Evidence map›Paper›PMID 40338219›Full record

ArticleThe oncologist2025

A rising tide lifts all boats in the personalized cancer care continuum for mNSCLC: bridging inequities in NGS fosters equity in targeted treatment.

Victor T G Lin, Esprit Ma, Neha Jain, Zhiyu Xia, Danny Sheinson, Elaine Yu, Davey Daniel, Richard S P Huang, Gregory Vidal, Richard Lewis Martin and 2 more

Abstract read
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Victor T G LinMary Bird Perkins Cancer Center, Baton Rouge, LA 70809, United States.ORCID 0000-0003-3311-1308
Esprit MaGenentech, Inc., South San Francisco, CA 94080, United States.
Neha JainOneOncology LLC, Nashville, TN, United States.
Zhiyu XiaGenentech, Inc., South San Francisco, CA 94080, United States.
Danny SheinsonGenentech, Inc., South San Francisco, CA 94080, United States.
Elaine YuGenentech, Inc., South San Francisco, CA 94080, United States.
Davey DanielTennessee Oncology, Nashville, TN 37219, United States.
Richard S P HuangFoundation Medicine, Inc., Boston, MA 02210, United States.
Gregory VidalWest Cancer Center and Research Institute, Memphis, TN 38104, United States.
Richard Lewis MartinGenentech, Inc., South San Francisco, CA 94080, United States.
Richard ZunigaNew York Cancer and Blood Specialists, Port Jefferson Station, NY 11776, United States.
Thomas StrickerTennessee Oncology, Nashville, TN 37219, United States.

Funding

Genentech, Inc
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) testing in patients with metastatic non-small cell lung cancer (mNSCLC) identifies actionable driver oncogenes (ADO) and targeted treatment (TT). Potential inequities were evaluated in NGS testing and TT in patients with mNSCLC. PATIENTS AND

methodsThis retrospective study used a nationwide electronic health record-derived deidentified database for patients ≥18 years diagnosed with mNSCLC between 4/2018 and 4/2024, ≥2 recorded visits, and follow-up ≥90 days post diagnosis. For TT, patients must have received NGS testing before first-line (1L) treatment and harbored ≥1 1L ADO.

resultsA total of 15 392 patients with mNSCLC were included: 66% with commercial insurance, 16% with Medicare, 12% with other, 4% with Medicaid, and 3% with other government insurance. Patients with commercial insurance had significantly higher odds of receiving NGS testing vs Medicare, Medicaid, or other insurance. While patient characteristics varied across insurances, the effect of insurance type on NGS testing did not differ by race/ethnicity, age, or socioeconomic status (SES). Site of care was a significant effect modifier, with increased odds of NGS testing for community vs academic settings for commercial, Medicare, and other insurance and decreased odds for Medicaid. When all patients received NGS testing, significantly lower odds of receiving TT occurred for patients with SES 2 vs SES 1 (lowest); higher odds occurred for Asian vs white patients.

conclusionInsurance is a key contributor to inequity in NGS testing. When all patients received NGS testing, equity was achieved in patients receiving TT, except those with lower SES, who potentially did not qualify for Medicaid.

Indexed as

Carcinoma, Non-Small-Cell LungHealthcare DisparitiesHigh-Throughput Nucleotide SequencingLung NeoplasmsPrecision MedicineAdultAgedFemaleHumansMaleMiddle AgedMolecular Targeted TherapyRetrospective StudiesUnited Stateshealth equityinsurancenext-generation sequencing

Identifiers

PMID40338219
PMCPMC12060717

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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.