scholarly journals Analysis of Population Differences in Digital Conversations about Cancer Clinical Trials: Advanced Data Mining and Extraction Study (Preprint)

JMIR Cancer ◽  
10.2196/25621 ◽  
2020 ◽  
Author(s):  
Edith A. Perez ◽  
Elizabeth M. Jaffee ◽  
John Whyte ◽  
Cheryl A. Boyce ◽  
John D. Carpten ◽  
...  
2003 ◽  
Vol 30 (3 Suppl 6) ◽  
pp. 56-67 ◽  
Author(s):  
W. Gillies McKenna ◽  
Ruth J. Muschel ◽  
Anjali Gupta ◽  
Stephen Hahn ◽  
Eric J. Bernhard

2019 ◽  
Vol 2 (11) ◽  
pp. e1914531
Author(s):  
Ghassan Al-Shbool ◽  
Hira Latif ◽  
Saira Farid ◽  
Shuqi Wang ◽  
Jaeil Ahn ◽  
...  

2012 ◽  
Vol 10 (12) ◽  
pp. 2599-2601 ◽  
Author(s):  
M. CARRIER ◽  
A. A. KHORANA ◽  
J. I. ZWICKER ◽  
G. H. LYMAN ◽  
G. LE GAL ◽  
...  

2021 ◽  
Vol 9 (4) ◽  
pp. e002231
Author(s):  
Romain Banchereau ◽  
Avantika S. Chitre ◽  
Alexis Scherl ◽  
Thomas D. Wu ◽  
Namrata S. Patil ◽  
...  

BackgroundCD8+ tissue-resident memory T (TRM) cells, marked by CD103 (ITGAE) expression, are thought to actively suppress cancer progression, leading to the hypothesis that their presence in tumors may predict response to immunotherapy.MethodsHere, we test this by combining high-dimensional single-cell modalities with bulk tumor transcriptomics from 1868 patients enrolled in lung and bladder cancer clinical trials of atezolizumab (anti-programmed cell death ligand 1 (PD-L1)).ResultsITGAE was identified as the most significantly upregulated gene in inflamed tumors. Tumor CD103+ CD8+ TRM cells exhibited a complex phenotype defined by the expression of checkpoint regulators, cytotoxic proteins, and increased clonal expansion.ConclusionsOur analyses indeed demonstrate that the presence of CD103+ CD8+ TRM cells, quantified by tracking intratumoral CD103 expression, can predict treatment outcome, suggesting that patients who respond to PD-1/PD-L1 blockade are those who exhibit an ongoing antitumor T-cell response.


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