1
|
Mateiou C, Lokhande L, Diep LH, Knulst M, Carlsson E, Ek S, Sundfeldt K, Gerdtsson A. Spatial tumor immune microenvironment phenotypes in ovarian cancer. NPJ Precis Oncol 2024; 8:148. [PMID: 39026018 PMCID: PMC11258306 DOI: 10.1038/s41698-024-00640-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 07/09/2024] [Indexed: 07/20/2024] Open
Abstract
Immunotherapy has largely failed in ovarian carcinoma (OC), likely due to that the vast tumor heterogeneity and variation in immune response have hampered clinical trial outcomes. Tumor-immune microenvironment (TIME) profiling may aid in stratification of OC tumors for guiding treatment selection. Here, we used Digital Spatial Profiling combined with image analysis to characterize regions of spatially distinct TIME phenotypes in OC to assess whether immune infiltration pattern can predict presence of immuno-oncology targets. Tumors with diffuse immune infiltration and increased tumor-immune spatial interactions had higher presence of IDO1, PD-L1, PD-1 and Tim-3, while focal immune niches had more CD163 macrophages and a preliminary worse outcome. Immune exclusion was associated with presence of Tregs and Fibronectin. High-grade serous OC showed an overall stronger immune response and presence of multiple targetable checkpoints. Low-grade serous OC was associated with diffuse infiltration and a high expression of STING, while endometrioid OC had higher presence of CTLA-4. Mucinous and clear cell OC were dominated by focal immune clusters and immune-excluded regions, with mucinous tumors displaying T-cell rich immune niches.
Collapse
Affiliation(s)
- Claudia Mateiou
- Department of Pathology and Cytology, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | | | - Lan Hoa Diep
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Mattis Knulst
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Elias Carlsson
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Sara Ek
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Karin Sundfeldt
- Department of Obstetrics and Gynecology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Anna Gerdtsson
- Department of Immunotechnology, Lund University, Lund, Sweden.
| |
Collapse
|
2
|
Zhang G, Zhang Y, Zhang J, Yang X, Sun W, Liu Y, Liu Y. Immune cell landscapes are associated with high-grade serous ovarian cancer survival. Sci Rep 2024; 14:16140. [PMID: 38997411 PMCID: PMC11245545 DOI: 10.1038/s41598-024-67213-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 07/09/2024] [Indexed: 07/14/2024] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is an aggressive disease known to develop resistance to chemotherapy. We investigated the prognostic significance of tumor cell states and potential mechanisms underlying chemotherapy resistance in HGSOC. Transcriptome deconvolution was performed to address cellular heterogeneity. Kaplan-Meier survival curves were plotted to illustrate the outcomes of patients with varying cellular abundances. The association between gene expression and chemotherapy response was tested. After adjusting for surgery status and grading, several cell states exhibited a significant correlation with patient survival. Cell states can organize into carcinoma ecotypes (CE). CE9 and CE10 were proinflammatory, characterized by higher immunoreactivity, and were associated with favorable survival outcomes. Ratios of cell states and ecotypes had better prognostic abilities than a single cell state or ecotype. A total of 1265 differentially expressed genes were identified between samples with high and low levels of C9 or CE10. These genes were partitioned into three co-expressed modules, which were associated with tumor cells and immune cells. Pogz was identified to be linked with immune cell genes and the chemotherapy response of paclitaxel. Collectively, the survival of HGSOC patients is correlated with specific cell states and ecotypes.
Collapse
Affiliation(s)
- Guoan Zhang
- Science and Technology Experiment Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China
| | - Yan Zhang
- Science and Technology Experiment Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China
| | - Jingjing Zhang
- Science and Technology Experiment Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China
| | - Xiaohui Yang
- Cangzhou Nanobody Technology Innovation Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China
| | - Wenjie Sun
- University Nanobody Application Technology Research and Development Center of Hebei Provice, Cangzhou, 061001, People's Republic of China
| | - Ying Liu
- Science and Technology Experiment Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China.
| | - Yingfu Liu
- Cangzhou Nanobody Technology Innovation Center, Cangzhou Medical College, Cangzhou, 061001, People's Republic of China.
- University Nanobody Application Technology Research and Development Center of Hebei Provice, Cangzhou, 061001, People's Republic of China.
| |
Collapse
|
3
|
Ni Y, Li R, Shen X, Yi D, Ren Y, Wang F, Geng Y, You Q. Diaphorobacter nitroreducens synergize with oxaliplatin to reduce tumor burden in mice with lung adenocarcinoma. mSystems 2024; 9:e0132323. [PMID: 38483163 PMCID: PMC11019951 DOI: 10.1128/msystems.01323-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/29/2024] [Indexed: 04/17/2024] Open
Abstract
Lung adenocarcinoma (LADC) is the most common lung cancer and the leading cause of cancer-related deaths globally. Accumulating evidence suggests that the gut microbiota regulates the host response to chemotherapeutic drugs and can be targeted to reduce the toxicity of current chemotherapeutic agents. However, the effect of Diaphorobacter nitroreducens synergized with oxaliplatin on the gut microbiota and their impact on LADC have never been explored. This study aimed to evaluate the anti-cancer effects of D. nitroreducens, oxaliplatin, and their combined treatment on tumor growth in tumor-bearing mice. The composition of gut microbiota and the immune infiltration of tumors were evaluated by using 16S rRNA gene high-throughput sequencing and immunofluorescence, respectively. The inhibitory effect of the combination treatment with D. nitroreducens and oxaliplatin was significantly stronger than that of oxaliplatin alone in tumor-bearing mice. Furthermore, we observed that the combination treatment significantly increased the relative abundance of Lactobacillus and Akkermansia in the gut microbiota. Meanwhile, the combination treatment significantly increased the proportions of macrophage but decreased the proportion of regulatory T cells in the LADC tumor tissues of mice. These findings underscored the relationship between D. nitroreducens and the gut microbiota-immune cell-LADC axis, highlighting potential therapeutic avenues for LADC treatment. IMPORTANCE Oxaliplatin is widely used as an effective chemotherapeutic agent in cancer treatment, but its side effects and response rate still need to be improved. Conventional probiotics potentially benefit cancer chemotherapy by regulating gut microbiota and tumor immune infiltration. This study was novel in reporting a more significant inhibitory effect of Diaphorobacter nitroreducens on lung adenocarcinoma (LADC) cells compared with common traditional probiotics and validating its potential as an adjuvant therapy for LADC chemotherapy in mice. This study investigated the impact of D. nitroreducens combined with oxaliplatin on the gut microbiota and immune infiltration of tumors as a potential mechanism to improve anticancer effects.
Collapse
Affiliation(s)
- Yalan Ni
- Department of Oncology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Rui Li
- Department of Oncology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiaoyu Shen
- Department of Oncology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Jiangsu, China
- Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Deli Yi
- Department of Oncology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Jiangsu, China
- Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yilin Ren
- Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Fudong Wang
- Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yan Geng
- School of Life Science and Health Engineering, Jiangnan University, Wuxi, China
| | - Qingjun You
- Department of Oncology, Affiliated Children’s Hospital of Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| |
Collapse
|
4
|
Zhang Y, Zhou T, Tang Q, Feng B, Liang Y. Identification of glycosyltransferase-related genes signature and integrative analyses in patients with ovarian cancer. AMERICAN JOURNAL OF CLINICAL AND EXPERIMENTAL IMMUNOLOGY 2024; 13:12-25. [PMID: 38496354 PMCID: PMC10944358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Glycosyltransferases (GT) play a crucial role in glycosylation reactions, and aberrant expression of glycosyltransferase-related genes (GTs) leads to abnormal glycosylation, which is associated with tumor progression. However, the prognostic value of aberrant expression of GTs in ovarian cancer (OC) and the correlation between GTs and tumor microenvironment (TME) remain unknown. METHODS TCGA and GSE53963 databases were used to obtain data on OC patient samples. The association of GTs with OC was analyzed. Molecular subtypes were identified by consensus unsupervised clustering, followed by immune infiltration and functional enrichment analyses. Survival analysis was performed using Kaplan-Meier curves and log-rank tests. Least Absolute Shrinkage and Selection Operator (LASSO) and multifactorial cox regression were used to screen for signature genes associated with OC and used to establish prognostic models. RESULT OC patients were categorized into 5 GTs clusters using consensus unsupervised cluster analysis. Clusters D and E showed significant differences between survival, signaling pathways and immune infiltration. Then, a risk model was developed based on the 12 signature genes, which provides a more accurate evaluation of the prognosis of OC patients. We categorized patients into high-risk and low-risk groups based on the risk score and found that the survival of patients in the high-risk group was significantly lower than that in the low-risk group. Moreover, the risk score was significantly correlated with tumor microenvironment, immune infiltration, and chemotherapy sensitivity. CONCLUSION Overall, we performed a comprehensive analysis of GTs in OC patients and developed a risk model for OC. Our findings will provide a new insight to OC prognosis and treatment.
Collapse
Affiliation(s)
- Yanqiu Zhang
- Center for Clinical Laboratory, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
- Institute of Clinical Pharmacology, Anhui Medical University, Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune MedicineHefei, Anhui, The People’s Republic of China
| | - Tong Zhou
- Center for Clinical Laboratory, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
- Medical College of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
| | - Qingqin Tang
- Center for Clinical Laboratory, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
| | - Bin Feng
- Center for Clinical Laboratory, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
| | - Yuting Liang
- Center for Clinical Laboratory, The First Affiliated Hospital of Soochow UniversitySuzhou, Jiangsu, The People’s Republic of China
| |
Collapse
|
5
|
Blanc-Durand F, Clemence Wei Xian L, Tan DSP. Targeting the immune microenvironment for ovarian cancer therapy. Front Immunol 2023; 14:1328651. [PMID: 38164130 PMCID: PMC10757966 DOI: 10.3389/fimmu.2023.1328651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/05/2023] [Indexed: 01/03/2024] Open
Abstract
Ovarian cancer (OC) is an aggressive malignancy characterized by a complex immunosuppressive tumor microenvironment (TME). Immune checkpoint inhibitors have emerged as a breakthrough in cancer therapy by reactivating the antitumor immune response suppressed by tumor cells. However, in the case of OC, these inhibitors have failed to demonstrate significant improvements in patient outcomes, and existing biomarkers have not yet identified promising subgroups. Consequently, there remains a pressing need to understand the interplay between OC tumor cells and their surrounding microenvironment to develop effective immunotherapeutic approaches. This review aims to provide an overview of the OC TME and explore its potential as a therapeutic strategy. Tumor-infiltrating lymphocytes (TILs) are major actors in OC TME. Evidence has been accumulating regarding the spontaneous TILS response against OC antigens. Activated T-helpers secrete a wide range of inflammatory cytokines with a supportive action on cytotoxic T-cells. Simultaneously, mature B-cells are recruited and play a significant antitumor role through opsonization of target antigens and T-cell recruitment. Macrophages also form an important subset of innate immunity (M1-macrophages) while participating in the immune-stimulation context. Finally, OC has shown to engage a significant natural-killer-cells immune response, exerting direct cytotoxicity without prior sensitization. Despite this initial cytotoxicity, OC cells develop various strategies to induce an immune-tolerant state. To this end, multiple immunosuppressive molecules are secreted to impair cytotoxic cells, recruit regulatory cells, alter antigen presentation, and effectively evade immune response. Consequently, OC TME is predominantly infiltrated by immunosuppressive cells such as FOXP3+ regulatory T-cells, M2-polarized macrophages and myeloid-derived suppressor cells. Despite this strong immunosuppressive state, PD-1/PD-L1 inhibitors have failed to improve outcomes. Beyond PD-1/PD-L1, OC expresses multiple other immune checkpoints that contribute to immune evasion, and each representing potential immune targets. Novel immunotherapies are attempting to overcome the immunosuppressive state and induce specific immune responses using antibodies adoptive cell therapy or vaccines. Overall, the OC TME presents both opportunities and obstacles. Immunotherapeutic approaches continue to show promise, and next-generation inhibitors offer exciting opportunities. However, tailoring therapies to individual immune characteristics will be critical for the success of these treatments.
Collapse
Affiliation(s)
- Felix Blanc-Durand
- Department of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), National University Hospital, Singapore, Singapore
- Yong Loo Lin School of Medicine and Cancer Science Institute (CSI), National University of Singapore (NUS), Singapore, Singapore
| | - Lai Clemence Wei Xian
- Department of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), National University Hospital, Singapore, Singapore
- Yong Loo Lin School of Medicine and Cancer Science Institute (CSI), National University of Singapore (NUS), Singapore, Singapore
| | - David S. P. Tan
- Department of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), National University Hospital, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University Centre for Cancer Research (N2CR) and Cancer Science Institute (CSI), National University of Singapore, Singapore, Singapore
| |
Collapse
|
6
|
Luo X, Wang Y, Zhang H, Chen G, Sheng J, Tian X, Xue R, Wang Y. Identification of a Prognostic Signature for Ovarian Cancer Based on Ubiquitin-Related Genes Suggesting a Potential Role for FBXO9. Biomolecules 2023; 13:1724. [PMID: 38136595 PMCID: PMC10742228 DOI: 10.3390/biom13121724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/19/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Ovarian cancer (OV) is associated with high mortality and poses challenges in diagnosis and prognosis prediction. Ubiquitin-related genes (UbRGs) are involved in the initiation and progression of cancers, but have still not been utilized for diagnosis and prognosis of OV. METHODS K48-linked ubiquitination in ovarian tissues from our OV and control cohort was assessed using immunohistochemistry. UbRGs, including ubiquitin and ubiquitin-like regulators, were screened based on the TCGA-OV and GTEx database. Univariate Cox regression analysis identified survival-associated UbRGs. A risk model was established using the LASSO regression and multivariate Cox regression analysis. The relationship between UbRGs and immune cell infiltration, tumor mutational burden, drug sensitivity, and immune checkpoint was determined using the CIBERSORT, ESTIMATE, and Maftools algorithms, based on the Genomics of Drug Sensitivity in Cancer and TCGA-OV databases. GEPIA2.0 was used to analyze the correlation between FBXO9/UBD and DNA damage repair-related genes. Finally, FBXO9 and UBD were accessed in tissues or cells using immunohistochemistry, qPCR, and Western blot. RESULTS We confirmed the crucial role for ubiquitination in OV as a significant decrease of K48-linked ubiquitination was observed in primary OV lesions. We identified a prognostic signature utilizing two specific UbRGs, FBXO9 and UBD. The risk score obtained from this signature accurately predicted the overall survival of TCGA-OV training dataset and GSE32062 validation dataset. Furthermore, this risk score also showed association with immunocyte infiltration and drug sensitivity, revealing potential mechanisms for ubiquitination mediated OV risk. In addition, FBXO9, but not UBD, was found to be downregulated in OV and positively correlated with DNA damage repair pathways, suggesting FBXO9 as a potential cancer suppressor, likely via facilitating DNA damage repair. CONCLUSIONS We identified and validated a signature of UbRGs that accurately predicts the prognosis, offers valuable guidance for optimizing chemotherapy and targeted therapies, and suggests a potential role for FBXO9 in OV.
Collapse
Affiliation(s)
- Xiaomei Luo
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Yingjie Wang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
- School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Hao Zhang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Guangquan Chen
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Jindan Sheng
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Xiu Tian
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Renhao Xue
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
- School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yu Wang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China (G.C.)
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| |
Collapse
|
7
|
Wei X, Michelakos T, He Q, Wang X, Chen Y, Kontos F, Wang H, Liu X, Liu H, Zheng W, Ferrone S, Zhang Y, Ferrone CR, Li X, Cai L. Association of Tumor Cell Metabolic Subtype and Immune Response With the Clinical Course of Hepatocellular Carcinoma. Oncologist 2023; 28:e1031-e1042. [PMID: 37159555 PMCID: PMC10628596 DOI: 10.1093/oncolo/oyad113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 03/15/2023] [Indexed: 05/11/2023] Open
Abstract
AIM Tumor metabolism plays an important role in tumorigenesis and tumor progression. This study evaluated the potential association of tumor cell metabolism and immune cell tumor infiltration with the clinical course of hepatocellular carcinoma (HCC). METHODS Gene-wise normalization and principal component analysis were performed to evaluate the metabolic system. A tumor microenvironment score system of tumor immune cell infiltration was constructed to evaluate its association with metabolic subtypes. Finally, we analyzed the impact of metabolism and immune cell infiltration on the clinical course of HCC. RESULTS A total of 673 HCC patients were categorized into cholesterogenic (25.3%), glycolytic (14.6%), mixed (10.4%), and quiescent (49.8%) types based on glycolysis and cholesterol biosynthesis gene expression. The subgroups including the glycolytic genotyping expression (glycolytic and mixed types) showed a higher mortality rate. The glycolytic, cholesterogenic, and mixed types were positively correlated with M0 macrophage, resting mast cell, and naïve B-cell infiltration (P = .013, P = .019, and P = .006, respectively). In TCGA database, high CD8+ T cell and low M0 macrophage infiltration were associated with prolonged overall survival (OS, P = .0017 and P < .0001, respectively). Furthermore, in glycolytic and mixed types, patients with high M0 macrophage infiltration had a shorter OS (P = .03 and P = .013, respectively), and in quiescent type, patients with low naïve B-cell infiltration had a longer OS (P = .007). CONCLUSIONS Tumor metabolism plays a prognostic role and correlates with immune cell infiltration in HCC. M0 macrophage and CD8+ T cell appear to be promising prognostic biomarker for HCC. Finally, M0 macrophages may represent a useful immunotherapeutic target in patients with HCC.
Collapse
Affiliation(s)
- Xiaolin Wei
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Theodoros Michelakos
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Qian He
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Xianxing Wang
- Institute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, People’s Republic of China
| | - Yu Chen
- Department of Digestive Diseases, Shanghai Fourth People’s Hospital Affiliated to Tongji University, Shanghai, People’s Republic of China
| | - Filippos Kontos
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Huaizhi Wang
- Institute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, People’s Republic of China
| | - Xiangde Liu
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Hui Liu
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Wenjing Zheng
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yun Zhang
- Department of Foreign Languages, Army Medical University, Chongqing, People’s Republic of China
| | - Cristina R Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Surgery, Cedar-Sinai Health System, Los Angeles, CA, USA
| | - Xiaowu Li
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, People’s Republic of China
| | - Lei Cai
- Institute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, People’s Republic of China
| |
Collapse
|
8
|
Sharrow AC, Ho M, Dua A, Buj R, Blenman KRM, Orsulic S, Buckanovich R, Aird KM, Wu L. Tumor-Associated Macrophages Expand Chemoresistant, Ovarian Cancer Stem-Like Cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.17.549067. [PMID: 37503008 PMCID: PMC10370114 DOI: 10.1101/2023.07.17.549067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
The persistence of ovarian cancer stem-like cells (OvCSCs) after chemotherapy resistance has been implicated in relapse. However, the ability of these relatively quiescent cells to produce the robust tumor regrowth necessary for relapse remains an enigma. Since normal stem cells exist in a niche, and tumor-associated macrophages (TAMs) are the highest abundance immune cell within ovarian tumors, we hypothesized that TAMs may influence OvCSC proliferation. To test this, we optimized OvCSC enrichment by sphere culture and in vitro polarization of monocytes to a TAM-like M2 phenotype. Using cocultures that permitted the exchange of only soluble factors, we found that M2 macrophages increased the proliferation of sphere cells. Longer-term exposure (5-7 days) to soluble TAM factors led to retention of some stem cell features by OvCSCs but loss of others, suggesting that TAMs may support an intermediate stemness phenotype in OvCSCs. Although TAM coculture decreased the percentage of OvCSCs surviving chemotherapy, it increased the overall number. We therefore sought to determine the influence of this interaction on chemotherapy efficacy in vivo and found that inhibiting macrophages improved chemotherapy response. Comparing the gene expression changes in OvCSCs cocultured with TAMs to publicly available patient data identified 34 genes upregulated in OvCSCs by exposure to soluble TAM factors whose expression correlates with outcome. Overall, these data suggest that TAMs may influence OvCSC proliferation and impact therapeutic response.
Collapse
|
9
|
Plaja A, Teruel I, Ochoa-de-Olza M, Cucurull M, Arroyo ÁJ, Pardo B, Ortiz I, Gil-Martin M, Piulats JM, Pla H, Fina C, Carbó A, Barretina-Ginesta MP, Martínez-Román S, Carballas E, González A, Esteve A, Romeo M. Prognostic Role of Neutrophil, Monocyte and Platelet to Lymphocyte Ratios in Advanced Ovarian Cancer According to the Time of Debulking Surgery. Int J Mol Sci 2023; 24:11420. [PMID: 37511180 PMCID: PMC10380459 DOI: 10.3390/ijms241411420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 06/26/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Despite a multimodal radical treatment, mortality of advanced epithelial ovarian cancer (AEOC) remains high. Host-related factors, such as systemic inflammatory response and its interplay with the immune system, remain underexplored. We hypothesized that the prognostic impact of this response could vary between patients undergoing primary debulking surgery (PDS) and those undergoing interval debulking surgery (IDS). Therefore, we evaluated the outcomes of two surgical groups of newly diagnosed AEOC patients according to the neutrophil, monocyte and platelet to lymphocyte ratios (NLR, MLR, PLR), taking median ratio values as cutoffs. In the PDS group (n = 61), low NLR and PLR subgroups showed significantly better overall survival (not reached (NR) vs. 72.7 months, 95% confidence interval [CI]: 40.9-95.2, p = 0.019; and NR vs. 56.1 months, 95% CI: 40.9-95.2, p = 0.004, respectively) than those with high values. Similar results were observed in progression free survival. NLR and PLR-high values resulted in negative prognostic factors, adjusting for residual disease, BRCA1/2 status and stage (HR 2.48, 95% CI: 1.03-5.99, p = 0.043, and HR 2.91, 95% CI: 1.11-7.64, p = 0.03, respectively). In the IDS group (n = 85), ratios were not significant prognostic factors. We conclude that NLR and PLR may have prognostic value in the PDS setting, but none in IDS, suggesting that time of surgery can modulate the prognostic impact of baseline complete blood count (CBC).
Collapse
Affiliation(s)
- Andrea Plaja
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Iris Teruel
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Maria Ochoa-de-Olza
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Marc Cucurull
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Álvaro Javier Arroyo
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-L'Hospitalet, Hospital Duran i Reynals, Institut d'Investigació de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Beatriz Pardo
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-L'Hospitalet, Hospital Duran i Reynals, Institut d'Investigació de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Irene Ortiz
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-L'Hospitalet, Hospital Duran i Reynals, Institut d'Investigació de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Marta Gil-Martin
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-L'Hospitalet, Hospital Duran i Reynals, Institut d'Investigació de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Josep María Piulats
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-L'Hospitalet, Hospital Duran i Reynals, Institut d'Investigació de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Helena Pla
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Girona, Girona Biomedical Research Institut d'Investigació Biomèdica de Girona (IDIBGi), 17007 Girona, Spain
| | - Claudia Fina
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Girona, Girona Biomedical Research Institut d'Investigació Biomèdica de Girona (IDIBGi), 17007 Girona, Spain
| | - Anna Carbó
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Girona, Girona Biomedical Research Institut d'Investigació Biomèdica de Girona (IDIBGi), 17007 Girona, Spain
| | - Maria-Pilar Barretina-Ginesta
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Girona, Girona Biomedical Research Institut d'Investigació Biomèdica de Girona (IDIBGi), 17007 Girona, Spain
| | - Sergio Martínez-Román
- Obstetrics and Gynecologycal Department, Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Elvira Carballas
- Obstetrics and Gynecologycal Department, Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Andrea González
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Anna Esteve
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| | - Margarita Romeo
- Medical Oncology Department, Institut Català d'Oncologia (ICO)-Badalona, Badalona Applied Research Group in Oncology (BARGO), Institut d'Investigació Germans Trias i Pujol (IGTP), 08916 Badalona, Spain
| |
Collapse
|
10
|
Standing D, Feess E, Kodiyalam S, Kuehn M, Hamel Z, Johnson J, Thomas SM, Anant S. The Role of STATs in Ovarian Cancer: Exploring Their Potential for Therapy. Cancers (Basel) 2023; 15:cancers15092485. [PMID: 37173951 PMCID: PMC10177275 DOI: 10.3390/cancers15092485] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/12/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Ovarian cancer (OvCa) is a deadly gynecologic malignancy that presents many clinical challenges due to late-stage diagnoses and the development of acquired resistance to standard-of-care treatment protocols. There is an increasing body of evidence suggesting that STATs may play a critical role in OvCa progression, resistance, and disease recurrence, and thus we sought to compile a comprehensive review to summarize the current state of knowledge on the topic. We have examined peer reviewed literature to delineate the role of STATs in both cancer cells and cells within the tumor microenvironment. In addition to summarizing the current knowledge of STAT biology in OvCa, we have also examined the capacity of small molecule inhibitor development to target specific STATs and progress toward clinical applications. From our research, the best studied and targeted factors are STAT3 and STAT5, which has resulted in the development of several inhibitors that are under current evaluation in clinical trials. There remain gaps in understanding the role of STAT1, STAT2, STAT4, and STAT6, due to limited reports in the current literature; as such, further studies to establish their implications in OvCa are necessitated. Moreover, due to the deficiency in our understanding of these STATs, selective inhibitors also remain elusive, and therefore present opportunities for discovery.
Collapse
Affiliation(s)
- David Standing
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Emma Feess
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Satvik Kodiyalam
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Michael Kuehn
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Zachary Hamel
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Jaimie Johnson
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Sufi Mary Thomas
- Department of Otolaryngology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Shrikant Anant
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA
| |
Collapse
|
11
|
Jang YS, Kim TW, Ryu JS, Kong HJ, Jang SH, Nam GH, Kim JH, Jeon S. Upregulation of programmed death ligand-1 in tumor-associated macrophages affects chemotherapeutic response in ovarian cancer cells. PLoS One 2023; 18:e0277285. [PMID: 36757936 PMCID: PMC9910707 DOI: 10.1371/journal.pone.0277285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/24/2022] [Indexed: 02/10/2023] Open
Abstract
To better understand the mechanism of chemoresistance in ovarian cancer cells, we aimed to investigate the influence of macrophages on the tumor cell response to carboplatin and identify the genes associated with chemoresistance. We mimicked the tumor microenvironment (TME) using a co-culture technique and compared the proliferation of ovarian cells with and without macrophages. We also examined M1 and M2 marker expression and the expression of key TME genes. Post the co-culture, we treated ovarian cancer cells with carboplatin and elucidated the function of programmed death-ligand 1 (PD-L1) in carboplatin chemoresistance. We investigated CD68 and PD-L1 expression in normal and cancerous ovarian tissues using immunohistochemistry (IHC). Finally, we analyzed the association between CD68 or PD-L1 expression and survival outcomes. Inducible nitric oxide synthase (iNOS) was downregulated, while the gene expression of M2 macrophage markers was increased in ovarian cancer cells. PD-L1, vascular endothelial growth factor (VEGF), Interleukin (IL)-6, IL-10, IL-12, signal transducer and activator of transcription 3 (STAT3), B-cell lymphoma 2 (BCL2), multidrug resistance 1 (MDR1), and colony stimulating factor 1 (CSF-1) were upregulated. Notably, PD-L1 was upregulated in both the ovarian cancer cells and macrophages. Ovarian cancer cells co-cultured with macrophages exhibited statistically significant carboplatin resistance compared to single-cultured ovarian cancer cells. PD-L1 silencing induced chemosensitivity in both types of co-cultured ovarian cancer cells. However, IHC results revealed no correlation between PD-L1 expression and patient survival or cancer stage. CD68 expression was significantly increased in cancer cells compared to normal or benign ovarian tumor cells, but it was not associated with the survival outcomes of ovarian cancer patients. Our study demonstrated that ovarian cancer cells interact with macrophages to induce the M2 phenotype. We also established that PD-L1 upregulation in both ovarian cancer cells and macrophages is a key factor for carboplatin chemoresistance.
Collapse
Affiliation(s)
- Yong Soo Jang
- Department of Obstetrics and Gynecology, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Tae Wan Kim
- Soonchunhyang Innovative Convergence Research Center, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
- Department of Medical Life Science, Soonchunhyang University, Asan, Korea
| | - Jae Sung Ryu
- Soonchunhyang Innovative Convergence Research Center, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
- Department of Medical Life Science, Soonchunhyang University, Asan, Korea
| | - Hye Jeong Kong
- Soonchunhyang Innovative Convergence Research Center, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
- Department of Medical Life Science, Soonchunhyang University, Asan, Korea
| | - Si Hyeong Jang
- Department of Pathology, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Gye Hyun Nam
- Department of Obstetrics and Gynecology, College of Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Jae Hoon Kim
- Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Seob Jeon
- Department of Obstetrics and Gynecology, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
- * E-mail:
| |
Collapse
|
12
|
Gao Q, Mo S, Han C, Liao X, Yang C, Wang X, Liang T, He Y, Chen Z, Zhu G, Su H, Ye X, Peng T. Comprehensive analysis of LILR family genes expression and tumour-infiltrating immune cells in early-stage pancreatic ductal adenocarcinoma. IET Syst Biol 2023; 17:39-57. [PMID: 36748687 PMCID: PMC10116025 DOI: 10.1049/syb2.12058] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/26/2022] [Accepted: 01/08/2023] [Indexed: 02/08/2023] Open
Abstract
Leucocyte immunoglobulin-like receptors (LILRs) are closely related to tumourigenesis, but their clinical value in early-stage pancreatic ductal adenocarcinoma (PDAC) after pancreaticoduodenectomy remains unknown. Kaplan-Meier and Cox proportional hazards regression models is used to investigate the association between LILR expression and prognosis in tumour biopsies and peripheral blood mononuclear cells. Risk score was calculated for each patient based on the prognostic model. DAVID, STRING, GeneMANIA, and GSEA were used to conduct pathway and functional analyses. The CIBERSORT algorithm is used to analyse tumour-infiltrating immune cells. Survival analysis showed that high levels of LILRA4 (p = 0.006) and LILRB4 (p = 0.04) were significantly associated with better overall survival. High levels of LILRA2 (p = 0.008) and LILRB4 (p = 0.038) were significantly associated with better relapse-free survival. JAK-STAT signalling pathway, regulation of T cell activation, regulation of the immune effector process, and tumour necrosis factor superfamily cytokine production were involved in molecular mechanisms that affected poor prognoses in the high-risk group in GSEA. CIBERSORT demonstrated that the high-risk group had significantly higher infiltrating fraction of memory-activated CD4 T cells and activated NK cells and lower fraction of resting dendritic cells and neutrophils. LILRB4 plays crucial roles in affecting the clinical outcomes of early-stage PDAC.
Collapse
Affiliation(s)
- Qiang Gao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shutian Mo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chuangye Han
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Xiwen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chengkun Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiangkun Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Tianyi Liang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yongfei He
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zijun Chen
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Guangzhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Hao Su
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Xinping Ye
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| | - Tao Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, China
| |
Collapse
|
13
|
Markelić M, Mojić M, Bovan D, Jelača S, Jović Z, Purić M, Koruga D, Mijatović S, Maksimović-Ivanić D. Melanoma Cell Reprogramming and Awakening of Antitumor Immunity as a Fingerprint of Hyper-Harmonized Hydroxylated Fullerene Water Complex (3HFWC) and Hyperpolarized Light Application In Vivo. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:nano13030372. [PMID: 36770334 PMCID: PMC9918970 DOI: 10.3390/nano13030372] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 05/14/2023]
Abstract
In our recent study, we showed that in vitro treatment of melanoma cells with hyperpolarized light (HPL) as well as with the second derivative of fullerene, hyper-harmonized hydroxylated fullerene water complex (3HFWC) reduced viability of cells by decreasing their proliferative capacity and inducing senescence and reprogramming towards a normal, melanocytic phenotype. Therefore, we wanted to determine whether these effects persisted in vivo in the syngeneic mouse melanoma model with a combined treatment of HPL irradiation and 3HFWC per os. Our results demonstrated the potent antitumor effects of 3HFWC nanosubstance assisted by HPL irradiation. These effects were primarily driven by the stimulation of melanoma cell growth arrest, the establishment of a senescent phenotype, and melanocytic differentiation on the one hand, and the awakening of the antitumor immune response on the other. In addition, the combined treatment reduced the protumorigenic activity of immune cells by depleting T regulatory cells, myeloid-derived suppressors, and M2 macrophages. The support of the 3HFWC substance by HPL irradiation may be the axis of the new approach design based on tumor cell reprogramming synchronized with the mobilization of the host's protective immune response.
Collapse
Affiliation(s)
- Milica Markelić
- Faculty of Biology, University of Belgrade, 11000 Belgrade, Serbia
- Correspondence: (M.M.); (D.M.-I.)
| | - Marija Mojić
- Institute for Biological Research “Siniša Stanković”– National Institute of the Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia
| | - Dijana Bovan
- Institute for Biological Research “Siniša Stanković”– National Institute of the Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia
| | - Sanja Jelača
- Institute for Biological Research “Siniša Stanković”– National Institute of the Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia
| | | | | | | | - Sanja Mijatović
- Institute for Biological Research “Siniša Stanković”– National Institute of the Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia
| | - Danijela Maksimović-Ivanić
- Institute for Biological Research “Siniša Stanković”– National Institute of the Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia
- Correspondence: (M.M.); (D.M.-I.)
| |
Collapse
|
14
|
Wang J, Chen H, Deng Q, Chen Y, Wang Z, Yan Z, Wang Y, Tang H, Liang H, Jiang Y. High expression of RNF169 is associated with poor prognosis in pancreatic adenocarcinoma by regulating tumour immune infiltration. Front Genet 2023; 13:1022626. [PMID: 36685833 PMCID: PMC9849556 DOI: 10.3389/fgene.2022.1022626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 12/20/2022] [Indexed: 01/06/2023] Open
Abstract
Background: Pancreatic adenocarcinoma (PAAD) is a highly deadly and aggressive tumour with a poor prognosis. However, the prognostic value of RNF169 and its related mechanisms in PAAD have not been elucidated. In this study, we aimed to explore prognosis-related genes, especially RNF169 in PAAD and to identify novel potential prognostic predictors of PAAD. Methods: The GEPIA and UALCAN databases were used to investigate the expression and prognostic value of RNF169 in PAAD. The correlation between RNF169 expression and immune infiltration was determined by using TIMER and TISIDB. Correlation analysis with starBase was performed to identify a potential regulatory axis of lncRNA-miRNA-RNF169. Results: The data showed that the level of RNF169 mRNA expression in PAAD tissues was higher than that in normal tissues. High RNF169 expression was correlated with poor prognosis in PAAD. In addition, analysis with the TISIDB and TIMER databases revealed that RNF169 expression was positively correlated with tumour immune infiltration in PAAD. Correlation analysis suggested that the long non-coding RNA (lncRNA) AL049555.1 and the microRNA (miRNA) hsa-miR-324-5p were involved in the expression of RNF169, composing a potential regulatory axis to control the progression of PAAD. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that RNF169 plays a role in PAAD through pathways such as TNF, Hippo, JAK-STAT and Toll-like receptor signaling. Conclusion: In summary, the upregulation of RNF169 expression mediated by ncRNAs might influence immune cell infiltration in the microenvironment; thus, it can be used as a prognostic biomarker and a potential therapeutic target in PAAD.
Collapse
Affiliation(s)
- Jieyan Wang
- Department of Urology, The People’s Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen, Guangdong, China
| | - Hanghang Chen
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Qiong Deng
- Department of Urology, The People’s Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen, Guangdong, China
| | - Yeda Chen
- Department of Urology, The People’s Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen, Guangdong, China
| | - Zhu Wang
- Department of Urology, The People’s Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen, Guangdong, China
| | - Zhengzheng Yan
- Dongguan Key Laboratory of Respiratory and Critical Care Medicine, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China
| | - Yinglin Wang
- Department of Pediatrics, The Second Hospital of Zhuzhou, Zhuzhou, Hunan, China
| | - Haoxuan Tang
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Hui Liang
- Department of Urology, The People’s Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen, Guangdong, China,*Correspondence: Hui Liang, ; Yong Jiang,
| | - Yong Jiang
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China,Dongguan Key Laboratory of Respiratory and Critical Care Medicine, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China,*Correspondence: Hui Liang, ; Yong Jiang,
| |
Collapse
|
15
|
CXCL9 influences the tumor immune microenvironment by stimulating JAK/STAT pathway in triple-negative breast cancer. Cancer Immunol Immunother 2022; 72:1479-1492. [DOI: 10.1007/s00262-022-03343-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 11/26/2022] [Indexed: 12/13/2022]
|
16
|
Rajtak A, Ostrowska-Leśko M, Żak K, Tarkowski R, Kotarski J, Okła K. Integration of local and systemic immunity in ovarian cancer: Implications for immunotherapy. Front Immunol 2022; 13:1018256. [PMID: 36439144 PMCID: PMC9684707 DOI: 10.3389/fimmu.2022.1018256] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 10/18/2022] [Indexed: 08/21/2023] Open
Abstract
Cancer is a disease that induces many local and systemic changes in immunity. The difficult nature of ovarian cancer stems from the lack of characteristic symptoms that contributes to a delayed diagnosis and treatment. Despite the enormous progress in immunotherapy, its efficacy remains limited. The heterogeneity of tumors, lack of diagnostic biomarkers, and complex immune landscape are the main challenges in the treatment of ovarian cancer. Integrative approaches that combine the tumor microenvironment - local immunity - together with periphery - systemic immunity - are urgently needed to improve the understanding of the disease and the efficacy of treatment. In fact, multiparametric analyses are poised to improve our understanding of ovarian tumor immunology. We outline an integrative approach including local and systemic immunity in ovarian cancer. Understanding the nature of both localized and systemic immune responses will be crucial to boosting the efficacy of immunotherapies in ovarian cancer patients.
Collapse
Affiliation(s)
- Alicja Rajtak
- 1st Chair and Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
| | - Marta Ostrowska-Leśko
- 1st Chair and Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
- Chair and Department of Toxicology, Medical University of Lublin, Lublin, Poland
| | - Klaudia Żak
- 1st Chair and Department of Oncological Gynaecology and Gynaecology, Student Scientific Association, Medical University of Lublin, Lublin, Poland
| | - Rafał Tarkowski
- 1st Chair and Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
| | - Jan Kotarski
- 1st Chair and Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
| | - Karolina Okła
- 1st Chair and Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, MI, United States
| |
Collapse
|
17
|
Peng H, He X, Wang Q. Targeted drug delivery system for ovarian cancer microenvironment: Improving the effects of immunotherapy. Front Immunol 2022; 13:1035997. [PMID: 36405688 PMCID: PMC9670735 DOI: 10.3389/fimmu.2022.1035997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
Immunotherapies have shown modest benefits in the current clinical trials for ovarian cancer. The tumor microenvironment (TME) in an immunosuppressive phenotype contributes to this “failure” of immunotherapy in ovarian cancer. Many stromal cell types in the TME (e.g., tumor-associated macrophages and fibroblasts) have been identified as having plasticity in pro- and antitumor activities and are responsible for suppressing the antitumor immune response. Thus, the TME is an extremely valuable target for adjuvant interventions to improve the effects of immunotherapy. The current strategies targeting the TME include: 1) eliminating immunosuppressive cells or transforming them into immunostimulatory phenotypes and 2) inhibiting their immunosuppressive or pro-tumor production. Most of the effective agents used in the above strategies are genetic materials (e.g., cDNA, mRNA, or miRNA), proteins, or other small molecules (e.g., peptides), which are limited in their target and instability. Various formulations of drug delivery system (DDS) have been designed to realize the controlled release and targeting delivery of these agents to the tumor sites. Nanoparticles and liposomes are the most frequently exploited materials. Based on current evidence from preclinical and clinical studies, the future of the DDS is promising in cancer immunotherapy since the combination of agents with a DDS has shown increased efficacy and decreased toxicities compared with free agents. In the future, more efforts are needed to further identify the hallmarks and biomarkers in the ovarian TME, which is crucial for the development of more effective, safe, and personalized DDSs.
Collapse
|
18
|
Xu Z, Zhang L, Wang M, Huang Y, Zhang M, Li S, Wang L, Li K, Hou Y. A novel subtype to predict prognosis and treatment response with DNA driver methylation-transcription in ovarian cancer. Epigenomics 2022; 14:1073-1088. [PMID: 36200265 DOI: 10.2217/epi-2022-0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aims: To identify a novel subtype with DNA driver methylation-transcriptomic multiomics and predict prognosis and therapy response in serous ovarian cancer (SOC). Methods: SOC cohorts with both mRNA and methylation were collected, and DNA driver methylation (DNAme) was identified with the MithSig method. A novel prognostic subtype was developed by integrating the information on DNAme and prognosis-regulated DNAme-associated mRNA by similarity network fusion. Results: 43 overlapped DNAme were identified in three independent cohorts. SOC patients were categorized into three distinct subtypes by integrated multiomics. There were differences in prognosis, tumor microenvironment and response to therapy among the subtypes. Conclusion: This study identified 43 DNAmes and proposes a novel subtype toward personalized chemotherapy and immunotherapy for SOC patients based on multiomics.
Collapse
Affiliation(s)
- Zhenyi Xu
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Liuchao Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Meng Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Yue Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Min Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Shuang Li
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Liuying Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Kang Li
- Department of Epidemiology & Biostatistics, School of Public Health, Harbin Medical University, Harbin, 150086, China
| | - Yan Hou
- Department of Biostatistics, Peking University, Beijing, 100000, China
| |
Collapse
|
19
|
Wu LD, Xiao F, Sun JY, Li F, Chen YJ, Chen JY, Zhang J, Qian LL, Wang RX. Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis. Front Genet 2022; 13:971808. [PMID: 36212153 PMCID: PMC9532575 DOI: 10.3389/fgene.2022.971808] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background: As the most prevalent valvular heart disease, calcific aortic valve disease (CAVD) has become a primary cause of aortic valve stenosis and insufficiency. We aim to illustrate the roles of immune related genes (IRGs) and immune cells infiltration in the occurrence of CAVD.Methods: Integrative meta-analysis of expression data (INMEX) was adopted to incorporate multiple gene expression datasets of CAVD from Gene Expression Omnibus (GEO) database. By matching the differentially expressed genes (DEGs) to IRGs from “ImmPort” database, differentially expressed immune related genes (DEIRGs) were screened out. We performed enrichment analysis and found that DEIRGs in CAVD were closely related to inflammatory response and immune cells infiltration. We also constructed protein–protein interaction (PPI) network of DEIRGs and identified 5 key DEIRGs in CAVD according to the mixed character calculation results. Moreover, CIBERSORT algorithm was used to explore the profile of infiltrating immune cells in CAVD. Based on Spearman’s rank correlation method, correlation analysis between key DEIRGs and infiltrating immune cells was performed.Results: A total of 220 DEIRGs were identified and the enrichment analysis of DEIRGs showed that they were significantly enriched in inflammatory responses. PPI network was constructed and PTPN11, GRB2, SYK, PTPN6 and SHC1 were identified as key DEIRGs. Compared with normal aortic valve tissue samples, the proportion of neutrophils, T cells CD4 memory activated and macrophages M0 was elevated in calcified aortic valves tissue samples, as well as reduced infiltration of macrophages M2 and NK cells activated. Furthermore, key DEIRGs identified in the present study, including PTPN11, GRB2, PTPN6, SYK, and SHC1, were all significantly correlated with infiltration of various immune cells.Conclusion: This meta-analysis suggested that PTPN11, GRB2, PTPN6, SYK, and SHC1 might be key DEIRGs associated with immune cells infiltration, which play a pivotal role in pathogenesis of CAVD.
Collapse
Affiliation(s)
- Li-Da Wu
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Feng Xiao
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Jin-Yu Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Feng Li
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Yu-Jia Chen
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Jia-Yi Chen
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Jie Zhang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Ling-Ling Qian
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Ru-Xing Wang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
- *Correspondence: Ru-Xing Wang,
| |
Collapse
|
20
|
James NE, Woodman M, De La Cruz P, Eurich K, Ozsoy MA, Schorl C, Hanley LC, Ribeiro JR. Adaptive transcriptomic and immune infiltrate responses in the tumor immune microenvironment following neoadjuvant chemotherapy in high grade serous ovarian cancer reveal novel prognostic associations and activation of pro-tumorigenic pathways. Front Immunol 2022; 13:965331. [PMID: 36131935 PMCID: PMC9483165 DOI: 10.3389/fimmu.2022.965331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
The high rate of ovarian cancer recurrence and chemoresistance necessitates further research into how chemotherapy affects the tumor immune microenvironment (TIME). While studies have shown that immune infiltrate increases following neoadjuvant (NACT) chemotherapy, there lacks a comprehensive understanding of chemotherapy-induced effects on immunotranscriptomics and cancer-related pathways and their relationship with immune infiltrate and patient responses. In this study, we performed NanoString nCounter® PanCancer IO360 analysis of 31 high grade serous ovarian cancer (HGSOC) patients with matched pre-treatment biopsy and post-NACT tumor. We observed increases in pro-tumorigenic and immunoregulatory pathways and immune infiltrate following NACT, with striking increases in a cohort of genes centered on the transcription factors ATF3 and EGR1. Using quantitative PCR, we analyzed several of the top upregulated genes in HGSOC cell lines, noting that two of them, ATF3 and AREG, were consistently upregulated with chemotherapy exposure and significantly increased in platinum resistant cells compared to their sensitive counterparts. Furthermore, we observed that pre-NACT immune infiltrate and pathway scores were not strikingly related to platinum free interval (PFI), but post-NACT immune infiltrate, pathway scores, and gene expression were. Finally, we found that higher levels of a cohort of proliferative and DNA damage-related genes was related to shorter PFI. This study underscores the complex alterations in the ovarian TIME following chemotherapy exposure and begins to untangle how immunologic factors are involved in mediating chemotherapy response, which will allow for the future development of novel immunologic therapies to combat chemoresistance.
Collapse
Affiliation(s)
- Nicole E. James
- Department of Obstetrics and Gynecology, Program in Women’s Oncology, Women and Infants Hospital, Providence, RI, United States
- Department of Obstetrics and Gynecology, Warren-Alpert Medical School of Brown University, Providence, RI, United States
- *Correspondence: Nicole E. James,
| | - Morgan Woodman
- Department of Obstetrics and Gynecology, Program in Women’s Oncology, Women and Infants Hospital, Providence, RI, United States
| | - Payton De La Cruz
- Pathobiology Graduate Program, Brown University, Providence, RI, United States
| | - Katrin Eurich
- Department of Obstetrics and Gynecology, Program in Women’s Oncology, Women and Infants Hospital, Providence, RI, United States
- Department of Obstetrics and Gynecology, Warren-Alpert Medical School of Brown University, Providence, RI, United States
| | - Melih Arda Ozsoy
- Department of Biochemistry, Brown University, Providence, RI, United States
| | - Christoph Schorl
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, United States
| | - Linda C. Hanley
- Department of Pathology, Women and Infants Hospital, Providence, RI, United States
| | - Jennifer R. Ribeiro
- Department of Obstetrics and Gynecology, Program in Women’s Oncology, Women and Infants Hospital, Providence, RI, United States
- Department of Obstetrics and Gynecology, Warren-Alpert Medical School of Brown University, Providence, RI, United States
| |
Collapse
|
21
|
Identification of Tumor Microenvironment Scoring Scheme Based on Bioinformatics Analysis of Immune Cell Infiltration Pattern of Ovarian Cancer. JOURNAL OF ONCOLOGY 2022; 2022:7745675. [PMID: 36081665 PMCID: PMC9448528 DOI: 10.1155/2022/7745675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 11/22/2022]
Abstract
Background Tumor microenvironment (TME) is the crucial mediator of tumor progression, and the TME model based on immune cell infiltration to characterize ovarian cancer is considered to be a promising strategy. Methods Sample data of three ovarian cancer cohorts were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The scores of 22 kinds of immune cells were calculated based on CIBERSORT, and the TME clusters (TMECs) of ovarian cancer was determined by ConsensusClusterPlus. Genomic subtype was identified by non-negative matrix factorization (NMF). A TME scoring scheme was constructed using k-means algorithm and principal component analysis (PCA) to quantify the TME infiltration pattern of individuals. Results Four TME subtypes of ovarian cancer samples were defined: TMEC1, TMEC2, TMEC3, and TMEC4. There were also significant differences in overall survival (OS) among the four TMEC, and the OS of TMEC3 was the longest. The difference analysis of TMEC3 and the other three TMECs respectively identified the DEGs and took the intersection, and 585 DEGs were obtained. Two genomic subtypes were identified by NMF based on the expression of 585 genes, which were called GeneC1 and GeneC2. The TME scoring scheme constructed by k-means and PCA algorithm was used to calculate the TME score of ovarian cancer in TCGA. High-TME score was significantly correlated with shorter survival time, older age, lower immunoactivated molecules, and immune checkpoint gene expression. Conclusions This study highlighted the complexity and diversity of TME infiltration patterns in ovarian cancer and constructed a set of TME scoring scheme to reveal TME infiltration patterns and provided new insights into the landscape of TME.
Collapse
|
22
|
Menghi F, Banda K, Kumar P, Straub R, Dobrolecki L, Rodriguez IV, Yost SE, Chandok H, Radke MR, Somlo G, Yuan Y, Lewis MT, Swisher EM, Liu ET. Genomic and epigenomic
BRCA
alterations predict adaptive resistance and response to platinum-based therapy in patients with triple-negative breast and ovarian carcinomas. Sci Transl Med 2022; 14:eabn1926. [PMID: 35857626 PMCID: PMC9585706 DOI: 10.1126/scitranslmed.abn1926] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Triple-negative breast cancer (TNBC) and ovarian carcinomas (OvCas) with
BRCA1
promoter methylation (
BRCA1
meth) respond more poorly to alkylating agents compared to those bearing mutations in
BRCA1
and
BRCA2
(
BRCA
mut). This is a conundrum given the biologically equivalent homologous recombination deficiency (HRD) induced by these genetic and epigenetic
BRCA
perturbations. We dissected this problem through detailed genomic analyses of TNBC and OvCa cohorts and experimentation with patient-derived xenografts and genetically engineered cell lines. We found that despite identical downstream genomic mutational signatures associated with
BRCA1
meth and
BRCA
mut states,
BRCA1
meth uniformly associates with poor outcomes. Exposure of
BRCA1
meth TNBCs to platinum chemotherapy, either as clinical treatment of a patient or as experimental in vivo exposure of preclinical patient derived xenografts, resulted in allelic loss of
BRCA1
methylation and increased
BRCA1
expression and platinum resistance. These data suggest that, unlike
BRCA
mut cancers, where
BRCA
loss is a genetically “fixed” deficiency state,
BRCA1
meth cancers are highly adaptive to genotoxin exposure and, through reversal of promoter methylation, recover
BRCA1
expression and become resistant to therapy. We further found a specific augmented immune transcriptional signal associated with enhanced response to platinum chemotherapy but only in patients with BRCA-proficient cancers. We showed how integrating both this cancer immune signature and the presence of
BRCA
mutations results in more accurate predictions of patient response when compared to either HRD status or
BRCA
status alone. This underscores the importance of defining
BRCA
heterogeneity in optimizing the predictive precision of assigning response probabilities in TNBC and OvCa.
Collapse
Affiliation(s)
- Francesca Menghi
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Kalyan Banda
- Division of Medical Oncology, UW Medical Center, Seattle, WA 98195, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pooja Kumar
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Robert Straub
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | | | - Isabel V. Rodriguez
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - Susan E. Yost
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | | | - Marc R. Radke
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - George Somlo
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Yuan Yuan
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Michael T. Lewis
- Departments of Molecular and Cellular Biology and Radiology, Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Houston, TX 77030, USA
| | - Elizabeth M. Swisher
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - Edison T. Liu
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| |
Collapse
|
23
|
Harbison RA, Pandey R, Considine M, Leone RD, Murray-Stewart T, Erbe R, Mandal R, Burns M, Casero RA, Seiwert T, Fakhry C, Pardoll D, Fertig E, Powell JD. Interrogation of T Cell-Enriched Tumors Reveals Prognostic and Immunotherapeutic Implications of Polyamine Metabolism. CANCER RESEARCH COMMUNICATIONS 2022; 2:639-652. [PMID: 36052016 PMCID: PMC9432485 DOI: 10.1158/2767-9764.crc-22-0061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/05/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022]
Abstract
Metabolic features of the tumor microenvironment (TME) antagonize anti-tumor immunity. We hypothesized that T cell infiltrated tumors with a known antigen should exhibit superior clinical outcomes, though some fare worse given unfavorable metabolic features leveraging T cell-infiltrated (Thi), human papillomavirus-related (HPV+) head and neck squamous cell carcinomas (HNSC) to test this hypothesis. Expression of 2,520 metabolic genes were analyzed among Thi HPV+ HNSCs stratified by high-risk molecular subtype. RNAseq data from The Cancer Genome Atlas (TCGA; 10 cancer types), single cell RNAseq data, and an immunotherapy-treated melanoma cohort were used to test the association between metabolic gene expression and clinical outcomes and contribution of tumor versus stromal cells to metabolic gene expression. Polyamine (PA) metabolism genes were overexpressed in high-risk, Thi HPV+ HNSCs. Genes involved in PA biosynthesis and transport were associated with T cell infiltration, recurrent or persistent cancer, overall survival status, primary site, molecular subtype, and MYC genomic alterations. PA biogenesis gene sets were associated with tumor intrinsic features while myeloid cells in HPV+ HNSCs were enriched in PA catabolism, regulatory, transport, putrescine, and spermidine gene set expression. PA gene set expression also correlated with IFNγ or cytotoxic T cell ssGSEA scores across TCGA tumor types. PA transport ssGSEA scores were associated with poor survival whereas putrescine ssGSEA scores portended better survival for several tumor types. Thi melanomas enriched in PA synthesis or combined gene set expression exhibited worse anti-PD-1 responses. These data address hurdles to anti-tumor immunity warranting further investigation of divergent polyamine metabolism in the TME.
Collapse
Affiliation(s)
- R. Alex Harbison
- Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rajeev Pandey
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael Considine
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biomedical Engineering, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert D. Leone
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tracy Murray-Stewart
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rossin Erbe
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Otolaryngology Human Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biomedical Engineering, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Raj Mandal
- Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Mark Burns
- Aminex Therapeutics, Kirkland, Washington
| | - Robert A. Casero
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tanguy Seiwert
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Carole Fakhry
- Department of Otolaryngology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Drew Pardoll
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elana Fertig
- Department of Otolaryngology Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biomedical Engineering, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jonathan D. Powell
- The Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland
| |
Collapse
|
24
|
Ding Z, Shen H, Xu K, Wu Y, Wang S, Yi F, Wang D, Liu Y. Comprehensive Analysis of mTORC1 Signaling Pathway–Related Genes in the Prognosis of HNSCC and the Response to Chemotherapy and Immunotherapy. Front Mol Biosci 2022; 9:792482. [PMID: 35573741 PMCID: PMC9100579 DOI: 10.3389/fmolb.2022.792482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/14/2022] [Indexed: 12/24/2022] Open
Abstract
Objective: The mammalian target of the rapamycin complex 1 (mTORC1) signaling pathway has emerged as a crucial player in the oncogenesis and development of head and neck squamous cell carcinoma (HNSCC), however, to date, no relevant gene signature has been identified. Therefore, we aimed to construct a novel gene signature based on the mTORC1 pathway for predicting the outcomes of patients with HNSCC and their response to treatment. Methods: The gene expression and clinical data were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The key prognostic genes associated with the mTORC1 pathway were screened by univariate Cox regression analyses. A prognostic signature was then established based on significant factors identified in the multivariate Cox regression analysis. The performance of the multigene signature was evaluated by the Kaplan–Meier (K–M) survival analysis and receiver operating characteristic (ROC) analysis. Based on the median risk score, patients were categorized into high- and low-risk groups. Subsequently, a hybrid prognostic nomogram was constructed and estimated by a calibration plot and decision curve analysis. Furthermore, immune cell infiltration and therapeutic responses were compared between the two risk groups. Finally, we measured the expression levels of seven genes by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC). Results: The mTORC1 pathway–based signature was constructed using the seven identified genes (SEC11A, CYB5B, HPRT1, SLC2A3, SC5D, CORO1A, and PIK3R3). Patients in the high-risk group exhibited a lower overall survival (OS) rate than those in the low-risk group in both datasets. Through the univariate and multivariate Cox regression analyses, this gene signature was confirmed to be an independent prognostic risk factor for HNSCC. The constructed nomogram based on age, American Joint Committee on Cancer (AJCC) stage, and the risk score exhibited satisfactory performance in predicting the OS. In addition, immune cell infiltration and chemotherapeutic and immunotherapeutic responses differed significantly between the two risk groups. The expression levels of SEC11A and CYB5B were higher in HNSCC tissues than in normal tissues. Conclusion: Our study established and verified an mTORC1 signaling pathway–related gene signature that could be used as a novel prognostic factor for HNSCC.
Collapse
Affiliation(s)
- Zhao Ding
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
- Graduate School of Anhui Medical University, Hefei, China
| | - Hailong Shen
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
- Graduate School of Anhui Medical University, Hefei, China
| | - Ke Xu
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
- Graduate School of Anhui Medical University, Hefei, China
| | - Yu Wu
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Department of Otolaryngology, General Hospital of Anhui Wanbei Coal Power Group, Suzhou, China
| | - Shuhao Wang
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
- Graduate School of Anhui Medical University, Hefei, China
| | - Fangzheng Yi
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
- Graduate School of Anhui Medical University, Hefei, China
| | - Daming Wang
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yehai Liu
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- *Correspondence: Yehai Liu,
| |
Collapse
|
25
|
Diana P, Carvalheira GMG. NIBAN1, Exploring its Roles in Cell Survival Under Stress Context. Front Cell Dev Biol 2022; 10:867003. [PMID: 35517496 PMCID: PMC9062034 DOI: 10.3389/fcell.2022.867003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Cell survival must quickly activate specific mechanisms that enable to detect changes in the cellular microenvironment. The impact of these cell alteration has direct consequences on cellular homeostasis. Cellular stress, as well as its regulation and implication, has been studied in different pathologies. In this sense, the alteration in NIBAN1 expression seems to act in response to different cellular disturbances. Over the years, the knowledge of NIBAN1 functions has improved, demonstrating its important cell roles, favoring the cell survival under stress context. In response to the disturbances, NIBAN1 seems to be involved in the decision-making process between cell survival and death. The increase in NIBAN1 expression has been related to cellular mechanisms that seek to minimize the damage caused to cellular homeostasis. In this review, the main biological insights attributed to the NIBAN1 gene in different cellular contexts and its role as a mediator of cellular stress are discussed.
Collapse
|
26
|
Shakfa N, Li D, Nersesian S, Wilson-Sanchez J, Koti M. The STING pathway: Therapeutic vulnerabilities in ovarian cancer. Br J Cancer 2022; 127:603-611. [PMID: 35383278 PMCID: PMC9381712 DOI: 10.1038/s41416-022-01797-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 02/25/2022] [Accepted: 03/17/2022] [Indexed: 11/09/2022] Open
Abstract
Ovarian cancer is the leading cause of mortality due to gynecologic malignancy. The majority of women diagnosed with the most common subtype, high-grade serous ovarian carcinoma (HGSC), develop resistance to conventional therapies despite initial response to treatment. HGSC tumors displaying DNA damage repair (DDR) gene deficiency and high chromosomal instability mainly associate with higher cytotoxic immune cell infiltration and expression of genes associated with these immune pathways. Despite the high level of immune infiltration observed, the majority of patients with HGSC have not benefited from immunomodulatory treatments as the mechanistic basis of this infiltration is unclear. This lack of response can be primarily attributed to heterogeneity at the levels of both cancer cell genetic alterations and the tumour immune microenvironment. Strategies to enhance anti-tumour immunity have been investigated in ovarian cancer, of which interferon activating therapies present as an attractive option. Of the several type I interferon (IFN-1) stimulating therapies, exogenously activating the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is emerging as a promising avenue. Herein, we highlight our current understanding of how constitutive and induced cGAS-STING pathway activation influences the ovarian tumour microenvironment. We further elaborate on the links between the genomic alterations prevalent in ovarian tumours and how the resultant immune phenotypes can make them more susceptible to exogenous STING pathway activation and potentiate immune-mediated killing of cancer cells. The therapeutic potential of cGAS-STING pathway activation in ovarian cancer and factors implicating treatment outcomes are discussed, providing a rationale for future combinatorial treatment approaches on the backbone of chemotherapy.
Collapse
Affiliation(s)
- Noor Shakfa
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.,Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Deyang Li
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.,Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Sarah Nersesian
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
| | - Juliette Wilson-Sanchez
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.,Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Madhuri Koti
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada. .,Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada.
| |
Collapse
|
27
|
Wouters R, Westrøm S, Vankerckhoven A, Thirion G, Ceusters J, Claes S, Schols D, Bønsdorff TB, Vergote I, Coosemans A. Effect of Particle Carriers for Intraperitoneal Drug Delivery on the Course of Ovarian Cancer and Its Immune Microenvironment in a Mouse Model. Pharmaceutics 2022; 14:pharmaceutics14040687. [PMID: 35456521 PMCID: PMC9031420 DOI: 10.3390/pharmaceutics14040687] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/11/2022] [Accepted: 03/20/2022] [Indexed: 02/04/2023] Open
Abstract
Novel treatment strategies are needed to provide a better prognosis for ovarian cancer. For this purpose, the current study was designed to evaluate the effects of different types of particle drug carriers on tumor response and on the tumor immune microenvironment (TME) after intraperitoneal (IP) administration in a murine tumor model. Mice with ID8-fLuc ovarian cancer were injected IP with pegylated liposomes, hydroxyapatite, polystyrene, poly(lactic-co-glycolic acid) (PLGA) and calcium carbonate (CaCO3) microparticles to evaluate the effect of the candidate carriers without drugs. Our results show that several types of microparticle drug carriers caused hyperproliferation of the tumor when injected IP, as reflected in a reduced survival or an accelerated onset of ascites. Alterations of the product formulation of CaCO3 microparticles could result in less hyperproliferation. The hyperproliferation caused by CaCO3 and PLGA was largely driven by a strong innate immune suppression. A combination with chemotherapy was not able to sufficiently counteract the tumor progression caused by the drug carriers. This research points towards the importance of evaluating a drug carrier before using it in a therapeutic setting, since drug carriers themselves can detrimentally influence tumor progression and immune status of the TME. However, it remains to be determined whether the hyperproliferation in this model will be of relevance in other cancer models or in humans.
Collapse
Affiliation(s)
- Roxanne Wouters
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium; (A.V.); (G.T.); (J.C.); (A.C.)
- Oncoinvent AS, 0484 Oslo, Norway; (S.W.); (T.B.B.)
- Correspondence:
| | - Sara Westrøm
- Oncoinvent AS, 0484 Oslo, Norway; (S.W.); (T.B.B.)
| | - Ann Vankerckhoven
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium; (A.V.); (G.T.); (J.C.); (A.C.)
| | - Gitte Thirion
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium; (A.V.); (G.T.); (J.C.); (A.C.)
| | - Jolien Ceusters
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium; (A.V.); (G.T.); (J.C.); (A.C.)
| | - Sandra Claes
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, 3000 Leuven, Belgium; (S.C.); (D.S.)
| | - Dominique Schols
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, 3000 Leuven, Belgium; (S.C.); (D.S.)
| | | | - Ignace Vergote
- Department of Obstetrics and Gynecology, Leuven Cancer Institute, University Hospitals Leuven, 3000 Leuven, Belgium;
- Department of Oncology, Gynecological Oncology, KU Leuven, 3000 Leuven, Belgium
| | - An Coosemans
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium; (A.V.); (G.T.); (J.C.); (A.C.)
| |
Collapse
|
28
|
Wu LD, Li F, Chen JY, Zhang J, Qian LL, Wang RX. Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation. BMC Med Genomics 2022; 15:64. [PMID: 35305619 PMCID: PMC8934464 DOI: 10.1186/s12920-022-01212-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/14/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Objective
We aimed to screen out biomarkers for atrial fibrillation (AF) based on machine learning methods and evaluate the degree of immune infiltration in AF patients in detail.
Methods
Two datasets (GSE41177 and GSE79768) related to AF were downloaded from Gene expression omnibus (GEO) database and merged for further analysis. Differentially expressed genes (DEGs) were screened out using “limma” package in R software. Candidate biomarkers for AF were identified using machine learning methods of the LASSO regression algorithm and SVM-RFE algorithm. Receiver operating characteristic (ROC) curve was employed to assess the diagnostic effectiveness of biomarkers, which was further validated in another independent validation dataset of GSE14975. Moreover, we used CIBERSORT to study the proportion of infiltrating immune cells in each sample, and the Spearman method was used to explore the correlation between biomarkers and immune cells.
Results
129 DEGs were identified, and CYBB, CXCR2, and S100A4 were identified as key biomarkers of AF using LASSO regression and SVM-RFE algorithm. Both in the training dataset and the validation dataset, CYBB, CXCR2, and S100A4 showed favorable diagnostic effectiveness. Immune infiltration analysis indicated that, compared with sinus rhythm (SR), the atrial samples of patients with AF contained a higher T cells gamma delta, neutrophils and mast cells resting, whereas T cells follicular helper were relatively lower. Correlation analysis demonstrated that CYBB, CXCR2, and S100A4 were significantly correlated with the infiltrating immune cells.
Conclusions
In conclusion, this study suggested that CYBB, CXCR2, and S100A4 are key biomarkers of AF correlated with infiltrating immune cells, and infiltrating immune cells play pivotal roles in AF.
Collapse
|
29
|
Shen X, Gu X, Ma R, Li X, Wang J. Identification of the Immune Signatures for Ovarian Cancer Based on the Tumor Immune Microenvironment Genes. Front Cell Dev Biol 2022; 10:772701. [PMID: 35372348 PMCID: PMC8974491 DOI: 10.3389/fcell.2022.772701] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 03/02/2022] [Indexed: 11/21/2022] Open
Abstract
Ovarian cancer (OV) is a deadly gynecological cancer. The tumor immune microenvironment (TIME) plays a pivotal role in OV development. However, the TIME of OV is not fully known. Therefore, we aimed to provide a comprehensive network of the TIME in OV. Gene expression data and clinical information from OV patients were obtained from the Cancer Genome Atlas Program (TCGA) database. Non-negative Matrix Factorization, NMFConsensus, and nearest template prediction algorithms were used to perform molecular clustering. The biological functions of differentially expressed genes (DEGs) were identified using Metascape, gene set enrichment analysis (GSEA), gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The copy number variations (CNVs), single nucleotide polymorphisms (SNPs) and tumor mutation burden were analyzed using Gistic 2.0, R package maftools, and TCGA mutations, respectively. Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data and CIBERSORT were utilized to elucidate the TIME. Moreover, external data from the International Cancer Genome Consortium (ICGC) and ArrayExpress databases were used to validate the signature. All 361 samples from the TCGA OV dataset were classified into Immune Class and non-Immune Class with immune signatures. By comparing the two classes, we identified 740 DEGs that accumulated in immune-related, cancer-related, inflammation-related biological functions and pathways. There were significant differences in the CNVs between the Immune and non-Immune Classes. The Immune Class was further divided into immune-activated and immune-suppressed subtypes. There was no significant difference in the top 20 genes in somatic SNPs among the three groups. In addition, the immune-activated subtype had significantly increased proportions of CD4 memory resting T cells, T cells, M1 macrophages, and M2 macrophages than the other two groups. The qRT-PCR results indicated that the mRNA expression levels of RYR2, FAT3, MDN1 and RYR1 were significantly down-regulated in OV compared with normal tissues. Moreover, the signatures of the TIME were validated using ICGC cohort and the ArrayExpress cohort. Our study clustered the OV patients into an immune-activated subtype, immune-suppressed subtype, and non-Immune Class and provided potential clues for further research on the molecular mechanisms and immunotherapy strategies of OV.
Collapse
Affiliation(s)
- Xiaoyan Shen
- Department of Gynecology, Peking University People’s Hospital, Beijing, China
| | - Xiao Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ruiqiong Ma
- Department of Gynecology, Peking University People’s Hospital, Beijing, China
| | - Xiaoping Li
- Department of Gynecology, Peking University People’s Hospital, Beijing, China
| | - Jianliu Wang
- Department of Gynecology, Peking University People’s Hospital, Beijing, China
- *Correspondence: Jianliu Wang,
| |
Collapse
|
30
|
Molecular Mechanism of Gleditsiae Spina for the Treatment of High-Grade Serous Ovarian Cancer Based on Network Pharmacology and Pharmacological Experiments. BIOMED RESEARCH INTERNATIONAL 2022; 2022:5988310. [PMID: 35299895 PMCID: PMC8923798 DOI: 10.1155/2022/5988310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 02/13/2022] [Accepted: 02/22/2022] [Indexed: 11/17/2022]
Abstract
Background Gleditsiae Spina, widely used in traditional Chinese medicine, has a good curative effect on malignant tumors such as ovarian cancer, but the mechanism is not clear. So, we aimed to analyze the pharmacological mechanism of Gleditsiae Spina in the treatment of high-grade serous ovarian cancer (HGSC) based on network pharmacology and biological experiments. Methods The main active ingredients of Gleditsiae Spina were identified by high performance liquid chromatography (HPLC) and mass spectrometry (MS), and the active ingredients were performed by ADME screening. The component targets of Gleditsiae Spina were screened using the PharmMapper platform, and differentially expressed genes in normal and HGSC tissues were identified through the GEO database. Thereafter, the network of “active ingredient-targets” was constructed by cytoscape 3.7.2 software. The protein-protein interaction network was established by the BioGenet database to mine the potential protein function. Biological processes and pathways were analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. The binding ability of the core components of the Gleditsiae Spina and the core target of HGSC was verified by molecular docking and molecular dynamics simulation, and the therapeutic effect of Gleditsiae Spina was proved in vitro through cytotoxicity experiments. The effect of Gleditsiae Spina on the core pathway is obtained by western blotting. Results Gleditsiae Spina had cytotoxicity on HGSC based on network pharmacology and biological experiments. Luteolin, genistein, D-(+)-tryptophan, ursolic acid, and berberine are the identified core active ingredients of Gleditsiae Spina for regulating HGSC, with HPSE, PI3KCA, AKT1, and CTNNB1as the ideal targets. The prediction results were verified by molecular docking, molecular dynamic simulation, cell viability, and western blot analysis. Conclusion Gleditsiae Spina mainly downregulates the expression of heparanase and β-catenin to affect the composition of tumor cytoplasmic matrix and can regulate the PI3K-AKT pathway, integrating multiple targets and multiple pathways to play a therapeutic role. It also provides a theoretical basis for the prevention of ovarian cancer and its treatment using traditional Chinese medicine in the future.
Collapse
|
31
|
Zhang K, Qian Y, Quan X, Zhu T, Qian B. A Novel Signature of Lipid Metabolism-Related Gene Predicts Prognosis and Response to Immunotherapy in Lung Adenocarcinoma. Front Cell Dev Biol 2022; 10:730132. [PMID: 35295857 PMCID: PMC8918775 DOI: 10.3389/fcell.2022.730132] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 02/07/2022] [Indexed: 12/24/2022] Open
Abstract
Background: Lipid metabolism disorder, a new hallmark of cancer initiation, has been involved in lung adenocarcinoma (LUAD). However, few biomarkers about lipid metabolism-related genes (LMRGs) have been developed for prognosis prediction and clinical treatment of LUAD patients.Methods: In this study, we constructed and validated an effective prognostic prediction model for LUAD patients depending on LMRGs. Subsequently, we investigated the prediction model from immune microenvironment, genomic changes, and immunotherapy.Results: Then, eleven LMRGs were identified and applied to LUAD subtyping. In comparison with the high-risk group, the low-risk group exhibited a remarkably favorable prognosis, along with a higher immune score and lower tumor purity. Moreover, the low-risk group presented higher levels of immune checkpoint molecules, lower tumor immune dysfunction and exclusion (TIDE) score and tumor mutation burden (TMB), and higher likelihood of benefiting from immunotherapy. Furthermore, the genomic changes of six LMRGs (CD79A, HACD1, CYP17A1, SLCO1B3, ANGPTL4, and LDHA) were responsible for the difference in susceptibility to LUAD by greatly influencing B-cell activation.Conclusion: Generally speaking, the LMRG model is a reliable independent biomarker for predicting adverse outcomes in LUAD patients and has the potential to facilitate risk-stratified immunotherapy.
Collapse
Affiliation(s)
- Kai Zhang
- Shanghai Tongren Hospital and Faculty of Public Health, Hongqiao International Institute of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Qian
- Shanghai Tongren Hospital and Faculty of Public Health, Hongqiao International Institute of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaowei Quan
- Hongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tengteng Zhu
- Hongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Tengteng Zhu, ; Biyun Qian,
| | - Biyun Qian
- Hongqiao International Institute of Medicine, Shanghai Tongren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Hospital Development Center, Shanghai, China
- *Correspondence: Tengteng Zhu, ; Biyun Qian,
| |
Collapse
|
32
|
Fumet JD, Lardenois E, Ray-Coquard I, Harter P, Joly F, Canzler U, Truntzer C, Tredan O, Liebrich C, Lortholary A, Pissaloux D, Leary A, Pfisterer J, Eeckhoutte A, Hilpert F, Fabbro M, Caux C, Alexandre J, Houlier A, Sehouli J, Sohier E, Kimmig R, Dubois B, Spaeth D, Treilleux I, Frenel JS, Herwig U, Le Saux O, Bendriss-Vermare N, du Bois A. Genomic Instability Is Defined by Specific Tumor Microenvironment in Ovarian Cancer: A Subgroup Analysis of AGO OVAR 12 Trial. Cancers (Basel) 2022; 14:cancers14051189. [PMID: 35267497 PMCID: PMC8909387 DOI: 10.3390/cancers14051189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Following disappointing results with PD-1/PD-L1 inhibitors in ovarian cancer, it is essential to explore other immune targets. The aim of this study is to describe the tumor immune microenvironment (TME) according to genomic instability in high grade serous ovarian carcinoma (HGSOC) patients receiving primary debulking surgery followed by carboplatin-paclitaxel chemotherapy +/− nintedanib. Methods: 103 HGSOC patients’ tumor samples from phase III AGO-OVAR-12 were analyzed. A comprehensive analysis of the TME was performed by immunohistochemistry on tissue microarray. Comparative genomic hybridization was carried out to evaluate genomic instability signatures through homologous recombination deficiency (HRD) score, genomic index, and somatic copy number alterations. The relationship between genomic instability and TME was explored. Results: Patients with high intratumoral CD3+ T lymphocytes had longer progression-free survival (32 vs. 19.6 months, p = 0.009) and overall survival (OS) (median not reached). High HLA-E expression on tumor cells was associated with a longer OS (median OS not reached vs. 52.9 months, p = 0.002). HRD profile was associated with high HLA-E expression on tumor cells and an improved OS. In the multivariate analysis, residual tumor, intratumoral CD3, and HLA-E on tumor cells were more predictive than other parameters. Conclusions: Our results suggest HLA-E/CD94-NKG2A/2C is a potential immune target particularly in the HRD positive ovarian carcinoma subgroup.
Collapse
Affiliation(s)
- Jean-David Fumet
- GINECO & Department of Medical Oncology, Center GF Leclerc, 1 rue du Professeur Marion, 21000 Dijon, France
- Platform of Transfer in Cancer Biology, 21079 Dijon, France;
- University of Bourgogne-Franche-Comté, 21000 Dijon, France
- Correspondence: (J.-D.F.); (N.B.-V.)
| | - Emilie Lardenois
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- Leon Berard Center, Department of Pathology, 69000 Lyon, France; (D.P.); (A.H.); (I.T.)
| | - Isabelle Ray-Coquard
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- GINECO & Medical Oncology Department, Centre Léon Bérard, 28, rue Laennec, Université Claude Bernard Lyon 1, 69008 Lyon, France;
| | - Philipp Harter
- AGO & Department of Gynecology and Gynecologic Oncology, Evang. Kliniken Essen-Mitte, 45136 Essen, Germany;
| | - Florence Joly
- GINECO & Department of Medical Oncology, Baclesse Cancer Center, 14118 Caen, France;
| | - Ulrich Canzler
- AGO & Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany & National Center for Tumor Diseases (NCT), Partner Site Dresden, 01307 Dresden, Germany;
| | - Caroline Truntzer
- Platform of Transfer in Cancer Biology, 21079 Dijon, France;
- Genetic and Immunology Medical Institute (GIMI), 21000 Dijon, France
- UMR INSERM 1231, 21000 Dijon, France
| | - Olivier Tredan
- GINECO & Medical Oncology Department, Centre Léon Bérard, 28, rue Laennec, Université Claude Bernard Lyon 1, 69008 Lyon, France;
| | - Clemens Liebrich
- AGO & Klinikum Wolfsburg, amO—Interdisziplinäres ambulantes Onkologiezentrum am Klieversberg, Sauerbruchstrasse 7, 38840 Wolfsburg, Germany;
| | - Alain Lortholary
- GINECO & Confluent Private Hospital, Institut de Cancérologie Catherine de Sienne, 44200 Nantes, France;
| | - Daniel Pissaloux
- Leon Berard Center, Department of Pathology, 69000 Lyon, France; (D.P.); (A.H.); (I.T.)
- Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Cancer Research Center of Lyon, Equipe Labellisée Ligue contre le Cancer, 69000 Lyon, France
| | - Alexandra Leary
- GINECO & Medical Oncology Department, Institut Gustave Roussy, 94805 Villejuif, France;
| | - Jacobus Pfisterer
- AGO & Zentrum für Gynäkologische Onkologie, Herzog-Friedrich-Str. 21, 24103 Kiel, Germany;
| | - Alexandre Eeckhoutte
- INSERM U830, DNA Repair and Uveal Melanoma (D.R.U.m) PSL Research University, Institut Curie, 75005 Paris, France;
| | - Felix Hilpert
- AGO & Krankenhaus Jerusalem, Moorkamp 2-6, Onkologische Tagesklinik, 20357 Hamburg, Germany;
| | - Michel Fabbro
- GINECO & ICM Val d’Aurelle, oncologie médicale, 208, Avenue des Apothicaires, 34298 Montpellier, France;
| | - Christophe Caux
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- Laboratory for Immunotherapy of Cancer of Lyon (LICL), Centre Léon Bérard, 69000 Lyon, France
| | - Jérôme Alexandre
- GINECO & Medical Oncology Department, Hopital Cochin, 75014 Paris, France;
| | - Aurélie Houlier
- Leon Berard Center, Department of Pathology, 69000 Lyon, France; (D.P.); (A.H.); (I.T.)
- Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Cancer Research Center of Lyon, Equipe Labellisée Ligue contre le Cancer, 69000 Lyon, France
| | - Jalid Sehouli
- AGO & Charité, Medical University of Berlin, Department of Gynecology with Center of Oncological Surgery, Augustenburger Platz 1, 13353 Berlin, Germany;
| | - Emilie Sohier
- Synergie Lyon Cancer, Bio-Informatics Platform, 69000 Lyon, France;
| | - Rainer Kimmig
- AGO & West-German Cancer Center, Department of Gynecology and Obstetrics, University of Duisburg-Essen Germany, 45136 Essen, Germany;
| | - Bertrand Dubois
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- Laboratory for Immunotherapy of Cancer of Lyon (LICL), Centre Léon Bérard, 69000 Lyon, France
| | - Dominique Spaeth
- GINECO & Medical Oncology Department Centre d’Oncologie de Gentilly, 54000 Nancy, France;
| | - Isabelle Treilleux
- Leon Berard Center, Department of Pathology, 69000 Lyon, France; (D.P.); (A.H.); (I.T.)
| | - Jean-Sébastien Frenel
- GINECO & Medical Oncology Department Institut de cancerologie de l’Ouest site René Gauducheau, 44800 Saint Herblain, France;
| | - Uwe Herwig
- AGO & Albertinen-Krankenhaus, Department Gynecology, Süntelstraße 11a, 22457 Hamburg, Germany;
| | - Olivia Le Saux
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- GINECO & Medical Oncology Department, Centre Léon Bérard, 28, rue Laennec, Université Claude Bernard Lyon 1, 69008 Lyon, France;
| | - Nathalie Bendriss-Vermare
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, “Cancer Immune Surveillance and Therapeutic Targeting” Team, 69000 Lyon, France; (E.L.); (I.R.-C.); (C.C.); (B.D.); (O.L.S.)
- Laboratory for Immunotherapy of Cancer of Lyon (LICL), Centre Léon Bérard, 69000 Lyon, France
- Correspondence: (J.-D.F.); (N.B.-V.)
| | - Andreas du Bois
- AGO & Evangelische Kliniken Essen Mitte (KEM), 45136 Essen, Germany;
| |
Collapse
|
33
|
Yang J, Wei X, Hu F, Dong W, Sun L. Development and validation of a novel 3-gene prognostic model for pancreatic adenocarcinoma based on ferroptosis-related genes. Cancer Cell Int 2022; 22:21. [PMID: 35033072 PMCID: PMC8760727 DOI: 10.1186/s12935-021-02431-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/25/2021] [Indexed: 12/24/2022] Open
Abstract
Background Molecular markers play an important role in predicting clinical outcomes in pancreatic adenocarcinoma (PAAD) patients. Analysis of the ferroptosis-related genes may provide novel potential targets for the prognosis and treatment of PAAD. Methods RNA-sequence and clinical data of PAAD was downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) public databases. The PAAD samples were clustered by a non-negative matrix factorization (NMF) algorithm. The differentially expressed genes (DEGs) between different subtypes were used by “limma_3.42.2” package. The R software package clusterProfiler was used for functional enrichment analysis. Then, a multivariate Cox proportional and LASSO regression were used to develop a ferroptosis-related gene signature for pancreatic adenocarcinoma. A nomogram and corrected curves were constructed. Finally, the expression and function of these signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, migration and invasion assays. Results The 173 samples were divided into 3 categories (C1, C2, and C3) and a 3-gene signature model (ALOX5, ALOX12, and CISD1) was constructed. The prognostic model showed good independent prognostic ability in PAAD. In the GSE62452 external validation set, the molecular model also showed good risk prediction. KM-curve analysis showed that there were significant differences between the high and low-risk groups, samples with a high-risk score had a worse prognosis. The predictive efficiency of the 3-gene signature-based nomogram was significantly better than that of traditional clinical features. For comparison with other models, that our model, with a reasonable number of genes, yields a more effective result. The results obtained with qPCR and IHC assays showed that ALOX5 was highly expressed, whether ALOX12 and CISD1 were expressed at low levels in tissue samples. Finally, function assays results suggested that ALOX5 may be an oncogene and ALOX12 and CISD1 may be tumor suppressor genes. Conclusions We present a novel prognostic molecular model for PAAD based on ferroptosis-related genes, which serves as a potentially effective tool for prognostic differentiation in pancreatic cancer patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-021-02431-8.
Collapse
Affiliation(s)
- Jihua Yang
- Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, China
| | - XiaoHong Wei
- Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, China
| | - Fang Hu
- Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, China
| | - Wei Dong
- Department of Pathology, Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University, Shanghai, China.
| | - Liao Sun
- Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, China.
| |
Collapse
|
34
|
Belotti Y, Lim EH, Lim CT. The Role of the Extracellular Matrix and Tumor-Infiltrating Immune Cells in the Prognostication of High-Grade Serous Ovarian Cancer. Cancers (Basel) 2022; 14:404. [PMID: 35053566 PMCID: PMC8773831 DOI: 10.3390/cancers14020404] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/05/2022] [Accepted: 01/11/2022] [Indexed: 12/12/2022] Open
Abstract
Ovarian cancer is the eighth global leading cause of cancer-related death among women. The most common form is the high-grade serous ovarian carcinoma (HGSOC). No further improvements in the 5-year overall survival have been seen over the last 40 years since the adoption of platinum- and taxane-based chemotherapy. Hence, a better understanding of the mechanisms governing this aggressive phenotype would help identify better therapeutic strategies. Recent research linked onset, progression, and response to treatment with dysregulated components of the tumor microenvironment (TME) in many types of cancer. In this study, using bioinformatic approaches, we identified a 19-gene TME-related HGSOC prognostic genetic panel (19 prognostic genes (PLXNB2, HMCN2, NDNF, NTN1, TGFBI, CHAD, CLEC5A, PLXNA1, CST9, LOXL4, MMP17, PI3, PRSS1, SERPINA10, TLL1, CBLN2, IL26, NRG4, and WNT9A) by assessing the RNA sequencing data of 342 tumors available in the TCGA database. Using machine learning, we found that specific patterns of infiltrating immune cells characterized each risk group. Furthermore, we demonstrated the predictive potential of our risk score across different platforms and its improved prognostic performance compared with other gene panels.
Collapse
Affiliation(s)
- Yuri Belotti
- Institute for Health Innovation and Technology, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore;
| | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Center Singapore, 11 Hospital Drive, Singapore 169610, Singapore;
| | - Chwee Teck Lim
- Institute for Health Innovation and Technology, National University of Singapore, 14 Medical Drive, Singapore 117599, Singapore;
- Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, 5A Engineering Drive 1, Singapore 117411, Singapore
| |
Collapse
|
35
|
Li W, Meng X, Yuan H, Xiao W, Zhang X. M2-Polarization-related CNTNAP1 gene might be a novel immunotherapeutic target and biomarker for clear cell renal cell carcinoma. IUBMB Life 2022; 74:391-407. [PMID: 35023290 DOI: 10.1002/iub.2596] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/12/2021] [Accepted: 01/05/2022] [Indexed: 11/11/2022]
Abstract
Clear cell renal carcinoma (ccRCC) is one of the most common malignancies, characterized by high mortality rate in urology. Unfortunately, reliable biomarkers for ccRCC diagnosis and prognosis remain lacking. Contactin Associated Protein 1 (CNTNAP1) has yet to be thoroughly investigated in cancer, especially its relationship with immune infiltration or clinical outcomes of ccRCC. Here, we explored the Cancer Genome Atlas Kidney Clear Cell Carcinoma database (TCGA-KIRC) for prognostic significance, differential expression, and probable mechanism of CNTNAP1. The aberrant CNTNAP1 expression was also validated by international Cancer Genome Consortium (ICGC) and ccRCC clinic samples. We used Database for Annotation, Visualization, and Integrated Discovery (DAVID) to performed the GO & KEGG enrichment. TIMER database was further utilized to assess its correlation with immune infiltration in ccRCC. The the CellMiner database was used to analyse the relationship between CNTNAP1 expression and drug sensitivity. Results showed CNTNAP1 was upregulated in TCGA-KIRC, ICGC and clinic samples. And CNTNAP1 expression was positively related to infiltration levels of cancer-associated fibroblast, regulatory T cells, and Myeloid-derived suppressor cells, while negatively related to eosinophils. Furthermore, we observed CNTNAP1 was appreciably positively associated with alternatively activated macrophage (M2) in ccRCC. Finally, high CNTNAP1 expression was negatively correlated with Nilotinib, Crizotinib, Eribulin mesylate, and Vinorelbine. Collectively, these results strongly suggest that CNTNAP1 might act as an immunotherapeutic target and a promising novel biomarker for ccRCC.
Collapse
Affiliation(s)
- Weiquan Li
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangui Meng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwei Yuan
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wen Xiao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
36
|
Liang ZQ, Zhong LY, Li J, Shen JH, Tu XY, Zhong ZH, Zeng JJ, Chen JH, Wei ZX, Dang YW, Huang SN, Chen G. Clinicopathological significance and underlying molecular mechanism of downregulation of basonuclin 1 expression in ovarian carcinoma. Exp Biol Med (Maywood) 2022; 247:106-119. [PMID: 34644201 PMCID: PMC8777474 DOI: 10.1177/15353702211052036] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
In this study, we aim to identify the clinical significance of basonuclin 1 (BNC1) expression in ovarian carcinoma (OV) and to explore its latent mechanisms. Via integrating in-house tissue microarrays, gene chips, and RNA-sequencing data, we explored the expression and clinical value of BNC1 in OV. Immunohistochemical staining was utilized to confirm the protein expression status of BNC1. A combined SMD of -2.339 (95% CI: -3.649 to -1.028, P < 0.001) identified that BNC1 was downregulated based on 1346 samples, and the sROC (AUC = 0.93) showed a favorable discriminatory ability of BNC1 in OV patients. We used univariate and multivariate Cox regulation to evaluate the prognostic role of BNC1 for OV patients, and a combined hazard ratio of 0.717 (95% CI: 0.445-0.989, P < 0.001) revealed that BNC1 was a protective factor for OV. Furthermore, the fraction of infiltrating naive B cells, memory B cells, and other immune cells showed statistical differences between the high- and low-BNC1 expression groups through cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm. Enrichment analysis showed that BNC1 may have a relationship with immune-related items in OV. By predicting the potential regulatory transcription factors (TFs) of BNC1, friend leukemia virus integration 1 (FLI1) may be a potential upstream TF of BNC1. Corporately, a decreasing trend of BNC1 may serve as a tumor suppressor and prognostic biomarker in OV patients. Moreover, BNC1 may take part in immune-related pathways and influence the fraction of tumor-infiltrating immune cells.
Collapse
Affiliation(s)
- Zi-Qian Liang
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Lu-Yang Zhong
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Jie Li
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Jin-Hai Shen
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Xin-Yue Tu
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Zheng-Hong Zhong
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Jing-Jing Zeng
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Jun-Hong Chen
- Department of Pathology, Maternal and Child Health Hospital of
Guangxi Zhuang Autonomous Region, Nanning 530003, P. R. China
| | - Zhu-Xin Wei
- Department of Radiotherapy, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Yi-Wu Dang
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
| | - Su-Ning Huang
- Department of Radiotherapy, Guangxi Medical University Cancer
Hospital, Nanning 530021, P.R. China
| | - Gang Chen
- Department of Pathology, The First Affiliated Hospital of
Guangxi Medical University, Nanning 530021, P. R. China
- Gang Chen.
| |
Collapse
|
37
|
Ren X, Wang X, Peng B, Liang Q, Cai Y, Gao K, Hu Y, Xu Z, Yan Y. Significance of TEAD Family in Diagnosis, Prognosis and Immune Response for Ovarian Serous Carcinoma. Int J Gen Med 2021; 14:7133-7143. [PMID: 34737608 PMCID: PMC8558638 DOI: 10.2147/ijgm.s336602] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/19/2021] [Indexed: 02/05/2023] Open
Abstract
Purpose To explore the molecular profiles of transcriptional enhanced associate domain (TEAD) family in ovarian serous carcinoma (OSC). Methods In this study, we use bioinformatics methods including GEPIA, GE-mini, Oncomine 3.0, Kaplan–Meier plotter, cBioPortal, WebGestalt, TIMER2.0 and DiseaseMeth2.0, and in vitro experimental RT-PCR to assess the expression profiles and prognostic significance of TEAD family in OSC. Results According to the bioinformatics analysis, TEAD family was abnormally expressed in OSC. In terms of prognosis, Kaplan–Meier plotter indicated that OSC patients with high level of TEAD4 showed poor overall survival (OS), progression-free survival (PFS) and post progression survival (PPS). TEAD family also had significantly diagnostic values for OSC patients. Tumor Immune Estimation Resource (TIMER) algorithm indicated that TEAD family was significantly associated with different types of infiltrating immune cells, including B cells, macrophages, dendritic cells, neutrophils, CD8+ T cells and CD4+ T cells. Gene set enrichment analysis of TEAD family-associated coexpression genes was further explored. In in vitro experiments, the RT-PCR results showed the upregulated TEAD2/4 in OSC tissues and cells (A2780 and TOV112D). Moreover, decreased expression of TEAD2 could induce the ferroptosis through increasing the ROS accumulation. Conclusion Thus, TEAD family correlated with the diagnosis, prognosis and immune infiltration in OSC. These results could provide comprehensive understanding of TEAD family in the diagnosis and prognosis of OSC patients.
Collapse
Affiliation(s)
- Xinxin Ren
- Center for Molecular Medicine, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Xiang Wang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Bi Peng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Qiuju Liang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Yuan Cai
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Kewa Gao
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Yongbin Hu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Zhijie Xu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Yuanliang Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| |
Collapse
|
38
|
Li H, Wu M, Wu Z, Liang J, Wang L, Yang X, Lin Z, Li J. Prognostic value of preoperative soluble interleukin 2 receptor α as a novel immune biomarker in epithelial ovarian cancer. Cancer Immunol Immunother 2021; 71:1519-1530. [PMID: 34724091 DOI: 10.1007/s00262-021-03092-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 10/12/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE Epithelial ovarian cancer (EOC) is regarded as the deadliest gynecological cancer, and the demand for novel noninvasive prognostic biomarkers remains significant. This study aimed to investigate the prognostic value of preoperative blood biomarkers in EOC patients. METHODS In total, 73 patients who had undergone ovarian mass resection were enrolled. Serum concentration of biomarkers, including soluble interleukin 2 receptor α (sIL-2R), was measured 1-2 weeks before surgery. Independent prognostic factors for progression-free survival (PFS) were investigated with multivariate Cox regression analysis. A prognostic model was subsequently developed and evaluated by discrimination, calibration and clinical net benefit. Furthermore, transcriptome data of 376 EOC cases from The Cancer Genome Atlas (TCGA) were analyzed with ESTIMATE, CIBERSORT and Maftools algorithm to evaluate the correlation of IL2RA expression with tumor immune microenvironment and immunotherapeutic response. RESULTS High sIL-2R concentration was found to be the only significant prognostic blood biomarker for PFS by multivariate Cox regression analysis in our center. A prognostic nomogram was developed with satisfactory discrimination, calibration and clinical net benefit. In addition, higher IL2RA expression was significantly associated with higher immune scores, activated CD4+ T cells, M2 macrophages and resting dendritic cells in TCGA data. Furthermore, IL2RA expression was closely related to TMB scores. CONCLUSIONS sIL-2R is a potential prognostic immune biomarker for EOC patients, and a comprehensive prognostic model comprising sIL-2R with satisfactory discrimination and clinical appliance was developed. Therefore, we recommend routine sIL-2R testing in EOC patients.
Collapse
Affiliation(s)
- Hui Li
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumors, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Miaofang Wu
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China
| | - Zhuna Wu
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China
| | - Jinxiao Liang
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China
| | - Lijuan Wang
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China
| | - Xi Yang
- Center for Reproductive Medicine, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Zhongqiu Lin
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China.
| | - Jing Li
- Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yanjiang West Road, Guangzhou, People's Republic of China. .,Guangdong Provincial Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumors, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
| |
Collapse
|
39
|
Liang YL, Lin CN, Tsai HF, Wu PY, Lin SH, Hong TM, Hsu KF. Omental Macrophagic "Crown-like Structures" Are Associated with Poor Prognosis in Advanced-Stage Serous Ovarian Cancer. ACTA ACUST UNITED AC 2021; 28:4234-4246. [PMID: 34677277 PMCID: PMC8534828 DOI: 10.3390/curroncol28050359] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/29/2021] [Accepted: 10/16/2021] [Indexed: 12/11/2022]
Abstract
The tumor microenvironment is a well-recognized framework in which immune cells present in the tumor microenvironment promote or inhibit cancer formation and development. A crown-like structure (CLS) has been reported as a dying or dead adipocyte surrounded by a 'crown' of macrophages within adipose tissue, which is a histologic hallmark of the inflammatory process in this tissue. CLSs have also been found to be related to formation, progression and prognosis of some types of cancer. However, the presence of CLSs in the omentum of advanced-stage high-grade serous ovarian carcinoma (HGSOC) has not been thoroughly investigated. By using CD68, a pan-macrophage marker, and CD163, an M2-like polarization macrophage marker, immunohistochemistry (IHC) was performed to identify tumor-associated macrophages (TAMs) and CLSs. This retrospective study analyzed 116 patients with advanced-stage HGSOC who received complete treatment and had available clinical data from July 2008 through December 2016 at National Cheng Kung University Hospital (NCKUH) (Tainan, Taiwan). Based on multivariate Cox regression analysis, patients with omental CD68+ CLSs had poor OS (median survival: 24 vs. 38 months, p = 0.001, hazard ratio (HR): 2.26, 95% confidence interval (CI): 1.41-3.61); patients with omental CD163+ CLSs also had poor OS (median survival: 22 vs. 36 months, HR: 2.14, 95%CI: 1.33-3.44, p = 0.002). Additionally, patients with omental CD68+ or CD163+ CLSs showed poor PFS (median survival: 11 vs. 15 months, HR: 2.28, 95%CI: 1.43-3.64, p = 0.001; median survival: 11 vs. 15 months, HR: 2.17, 95%CI: 1.35-3.47, respectively, p = 0.001). Conversely, the density of CD68+ or CD163+ TAMs in ovarian tumors was not associated with patient prognosis in advanced-stage HGSOC in our cohort. In conclusion, we, for the first time, demonstrate that the presence of omental CLSs is associated with poor prognosis in advanced-stage HGSOC.
Collapse
Affiliation(s)
- Yu-Ling Liang
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-L.L.); (C.-N.L.); (H.-F.T.); (P.-Y.W.)
| | - Chang-Ni Lin
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-L.L.); (C.-N.L.); (H.-F.T.); (P.-Y.W.)
| | - Hsing-Fen Tsai
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-L.L.); (C.-N.L.); (H.-F.T.); (P.-Y.W.)
| | - Pei-Ying Wu
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-L.L.); (C.-N.L.); (H.-F.T.); (P.-Y.W.)
| | - Sheng-Hsiang Lin
- Graduate Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
| | - Tse-Ming Hong
- Graduate Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Correspondence: (T.-M.H.); (K.-F.H.); Tel.: +886-6-2353535 (ext. 4259) (T.-M.H.); +886-6-2353535 (ext. 5263) (K.-F.H.); Fax: +886-6-2359885 (T.-M.H.); +886-6-2766185 (K.-F.H.)
| | - Keng-Fu Hsu
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan; (Y.-L.L.); (C.-N.L.); (H.-F.T.); (P.-Y.W.)
- Graduate Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan;
- Correspondence: (T.-M.H.); (K.-F.H.); Tel.: +886-6-2353535 (ext. 4259) (T.-M.H.); +886-6-2353535 (ext. 5263) (K.-F.H.); Fax: +886-6-2359885 (T.-M.H.); +886-6-2766185 (K.-F.H.)
| |
Collapse
|
40
|
Cornelison R, Biswas K, Llaneza DC, Harris AR, Sosale NG, Lazzara MJ, Landen CN. CX-5461 Treatment Leads to Cytosolic DNA-Mediated STING Activation in Ovarian Cancer. Cancers (Basel) 2021; 13:cancers13205056. [PMID: 34680204 PMCID: PMC8533980 DOI: 10.3390/cancers13205056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/29/2021] [Accepted: 10/07/2021] [Indexed: 12/23/2022] Open
Abstract
Epithelial ovarian cancer (EOC) is the deadliest of the gynecologic malignancies, with an overall survival rate of <30%. Recent research has suggested that targeting RNA polymerase I (POL I) with small-molecule inhibitors may be a viable therapeutic approach to combating EOC, even when chemoresistance is present. CX-5461 is one of the most promising POL I inhibitors currently being investigated, and previous reports have shown that CX-5461 treatment induces DNA damage response (DDR) through ATM/ATR kinase. Investigation into downstream effects of CX-5461 led us to uncovering a previously unreported phenotype. Treatment with CX-5461 induces a rapid accumulation of cytosolic DNA. This accumulation leads to transcriptional upregulation of 'STimulator of Interferon Genes' (STING) in the same time frame, phosphorylation of IRF3, and activation of type I interferon response both in vitro and in vivo. This activation is mediated and dependent on cyclic GMP-AMP synthase (cGAS). Here, we show THAT CX-5461 leads to an accumulation of cytosolic dsDNA and thereby activates the cGAS-STING-TBK1-IRF3 innate immune pathway, which induces type I IFN. CX-5461 treatment-mediated immune activation may be a powerful mechanism of action to exploit, leading to novel drug combinations with a chance of increasing immunotherapy efficacy, possibly with some cancer specificity limiting deleterious toxicities.
Collapse
Affiliation(s)
- Robert Cornelison
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA 22908, USA; (R.C.); (K.B.); (D.C.L.); (A.R.H.)
| | - Kuntal Biswas
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA 22908, USA; (R.C.); (K.B.); (D.C.L.); (A.R.H.)
| | - Danielle C. Llaneza
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA 22908, USA; (R.C.); (K.B.); (D.C.L.); (A.R.H.)
| | - Alexandra R. Harris
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA 22908, USA; (R.C.); (K.B.); (D.C.L.); (A.R.H.)
| | - Nisha G. Sosale
- Department of Chemical Engineering, University of Virginia, Charlottesville, VA 22908, USA; (N.G.S.); (M.J.L.)
| | - Matthew J. Lazzara
- Department of Chemical Engineering, University of Virginia, Charlottesville, VA 22908, USA; (N.G.S.); (M.J.L.)
| | - Charles N. Landen
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA 22908, USA; (R.C.); (K.B.); (D.C.L.); (A.R.H.)
- Correspondence: ; Tel.: +1-434-243-6131
| |
Collapse
|
41
|
Gjorgoska M, Rižner TL. Estrogens and the Schrödinger's Cat in the Ovarian Tumor Microenvironment. Cancers (Basel) 2021; 13:cancers13195011. [PMID: 34638494 PMCID: PMC8508344 DOI: 10.3390/cancers13195011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/29/2021] [Accepted: 10/02/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Ovarian cancer is a complex pathology for which we require effective screening and therapeutical strategies. Apart from the cancer cell portion, there exist plastic immune and non-immune cell populations, jointly constituting the context-adaptive tumor microenvironment, which is pivotal in tumorigenesis. Estrogens might be synthesized in the ovarian tumor tissue and actively contribute to the shaping of an immunosuppressive microenvironment. Current immune therapies have limited effectiveness as a multitude of factors influence the outcome. A thorough understanding of the ovarian cancer biology is crucial in the efforts to reestablish homeostasis. Abstract Ovarian cancer is a heterogeneous disease affecting the aging ovary, in concert with a complex network of cells and signals, together representing the ovarian tumor microenvironment. As in the “Schrödinger’s cat” thought experiment, the context-dependent constituents of the—by the time of diagnosis—well-established tumor microenvironment may display a tumor-protective and -destructive role. Systemic and locally synthesized estrogens contribute to the formation of a pro-tumoral microenvironment that enables the sustained tumor growth, invasion and metastasis. Here we focus on the estrogen biosynthetic and metabolic pathways in ovarian cancer and elaborate their actions on phenotypically plastic, estrogen-responsive, aging immune cells of the tumor microenvironment, altogether highlighting the multicomponent-connectedness and complexity of cancer, and contributing to a broader understanding of the ovarian cancer biology.
Collapse
|
42
|
Meng X, Yuan H, Li W, Xiong Z, Dong W, Xiao W, Zhang X. Solute carrier family 16 member 5 downregulation and its methylation might serve as a prognostic indicator of prostate cancer. IUBMB Life 2021; 73:1363-1377. [PMID: 34549875 DOI: 10.1002/iub.2560] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/04/2021] [Accepted: 09/13/2021] [Indexed: 02/06/2023]
Abstract
Prostate cancer (PCa), characterized by high invasion, metastasis, and recurrence, is the most prevalent malignant tumor in men worldwide. A clear understanding of the underlying molecular mechanisms and their role during PCa tumorigenesis can help develop prognostic and targeted therapies. We analyzed datasets from public databases, including the Cancer Genome Atlas (TCGA) and Oncomine and Gene Expression Profiling Interactive Analysis for differential expression of solute carrier family 16 member 5 (SLC16A5). We further investigated its relationship with clinical stage, pathological grade, and prognosis of PCa. The promoter methylation level of SLC16A5 in PCa was also investigated by UALCAN. We also utilized datasets from UCSC Xena to explore the prognostic role of SLC16A5 methylation levels and CpG site. Correlations between SLC16A5 and immune infiltration were discovered through TIMER. We observed significantly lower levels of SLC16A5 mRNA in PCa relative to normal tissues across six datasets from Oncomine database (p < .001) and 498 cases from TCGA database (p < .0001). SLC16A5 is strongly negatively regulated by its DNA methylation, with a Spearman of -0.81 and Pearson of -0.80 (p < .001). The aberrant SLC16A5 expression resulted in a significant relationship with clinical stage, pathological grade, and lower SLC16A5 mRNA expression, and its hypermethylation was related to a poorer PCa prognosis. SLC16A5 acted as an important factor for PCa diagnosis, with an AUC of 0.9038 (95% CI: 0.8597-0.9479; p < .0001). Besides, the aberrant SLC16A5 expression revealed close correlations with multiple immune cells. Overall, these results indicate that decreased SLC16A5 expression might be a potential biomarker for determining prognosis and immune infiltration in PCa. The positive SLC16A5 modulation might be a promising therapeutic target for PCa.
Collapse
Affiliation(s)
- Xiangui Meng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwei Yuan
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiquan Li
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyong Xiong
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Dong
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wen Xiao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China.,Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
43
|
Winkler C, King M, Berthe J, Ferraioli D, Garuti A, Grillo F, Rodriguez-Canales J, Ferrando L, Chopin N, Ray-Coquard I, Delpuech O, Rinchai D, Bedognetti D, Ballestrero A, Leo E, Zoppoli G. SLFN11 captures cancer-immunity interactions associated with platinum sensitivity in high-grade serous ovarian cancer. JCI Insight 2021; 6:146098. [PMID: 34549724 PMCID: PMC8492341 DOI: 10.1172/jci.insight.146098] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 07/28/2021] [Indexed: 01/30/2023] Open
Abstract
Large independent analyses on cancer cell lines followed by functional studies have identified Schlafen 11 (SLFN11), a putative helicase, as the strongest predictor of sensitivity to DNA-damaging agents (DDAs), including platinum. However, its role as a prognostic biomarker is undefined, partially due to the lack of validated methods to score SLFN11 in human tissues. Here, we implemented a pipeline to quantify SLFN11 in human cancer samples. By analyzing a cohort of high-grade serous ovarian carcinoma (HGSOC) specimens before platinum-based chemotherapy treatment, we show, for the first time to our knowledge, that SLFN11 density in both the neoplastic and microenvironmental components was independently associated with favorable outcome. We observed SLFN11 expression in both infiltrating innate and adaptive immune cells, and analyses in a second, independent, cohort revealed that SLFN11 was associated with immune activation in HGSOC. We found that platinum treatments activated immune-related pathways in ovarian cancer cells in an SLFN11-dependent manner, representative of tumor-immune transactivation. Moreover, SLFN11 expression was induced in activated, isolated immune cell subpopulations, hinting that SLFN11 in the immune compartment may be an indicator of immune transactivation. In summary, we propose SLFN11 is a dual biomarker capturing simultaneously interconnected immunological and cancer cell–intrinsic functional dispositions associated with sensitivity to DDA treatment.
Collapse
Affiliation(s)
| | | | - Julie Berthe
- Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - Anna Garuti
- Department of Internal Medicine and Medical Specialties and
| | - Federica Grillo
- Department of Integrated Surgical and Diagnostic Sciences, University of Genova, Genova, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | | | | | | | | | | | - Davide Bedognetti
- Department of Internal Medicine and Medical Specialties and.,Cancer Research Department, Sidra Medicine, Doha, Qatar.,Hamad Bin Khalifa University, Doha, Qatar
| | - Alberto Ballestrero
- Department of Internal Medicine and Medical Specialties and.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Gabriele Zoppoli
- Department of Internal Medicine and Medical Specialties and.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| |
Collapse
|
44
|
Ye L, Wang L, Yang J, Hu P, Zhang C, Tong S, Liu Z, Tian D. Identification of Tumor Antigens and Immune Landscape in Glioblastoma for mRNA Vaccine Development. Front Genet 2021; 12:701065. [PMID: 34527020 PMCID: PMC8435740 DOI: 10.3389/fgene.2021.701065] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/29/2021] [Indexed: 12/21/2022] Open
Abstract
Background: Clinical benefits from standard therapies against glioblastoma (GBM) are limited in part due to the intrinsic radio- and chemo-resistance. As an essential part of tumor immunotherapy for adjunct, therapeutic tumor vaccines have been effective against multiple solid cancers, while their efficacy against GBM remains undefined. Therefore, this study aims to find the possible tumor antigens of GBM and identify the suitable population for cancer vaccination through immunophenotyping. Method: The genomic and responding clinical data of 169 GBM samples and five normal brain samples were obtained from The Cancer Genome Atlas (TCGA). The mRNA_seq data of 940 normal brain tissue were downloaded from Genotype-Tissue Expression (GTEx). Potential GBM mRNA antigens were screened out by differential expression, copy number variant (CNV), and mutation analysis. K-M survival and Cox analysis were carried out to investigate the prognostic association of potential tumor antigens. Tumor Immune Estimation Resource (TIMER) was used to explore the association between the antigens and tumor immune infiltrating cells (TIICs). Immunophenotyping of 169 samples was performed through consensus clustering based on the abundance of 22 kinds of immune cells. The characteristics of the tumor immune microenvironment (TIME) in each cluster were explored through single-sample gene set enrichment analysis based on 29 kinds of immune-related hallmarks and pathways. Weighted gene co-expression network analysis (WGCNA) was performed to cluster the genes related to immune subtypes. Finally, pathway enrichment analyses were performed to annotate the potential function of modules screened through WGCNA. Results: Two potential tumor antigens selected were significantly positively associated with the antigen-presenting immune cells (APCs) in GBM. Furthermore, the expression of antigens was verified at the protein level by Immunohistochemistry. Two robust immune subtypes, immune subtype 1 (IS1) and immune subtype 2 (IS2), representing immune status "immune inhibition" and "immune inflamed", respectively, had distinct clinical outcomes in GBM. Conclusion: ARPC1B and HK3 were potential mRNA antigens for developing GBM mRNA vaccination, and the patients in IS2 were considered the most suitable population for vaccination in GBM.
Collapse
Affiliation(s)
- Liguo Ye
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Long Wang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ji'an Yang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ping Hu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Chunyu Zhang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shi'ao Tong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhennan Liu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Daofeng Tian
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| |
Collapse
|
45
|
Wang YY, Shi LY, Xu MH, Jing Y, Sun CC, Yang JH, Wang RN, Sheng NN, Zhang CF, Zhang L, Zhu ZT, Wang QJ. A pan-cancer analysis of the expression of gasdermin genes in tumors and their relationship with the immune microenvironment. Transl Cancer Res 2021; 10:4125-4147. [PMID: 35116710 PMCID: PMC8797575 DOI: 10.21037/tcr-21-1635] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/14/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Gasdermins (GSDMs) are a class of proteins related to pyrolysis and in humans, consist of GSDMA, GSDMB, GSDMC, GSDMD, DFNA5, and DFNB59. The inflammatory factors and cell contents released during pyrolysis can recruit immune cells and change the microenvironment. However, to date, there is a paucity of studies examining the relationship between GSDMs and the immune microenvironment in tumors. Therefore, this current report analyzed the expression of GSDM genes in tumors and their relationship with the immune microenvironment. METHODS Apply GSCALite and GEPIA2 online analysis tools to analyze the gene expression levels and the Single nucleotide variant (SNV), copy number variation (CNV), and methylation characteristics of GSDM genes respectively. Use R software or TISIDB online analysis tool to carry out the correlation analysis required in the article. Furthermore, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to examine the role of these GSDM genes in various cancers. RESULTS The results demonstrated that CNV can cause an increase in GSDM gene expression, and methylation can inhibit GSDM gene expression. The elevated expression of GSDMA, GSDMB, GSDMC, GSDMD, and DFNA5 in some or most tumors was often accompanied by elevated immune scores, increased immune cell infiltration, and high expression of major histocompatibility complex (MHC) molecules, chemokines and their receptors, and immune checkpoint-related genes. However, DFNB59 was often negatively correlated with these indicators in tumors. GSDMD was the most highly expressed GSDM protein in various normal tissues and tumors, and showed the strongest correlation with immune microenvironment-related genes. Moreover, the methylation of GSDMD was accompanied by low immune cell infiltration, low expression of MHC molecule-related genes, low expression of chemokines and receptor-related genes, and low expression of immune checkpoint-related genes. CONCLUSIONS Therefore, the expression of GSDM-related genes is associated with the tumor immune microenvironment. The GSDM genes, especially GSDMD, may be used as therapeutic targets to predict or change the tumor microenvironment and as biomarkers to predict the therapeutic efficacy of immune checkpoint inhibitors.
Collapse
Affiliation(s)
- Yuan-Yuan Wang
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Lin-Yang Shi
- Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Ming-Hao Xu
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Yu Jing
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Cui-Cui Sun
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Jia-Hui Yang
- Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Ruo-Nan Wang
- Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Ning-Ning Sheng
- Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Ca-Fa Zhang
- Department of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Li Zhang
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Zhi-Tu Zhu
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Qing-Jun Wang
- Department of Clinical Trial, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| |
Collapse
|
46
|
Olbrecht S, Busschaert P, Qian J, Vanderstichele A, Loverix L, Van Gorp T, Van Nieuwenhuysen E, Han S, Van den Broeck A, Coosemans A, Van Rompuy AS, Lambrechts D, Vergote I. High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification. Genome Med 2021; 13:111. [PMID: 34238352 PMCID: PMC8268616 DOI: 10.1186/s13073-021-00922-x] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 06/08/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND High-grade serous tubo-ovarian cancer (HGSTOC) is characterised by extensive inter- and intratumour heterogeneity, resulting in persistent therapeutic resistance and poor disease outcome. Molecular subtype classification based on bulk RNA sequencing facilitates a more accurate characterisation of this heterogeneity, but the lack of strong prognostic or predictive correlations with these subtypes currently hinders their clinical implementation. Stromal admixture profoundly affects the prognostic impact of the molecular subtypes, but the contribution of stromal cells to each subtype has poorly been characterised. Increasing the transcriptomic resolution of the molecular subtypes based on single-cell RNA sequencing (scRNA-seq) may provide insights in the prognostic and predictive relevance of these subtypes. METHODS We performed scRNA-seq of 18,403 cells unbiasedly collected from 7 treatment-naive HGSTOC tumours. For each phenotypic cluster of tumour or stromal cells, we identified specific transcriptomic markers. We explored which phenotypic clusters correlated with overall survival based on expression of these transcriptomic markers in microarray data of 1467 tumours. By evaluating molecular subtype signatures in single cells, we assessed to what extent a phenotypic cluster of tumour or stromal cells contributes to each molecular subtype. RESULTS We identified 11 cancer and 32 stromal cell phenotypes in HGSTOC tumours. Of these, the relative frequency of myofibroblasts, TGF-β-driven cancer-associated fibroblasts, mesothelial cells and lymphatic endothelial cells predicted poor outcome, while plasma cells correlated with more favourable outcome. Moreover, we identified a clear cell-like transcriptomic signature in cancer cells, which correlated with worse overall survival in HGSTOC patients. Stromal cell phenotypes differed substantially between molecular subtypes. For instance, the mesenchymal, immunoreactive and differentiated signatures were characterised by specific fibroblast, immune cell and myofibroblast/mesothelial cell phenotypes, respectively. Cell phenotypes correlating with poor outcome were enriched in molecular subtypes associated with poor outcome. CONCLUSIONS We used scRNA-seq to identify stromal cell phenotypes predicting overall survival in HGSTOC patients. These stromal features explain the association of the molecular subtypes with outcome but also the latter's weakness of clinical implementation. Stratifying patients based on marker genes specific for these phenotypes represents a promising approach to predict prognosis or response to therapy.
Collapse
Affiliation(s)
- Siel Olbrecht
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium.
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium.
- VIB Centre for Cancer Biology, Leuven, Belgium.
| | - Pieter Busschaert
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - Junbin Qian
- VIB Centre for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Adriaan Vanderstichele
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - Liselore Loverix
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
- VIB Centre for Cancer Biology, Leuven, Belgium
| | - Toon Van Gorp
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - Els Van Nieuwenhuysen
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - Sileny Han
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - Annick Van den Broeck
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| | - An Coosemans
- Department of Oncology, Laboratory of Tumour Immunology and Immunotherapy, KU Leuven, Leuven, Belgium
| | - Anne-Sophie Van Rompuy
- Department of Imaging and Pathology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Diether Lambrechts
- VIB Centre for Cancer Biology, Leuven, Belgium.
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
| | - Ignace Vergote
- Department of Obstetrics and Gynaecology, Division of Gynaecological Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of Oncology, Laboratory of Gynaecologic Oncology, KU Leuven, Leuven, Belgium
| |
Collapse
|
47
|
Extracellular Vesicle Transmission of Chemoresistance to Ovarian Cancer Cells Is Associated with Hypoxia-Induced Expression of Glycolytic Pathway Proteins, and Prediction of Epithelial Ovarian Cancer Disease Recurrence. Cancers (Basel) 2021; 13:cancers13143388. [PMID: 34298602 PMCID: PMC8305505 DOI: 10.3390/cancers13143388] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 06/27/2021] [Accepted: 06/29/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Ovarian cancer is one of the most lethal cancers affecting women worldwide. Its high mortality rate is often attributed to the non-specific nature of early symptoms of the disease. Developing a better understanding of the disease progression and identifying clinically useful biomarkers that aid in clinical management are requisite to reducing the mortality rate of ovarian cancer. Reduced oxygen tension (i.e., hypoxia) is not only a characteristic of solid tumors but may also enhance the metastatic capacity of tumors by inducing the release of tumor growth promoting factors. Recently, it has been proposed that small tumor-derived extracellular vesicles (sEVs) facilitate cancer progression. In this study, we established that sEVs produced under low oxygen tension induce a metabolic switch in ovarian cancer cells associated with changes in glycolytic pathway proteins that promote resistance to carboplatin. Significantly, we identified a suite of sEV-associated glycolysis pathway proteins that are present in patients with ovarian cancer that can predict disease recurrence with over 90% accuracy. Abstract Hypoxia is a key regulator of cancer progression and chemoresistance. Ambiguity remains about how cancer cells adapt to hypoxic microenvironments and transfer oncogenic factors to surrounding cells. In this study, we determined the effects of hypoxia on the bioactivity of sEVs in a panel of ovarian cancer (OvCar) cell lines. The data obtained demonstrate a varying degree of platinum resistance induced in OvCar cells when exposed to low oxygen tension (1% oxygen). Using quantitative mass spectrometry (Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectra, SWATH) and targeted multiple reaction monitoring (MRM), we identified a suite of proteins associated with glycolysis that change under hypoxic conditions in cells and sEVs. Interestingly, we identified a differential response to hypoxia in the OvCar cell lines and their secreted sEVs, highlighting the cells’ heterogeneity. Proteins are involved in metabolic reprogramming such as glycolysis, including putative hexokinase (HK), UDP-glucuronosyltransferase 1–6 (UD16), and 6-phosphogluconolactonase (6 PGL), and their presence correlates with the induction of platinum resistance. Furthermore, when normoxic cells were exposed to sEVs from hypoxic cells, platinum-resistance increased significantly (p < 0.05). Altered chemoresistance was associated with changes in glycolysis and fatty acid synthesis. Finally, sEVs isolated from a clinical cohort (n = 31) were also found to be enriched in glycolysis-pathway proteins, especially in patients with recurrent disease. These data support the hypothesis that hypoxia induces changes in sEVs composition and bioactivity that confers carboplatin resistance on target cells. Furthermore, we propose that the expression of sEV-associated glycolysis-pathway proteins is predictive of ovarian cancer recurrence and is of clinical utility in disease management.
Collapse
|
48
|
Kang SW, Rainczuk A, Oehler MK, Jobling TW, Plebanski M, Stephens AN. Active Ratio Test (ART) as a Novel Diagnostic for Ovarian Cancer. Diagnostics (Basel) 2021; 11:diagnostics11061048. [PMID: 34200333 PMCID: PMC8230042 DOI: 10.3390/diagnostics11061048] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 01/04/2023] Open
Abstract
Background: Despite substantial effort, there remains a lack of biomarker-based, clinically relevant testing for the accurate, non-invasive diagnostic or prognostic profiling of epithelial ovarian cancers (EOC). Our previous work demonstrated that whilst the inflammatory marker C-X-C motif chemokine ligand 10 (CXCL10) has prognostic relevance in ovarian cancer, its use is complicated by the presence of multiple, N-terminally modified variants, mediated by several enzymes including Dipeptidyl Peptidase 4 (DPP4). Methods: In this study, we provide the first evidence for the “Active Ratio Test” (ART) as a novel method to measure biologically relevant CXCL10 proteoforms in clinical samples. Results: In a cohort of 275 patients, ART accurately differentiated patients with malignant EOCs from those with benign gynaecological conditions (AUC 0.8617) and significantly out-performed CA125 alone. Moreover, ART combined with the measurement of CA125 and DPP4 significantly increased prognostic performance (AUC 0.9511; sensitivity 90.0%; specificity 91.7%; Cohen’s d > 1) for EOC detection. Conclusion: Our data demonstrate that ART provides a useful method to accurately discriminate between patients with benign versus malignant EOC, and highlights their relevance to ovarian cancer diagnosis. This marker combination may also be applicable in broader screening applications, to identify or discriminate benign from malignant disease in asymptomatic women.
Collapse
Affiliation(s)
- Sung-Woog Kang
- Hudson Institute of Medical Research, Clayton 3168, Australia; (S.-W.K.); (A.R.)
- Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia
| | - Adam Rainczuk
- Hudson Institute of Medical Research, Clayton 3168, Australia; (S.-W.K.); (A.R.)
- Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia
- Bruker Pty Ltd., Preston 3072, Australia
| | - Martin K. Oehler
- Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide 5000, Australia;
- Robinson Institute, University of Adelaide, Adelaide 5000, Australia
| | - Thomas W. Jobling
- Department of Gynaecology Oncology, Monash Medical Centre, Bentleigh East 3165, Australia;
| | - Magdalena Plebanski
- School of Health and Biomedical Sciences, RMIT University, Bundoora 3083, Australia;
| | - Andrew N. Stephens
- Hudson Institute of Medical Research, Clayton 3168, Australia; (S.-W.K.); (A.R.)
- Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia
- Correspondence:
| |
Collapse
|
49
|
Chen S, Wang C, Su X, Dai X, Li S, Mo Z. KCNN4 is a potential prognostic marker and critical factor affecting the immune status of the tumor microenvironment in kidney renal clear cell carcinoma. Transl Androl Urol 2021; 10:2454-2470. [PMID: 34295732 PMCID: PMC8261455 DOI: 10.21037/tau-21-332] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
Background The tumor microenvironment (TME) has emerged as a crucial factor in cancer development and progression. Recent findings have indicated that tumor-infiltrating immune cells (TICs) in the TME may predict cancer prognosis and response to treatment. Herein, we sought to identify critical modulators of the kidney renal clear cell carcinoma (KIRC) TME. Methods KIRC datasets from The Cancer Genome Atlas (TCGA) were analyzed using the ESTIMATE algorithm to determine the ImmuneScore and StromalScore. By profiling the differentially expressed genes (DEGs) in the ImmuneScore and StromalScore, we finally identified the immune- and stromal-related DEGs of the cases, through which we then performed intersection analysis to determine the immune-related genes (IRGs). Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were used to identify critical IRGs and construct a prognostic model. The CIBERSORT algorithm was used to calculate the relative content of 22 immune cell types. Finally, the datasets from the Gene Expression Omnibus (GEO) database were analyzed to validate results from the above analyses. Experimental validation was used on KIRC tissues by quantitative polymerase chain reaction (qPCR) and western blot. Results We found that the ImmuneScore was negatively correlated with patients’ prognosis. Intersection analysis of the ImmuneScore and StromalScore identified 118 IRGs that were enriched in immune-related functions. Following IRGs screening by Cox and LASSO regression analyses, six genes were identified and used to construct a KIRC prognostic model. Intersection analysis of these six genes and protein-protein interaction (PPI) were performed and obtained the most critical gene: Potassium Calcium-Activated Channel Subfamily N Member 4 (KCNN4). Further analysis showed that KCNN4 expression was higher in tumor samples relative to normal controls, and was negatively correlated with prognosis. CIBERSORT analysis revealed significant correlation between KCNN4 expression and multiple types of TICs, demonstrating that KCNN4 may affect KIRC prognosis by influencing the TME immune status. Ultimately, the GEO datasets and validation experiments confirmed that KCNN4 was highly expressed in tumor tissues compared to the corresponding normal tissues. Conclusions Our study demonstrated that KCNN4 might be a potential prognostic marker in KIRC, offering a novel therapeutic avenue.
Collapse
Affiliation(s)
- Shaohua Chen
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory of Colleges and Universities, Nanning, China
| | - Chengbang Wang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory of Colleges and Universities, Nanning, China
| | - Xiaotao Su
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaodi Dai
- Guangxi Medical University, Nanning, China
| | - Songheng Li
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning, China.,Guangxi Key Laboratory of Colleges and Universities, Nanning, China
| |
Collapse
|
50
|
Immune System-Related Changes in Preclinical GL261 Glioblastoma under TMZ Treatment: Explaining MRSI-Based Nosological Imaging Findings with RT-PCR Analyses. Cancers (Basel) 2021; 13:cancers13112663. [PMID: 34071393 PMCID: PMC8199490 DOI: 10.3390/cancers13112663] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/23/2021] [Accepted: 05/25/2021] [Indexed: 01/02/2023] Open
Abstract
Glioblastomas (GB) are brain tumours with poor prognosis even after aggressive therapy. Previous work suggests that magnetic resonance spectroscopic imaging (MRSI) could act as a biomarker of efficient immune system attack onto GB, presenting oscillatory changes. Glioma-associated microglia/macrophages (GAMs) constitute the most abundant non-tumour cell type within the GB and can be polarised into anti-tumour (M1) or pro-tumour (M2) phenotypes. One of the mechanisms to mediate immunosuppression in brain tumours is the interaction between programmed cell death-1 ligand 1 (PD-L1) and programmed cell death-1 receptor (PD-1). We evaluated the subpopulations of GAMs in responding and control GB tumours to correlate PD-L1 expression to GAM polarisation in order to explain/validate MRSI-detected findings. Mice were evaluated by MRI/MRSI to assess the extent of response to treatment and with qPCR for GAMs M1 and M2 polarisation analyses. M1/M2 ratios and PD-L1 expression were higher in treated compared to control tumours. Furthermore, PD-L1 expression was positively correlated with the M1/M2 ratio. The oscillatory change in the GAMs prevailing population could be one of the key causes for the differential MRSI-detected pattern, allowing this to act as immune system activity biomarker in future work.
Collapse
|