Differences in survival and recurrence of colorectal cancer by stage across population-based European registries.

Recurrence after colorectal cancer resection is rarely documented in the general population while a key clinical determinant for patient survival. We identified 8785 patients with colorectal cancer diagnosed between 2010 and 2013 and clinically followed up to 2020 in 15 cancer registries from seven European countries (Bulgaria, Switzerland, Germany, Estonia, France, Italy, and Spain). We estimated world age-standardized net survival using a flexible cumulative excess hazard model. Recurrence rates were calculated for patients with initially resected stage I, II, or III cancer in six countries, using the actuarial survival method. The proportion of nonmetastatic resected colorectal cancers varied from 58.6% to 78.5% according to countries. The overall 5-year net survival by country ranged between 60.8% and 74.5%. The absolute difference between the 5-year survival extremes was 12.8 points for stage II (Bulgaria vs Switzerland), 19.7 points for stage III (Bulgaria vs. Switzerland) and 14.8 points for Stage IV and unresected cases (Bulgaria vs. Switzerland or France). Five-year cumulative rate of recurrence among resected patients with stage I-III was 17.7%. As compared to the mean of the whole cohort, the risk of developing a recurrence did not differ between countries except a lower risk in Italy for both stage I/II and stage III cancers and a higher risk in Spain for stage III. Survival after colorectal cancer differed across the concerned European countries while there were slight differences in recurrence rates. Population-based collection of cancer recurrence information is crucial to enhance efforts for evidence-based management of colorectal cancer follow up.

Patterns of care and survival for lung cancer: Results of the European population-based high-resolution study.

Objectives: To investigate differences in lung cancer (LC) management and survival using data from European population cancer registries. Methods: We analysed 4,602 lung cancer cases diagnosed in 2010-2013, followed-up to 2019 in five countries. Multivariable logistic regression was used to calculate the Odds Ratio (OR) of surgery for stages I-II LC or chemo- or radiotherapy for stages III-IV LC. Relative survival (RS) was estimated by the actuarial method; Relative Excess Risk of death (RER), with 95% CI, was calculated by generalized linear models. Results: Diagnostic work-up was extensive for 65.9% patients (range 57%, Estonia, Portugal - 85% (Belgium). Sixty-six percent of stages I-II patients underwent surgery; compared to non-operated, their adjusted OR decreased with age and was associated with main bronchus cancer (OR vs. lobes 0.25, CI, 0.08-0.82), stage II (OR vs. stage I: 0.42, CI, 0.29-0.60), comorbidity (OR vs. absent: 0.55, CI, 0.33-0.93), country (ORs: Estonia 1.82, CI, 1.28-2.60; Belgium 0.62, CI, 0.42-0.91; Portugal 0.69, CI, 0.52-0.93).Almost half of stages III-IV patients received chemo- or radiotherapy only; the adjusted OR vs. non receiving decreased with age and was associated with unspecified cancer topography or morphology. The adjusted five-year RER increased with age and stage and was lower for women (0.78, CI, 0.72-0.86), above the reference for main bronchus cancer (1.37, CI, 1.21-1.54) and unspecified morphology (1.17, CI, 1.05-1.30). Surgery carried the lowest mortality (RS 56.9; RER 0.13, CI, 0.11-0.15) with RER above the mean in Estonia (1.20, CI, 1.10-1.30), below it in Portugal (0.88, CI, 0.82-0.93) and Switzerland (0.91, CI, 0.84-0.99). Comorbidity (1.21, CI, 1.09-1.35) and not smoking (0.68, CI, 0.57-0.81) were associated with RER. Conclusions: The survival benefit of early diagnosis, allowing curative surgery, was evident at the population level. Screening for subjects at risk and adhesion to standard care should be incremented across the EU by funding better equipment and training health personnel.

Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition.

BACKGROUND: Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. METHODS: We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty. RESULTS: Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk. CONCLUSIONS: These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.

Circulating Isovalerylcarnitine and Lung Cancer Risk: Evidence from Mendelian Randomization and Prediagnostic Blood Measurements.

BACKGROUND: Tobacco exposure causes 8 of 10 lung cancers, and identifying additional risk factors is challenging due to confounding introduced by smoking in traditional observational studies. MATERIALS AND METHODS: We used Mendelian randomization (MR) to screen 207 metabolites for their role in lung cancer predisposition using independent genome-wide association studies (GWAS) of blood metabolite levels (n = 7,824) and lung cancer risk (n = 29,266 cases/56,450 controls). A nested case-control study (656 cases and 1,296 matched controls) was subsequently performed using prediagnostic blood samples to validate MR association with lung cancer incidence data from population-based cohorts (EPIC and NSHDS). RESULTS: An MR-based scan of 207 circulating metabolites for lung cancer risk identified that blood isovalerylcarnitine (IVC) was associated with a decreased odds of lung cancer after accounting for multiple testing (log10-OR = 0.43; 95% CI, 0.29-0.63). Molar measurement of IVC in prediagnostic blood found similar results (log10-OR = 0.39; 95% CI, 0.21-0.72). Results were consistent across lung cancer subtypes. CONCLUSIONS: Independent lines of evidence support an inverse association of elevated circulating IVC with lung cancer risk through a novel methodologic approach that integrates genetic and traditional epidemiology to efficiently identify novel cancer biomarkers. IMPACT: Our results find compelling evidence in favor of a protective role for a circulating metabolite, IVC, in lung cancer etiology. From the treatment of a Mendelian disease, isovaleric acidemia, we know that circulating IVC is modifiable through a restricted protein diet or glycine and L-carnatine supplementation. IVC may represent a modifiable and inversely associated biomarker for lung cancer.

Anti-cancer therapy is associated with long-term epigenomic changes in childhood cancer survivors.

BACKGROUND: Childhood cancer survivors (CCS) exhibit significantly increased chronic diseases and premature death. Abnormalities in DNA methylation are associated with development of chronic diseases and reduced life expectancy. We investigated the hypothesis that anti-cancer treatments are associated with long-term DNA methylation changes that could be key drivers of adverse late health effects. METHODS: Genome-wide DNA methylation was assessed using MethylationEPIC arrays in paired samples (before/after therapy) from 32 childhood cancer patients. Separately, methylation was determined in 32 samples from different adult CCS (mean 22-years post-diagnosis) and compared with cancer-free controls (n = 284). RESULTS: Widespread DNA methylation changes were identified post-treatment in childhood cancer patients, including 146 differentially methylated regions (DMRs), which were consistently altered in the 32 post-treatment samples. Analysis of adult CCS identified matching methylation changes at 107/146 of the DMRs, suggesting potential long-term retention of post-therapy changes. Adult survivors also exhibited epigenetic age acceleration, independent of DMR methylation. Furthermore, altered methylation at the DUSP6 DMR was significantly associated with early mortality, suggesting altered methylation may be prognostic for some late adverse health effects in CCS. CONCLUSIONS: These novel methylation changes could serve as biomarkers for assessing normal cell toxicity in ongoing treatments and predicting long-term health outcomes in CCS.

Assessment of Lung Cancer Risk on the Basis of a Biomarker Panel of Circulating Proteins.

Importance: There is an urgent need to improve lung cancer risk assessment because current screening criteria miss a large proportion of cases. Objective: To investigate whether a lung cancer risk prediction model based on a panel of selected circulating protein biomarkers can outperform a traditional risk prediction model and current US screening criteria. Design, Setting, and Participants: Prediagnostic samples from 108 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and samples from 216 smoking-matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were used to develop a biomarker risk score based on 4 proteins (cancer antigen 125 [CA125], carcinoembryonic antigen [CEA], cytokeratin-19 fragment [CYFRA 21-1], and the precursor form of surfactant protein B [Pro-SFTPB]). The biomarker score was subsequently validated blindly using absolute risk estimates among 63 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and 90 matched controls from 2 large European population-based cohorts, the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Northern Sweden Health and Disease Study (NSHDS). Main Outcomes and Measures: Model validity in discriminating between future lung cancer cases and controls. Discrimination estimates were weighted to reflect the background populations of EPIC and NSHDS validation studies (area under the receiver-operating characteristics curve [AUC], sensitivity, and specificity). Results: In the validation study of 63 ever-smoking patients with lung cancer and 90 matched controls (mean [SD] age, 57.7 [8.7] years; 68.6% men) from EPIC and NSHDS, an integrated risk prediction model that combined smoking exposure with the biomarker score yielded an AUC of 0.83 (95% CI, 0.76-0.90) compared with 0.73 (95% CI, 0.64-0.82) for a model based on smoking exposure alone (P = .003 for difference in AUC). At an overall specificity of 0.83, based on the US Preventive Services Task Force screening criteria, the sensitivity of the integrated risk prediction (biomarker) model was 0.63 compared with 0.43 for the smoking model. Conversely, at an overall sensitivity of 0.42, based on the US Preventive Services Task Force screening criteria, the integrated risk prediction model yielded a specificity of 0.95 compared with 0.86 for the smoking model. Conclusions and Relevance: This study provided a proof of principle in showing that a panel of circulating protein biomarkers may improve lung cancer risk assessment and may be used to define eligibility for computed tomography screening.