Evidence map›Paper›PMID 36351964›Full record

ArticleScientific reports2022

Genomic analysis of early-stage lung cancer reveals a role for TP53 mutations in distant metastasis.

Debra Van Egeren, Khushi Kohli, Jeremy L Warner, Philippe L Bedard, Gregory Riely, Eva Lepisto, Deborah Schrag, Michele LeNoue-Newton, Paul Catalano, Kenneth L Kehl and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  10. Molecular Underpinnings of Brain Metastases.International journal of molecular sciences · 2025
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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

12 authors at 20 institutions in 6 countries.

Debra Van Egeren *Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Khushi Kohli *Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Jeremy L WarnerDepartment of Medicine, Vanderbilt University, Nashville, TN, USA.
Philippe L BedardDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Gregory RielyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eva LepistoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Deborah SchragDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michele LeNoue-NewtonVanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Paul CatalanoDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Kenneth L KehlDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Franziska MichorDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. michor@jimmy.harvard.edu.
AACR Project GENIE Consortium represented by Shawn Sweeney
Memorial Sloan Kettering Cancer Center · USDana-Farber Cancer Institute · USPrincess Margaret Cancer Centre · CAVanderbilt University · USThe Netherlands Cancer Institute · NLChildren's Hospital of Philadelphia · USProvidence Portland Medical Center · USUniversity of California, San Francisco · USCancer Research UK Cambridge Center · GBInstitut Gustave Roussy · FRDuke University · USAtrium Health Wake Forest Baptist · USColumbia University Irving Medical Center · USSage Bionetworks · USSidney Kimmel Comprehensive Cancer Center · USAmerican Association For Cancer Research · USVall d'Hebron Institute of Oncology · ESUniversity of Chicago · USYale Cancer Center · USMultiple Myeloma Research Foundation · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Patients with non-small cell lung cancer (NSCLC) who have distant metastases have a poor prognosis. To determine which genomic factors of the primary tumor are associated with metastasis, we analyzed data from 759 patients originally diagnosed with stage I-III NSCLC as part of the AACR Project GENIE Biopharma Collaborative consortium. We found that TP53 mutations were significantly associated with the development of new distant metastases. TP53 mutations were also more prevalent in patients with a history of smoking, suggesting that these patients may be at increased risk for distant metastasis. Our results suggest that additional investigation of the optimal management of patients with early-stage NSCLC harboring TP53 mutations at diagnosis is warranted in light of their higher likelihood of developing new distant metastases.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsGenomicsHumansMutationNeoplasm MetastasisPrognosisTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID36351964
PMCPMC9646734
OpenAlexW4308607464

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.