Evidence map›Paper›PMID 36061650›Full record

ArticleACS omega2022

Computational Biology of BRCA2 in Male Breast Cancer, through Prediction of Probable nsSNPs, and Hit Identification.

Sangita Dattatray Shinde, Dinesh Parshuram Satpute, Santosh Kumar Behera, Dinesh Kumar

Abstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sangita Dattatray ShindeDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmadabad, Palaj, Gandhinagar 382355, Gujarat, India.
Dinesh Parshuram SatputeDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmadabad, Palaj, Gandhinagar 382355, Gujarat, India.
Santosh Kumar BeheraDepartment of Biotechnology, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmadabad, Palaj, Gandhinagar 382355, Gujarat, India.
Dinesh KumarDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmadabad, Palaj, Gandhinagar 382355, Gujarat, India.ORCID https://orcid.org/0000-0003-2680-881X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male breast cancer (MBC) is a relatively rare disease, but emerging data recommend the development of novel therapeutics considering its alarming threats. Compared to female breast cancer (FBC), MBC is reportedly associated with inferior outcomes (poor survival) owing to their late diagnosis and lack of adequate treatment. Treatment typically correlates with FBC, involving surgical removal of the breast tissue along with chemo/hormonal/radiation therapy, the tamoxifen being a standard adjuvant. Considering the distinct immunophenotypic (implying different pathogenesis and progression) differences from FBC, the identification of diagnostics, prognostics, and therapeutics for MBC is highly desirable. In this context, we have analyzed the most deleterious nsSNPs of

Identifiers

PMID36061650
PMCPMC9434626

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Registered trials

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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.