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Liu S, Ji F, Ding Y, Ding B, Feng S, Brennick C, Lin H, Zhang T, Shen Y. VISTA: A promising target for overcoming immune evasion in gynecologic cancers. Int Immunopharmacol 2024; 138:112655. [PMID: 38986302 DOI: 10.1016/j.intimp.2024.112655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/28/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
Immune checkpoint blockade (ICB) therapy has revolutionized cancer treatment but has shown limited efficacy in gynecologic cancers. VISTA (V-domain Ig suppressor of T-cell activation), a member of the B7 family, is emerging as another checkpoint that regulates the anti-tumor immune responses within the tumor microenvironment. This paper reviews the structure, expression, and mechanism of action of VISTA. Furthermore, it highlights recent advances in VISTA-blocking therapies and their potential in improving outcomes for patients with gynecologic cancers. By understanding the role of VISTA in mediating the immune evasion of gynecologic tumors, we can develop more effective combinatory treatment strategies that could overcome resistance to current ICB therapies.
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Affiliation(s)
- Sicong Liu
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210003, China
| | - Feng Ji
- Department of Clinical Science and Research, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yue Ding
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210003, China
| | - Bo Ding
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210003, China
| | - Songwei Feng
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210003, China
| | - Cory Brennick
- Department of Immunobiology, Yale University, New Haven, CT 06511, USA
| | - Hao Lin
- Department of Clinical Science and Research, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
| | - Tianxiang Zhang
- Department of Immunobiology, Yale University, New Haven, CT 06511, USA.
| | - Yang Shen
- Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210003, China.
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Fang S, Xia W, Zhang H, Ni C, Wu J, Mo Q, Jiang M, Guan D, Yuan H, Chen W. A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer. Front Oncol 2024; 14:1323226. [PMID: 38420013 PMCID: PMC10899694 DOI: 10.3389/fonc.2024.1323226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Purpose This study aimed to develop and validate a clinicopathological model to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer patients and identify key prognostic factors. Methods This retrospective study analyzed data from 279 breast cancer patients who received NAC at Zhejiang Provincial People's Hospital from 2011 to 2021. Additionally, an external validation dataset, comprising 50 patients from Lanxi People's Hospital and Second Affiliated Hospital, Zhejiang University School of Medicine from 2022 to 2023 was utilized for model verification. A multivariate logistic regression model was established incorporating clinical, ultrasound features, circulating tumor cells (CTCs), and pathology variables at baseline and post-NAC. Model performance for predicting pCR was evaluated. Prognostic factors were identified using survival analysis. Results In the 279 patients enrolled, a pathologic complete response (pCR) rate of 27.96% (78 out of 279) was achieved. The predictive model incorporated independent predictors such as stromal tumor-infiltrating lymphocyte (sTIL) levels, Ki-67 expression, molecular subtype, and ultrasound echo features. The model demonstrated strong predictive accuracy for pCR (C-statistics/AUC 0.874), especially in human epidermal growth factor receptor 2 (HER2)-enriched (C-statistics/AUC 0.878) and triple-negative (C-statistics/AUC 0.870) subtypes, and the model performed well in external validation data set (C-statistics/AUC 0.836). Incorporating circulating tumor cell (CTC) changes post-NAC and tumor size changes further improved predictive performance (C-statistics/AUC 0.945) in the CTC detection subgroup. Key prognostic factors included tumor size >5cm, lymph node metastasis, sTIL levels, estrogen receptor (ER) status and pCR. Despite varied pCR rates, overall prognosis after standard systemic therapy was consistent across molecular subtypes. Conclusion The developed predictive model showcases robust performance in forecasting pCR in NAC-treated breast cancer patients, marking a step toward more personalized therapeutic strategies in breast cancer.
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Affiliation(s)
- Shan Fang
- Center for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wenjie Xia
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Haibo Zhang
- Cancer Center, Department of Radiation Oncology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Chao Ni
- Department of Breast Surgery (Surgical Oncology), Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jun Wu
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiuping Mo
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Mengjie Jiang
- Department of Radiotherapy, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
| | - Dandan Guan
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hongjun Yuan
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wuzhen Chen
- Department of Oncology, Lanxi People’s Hospital, Jinhua, China
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Rezagholizadeh F, Tajik F, Talebi M, Taha SR, Shariat Zadeh M, Farhangnia P, Hosseini HS, Nazari A, Mollazadeh Ghomi S, Kamrani Mousavi SM, Haeri Moghaddam N, Khorramdelazad H, Joghataei MT, Safari E. Unraveling the potential of CD8, CD68, and VISTA as diagnostic and prognostic markers in patients with pancreatic ductal adenocarcinoma. Front Immunol 2024; 15:1283364. [PMID: 38357542 PMCID: PMC10865497 DOI: 10.3389/fimmu.2024.1283364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction Pancreatic cancer is a truculent disease with limited treatment options and a grim prognosis. Immunotherapy has shown promise in treating various types of cancer, but its effectiveness in pancreatic cancer has been lacking. As a result, it is crucial to identify markers associated with immunological pathways in order to improve the treatment outcomes for this deadly cancer. The purpose of this study was to investigate the diagnostic and prognostic significance of three markers, CD8, CD68, and VISTA, in pancreatic ductal adenocarcinoma (PDAC), the most common subtype of pancreatic cancer. Methods We analyzed gene expression data from Gene Expression Omnibus (GEO) database using bioinformatics tools. We also utilized the STRING online tool and Funrich software to study the protein-protein interactions and transcription factors associated with CD8, CD68, and VISTA. In addition, tissue microarray (TMA) and immunohistochemistry (IHC) staining were performed on 228 samples of PDAC tissue and 10 samples of normal pancreatic tissue to assess the expression levels of the markers. We then correlated these expression levels with the clinicopathological characteristics of the patients and evaluated their survival rates. Results The analysis of the GEO data revealed slightly elevated levels of VISTA in PDAC samples compared to normal tissues. However, there was a significant increase in CD68 expression and a notable reduction in CD8A expression in pancreatic cancer. Further investigation identified potential protein-protein interactions and transcription factors associated with these markers. The IHC staining of PDAC tissue samples showed an increased expression of VISTA, CD68, and CD8A in pancreatic cancer tissues. Moreover, we found correlations between the expression levels of these markers and certain clinicopathological features of the patients. Additionally, the survival analysis revealed that high expression of CD8 was associated with better disease-specific survival and progression-free survival in PDAC patients. Conclusion These findings highlight the potential of CD8, CD68, and VISTA as diagnostic and prognostic indicators in PDAC.
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Affiliation(s)
- Fereshteh Rezagholizadeh
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Tajik
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Morteza Talebi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Human and Animal Cell Bank, Iranian Biological Resource Center (IBRC), Tehran, Iran
| | - Seyed Reza Taha
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | - Pooya Farhangnia
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Board for Transplantation and Cell-Based Therapeutics (ImmunoTACT), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
| | - Hamideh Sadat Hosseini
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Aram Nazari
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Shabnam Mollazadeh Ghomi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Immunology Board for Transplantation and Cell-Based Therapeutics (ImmunoTACT), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Department of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyede Mahtab Kamrani Mousavi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Niloofar Haeri Moghaddam
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hossein Khorramdelazad
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Mohammad Taghi Joghataei
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Elahe Safari
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
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Li R, Qiu J, Zhang Z, Qu C, Tang Z, Yu W, Tian Y, Tian H. Prognostic significance of Lymphocyte-activation gene 3 (LAG3) in patients with solid tumors: a systematic review, meta-analysis and pan-cancer analysis. Cancer Cell Int 2023; 23:306. [PMID: 38041068 PMCID: PMC10693146 DOI: 10.1186/s12935-023-03157-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/21/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Lymphocyte-activation gene 3 (LAG3) is a recently discovered immune checkpoint molecule that has been linked to immunosuppression and the advancement of cancer in different types of solid tumors. This study aimed to evaluate the prognostic importance of LAG3 and its role in the immune system within solid tumors. METHODS Extensive literature searches were conducted using the Pubmed, EMBASE, and Cochrane Library databases to identify relevant studies exploring the effect of LAG3 on survival outcomes. Pooled hazard ratios (HRs) with its 95% confidence intervals (CIs) were calculated to evaluate the prognostic values of LAG3. Afterwards, subgroup analysis and sensitivity analysis were conducted. Pan-cancer analysis investigated the possible relationships between LAG3 expression and genetic alterations, RNA methylation modification-related genes, genomic instability, immune checkpoint genes, and infiltration of immune cells. RESULTS A total of 43 studies with 7,118 patients were included in this analysis. Higher expression of LAG3 was associated with worse overall survival (HR = 1.10, 95% CI 1.01-1.19, P = 0.023), but not disease-free survival (HR = 1.41, 95% CI 0.96-2.07, P = 0.078), progression-free survival (HR = 1.12, 95% CI 0.90-1.39, P = 0.317) or recurrence-free survival (HR = 0.98, 95% CI 0.81-1.19, P = 0.871). Subgroup analysis showed that LAG3 might play different prognostic roles in different solid tumors. LAG3 expression was positively associated with immune cell infiltration and immune checkpoint genes in all of the cancers included. LAG3 expression was also found to be associated with microsatellite instability (MSI), copy number variation (CNV), simple nucleoside variation (SNV), tumor mutation burden (TMB), and neoantigen in various types of cancers. CONCLUSIONS Elevated expression of LAG3 is linked to poorer prognosis among patients diagnosed with solid cancers. LAG3 might play varying prognostic roles in different types of solid tumors. Given its substantial involvement in cancer immunity and tumorigenesis, LAG3 has garnered attention as a promising prognostic biomarker and a potential target for immunotherapy.
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Affiliation(s)
- Rongyang Li
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Jianhao Qiu
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Zhan Zhang
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Chenghao Qu
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Zhanpeng Tang
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Wenhao Yu
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Yu Tian
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
| | - Hui Tian
- Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
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