Cargando…

Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer

BACKGROUND: Programmed cell death-1 (PD-1) blockade has been shown to confer clinical benefit in cancer patients. Here, we assessed the level of serum interleukin 14α (IL14α) in patients receiving anti-PD-1 treatment. METHODS: This prospective study recruited 30 patients with advanced solid cancer w...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Buhai, Chen, Caiyue, Jiang, Shiyu, Huang, Yuxiang, Zeng, Yichun, Li, Lei, Wang, Maoqi, Guo, Jingliang, Li, Qiuxian, Cao, Jin, Shen, Long, Gu, Juan J, Liang, Yichen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123909/
https://www.ncbi.nlm.nih.gov/pubmed/37101524
http://dx.doi.org/10.1177/11795549231163369
_version_ 1785029749392801792
author Wang, Buhai
Chen, Caiyue
Jiang, Shiyu
Huang, Yuxiang
Zeng, Yichun
Li, Lei
Wang, Maoqi
Guo, Jingliang
Li, Qiuxian
Cao, Jin
Shen, Long
Gu, Juan J
Liang, Yichen
author_facet Wang, Buhai
Chen, Caiyue
Jiang, Shiyu
Huang, Yuxiang
Zeng, Yichun
Li, Lei
Wang, Maoqi
Guo, Jingliang
Li, Qiuxian
Cao, Jin
Shen, Long
Gu, Juan J
Liang, Yichen
author_sort Wang, Buhai
collection PubMed
description BACKGROUND: Programmed cell death-1 (PD-1) blockade has been shown to confer clinical benefit in cancer patients. Here, we assessed the level of serum interleukin 14α (IL14α) in patients receiving anti-PD-1 treatment. METHODS: This prospective study recruited 30 patients with advanced solid cancer who received pembrolizumab treatment in Northern Jiangsu People’s Hospital between April 2016 and June 2018. The western blot analysis was used to assess the expression level of serum IL14α in patients at baseline and after 2 cycles of treatment. Interleukin 14α was performed using the unpaired 2-tailed Student test. The progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method and compared by the log-rank test. RESULTS: The early change of IL14α after 2 cycles of anti-PD-1 therapy was calculated as delta IL14α % change = (IL14α level after 2 cycles − IL14α level before treatment)/IL14α level before treatment × 100%. Receiver operating characteristic (ROC) was analyzed to get a cutoff point of delta IL14α % change as 2.46% (sensitivity = 85.71%, specificity = 62.5%; area under the ROC curve [AUC] = 0.7277, P = .034). Using this cutoff to subgroup the patients, an improved objective response rate was observed in patients with a delta IL14α change higher than 2.46% (P = .0072). A delta IL14α change over 2.46% was associated with a superior PFS (P = .0039). CONCLUSIONS: Early changes of serum IL14α levels may be a promising biomarker to predict outcomes in patients with solid cancer following anti-PD-1 treatment.
format Online
Article
Text
id pubmed-10123909
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-101239092023-04-25 Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer Wang, Buhai Chen, Caiyue Jiang, Shiyu Huang, Yuxiang Zeng, Yichun Li, Lei Wang, Maoqi Guo, Jingliang Li, Qiuxian Cao, Jin Shen, Long Gu, Juan J Liang, Yichen Clin Med Insights Oncol Original Research Article BACKGROUND: Programmed cell death-1 (PD-1) blockade has been shown to confer clinical benefit in cancer patients. Here, we assessed the level of serum interleukin 14α (IL14α) in patients receiving anti-PD-1 treatment. METHODS: This prospective study recruited 30 patients with advanced solid cancer who received pembrolizumab treatment in Northern Jiangsu People’s Hospital between April 2016 and June 2018. The western blot analysis was used to assess the expression level of serum IL14α in patients at baseline and after 2 cycles of treatment. Interleukin 14α was performed using the unpaired 2-tailed Student test. The progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method and compared by the log-rank test. RESULTS: The early change of IL14α after 2 cycles of anti-PD-1 therapy was calculated as delta IL14α % change = (IL14α level after 2 cycles − IL14α level before treatment)/IL14α level before treatment × 100%. Receiver operating characteristic (ROC) was analyzed to get a cutoff point of delta IL14α % change as 2.46% (sensitivity = 85.71%, specificity = 62.5%; area under the ROC curve [AUC] = 0.7277, P = .034). Using this cutoff to subgroup the patients, an improved objective response rate was observed in patients with a delta IL14α change higher than 2.46% (P = .0072). A delta IL14α change over 2.46% was associated with a superior PFS (P = .0039). CONCLUSIONS: Early changes of serum IL14α levels may be a promising biomarker to predict outcomes in patients with solid cancer following anti-PD-1 treatment. SAGE Publications 2023-04-19 /pmc/articles/PMC10123909/ /pubmed/37101524 http://dx.doi.org/10.1177/11795549231163369 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Wang, Buhai
Chen, Caiyue
Jiang, Shiyu
Huang, Yuxiang
Zeng, Yichun
Li, Lei
Wang, Maoqi
Guo, Jingliang
Li, Qiuxian
Cao, Jin
Shen, Long
Gu, Juan J
Liang, Yichen
Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title_full Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title_fullStr Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title_full_unstemmed Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title_short Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer
title_sort early changes of serum interleukin 14α levels predicts the response to anti-pd-1 therapy in cancer
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123909/
https://www.ncbi.nlm.nih.gov/pubmed/37101524
http://dx.doi.org/10.1177/11795549231163369
work_keys_str_mv AT wangbuhai earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT chencaiyue earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT jiangshiyu earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT huangyuxiang earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT zengyichun earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT lilei earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT wangmaoqi earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT guojingliang earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT liqiuxian earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT caojin earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT shenlong earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT gujuanj earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer
AT liangyichen earlychangesofseruminterleukin14alevelspredictstheresponsetoantipd1therapyincancer