Evidence map›Paper›PMID 36613084›Full record

ArticleInternational journal of environmental research and public health2022

Mutational Analysis of EGFR Mutations in Non-Small Cell Lung Carcinoma-An Indian Perspective of 212 Patients.

Amrit Kaur Kaler, Khushi Patel, Harshali Patil, Yash Tiwarekar, Bijal Kulkarni, Meenal Hastak, Nivetha Athikari, Samrudhi Rane, Ankita Nikam, Smita Umarji and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

13 authors.

Amrit Kaur KalerDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Khushi PatelDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Harshali PatilDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Yash TiwarekarDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Bijal KulkarniDepartment of Pathology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Meenal HastakDepartment of Pathology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Nivetha AthikariDepartment of Pathology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Samrudhi RaneDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Ankita NikamDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Smita UmarjiDepartment of Molecular Pathology and Genomics, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Imran ShaikhDepartment of Oncology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Sandeep GoyleDepartment of Oncology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.
Rajesh MistryDepartment of Oncology, Kokilaben Dhirubhai Ambani Hospital, Mumbai 400053, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the world's leading cause of cancer-related deaths. Epidermal growth factor receptor (EGFR) is one of the critical oncogenes and plays a significant role in tumor proliferation and metastasis. Patients with sensitizing mutations in the EGFR gene have better clinical outcomes when treated with tyrosine kinase inhibitors (TKI). This study expands our knowledge of the spectrum of EGFR mutations among lung cancer patients in the Indian scenario. This is a retrospective descriptive study of all newly diagnosed patients with lung cancer in tertiary care hospital in India. All the samples were subjected to real-time PCR (q-PCR) analysis and confirmation of rare novel mutations was done using Sanger sequencing. Clinicopathological characteristics, mutational EGFR status, and location on the exon and metastatic sites were evaluated. An analysis of total 212 samples showed mutations in 38.67% of cases. Among these, five (5.9%) samples had mutations in exon 18, 41 (48.8%) samples had mutations in exon 19, 12 (14.28%) samples had mutations in exon 20, and 26 (30.95%) samples had mutations in exon 21. Eleven (13.41%) were found to be uncommon EGFR mutations. Additionally, six (21.4%) samples that had EGFR mutations were also positive for brain metastasis. Future testing on bigger panels will help to characterize the incidence of genetic mutations and to determine the appropriate targeted treatment choices for NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsErbB ReceptorsHumansMutationReal-Time Polymerase Chain ReactionRetrospective StudiesEGFR protein, humanErbB Receptorsadenosquamous carcinomasEGFRexonslarge cell carcinomametastasisnon-small cell lung carcinomapathogenicitysarcomatoid carcinomassquamous cell carcinomas

Identifiers

PMID36613084
PMCPMC9819110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.