Evidence map›Paper›PMID 36108261›Full record

ArticleJCO precision oncology2022

Transcriptomics in Tumor and Normal Lung Tissues Identify Patients With Early-Stage Non-Small-Cell Lung Cancer With High Risk of Postsurgery Recurrence Who May Benefit From Adjuvant Therapies.

Vladimir Lazar, Nicolas Girard, Eric Raymond, Jean-François Martini, Susan Galbraith, Jacques Raynaud, Catherine Bresson, Benjamin Solomon, Shai Magidi, Hovav Nechushtan and 20 more

Open access · hybridAbstract read
In one paragraph

Article in JCO precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

30 authors at 20 institutions in 13 countries.

Vladimir LazarWorldwide Innovative Network-WIN Consortium, Villejuif, France.ORCID 0000-0003-2375-1088
Nicolas GirardInstitut Curie, Paris, France.
Eric RaymondGroupe Hospitalier Saint-Joseph, Paris, France.
Jean-François MartiniPfizer Inc, San Diego, CA.ORCID 0000-0001-8570-1401
Susan GalbraithAstraZeneca Plc, Cambridge, United Kingdom.
Jacques RaynaudWorldwide Innovative Network-WIN Consortium, Villejuif, France.ORCID 0000-0002-9854-8124
Catherine BressonWorldwide Innovative Network-WIN Consortium, Villejuif, France.ORCID 0000-0002-7523-849X
Benjamin SolomonAvera Cancer Institute, Sioux Falls, SD.ORCID 0000-0002-6014-1775
Shai MagidiWorldwide Innovative Network-WIN Consortium, Villejuif, France.
Hovav NechushtanHadassah Sharett Institute of Oncology, Jerusalem, Israel.
Amir OnnSheba Medical Center, Tel-Hashomer, Israel.ORCID 0000-0002-6602-0405
Raanan BergerSheba Medical Center, Tel-Hashomer, Israel.
Haiquan ChenFudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0001-7846-257X
Amal Al-OmariKing Hussein Cancer Center, Amman, Jordan.ORCID 0000-0001-7571-3097
Sadakatsu IkedaTokyo Medical and Dental University, Tokyo, Japan.
Ulrik LassenRigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-3865-4574
Marina SekachevaSechenov First State Medical University, Moscow, Russia.
Enriqueta FelipVall d'Hebron Hospital Campus and Institute of Oncology (VHIO), UVic-UCC, Barcelona, Spain.ORCID 0000-0002-7620-0098
Josep TaberneroVall d'Hebron Hospital Campus and Institute of Oncology (VHIO), UVic-UCC, Barcelona, Spain.ORCID 0000-0002-2495-8139
Gerald BatistSegal Cancer Center, Jewish General Hospital, McGill University, Montréal, Canada.
Alan SpatzSegal Cancer Center, Jewish General Hospital, McGill University, Montréal, Canada.ORCID 0000-0003-3020-1420
C S PrameshTata Memorial Hospital, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, India.ORCID 0000-0002-3635-0083
Philippe GirardInstitut Mutualiste Montsouris, Paris, France.ORCID 0000-0002-1559-8055
Jean-Yves BlayCenter Leon-Bérard, Lyon, France.ORCID 0000-0001-7190-120X
Thierry PhilipPfizer Inc, San Diego, CA.
Ioana Berindan-NeagoeIuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0001-5828-1325
Angel PorgadorBen-Gurion University of the Negev, Be'er Sheva, Israel.
Eitan RubinBen-Gurion University of the Negev, Be'er Sheva, Israel.ORCID 0000-0002-7807-4005
Razelle KurzrockWorldwide Innovative Network-WIN Consortium, Villejuif, France.ORCID 0000-0003-4110-1214
Richard L SchilskyWorldwide Innovative Network-WIN Consortium, Villejuif, France.ORCID 0000-0003-4474-4303
Worldwide Universities Network · GBBen-Gurion University of the Negev · ILJewish General Hospital · CAPfizer (United States) · USSheba Medical Center · ILUniversitat de Vic - Universitat Central de Catalunya · ESAstraZeneca (United Kingdom) · GBAvera Health · USCentre Léon Bérard · FRFudan University Shanghai Cancer Center · CNHadassah Medical Center · ILHomi Bhabha National Institute · INHôpital Paris Saint-Joseph · FRInstitut du Thorax · FRInstitute Mutualiste Montsouris · FRIuliu Hațieganu University of Medicine and Pharmacy · ROKing Hussein Cancer Center · JORigshospitalet · DKSechenov University · RUTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe prognosis of patients with non-small-cell lung cancer (NSCLC), traditionally determined by anatomic histology and TNM staging, neglects the biological features of the tumor that may be important in determining patient outcome and guiding therapeutic interventions. Identifying patients with NSCLC at increased risk of recurrence after curative-intent surgery remains an important unmet need so that known effective adjuvant treatments can be offered to those at highest risk of recurrence.

methodsRelative gene expression level in the primary tumor and normal bronchial tissues was used to retrospectively assess their association with disease-free survival (DFS) in a cohort of 120 patients with NSCLC who underwent curative-intent surgery.

resultsLow versus high Digital Display Precision Predictor (DDPP) score (a measure of relative gene expression) was significantly associated with shorter DFS (highest recurrence risk;

conclusionTNM stage, DDPP score, and immune competence status of normal lung are independent prognostic factors in multivariate analysis. Our findings open new avenues for prospective prognostic assessment and treatment assignment on the basis of transcriptomic profiling of tumor and normal lung tissue in patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSmall Cell Lung CarcinomaB7-H1 AntigenCTLA-4 AntigenHumansLungProspective StudiesRetrospective StudiesTranscriptomeB7-H1 AntigenCTLA-4 Antigen

Identifiers

PMID36108261
PMCPMC9489166
OpenAlexW4295957335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.