Evidence map›Paper›PMID 33247670›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Measurement of Serum EGFR mRNA Expression is a Reliable Predictor of Treatment Response and Survival Outcomes in Non- Small Cell Lung Cancer.

Anant Mohan, Ashraf Ansari, Mirza Masroor, Alpana Saxena, R M Pandey, Ashish Upadhyay, Kalpana Luthra, G C Khilnani, Deepali Jain, Rakesh Kumar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  2. Article
  3. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    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

11 authors at 2 institutions in 1 country.

Anant MohanDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000000223839437
Ashraf AnsariDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.
Mirza MasroorDepartment of Biochemistry, Maulana Azad Medical College, New Delhi, India.
Alpana SaxenaDepartment of Biochemistry, Maulana Azad Medical College, New Delhi, India.
R M PandeyDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi.
Ashish UpadhyayDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi.
Kalpana LuthraDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi.
G C KhilnaniDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.
Deepali JainDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, India.
Rakesh KumarDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
Randeep GuleriaDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INMaulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEGFR over-expression plays a key role in the development and progression of lung cancer. However, its status as a prognostic biomarker for survival outcomes is unclear.

objectivesTo evaluate the prognostic utility of serum EGFR mRNA expression in Non-Small cell lung cancer (NSCLC) for treatment response and survival.

methodsEGFR mRNA levels were determined in serum using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). Based on ROC curve, a cut off value of 16.0-fold increase was selected to categorize patients into low EGFR (≤ 16.0) and high EGFR (> 16.0) groups.

resultsA total of 350 subjects were included (78.3% males), with mean (± SD) age of 57.1 (± 11.2) years, and including 247 (70.6%) adenocarcinoma (ADC). Majority (73.1%) had metastatic (stage IV) disease. Patients had higher pre-treatment serum EGFR mRNA levels than controls [median fold-increase (min, max), 16.2 (1.9, 66.7). Serum EGFR mRNA levels significantly reduced in those who achieved objective response and disease control. Significantly longer OS and PFS was observed in subjects having baseline EGFR mRNA expression ≤ 16.0 fold- increase compared to those with > 16.0 fold- increase [median (95% CI) OS: 25.0 (14.9, NR) versus 7.7 (6.3, 8.9) months; HR (95% CI) 2.9 (2.3, 4.0), p < 0.001; and PFS: 9.9 (7.1, 11.5) versus 6.0 (4.1, 7.5) months; HR (95% CI) 1.8 (1.3, 2.4), p < 0.001].

conclusionSerum EGFR mRNA expression is a useful parameter for predicting treatment response and survival outcomes in NSCLC.

Indexed as

MutationAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesChemoradiotherapyErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPrognosisRNA, MessengerBiomarkers, TumorEGFR protein, humanErbB ReceptorsRNA, MessengerEGFR expressionLung cancersurvival

Identifiers

PMID33247670
PMCPMC8033130
OpenAlexW3109082166

What OpenQuestion holds

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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.