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  • * Results showed that a higher PRS was more strongly related to EGFR-positive LUAD cases (OR=8.63) than to EGFR-negative cases (OR=3.50), indicating a significant association based on mutation status.
  • * These findings imply that genetic susceptibility to LUAD differs in never-smoking East Asian women depending on whether the cancer has specific mutations, which could affect public health strategies and clinical practices.*
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Association between oral microbiome and seven types of cancers in East Asian population: a two-sample Mendelian randomization analysis.

Front Mol Biosci

November 2023

Department of Breast Surgical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

The oral microbiome has been intricately linked to various pathological conditions, notably cancer, though clear causal links remain elusive. This study aimed to investigate the potential causal relationships between the oral microbiome and seven major cancers: breast, lung, pancreatic, colorectal, gastric, ovarian, and prostate cancers, leveraging Mendelian randomization (MR). A two-sample MR analysis was conducted using genome-wide association study (GWAS) data specific to oral microbiota in individuals of East Asian descent.

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Overview of Risk Factors for Esophageal Squamous Cell Carcinoma in China.

Cancers (Basel)

November 2023

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Hong Kong SAR, China.

(1) Background: China has the highest esophageal squamous cell carcinoma (ESCC) incidence areas in the world, with some areas of incidence over 100 per 100,000. Despite extensive public health efforts, its etiology is still poorly understood. This study aims to review and summarize past research into potential etiologic factors for ESCC in China.

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A complex systems model of breast cancer etiology: The Paradigm II Model.

PLoS One

May 2023

Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, California, United States of America.

Background: Complex systems models of breast cancer have previously focused on prediction of prognosis and clinical events for individual women. There is a need for understanding breast cancer at the population level for public health decision-making, for identifying gaps in epidemiologic knowledge and for the education of the public as to the complexity of this most common of cancers.

Methods And Findings: We developed an agent-based model of breast cancer for the women of the state of California using data from the U.

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Settings And Design: A retrospective study which analyzed the data of female patients attending a tertiary care center in National Capital Territory for the treatment of endometrial cancer.

Materials And Methods: Eighty-six histopathologically confirmed cases of carcinoma endometrium were taken from January 2016 to December 2019. Detailed information was collected regarding patient's case history, sociodemographic data (age of presentation, occupation, religion, residence, and substance addiction), clinical presentation, diagnostic and therapeutic procedures, and known risk factors (age at menarche and menopause, parity, obesity, use of oral contraceptive pills, hormone replacement therapy, and comorbidities such as hypertension and diabetes).

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