Takuto Hara1, Hideaki Miyake2, Masato Fujisawa1. 1. Division of Urology, Kobe University Graduate School of Medicine, Kobe, Japan. 2. Division of Urology, Kobe University Graduate School of Medicine, Kobe, Japan; Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan. Electronic address: hideakimiyake@hotmail.com.
Abstract
OBJECTIVE: To analyze the expression pattern of immune checkpoint-associated molecules in tumor tissues to determine the prognostic significance of these molecules in patients with metastatic renal cell carcinoma (mRCC) treated with tyrosine kinase inhibitors (TKIs). METHODS: Radical nephrectomy specimens were obtained from 62 patients treated with TKIs as first-line systemic therapy for mRCC. The proportions of programmed death-1 (PD-1)-positive tumor infiltrating lymphocytes (TILs) as well as those of tumor cells positive for PD-ligand 1 (PD-L1) and PD-L2 were analyzed by immunohistochemical staining. RESULTS: Overall, 12 patients (19.3%) were revealed to be positive for PD-1-positive TILs, whereas positive expression of PD-L1 and PD-L2 were detected in 12 (19.3%) and 10 (16.1%) patients, respectively. Patients with positivePDL-L1 expression had significantly unfavorable progression-free survival (PFS) compared with those without positive PD-L1 expression, despite the remaining 2 molecules having no significant effect on PFS. Additionally, overall survival in patients positive for PD-1, PD-L1, or PD-L2 expression was significantly poorer than that in those without expression of each immune checkpoint-associated molecule. Multivariate analyses of several parameters identified the following independent prognosticators after the introduction of TKIs: PD-L1 expression status for PFS and lymph node metastasis, Memorial Sloan-Kettering Cancer Center classification and expression statuses of PD-1-positive TILs, and PD-L1 for overall survival. CONCLUSIONS: Positive expression of immune checkpoint-associated molecules in tumor tissues could be useful prognosticators in patients with mRCC receiving TKIs as first-line systemic therapy.
OBJECTIVE: To analyze the expression pattern of immune checkpoint-associated molecules in tumor tissues to determine the prognostic significance of these molecules in patients with metastatic renal cell carcinoma (mRCC) treated with tyrosine kinase inhibitors (TKIs). METHODS: Radical nephrectomy specimens were obtained from 62 patients treated with TKIs as first-line systemic therapy for mRCC. The proportions of programmed death-1 (PD-1)-positive tumor infiltrating lymphocytes (TILs) as well as those of tumor cells positive for PD-ligand 1 (PD-L1) and PD-L2 were analyzed by immunohistochemical staining. RESULTS: Overall, 12 patients (19.3%) were revealed to be positive for PD-1-positive TILs, whereas positive expression of PD-L1 and PD-L2 were detected in 12 (19.3%) and 10 (16.1%) patients, respectively. Patients with positivePDL-L1 expression had significantly unfavorable progression-free survival (PFS) compared with those without positive PD-L1 expression, despite the remaining 2 molecules having no significant effect on PFS. Additionally, overall survival in patients positive for PD-1, PD-L1, or PD-L2 expression was significantly poorer than that in those without expression of each immune checkpoint-associated molecule. Multivariate analyses of several parameters identified the following independent prognosticators after the introduction of TKIs: PD-L1 expression status for PFS and lymph node metastasis, Memorial Sloan-Kettering Cancer Center classification and expression statuses of PD-1-positive TILs, and PD-L1 for overall survival. CONCLUSIONS: Positive expression of immune checkpoint-associated molecules in tumor tissues could be useful prognosticators in patients with mRCC receiving TKIs as first-line systemic therapy.
Authors: David J Clark; Saravana M Dhanasekaran; Francesca Petralia; Jianbo Pan; Xiaoyu Song; Yingwei Hu; Felipe da Veiga Leprevost; Boris Reva; Tung-Shing M Lih; Hui-Yin Chang; Weiping Ma; Chen Huang; Christopher J Ricketts; Lijun Chen; Azra Krek; Yize Li; Dmitry Rykunov; Qing Kay Li; Lin S Chen; Umut Ozbek; Suhas Vasaikar; Yige Wu; Seungyeul Yoo; Shrabanti Chowdhury; Matthew A Wyczalkowski; Jiayi Ji; Michael Schnaubelt; Andy Kong; Sunantha Sethuraman; Dmitry M Avtonomov; Minghui Ao; Antonio Colaprico; Song Cao; Kyung-Cho Cho; Selim Kalayci; Shiyong Ma; Wenke Liu; Kelly Ruggles; Anna Calinawan; Zeynep H Gümüş; Daniel Geiszler; Emily Kawaler; Guo Ci Teo; Bo Wen; Yuping Zhang; Sarah Keegan; Kai Li; Feng Chen; Nathan Edwards; Phillip M Pierorazio; Xi Steven Chen; Christian P Pavlovich; A Ari Hakimi; Gabriel Brominski; James J Hsieh; Andrzej Antczak; Tatiana Omelchenko; Jan Lubinski; Maciej Wiznerowicz; W Marston Linehan; Christopher R Kinsinger; Mathangi Thiagarajan; Emily S Boja; Mehdi Mesri; Tara Hiltke; Ana I Robles; Henry Rodriguez; Jiang Qian; David Fenyö; Bing Zhang; Li Ding; Eric Schadt; Arul M Chinnaiyan; Zhen Zhang; Gilbert S Omenn; Marcin Cieslik; Daniel W Chan; Alexey I Nesvizhskii; Pei Wang; Hui Zhang Journal: Cell Date: 2019-10-31 Impact factor: 41.582
Authors: Gorka Larrinaga; Jon Danel Solano-Iturri; Peio Errarte; Miguel Unda; Ana Loizaga-Iriarte; Amparo Pérez-Fernández; Enrique Echevarría; Aintzane Asumendi; Claudia Manini; Javier C Angulo; José I López Journal: Cancers (Basel) Date: 2021-02-07 Impact factor: 6.639