Skip to main content

Low-grade inflammation in survivors of childhood cancer and testicular cancer and its association with hypogonadism and metabolic risk factors

Abstract

Background

In childhood (CCS) and testicular cancer (TCS) survivors, low-grade inflammation may represent a link between testosterone deficiency (hypogonadism) and risk of metabolic syndrome. We aimed to study levels of inflammatory markers in CCS and TCS and the association with hypogonadism and future cardio-metabolic risk factors.

Methods

Serum levels of inflammatory markers and testosterone were analyzed in CCS (n = 90), and TCS (n = 64, median time from diagnosis: 20 and 2.0 years, respectively), and in controls (n = 44). Differences in levels between patients and controls were calculated using univariate analysis of variance. T-test and logistic regression were applied to compare levels of cardio-metabolic risk factors and odds ratio (OR) of hypogonadism and metabolic syndrome in low and high inflammatory marker groups after 4–12 years of follow up. Adjustment for age, smoking, and active cancer was made.

Results

TCS and CCS, as compared to controls, had 1.44 (95%CI 1.06–1.96) and 1.25 (95 CI 1.02–1.53) times higher levels of IL-8, respectively. High IL-6 levels were associated with hypogonadism at baseline (OR 2.83, 95%CI 1.25–6.43) and the association was stronger for high IL-6 combined with low IL-10 levels (OR 3.10, 95%CI 1.37–7.01). High IL-6 levels were also associated with higher BMI, waist circumference, insulin, and HbA1c at follow up. High TNF-α was associated with higher diastolic blood pressure. No individual inflammatory marker was significantly associated with risk of metabolic syndrome at follow up. High IL-6 combined with low IL-10 levels were associated with risk of metabolic syndrome (OR 3.83, 95%CI 1.07–13.75), however not statistically significantly after adjustment.

Conclusion

TCS and CCS present with low-grade inflammation. High IL-6 levels were associated with hypogonadism and cardio-metabolic risk factors. Low IL-10 levels might reinforce the IL-6 mediated risk of developing metabolic syndrome.

Peer Review reports

Background

The survival rates of childhood (CC) and testicular cancer (TC) have increased significantly during the last decennia, making long-term effects of these cancers and their treatment important issues to address. CC and TC survivors (CCS and TCS) have an increased risk of premature onset of chronic systemic disease, in particular metabolic syndrome and cardiovascular disease [1,2,3]. Also, hypogonadism is more frequently occurring in CCS and TCS than in controls [4]. Male hypogonadism is a syndrome defined as low testosterone combined with symptoms, such as fatigue, sarcopenia, weakness, depressed mood, and sexual dysfunction. Patients with hypogonadism are classified into primary hypogonadism (Leydig cell dysfunction, characterized by low testosterone and increased luteinizing hormone (LH)) and secondary hypogonadism (hypothalamic-pituitary failure, characterized by low testosterone and low or normal LH). A third category - compensated hypogonadism - has been implemented, encompassing patients with normal testosterone but elevated LH. It is considered as a possible sub-clinical state, that gradually might develop into a primary hypogonadism [5]. Hypogonadal TCS have an increased risk of metabolic syndrome [6]. In healthy men, secondary hypogonadism is associated with increased body mass index (BMI) [5, 7] and compensated hypogonadism is associated with increasing fasting glucose and diabetes [8] and has been identified as marker of increased risk of premature mortality [9]. The underlying mechanisms are however still uncertain.

Obesity and metabolic syndrome are associated with a chronic state of low-grade inflammation [10]. Furthermore, chronic inflammation, obesity, and insulin resistance are associated with low testosterone levels in men [11]. The associations between inflammation, metabolic risk factors, and hypogonadism are complex, and the causality is uncertain. There is evidence supporting bi-directional associations why impaired metabolic function and inflammation might both be the cause of and a result of hypogonadism [12,13,14,15,16].

Cancer and inflammation are tightly associated, and tumor-promoting inflammation has been recognized as an “enabling characteristic” of cancer development [17]. Increased levels of inflammatory markers have also been found in survivors of malignant diseases. Survivors of childhood acute leukemia had increased levels of leptin and interleukin-6 (IL-6) and had higher percent fat mass despite similar BMI as controls [18]. Sulicka et al reported increased levels of pentraxin-3, soluble vascular cell adhesion molecule-1, osteoprotegerin, and tumor necrosis factor (TNF)-related apoptosis-inducing ligand, whereas CRP, IL-6, IL-18, TNF-α, monocyte chemotactic protein-1, and soluble intercellular adhesion molecule-1 were unchanged in acute lymphocytic leukemia survivors [19]. Bandak et al showed that TCS with uncompensated Leydig cell dysfunction had higher CRP than eugonadal TCS [20].

To better understand the biological mechanism linking low-grade inflammation to testosterone deficiency as well as risk of cardio-metabolic disease, we studied the association between serum levels of inflammatory markers, hypogonadism, and cardio-metabolic risk factors. Our aims were to investigate if young male cancer survivors and controls differed in levels of low-grade inflammation, whether the level of inflammation was related to hypogonadism and if it was associated with cardio-metabolic risk factors.

Methods

Patients and controls

Patients from two patient cohorts, initially participating in studies on reproductive function and later re-invited for studies on testosterone levels in relation to cardio-metabolic risk factors and bone health, were retrospectively included.

The CCS cohort was established in 2004 by inviting all men from the Region of Southern Sweden who were diagnosed with malignant disease or brain tumor before the age of 18 and reported to the Swedish Tumor Registry during 1970–2002. Further inclusion criteria were being 18–45 years at invitation and not receiving any oncological treatment for the last 4 years. Out of 397 eligible men, 151 were included in the study of reproductive function (Fig. 1A) [21]. In 2010 all CCS from the Region of Southern Sweden 1970–2002 were re-invited and 125 participants were included, with a partial overlap with the first study cohort (Fig. 1A) [4].

Fig. 1
figure 1

Flow charts of the inclusion of patients from the childhood cancer survivor cohort (A) and the testicular cancer patient cohort (B) in the present study

In the second cohort, 165 of 233 eligible TC patients (TCP) who were referred to the Department of Oncology, Lund University Hospital, Lund and accepted to participate in a study of reproductive function in TCP were included (Fig. 1B). Patients were below 50 years and diagnosed with TC < 5 years prior to inclusion and the study was open from March 2001 through October 2006 [22, 23]. At re-invitation in 2010 these TCS were aged 26–58 and 92 of 161 eligible patients were included (Fig. 1B) [4]. All patients, but one, were treated with unilateral orchidectomy. For testicular cancer patients, to different designations, TCP and TCS were applied since at baseline some of the patients had not yet completed cancer treatment and could, therefore, not be considered as TCS.

Blood samples from the baseline investigations (i.e. from the studies on reproductive function) were available from 90 CCS (median time from diagnosis to baseline: 20.4 years; range 6.7–36 years) and 64 TCP (median time from diagnosis to baseline: 2.0 years; range 0.0–5.0 years) and these men were included in the present study (Fig. 1A and B). Age and hormonal status at baseline are shown in Table 1. In the follow up study, 33 of 90 CCS (37%) and 38 of 64 TCP (59%, consequently called TCS onwards) were included, with a median follow up of 4.3 (range 3.7–5.5) and 8.9 (range 5.4–12.2) years, respectively. Comparing patients analyzed only at baseline and not at follow up with patients included in the follow up showed that patients not included at follow up were more often CCS (69% vs. 47%), had higher prevalence of hypogonadism (30% vs. 14%) and had higher levels of IL-6 (median 0.47 vs. 0.39 pg/mL, Table S1).

Table 1 Demographics of patients and controls at baseline

Controls in the same age range were previously identified through the Swedish Population Registry, to serve as healthy controls in a study of hypogonadism in subfertile men [24]. Participants with a history of malignant neoplasm or Klinefelter syndrome were excluded.

Investigations at baseline

Hormone analysis

The procedure of hormone analysis is previously described [21, 23]. In summary, venous samples were drawn from patients between 8.00 a.m. and 15.00/16.00 p.m. for TCP and CCS at baseline. Serum testosterone levels were measured by using a luminometric technique (Access; Beckman Coulter, Chaska, MN, USA) since May 2001 and for some few patients included previously by using a RIA, an ‘in-house’ method developed at the department of clinical chemistry in Malmö. Conversion from RIA values to Access values was performed. Reference range for serum testosterone was 10–35 nmol/L.

For TCP, serum LH was measured by using an immunofluorometric assay (DELFIA LH, Wallac Oy, Turku, Finland) and after April 2000 by using the Elecsys LH immunoassay (Roche Diagnostics). A conversion between the methods was carried out. For CCS, LH was analyzed by using a two-step immunometric assay with a luminometric technique (Access; Beckman-Coulter), reference range 1.0–10 IU/L. Thus, reference ranges for TT and LH were the same for all methods enabling a uniform definition of hypogonadism.

Primary hypogonadism was defined as total testosterone (TT) < 10.0 nmol/L and LH > 10.0 IU/L. Secondary hypogonadism was defined as TT < 10.0 nmol/L and LH < =10.0 IU/L, and compensated hypogonadism was defined as TT > =10.0 nmol/L and LH > 10.0 IU/L. The definition of hypogonadism included patients with primary, secondary, and compensated hypogonadism as well as patients on testosterone replacement therapy (TRT).

Inflammatory assay

Inflammatory markers (IFN-γ, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, and TNF-α) were analyzed in blood samples, stored in − 80 °C until analysis, from both patient cohorts and controls by using a V-PLEX Proinflammatory Panel 1 (human) Kit (MesoScaleDiscovery, Rockville, MD, USA), following the manufacturer’s protocol. Samples were run in duplicates and mean values were used. Samples from both patient cohorts and controls were run proportionally in each batch. For samples with a mean value below the lower detection limit, the value was set to 50% of the lower detection limit. For 4 of 10 inflammatory markers (IL-6, IL-8, IL-10, and TNF-α), <=5% of the samples were below the lower detection limit, whereas for the rest of the markers, > = 25% of samples were below lower detection limit (Fig. S1). Thus, we focused further analysis on IL-6, IL-8, IL-10, and TNF-α. Inflammatory markers were divided into two groups; ‘High’ – above the median of the controls, and ‘Low’ – below the median of the controls.

Investigations at follow up

Metabolic parameters

The procedure of analyzing metabolic parameters is previously described [6]. At follow up, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides were measured by using standard enzymatic methods. Plasma glucose was determined with an automated hexokinase method and serum insulin levels were measured by using an immunometric sandwich assay (Access Ultrasensitive Insulin, Beckman-Coulter, Brea, CA, USA). Blood levels of HbA1c (IFCC) were determined with the VARIANT TURBO Haemoglobin A1c Kit- 2.0 program (VARIANT TURBO, Hercules, CA, USA) using cat ion exchange and gradient elution. Insulin resistance was estimated using the Homeostatic Model Assessment for insulin resistance (HOMA-ir), calculated as (fasting insulin x fasting glucose)/22.5.

Measurements of weight, height and waist circumference were performed. In a supine position, brachial blood pressure in both arms and ankle blood-pressure were measured. The ankle-brachial pressure index (ABI) was defined as the ratio of the systolic blood pressure in the arms divided by the systolic blood pressure in the ankle. When the median brachial systolic pressure differed between the arms by more than 10 mmHg, the highest value was selected for ABI calculation.

The metabolic syndrome was defined using the NCEP ATP III criteria, which require three or more of following criteria; blood pressure > 130 mmHg systolic and/or > 85 mmHg diastolic, waist circumference > 102 cm, HDL < 1.03 mmol/L, fasting glucose > = 5.6 mmol/L, and triglycerides > = 1.7 mmol/L [25].

Statistical analysis

The distributions of the concentrations of inflammatory markers were all positively skewed. Thus, natural logarithmic (Ln) transformation was applied, enabling statistical analysis for normally distributed variables (Fig. S1).

Differences in inflammatory marker levels between patients and controls were calculated using univariate analysis of variance and geometric means were used to describe the difference after back transformation. In order to exclude that levels of inflammatory markers mirror an active cancer those patients included 0–5 months (n = 10) from surgery, patients with stage IV disease (n = 3) and patients with this data missing (n = 3) were not included in the analysis. Since the mean age differed between patients and controls analyses of variance were adjusted for age.

In the analyses of the associations between inflammation and hypogonadism, levels of inflammatory markers were considered as independent and +/− hypogonadism (including those on TRT) as dependent variable. Binominal logistic regression was applied to calculate the odds ratio (OR) of hypogonadism for patients with levels of inflammatory markers above the medians of the controls. Adjustment for age and active cancer (as defined above) was performed.

For the analyses of differences in cardio-metabolic risk factors (BMI, waist circumference, triglycerides, HDL, LDL, cholesterol, hemoglobin, systolic and diastolic blood pressure, ABI, glucose, HbA1c, insulin, and HOMA-ir) at follow up according to levels of inflammation at baseline, t-test was used to calculate the difference in levels of risk factors between patients with levels of inflammatory markers above or below the medians of the controls. For non-normally distributed variables (triglycerides, insulin, and HOMA-ir), Ln-transformed data was analyzed. ORs for metabolic syndrome according to levels of inflammatory markers were calculated by binominal logistic regression and adjusted for active cancer, and age and smoking status at follow up. The inflammatory markers were analyzed separately except for analyses of ORs for hypogonadism and metabolic syndrome which were also calculated for patients with IL-6 levels above median combined with IL-10 levels below median of the controls.

Normally distributed variables and non-normally distributed variables are described as mean (SD) and median (range), respectively. IBM SPSS Statistics v.25 was used for analysis. P-values < 0.05 were considered significant.

Results

Levels of inflammatory markers in cancer survivors as compared to controls

Both TCP and CCS had elevated levels of IL-8, with geometric means that were 1.44 times (95% confidence interval (95%CI) 1.06–1.96, p = 0.022) and 1.25 times (95%CI 1.02–1.53, p = 0.032) higher than for controls, respectively. The differences remained statistically significant after adjusting for age (p = 0.014 and p = 0.007, respectively, Table 2). There was no statistically significant difference in levels of IL-6, TNF-α, or IL-10 between patients and controls.

Table 2 Median concentration (range) of inflammatory cytokines in testicular cancer patients without active cancer and childhood cancer survivors as compared to controls

Levels of inflammatory markers in relation to hypogonadism

At baseline, 35 patients (23%) were hypogonadal. High levels of IL-6 were associated with hypogonadism (OR 2.83, 95%CI 1.25–6.43, p = 0.013, Table 3). This was also significant when adjusted for age and active cancer (p = 0.019). There was no association between hypogonadism and levels of IL-8, IL-10, or TNF-α. However, combining a high IL-6 and a low IL-10 yielded an unadjusted OR of 3.10 (95%CI 1.37–7.01, p = 0.007) for hypogonadism. The result was significant also after adjustment for age and active cancer (p = 0.013).

Table 3 Odds ratio of hypogonadism in childhood cancer survivors and testicular cancer patients with levels of inflammatory markers at baseline below or above the median of controls (n = 148)

Inflammatory marker levels and future cardio-metabolic risk factors

High IL-6 levels at baseline, as compared to low, were associated with higher BMI (mean 28.0 vs. 25.4 kg/m2, p = 0.017), higher waist circumference (mean 98.9 vs. 90.5 cm, p = 0.006), higher serum insulin (median 7.0 vs 5.0 mIU/L, p = 0.049), and higher HbA1c (mean 36.7 vs. 34.3 mmol/mol, p = 0.028, Table 4) at follow up. High TNF-α levels were associated with higher diastolic blood pressure at follow up (mean 83.2 vs. 77.7 mmHg, p = 0.021, Table 4). There was no significant difference in individual metabolic parameters in relation to levels of IL-8 and IL-10. No individual inflammatory marker was associated with risk of metabolic syndrome (Table 5). High IL-6 combined with low IL-10 levels were associated with risk of metabolic syndrome (OR 3.83, 95%CI 1.07–13.75, p = 0.039). However, this association was not statistically significant after adjusting for age, smoking status, and active cancer (p = 0.197).

Table 4 Metabolic risk factors in relation to unadjusted levels of inflammatory cytokines in survivors of testicular cancer and childhood cancer at follow up (n = 71)
Table 5 Odds ratio for metabolic syndrome at follow up, unadjusted and adjusted for age, smoking status and active cancer, in survivors of testicular cancer and childhood cancer (n = 69)

Discussion

In this follow up study of CCS and TCP we found, as compared to controls, statistically significantly higher serum levels of IL-8, but not of the three other inflammatory markers investigated: IL-6, IL10 and TNF-α. Hypogonadism at baseline, found in approximately one of four cancer survivors, was associated with higher IL-6 levels. IL-6 levels at baseline were also positively associated with waist circumference, BMI, HbA1c, and insulin levels at follow up. A high IL-6 combined with a low IL-10 was associated with an increased risk of metabolic syndrome. Together, the findings of this study support the role of inflammation in the increased morbidity risk in young male cancer survivors.

It is well documented that CCS and TCS have higher risk of metabolic and cardiovascular disease [1, 3, 26,27,28]. A possible contributor might be the increased prevalence of hypogonadism in CCS and TCS [4]. Testosterone levels were found to be inversely correlated with inflammatory markers in healthy men and in men with metabolic syndrome [11, 29]. Although testosterone seems to have an anti-inflammatory effect, the effect of TRT on inflammatory markers remains unclear (reviewed in [29]). In the present study, patients on TRT were included in the definition of hypogonadism and primary hypogonadism was not found in any man not given TRT. Notably, only 2 patients (1%) had fulfilled the biochemical criteria of primary hypogonadism despite ongoing TRT. However, 10% of young cancer survivors had secondary hypogonadism, this hormone deficiency being often linked to high waist circumference [12]. Increased visceral adiposity has been reported to lead to decreased testosterone levels, by yet not completely understood mechanisms, involving hypothalamic inflammation and decreased GnRH release [12] and/or obesity-related metabolic endotoxemia-induced IL-6 release, inhibiting testicular function [30]. Testosterone deprivation, on the other hand, increases body fat mass, which has been explained by an increase in subcutaneous, rather than visceral fat [12]. Visceral adipocytes represent an important source of IL-6 [31]. Thus, the fact that waist circumference, in the present study, was the metabolic parameter most strongly associated with IL-6, which in turn was the inflammatory marker associated with hypogonadism, speaks in favor of increased IL-6 levels being a key player linking visceral adiposity to secondary hypogonadism [32].

Although IL-6 levels were associated with waist circumference, BMI, HbA1c, and insulin levels the association with metabolic syndrome was not statistically significant. Neither was the association with other inflammatory markers statistically significant, although there was a trend towards increased risk of metabolic syndrome for patients with low IL-10 levels. Interestingly, a combination of high IL-6 and low IL-10 levels was associated with an increased risk of metabolic syndrome, although not statistically significantly after adjusting for confounders.

IL-10 is known as an anti-inflammatory cytokine, which has been proven to improve insulin sensitivity in mice [31]. In an Italian study, IL-10 levels were higher in obese women than in non-obese women, but were in both groups negatively associated with metabolic syndrome [33]. In a Dutch study, IL-10 capacity, measured as IL-10 levels after stimulus with lipopolysaccharide (LPS), was negatively associated with levels of glucose, HbA1c and LDL, as well as risk of type 2 diabetes, but not with BMI [34]. The results in our study suggest that IL-10 might counteract the negative effects of adiposity-related cytokines, such as IL-6, on insulin sensitivity, which is corroborated by a study in mice where IL-10 co-treatment prevented IL-6 induced insulin resistance [35].

IL-8 were significantly higher in CCS and TCP than in healthy control. IL-8 is a chemokine, excreted by normal and neoplastic cells, and was first recognized as a chemotactic factor of neutrophils. It is now also recognized as an important mediator of angiogenesis, which is a crucial process in promoting cancer progression and metastasis formation [36, 37]. Expression of IL-8 is induced by inflammatory signals, by several environmental factors (in particular hypoxia) and as a response to chemotherapy [37]. Interestingly, evidence of a stable increase in IL-8 expression in chemotherapy-treated cells, after growth in vivo, suggests that a paracrine mechanism might induce genetic or epigenetic changes [38]. In line with this theory, total body irradiation and hematopoietic stem cell transplant was associated with a distinct epigenetic signature in T cells, at genes controlling inflammatory process and oxidative stress [39]. Epigenetic modeling, e.g. via expression of miRNAs, does in fact regulate the secretion of cytokines [40]. As far as we know, increased levels of IL-8 have not been described previously in cancer survivors. In contrary, levels of IL-8 were reported to be lower in acute lymphoblastic leukemia patients as compared to controls, up to 1 year after completed treatment [41]. Simultaneously, levels of TNF-α and IL-2 were increased, whereas levels of IL-6 and IL-10 were the same as for the controls. Other studies have also shown presence of low-grade inflammation markers in cancer survivors. CRP has frequently been reported to be elevated in CCS and TCS [3, 42,43,44], conflicting results have been reported regarding IL-6 [18, 19, 42], whereas levels of TNF-α were reported at same levels for cancer survivors as in controls [18, 19, 42].

It has been proposed that advanced glycation end products (AGE), which are produced in response to oxidative stress, might induce low-grade inflammation, vascular damages and decreased antioxidant activity leading to a chronic low-grade systemic inflammation [44, 45]. Radiotherapy and several chemotherapy agents are known to cause oxidative stress and thus might cause increased levels of AGE, thus functioning as a “metabolic memory”, generating a vicious circle of formation of reactive oxygen species, oxidative stress, and inflammation. This hypothesis is supported by a study of total body irradiation-exposed ALL survivors having a seven-fold increase of AGEs compared to healthy controls [44]. Interestingly, IL-8 has been shown to be an intermediate factor in AGE-mediated cell signaling [46], suggesting a role for IL-8 in the process linking radio- and chemotherapy treatment in young patients to low-grade inflammation and risk of metabolic syndrome. IL-8 has previously been associated with metabolic syndrome [47] and exercise decreases levels of IL-8 in people with metabolic syndrome [48]. However, the association with metabolic syndrome was not corroborated in the present study.

This study was limited by the low number of patients, which made analysis of associations with different types of hypogonadism impossible. The lack of access to blood samples at follow up held us from exploring the development of inflammation in relation to hormone levels over time. Availability of anthropometric and metabolic parameters at baseline would also have provided better possibilities to study the directions of associations shown in this study. The analysis of inflammatory markers was performed by using a proinflammatory multiplex panel limited to 10 cytokines, leaving out other possibly useful markers, especially high sensitive CRP. Blood samples were drawn at slightly different conditions regarding fasting and timepoint during the day, which might affect the testosterone levels. However, we do not believe that this noise in study set up creates any systematic bias. It should be noted that patients not included in the follow up analysis had a higher prevalence of hypogonadism and higher IL-6 levels, compared to patients who were analyzed at follow up, and thus the incidence of metabolic syndrome among young cancer survivors might be underestimated in this study.

Conclusion

Levels of IL-8 were increased in CCS and TCP compared to controls, indicating presence of low-grade inflammation in young male cancer survivors. An inflammatory pattern, characterized by increased IL-6, was associated with hypogonadism and adiposity. In addition, we provide evidence supporting the role of IL-10 as a counteracting response to IL-6 mediated inflammation, thereby preventing development of metabolic syndrome. Prospective studies are needed to fully clarify the mechanism linking early cancer, inflammation, hypogonadism, and risk of cardio-metabolic diseases. There is also a need of establishing standardized methods of analysis as well as establishing reference values. Future prospective studies could establish the role of inflammatory markers in the follow up of cancer patients and aid the design of preventive measures aiming to improve life quality and expectancy in young cancer survivors.

Availability of data and materials

The datasets generated and analysed during the current study are not publicly available since proper ethical permission for open data access has not been obtained, but are available from the corresponding author on reasonable request.

Abbreviations

ABI:

Ankle-brachial pressure index

BMI:

Body mass index

CC:

Childhood cancer

CCS:

Childhood cancer survivors

CI:

Confidence interval

IL:

Interleukin

LH:

Luteinizing hormone

OR:

Odds ratio

TC:

Testicular cancer

TCP:

Testicular cancer patients

TCS:

Testicular cancer survivors

TNF:

Tumor necrosis factor

TRT:

Testosterone replacement treatment

TT:

Total testosterone

References

  1. Haugnes HS, Bosl GJ, Boer H, Gietema JA, Brydoy M, Oldenburg J, et al. Long-term and late effects of germ cell testicular cancer treatment and implications for follow-up. J Clin Oncol. 2012;30(30):3752–63.

    Article  PubMed  Google Scholar 

  2. Ness KK, Armstrong GT, Kundu M, Wilson CL, Tchkonia T, Kirkland JL. Frailty in childhood cancer survivors. Cancer. 2015;121(10):1540–7.

    Article  PubMed  Google Scholar 

  3. Lipshultz SE, Landy DC, Lopez-Mitnik G, Lipsitz SR, Hinkle AS, Constine LS, et al. Cardiovascular status of childhood cancer survivors exposed and unexposed to cardiotoxic therapy. J Clin Oncol. 2012;30(10):1050–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Isaksson S, Bogefors K, Stahl O, Eberhard J, Giwercman YL, Leijonhufvud I, et al. High risk of hypogonadism in young male cancer survivors. Clin Endocrinol. 2018;88(3):432–41.

    Article  CAS  Google Scholar 

  5. Tajar A, Forti G, O'Neill TW, Lee DM, Silman AJ, Finn JD, et al. Characteristics of secondary, primary, and compensated hypogonadism in aging men: evidence from the European male ageing study. J Clin Endocrinol Metab. 2010;95(4):1810–8.

    Article  CAS  PubMed  Google Scholar 

  6. Bogefors C, Isaksson S, Bobjer J, Kitlinski M, Leijonhufvud I, Link K, et al. Hypogonadism in testicular cancer patients is associated with risk factors of cardiovascular disease and the metabolic syndrome. Andrology. 2017;5(4):711–7.

    Article  CAS  PubMed  Google Scholar 

  7. Masterson JM, Soodana-Prakash N, Patel AS, Kargi AY, Ramasamy R. Elevated body mass index is associated with secondary Hypogonadism among men presenting to a tertiary Academic Medical Center. World J Mens Health. 2019;37(1):93–8.

    Article  PubMed  Google Scholar 

  8. Eendebak R, Ahern T, Swiecicka A, Pye SR, O'Neill TW, Bartfai G, et al. Elevated luteinizing hormone despite normal testosterone levels in older men-natural history, risk factors and clinical features. Clin Endocrinol. 2018;88(3):479–90.

    Article  CAS  Google Scholar 

  9. Holmboe SA, Vradi E, Jensen TK, Linneberg A, Husemoen LL, Scheike T, et al. The Association of Reproductive Hormone Levels and all-Cause, Cancer, and cardiovascular disease mortality in men. J Clin Endocrinol Metab. 2015;100(12):4472–80.

    Article  CAS  PubMed  Google Scholar 

  10. Esser N, Legrand-Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. 2014;105(2):141–50.

    Article  CAS  PubMed  Google Scholar 

  11. Kelly DM, Jones TH. Testosterone: a vascular hormone in health and disease. J Endocrinol. 2013;217(3):R47–71.

    Article  CAS  PubMed  Google Scholar 

  12. Corona G, Vignozzi L, Sforza A, Mannucci E, Maggi M. Obesity and late-onset hypogonadism. Mol Cell Endocrinol. 2015;418(Pt 2):120–33.

    Article  CAS  PubMed  Google Scholar 

  13. Dhindsa S, Ghanim H, Batra M, Kuhadiya ND, Abuaysheh S, Sandhu S, et al. Insulin resistance and inflammation in Hypogonadotropic Hypogonadism and their reduction after testosterone replacement in men with type 2 diabetes. Diabetes Care. 2016;39(1):82–91.

    Article  CAS  PubMed  Google Scholar 

  14. Nasser M, Haider A, Saad F, Kurtz W, Doros G, Fijak M, et al. Testosterone therapy in men with Crohn's disease improves the clinical course of the disease: data from long-term observational registry study. Horm Mol Biol Clin Investig. 2015;22(3):111–7.

    CAS  PubMed  Google Scholar 

  15. Bobjer J, Katrinaki M, Tsatsanis C, Lundberg Giwercman Y, Giwercman A. Negative association between testosterone concentration and inflammatory markers in young men: a nested cross-sectional study. PLoS One. 2013;8(4):e61466.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. White JP, Puppa MJ, Narsale A, Carson JA. Characterization of the male ApcMin/+ mouse as a hypogonadism model related to cancer cachexia. Biol Open. 2013;2(12):1346–53.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–74.

    CAS  PubMed  Google Scholar 

  18. Ketterl TG, Chow EJ, Leisenring WM, Goodman P, Koves IH, Petryk A, et al. Adipokines, inflammation, and adiposity in hematopoietic cell transplantation survivors. Biol Blood Marrow Transplant. 2018;24(3):622–6.

    Article  CAS  PubMed  Google Scholar 

  19. Sulicka J, Surdacki A, Mikolajczyk T, Strach M, Gryglewska B, Cwiklinska M, et al. Elevated markers of inflammation and endothelial activation and increased counts of intermediate monocytes in adult survivors of childhood acute lymphoblastic leukemia. Immunobiology. 2013;218(5):810–6.

    Article  CAS  PubMed  Google Scholar 

  20. Bandak M, Jørgensen N, Juul A, Lauritsen J, Oturai PS, Mortensen J, et al. Leydig cell dysfunction, systemic inflammation and metabolic syndrome in long-term testicular cancer survivors. Eur J Cancer. 2017;84:9–17.

    Article  CAS  PubMed  Google Scholar 

  21. Romerius P, Stahl O, Moell C, Relander T, Cavallin-Stahl E, Wiebe T, et al. Hypogonadism risk in men treated for childhood cancer. J Clin Endocrinol Metab. 2009;94(11):4180–6.

    Article  CAS  PubMed  Google Scholar 

  22. Eberhard J, Stahl O, Cohn-Cedermark G, Cavallin-Stahl E, Giwercman Y, Rylander L, et al. Sexual function in men treated for testicular cancer. J Sex Med. 2009;6(7):1979–89.

    Article  PubMed  Google Scholar 

  23. Eberhard J, Stahl O, Cwikiel M, Cavallin-Stahl E, Giwercman Y, Salmonson EC, et al. Risk factors for post-treatment hypogonadism in testicular cancer patients. Eur J Endocrinol. 2008;158(4):561–70.

    Article  CAS  PubMed  Google Scholar 

  24. Bobjer J, Bogefors K, Isaksson S, Leijonhufvud I, Åkesson K, Giwercman YL, et al. High prevalence of hypogonadism and associated impaired metabolic and bone mineral status in subfertile men. Clin Endocrinol. 2016;85(2):189–95.

    Article  CAS  Google Scholar 

  25. Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2(5–6):231–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Huddart RA, Norman A, Shahidi M, Horwich A, Coward D, Nicholls J, et al. Cardiovascular disease as a long-term complication of treatment for testicular cancer. J Clin Oncol. 2003;21(8):1513–23.

    Article  CAS  PubMed  Google Scholar 

  27. Zaid MA, Gathirua-Mwangi WG, Fung C, Monahan PO, El-Charif O, Williams AM, et al. Clinical and genetic risk factors for adverse metabolic outcomes in north American testicular Cancer survivors. J Natl Compr Cancer Netw. 2018;16(3):257–65.

    Article  CAS  Google Scholar 

  28. Mulrooney DA, Yeazel MW, Kawashima T, Mertens AC, Mitby P, Stovall M, et al. Cardiac outcomes in a cohort of adult survivors of childhood and adolescent cancer: retrospective analysis of the childhood Cancer survivor study cohort. Bmj. 2009;339:b4606.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Bianchi VE. The anti-inflammatory effects of testosterone. J Endocr Soc. 2019;3(1):91–107.

    Article  CAS  PubMed  Google Scholar 

  30. Tremellen K, McPhee N, Pearce K. Metabolic endotoxaemia related inflammation is associated with hypogonadism in overweight men. Basic Clin Androl. 2017;27:5.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Febbraio MA. Role of interleukins in obesity: implications for metabolic disease. Trends Endocrinol Metab. 2014;25(6):312–9.

    Article  CAS  PubMed  Google Scholar 

  32. Fernandez CJ, Chacko EC, Pappachan JM. Male obesity-related secondary Hypogonadism - pathophysiology, Clinical Implications and Management. Eur Endocrinol. 2019;15(2):83–90.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Esposito K, Pontillo A, Giugliano F, Giugliano G, Marfella R, Nicoletti G, et al. Association of low interleukin-10 levels with the metabolic syndrome in obese women. J Clin Endocrinol Metab. 2003;88(3):1055–8.

    Article  CAS  PubMed  Google Scholar 

  34. van Exel E, Gussekloo J, de Craen AJ, Frölich M, Bootsma-Van Der Wiel A, Westendorp RG. Low production capacity of interleukin-10 associates with the metabolic syndrome and type 2 diabetes : the Leiden 85-plus study. Diabetes. 2002;51(4):1088–92.

    Article  PubMed  Google Scholar 

  35. Kim HJ, Higashimori T, Park SY, Choi H, Dong J, Kim YJ, et al. Differential effects of interleukin-6 and -10 on skeletal muscle and liver insulin action in vivo. Diabetes. 2004;53(4):1060–7.

    Article  CAS  PubMed  Google Scholar 

  36. Brat DJ, Bellail AC, Van Meir EG. The role of interleukin-8 and its receptors in gliomagenesis and tumoral angiogenesis. Neuro-Oncology. 2005;7(2):122–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Campbell LM, Maxwell PJ, Waugh DJ. Rationale and means to target pro-inflammatory Interleukin-8 (CXCL8) signaling in Cancer. Pharmaceuticals (Basel). 2013;6(8):929–59.

    Article  CAS  Google Scholar 

  38. De Larco JE, Wuertz BR, Manivel JC, Furcht LT. Progression and enhancement of metastatic potential after exposure of tumor cells to chemotherapeutic agents. Cancer Res. 2001;61(7):2857–61.

    PubMed  Google Scholar 

  39. Daniel S, Nylander V, Ingerslev LR, Zhong L, Fabre O, Clifford B, et al. T cell epigenetic remodeling and accelerated epigenetic aging are linked to long-term immune alterations in childhood cancer survivors. Clin Epigenetics. 2018;10(1):138.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Raghuraman S, Donkin I, Versteyhe S, Barrès R, Simar D. The emerging role of epigenetics in inflammation and Immunometabolism. Trends Endocrinol Metab. 2016;27(11):782–95.

    Article  CAS  PubMed  Google Scholar 

  41. Mazur B, Mertas A, Sońta-Jakimczyk D, Szczepański T, Janik-Moszant A. Concentration of IL-2, IL-6, IL-8, IL-10 and TNF-alpha in children with acute lymphoblastic leukemia after cessation of chemotherapy. Hematol Oncol. 2004;22(1):27–34.

    Article  PubMed  Google Scholar 

  42. Ariffin H, Azanan MS, Abd Ghafar SS, Oh L, Lau KH, Thirunavakarasu T, et al. Young adult survivors of childhood acute lymphoblastic leukemia show evidence of chronic inflammation and cellular aging. Cancer. 2017;123(21):4207–14.

    Article  CAS  PubMed  Google Scholar 

  43. Nuver J, Smit AJ, Sleijfer DT, van Gessel AI, van Roon AM, van der Meer J, et al. Microalbuminuria, decreased fibrinolysis, and inflammation as early signs of atherosclerosis in long-term survivors of disseminated testicular cancer. Eur J Cancer. 2004;40(5):701–6.

    Article  CAS  PubMed  Google Scholar 

  44. Felicetti F, Cento AS, Fornengo P, Cassader M, Mastrocola R, D'Ascenzo F, et al. Advanced glycation end products and chronic inflammation in adult survivors of childhood leukemia treated with hematopoietic stem cell transplantation. Pediatr Blood Cancer. 2020;67(3):e28106.

    Article  PubMed  Google Scholar 

  45. Rossi F, Di Paola A, Pota E, Argenziano M, Di Pinto D, Marrapodi MM, et al. Biological aspects of Inflamm-aging in childhood Cancer survivors. Cancers (Basel). 2021;13(19):4933.

  46. Mahali S, Raviprakash N, Raghavendra PB, Manna SK. Advanced glycation end products (AGEs) induce apoptosis via a novel pathway: involvement of Ca2+ mediated by interleukin-8 protein. J Biol Chem. 2011;286(40):34903–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Marques P, Collado A, Martinez-Hervás S, Domingo E, Benito E, Piqueras L, et al. Systemic inflammation in metabolic syndrome: increased platelet and leukocyte activation, and key role of CX (3) CL1/CX (3) CR1 and CCL2/CCR2 axes in arterial platelet-Proinflammatory monocyte adhesion. J Clin Med. 2019;8(5):708.

    Article  CAS  PubMed Central  Google Scholar 

  48. Trøseid M, Lappegård KT, Claudi T, Damås JK, Mørkrid L, Brendberg R, et al. Exercise reduces plasma levels of the chemokines MCP-1 and IL-8 in subjects with the metabolic syndrome. Eur Heart J. 2004;25(4):349–55.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

We would like to thank Alexandra Kondic for her help in running immunoassays for inflammatory markers.

Funding

Open access funding provided by Lund University. This study was financially supported by grants from the Swedish Cancer Society (Grant CAN 2012–661), Swedish Childhood Cancer Society (Grant No PR2012–0049), The Swedish Governmental Research Fund (ALF), the Research Fund of the Region of Scania, Skane University Hospital Fund and Malmo University Hospital Cancer Fund. The funders were not involved in study design, data handling or manuscript preparation.

Author information

Authors and Affiliations

Authors

Contributions

H.E. and A.G. contributed to the study conception and design. S.I., O.S., K.B., P.R., J.E., and A.G. contributed to material preparation and data collection. H.E. and A.G. contributed to data analysis. The first draft of the manuscript was written by H. E and A.G.. All authors commented on previous versions of the manuscript. All authors reviewed the manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Henrik Ekedahl.

Ethics declarations

Ethics approval and consent to participate

All participants provided written informed consent. The study was approved by the regional ethical review board at Lund University, Lund, Sweden (Dnr: LU 386–99, LU 765–03, and 2009/377) and conducted in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The last author – Aleksander Giwercman – has, as a part of ReproUnion research network (www.reprounion.eu) received unrestricted research grant from Ferring Pharmaceuticals. Additionally, he has received lecturing fee from Besins Healthcare and Sandoz. Otherwise, there are no competing interests to be declared.

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.

Supplementary tables and figures. Comparison of patients in and not in the follow up analysis, and distributions of inflammatory cytokine levels in survivors of testicular and childhood cancer and controls.

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 http://creativecommons.org/licenses/by/4.0/. 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 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

Ekedahl, H., Isaksson, S., Ståhl, O. et al. Low-grade inflammation in survivors of childhood cancer and testicular cancer and its association with hypogonadism and metabolic risk factors. BMC Cancer 22, 157 (2022). https://doi.org/10.1186/s12885-022-09253-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-09253-5

Keywords