Evidence map›Paper›PMID 39496981›Full record

ArticleFunctional & integrative genomics2024

Breast cancer genomic analyses reveal genes, mutations, and signaling networks.

Gowrang Kasaba Manjunath, Srihari Sharma, Disha Nashier, Shruthi Vasanthaiah, Spriha Jha, Saloni Bage, Tamoghna Mitra, Pankaj Goyal, Muniasamy Neerathilingam, Abhishek Kumar

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Article in Functional & integrative genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gowrang Kasaba ManjunathManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
Srihari SharmaInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560066, Karnataka, India.
Disha NashierManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
Shruthi VasanthaiahManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
Spriha JhaInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560066, Karnataka, India.
Saloni BageDepartment of Biotechnology, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India.
Tamoghna MitraManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
Pankaj GoyalDepartment of Biotechnology, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India.
Muniasamy NeerathilingamManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India.
Abhishek KumarManipal Academy of Higher Education (MAHE), Manipal, 576104, Karnataka, India. abhishek@ibioinformatics.org.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/RLF/Re-entry/38/2017
6 · The paper itself

Abstract

Breast cancer (BC) is the most commonly diagnosed cancer and the predominant cause of death in women. BC is a complex disorder, and the exploration of several types of BC omic data, highlighting genes, perturbations, signaling and cellular mechanisms, is needed. We collected mutational data from 9,555 BC samples using cBioPortal. We classified 1174 BC genes (mutated ≥ 40 samples) into five tiers (BCtier_I-V) and subjected them to pathway and protein‒protein network analyses using EnrichR and STRING 11, respectively. BCtier_I possesses 12 BC genes with mutational frequencies > 5%, with only 5 genes possessing > 10% frequencies, namely, PIK3CA (35.7%), TP53 (34.3%), GATA3 (11.5%), CDH1 (11.4%) and MUC16 (11%), and the next seven BC genes are KMT2C (8.8%), TTN (8%), MAP3K1 (8%), SYNE1 (7.2%), AHNAK2 (7%), USH2A (5.5%), and RYR2 (5.4%). Our pathway analyses revealed that the five top BC pathways were the PI3K-AKT, TP53, NOTCH, HIPPO, and RAS pathways. We found that BC panels share only seven genes. These findings show that BC arises from genetic disruptions evident in BC signaling and protein networks.

Indexed as

Breast NeoplasmsMutationSignal TransductionFemaleGene Regulatory NetworksGenomicsHumansNeoplasm ProteinsProtein Interaction MapsNeoplasm ProteinsBC panelBreast cancerMutations: pathway analysisProtein‒protein interaction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.