Evidence map›Paper›PMID 39235550›Full record

ReviewFamilial cancer2024

A dual biomarker in non-small cell lung cancer that predicts Li Fraumeni syndrome : Lung cancer and Li Fraumeni.

Steven Sorscher

Abstract readReview
PubMed Publisher
In one paragraph

Review in Familial cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Steven SorscherNot currently affiliated with any institution or company, Winston-Salem, NC, 27104, USA. ssorscher1@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer is the most common cause of cancer death globally. When apparent incidental pathogenic germline variants (PGVs) are uncovered with routine next generation sequencing (NGS) of NSCLCs, germline testing (GT) is recommended to confirm that PGV. Because it is far more common that an uncovered tumor TP53 variant is related to a somatic event than an incidental PGV, however, GT for Li Fraumeni syndrome (LFS) is not recommended based solely on uncovering a NSCLC TP53 variant. Because nearly all tumor EGFR variants are also somatic in origin, GT is not recommended based solely on uncovering a tumor EGFR variant.However, there is evidence that patients with coexisting NSCLC variants in both EGFR and TP53 have significant likelihoods of having LFS. For patients with LFS, there are recommended measures for prevention and early detection of LFS-associated cancers and cascade GT of relatives for LFS. Although co-existing genetic variants in NSCLC are not currently used as a biomarker for GT to identify patients with PGVs, given the evidence reviewed here, select patients with NSCLCs that harbor this dual biomarker (i.e., co-existing TP53/EGFR variants) might reasonably be considered for GT for LFS.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungGerm-Line MutationLi-Fraumeni SyndromeLung NeoplasmsTumor Suppressor Protein p53ErbB ReceptorsGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorEGFR protein, humanErbB ReceptorsTP53 protein, humanTumor Suppressor Protein p53Co-existing biomarkersDual biomarkersEGFRLi Fraumeni syndromePathogenic germline variantsTP53

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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.