Evidence map›Paper›PMID 41152458›Full record

ArticleNPJ precision oncology2025

Diversity of BRAF mutations in non-small cell lung cancer and implications on treatment.

Kevin Lu, John Paul Shen, Fernando J Lopez-Diaz, Alessandro Leal, Isa Mambetsariev, Kaushal Parikh, Antonious Hazim, Brian D Woodward, Abhinav Madduri, Faisal Khurshid and 6 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Kevin Lu *UC San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0009-0004-4793-9928
John Paul Shen *MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-4588-2775
Fernando J Lopez-Diaz *CEPIMP Genomics, Córdoba, AR, USA.
Alessandro LealNYU Langone, New York, NY, USA.
Isa MambetsarievCity of Hope, Duarte, CA, USA.
Kaushal ParikhMayo Clinic, Rochester, MN, USA.
Antonious HazimMayo Clinic, Rochester, MN, USA.
Brian D WoodwardUC San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-8842-3654
Abhinav MadduriMD Anderson Cancer Center, Houston, TX, USA.
Faisal KhurshidUC San Diego, La Jolla, CA, USA.
Jeremy FrickeCity of Hope, Duarte, CA, USA.
Vamsidhar VelchetiNYU Langone, New York, NY, USA.
Jonathan W RiessMayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-7370-7304
Aaron S MansfieldCity of Hope, Duarte, CA, USA.ORCID http://orcid.org/0000-0002-9483-6903
Ravi SalgiaUC Davis, Sacramento, CA, USA.ORCID http://orcid.org/0000-0001-9643-7626
Hatim HusainUC San Diego, La Jolla, CA, USA. hhusain@ucsd.edu.ORCID http://orcid.org/0000-0003-4228-0963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal treatment sequence in non-small cell lung cancer harboring class I BRAF mutations and atypical BRAF variants remains unclear. To better characterize therapeutic strategy, we retrospectively evaluated a multi-institutional cohort of BRAF-mutant NSCLC patients (n = 97) and an independent clinico-genomic database (n = 342), performed structural modeling, and conducted chemical screens of BRAF-mutant cell lines. Patients with class I BRAF mutation treated with BRAF-MEK inhibitors at any line of therapy had significantly greater median overall survival compared to those who did not receive BRAF-MEK inhibitors (40 vs 10 months, Log-rank p = 0.043). There, however, was no significant survival difference between patients treated with immune checkpoint inhibitors versus those not treated. Tumors with class II or III BRAF variants were significantly more likely to harbor concurrent MAPK pathway alterations relative to class I (Chi-Square p < 10

Identifiers

PMID41152458
PMCPMC12568928

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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.