Excess body weight and second primary cancer risk after breast cancer: a systematic review and meta-analysis of prospective studies

Abstract Background Head and Neck Cancer (HNC) survivors are at increased risk of developing a second primary cancer (SPC). Along with the environmental risk factors, genetic factors have been associated with a potential increased susceptibility to SPC development. We aim to identify the Single Nucleotide Polymorphisms (SNPs) that contribute to SPC development among HNC survivors through a systematic review and meta-analysis. Methods We searched PubMed, Scopus and ISI Web of Science for eligible studies published in English until January 31st, 2020. We included studies reporting primary data that evaluated the association between SNPs and SPC risk in HNC patients. Data were pooled in a random-effect meta-analyses, when at least two studies on the same SNP evaluated the same genotype model. Heterogeneity was assessed using the χ2-based Q-statistics and the I2 statistics. Quality of the included studies was assessed using the Q-Genie tool. Results Twenty-one studies, of moderate to good quality, were included in the systematic review. Fifty-one genes were reported across the included studies to have significant associations with an increased SPC risk. Overall, 81 out of 122 investigated SNPs were significantly associated with the SPC risk. Seven studies were included in the meta-analysis, which showed five SNPs associated with an increased risk of SPC: p21C70T, CT + TT (HR = 1.76; 95% CI: 1.28–2.43); FASLG -844C > T, CT + TT (HR = 1.82; 95% CI: 1.35–2.46), P21 C98A, CA + AA (HR = 1.75; 95% CI: 1.28–2.38); FAS -670A > G (HR = 1.84; 95% CI: 1.28–2.66) and GST-M1, Null genotype (HR = 1.54; 95% CI: 1.13–2.10). Conclusions The identified SNPs in our systematic review and meta-analysis might serve as potential markers for identification of patients at high risk of developing SPC after primary HNC. PROSPERO Registration Number CRD42019135612.

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Occurrence of metachronous second primary cancer in head and neck cancer survivors: A systematic review and meta‐analysis of the literature

European Journal of Cancer Care ◽

10.1111/ecc.13255 ◽

2020 ◽

Vol 29 (5) ◽

Author(s):

Ilda Hoxhaj ◽

Ola Hysaj ◽

Vladimir Vukovic ◽

Emanuele Leoncini ◽

Rosarita Amore ◽

...

Keyword(s):

Systematic Review ◽

Head And Neck Cancer ◽

Cancer Survivors ◽

Head And Neck ◽

Neck Cancer ◽

Meta Analysis ◽

Second Primary ◽

Primary Cancer ◽

Second Primary Cancer

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Fruits, vegetables and breast cancer risk: a systematic review and meta-analysis of prospective studies

Breast Cancer Research and Treatment ◽

10.1007/s10549-012-2118-1 ◽

2012 ◽

Vol 134 (2) ◽

pp. 479-493 ◽

Cited By ~ 110

Author(s):

D. Aune ◽

D. S. M. Chan ◽

A. R. Vieira ◽

D. A. Navarro Rosenblatt ◽

R. Vieira ◽

...

Keyword(s):

Breast Cancer ◽

Systematic Review ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Prospective Studies ◽

Meta Analysis

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Dietary fiber and breast cancer risk: a systematic review and meta-analysis of prospective studies

Annals of Oncology ◽

10.1093/annonc/mdr589 ◽

2012 ◽

Vol 23 (6) ◽

pp. 1394-1402 ◽

Cited By ~ 124

Author(s):

D. Aune ◽

D.S.M. Chan ◽

D.C. Greenwood ◽

A.R. Vieira ◽

D.A. Navarro Rosenblatt ◽

...

Keyword(s):

Breast Cancer ◽

Systematic Review ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Dietary Fiber ◽

Prospective Studies ◽

Meta Analysis

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Cholesterol and breast cancer risk: a systematic review and meta-analysis of prospective studies

British Journal Of Nutrition ◽

10.1017/s000711451500183x ◽

2015 ◽

Vol 114 (3) ◽

pp. 347-357 ◽

Cited By ~ 54

Author(s):

Mathilde Touvier ◽

Philippine Fassier ◽

Mathilde His ◽

Teresa Norat ◽

Doris S. M. Chan ◽

...

Keyword(s):

Breast Cancer ◽

Systematic Review ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Dose Response ◽

Prospective Studies ◽

Meta Analysis ◽

Experimental Studies ◽

Hdl Cholesterol ◽

Inverse Association

The objective of the present study was to conduct the first systematic review and meta-analysis of prospective studies investigating the associations between total cholesterol (TC), HDL-cholesterol (HDL-C) and LDL-cholesterol (LDL-C) levels and the risk of breast cancer. Relevant studies were identified in PubMed (up to January 2014). Inclusion criteria were original peer-reviewed publications with a prospective design. Random-effects models were used to estimate summary hazard ratios (HR) and 95 % CI. Distinction was made between studies that did or did not exclude cancer cases diagnosed during the first years of follow-up, thereby eliminating potential preclinical bias. Overall, the summary HR for the association between TC and breast cancer risk was 0·97 (95 % CI 0·94, 1·00; dose–response per 1 mmol/l increment, thirteen studies), and that between HDL-C and breast cancer risk was 0·86 (95 % CI 0·69, 1·09; dose–response per 1 mmol/l increment, six studies), with high heterogeneity (I2= 67 and 47 %, respectively). For studies that eliminated preclinical bias, an inverse association was observed between the risk of breast cancer and TC (dose–response HR 0·94 (95 % CI 0·89, 0·99), seven studies, I2= 78 %; highest v. lowest HR 0·82 (95 % CI 0·66, 1·02), nine studies, I2= 81 %) and HDL-C (dose–response HR 0·81 (95 % CI 0·65, 1·02), five studies, I2= 30 %; highest v. lowest HR 0·82 (95 % CI 0·69, 0·98), five studies, I2= 0 %). There was no association observed between LDL-C and the risk of breast cancer (four studies). The present meta-analysis confirms the evidence of a modest but statistically significant inverse association between TC and more specifically HDL-C and the risk of breast cancer, supported by mechanistic plausibility from experimental studies. Further large prospective studies that adequately control for preclinical bias are needed to confirm the results on the role of cholesterol level and its fractions in the aetiology of breast cancer.

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