Evidence map›Paper›PMID 42324446›Full record

ArticleOncology and therapy2026

Real-World Actionability Analysis of Comprehensive Genomic Profiling Versus Single/Small-Gene Panels.

Paul Spin, Bela Bapat, Chad Moretz, Robert Dumanois, Adrienne M Gilligan, Mostafa Shokoohi, Emily Borgundvaag, John Fox, Carlo Bifulco, David Bartlett

Abstract read
In one paragraph

Article in Oncology and therapy, 2026. 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

10 authors.

Paul SpinEVERSANA™, 1212-1175 Douglas Street, Victoria, BC, V8W2E1, Canada. paul.spin@eversana.com.ORCID http://orcid.org/0000-0001-9934-3860
Bela Bapat, 5200 Illumina Way, San Diego, CA, 92122, USA.
Chad MoretzBaylor Genetics, Houston, TX, USA.
Robert DumanoisThermo Fisher Scientific, 180 Oyster Point Blvd., South SF, CA, 94080, USA.
Adrienne M GilliganEli Lilly and Company, 893 South Delaware St., Indianapolis, IN, 46225, USA.
Mostafa ShokoohiEVERSANA™, 1212-1175 Douglas Street, Victoria, BC, V8W2E1, Canada.
Emily BorgundvaagEVERSANA™, 1212-1175 Douglas Street, Victoria, BC, V8W2E1, Canada.
John Fox, 5200 Illumina Way, San Diego, CA, 92122, USA.
Carlo BifulcoProvidence Health, 4805 NE Glisan St., Ste 2N35, Portland, OR, 97213, USA.
David BartlettSurgical Oncology, Allegheny Health Network Cancer Institute, 320 E, North Ave., Pittsburgh, PA, 15212, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComprehensive genomic profiling (CGP) enables identification of patients eligible for targeted treatments, making it essential in the management of advanced cancer. This retrospective real-world study compared actionable mutations in CGP-tested patients with advanced/metastatic solid tumors to those who received single-gene/small-panel (SP) tests.

methodsPatients aged > 18 years with advanced/metastatic solid tumors (including non-small cell lung cancer (NSCLC), colorectal cancer, prostate cancer, breast cancer, or melanoma) with a CGP or SP test reported between 1 January 2018, and 31 December 2022, were included. OncoKB-derived actionability was compared between the two cohorts. Inverse probability of treatment weighting (IPTW) was used to adjust for baseline characteristics. A weighted generalized linear model with log link was used to report actionability ratio (AR) and 95% confidence intervals (CI).

resultsAmong 406 patients (CGP-tested cohort: 202, SP-tested cohort: 204), approximately half were diagnosed with NSCLC. After adjusting for baseline characteristics, CGP testing detected more actionable alterations than SP: OncoKB level 1 (50.0% versus 31.4%; AR 1.76 [95% CI: 1.24, 2.51]; p = 0.002), OncoKB level 2 (22.8% versus 10.3%; AR 2.53 [95% CI: 1.17, 5.48]; p = 0.018), and OncoKB level 1 or level 2 or level R1 (55.9% versus 41.2%; AR 1.5 [95% CI: 1.11, 2.01]; p = 0.008).

conclusionsCGP testing identified more actionable genetic alterations compared with SP testing methods for patients with advanced/metastatic NSCLC, colorectal cancer, prostate cancer, breast cancer, or melanoma. Expanding reimbursement and coverage for CGP testing as well as expanding CGP use can facilitate equitable treatment access for patients with advanced/metastatic cancer.

Indexed as

Actionable mutationsAdvanced tumorsComprehensive genomic profilingSingle-gene testingSmall-panel testing

Identifiers

PMID42324446
PMCPMC13575034

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.