AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients

Antiangiogenic therapy, such as bevacizumab (BEV), has improved progression-free survival (PFS) and overall survival (OS) in high-risk patients with epithelial ovarian cancer (EOC) according to several clinical trials. Clinically, no reliable molecular biomarker is available to predict the treatment...

Full description

Bibliographic Details
Main Authors: Po-Chao Hsu, Tai-Kuang Chao, Yu-Ching Chou, Mu-Hsien Yu, Yu-Chi Wang, Yi-Hsin Lin, Yi-Liang Lee, Li-Chun Liu, Cheng-Chang Chang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/19/4529
_version_ 1797516115344097280
author Po-Chao Hsu
Tai-Kuang Chao
Yu-Ching Chou
Mu-Hsien Yu
Yu-Chi Wang
Yi-Hsin Lin
Yi-Liang Lee
Li-Chun Liu
Cheng-Chang Chang
author_facet Po-Chao Hsu
Tai-Kuang Chao
Yu-Ching Chou
Mu-Hsien Yu
Yu-Chi Wang
Yi-Hsin Lin
Yi-Liang Lee
Li-Chun Liu
Cheng-Chang Chang
author_sort Po-Chao Hsu
collection DOAJ
description Antiangiogenic therapy, such as bevacizumab (BEV), has improved progression-free survival (PFS) and overall survival (OS) in high-risk patients with epithelial ovarian cancer (EOC) according to several clinical trials. Clinically, no reliable molecular biomarker is available to predict the treatment response to antiangiogenic therapy. Immune-related proteins can indirectly contribute to angiogenesis by regulating stromal cells in the tumor microenvironment. This study was performed to search biomarkers for prediction of the BEV treatment response in EOC patients. We conducted a hospital-based retrospective study from March 2013 to May 2020. Tissues from 78 Taiwanese patients who were newly diagnosed with EOC and peritoneal serous papillary carcinoma (PSPC) and received BEV therapy were collected. We used immunohistochemistry (IHC) staining and analyzed the expression of these putative biomarkers (complement component 3 (C3), complement component 5 (C5), and absent in melanoma 2 (AIM2)) based on the staining area and intensity of the color reaction to predict BEV efficacy in EOC patients. The immunostaining scores of AIM2 were significantly higher in the BEV-resistant group (RG) than in the BEV-sensitive group (SG) (355.5 vs. 297.1, <i>p</i> < 0.001). A high level of AIM2 (mean value > 310) conferred worse PFS after treatment with BEV than a low level of AIM2 (13.58 vs. 19.36 months, adjusted hazard ratio (HR) = 4.44, 95% confidence interval (CI) = 2.01–9.80, <i>p</i> < 0.001). There were no significant differences in C3 (<i>p</i> = 0.077) or C5 (<i>p</i> = 0.326) regarding BEV efficacy. AIM2 inflammasome expression can be a histopathological biomarker to predict the antiangiogenic therapy benefit in EOC patients. The molecular mechanism requires further investigation.
first_indexed 2024-03-10T06:57:44Z
format Article
id doaj.art-33d58110a5504f3791e8394ba1d9ec48
institution Directory Open Access Journal
issn 2077-0383
language English
last_indexed 2024-03-10T06:57:44Z
publishDate 2021-09-01
publisher MDPI AG
record_format Article
series Journal of Clinical Medicine
spelling doaj.art-33d58110a5504f3791e8394ba1d9ec482023-11-22T16:20:49ZengMDPI AGJournal of Clinical Medicine2077-03832021-09-011019452910.3390/jcm10194529AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer PatientsPo-Chao Hsu0Tai-Kuang Chao1Yu-Ching Chou2Mu-Hsien Yu3Yu-Chi Wang4Yi-Hsin Lin5Yi-Liang Lee6Li-Chun Liu7Cheng-Chang Chang8Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanSchool of Public Health, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, TaiwanAntiangiogenic therapy, such as bevacizumab (BEV), has improved progression-free survival (PFS) and overall survival (OS) in high-risk patients with epithelial ovarian cancer (EOC) according to several clinical trials. Clinically, no reliable molecular biomarker is available to predict the treatment response to antiangiogenic therapy. Immune-related proteins can indirectly contribute to angiogenesis by regulating stromal cells in the tumor microenvironment. This study was performed to search biomarkers for prediction of the BEV treatment response in EOC patients. We conducted a hospital-based retrospective study from March 2013 to May 2020. Tissues from 78 Taiwanese patients who were newly diagnosed with EOC and peritoneal serous papillary carcinoma (PSPC) and received BEV therapy were collected. We used immunohistochemistry (IHC) staining and analyzed the expression of these putative biomarkers (complement component 3 (C3), complement component 5 (C5), and absent in melanoma 2 (AIM2)) based on the staining area and intensity of the color reaction to predict BEV efficacy in EOC patients. The immunostaining scores of AIM2 were significantly higher in the BEV-resistant group (RG) than in the BEV-sensitive group (SG) (355.5 vs. 297.1, <i>p</i> < 0.001). A high level of AIM2 (mean value > 310) conferred worse PFS after treatment with BEV than a low level of AIM2 (13.58 vs. 19.36 months, adjusted hazard ratio (HR) = 4.44, 95% confidence interval (CI) = 2.01–9.80, <i>p</i> < 0.001). There were no significant differences in C3 (<i>p</i> = 0.077) or C5 (<i>p</i> = 0.326) regarding BEV efficacy. AIM2 inflammasome expression can be a histopathological biomarker to predict the antiangiogenic therapy benefit in EOC patients. The molecular mechanism requires further investigation.https://www.mdpi.com/2077-0383/10/19/4529epithelial ovarian cancer (EOC)antiangiogenic therapybevacizumabcomplement C3C5AIM2 inflammasome
spellingShingle Po-Chao Hsu
Tai-Kuang Chao
Yu-Ching Chou
Mu-Hsien Yu
Yu-Chi Wang
Yi-Hsin Lin
Yi-Liang Lee
Li-Chun Liu
Cheng-Chang Chang
AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
Journal of Clinical Medicine
epithelial ovarian cancer (EOC)
antiangiogenic therapy
bevacizumab
complement C3
C5
AIM2 inflammasome
title AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
title_full AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
title_fullStr AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
title_full_unstemmed AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
title_short AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients
title_sort aim2 inflammasome in tumor cells as a biomarker for predicting the treatment response to antiangiogenic therapy in epithelial ovarian cancer patients
topic epithelial ovarian cancer (EOC)
antiangiogenic therapy
bevacizumab
complement C3
C5
AIM2 inflammasome
url https://www.mdpi.com/2077-0383/10/19/4529
work_keys_str_mv AT pochaohsu aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT taikuangchao aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT yuchingchou aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT muhsienyu aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT yuchiwang aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT yihsinlin aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT yilianglee aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT lichunliu aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients
AT chengchangchang aim2inflammasomeintumorcellsasabiomarkerforpredictingthetreatmentresponsetoantiangiogenictherapyinepithelialovariancancerpatients