Evidence map›Paper›PMID 33736612›Full record

Observational studyBMC cancer2021

Mutational profiles of marker genes of cervical carcinoma in Bangladeshi patients.

Shahana Sharmin, Fatima Tuj Zohura, Md Sajedul Islam, Anika Shimonty, Md Abdullah-Al-Kamran Khan, Rehana Parveen, Foujia Sharmin, Chowdhury Rafiqul Ahsan, Abul Bashar Mir Md Khademul Islam, Mahmuda Yasmin

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Shahana Sharmin *Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Fatima Tuj Zohura *Department of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Md Sajedul Islam *Department of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Anika Shimonty *Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Md Abdullah-Al-Kamran KhanDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Rehana ParveenSquare Hospital, Dhaka, Bangladesh.
Foujia SharminDepartment of Gynecological Oncology, National Institute of Cancer Research & Hospital, Dhaka, Bangladesh.
Chowdhury Rafiqul AhsanDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Abul Bashar Mir Md Khademul IslamDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Mahmuda YasminDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh. yasmin@du.ac.bd.
University of Dhaka · BDBRAC University · BDNational Institute of Cancer Research and Hospital · BDSquare Hospitals · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is a gynecologic cancer type that develops in the cervix, accounting for 8% mortality of all female cancer patients. Infection with specific human papillomavirus (HPV) types is considered the most severe risk factor for cervical cancer. In the context of our socioeconomic conditions, an increasing burden of this disease and high mortality rate prevail in Bangladesh. Although several researches related to the epidemiology, HPV vaccination, and treatment modalities were conducted, researches on the mutation profiles of marker genes in cervical cancer in Bangladesh remain unexplored.

methodsIn this study, five different genomic regions within the top three most frequently mutated genes (EGFR, KRAS and PIK3CA) in COSMIC database with a key role in the development of cervical cancers were selected to study the mutation frequency in Bangladeshi patients. In silico analysis was done in two steps: nucleotide sequence analysis and its corresponding amino acid analysis.

resultsDNA from 46 cervical cancer tissue samples were extracted and amplified by PCR, using 1 set of primers designed for EGFR and 2 sets of primers designed for two different regions of both PIK3CA and KRAS gene. In total, 39 mutations were found in 26 patient samples. Eleven different mutations (23.91%), twenty-four different mutations (52.17%) and four mutations (8.7%) were found in amplified EGFR, PIK3CA and KRAS gene fragments, respectively; among which 1 (EGFR) was common in seven patient samples and 2 (PIKCA) were found in more than 1 patient. Our study shows that except for KRAS, the frequency of observed mutations in our patients is higher than those reported earlier in other parts of the world. Most of the exonic mutations were found only in the PIK3CA and EGFR genes.

conclusionsThe study can be used as a basis to build a mutation database for cervical cancer in Bangladesh with the possibility of targetable oncogenic mutations. Further explorations are needed to establish future diagnostics, personalized medicine decisions, and other pharmaceutical applications for specific cancer subtypes.

Indexed as

AdultAntineoplastic AgentsBangladeshBiomarkers, TumorCervix UteriChemotherapy, AdjuvantClass I Phosphatidylinositol 3-KinasesClinical Decision-MakingComputer SimulationDecision Support TechniquesDNA Mutational AnalysisErbB ReceptorsFemaleHumansHysterectomyMiddle AgedAntineoplastic AgentsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesEGFR protein, humanErbB ReceptorsKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins p21(ras)Cervical cancerEGFRHPVKRASMutationPIK3CA

Identifiers

PMID33736612
PMCPMC7977314
OpenAlexW3137317410

What OpenQuestion holds

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LicenceCC BY
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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.