Evidence map›Paper›PMID 26028645›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2015

Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I-IIIA.

Sandra Wallerek, Jens Benn Sørensen

Open access · diamondAbstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Standardized Uptake Values Derived fromContrast media & molecular imaging · 2018
    Pooled it
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  13. Journal of thoracic disease · 2019
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  20. Impact ofMolecular and clinical oncology · 2017
    Article
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

2 authors at 1 institution in 1 country.

Sandra WallerekDept of Oncology, Finsen Centre, Copenhagen University Hospital, Copenhagen, Denmark sandra.wallerek.01@regionh.dk.
Jens Benn SørensenDept of Oncology, Finsen Centre, Copenhagen University Hospital, Copenhagen, Denmark.
Copenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival. A literature search covering the period from 2003 to May, 2014 was conducted using PubMed and the following search terms: "non-small cell lung cancer", "NSCLC", "adjuvant chemotherapy", "randomized", "randomised", "biomarkers", "prognostic", "predictive". This review focuses on current knowledge of biomarkers for prognosis or efficacy of adjuvant treatment following complete resection in stage I-IIIA NSCLC patients. This review includes results on 18 different biomarkers and five gene profiles. A statistically significant prognostic impact was reported for: iNTR, TUBB3, RRM1, ERCC1, BRCA1, p53, MRP2, MSH2, TS, mucin, BAG-1, pERK1/2, pAkt-1, microRNA, TopIIA, 15-gene profile, 92-gene profile, 31-gene profile and 14-gene profile. A statistically significant predictive impact was reported for: ERCC1, p53, MSH2, p27, TUBB3, PARP1, ATM, 37-gene profile, 31-gene profile, 15-gene profile and 92-gene profile. Uncertainties regarding the optimal analysis method and cut-off levels for the individual markers may blur the prognostic or predictive signals. None of the possible predictive markers have been validated in prospective trials. Thus, there are no biomarkers ready to use in an adjuvant setting in NSCLC.

Indexed as

PneumonectomyAntineoplastic AgentsBiomarkers, TumorCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic TestingHumansLung NeoplasmsPatient SelectionPredictive Value of TestsRisk FactorsTime FactorsTreatment OutcomeAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID26028645
PMCPMC9487808
OpenAlexW1941558915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.