Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Disease characteristics and treatment patterns of Chinese patients with metastatic colorectal cancer: a retrospective study using medical records from China

BMC Cancer volume 20, Article number: 131 (2020) Cite this article

Abstract

Background

Colorectal cancer (CRC) is the third most prevalent cancer in China but few large-scale studies were conducted to understand CRC patients. The current study is aimed to gain a real-world perspectives of CRC patients in China.

Methods

Using electronic medical records of sampled patients between 2011 and 2016 from 12 hospitals in China, a retrospective cohort study was conducted to describe demographics and disease prognosis of CRC patients, and examine treatment sequences among metastatic CRC (mCRC) patients. Descriptive, comparative and survival analyses were conducted.

Results

Among mCRC patients (3878/8136, 48%), the fluorouracil, leucovorin, and oxaliplatin (FOLFOX) and other oxaliplatin-based regimens were the most widely-used first-line treatment (42%). Fluorouracil, leucovorin, irinotecan (FOLFIRI) and other irinotecan-based regimens dominated the second-line (40%). There was no a dominated regimen for the third-line. The proportion of patients receiving chemotherapy with targeted biologics increased from less than 20% for the first- and second- lines to 34% for the third-line (p < 0.001). The most common sequence from first- to second-line was from FOLFOX and other oxaliplatin-based regimens to FOLFIRI and other irinotecan-based regimens (286/1200, 24%).

Conclusions

Our findings reflected a lack of consensus on the choice of third-line therapy and limited available options in China. It is evident o continue promoting early CRC diagnosis and to increase the accessibility of treatment options for mCRC patients. As the only nationwide large-scale study among CRC and mCRC patients before more biologics became available in China, our results can also be used as the baseline to assess treatment pattern changes before and after more third-line treatment were approved and covered into the National Health Insurance Plan in China between 2017 and 2018.

Peer Review reports

Background

Colorectal cancer (CRC) is the third most common cancer in China, with 370,000 new cases in year 2014, comprising 9.73% of all cancers [1]. CRC is also one of the leading causes of cancer deaths in China. Risks of CRC increase with age, especially after age 35, and reach a peak among people aged 80–84 years old [2]. The age-standardized incidence rate by Chinese standard population (ASIRC) was estimated to be 14.20 per 100,000 in 2012, increasing to 17.45 per 100,000 in 2013 and to 17.76 per 100,000 in 2014 [1, 2]. Besides age, there has been evidence that a diet high in fats and low in fruits and vegetables increases the risk of developing CRC [3, 4]. Because of the rapidly aging population and in the increasing fat intake in China, CRC incidence is expected to continue increasing. Moreover, the National Central Cancer Registry (NCCR) showed that prognosis of CRC was much poorer in China compared with developed countries [5].

Despite the significant disease burden, there is limited information on CRC patient characteristics and disease patterns in China. The NCCR synthesizes data collected from local registries in China and reports basic statistics such as incidence and mortality by key risk groups at the national level [6]. Population-based studies were usually conducted in particular geographic regions [7,8,9,10], among a specific group of patients [8], or out-of-date [11]. For CRC patients with metastatic colorectal cancer (mCRC), treatments can be complex. As multiple chemotherapeutic and targeted biologic agents emerged, treatment patterns and sequences for mCRC patients have significantly evolved over the past decade [12]. Several studies have reported the complex and changing treatment pattern among mCRC patients in the United States [13,14,15,16], Canada [17], and some European countries [18, 19]. However, there is a lack of key real-world evidence on the clinical characteristics and treatment patterns of CRC/mCRC patients in China.

Thus, this study was designed to describe baseline characteristics of CRC and mCRC patients, to investigate prognosis in CRC patients, as well as to understand treatment patterns and sequences in mCRC patients using a multi-center oncology database [20]. Findings from this study can be used as evidence to inform clinical management of CRC and mCRC patients.

Methods

Data source

This study analyzed data drawn from a multi-center oncology database, which gathered information from electronic medical records (EMRs) of multiple tertiary hospitals in China. With a large volume of patient-level data of patient sample and a wide geographic coverage, this database provides a platform for conducting a retrospective database study among CRC and mCRC patients. A total of 12 tertiary hospitals from eight provinces were selected across China. Data between January 1, 2011 and September 30, 2016 were extracted, including information on patient baseline characteristics and detailed diagnosis and treatment-related information during each inpatient visit.

Study population

Patients with primary diagnosis dates after January 1, 2011 and aged 18 years old and above at primary diagnosis were included. Primary diagnosis dates (baseline) were defined as the first clinical or pathological diagnosis dates recorded in the selected hospital’s EMRs, whichever occurred earlier. If patients were previously diagnosed with CRC outside the selected hospitals, the initial diagnosis dates, if available, were used as the primary diagnosis dates. As a previous phase III clinical trial suggested that the maximum period of the 3rd line treatment usage was nine months [21], in this study, patients who started third-line chemotherapy after January 1, 2016 were excluded to allow a minimum nine-month observation period for the entire third-line chemotherapy to be documented.

Patients with mCRC, as a subgroup of CRC patients, included those who were classified as TNM stage IV [22] at primary diagnosis, and those whose tumor metastasized before the database lock (September 30, 2016).

Study variables

Patient demographic and clinical characteristics at primary diagnosis were analyzed for the CRC and the mCRC subgroup. As the first appearance of metastases was not recorded in EMRs, metastases were defined by the adoption of palliative chemotherapy. Recurrence rates were assessed at 1-year, 2-year and 3-year post-index dates and compared by TNM stage and primary tumor site. Disease-free survival was defined as the time between the primary diagnosis date and the first documentation of recurrent of local or regional tumor, or deaths or the last record date in the EMR database, whichever occurred earlier. Treatment patterns of first-, second- and third-line palliative chemotherapy were also analyzed, with regimens and cycles reported. Chemotherapeutic lines were determined by physicians and recorded in EMRs.

Statistics

For continuous variables, mean, standard deviation (SD), median, interquartile range (IQR), minimum (min) and maximum (max) values were presented as appropriate; for categorical variables, number of missing values, frequency distribution and percentage were presented. Missing data were not included in percentage calculations. Chi-square tests were used to compare categorical variables and Kruskal-Wallis tests for continuous variables. Recurrence rates were compared by TNM stage and primary tumor site using Fisher’s exact tests instead of Chi-square tests due to a smaller sample size. Cumulative probabilities of disease-free survival by TNM stage were estimated using the Kaplan-Meier method, and comparisons were performed with the log-rank test. All statistical analyses were performed using STATA version 14.0 (Stata Corporation, Texas, USA). Two-sided tests with a significance level of 0.05 were applied.

Results

Patient flow

Data of 8246 CRC patients identified from the selected hospitals during the study period were extracted and screened. Among them, 39 patients had missing values or were under 18 years old at primary diagnosis, and 71 patients started third-line palliative chemotherapy after January 1, 2016. After excluding these 110 patients, 8136 CRC patients were included (Fig. 1). Over one-third (2963/8136, 36%) of these patients were at TNM stage IV at primary diagnosis, and an additional 915 (11%) patients metastasized during the observation period. Thus, 3878 (47% of 8246) mCRC patients were identified.

Fig. 1
figure 1

Patient flow

Full size image

Baseline characteristics for CRC patients

The mean age of CRC patients was 59 (SD 13) years old and 60% of them were males. Most of the patients (87%) presented in internal medicine departments. The size of primary tumor was only available among 36% (2926/8136) patients with a mean of 4.48 cm (SD 2.05). The KRAS mutation status testing rate was only 25%. The majority of CRC patients had left-sided primary tumor sites (71%) and were physically well (98%) at baseline with an Eastern Cooperative Oncology Group Performance Status (ECOG PS) scoring of 0 or 1 (Table 1). Of the 8136 CRC patients, 6764 (83%) had TNM classification records at primary diagnosis. Among them, 7.2, 19, 30 and 44% were at stages I, II, III and IV, respectively. Liver was the most common metastatic site (52%), followed by lung (27%) (Fig. 2).

Table 1 Baseline characteristics of CRC and mCRC patients
Full size table
Fig. 2
figure 2

TNM stage and metastatic status at diagnosis

Full size image

Disease recurrent risks for CRC patients with radical surgeries

For patients who underwent radical surgeries, the cumulative recurrence rate at year 1, 2, and 3 was 8.9, 16 and 30%, respectively. By different baseline TNM stage, an upward trend could be seen from baseline stage I to stage III for all 1-, 2- and 3-year recurrence rates (p < 0.001, Additional file 1: Table S1). Recurrence rates did not differ significantly between left- and right-sided primary tumor sites (Additional file 1: Table S2). The log-rank test showed that differences across TNM stage-specific, disease-free survival curves were of statistical significance (p < 0.001, Fig. 3).

Fig. 3
figure 3

Disease-free survival curves from radical surgeries by TNM stage at diagnosis

Full size image

Baseline characteristics for mCRC patients

The mean age of mCRC patients at the primary diagnosis date were 57 years old (SD 12). There were more males in mCRC patients (62%) and most (92%) presented in internal medicine departments. The mean size of the primary tumor was 4.52 cm (SD 2.09). The KRAS mutation status testing rate was 35%. The majority of CRC patients had left-sided primary tumor sites (69%) and were physically well (98%) at baseline (Table 1).

Treatment patterns for mCRC patients with palliative chemotherapy

Among the 3878 mCRC patients, 79% (3063) had records on first-line treatment of palliative chemotherapy, 1281 had records on second-line treatment, and 404 had records on third-line treatment. Fluorouracil, leucovorin, and oxaliplatin (FOLFOX) and other oxaliplatin-based regimens were the most frequently administered (1275/3063, 42%) in first-line, followed by fluorouracil, leucovorin, and irinotecan (FOLFIRI) and other irinotecan-based regimens (25%) (Fig. 4a). Usage of FOLFIRI and other irinotecan-based regimens increased remarkably to 40% in second-line, which dominated treatment of this line (Fig. 4b). Correspondingly, FOLFOX and other oxaliplatin-based regimens decreased to 21% in second-line. Less than one-sixth of patients received targeted biologics in combination with chemotherapy (16 and 13% in first- and second-line, respectively). Among these patients, the majority received bevacizumab (312/418, 75% and 124/162, 77% in first- and second-line, respectively). The proportion of patients receiving combination therapy with targeted biologics increased dramatically to 34% in third-line treatment (137/404), and bevacizumab was still the dominant choice (79/137, 58%) (Fig. 4c).

Fig. 4
figure 4

Treatment patterns of palliative chemotherapy for mCRC patients

Full size image

Treatment duration decreased in later lines of treatment. Median cycles were 5 in first-line, 3 in second-line and reduced to 2 in third-line treatment. In addition, patients receiving combination therapy with targeted biologics had longer median cycles than chemotherapy alone in all three lines of treatment (6 vs. 4, 6 vs. 3 and 3 vs. 2 in the first-, second- and third-line, respectively) (Fig. 4d).

Treatment sequences for mCRC patients with palliative chemotherapy

In total, 1200 patients had records on both first- and second-line of treatments, of whom 404 patients had records on third-line of treatments.

Four hundred and ninety-five patients who received FOLFOX and other oxaliplatin-based regimens in first-line treatment changed to second-line, accounting for 39% (495/1275) of all patients starting treatment with this type of regimen. Among them, the majority (286/495, 58%) changed to FOLFIRI and other irinotecan-based regimens, which was also the most common sequence between first- and second-line treatments (286/1200, 24%). FOLFOX and other oxaliplatin-based regimens were somehow re-introduced to a small proportion of these patients (65/495, 13%) in second-line treatment.

The second most common sequence between first- and second-line treatments was moving from FOLFIRI and other irinotecan-based regimens to FOLFOX and other oxaliplatin-based regimens (128 out of 1200, 11%).

A total of 994 patients receiving chemotherapy alone in first-line treatment proceeded to second-line, accounting for 39% of all those received chemotherapy alone. One in ten of them (101/994, 10%) received targeted biologics in combination with chemotherapy as their second-line treatment.

Among the 275 patients receiving the dominant treatment choice in second-line, i.e., FOLFIRI and other irinotecan-based regimens, 151 (55%) proceeded to third-line. The most common sequence from the second-line was to FOLFOX and other oxaliplatin-based regimens (36/151, 24%), followed by to other chemotherapy alone (34/151, 23%). A total of 354 patients receiving chemotherapy alone in second-line proceeded to third-line, accounting for 32% of all those received chemotherapy alone. Among these 354 patients, over a quarter (105/354, 30%) added targeted biologics on top of chemotherapy, which also constituted a large proportion of total patients receiving combination therapy in this line of treatment (105/137, 77%). Figure 5 demonstrates treatment sequences of palliative chemotherapy from first- to third-line treatments.

Fig. 5
figure 5

Treatment sequences of palliative chemotherapy for mCRC patients

Full size image

Discussion

To our knowledge, this is the first nationwide large-scale study on CRC and mCRC patient characteristics and treatment sequences in China. We described patient demographics and clinical characteristics, which provided a comprehensive and updated picture of Chinese CRC and mCRC patients in China. Analysis results on prognosis after radical surgeries and clinical practice in palliative chemotherapy can be used as real-world evidence to inform the management of CRC and mCRC. Importantly, our results demonstrated no dominant choice in the third-line therapy. This reflects a lack of consensus on the choice of third-line therapy in China and an urgent need to develop national guidelines on clinical practice.

In this study, the mean age of CRC and mCRC patients diagnosed during 2011 to 2016 was 59 and 57 years old, respectively. For both CRC and mCRC patients, there were more male CRC patients than females. These findings are not surprising compared to previous published reviews and regional studies in China [7,8,9]. It has been reported that estrogen could prevent CRC [23], which may explain the relatively small proportion of female patients.

In this study, approximately 30% of patients presented with TNM stage III and about 40% presented with TNM stage IV at diagnosis. The percentage of patients diagnosed with TNM stage III is generally in line with previous findings which reported a range of 30–40%; while, the percentage of patients identified with stage IV is larger than that reported in previous studies which is ranged 20–33% [24, 25]. The inconsistence on the percentage of patients diagnosed with stage IV across studies may be due to the differences in study samples, e.g. the current study included higher proportion of patients aged 60 years and over than other studies. It is also possible that the early detection of colorectal cancer in China is not as prevalent as in other countries. A decrease in the proportion of patients with advanced stage CRC may be expected if an early detection program can be implemented [24].

Most patients in this study did not have their KRAS mutation status tested. Although KRAS mutation analysis may provide additional useful information on risk stratification in colorectal cancer, the predictive value of KRAS mutation for non-response to chemotherapy is still questioning [23]. Previous studies found that the expression of KRAS is associated with recurrence, survival and benefit of adjuvant chemotherapy [26]. Future studies on the predictive value of KRAs in Chinese CRC patients are required.

As expected, the proportion of right-sided CRC (22%) found in this study was higher than that reported in the 1990s (15%) and 1980s (11%) [11]. A similar rightward shift in the primary tumor site of CRC has also been reported in North America, the United Kingdom, Japan and Northern Ireland [27,28,29,30,31], and it is associated with aging [32]. Our study has also found that among patients after radical surgeries, the primary tumor site was not associated with disease-free survival. This is supported by the finding from a most recent study which included 4426 Chinese patients with stage I, II and III CRC [33]. Patient at earlier stages had a significant improvement in survival. This finding underlines the importance of early diagnosis and increased awareness of CRC in China [34, 35].

Our study found that FOLFOX and other oxaliplatin-based regimens dominated first-line while FOLFIRI and other irinotecan-based regimens dominated second-line. This is consistent with findings from other studies. For example, a study with 1655 adult mCRC patients in the US reported that about 40% of patients received FOLFOX in first-line therapy, and about 26% of patients received FOLFIRI in second-line therapy [15]. Another US based study reported similar findings [36]. As to third-line therapy, there was no dominated treatments were identified in China. Importantly, targeted biologics were not frequently used in China until third-line treatment, treatment cycles in third-line was short and some patients moved back to their previously used therapy. In contrast, in the US, the most common third line treatment regimens are EGFR-containing therapies, such as combination of cetuximab and irinotecan, panitumumab or cetuximab monotherapy [15]. In other countries, such as Canada, although oxaliplatin and irinotecan were also the most common chemotherapy backbones for first- and second-line, chemotherapy was usually not used alone [17, 18]. This may imply poor treatment outcomes of targeted therapy in late lines, and a lack of consensus on both the timing and options for third-line treatment during the study period (2011–2016). Moreover, the current study found that a small proportion of patients treated with FOLFOX in the first-line setting either shifted to capecitabine/S1 or continued to use FOLFOX in the second-line setting, which was controversial to the guidelines for standard of care [37]. This gap between clinical practice and guidelines may be due to patients’ preference, economic status, physicians’ decisions [37,38,39]. Implementing education program and providing training courses to physicians as well as raising the public awareness of CRC might help with the treatment decision-making.

There have been some major changes in mCRC treatment, especially in the third line since 2017. For example, Bevacizumab (Avastin®) has been included into the national reimbursement list and Regorafenib (Stivarga®) has been approved by CFDA. On September 5th, 2018, Fruquintinib (Elunate®) was approved in China’s market. These new treatment options on market have increased regimen choice and likely expenditures. Despite of that, the optimal use of these agents along with chemotherapy needs further investigation as a phase II multicenter trial reported little objective responses to the combination of bevacizumab and chemotherapies among advanced CRC patients [40]. Further studies on the cost and effectiveness of treatment sequences using real-world data are warranted to provide important and updated evidence for improving patients’ survival.

This study had several limitations. Although we had a wide geographic coverage, all selected hospitals were tertiary hospitals located in large cities. In the three-tier healthcare system of China, patients with severe diseases, such as cancer, would mostly be referred to tertiary hospitals in large cities, but nevertheless those who cannot afford such treatments may present elsewhere. Therefore, sampling bias may still present a barrier to understanding the complete picture of CRC and mCRC patients in China. In addition, if patients visited hospitals outside the selected ones during the observation period, those records would not have been captured and therefore could not be analyzed in this study. Moreover, we utilized a multi-center database specialized in oncology, however the study population was a sample of the whole CRC patient population seen for care in the 12 hospitals. There is no evidence that the sampling process and data collection may introduce significant selection bias. Some key time points, such as the appearance of metastasis, were not recorded in EMRs and were estimated using best proxies. Finally, some key information might not be available or well documented in EMR databases in China. For examples, death information was poorly documented and disease progression information was not directly captured. It is not possible to link an EMR database to the National Death Registry to obtain Deaths. Information on confounders, for examples, diet, smoking, alcohol, was not available in the database. Thus, in the current study, we were not able to provide a more comprehensive view of effectiveness of regimens on survival. It is evident that further real-world evidence, especially from Registries or prospective studies, is required.

Conclusions

In this multi-center, retrospective study of patients with CRC and mCRC, the current status of CRC and mCRC clinical management were investigated. Among mCRC patients, FOLFOX and FOLFIRI were the dominated first-line and second-line therapies, respectively. There was an increasing trend of using targeted biologics in third-line therapy. With new medications approved or included in national reimbursement scheme in China in recent years, the current findings will be useful in exploration of changing trends of therapies for CRC patients in China.

Availability of data and materials

The data underlying the study is from EMR databases in multiple tertiary hospitals in China. It is not publicly available, and restrictions apply to the availability of the data.

Abbreviations

ASIRC:

Age-standardized incidence rate by Chinese standard population

CRC:

Colorectal cancer

ECOG PS:

Eastern Cooperative Oncology Group Performance Status

EMRs:

Electronic medical records

FOLFIRI:

Fluorouracil, leucovorin and irinotecan

FOLFOX:

Fluorouracil, leucovorin and oxaliplatin

IQR:

Interquartile range

Max:

Maximum

mCRC:

Metastatic colorectal cancer

Min:

Minimum

MUT:

Mutation

NCCR:

National central cancer registry

NOS:

Not otherwise specified

SD:

Standard deviation

TNM:

Tumor, models and metastases

WT:

Wild-type

References

  1. Chen W, Zheng R, Zhang S, Zhao P, Zeng H, Zou X. Report of cancer incidence and mortality in China, 2010. Ann Transl Med. 2014 Jul;2(7):61.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Du LB, Li HZ, Wang YQ, Zhu C, Zheng RS, Zhang SW, Chen WQ, He J. Report of colorectal cancer incidence and mortality in China, 2013. Zhonghua Zhong Liu Za Zhi. 2017 Sep;39(9):701–6.

    CAS  PubMed  Google Scholar 

  3. Haggar FA, Boushey RP. Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors. Clin Colon Rectal Surg. 2009 Nov;22(04):191–7.

    Article  Google Scholar 

  4. Correa Lima MP, Gomes-da-Silva MH. Colorectal cancer: lifestyle and dietary factors. Nutr Hosp. 2005;20(4):235–41.

    CAS  PubMed  Google Scholar 

  5. Zeng H, Zheng R, Guo Y, Zhang S, Zou X, Wang N, Zhang L, Tang J, Chen J, Wei K, Huang S. Cancer survival in C hina, 2003–2005: a population-based study. Int J Cancer. 2015 Apr 15;136(8):1921–30.

    Article  CAS  Google Scholar 

  6. Zheng R, Zeng H, Zhang S, Chen W. Estimates of cancer incidence and mortality in China, 2013. Chin J Cancer. 2017 Dec;36(1):66.

    Article  Google Scholar 

  7. Yusup A, Wang HJ, Rahmutula A, Sayim P, Zhao ZL, Zhang GQ. Clinical features and prognosis in colorectal cancer patients with different ethnicities in Northwest China. World J Gastroenterol: WJG. 2013 Nov 7;19(41):7183.

    Article  Google Scholar 

  8. Zhang S, Cui Y, Weng Z, Gong X, Chen M, Zhong B. Changes on the disease pattern of primary colorectal cancers in southern China: a retrospective study of 20 years. Int J Color Dis. 2009 Aug 1;24(8):943–9.

    Article  Google Scholar 

  9. Fu JF, Huang YQ, Yang J, Yi CH, Chen HL, Zheng S. Clinical characteristics and prognosis of young patients with colorectal cancer in eastern China. World J Gastroenterol. 2013;19(44):8078.

    Article  Google Scholar 

  10. Xu AG, Yu ZJ, Jiang B, Wang XY, Zhong XH, Liu JH, Lou QY, Gan AH. Colorectal cancer in Guangdong Province of China: a demographic and anatomic survey. World J Gastroenterol. 2010;16(8):960.

    Article  Google Scholar 

  11. Li M, Gu J. Changing patterns of colorectal cancer in China over a period of 20 years. World J Gastroenterol. 2005;11(30):4685.

    Article  Google Scholar 

  12. Martini G, Troiani T, Cardone C, Vitiello P, Sforza V, Ciardiello D, Napolitano S, Della Corte CM, Morgillo F, Raucci A, Cuomo A. Present and future of metastatic colorectal cancer treatment: a review of new candidate targets. World J Gastroenterol. 2017;23(26):4675.

    Article  CAS  Google Scholar 

  13. Abrams TA, Meyer G, Schrag D, Meyerhardt JA, Moloney J, Fuchs CS. Chemotherapy usage patterns in a US-wide cohort of patients with metastatic colorectal cancer. J Natl Cancer Inst. 2014 Feb 1;106(2):djt371.

    Article  Google Scholar 

  14. Parikh RC, Du XL, Morgan RO, Lairson DR. Patterns of treatment sequences in chemotherapy and targeted biologics for metastatic colorectal cancer: findings from a large community-based cohort of elderly patients. Drugs-Real World Outcomes. 2016 Mar 1;3(1):69–82.

    Article  Google Scholar 

  15. Hess GP, Wang PF, Quach D, Barber B, Zhao Z. Systemic therapy for metastatic colorectal cancer: patterns of chemotherapy and biologic therapy use in US medical oncology practice. J Oncol Pract. 2010 Nov;6(6):301–7.

    Article  Google Scholar 

  16. Zafar SY, Marcello JE, Wheeler JL, Rowe KL, Morse MA, Herndon JE, Abernethy AP. Longitudinal patterns of chemotherapy use in metastatic colorectal cancer. J Oncol Pract. 2009 Aug 20;5(5):228–33.

    Article  Google Scholar 

  17. McLean J, Rho YS, Kuruba G, Mamo A, Gilabert M, Kavan T, Panasci L, Melnychuk D, Batist G, Kavan P. Clinical practice patterns in chemotherapeutic treatment regimens for metastatic colorectal cancer. Clin Colorectal Cancer. 2016 Jun 1;15(2):135–40.

    Article  Google Scholar 

  18. Zhao Z, Pelletier E, Barber B, Bhosle M, Wang S, Gao S, Klingman D. Patterns of treatment with chemotherapy and monoclonal antibodies for metastatic colorectal cancer in Western Europe. Curr Med Res Opin. 2012 Feb 1;28(2):221–9.

    Article  CAS  Google Scholar 

  19. Heiman F, Ripellino C, Visentin E. Real world data in oncology: third-and fourth-line treatments administered in metastatic Colon-rectal Cancer (MCRC). Value Health. 2014;17(7):A644.

    Article  CAS  Google Scholar 

  20. Medbanks. Available from: https://www.medbanks.cn. Accessed 17 June 2019.

  21. Li J, Qin S, Xu RH, Shen L, Xu J, Bai Y, Yang L, Deng Y, Chen ZD, Zhong H, Pan H. Effect of fruquintinib vs placebo on overall survival in patients with previously treated metastatic colorectal cancer: the FRESCO randomized clinical trial. JAMA. 2018;319(24):2486–96.

    Article  CAS  Google Scholar 

  22. Ueno H, Mochizuki H, Akagi Y, Kusumi T, Yamada K, Ikegami M, Kawachi H, Kameoka S, Ohkura Y, Masaki T, Kushima R. Optimal colorectal cancer staging criteria in TNM classification. J Clin Oncol. 2012;30(13):1519–26.

    Article  Google Scholar 

  23. Jänne PA, Mayer RJ. Chemoprevention of colorectal cancer. N Engl J Med. 2000;342(26):1960–8.

    Article  Google Scholar 

  24. Carrato A. Adjuvant treatment of colorectal cancer. Gastrointest Cancer Res. 2008;2(4 Suppl 2):S42.

    PubMed  PubMed Central  Google Scholar 

  25. Kumar S, Burney IA, Zahid KF, Souza PC, Belushi MA, Meki TDMWAFM, Mansour S. Colorectal cancer patient characteristics, treatment and survival in Oman—a single center study. Asian Pac J Cancer Prev. 2015;16(12):4853–8.

    Article  Google Scholar 

  26. Bozkurt O, Inanc M, Turkmen E, Karaca H, Berk V, Duran AO, Ozaslan E, Ucar M, Hacibekiroglu I, Eker B, Baspinar O. Clinicopathological characteristics and prognosis of patients according to recurrence time after curative resection for colorectal cancer. Asian Pac J Cancer Prev. 2014;15(21):9277–81.

    Article  Google Scholar 

  27. Hutchins G, Southward K, Handley K, Magill L, Beaumont C, Stahlschmidt J, Richman S, Chambers P, Seymour M, Kerr D, Gray R. Value of mismatch repair, KRAS, and BRAF mutations in predicting recurrence and benefits from chemotherapy in colorectal cancer. J Clin Oncol. 2011;29(10):1261–70.

    Article  Google Scholar 

  28. Beart RW, Melton LJ, Maruta M, Dockerty MB, Frydenberg HB, O'Fallon WM. Trends in right and left-sided colon cancer. Dis Colon Rectum. 1983;26(6):393–8.

    Article  CAS  Google Scholar 

  29. Kee F, Wilson RH, Gilliland R, Sloan JM, Rowlands BJ, Moorehead RJ. Changing site distribution of colorectal cancer. BMJ. 1992;305(6846):158.

    Article  CAS  Google Scholar 

  30. Jass JR. Subsite distribution and incidence of colorectal cancer in New Zealand, 1974–1983. Dis Colon Rectum. 1991;34(1):56–9.

    Article  CAS  Google Scholar 

  31. Takada H, Ohsawa T, Iwamoto S, Yoshida R, Nakano M, Imada S, Yoshioka K, Okuno M, Masuya Y, Hasegawa K, Kamano N. Changing site distribution of colorectal cancer in Japan. Dis Colon Rectum. 2002;45(9):1249–54.

    Article  Google Scholar 

  32. Kee F, Collins BJ, Patterson CC. Incidence and site distribution of colorectal cancer in Northern Ireland. Ulster Med J. 1990;59(2):155.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Liu F, Li C, Jia H, Yang L, Wu Y, Zhao J, Cai S, Zhu J, Xu Y. Is there a prognostic value of tumor location among Chinese patients with colorectal cancer? Oncotarget. 2017;8(24):38682.

    PubMed  PubMed Central  Google Scholar 

  34. Iida Y, Kawai K, Tsuno NH, Ishihara S, Yamaguchi H, Sunami E, Kitayama J, Watanabe T. Proximal shift of colorectal cancer along with aging. Clin Colorectal Cancer. 2014;13(4):213–8.

    Article  Google Scholar 

  35. Leung D, Chow K, Lo S, So W, Chan C. Contributing factors to colorectal cancer screening among Chinese people: a review of quantitative studies. Int J Environ Res Public Health. 2016;13(5):506.

    Article  Google Scholar 

  36. Chastek B, Kulakodlu M, Valluri S, Seal BS. Treatment patterns among metastatic colorectal cancer patients by line of therapy and original stage of diagnosis.2012.

  37. Zhang Y, Chen Z, Li J. The current status of treatment for colorectal cancer in China: A systematic review. Medicine. 2017 Oct;96(40):e8242.

    Article  Google Scholar 

  38. Weeks JC, Cook EF, O'Day SJ, Peterson LM, Wenger N, Reding D, Harrell FE, Kussin P, Dawson NV, Connors AF Jr, Lynn J. Relationship between cancer patients' predictions of prognosis and their treatment preferences. JAMA. 1998;279(21):1709–14.

    Article  CAS  Google Scholar 

  39. Kutner JS, Vu KO, Prindiville SA, Byers TE. Patient age and cancer treatment decisions: patient and physician views. Cancer Pract. 2000;8(3):114–9.

    Article  CAS  Google Scholar 

  40. Chen HX, Mooney M, Boron M, Vena D, Mosby K, Grochow L, Jaffe C, Rubinstein L, Zwiebel J, Kaplan RS. Phase II multicenter trial of bevacizumab plus fluorouracil and leucovorin in patients with advanced refractory colorectal cancer: an NCI treatment referral center trial TRC-0301. J Clin Oncol. 2006;24(21):3354–60.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Medbanks for data provision for the current study.

Funding

This study was funded by Lilly Suzhou Pharmaceutical Company Limited. Four authors (Hongyan Li, Ning Wang, Yun Chen and Cike Peng) from Lilly Company participated in data analysis and in writing the manuscript.

Author information

Authors and Affiliations

  1. Sun Yat-sen University Cancer Center, No. 651 Dongfeng East Road, Yuexiu District, Guangzhou, 510060, China

    Ruihua Xu

  2. The First People’s Hospital of Foshan, No. 81 North Lingnan Road, Chancheng District, Foshan, 528000, China

    Wei Wang

  3. Xinqiao Hospital, Third Military Medical University, No. 83 Xinqiaozheng Street, Shapingbei District, Chongqing, 400037, China

    Bo Zhu

  4. Fujian Medical University Union Hospital, No. 29 Xinquan Road, Gulou District, Fuzhou, 350001, China

    Xiaoyan Lin

  5. Guangdong General Hospital, No.106 Zhongshan Road, Yuexiu District, Guangzhou, 510245, China

    Dong Ma

  6. Jiangsu Province Hospital, No.300 Guangzhou Road, Gulou District, Nanjing, 210029, China

    Lingjun Zhu

  7. Xijing Hospital, Fourth Military Medical University, No.15 West Road, Xincheng District, 710032, Xi’an, Changle, China

    Qingchuan Zhao & Yongzhan Nie

  8. Sichuan Cancer Hospital and Institute, No.55 Sectional 4, South Renmin Road, Wuhou District, Chengdu, 610015, China

    Xiaohong Cai

  9. Shanghai General Hospital, No.100 Haining Road, Hongkou District, Shanghai, 200080, China

    Qi Li

  10. The First Hospital of Zhejiang Province, No.79 Qingchun Road, Shangcheng District, Hangzhou, 310002, China

    Weijia Fang

  11. Eli Lilly and Company China Affiliate, No. 288 Shi Men Yi Lu, Jing’an District, Shanghai, 200041, China

    Hongyan Li, Ning Wang, Yun Chen & Cike Peng

  12. IQVIA, No. 968 West Beijing Road, Jing’an District, Shanghai, 200063, China

    Honghao Fang

  13. Beijing Cancer Hospital, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China

    Lin Shen

Authors
  1. Ruihua Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bo Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaoyan Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dong Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lingjun Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Qingchuan Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yongzhan Nie
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xiaohong Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Qi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Weijia Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Hongyan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Ning Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Yun Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Cike Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Honghao Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Lin Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

RX conceived of the presented idea, participated in data collection, article writing and editing. WW, BZ, XL, DM, LZ, QZ, YN, XC, QL and WF carried out data collection, writing-review and editing of the article; HL, NW, YC, CP, HF and LS conducted analysis and reviewed the article. All authors discussed the results and approved the final manuscript.

Author’s information

Not applicable

Corresponding author

Correspondence to Cike Peng.

Ethics declarations

Ethics approval and consent to participate

De-identification of personal information was performed at the data entry stage in the multi-center oncology database. Ethics approvals were obtained for this study from Beijing Cancer Hospital Ethics Committee, Sun Yat-sen University Cancer Center Ethics Committee and Xijing Hospital Ethics Committee. For hospitals that did not require ethics approval as a mandatory, a form of ‘Confidential and non-use Agreement’ was assigned. The informed consent was waived by the IRBs from all hospitals.

The full names of hospitals that did not require ethics approval as a mandatory were:

The First People’s Hospital of Foshan.

Xinqiao Hospital, Third Military Medical University.

Fujian Medical University Union Hospital.

Guangdong General Hospital.

Jiangsu Province Hospital.

Sichuan Cancer Hospital and Institute.

Shanghai General Hospital.

The First Hospital of Zhejiang Province.

Consent for publication

Not applicable

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.

Supplementary information

Additional file 1: Table S1.

Recurrent rates from radical surgeries by TNM stage at diagnosis. Table S2. Recurrent rates from radical surgeries by primary tumor site

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, R., Wang, W., Zhu, B. et al. Disease characteristics and treatment patterns of Chinese patients with metastatic colorectal cancer: a retrospective study using medical records from China. BMC Cancer 20, 131 (2020). https://doi.org/10.1186/s12885-020-6557-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-020-6557-5

Keywords

BMC Cancer

ISSN: 1471-2407

Contact us