A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.
Details
Serval ID
serval:BIB_A5634E69CE22
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.
Journal
EBioMedicine
ISSN
2352-3964 (Electronic)
ISSN-L
2352-3964
Publication state
Published
Issued date
07/2021
Peer-reviewed
Oui
Volume
69
Pages
103481
Language
english
Notes
Publication types: Journal Article ; Validation Study
Publication Status: ppublish
Publication Status: ppublish
Abstract
We developed and validated a prognostic and predictive computational pathology risk score (CoRiS) using H&E stained tissue images from patients with early-stage non-small cell lung cancer (ES-NSCLC).
1330 patients with ES-NSCLC were acquired from 3 independent sources and divided into four cohorts D <sub>1-4</sub> . D <sub>1</sub> comprised 100 surgery treated patients and was used to identify prognostic features via an elastic-net Cox model to predict overall and disease-free survival. CoRiS was constructed using the Cox model coefficients for the top features. The prognostic performance of CoRiS was evaluated on D <sub>2</sub> (N=331), D <sub>3</sub> (N=657) and D <sub>4</sub> (N=242). Patients from D <sub>2</sub> and D <sub>3</sub> which comprised surgery + chemotherapy were used to validate CoRiS as predictive of added benefit to adjuvant chemotherapy (ACT) by comparing survival between different CoRiS defined risk groups.
CoRiS was found to be prognostic on univariable analysis, D <sub>2</sub> (hazard ratio (HR) = 1.41, adjusted (adj.) P = .01) and D <sub>3</sub> (HR = 1.35, adj. P < .001). Multivariable analysis showed CoRiS was independently prognostic, D <sub>2</sub> (HR = 1.41, adj. P < .001) and D <sub>3</sub> (HR = 1.35, adj. P < .001), after adjusting for clinico-pathologic factors. CoRiS was also able to identify high-risk patients who derived survival benefit from ACT D <sub>2</sub> (HR = 0.42, adj. P = .006) and D <sub>3</sub> (HR = 0.46, adj. P = .08).
CoRiS is a tissue non-destructive, quantitative and low-cost tool that could potentially help guide management of ES-NSCLC patients.
Data collection, anlaysis, and computation resources of the research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award numbers: 1U24CA199374-01, R01CA202752-01A1, R01CA208236-01A1, R01 CA216579-01A1, R01 CA220581-01A1, 1U01 CA239055-01. National Center for Research Resources under award number 1 C06 RR12463-01. VA Merit Review Award IBX004121A from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service, the DOD Prostate Cancer Idea Development Award (W81XWH-15-1-0558), the DOD Lung Cancer Investigator-Initiated Translational Research Award (W81XWH-18-1-0440), the DOD Peer Reviewed Cancer Research Program (W81XWH-16-1-0329), the Ohio Third Frontier Technology Validation Fund, the Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering and the Clinical and Translational Science Award Program (CTSA) at Case Western Reserve University.
1330 patients with ES-NSCLC were acquired from 3 independent sources and divided into four cohorts D <sub>1-4</sub> . D <sub>1</sub> comprised 100 surgery treated patients and was used to identify prognostic features via an elastic-net Cox model to predict overall and disease-free survival. CoRiS was constructed using the Cox model coefficients for the top features. The prognostic performance of CoRiS was evaluated on D <sub>2</sub> (N=331), D <sub>3</sub> (N=657) and D <sub>4</sub> (N=242). Patients from D <sub>2</sub> and D <sub>3</sub> which comprised surgery + chemotherapy were used to validate CoRiS as predictive of added benefit to adjuvant chemotherapy (ACT) by comparing survival between different CoRiS defined risk groups.
CoRiS was found to be prognostic on univariable analysis, D <sub>2</sub> (hazard ratio (HR) = 1.41, adjusted (adj.) P = .01) and D <sub>3</sub> (HR = 1.35, adj. P < .001). Multivariable analysis showed CoRiS was independently prognostic, D <sub>2</sub> (HR = 1.41, adj. P < .001) and D <sub>3</sub> (HR = 1.35, adj. P < .001), after adjusting for clinico-pathologic factors. CoRiS was also able to identify high-risk patients who derived survival benefit from ACT D <sub>2</sub> (HR = 0.42, adj. P = .006) and D <sub>3</sub> (HR = 0.46, adj. P = .08).
CoRiS is a tissue non-destructive, quantitative and low-cost tool that could potentially help guide management of ES-NSCLC patients.
Data collection, anlaysis, and computation resources of the research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award numbers: 1U24CA199374-01, R01CA202752-01A1, R01CA208236-01A1, R01 CA216579-01A1, R01 CA220581-01A1, 1U01 CA239055-01. National Center for Research Resources under award number 1 C06 RR12463-01. VA Merit Review Award IBX004121A from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service, the DOD Prostate Cancer Idea Development Award (W81XWH-15-1-0558), the DOD Lung Cancer Investigator-Initiated Translational Research Award (W81XWH-18-1-0440), the DOD Peer Reviewed Cancer Research Program (W81XWH-16-1-0329), the Ohio Third Frontier Technology Validation Fund, the Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering and the Clinical and Translational Science Award Program (CTSA) at Case Western Reserve University.
Keywords
Aged, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung/drug therapy, Carcinoma, Non-Small-Cell Lung/pathology, Chemotherapy, Adjuvant, Cytodiagnosis/methods, Diagnosis, Computer-Assisted/methods, Diagnosis, Computer-Assisted/standards, Female, Humans, Lung Neoplasms/drug therapy, Lung Neoplasms/pathology, Male, Middle Aged, Neoplasm Staging, Survival Analysis, Computational pathology, Early-stage non-small cell lung cancer, Prognostic and predictive
Pubmed
Web of science
Open Access
Yes
Create date
16/07/2021 12:23
Last modification date
21/11/2022 8:26
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