Literature DB >> 32615813

Prognostic performance of proteomic testing in advanced non-small cell lung cancer: a systematic literature review and meta-analysis.

Ticiana A Leal1, Angela C Argento2, Krish Bhadra3, D Kyle Hogarth4, Julia Grigorieva5, Rachel M Hartfield5, Robert C McDonald6, Philip D Bonomi7.   

Abstract

OBJECTIVE: Timely assessment of patient-specific prognosis is critical to oncology care involving a shared decision-making approach, but clinical prognostic factors traditionally used in NSCLC have limitations. We examine a proteomic test to address these limitations.
METHODS: This study examines the prognostic performance of the VeriStrat blood-based proteomic test that measures the inflammatory disease state of patients with advanced NSCLC. A systematic literature review (SLR) was performed, yielding cohorts in which the hazard ratio (HR) was reported for overall survival (OS) of patients with VeriStrat Poor (VSPoor) test results versus VeriStrat Good (VSGood). A study-level meta-analysis of OS HRs was performed in subgroups defined by lines of therapy and treatment regimens.
RESULTS: Twenty-four cohorts met SLR criteria. Meta-analyses in five subgroups (first-line platinum-based chemotherapy, second-line single-agent chemotherapy, first-line EGFR-tyrosine kinase inhibitor (TKI) therapy, and second- and higher-line TKI therapy, and best supportive care) resulted in statistically significant (p ≤ .001) summary effect sizes for OS HRs of 0.42, 0.54, 0.41, 0.52, and 0.50, respectively, indicating increased OS by about two-fold for patients who test VSGood. No significant heterogeneity was seen in any subgroup (p > .05).
CONCLUSIONS: Advanced NSCLC patients classified VSGood have significantly longer OS than those classified VSPoor. The summary effect size for OS HRs around 0.4-0.5 indicates that the expected median survival of those with a VSGood classification is approximately 2-2.5 times as long as those with VSPoor. The robust prognostic performance of the VeriStrat test across various lines of therapy and treatment regimens has clinical implications for treatment shared decision-making and potential for novel treatment strategies.

Entities:  

Keywords:  Meta-analysis; NSCLC; VeriStrat; prognosis; proteomic test

Mesh:

Substances:

Year:  2020        PMID: 32615813     DOI: 10.1080/03007995.2020.1790346

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  3 in total

1.  Explaining multivariate molecular diagnostic tests via Shapley values.

Authors:  Joanna Roder; Laura Maguire; Robert Georgantas; Heinrich Roder
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-08       Impact factor: 2.796

2.  Real-world performance of blood-based proteomic profiling in first-line immunotherapy treatment in advanced stage non-small cell lung cancer.

Authors:  Patricia Rich; R Brian Mitchell; Eric Schaefer; Paul R Walker; John W Dubay; Jason Boyd; David Oubre; Ray Page; Mazen Khalil; Suman Sinha; Scott Boniol; Hafez Halawani; Edgardo S Santos; Warren Brenner; James M Orsini; Emily Pauli; Jonathan Goldberg; Andrea Veatch; Mitchell Haut; Bassam Ghabach; Savita Bidyasar; Maria Quejada; Waseemullah Khan; Kan Huang; Linda Traylor; Wallace Akerley
Journal:  J Immunother Cancer       Date:  2021-10       Impact factor: 13.751

Review 3.  Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy.

Authors:  Yeonggyeong Park; Min Jeong Kim; Yoonhee Choi; Na Hyun Kim; Leeseul Kim; Seung Pyo Daniel Hong; Hyung-Gyo Cho; Emma Yu; Young Kwang Chae
Journal:  J Immunother Cancer       Date:  2022-03       Impact factor: 12.469

  3 in total

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