Evidence map›Paper›PMID 26762413›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Mutation analysis of EGFR and its correlation with the HPV in Indian cervical cancer patients.

Rehana Qureshi, Himanshu Arora, Shilpi Biswas, Ahmad Perwez, Afreen Naseem, Saima Wajid, Gauri Gandhi, Moshahid Alam Rizvi

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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

8 authors at 4 institutions in 1 country.

Rehana QureshiDepartment of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India.
Himanshu AroraSchool of Studies in Zoology and Biotechnology, Vikram University, Ujjain, MP, India.
Shilpi BiswasDepartment of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India.
Ahmad PerwezDepartment of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India.
Afreen NaseemDepartment of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India.
Saima WajidDepartment of Biotechnology, Faculty of Science Jamia Hamdard, New Delhi, India.
Gauri GandhiDepartment of Obstetrics and Gynaecology LNJP/MMAC Campus, New Delhi, India.
Moshahid Alam RizviDepartment of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India. rizvi_ma@yahoo.com.
Jamia Millia Islamia · INJamia Hamdard · INLok Nayak Jai Prakash Narayan Hospital · INVikram University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is a major cause of morbidity and mortality particularly in developing countries. Somatic mutations in the tyrosine kinase domain of the epidermal growth factor receptor (EGFR) gene is associated with increased sensitivity to tyrosine kinase inhibitors (TKIs). In this study, the presence of EGFR mutations in cervical cancer and its correlation with HPV were identified. EGFR mutations were found in 31 out of 95 patients (32.63 %). Results showed the presence of EGFR mutations in 5.263 % of patients in exon 19. In exon 20, mutations were predominant in 25.26 % patients. While in exon 21, 8.421 % of patients had mutations. HPV, which is associated with cervical cancer development, was found in 95.78 % (HPVL1), 92.63 % (HPV16), and 3.15 % (HPV18) of patients. No correlation was found between HPV16 and EGFR mutations (p = 0.0616). Overall, mutations like V742R, Q787Q, Q849H, E866E, T854A, L858R, E872Q, and E688Q were found. Next, impact of TKI inhibitor (gefitinib) was checked with respect to presence or absence of mutation considering Q787Q mutation in exon 20 (G/A genotype) which is present in 25.2 % patients. Mutated cervical cancer cell lines showed higher sensitivity to gefitinib. Overall, this study suggests the importance of mutations in EGFR gene and indicates their relevance with respect to TKIs treatment in Indian cervical cancer patients.

Indexed as

AdultAgedAntineoplastic AgentsCell Line, TumorDNA Mutational AnalysisErbB ReceptorsExonsFemaleGefitinibHeLa CellsHuman papillomavirus 16Human papillomavirus 18HumansIndiaMiddle AgedMutationAntineoplastic AgentsEGFR protein, humanErbB ReceptorsGefitinibProtein Kinase InhibitorsQuinazolinesCorrelationEGFRHPV16Mutation

Identifiers

PMID26762413
OpenAlexW2235528820

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.