Evidence map›Paper›PMID 29566065›Full record

ArticlePloS one2018

Molecular prediction of adjuvant cisplatin efficacy in Non-Small Cell Lung Cancer (NSCLC)-validation in two independent cohorts.

Ida Kappel Buhl, Eric Santoni-Rugiu, Jesper Ravn, Anker Hansen, Ib Jarle Christensen, Thomas Jensen, Bruce Pratt, Jon Askaa, Peter Buhl Jensen, Steen Knudsen and 1 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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 4 institutions in 1 country.

Ida Kappel BuhlMedical Prognosis Institute A/S, Hoersholm, Denmark.ORCID 0000-0003-3299-1358
Eric Santoni-RugiuDepartment of Pathology, Copenhagen University Hospital, Rigshospitalet, Denmark.
Jesper RavnDepartment of Thoracic Surgery, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Anker HansenMedical Prognosis Institute A/S, Hoersholm, Denmark.
Ib Jarle ChristensenDepartment of Gastroenterology, Hvidovre Hospital, Hvidovre, Denmark.
Thomas JensenMedical Prognosis Institute A/S, Hoersholm, Denmark.
Bruce PrattOncology Venture Aps, Hoersholm, Denmark.
Jon AskaaMedical Prognosis Institute A/S, Hoersholm, Denmark.
Peter Buhl JensenMedical Prognosis Institute A/S, Hoersholm, Denmark.
Steen KnudsenMedical Prognosis Institute A/S, Hoersholm, Denmark.
Jens Benn SørensenDepartment of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Medical Prognosis Institute (Denmark) · DKCopenhagen University Hospital · DKHvidovre Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective predictive biomarkers for selection of patients benefiting from adjuvant platinum-based chemotherapy in non-small cell lung cancer (NSCLC) are needed. Based on a previously validated methodology, molecular profiles of predicted sensitivity in two patient cohorts are presented.

methodsThe profiles are correlations between in vitro sensitivity to cisplatin and vinorelbine and baseline mRNA expression of the 60 cell lines in the National Cancer Institute panel. An applied clinical samples filter focused the profiles to clinically relevant genes. The profiles were tested on 1) snap-frozen tumors from 133 patients with completely resected stage 1B-2 NSCLC randomized to adjuvant cisplatin and vinorelbine (ACV, n = 71) or no adjuvant treatment (OBS, n = 62) and 2) formalin-fixed paraffin-embedded (FFPE) tumors from 95 patients with completely resected stage 1A-3B NSCLC receiving adjuvant cisplatin and vinorelbine.

resultsThe combined cisplatin and vinorelbine profiles showed: 1) univariate Hazard Ratio (HR) for sensitive versus resistant of 0.265 (95% CI:0.079-0.889, p = 0.032) in the ACV cohort and a HR of 0.28 in a multivariate model (95% CI:0.08-1.04, p = 0.0573); 2) significant prediction at 3 year survival from surgery in univariate (HR = 0.138 (95% CI:0.035-0.537), p = 0.004) and multivariate analysis (HR = 0.14 (95% CI:0.030-0.6), p = 0.0081). No discrimination was found in the OBS cohort (HR = 1.328, p = 0.60). The cisplatin predictor alone had similar figures with 1) univariate HR of 0.37 (95% CI:0.12-1.15, p = 0.09) in the ACV cohort and 2) univariate HR of 0.14 (95% CI:0.03-0.59, p = 0.0076) to three years. Functional analysis on the cisplatin profile revealed a group of upregulated genes related to RNA splicing as a part of DNA damage repair and apoptosis.

conclusionsProfiles derived from snap-frozen and FFPE NSCLC tissue were prognostic and predictive in the patients that received cisplatin and vinorelbine but not in the cohort that did not receive adjuvant treatment.

Indexed as

TranscriptomeAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorChemotherapy, AdjuvantCisplatinCohort StudiesDatasets as TopicFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsBiomarkers, TumorCisplatin

Identifiers

PMID29566065
PMCPMC5864030
OpenAlexW2790172346

What OpenQuestion holds

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LicenceCC BY
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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.