Genetic susceptibility association between viral infection and colorectal cancer risk: a two-sample Mendelian randomization analysis.

IF 3.1 2区医学 Q3 IMMUNOLOGY Infectious Agents and Cancer Pub Date : 2024-08-10 DOI:10.1186/s13027-024-00602-6

Gen Li, Siyu Wang, Jianli Ma, Shanshan Liu

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Abstract

Background: The genetic susceptibility association between viral infection and the risk of colorectal cancer (CRC) has not been established.

Methods: We conducted two-sample Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data. In addition to traditional MR methods, we employed several other approaches, including cML, ConMix, MR-RAPS, and dIVW, to comprehensively assess causal effects. Sensitivity analyses were also performed to ensure the robustness of the results.

Results: After sensitivity analysis, presence of SNPs linked to increased susceptibility to cold sores infection was found to decrease the risk of CRC (OR: 0.73, 95% CI: 0.57-0.93, P = 0.01). In subgroup analysis, presence of SNPs linked to increased susceptibility to viral hepatitis (OR: 0.89, 95% CI: 0.81-0.98, P = 0.02) and infectious mononucleosis (OR: 0.91, 95% CI: 0.84-0.98, P = 0.02) were associated with a decreased risk of colon cancer, while measles virus (OR: 1.41, 95% CI: 1.07-1.85, P = 0.01) was associated with an increased risk of colon cancer. Presence of SNPs linked to increased susceptibility to herpes zoster (OR: 1.26, 95% CI: 1.05-1.52, P = 0.01) was associated with an increased risk of rectal cancer, while infectious mononucleosis (OR: 0.809, 95% CI: 0.80-0.98, P = 0.02) was associated with a decreased risk.

Conclusion: The study provides the first evidence of the genetic susceptibility associations between different viral infections and CRC, enhancing our understanding of the etiology of CRC.

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病毒感染与结直肠癌风险之间的遗传易感性关联：双样本孟德尔随机分析。

背景：病毒感染与大肠癌（CRC）风险之间的遗传易感性关联尚未确定：病毒感染与结直肠癌（CRC）风险之间的遗传易感性关联尚未确定：我们利用全基因组关联研究（GWAS）数据进行了双样本孟德尔随机化（MR）分析。除了传统的 MR 方法外，我们还采用了其他几种方法，包括 cML、ConMix、MR-RAPS 和 dIVW，以全面评估因果效应。我们还进行了敏感性分析，以确保结果的稳健性：经过敏感性分析后发现，与感冒疮感染易感性增加相关的 SNPs 的存在可降低 CRC 风险（OR：0.73，95% CI：0.57-0.93，P = 0.01）。在亚组分析中，与病毒性肝炎易感性增加相关的 SNPs（OR：0.89，95% CI：0.81-0.98，P = 0.02）和传染性单核细胞增多症（OR：0.91，95% CI：0.84-0.98，P = 0.02）与结肠癌风险降低相关，而麻疹病毒（OR：1.41，95% CI：1.07-1.85，P = 0.01）与结肠癌风险增加相关。与带状疱疹易感性增加相关的 SNPs（OR：1.26，95% CI：1.05-1.52，P = 0.01）与直肠癌风险增加有关，而传染性单核细胞增多症（OR：0.809，95% CI：0.80-0.98，P = 0.02）与风险降低有关：该研究首次提供了不同病毒感染与 CRC 之间遗传易感性关联的证据，加深了我们对 CRC 病因的了解。

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来源期刊

Infectious Agents and Cancer ONCOLOGY-IMMUNOLOGY

CiteScore

5.80

自引率

2.70%

发文量

期刊介绍： Infectious Agents and Cancer is an open access, peer-reviewed online journal that encompasses all aspects of basic, clinical, epidemiological and translational research providing an insight into the association between chronic infections and cancer. The journal welcomes submissions in the pathogen-related cancer areas and other related topics, in particular: • HPV and anogenital cancers, as well as head and neck cancers; • EBV and Burkitt lymphoma; • HCV/HBV and hepatocellular carcinoma as well as lymphoproliferative diseases; • HHV8 and Kaposi sarcoma; • HTLV and leukemia; • Cancers in Low- and Middle-income countries. The link between infection and cancer has become well established over the past 50 years, and infection-associated cancer contribute up to 16% of cancers in developed countries and 33% in less developed countries. Preventive vaccines have been developed for only two cancer-causing viruses, highlighting both the opportunity to prevent infection-associated cancers by vaccination and the gaps that remain before vaccines can be developed for other cancer-causing agents. These gaps are due to incomplete understanding of the basic biology, natural history, epidemiology of many of the pathogens that cause cancer, the mechanisms they exploit to cause cancer, and how to interrupt progression to cancer in human populations. Early diagnosis or identification of lesions at high risk of progression represent the current most critical research area of the field supported by recent advances in genomics and proteomics technologies.