Evidence map›Paper›PMID 36776043›Full record

ArticleCancer biomarkers : section A of Disease markers2023

Potential prognostic role of somatic mutations in a set of cancer susceptibility genes in ovarian carcinoma: A follow-up multicentric study from Pakistan.

Atika Masood, Rahat Sarfaraz, Saima Zaki, Amira Shami, Saba Khaliq, Nadia Naseem

Abstract readMulticenter Study
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Atika MasoodDepartment of Histopathology and Morbid Anatomy, University of Health Sciences, Lahore, Pakistan.
Rahat SarfarazDepartment of Histopathology and Morbid Anatomy, University of Health Sciences, Lahore, Pakistan.
Saima ZakiDepartment of Obstetrics and Gynecology, Jinnah Hospital, Lahore, Pakistan.
Amira ShamiDepartment of Oncology, INMOL Hospital, Lahore, Pakistan.
Saba KhaliqDepartment of Physiology and Cell Biology, University of Health Sciences, Lahore, Pakistan.
Nadia NaseemDepartment of Histopathology and Morbid Anatomy, University of Health Sciences, Lahore, Pakistan.
University of Health Sciences Lahore · PKJinnah Postgraduate Medical Center · PKMayo Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic mutations, peritoneal metastasis and frequent development of chemoresistance worsen the prognosis of ovarian carcinoma.

objectiveThe objective of the study is to determine mutations in cancer susceptibility genes in relation with chemotherapy response.

methodsIn this follow up descriptive study, 47 consenting female patients diagnosed with surface epithelial ovarian cancer were observed for six months after completion of chemotherapy to see the treatment response. For genetic analysis, the DNA extraction was done and the genomic regions of different exons of BRCA1/2, PALB2, CHEK2, BAP1, CTNNB1, HOXB13, and PIK3CA were amplified using gene specific primers followed by Sanger Sequencing.

results86.7% of the patients were sensitive to chemotherapy whereas 13.3% showed resistance. Genetic variants of BRCA1 in 7%, BRCA2 in 4.7%, PIK3CA in 9.3%, PALB2 in 7%, CHEK2 in 2.3%, BAP1 in 2.3%, and CTNNB1 in 2.3% of the patients were found. There was also a significant association between TNM stage and the treatment response (p< 0.01). Of the patients with no mutations, 90.9% showed chemosensitivity as opposed to 70% in mutations group.

conclusionOur study exhibits the pivotal role of genetic analysis in predicting the treatment response and paving pathway for patient tailored targeted therapy in Pakistani population.

Indexed as

CarcinomaOvarian NeoplasmsBRCA1 ProteinBRCA2 ProteinCarcinoma, Ovarian EpithelialFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGerm-Line MutationHumansPakistanPrognosisBRCA1 ProteinBRCA2 ProteinBRCA1/2chemotherapyEpithelial ovarian cancerprognosissomatic mutations

Identifiers

PMID36776043
PMCPMC12412808
OpenAlexW4319789725

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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.