Evidence map›Paper›PMID 42834100›Full record

ArticleNPJ precision oncology2026

Validation of a tissue-based predictive RNA test for immunotherapy benefit in NSCLC: the PREDAPT study.

Kevin C Flanagan, Jon Earls, Jeffrey Hiken, Rachel L Wellinghoff, Michelle M Ponder, Kyle Pemberton, Orlan K Macdonald, Karim Welaya, Andrew W Pippas, Karl D'Silva and 16 more

Registry-linked trialAbstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04510129 (Predicting Immunotherapy Efficacy from Analysis of Pre-treatment Tumor Biopsies), which is not on this 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.

NCT04510129 recruitingnot on this map

Predicting Immunotherapy Efficacy from Analysis of Pre-treatment Tumor Biopsies

TypeobservationalSponsorCofactor Genomics, Inc.Ran2020 to 2027Enrolled1,650ConditionsCancer of Head and Neck, Lung Cancer, Nonsmall Cell, Small-cell Lung Cancer, Urothelial CarcinomaArmsOncoPrism™ assay
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

26 authors.

Kevin C FlanaganCofactor Genomics Inc., St. Louis, MO, USA.
Jon EarlsCofactor Genomics Inc., St. Louis, MO, USA.
Jeffrey HikenCofactor Genomics Inc., St. Louis, MO, USA.
Rachel L WellinghoffCofactor Genomics Inc., St. Louis, MO, USA.
Michelle M PonderCofactor Genomics Inc., St. Louis, MO, USA.
Kyle PembertonCofactor Genomics Inc., St. Louis, MO, USA.
Orlan K MacdonaldCancer Care Northwest, Spokane Valley, WA, USA.
Karim WelayaCoxHealth Medical Oncology, Springfield, MO, USA.
Andrew W PippasJohn B Amos Cancer Center, Columbus Regional Research Institute, Piedmont Healthcare, Columbus, GA, USA.
Karl D'SilvaLahey Hospital and Medical Center, Peabody, MA, USA.
Xingwei SuiProvidence Regional Cancer System, Lacey, WA, USA.
Warren L AlexanderWilliam Beaumont Army Medical Center and The Geneva Foundation, Fort Bliss, TX, USA.
Jennifer SlimMulticare Institute for Research and Innovation, Tacoma, WA, USA.
Steven J SaccaroOchsner Cancer Center of Acadiana at Ochsner Lafayette, Lafayette, LA, USA.
Todd D ShenkenbergValley Cancer Associates, Harlingen, TX, USA.
Samuel D BaileyAppalachian Regional Healthcare, Hazard, KY, USA.
Scott A SonnierOchsner Health Center, New Orleans, LA, USA.
Georges AzziHoly Cross Hospital Medical Group, Fort Lauderdale, FL, USA.
Bruce BankNorthwest Oncology & Hematology, Elk Grove Village, IL, USA.
Steven E KossmanSharp Clinical Oncology Research, San Diego, CA, USA.
Paul GonzalesHematology and Oncology, Brooke Army Medical Center, San Antonio, TX, USA.
James WadeDecatur Memorial Hospital, Decatur, IL, USA.
Jessica A HellyerMontrose Regional Health, Montrose, CO, USA.
Howard L McLeodUtah Tech University, St. George, UT, USA.
Eric J DuncavageDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Jarret I GlasscockCofactor Genomics Inc., St. Louis, MO, USA. jarret_glasscock@cofactorgenomics.com.

Funding

Cofactor Genomics Not Applicable
6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer mortality worldwide. Immune checkpoint inhibitors (ICI) targeting PD-1/PD-L1 have significantly improved outcomes in a subset of patients. OncoPrism, a clinical test employing a multidimensional predictive RNA-based immune biomarker, was evaluated for predicting immune checkpoint inhibitor benefit in non-small cell lung cancer (NSCLC) patients. This study evaluated OncoPrism in 1487 patients across four NSCLC cohorts: one PD-L1 inhibitor cohort (n = 195), one PD-1 inhibitor cohort (n = 89), and two non-ICI cohorts (n = 193 and n = 1010). In the PD-L1 inhibitor cohort, OncoPrism predicted progression-free survival (p < 0.0001) and overall survival (p = 0.043). In the PD-1 inhibitor cohort, an observational clinical trial, PREDAPT, enrolling patients from 17 healthcare systems, OncoPrism predicted overall response rate (p = 0.008), progression-free survival (p = 0.004), and overall survival (p = 0.011). PD-L1 Tumor Proportion Score (TPS) was not predictive of response, progression-free survival, or overall survival. OncoPrism did not predict overall survival across two non-ICI NSCLC cohorts (p = 0.54, p = 0.73), suggesting the test is specifically predictive of ICI benefit rather than being prognostic with more limited clinical utility. Overall, the data show OncoPrism high patients have two to three-fold greater overall response rate, progression-free survival, and overall survival compared to those in other OncoPrism groups. These results underscore the impact of OncoPrism to address the current unmet need for ICI response prediction in NSCLC. This trial was registered with ClinicalTrials.gov, number NCT04510129, on 10 August 2020.

Identifiers

PMID42834100
PMCPMC13638978

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.