scholarly journals Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy

2020 ◽  
Vol 9 (4) ◽  
pp. 1015-1028
Author(s):  
Young Kwang Chae ◽  
Won Bin Kim ◽  
Andrew A. Davis ◽  
Lee Chun Park ◽  
Jonathan F. Anker ◽  
...  
2021 ◽  
Vol 16 (10) ◽  
pp. S1163-S1164
Author(s):  
T. Mitchell ◽  
T. Jones ◽  
S. Danson ◽  
M. Glover ◽  
J. Bury ◽  
...  

Cancers ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1271 ◽  
Author(s):  
Heeke ◽  
Benzaquen ◽  
Long-Mira ◽  
Audelan ◽  
Lespinet ◽  
...  

Tumor mutational burden (TMB) has emerged as an important potential biomarker for prediction of response to immune-checkpoint inhibitors (ICIs), notably in non-small cell lung cancer (NSCLC). However, its in-house assessment in routine clinical practice is currently challenging and validation is urgently needed. We have analyzed sixty NSCLC and thirty-six melanoma patients with ICI treatment, using the FoundationOne test (FO) in addition to in-house testing using the Oncomine TML (OTML) panel and evaluated the durable clinical benefit (DCB), defined by >6 months without progressive disease. Comparison of TMB values obtained by both tests demonstrated a high correlation in NSCLC (R2 = 0.73) and melanoma (R2 = 0.94). The association of TMB with DCB was comparable between OTML (area-under the curve (AUC) = 0.67) and FO (AUC = 0.71) in NSCLC. Median TMB was higher in the DCB cohort and progression-free survival (PFS) was prolonged in patients with high TMB (OTML HR = 0.35; FO HR = 0.45). In contrast, we detected no differences in PFS and median TMB in our melanoma cohort. Combining TMB with PD-L1 and CD8-expression by immunohistochemistry improved the predictive value. We conclude that in our cohort both approaches are equally able to assess TMB and to predict DCB in NSCLC.


2015 ◽  
Vol 106 (10) ◽  
pp. 1463-1473 ◽  
Author(s):  
Qing‐Hai Lin ◽  
Kui‐Dong Zhang ◽  
He‐Xian Duan ◽  
Min‐Xia Liu ◽  
Wan‐Li Wei ◽  
...  

2015 ◽  
Vol 10 (2) ◽  
pp. 286-301 ◽  
Author(s):  
Ming-Chuan Wang ◽  
Ying-Hua Chang ◽  
Chih-Chieh Wu ◽  
Yu-Chang Tyan ◽  
Hua-Chien Chang ◽  
...  

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