Evidence map›Paper›PMID 38074293›Full record

ArticleJournal of mass spectrometry and advances in the clinical lab2023

Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance.

Matthew A Koc, Timothy Aaron Wiles, Daniel C Weinhold, Steven Rightmyer, Amanda L Weaver, Colin T McDowell, Joanna Roder, Senait Asmellash, Gary A Pestano, Heinrich Roder and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of mass spectrometry and advances in the clinical lab, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03289780 (An Observational Study Assessing the Clinical Effectiveness of VeriStrat and Validating Immunotherapy Tests in Subjects With Non-Small Cell Lung Cancer), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT03289780 active not recruitingnot on this map

An Observational Study Assessing the Clinical Effectiveness of VeriStrat and Validating Immunotherapy Tests in Subjects With Non-Small Cell Lung Cancer

TypeobservationalSponsorBiodesix, Inc.Ran2016 to 2025Enrolled5,006ConditionsNon-Small Cell Lung Cancer
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
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  5. Review
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

11 authors.

Matthew A KocBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Timothy Aaron WilesBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Daniel C WeinholdBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Steven RightmyerBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Amanda L WeaverBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Colin T McDowellBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Joanna RoderBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Senait AsmellashBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Gary A PestanoBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Heinrich RoderBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.
Robert W Georgantas IiiBiodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The VeriStrat® test (VS) is a blood-based assay that predicts a patient's response to therapy by analyzing eight features in a spectrum obtained from matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) analysis of human serum and plasma. In a recent analysis of the INSIGHT clinical trial (NCT03289780), it was found that the VS labels, VS Good and VS Poor, can effectively predict the responsiveness of non-small cell lung cancer (NSCLC) patients to immune checkpoint inhibitor (ICI) therapy. However, while VS measures the intensities of spectral features using MALDI-TOF analysis, the specific proteoforms underlying these features have not been comprehensively identified. Objectives: The objective of this study was to identify the proteoforms that are measured by VS. Methods: To resolve the features obtained from the low-resolution MALDI-TOF procedure used to acquire mass spectra for VS DeepMALDI® analysis of serum was employed. This technique allowed for the identification of finer peaks within these features. Additionally, a combination of reversed-phase fractionation and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was then used to identify the proteoforms associated with these peaks. Results: The analysis revealed that the primary constituents of the spectrum measured by VS are serum amyloid A1, serum amyloid A2, serum amyloid A4, C-reactive protein, and beta-2 microglobulin. Conclusion: Proteoforms involved in host immunity were identified as significant components of these features. This newly acquired information improves our understanding of how VS can accurately predict patient response to therapy. It opens up additional studies that can expand our understanding even further.

Indexed as

ImmunotherapyMALDIMass spectrometryPrognosticTop-down proteomics

Identifiers

PMID38074293
PMCPMC10709509

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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.