A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.
A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.
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DOI:
10.1016/j.ebiom.2021.103481
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发表时间:
2021-07
期刊:
影响因子:
11.1
通讯作者:
Madabhushi A
中科院分区:
文献类型:
--
作者:
Wang X;Bera K;Barrera C;Zhou Y;Lu C;Vaidya P;Fu P;Yang M;Schmid RA;Berezowska S;Choi H;Velcheti V;Madabhushi A
Poster presentation at the USCAP 108th Annual Meeting, March 16–21, 2019. 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 D1-4. D1 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 D2 (N=331), D3 (N=657) and D4 (N=242). Patients from D2 and D3 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, D2 (hazard ratio (HR) = 1.41, adjusted (adj.) P = .01) and D3 (HR = 1.35, adj. P < .001). Multivariable analysis showed CoRiS was independently prognostic, D2 (HR = 1.41, adj. P < .001) and D3 (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 D2 (HR = 0.42, adj. P = .006) and D3 (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.
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DOI:
10.1097/jto.0000000000000365
发表时间:
2015-01
期刊:
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
影响因子:
--
作者:
Bueno R;Hughes E;Wagner S;Gutin AS;Lanchbury JS;Zheng Y;Archer MA;Gustafson C;Jones JT;Rushton K;Saam J;Kim E;Barberis M;Wistuba I;Wenstrup RJ;Wallace WA;Hartman AR;Harrison DJ
通讯作者:
Harrison DJ
影响因子:
2.4
作者:
Leo, Patrick;Lee, George;Madabhushi, Anant
通讯作者:
Madabhushi, Anant
DOI:
10.1158/1078-0432.ccr-18-2013
发表时间:
2019-03-01
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Corredor G;Wang X;Zhou Y;Lu C;Fu P;Syrigos K;Rimm DL;Yang M;Romero E;Schalper KA;Velcheti V;Madabhushi A
通讯作者:
Madabhushi A
DOI:
10.1038/s41374-018-0095-7
发表时间:
2018-11
期刊:
Laboratory investigation; a journal of technical methods and pathology
影响因子:
--
作者:
Lu C;Romo-Bucheli D;Wang X;Janowczyk A;Ganesan S;Gilmore H;Rimm D;Madabhushi A
通讯作者:
Madabhushi A
影响因子:
45.3
作者:
Endoh, H;Tomida, S;Mitsudomi, T
通讯作者:
Mitsudomi, T