Skip to main content

Survival of colorectal cancer patients in Brunei Darussalam: comparison between 2002–09 and 2010–17



Colorectal cancer (CRC) is a major cause of cancer-related mortality worldwide. It is the second leading cause of cancer death in men and women in Brunei Darussalam in 2017, posing a major burden on society.


This retrospective cohort study (n = 1035 patients diagnosed with CRC in Brunei Darussalam from 1st January 2002 until 31st December 2017) aims to compare the overall survival rates of CRC patients (2002–2017), to compare survival rates between two study periods (2002–2009 and 2010–2017) and to identify prognostic factors of CRC. Kaplan-Meier estimator and log-rank tests were performed to analyse the overall survival rates of CRC patients. Multiple Cox regression was performed to determine the prognostic factors of CRC with adjusted hazard ratios (Adj. HRs) reported.


The 1-, 3- and 5-year survival rates of CRC patients are 78.6, 62.5, and 56.0% respectively from 2002 to 2017. The 1-, 3-, and 5-year survival rates of CRC patients for 2002–2009 are 82.2, 69.6, and 64.7%; 77.0, 59.1, and 51.3% for 2010–2017 respectively. A significant difference in CRC patients’ survival rate was observed between the two study periods, age groups, ethnic groups, cancer stages, and sites of cancer (p < 0.05). The Adjusted Hazard Ratios (Adj. HRs) were significantly higher in the 2010–17 period (Adj. HR = 1.78, p < 0.001), older age group ( ≥ 60 years) (Adj. HR = 1.93, p = 0.005), distant cancer (Adj. HR = 4.69, p < 0.010), tumor at transverse colon and splenic flexure of colon (Adj. HR = 2.44, p = 0.009), and lower in the Chinese(Adj. HR = 0.63, p = 0.003).


This study highlights the lower survival rates of CRC patients in 2010–2017, Malays, older patients, distant cancer, and tumors located at the latter half of the proximal colon (transverse colon), and predominantly LCRC (splenic flexure, descending colon, sigmoid colon, overlapping lesion colon and colon (NOS), as well as the rectosigmoid junction and rectum (NOS)). Age, ethnicity, cancer stage, and tumor location are significant prognostic factors for CRC. These findings underscore the importance of public health policies and programmes to enhance awareness on CRC from screening to developing strategies for early detection and management, to reduce CRC-associated mortality.

Peer Review reports


Colorectal cancer (CRC) is the third most commonly diagnosed cancer (10.2%) and the second leading cause of cancer death (9.2%) in men and women worldwide [1]. The high incidence (positively associated with human development index), coupled with the substantial increasing incidence rates of CRC is a major challenge globally [2].

Brunei Darussalam is a high income country [3] in Southeast Asia, with a population of 421,300 in 2017, comprising predominantly Malays (including the indigenous groups: Belait, Bisaya, Brunei, Dusun, Kedayan, Murut and Tutong) (65.8%), Chinese (10.2%) and “Others” (23.9%) [4]. Healthcare is highly accessible in Brunei with services free to all citizens and permanent residents (76.8 and 7.8% of the population respectively). Recent data shows that non-communicable diseases (cancer, heart diseases, diabetes mellitus and cerebrovascular diseases) contributed to 52% of total deaths in Brunei [4], where cancer is the leading cause of death with around 20% of all annual deaths [4,5,6,7]. High-income Asia Pacific, including Brunei has one of the highest age-standardised incidence rate (ASR) (per 100 000 person-years) for CRC globally. The ASR of CRC in Brunei has increased by 40.5% (16.6 to 66.7), from 31.2% (26.7 to 36.4) in 1990 to 43.8% (39.8 to 48.6) in 2017, compared to the global average increase of 9.5% (4.5–13.5) (from 21.2% (20.7 to 21.9) to 23.2% (22.7 to 23.7) in 1990 and 2017 respectively) [2], with colon, rectum and anus cancer being the leading cause of cancer death in men (22.5%) and the second leading cause of cancer death in women (14.2%) in Brunei in 2017 [4], highlighting the burden of CRC. The mean age of CRC diagnosis in Brunei Darussalam was 59.3 ± 14.6 years old [8].

The CRCs are a very complex and heterogeneous group of diseases due to the involvement of various mutations and mutagens [9]. The multi-step model of colorectal tumorigenesis states that CRC development often involve the mutational activation of an oncogene combined with the loss of several genes that normally suppress tumorigenesis [10]. Heritability estimates of CRC (from twin and family studies) range from 12 to 35% [11], with around 5% of cases associated with well-characterized familial mutations while the etiologies of the remaining inherited CRCs are not fully known [12]. Although the detailed mechanisms behind CRC development remains incomplete, dietary and lifestyle factors have been implicated [13]. Adaptation of a “Westernized” diet (defined by high intake of refined carbohydrates, added sugars, fats, and animal-source foods [14]), physical inactivity or a sedentary lifestyle, smoking, and comorbidity such as obesity, have been associated a higher CRC risk [15].

Early diagnosis of CRC improves survival, with 5-year survival rate of early stage cancer patients as high as 90% [16,17,18]. Major interventions to reduce mortality from colorectal cancer include the removal of polyps and early detection interventions with screening tests such as colonoscopy, flexible sigmoidoscopy, faecal occult blood testing (FOBT), and faecal immunochemical testing (FIT) [2]. Previously, colonoscopy and FIT were practiced in Brunei on an opportunistic basis. A national screening programme with screening guidelines for CRC was launched in 2019. Screening is recommended for those between the ages 50–75 years with FIT or/and colonoscopy (FIT every 2 years if negative; colonoscopy for those with positive FIT or for those who opted for scope, scope every 10 years if negative); individuals < 50 years with risk factors for CRC will be offered colonoscopy (every 3–5 years depending on risk factors); individuals aged 76–85 years old are not automatically screened but are offered colonoscopy every 10 years if they are deemed fit for scope and if negative for FIT; if they are unfit for scope, they will undergo FIT every 2 years if FIT negative); screening is not recommended for individuals ≥ 86 years old [19].

Clinical survival data of CRC patients will be useful to the community to narrow any knowledge gaps in screening, diagnosis and intervention. In this study, the overall survival rates of CRC patients at 1-,3- and 5-year in Brunei Darussalam were analysed and compared between two study periods (2002–2009 and 2010–2017). Due to CRC being a leading cause of cancer-related deaths and its increasing incidence, we also aim to identify some of the prognostic factors associated with CRC as study findings may better inform healthcare professionals, and steer health policy makers towards public health initiatives to prevent and reduce mortality from CRC.

Materials and methods


This retrospective population-based cohort study analysed data of 1035 CRC patients from the Brunei Darussalam Cancer Registry (Ministry of Health, Brunei Darussalam) who were diagnosed with CRC from the 1st January 2002 to the 31st December 2017. All patients are residents of Brunei Darussalam.

Data collection

De-identified data were extracted from the Brunei Darussalam Cancer Registry (BDCR), Ministry of Health. Data extracted include patients’ demographics including their age, gender, ethnicity, residential districts, and clinical details such as date of diagnosis, date of death, staging of cancer, morphology, ICD-10 code and the site of cancer.

Participants were categorised by gender (male and female), age groups (< 40, 40–59, ≥ 60 years), ethnicities (Malay, Chinese, and Others), Surveillance, Epidemiology, and End Results (SEER) stages (localised, regional, or distant), sites of cancer (cecum until hepatic flexure, transverse colon until splenic flexure, descending colon until colon (NOS), and rectosigmoid junction until rectum (NOS)), and living status (alive or deceased). Cancer sites were grouped into 4 categories based on risk profile similarity and to ensure sample sizes are valid for statistical analysis. The first category “cecum until hepatic flexure” includes cecum, appendix, ascending colon, and hepatic flexure of colon; the second category “transverse colon until splenic flexure” includes the transverse colon and the splenic flexure of colon; the third category “descending colon until colon (NOS)” includes the descending colon, sigmoid colon, overlapping lesion colon, and the colon (NOS); the fourth category “rectosigmoid junction until rectum” includes the rectosigmoid junction and the rectum (NOS). The data were further categorised into two study periods (2002–2009 and 2010–2017) before statistical analysis.

Statistical analysis

Data was imported from a Microsoft Excel sheet and analysed with a statistical software R (Version 4.0.2) and RStudio (Version 3.4.3) for Windows. Descriptive statistics were computed for study variables, followed by univariate Chi-square (χ2) test for independence to explore association of variables with CRC between the two study periods (2002–2009 and 2010–2017). Survival rate or overall survival, in this study, is defined by the length of time that patients diagnosed with CRC (from the date of diagnosis of CRC) are still alive. Survival rate analysis of CRC patients at 1, 3, and 5-year interval for different gender, age groups, ethnic groups, stages of cancer, sites of cancer, and study periods were calculated using the Kaplan-Meier method and survival curves were plotted accordingly. Log-rank tests were used to compare the survival rates of CRC patients between gender, age groups, ethnic groups, stages of cancer, sites of cancer, and between two different study periods. Multiple Cox regression was performed to determine the prognostic factors of CRC. Hazard ratios (HRs) and adjusted HRs (Adj. HRs) and their 95% confidence intervals (CIs) were also reported. p-value was set at < 0.050 for statistical significance.


Characteristics of CRC patients

One thousand thirty-five CRC patients were included in the analysis. There were 303 patients from 2002-2009 and 732 patients fromduring 2010–2017. The demographic and clinical characteristics of CRC patients in Brunei Darussalam are presented in Table 1.

Table 1 Demographic and clinical characteristics of colorectal cancer patients (n = 1035)

Half of the patients (50.0%) were 60 years old and/or above, followed by patients aged 40 to 59 years old (42.1%). The youngest patients were 19 years old for the 2002–2009 period and 11 years old for the 2010–2017 period (data not shown). More than half (56.6%) of the patients were males. Over 70% were Malays while 22.0 and 5.4% were of Chinese ethnicity and other ethnicities respectively. Majority of patients reside in Brunei-Muara district (67.5%), followed by Tutong (12.4%), Belait (17.8%), and Temburong (2.3%). Thirty-three point 9 % (33.9%), 31.1 and 35.0% of patients were diagnosed at localised, regional and distant cancer stages respectively. Fifty-six point 5 % (56.5%) of the patients had primary tumor sites within the colon (cecum (1.1%), appendix (1.9%), ascending colon (3.8%), hepatic flexure of colon (1.4%), transverse colon (2.7%), splenic flexure of colon (0.9%), descending colon (3.7%), sigmoid colon (18.0%), overlapping lesion colon (1.5%) and colon (NOS) (21.6%)), while tumors in the rectum (rectosigmoid junction (11.9%) and rectum (NOS) (31.6%)) account for 43.5% of total CRC cases. By the end of the study period, 49% of the patients were still alive (data not shown). Upon comparing the two study periods (2002–2009 and 2010–2017), only SEER stage was significantly different (p = 0.001). In 2010–2017, there were less distant cases (33.5% versus 38.2%) and localised cases (31.5% versus 39.7%) but more regional cases (31.5% versus 21.8%) compared to 2002–2009.

Overall survival rates of CRC patients

The 1-, 3-, and 5-year survival rates of CRC patients from the period 2002–2017 are 78.6, 62.5, and 56.0% respectively (Table 2). The overall Kaplan-Meier survival curve is presented in Fig. 1. Comparing the two study periods, patients diagnosed in 2002–2009 have higher 1-, 3-, and 5-year survival rates (82.2, 69.6, and 64.7% respectively) than patients diagnosed between 2010 and 2017 (77.0, 59.1, and 51.3% respectively) (p < 0.001) (Table 2). Kaplan-Meier survival curves from the two study periods are shown in Fig. 2. Log-rank test showed that age (p < 0.001), ethnicity (p < 0.001), cancer (SEER) stages (p < 0.001) and sites of cancer (p < 0.001) significantly affect the survival of CRC patients (Table 2). Survival curves of CRC patients by age groups, ethnicity, cancer stages, and sites of cancer are presented in Figs. 3, 4, 5, and 6 respectively.

Table 2 Comparison of survival by periods and other characteristics (n = 1035)
Fig. 1
figure 1

Kaplan-Meier Survival Curve of Colorectal Cancer Patients (2002–2017)

Fig. 2
figure 2

Kaplan-Meier Survival Curves of Colorectal Cancer Patients (comparing two study periods)

Fig. 3
figure 3

Kaplan-Meier Survival Curves of Colorectal Cancer Patients by Age Groups

Fig. 4
figure 4

Kaplan-Meier Survival Curves of Colorectal Cancer Patients by Ethnic Groups

Fig. 5
figure 5

Kaplan-Meier Survival Curves of Colorectal Cancer Patients by SEER Staging

Fig. 6
figure 6

Kaplan-Meier Survival Curves of Colorectal Cancer Patients by Sites of Cancer

Prognostic factors

Multiple Cox regression analysis shows that age groups, ethnicity, cancer (SEER) stages, and sites of cancer are significant prognostic factors for CRC (p < 0.050) (Table 3). Patients diagnosed with CRC in 2010–2017 had a significantly poorer prognosis [Adj. HR = 1.78, 95% CI: 1.38, 2.29, p < 0.001] than those diagnosed in 2002–2009. The oldest age group (≥ 60 years) has a significantly poorer prognosis [Adj. HR = 1.93, 95% CI: 1.21, 3.06, p = 0.005] compared to those below 40 years old, whereas patients aged 40–59 years have comparable prognosis [Adj. HR = 1.46, 95% CI: 0.92, 32.33, p = 0.113] relative to patients below 40 years old. Among ethnic groups, the Chinese had significantly better prognosis [Adj. HR = 0.63, 95% CI: 0.48, 0.86, p = 0.003] than the Malays. Patients with distant cancer have significantly poorer prognosis [Adj. HR = 4.69, 95 CI%: 3.46, 6.36, p < 0.001] compared to patients with localized cancer. This trend is also observed in patients with regional cancer [Adj. HR = 2.34, 95 CI%: 1.69, 3.25, p < 0.001]. In addition, tumor location significantly affects survival of CRC patients: Patients with tumors in the transverse colon and splenic flexure of colon exhibit the poorest prognosis [Adj. HR = 2.44, 95% CI: 1.25, 4.76, p = 0.009] compared to patients with tumors in the cecum until hepatic flexure (includes the cecum, appendix, ascending colon, and hepatic flexure of colon). Patients with tumors in the descending colon to colon (NOS) (descending colon, sigmoid colon, overlapping lesion colon, and colon (NOS)) have the second poorest prognosis [Adj. HR = 2.01, 95% CI: 1.26, 3.20, p = 0.003], compared to patients with tumors in the cecum until hepatic flexure. The prognosis of patients with tumors in the rectosigmoid junction and rectum (NOS) [Adj. HR = 2.00, 95% CI: 1.24, 3.24, p = 0.005] is comparable to those with tumors in the descending colon until colon (NOS) (relative to patients with tumors in the cecum until hepatic flexure).

Table 3 Comparing survival between two periods controlling for other variables using multiple Cox regression


There is a huge incidence gap of CRC across countries and world regions whereby incidence is associated with the level of socioeconomic development. Regions higher on the Human Development Index (HDI) have higher incidence, and regions that are lower on the HDI have a lower incidence [13]. The higher incidence of CRC in Brunei (a high HDI region) [20] may be a reflection of the quality of our healthcare infrastructure and surveillance system. There is a disproportionate (2.42-fold or 141.5%) increase in the number of CRC patients diagnosed in 2010–2019 (732 individuals) compared to 2002–2009 (303 individuals) (the population has increased by only 1.08 fold or 8.6% [6, 21, 22] between the two periods). The introduction of Brunei Darussalam Healthcare Information and Management System (Bru-HIMS), a national and centralised electronic medical health database in late 2012 may have improved medical surveillance and better capture all CRC patients, partially accounting for the spike in numbers in the latter period. The substantial rise in CRC cases from 2002 to 2009 to 2010–2017 may also be due to other factors. Dietary patterns have been strongly implicated in CRC development. Diet can modulate the gut microbiota and their metabolites, epigenetics, inflammation and immune function, and trigger metabolic or hormonal disruption to influence cancer risk [23]. With modernization, the global nutrition transition has rapidly shifted dietary behaviours to heavy reliance on processed foods, increased away-from-home food intake and excessive consumption of edible oils and sugar-sweetened beverages, leading to adverse outcomes [14]. A recent systematic review and meta-analysis reported an association between a Westernized diet and higher risk of CRC [24], with plant-based diets conferring protective effects against CRC [25, 26]. It is noted that a high proportion (91.7%) of the Bruneian adult population do not meet the required consumption of fruits and vegetables [27]. Tobacco smoking has been shown to cause CRC, especially among long-term smokers through formation of polyps in the intestine [28,29,30]. Although the percentage of smokers in this population remains unknown, a study has reported that 20% of adults in Brunei smoke [27]. Physical inactivity may increase the risk of CRC [31], although the reason behind it is still unclear [32]. A previous study has shown that physical inactivity is prevalent among elderly Bruneians. Another risk factor is obesity, which may be related to physical inactivity and dietary behaviors. Brunei has the highest prevalence of obesity (28.2%) compared to other Southeast Asian countries [27].

Comparing the two periods, there is an increasing proportion of younger CRC patients (< 40 years old, and 40–59 years old) from 46.8 to 51.3%; specifically, the percentage increase of patients < 40 years old is 20.3% from 2002 to 2009 to 2010–2017, and the percentage increase of patients 40–59 years old patients is 7.8% from 2002 to 2009 to 2010–2017). Meanwhile, the proportion of elderly CRC patients ≥ 60 years old has decreased from 53.1% in 2002–2009 to 48.6% in 2010–2017, a percentage decline of 8.5% (for comparison, the percentage proportion of ageing population in Brunei in the latter period has expanded by 72.5% where the proportion of ≥ 55 year olds increased from 6.2% [21, 22] (2002–2009) to 10.7% (2010–2017)) [6]. The rise in young CRC patients (< 40 years old) (20.3% increase in proportion of CRC cases; from 6.9% in 2002–2009 to 8.3% in 2010–2017) calls for awareness on the existence of CRC in younger individuals. Some studies have recommended a lower screening age, with non-invasive techniques such as the FOBT for high-risk groups < 50 years [33]. With the advent of precision medicine, personalized screening approaches such as genetic profiling of high-risk patients to reveal specific molecular alterations to determine genetic susceptibility and to guide targeted therapy [34, 35], may also benefit survival outcomes. A novel, US FDA (United States Food and Drug Administration)-approved non-invasive stool-DNA test, Cologuard (also known as a multitargeted stool DNA test [MT-sDNA] or FIT-DNA) which tests for both abnormal cancer-associated DNA changes (from CRC or polyp cells that often enters the stool) and blood in the stool without requiring any dietary or drug restrictions may also be considered, as it comes with the flexibility of self-sampling from home [36] for patients’ convenience and preserves privacy.

Advanced stage CRC (Stage 3 or 4) was observed in 68.5% (regional: 35.0%, distal: 33.5%) of our patients in 2010–2017, up from 60.2% in 2002–2009. This may be attributed to several factors such as low awareness of early signs and symptoms of CRC (54.1% of the population are unaware of the signs and symptoms of CRC) [37], fears and denial in the context of Brunei (the free healthcare coverage for citizens and permanent residents (84.6% of the population) in Brunei negates the effects of healthcare expenses as a barrier to seeking diagnosis/treatment). Besides fear and denial of cancer diagnosis, fear of poor prognosis, or fear of embarrassing and unpleasant medical investigations, have also been linked to increase delay in seeking medical advice or treatment. These fears and denial behaviours in turn, are attributed to a lack of knowledge about symptoms, the importance and implications of CRC diagnosis at an early stage, and the availability of diagnostic tools [38]. In addition, those experiencing non-specific CRC symptoms such as weight loss and fatigue tend to be normalized and be disregarded by patients, which may prevent them from seeking timely medical attention. Although advanced stage (regional and distant stages) CRC diagnosis increased in the latter period generally, distant stage CRC cases were relatively lower (33.5% versus 38.4%) whereas regional stage CRC cases were relatively higher (35.0% versus 21.8%) in 2010–2017 compared to 2002–2009. The shift of diagnostic trend from distant stage to regional stage may reflect the improved surveillance in the latter period, post-Bru-HIMS. However, contrary to our expectations (that the improved surveillance would improve early/localised stage diagnosis), there were relatively less CRC patients diagnosed at localised stage (31.5%) in 2010–2017 compared to 2002–2009 (39.7%). The relatively higher proportion of localised stage CRC cancers in the earlier period (2002–2009) may be due to an underestimation of advanced (regional and distant) CRC cases (60.2%), pre-Bru-HIMS. Underestimation of advanced-stage CRC patients in the earlier period (2002–2009) may arise as CRC patients with late-stage diagnosis are more likely to exhibit strong fears and denials and experience unsuccessful or refuse referrals, therefore remain uncaptured before the establishment of the digital healthcare system in 2012. Findings from the Health Screening Program conducted in Brunei Darussalam in 2009 involving government civil servants (FIT-positive) shows poor screening uptake rate, with just over half of the patients agreeing to colonoscopy, suggesting the importance of public measures to fight ignorance and increase awareness. The ‘private nature’ of CRC symptoms also suggests that it is crucial to reduce stigma on conversations around bowel movements with others including healthcare professionals [39]. It will also be useful to characterize patients’ experience, from symptoms’ (bleeding, obstruction, and abdominal/rectal pain [40]) onset to diagnosis, to identify potential barriers and promptly guide future interventions [41].

No significant difference in survival rates between genders were observed in this study, although female CRC patients are significantly younger (< 40 years) than male CRC patients (p = 0.002) (data not shown), consistent with a previous 29-year national epidemiological study [42]. However, males account for more than half of the total CRC cases (56.8%) in 2002–2009 and (56.6%) in 2010–2017, concurrent with findings from previous reports of higher incidence of CRCs among males [43, 44]. A recent systematic analysis of global CRC trends from 1990 to 2017 across 195 countries and territories reported high numbers of incidence and deaths among males than females up to the ages of 80–84 years, with the highest rates observed in the oldest age group (≥ 95 years) for both sexes [2]. It has been reported that female CRC patients have a survival advantage compared to male CRC patients, particularly in young and middle-aged patients and patients with localized disease [45]. Factors such as differences in diet and lifestyle [15], and the protective effect of estrogens in females against CRC [46, 47], may explain the male predominance in CRC. Meanwhile, other studies observed no differences in 5-year survival between the sexes [reviewed in [43]]. The association between gender and CRC survival therefore remains to be validated as study findings remain inconsistent [48], due to variations in study design/analysis and differences in CRC subgroupings. Standardizing and harmonizing study designs with large, multi-center, population-based data may be the way forward.

The global heterogeneity in survival rates of CRC patients may be due to the varied lifestyles, environmental, and genetic factors. The 1, 3- and 5-year survival rates of CRC patients from 2002 to 2017 in this study are 78.6, 62.5, and 56.0% respectively. The overall 5-year survival rate for CRC patients in this study (56.0%) is slightly below the average (60%) for Asia [49], with South Korea observing the highest levels of 5-year survival (75%) of CRC patients from 2011 to 2015 [50]. A US-based study of CRC patients diagnosed between 2008 and 2014 has reported average 5-year relative survival rates at 64.5% (across all races investigated), ranging from 57.8 to 66% [9]. Meanwhile, the 5-year net survival for colon cancer across Europe from 2010 to 2014 averages to 60%, ranging from 65% or more in Belgium, Finland, Sweden and Germany to less than 55% in many Central and Eastern European countries including Latvia, Croatia, the Slovak Republic, Romania, Bulgaria and Poland. These countries also have lower 5-year net survival for rectal cancer [51]. The lower overall 5-year survival rate for CRC patients in our study may be due to the high proportion of advanced stage CRC (particularly distant stage diagnosis) at 35.0% from 2002 to 2017 compared to 15.6% (2006–2015 data) in South Korea [50], 21.2 to 39% (1995–2011 data) between different regions in Malaysia and 23.2% in Singapore (2007–2011 data) [52], suggesting the importance of early detection on improved survival.

Our study also demonstrates that the 5-year survival rate of CRC patients is significantly lower in 2010–2017 (51.3%) compared to 2002–2009 (64.7%). This may be attributed to a larger number of unrecorded and/or undiagnosed CRC mortalities in 2002–2009 (pre-Bru-HIMs), leading to an overestimation of surviving patients in the earlier period. In addition, Bru-HIMS-facilitated alterations in the coding mechanism for causes of deaths may also contribute to improved/accurate case registration in the latter period (2010–2017). Epidemiological studies have shown an increased risk of CRC in patients with inflammatory bowel disease (IBD) [53]. The incidence of IBD in Brunei has increased from 0.28 per 100,000 population in 2004 to 3.08 per 100,000 population in 2016 [54] . However, the proportion of patients with IBD who transitions to CRC remains to be determined. A poorer prognosis in the latter period may also be attributed to treatment refusal or high dropout rates among patients. Advanced-stage cancer, feeling discouraged or depressed from the cancer worsening, and pre-existing catastrophic illnesses make patients more likely to refuse treatment [55], which may contribute to a lower 5-year survival rate.

This study shows that CRC patients < 40 years old have a higher 5-year survival rate than those aged ≥ 60 years old (69.4% versus 51.2% respectively). Adj. HRs indicate that patients ≥ 60 years old have the highest risk of mortality, followed by the 40 to 59 years old group. This is contrary to a previous report, which shows that age does not impact survival rates of CRC patients significantly [48]. The average life expectancy (males and females) in Brunei has increased from 76.6 years between 2002 and 2009 [56] to 77.6 years between 2010 and 2017 [19], suggesting that the increased mortality risk among the elderly group is not attributed to a general reduction in life expectancy. The increasing proportion of ageing population nationally [6, 21, 22] and globally [57] calls for concern to address ways to reduce mortality among the elderly CRC patients. The presence of more advanced comorbidities in elderly CRC patients [58, 59], may also explain their lower survival rate. Malnutrition, a frequent physical manifestation of gastrointestinal cancers which is particularly common in older adults, have potential negative repercussions on quality of life, functional status, treatment tolerance, and prognosis [60]. However, nutrition post-cancer diagnosis especially in elderly patients remains understudied [61] and knowledge gaps remain to be closed.

Malaysian and Bruneian studies have reported a higher incidence of CRC among the Chinese [48, 62, 63]. As mentioned earlier, the burden of colorectal cancer has been attributed to dietary risks, and lifestyle factors including alcohol consumption, and smoking [2]. Cultural and lifestyle differences among different ethnicities may contribute to the etiology of CRC. Previous studies show strong evidence of an association between alcohol consumption and colorectal cancer risk [64,65,66]. It remains to be determined whether alcohol consumption is associated with the increasing incidence of CRC among Bruneian-Chinese (alcohol consumption is forbidden amongst Muslims (predominantly Malays), by the Islamic law in this country). The unequal CRC risk between different ethnic groups within the same region may also be explained by genetic factors that may alter the effects of the environment on disease predisposition [67]. Despite the higher incidence of CRC among the Chinese population in Brunei, they have significantly higher 1-year, 3-year and 5-year survival rates, and a significantly lower risk of death after adjusting for variables, compared to the Malays. In addition, Bruneian-Chinese tend to develop CRC at a slightly later age (60.4 ± 12.7 years) compared to the Malays (59.9 ± 15.2 years) [8]. The disparity in survival rates between CRC patients of differing ethnicities in Brunei are in agreement with findings in Singaporean studies [68, 69] but differs from the findings in Malaysia [48]. It is important to consider that the number of Bruneian-Chinese patients may be underestimated in our study, as they may seek diagnosis and/or treatment overseas [62], thus may not be enrolled in the cancer registry. The reluctance to seek aggressive therapies among the Malay CRC patients may contribute to their low survival rates [68, 69]. Local clinicians also report the tendency of patients to opt for mostly traditional medicine before considering, and therefore delaying conventional treatment (personal communication). It is integral that healthcare professionals in Brunei work to increase targeted awareness in the community regarding CRC symptoms and the importance of early screening and early intervention.

This study shows that distant CRC is associated with the highest risk of death, followed by regional cancer, and localised cancer, consistent with previous reports [9, 31]. Surgical removal of advanced staged tumors with metastatic lesions is challenging [70], therefore, minimizing the number of CRC patients who present with advanced stage diagnosis needs to be emphasised. It is also crucial for physicians and the relevant multidisciplinary team to construct an effective treatment and clinical management plan with supportive care for patients to improve their quality of life.

This study shows that tumor location impacts survival outcome of CRC patients. The definition of right-sided colorectal cancer (RCRC) and left-sided colorectal cancer (LCRC) varies across different studies with respect to tumors in the transverse colon (some studies consider the cecum, ascending colon, hepatic flexure and transverse colon as RCRC; LCRC includes the splenic flexure, descending colon, sigmoid colon and rectosigmoid cancers [71,72,73]) whereas other studies only include the proximal two-thirds of the transverse colon (alongside cecum, ascending colon and hepatic flexure) as RCRC, with the distal third of the transverse colon (alongside splenic flexure, descending colon, sigmoid colon and rectosigmoid cancers) categorized as LCRC [74, 75]. The effect of CRC tumor subsite on CRC patients’ survival rate of our study differs from previous reports of improved prognosis in LCRC [76,77,78,79]. Our study shows that majority of the patients (89.2%) present with LCRC (tumor sites from splenic flexure to the rectum), which tends to associate with lowered 5-year survival rates and higher risk of death. CRC patients with tumors in the first part of the proximal/right-sided colon (cecum until hepatic flexure) have a significantly higher 5-year CRC survival rate (77.8%), compared to patients with tumors in the transverse colon and splenic flexure (5-year survival: 52.2%), patients with tumors in the descending colon, sigmoid colon, overlapping lesion colon and colon (NOS) (5-year survival: 55.2%) and patients with tumors in the rectosigmoid junction until rectum (5-year survival: 51.0%). Patients with tumors in the transverse colon and splenic flexure [Adj. HR = 2.44 (1.25, 4.76); p = 0.009], descending colon, sigmoid colon, overlapping lesion colon and colon (NOS) [Adj. HR = 2.01 (1.26, 3.30); p = 0.003]) followed by those with tumors in the rectosigmoid junction until rectum (NOS) [Adj. HR = 2.00 (1.24, 3.24); p = 0.005]) have significantly higher risk of mortality compared to patients with tumors located from the caecum to the hepatic flexure of colon. RCRC and LCRC have differing embryological origins (right-sided colon arises from the embryologic midgut whereas left-sided colon is derived from the embryologic hindgut) [80], molecular etiologies [81] and significant epidemiological, clinical and histological differences [82, 83]. Microsatellite instability (MSI) is more common in RCRCs. Although tumors showing MSI have an improved prognosis, the good prognosis may be counteracted by the fact that they tend to present at a later stage. In contrast, LCRCs tend to involve p53 mutations, and overexpression of vascular endothelial growth factor which are associated with an adverse prognosis and poor response to fluorouracil-based chemotherapy [82]. RCRC has been associated with poorer survival outcomes as RCRC patients tend to be older [74, 83, 84], and typically present with more advanced, poorly differentiated tumor, with flat morphology, thus more challenging to detect, compared to LCRC patients [76, 80, 81]. Although CRC patients with tumors in the cecum until the hepatic flexure (RCRC) have the highest survival rate compared to CRC patients with other cancer sites, the sample size is significantly smaller (8.2% of total CRC patients) than that of other cancer sites. Therefore, these findings remain to be validated with a larger sample size. The small number of RCRC patients (10.8% of total CRC patients) in this study may also be due to reporting bias, due to challenges in detection as mentioned earlier. As CRC presents differently depending on tumor location and sidedness, screening and awareness efforts should emphasize the different presentations [85]. Screening modality choice may also be affected by the anatomic location of CRC presentation; for instance FOBT is more sensitive for detecting left-sided lesions compared with right-sided lesions [86]. Overall, the survival rate of CRC patients with LCRC and RCRC remain conflicting, and there is insufficient evidence to support the use of tumor location in making decisions about therapy. Therefore, a deeper understanding of the interaction between tumor sub-site and molecular profile may facilitate personalised therapy to improve management of CRC patients [87].

A strength of our study is the use of a population-based national cancer registry where data is centralized and cross-verified from the pathology laboratory, clinical reports, electronic medical records and death registry. However, like any data registry, there are several limitations such as coding inaccuracies due to heavy manual data-recording especially in the early period (2002 to 2009) prior to the introduction of the electronic medical record system, Bru-HIMS. This may result in an underestimation and/or overestimation of CRC patients’ survival rates. In addition, CRC patients who chose to seek diagnosis and/or treatment overseas may not be enrolled in the registry (although this number is likely to be small due to the availability of free universal healthcare services in Brunei). In addition, in-situ cases were not included in the analysis as the data obtained from the cancer registry using CanReg5 was designed primarily for reporting of malignant cancers. The presence of unknown variables in the cancer registry may also lead to ambiguity in the results. Information such as patients’ family health history, comorbidities, diet, lifestyle factors, treatment(s) received and their responses to treatments were not available, thus were not evaluated. A larger data set including those from pre-2002 would enable an improved assessment of the survival rates of CRC patients in Brunei Darussalam (BDCR was only established in 2002, therefore prior data were not analysed).

In conclusion, this study evaluated the 1-, 3- and 5-year survival rates of CRC patients in Brunei, compared the survival rates between age groups, ethnicities, cancer stages, and sites of cancer, as well as compared CRC patients’ survival rates between two different study periods. Although the overall survival rates were similar to data from other countries/population, our study observed a significant increase in the number of new CRC cases in the period 2010–2017 compared to 2002-2009, increase in the proportion of younger CRC patients and a high proportion of CRC diagnosed at advanced stages. These findings highlight the importance of public health policies and programmes to enhance cancer prevention strategies and improve awareness on CRC including screening, symptom recognition among the younger population, healthy lifestyle practices, and the significance of early diagnosis and early intervention, to reduce CRC-associated mortality.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


Adj. HR(s):

Adjusted hazard ratio(s)


Age-standardised incidence rate


Brunei Darussalam Healthcare Information and Management System


Confidence Interval(s)


Colorectal cancer


Faecal immunochemical testing


Faecal immunochemical testing-DNA test


Faecal occult blood testing


Hazard ratio


Human development index


Inflammatory bowel disease


Left-sided colorectal cancer


Microsatellite instability


Multi-targeted stool DNA test


Not otherwise specified


Right-sided colorectal cancer


Surveillance, epidemiology, and end results


  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.

    Article  PubMed  Google Scholar 

  2. Safiri S, Sepanlou SG, Ikuta KS, Bisignano C, Salimzadeh H, Delavari A, et al. The global, regional, and national burden of colorectal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet Gastroenterol Hepatol. 2019;4(12):913–33.

    Article  Google Scholar 

  3. The World Bank. Worldbank data: Brunei Darussalam. Retrieved November 11, 2020 from,

  4. Ministry of Health B. Health Information Booklet, 2017. 2017. Available from:

    Google Scholar 

  5. Ministry of Health BD. Health Information Booklet, 2016. 2016; Available from:

    Google Scholar 

  6. Ministry of Health BD. Health Information Booklet, 2015. 2015. Available from:

    Google Scholar 

  7. Ministry of Health BD. Health Information Booklet. 2014. Available from:

    Google Scholar 

  8. Chong VH, Telisinghe PU, Bickle I, Abdullah MS, Lim E, Chong CF. Increasing incidence of colorectal cancer, starting at a younger age for rectal compared to colon cancer in Brunei Darussalam. Asian Pac J Cancer Prev. 2015;16(12):5063–7.

    Article  PubMed  Google Scholar 

  9. Rawla P, Barsouk A. Epidemiology of gastric cancer: global trends, risk factors and prevention. Prz Gastroenterol. 2019;14(1):26–38.

  10. Vogelstein B, Fearon ER, Hamilton SR, Kern SE, Preisinger AC, Leppert M, et al. Genetic alterations during colorectal-tumor development. N Engl J Med. 1988;319(9):525–32.

    Article  CAS  PubMed  Google Scholar 

  11. Jiao S, Peters U, Berndt S, Brenner H, Butterbach K, Caan BJ, et al. Estimating the heritability of colorectal cancer. Hum Mol Genet. 2014;23(14):3898–905.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Jasperson KW, Tuohy TM, Neklason DW, Burt RW. Hereditary and familial Colon Cancer. Gastroenterology. 2010;138(6):2044–58.

    Article  CAS  PubMed  Google Scholar 

  13. Guren MG. The global challenge of colorectal cancer. Lancet Gastroenterol Hepatol. 2019;4(12):894–5.

    Article  PubMed  Google Scholar 

  14. Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70(1):3–21.

    Article  PubMed  Google Scholar 

  15. Wong MC, Ding H, Wang J, Chan PS, Huang J. Prevalence and risk factors of colorectal cancer in Asia. Intest Res. 2019;17(3):317–29.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Moiel D. Early detection of Colon Cancer—the Kaiser Permanente northwest 30-year history: how do we measure success? Is it the test, the number of tests, the stage, or the percentage of screen-detected patients. Perm J. 2011;15(4):30–8.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Keane MG, Johnson GJ. Early diagnosis improves survival in colorectal cancer. Practitioner. 2012;256(1753):15–8. Retrieved from

  18. Survival Rates for Colorectal Cancer. Retrieved October 22, 2020 from,

  19. Ministry of Health BD. National Health Screening Guideline on Noncommunicable Diseases (NCDs). 2019. Available from: Jul2020.pdf.

    Google Scholar 

  20. UNDP. Human Development Report 2019: Inequalities in Human Development in the 21st Century Jordan; 2019. p. 1–10. Available from:

    Google Scholar 

  21. Ministry of Health BD. Health Information Booklet, 2005. 2005. Available from:

    Google Scholar 

  22. Ministry of Health BD. Health Information Booklet, 2006. 2006. Available from:

    Google Scholar 

  23. Steck SE, Murphy EA. Dietary patterns and cancer risk. Nat Rev Cancer. 2020;20(2):125–38.

    Article  CAS  PubMed  Google Scholar 

  24. Garcia-Larsen V, Morton V, Norat T, Moreira A, Potts JF, Reeves T, et al. Dietary patterns derived from principal component analysis (PCA) and risk of colorectal cancer: a systematic review and meta-analysis. Eur J Clin Nutr. 2019;73(3):366–86.

    Article  PubMed  Google Scholar 

  25. Orlich MJ, Singh PN, Sabaté J, Fan J, Sveen L, Bennett H, et al. Vegetarian dietary patterns and the risk of colorectal cancers. JAMA Intern Med. 2015;175(5):767–76.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Tantamango-Bartley Y, Jaceldo-Siegl K, Fan J, Fraser G. Vegetarian diets and the incidence of cancer in a low-risk population. Cancer Epidemiol Biomark Prev. 2013;22(2):286–94.

    Article  Google Scholar 

  27. Ong SK, Lai DTC, Wong JYY, Si-Ramlee KA, Razak LA, Kassim N, et al. Cross-sectional STEPwise approach to surveillance (STEPS) population survey of noncommunicable diseases (NCDs) and risk factors in Brunei Darussalam 2016. Asia Pac J Public Health. 2017;29(8):635–48.

    Article  PubMed  Google Scholar 

  28. Botteri E, Iodice S, Bagnardi V, Raimondi S, Lowenfels AB, Maisonneuve P. Smoking and colorectal Cancer. JAMA. 2008;300(23):2765–78.

    Article  CAS  PubMed  Google Scholar 

  29. Cross AJ, Boca S, Freedman ND, Caporaso NE, Huang WY, Sinha R, et al. Metabolites of tobacco smoking and colorectal cancer risk. Carcinogenesis. 2014;35(7):1516–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Liang PS, Chen TY, Giovannucci E. Cigarette smoking and colorectal cancer incidence and mortality: systematic review and meta-analysis. Int J Cancer. 2009;124(10):2406–15.

    Article  CAS  PubMed  Google Scholar 

  31. Haggar FA, Boushey RP. Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors. Clin Colon Rectal Surg. 2009;22(4):191–7.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Mármol I, Sánchez-de-Diego C, Dieste AP, Cerrada E, Yoldi MJR. Colorectal carcinoma: a general overview and future perspectives in colorectal cancer. Int J Mol Sci. 2017;18(1):197.

    Article  CAS  PubMed Central  Google Scholar 

  33. Smith RA, Cokkinides V, Brawley OW. Cancer screening in the United States, 2008: a review of current American Cancer Society guidelines and Cancer screening issues. CA Cancer J Clin. 2008;58(3):161–79.

    Article  PubMed  Google Scholar 

  34. Kim ER, Kim Y-H. Clinical application of genetics in Management of Colorectal Cancer. Intest Res. 2014;12(3):184–93.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Law PJ, Timofeeva M, Fernandez-Rozadilla C, Broderick P, Studd J, Fernandez-Tajes J, et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10(1):2154.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. American Cancer Society. Colorectal Cancer Screening Tests. Retrieved October 22, 2020 from,

  37. Chong VH, Lim AG, Baharudin HN, Tan J, Chong CF. Poor knowledge of colorectal cancer in Brunei Darussalam. Asian Pac J Cancer Prev. 2015;16(9):3927–30.

    Article  PubMed  Google Scholar 

  38. Vega P, Valentín F, Cubiella J. Colorectal cancer diagnosis: pitfalls and opportunities. World J Gastrointest Oncol. 2015;7(12):422–33. Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  39. Hall N, Birt L, Banks J, Emery J, Mills K, Johnson M, et al. Symptom appraisal and healthcare-seeking for symptoms suggestive of colorectal cancer: a qualitative study. BMJ Open. 2015;5(10):e008448.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Myers EA, Feingold DL, Forde KA, Arnell T, Jang JH, Whelan RL. Colorectal cancer in patients under 50 years of age: a retrospective analysis of two institutions’ experience. World J Gastroenterol. 2013;19(34):5651–7.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Chen FW, Chew TA, Sundaram V, Ladabaum U. Young-onset colorectal cancer (CRC): an exploration of patient care from first symptom onset to diagnosis. Gastroenterology. 2016;150(4):S–654.

  42. Koh KS, Telisinghe PU, Bickle I, Abdullah MS, Chong CF, Chong VH. Characteristics of young colorectal cancer in Brunei Darussalam: an epidemiologic study of 29 years (1986-2014). Asian Pac J Cancer Prev. 2015;16(8):3279–83.

    Article  PubMed  Google Scholar 

  43. White A, Ironmonger L, Steele RJC, Ormiston-Smith N, Crawford C, Seims A. A review of sex-related differences in colorectal cancer incidence, screening uptake, routes to diagnosis, cancer stage and survival in the UK. BMC Cancer. 2018;18(1):906.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Gao RN, Neutel CI, Wai E. Gender differences in colorectal cancer incidence, mortality, hospitalizations and surgical procedures in Canada. J Public Health (Bangkok). 2008;30(2):194–201.

    Article  Google Scholar 

  45. Majek O, Gondos A, Jansen L, Emrich K, Holleczek B, Katalinic A, et al. Sex differences in colorectal Cancer survival: population-based analysis of 164,996 colorectal Cancer patients in Germany. PLoS One. 2013;8(7):e68077.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Hendifar A, Yang D, Lenz F, Lurje G, Pohl A, Lenz C, et al. Gender disparities in metastatic colorectal cancer survival. Clin Cancer Res. 2009;15(20):6391–7.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Jung KW, Park S, Shin A, Oh CM, Kong HJ, Jun JK, et al. Do female Cancer patients display better survival rates compared with males? Analysis of the Korean National Registry Data, 2005-2009. PLoS One. 2012;7(12):e52457.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Magaji BA, Moy FM, Roslani AC, Law CW. Survival rates and predictors of survival among colorectal cancer patients in a Malaysian tertiary hospital. BMC Cancer. 2017;17(1):339.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Moghimi-Dehkordi B. An overview of colorectal cancer survival rates and prognosis in Asia. World J Gastrointest Oncol. 2012;4(4):71–7.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Hur H, Oh CM, Oh JH, Kyu Kim N, Won YJ. Characteristics and survival of Korean patients with colorectal cancer based on data from the Korea central Cancer registry data. Ann Coloproctol. 2018;34(4):212–21.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Nikšić M, et al. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018;391(10125):1023–75.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Veettil SK, Lim KG, Chaiyakunapruk N, Ching SM, Abu Hassan MR. Colorectal cancer in Malaysia: its burden and implications for a multiethnic country. Asian J Surg. 2017;40(6):481–9.

    Article  PubMed  Google Scholar 

  53. Stidham RW, Higgins PDR. Colorectal Cancer in inflammatory bowel disease. Clin Colon Rectal Surg. 2018;31(3):168–78.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Ong H, Idris F, Telisinghe P, Chong V. Incidence and characteristics of inflammatory bowel disease in Brunei Darussalam. Brunei Int Med J. 2018;14:120–7. Retrieved from

  55. Liu CY, Chen WTL, Kung PT, Chiu CF, Wang YH, Shieh SH, et al. Characteristics, survival, and related factors of newly diagnosed colorectal cancer patients refusing cancer treatments under a universal health insurance program. BMC Cancer. 2014;14(1):446.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Ministry of Health BD. Health Information Booklet, 2009. 2009. Available from:

    Google Scholar 

  57. United Nations. World Population Ageing 2019 Highlights. 2019. Available from:

    Book  Google Scholar 

  58. McKay A, Donaleshen J, Helewa RM, Park J, Wirtzfeld D, Hochman D, et al. Does young age influence the prognosis of colorectal cancer: a population-based analysis. World J Surg Oncol. 2014;12(1):370.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Van Eeghen EE, Bakker SD, van Bochove A, Loffeld RJLF. Impact of age and comorbidity on survival in colorectal cancer. J Gastrointest Oncol. 2015;6(6):605–12.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Mislang AR, Di Donato S, Hubbard J, Krishna L, Mottino G, Bozzetti F, et al. Nutritional management of older adults with gastrointestinal cancers: an International Society of Geriatric Oncology (SIOG) review paper. J Geriatr Oncol. 2018;9(4):382–92.

    Article  PubMed  Google Scholar 

  61. Presley CJ, Dotan E, Soto-Perez-de-Celis E, Jatoi A, Mohile SG, Won E, et al. Gaps in nutritional research among older adults with cancer. J Geriatr Oncol. 2016;7(4):281–92.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Chong VH, Abdullah MS, Telisinghe PU, Jalihal A. Colorectal cancer: incidence and trend in Brunei Darussalam. Singap Med J. 2009;50(11):1085–9. Retrieved from

  63. Abu Hassan MR, Ismail I, Mohd Suan MA, Ahmad F, Wan Khazim WK, Othman Z, et al. Incidence and mortality rates of colorectal cancer in Malaysia. Epidemiol Health. 2016;38:e20160.

  64. Fedirko V, Tramacere I, Bagnardi V, Rota M, Scotti L, Islami F, et al. Alcohol drinking and colorectal cancer risk: an overall and dose-response meta-analysis of published studies. Ann Oncol. 2011;22(9):1958–72.

    Article  CAS  PubMed  Google Scholar 

  65. Rossi M, Anwar MJ, Usman A, Keshavarzian A, Bishehsari F. Colorectal cancer and alcohol consumption—populations to molecules. Cancers (Basel). 2018;10(2):38.

    Article  CAS  Google Scholar 

  66. Wang Y, Duan H, Yang H, Lin J. A pooled analysis of alcohol intake and colorectal cancer. Int J Clin Exp Med. 2015;8(5):6878–89. Retrieved from

  67. Bishehsari F, Mahdavinia M, Vacca M, Malekzadeh R, Mariani-Costantini R. Epidemiological transition of colorectal cancer in developing countries: environmental factors, molecular pathways, and opportunities for prevention. World J Gastroenterol. 2014;20(20):6055–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Du WB, Chia KS, Sankaranarayanan R, Sankila R, Seow A, Lee HP. Population-based survival analysis of colorectal cancer patients in Singapore, 1968-1992. Int J Cancer. 2002;99(3):460–5.

    Article  CAS  PubMed  Google Scholar 

  69. Wong MTC, Eu KW. Rise of colorectal cancer in Singapore: an epidemiological review. ANZ J Surg. 2007;77(6):446–9.

    Article  PubMed  Google Scholar 

  70. Cirocchi R, Trastulli S, Abraha I, Vettoretto N, Boselli C, Montedori A, et al. Non-resection versus resection for an asymptomatic primary tumour in patients with unresectable stage IV colorectal cancer. Cochrane Database Syst Rev. 2012;8:CD008997.

  71. Weiss JM, Pfau PR, O’Connor ES, King J, LoConte N, Kennedy G, et al. Mortality by stage for right- versus left-sided colon cancer: analysis of surveillance, epidemiology, and end results-medicare data. J Clin Oncol. 2011;29(33):4401–9.

  72. Iacopetta B. Are there two sides to colorectal cancer? Int J Cancer. 2002;101(5):403–8.

    Article  CAS  PubMed  Google Scholar 

  73. Janssens K, Boeckx N, Van Camp G, De Beeck KO, Fransen E, Calay F, et al. Comparing survival in left-sided and right-sided colorectal carcinoma: A Belgian population-based study. Ann Oncol. 2018;29(5):v98.

  74. Stintzing S, Tejpar S, Gibbs P, Thiebach L, Lenz HJ. Understanding the role of primary tumour localisation in colorectal cancer treatment and outcomes. Eur J Cancer. 2017;84:69–80.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Helvaci K, Eraslan E, Yildiz F, Tufan G, Demirci U, Oksuzoglu OB, et al. Comparison of clinicopathological and survival features of right and left colon cancers. J BUON. 2019;24(5):1845–51. Retrieved from:

  76. Baran B, Mert Ozupek N, Yerli Tetik N, Acar E, Bekcioglu O, Baskin Y. Difference between left-sided and right-sided colorectal Cancer: a focused review of literature. Gastroenterol Res. 2018;11(4):264–73.

    Article  CAS  Google Scholar 

  77. Lee I, Baek S-H, Kim H, Jo H-J, Oh N-G, Ko S. Survival analysis for colon subsite and rectal cancers: experience from a single surgeon. Korean J Clin Oncol. 2015;11(2):114–9.

    Article  Google Scholar 

  78. Lee JM, Han YD, Cho MS, Hur H, Min BS, Lee KY, et al. Impact of tumor sidedness on survival and recurrence patterns in colon cancer patients. Ann Surg Treat Res. 2019;96(6):296–304.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Qiu MZ, Pan WT, Lin JZ, Wang ZX, Pan ZZ, Wang FH, et al. Comparison of survival between right-sided and left-sided colon cancer in different situations. Cancer Med. 2018;7(4):1141–50.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Lim DR, Kuk JK, Kim T, Shin EJ. Comparison of oncological outcomes of right-sided colon cancer versus left-sided colon cancer after curative resection. Med (United States). 2017;96(42):e8241.

  81. Nawa T, Kato J, Kawamoto H, Okada H, Yamamoto H, Kohno H, et al. Differences between right- and left-sided colon cancer in patient characteristics, cancer morphology and histology. J Gastroenterol Hepatol. 2008;23(3):418–23.

    Article  PubMed  Google Scholar 

  82. Richman S, Adlard J. Left and right sided large bowel cancer have significant genetic differences in addition to well known clinical differences. BMJ Br Med J. 2002;324(7343):931–2.

    Article  Google Scholar 

  83. Benedix F, Kube R, Meyer F, Schmidt U, Gastinger I, Lippert H. Comparison of 17,641 patients with right- and left-sided colon cancer: differences in epidemiology, perioperative course, histology, and survival. Dis Colon Rectum. 2010;53(1):57–64.

    Article  PubMed  Google Scholar 

  84. Bustamante-Lopez LA, Nahas SC, Nahas CSR, Pinto RA, Marques CFS, Cecconello I. Is there a difference between right-versus left-sided colon cancers? Does side make any difference in long-term follow-up? Arq Bras Cir Dig. 2019;32(4):e1479.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Moore KJ, Sussman DA, Koru-Sengul T. Age-specific risk factors for advanced stage colorectal cancer, 1981-2013. Prev Chronic Dis. 2018;15:170274.

    Article  Google Scholar 

  86. Haug U, Kuntz KM, Knudsen AB, Hundt S, Brenner H. Sensitivity of immunochemical faecal occult blood testing for detecting left-vs right-sided colorectal neoplasia. Br J Cancer. 2011;104(11):1779–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Hanna DL, Lenz HJ. How we treat left-sided vs right-sided colon cancer. Clin Adv Hematol Oncol. 2020;18(5):253–7. Retrived from

Download references


We would like to acknowledge the Ministry of Health, Brunei Darussalam, for data access/extraction. The authors also would like to thank Dr. Kai Shing Koh (Ministry of Health, Brunei) for her valuable suggestions to the manuscript.


The author(s) received no financial support for the research.

Author information

Authors and Affiliations



LN and SKO designed the research; LN, HAR and NA analysed the data; NA and SHFL wrote the manuscript and LN, SKO and EL critically revised the manuscript for important intellectual content. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Shirley H. F. Lee.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was granted by Institute of Health Sciences Ethics Committee and Medical and Health Research Ethics Committee (UBD/PAPRSBIHSREC/2018/130). Formal approval was obtained from the Director of Policy and Planning, Ministry of Health and the Director General of Medical and Health Services, Ministry of Health, Brunei Darussalam before the study commenced.

Consent for publication

Not applicable. This study does not involve any patient contact. Participants’ anonymity is preserved as data were de-identified.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, S.H.F., Abdul Rahman, H., Abidin, N. et al. Survival of colorectal cancer patients in Brunei Darussalam: comparison between 2002–09 and 2010–17. BMC Cancer 21, 477 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Colorectal cancer
  • Survival rate
  • Survival time
  • Prognosis
  • Brunei Darussalam
  • Cancer registry