Evidence map›Paper›PMID 34601666›Full record

ArticleAnnals of surgical oncology2022

Profile of Pathogenic Mutations and Evaluation of Germline Genetic Testing Criteria in Consecutive Breast Cancer Patients Treated at a North Indian Tertiary Care Center.

Abhenil Mittal, S V S Deo, Ajay Gogia, Atul Batra, Akash Kumar, Sandeep Bhoriwal, Koushik Sinha Deb, Ekta Dhamija, Sanjay Thulkar, V L Ramprasad and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

14 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Management ofEcancermedicalscience · 2024
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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

12 authors at 4 institutions in 2 countries.

Abhenil MittalDepartment of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
S V S DeoDepartment of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Ajay GogiaDepartment of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
Atul BatraDepartment of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
Akash KumarDepartment of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
Sandeep BhoriwalDepartment of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Koushik Sinha DebDepartment of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
Ekta DhamijaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
Sanjay ThulkarDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
V L RamprasadMedgenome Labs Ltd, Bangalore, India.
Olufunmilayo OlopadeCenter for Clinical Cancer Genetics and Global Health, University of Chicago, Chicago, IL, USA.
Raja PramanikDepartment of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India. drrajapramanik@gmail.com.ORCID http://orcid.org/0000-0003-0483-6254
All India Institute of Medical Sciences · INDR. B.R.A. Institute Rotary Cancer Hospital · INSciGenom Labs (India) · INUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of hereditary breast cancer in India is not well defined. Moreover, genetic testing criteria (National Comprehensive Cancer Network [NCCN] and Mainstreaming Cancer Genetics [MCG] Plus) have never been validated in the Indian population.

methodsAll new female breast cancer patients from 1st March 2019 to 28th February 2020 were screened. Those providing informed consent and without previous genetic testing were recruited. Multigene panel testing (107 genes) by next-generation sequencing was performed for all patients. The frequency of pathogenic/likely pathogenic (P/LP) mutations between patients qualifying and not qualifying the testing criteria was compared and their sensitivity was computed.

resultsOverall, 275 breast cancer patients were screened and 236 patients were included (median age 45 years); 30 patients did not consent and 9 patients previously underwent genetic testing. Thirty-four (14%) women had a positive family history and 35% had triple-negative breast cancer. P/LP mutations were found in 44/236 (18.64%) women; mutations in BRCA1 (22/47, 46.8%) and BRCA2 (9/47, 19.1%) were the most common, with 34% of mutations present in non-BRCA genes. Patients qualifying the testing criteria had a higher risk of having a P/LP mutation (NCCN: 23.6% vs. 7.04%, p = 0.03; MCG plus: 24.8% vs. 7.2%, p = 0.01). The sensitivity of the NCCN criteria was 88.6% (75.4-96.2) and 86.36% (72.65-94.83) for MCG plus. More than 95% sensitivity was achieved if all women up to 60 years of age were tested. Cascade testing was performed in 31 previous (16/44 families), with 23 testing positive.

conclusionsThe frequency of P/LP mutations in India is high, with significant contribution of non-BRCA genes. Testing criteria need modification to expand access to testing.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsBRCA1 ProteinBRCA2 ProteinFemaleGenetic Predisposition to DiseaseGenetic TestingGerm CellsGerm-Line MutationHumansMiddle AgedMutationTertiary Care CentersBRCA1 ProteinBRCA2 Protein

Identifiers

PMID34601666
PMCPMC8487333
OpenAlexW3202755209

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.