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A few days ago, the results of a "prediction of the clinical benefit of single-drug PD-1/PD-L1 immunotherapy for advanced non-small cell lung cancer based on multi-omics sequence deep learning " was officially released in the American Journal of Translation Research.
immunity
Yang,Y.
PMID: 33594323.
In the process of lung cancer immunotherapy (PD-1/PD-L1), it is very important to predict the clinical benefit of patients, and it is also facing huge challenges.
This study retrospectively analyzed 1633 CT imaging data of 200 patients with advanced NSCLC who were treated with mAb PD-1/PD-L1 in the Chest Hospital of Shanghai Jiaotong University from April 2016 to December 2019 .
NSCLC
Serial deep learning model for response to PD-1/PD-L1 inhibitor in NSCLC 3
3The results of the study found that the prediction model based on the 90-day deep learning showed good detection performance in distinguishing drug response, and the area under the curve (AUC) reached 0.
Figure1
Before immunotherapy, the model was used to divide patients into high-risk and low-risk non-responders.
Figure2
An exploratory predictive analysis of 93 patients with stable disease (SD) also showed that low-risk patients and higher-risk patients had longer PFS and OS (11.
Figure3
Therefore, SimTA-based multi-omics series deep learning provides a method with great potential for predicting the response of patients with advanced NSCLC to PD-1/PD-L1 monotherapy.
4
Professor Lu Shun
Professor Lu ShunChief physician, doctoral supervisor, second-level professor
Leading talent in Shanghai, outstanding academic leader in Shanghai, chief expert of national key special project
Enjoy the special allowance of the State Council
Director of Shanghai Chest Hospital of Shanghai Jiaotong University, Shanghai Lung Cancer Clinical Medicine Center
Director of China Anti-Cancer Association, Chairman of Lung Cancer Professional Committee
Chinese Society of Clinical Oncology (CSCO) executive director, Xi Sike fund will be vice president
fundChairman of Shanghai Medical Association Oncology Society
Member of Oncology Society of Chinese Medical Association, Chairman of Lung Cancer Professional Committee
Vice President of the Oncology Branch of Shanghai Medical Doctor Association, leader of the specialist training group
Deputy Editor-in-Chief of Journal of Thoracic Oncology, the official journal of the International Association for the Study of Lung Cancer
Executive Director of Shanghai Anti-Cancer Association
Vice Chairman of the Precision Medicine Branch ofChina Medical Biotechnology Association
PreciseAs the person in charge, presided over 1 international cooperation project of the Ministry of Science and Technology; 1 major national new drug innovation project, 2 sub-projects of 863 major project; 1 general project of the National Natural Science Foundation of China
About point
Diannei Technology was established in April 2016.Diannei Technology uses machine deep learning to carry out independent research and development of a number of exclusive technologies such as "non-invasive prediction of pathological infiltration typing", and cooperates with top domestic experts and hospitals for clinical verification.
The company's core team members have an average of more than 10 years of medical artificial intelligence technology research and development, product research and development and industry market experience.
At present, the technology service cooperation in the site has covered 58 provinces, cities, and prefecture-level administrative regions across the country, benefiting millions of people.
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