Evidence map›Paper›PMID 37099232›Full record

ArticleMolecular biology reports2023

An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients.

Jigna Joshi, Apexa Pandit, Bhoomi Tarapara, Hitarth Patel, Hunayna Bhavnagari, Harsha Panchal, Franky D Shah

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Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jigna Joshi *Molecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India.
Apexa Pandit *Molecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India.
Bhoomi TaraparaMolecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India.
Hitarth PatelMolecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India.
Hunayna BhavnagariMolecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India.
Harsha PanchalDepartment of Medical Oncology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, India.
Franky D ShahMolecular Diagnostic and Research Lab-3, Department of Cancer Biology, The Gujarat Cancer and Research Institute, Ahmedabad, Gujarat, 380016, India. franky.shah@gcriindia.org.ORCID http://orcid.org/0000-0002-7265-2839
Gujarat Cancer & Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients with advanced-stage lung cancer. METHODS AND

resultsA retrospective study enrolled a total of 346 patients with advanced-stage lung cancer tested for EGFR mutation. EGFR mutation was analyzed by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). Statistical analysis was performed using SPSS version 20.0. EGFR mutation was evident in 38% of patients with the highest prevalence of exon 19 deletions. A higher incidence of 19-deletions and 20-insertions were observed in young patients, while a higher incidence of L858R was noted in old age patients. Patients with de-novo T790M failed to improve their OS by any of the treatment modalities. Patients with de-novo T790M mutation have a higher risk of developing lung, liver, and multiple site metastases while patients with L858R mutation have a higher risk of developing brain metastasis. Additionally, patients with 19 deletion mutation did not improve their OS after receiving conventional chemotherapy hence, they demonstrate better survival only after EGFR-TKIs. Multivariate survival analysis predicted chemotherapy as an independent predictor of OS.

conclusionBesides clinicopathological and prognostic consequences of EGFR mutation and mutation subtypes, patients harboring TKI sensitive, or insensitive mutations reveal different secondary disease development and hence should be treated accordingly for better survival. Current findings may provide the basis for a better treatment strategy.

Indexed as

Lung NeoplasmsErbB ReceptorsHumansMutationPrognosisProtein Kinase InhibitorsRetrospective StudiesErbB ReceptorsProtein Kinase InhibitorsAdvanced-stage lung cancerClinicopathological parametersEpidermal growth factor receptor mutationMetastasisMultivariate survivalOverall survival

Identifiers

PMID37099232
OpenAlexW4367048205

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