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Alisa M. Goldstein

Researcher at National Institutes of Health

Publications -  309
Citations -  24663

Alisa M. Goldstein is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Cancer & Population. The author has an hindex of 72, co-authored 297 publications receiving 22773 citations. Previous affiliations of Alisa M. Goldstein include United States Department of Health and Human Services.

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Family history of gallstones and the risk of biliary tract cancer and gallstones: a population-based study in Shanghai, China.

TL;DR: This large population‐based study not only supports the role of gallstones in biliary carcinogenesis but also suggests that the underlying genetic or lifestyle determinants of stones within families contribute to the risk of biliary tract cancer.
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Identification of novel regions of allelic loss from a genomewide scan of esophageal squamous-cell carcinoma in a high-risk Chinese population.

TL;DR: The very high frequency LOH regions identified here may point to major susceptibility genes, including potential tumor suppressor genes and inherited gene loci, which will assist in understanding the molecular events involved in esophageal carcinogenesis and may help in the development of markers for genetic susceptibility testing and screening for the early detection of this cancer.
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A genome-wide search for loci contributing to smoking and alcoholism.

TL;DR: The number of loci identified using EVRNVR suggests that a threshold‐based phenotype may better identify loci affecting smoking history, and some of these regions may represent loci increasing vulnerability to both smoking and alcoholism.
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Molecular Characterization of the Human Stomach Microbiota in Gastric Cancer Patients.

TL;DR: It was showed that Hp is the dominant member of the non-malignant gastric tissue microbiota in many gastric cancer patients, and taxonomic and derived functional profiles of gastric microbiota were distinct from those found in other body sites and had higher inter-subject dissimilarity.