ArticleMedical oncology (Northwood, London, England)2019
A study of mechanistic mapping of novel SNPs to male breast cancer.
Article in Medical oncology (Northwood, London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Analysis and comparison of the burden of male breast cancer: differences between the global, China, India, and the United States.BMC public health · 2025Article
- Male breast cancer: a 30 year retrospective analysis from a tertiary cancer care centre.Ecancermedicalscience · 2023Article
- Literature Review ofGenes · 2020Review
- Male Breast Cancer: Clinicopathological, Immunohistochemical and Radiological Study.Turk patoloji dergisi · 2020Article
- Male Breast Cancer: Current Scenario and Future Perspectives.Technology in cancer research & treatmentReview
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Alterations in BRCA2, PALB2, CHEK2, and p53 genes have been identified for their association with male breast cancer in various studies. The incidence of male breast cancer in India is consistent with its global rate. The present study was carried out with an aim to evaluate the genetic alterations in male breast cancer patients from Malwa region of Punjab, India. Four male breast cancer patients belonging to different families were recruited from Guru Gobind Singh Medical College and Hospital, Faridkot, India. A total of 51 genes reported with implications in the pathogenesis of breast cancer were screened using next generation sequencing. Germline variations were found in BRCA1, BRCA2, PMS2, p53, and PALB2 genes, previously reported to be associated with MBC as well as FBC. In addition to these, 13 novel missense alterations were detected in eight genes including STK11, FZR1, PALB2, BRCA2, NF2, BAP1, BARD1, and CHEK2. Impact of these missense alterations on structure and function of protein was also analyzed through molecular dynamics simulation. Structural analysis of these single nucleotide polymorphisms (SNPs) revealed significant impact on the encoded protein functioning.
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