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Zeng H, Pan W, Xia Q, Shu H, Ji Z. Diagnostic, prognostic, and immunological roles of CDSN in ovarian cancer. Heliyon 2024; 10:e33357. [PMID: 39027431 PMCID: PMC11254609 DOI: 10.1016/j.heliyon.2024.e33357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/20/2024] Open
Abstract
Globally, ovarian cancer (OC) ranks as a principal cause of cancer-related mortality in females. Immunotherapy has revolutionized the treatment of OC, but the efficacy of immunotherapy is often limited by different immune microenvironments. The objective of this research was to pinpoint and validate candidate genes with potential value as diagnostic and prognostic biomarkers and therapeutic targets in OC. Data on genes associated with gene mutation, prognostic survival, and immune infiltration in OC were procured from the Cancer Genome Atlas (TCGA). Gene differential analysis, mutation site analysis, prognosis and survival analysis, and functional and signaling pathway enrichment analysis were conducted to identify and evaluate key genes. The genes were further investigated using immune infiltration analysis, receiver operating characteristic curves, and immunohistochemistry. The impact of CDSN on OC cell proliferation was investigated utilizing CCK-8, colony formation, and apoptosis detection assays. We identified a set of genes (CDSN, WARS, and CD38) that were highly expressed in OC and significantly associated with mutations and prognosis. Immune infiltration analysis and immunohistochemistry results indicated a correlation with immune infiltration in the tumor microenvironment, particularly in antigen-presenting cells. Receiver operating characteristic curve analysis demonstrated the diagnostic potential of these three genes in OC, with all three genes showing the area under the curve (AUC) above 0.8. In vitro studies suggested that knocked down CDSN expression resulted in a marked lower in the proliferative capacity of OC cells. The candidate gene CDSN identified through bioinformatics analysis and in vitro experiments is associated with mutation and immune infiltration, showing promise as a diagnostic and prognostic biomarker, as well as a therapeutic objective in OC.
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Affiliation(s)
- Huan Zeng
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Wei Pan
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, Shanghai, 200444, China
| | - Qiuyi Xia
- Department of Clinical Laboratory, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Hong Shu
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Zhaodong Ji
- Department of Clinical Laboratory, Huashan Hospital, Fudan University, Shanghai, 200040, China
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2
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Yao Y, Zhang H, Liu H, Teng C, Che X, Bian W, Zhang W, Wang Z. CT-based radiomics predicts CD38 expression and indirectly reflects clinical prognosis in epithelial ovarian cancer. Heliyon 2024; 10:e32910. [PMID: 38948050 PMCID: PMC11211891 DOI: 10.1016/j.heliyon.2024.e32910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 05/29/2024] [Accepted: 06/11/2024] [Indexed: 07/02/2024] Open
Abstract
Background Cluster of differentiation 38 (CD38) has been found to be highly expressed in various solid tumours, and its expression level may be associated with patient prognosis and survival. This study aimed to evaluate the prognostic value of CD38 expression for patients with epithelial ovarian cancer (EOC) and construct two computed tomography (CT)-based radiomics models for predicting CD38 expression. Methods A total of 333 cases of EOC were enrolled from The Cancer Genome Atlas (TCGA) database for CD38-related bioinformatics and survival analysis. A total of 56 intersection cases from TCGA and The Cancer Imaging Archive (TCIA) databases were selected for radiomics feature extraction and model construction. Logistic regression (LR) and support vector machine (SVM) models were constructed and internally validated using 5-fold cross-validation to assess the performance of the models for CD38 expression levels. Results High CD38 expression was an independent protective factor (HR = 0.540) for overall survival (OS) in EOC patients. Five radiomics features based on CT images were selected to build models for the prediction of CD38 expression. In the training and internal validation sets, for the receiver operating characteristic (ROC) curve, the LR model reached an area under the curve (AUC) of 0.739 and 0.732, while the SVM model achieved AUC values of 0.741 and 0.700, respectively. For the precision-recall (PR) curve, the LR and SVM models demonstrated an AUC of 0.760 and 0.721. The calibration curves and decision curve analysis (DCA) provided evidence supporting the fitness and net benefit of the models. Conclusions High levels of CD38 expression can improve OS in EOC patients. CT-based radiomics models can be a new predictive tool for CD38 expression, offering possibilities for individualised survival assessment for patients with EOC.
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Affiliation(s)
- Yuan Yao
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Haijin Zhang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Hui Liu
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Chendi Teng
- Department of Radiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, China
| | - Xuan Che
- Department of Gynecology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang, 314000, China
| | - Wei Bian
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Wenting Zhang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Zhifeng Wang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
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Scholl JN, Weber AF, Dias CK, Lima VP, Grun LK, Zambonin D, Anzolin E, Dos Santos Dias WW, Kus WP, Barbé-Tuana F, Battastini AMO, Worm PV, Figueiró F. Characterization of purinergic signaling in tumor-infiltrating lymphocytes from lower- and high-grade gliomas. Purinergic Signal 2024; 20:47-64. [PMID: 36964277 PMCID: PMC10828327 DOI: 10.1007/s11302-023-09931-4] [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: 12/08/2022] [Accepted: 03/06/2023] [Indexed: 03/26/2023] Open
Abstract
Malignant gliomas are highly heterogeneous glia-derived tumors that present an aggressive and invasive nature, with a dismal prognosis. The multi-dimensional interactions between glioma cells and other tumor microenvironment (TME) non-tumoral components constitute a challenge to finding successful treatment strategies. Several molecules, such as extracellular purines, participate in signaling events and support the immunosuppressive TME of glioma patients. The purinergic signaling and the ectoenzymes network involved in the metabolism of these extracellular nucleotides are still unexplored in the glioma TME, especially in lower-grade gliomas (LGG). Also, differences between IDH-mutant (IDH-Mut) versus wild-type (IDH-WT) gliomas are still unknown in this context. For the first time, to our knowledge, this study characterizes the TME of LGG, high-grade gliomas (HGG) IDH-Mut, and HGG IDH-WT patients regarding purinergic ectoenzymes and P1 receptors, focusing on tumor-infiltrating lymphocytes. Here, we show that ectoenzymes from both canonical and non-canonical pathways are increased in the TME when compared to the peripheral blood. We hypothesize this enhancement supports extracellular adenosine generation, hence increasing TME immunosuppression.
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Affiliation(s)
- Juliete Nathali Scholl
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil
| | - Augusto Ferreira Weber
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil
| | - Camila Kehl Dias
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil
| | - Vinícius Pierdoná Lima
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil
| | - Lucas Kich Grun
- Programa de Pós-Graduação Em Pediatria E Saúde da Criança, Escola de Medicina, PUCRS, Porto Alegre, RS, Brazil
| | - Diego Zambonin
- Departamento de Neurocirurgia, Hospital Cristo Redentor, Porto Alegre, Brazil
| | - Eduardo Anzolin
- Departamento de Neurocirurgia, Hospital Cristo Redentor, Porto Alegre, Brazil
| | | | | | - Florencia Barbé-Tuana
- Programa de Pós-Graduação Em Biologia Celular E Molecular, Escola de Ciências da Saúde E da Vida, PUCRS, Porto Alegre, RS, Brazil
| | - Ana Maria Oliveira Battastini
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil
| | - Paulo Valdeci Worm
- Departamento de Neurocirurgia, Hospital Cristo Redentor, Porto Alegre, Brazil
- Departmento de Cirurgia, Universidade Federal de Ciências da Saúde de Porto Alegre, Rio Grande Do Sul, Porto Alegre, Brazil
| | - Fabrício Figueiró
- Programa de Pós-Graduação Em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil.
- Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, UFRGS, Porto Alegre, RS, Brazil.
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Perrone R, Ashok Kumaar PV, Haky L, Hahn C, Riley R, Balough J, Zaza G, Soygur B, Hung K, Prado L, Kasler HG, Tiwari R, Matsui H, Hormazabal GV, Heckenbach I, Scheibye-Knudsen M, Duncan FE, Verdin E. CD38 regulates ovarian function and fecundity via NAD + metabolism. iScience 2023; 26:107949. [PMID: 37822499 PMCID: PMC10562803 DOI: 10.1016/j.isci.2023.107949] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/24/2023] [Accepted: 09/14/2023] [Indexed: 10/13/2023] Open
Abstract
Mammalian female reproductive lifespan is typically significantly shorter than life expectancy and is associated with a decrease in ovarian NAD+ levels. However, the mechanisms underlying this loss of ovarian NAD+ are unclear. Here, we show that CD38, an NAD+ consuming enzyme, is expressed in the ovarian extrafollicular space, primarily in immune cells, and its levels increase with reproductive age. Reproductively young mice lacking CD38 exhibit larger primordial follicle pools, elevated ovarian NAD+ levels, and increased fecundity relative to wild type controls. This larger ovarian reserve results from a prolonged window of follicle formation during early development. However, the beneficial effect of CD38 loss on reproductive function is not maintained at advanced age. Our results demonstrate a novel role of CD38 in regulating ovarian NAD+ metabolism and establishing the ovarian reserve, a critical process that dictates a female's reproductive lifespan.
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Affiliation(s)
| | | | - Lauren Haky
- Buck Institute for Research on Aging, Novato, CA, USA
- The Dominican University of California, San Rafael, CA, USA
| | - Cosmo Hahn
- Buck Institute for Research on Aging, Novato, CA, USA
| | | | - Julia Balough
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Giuliana Zaza
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Bikem Soygur
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Kaitlyn Hung
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Leandro Prado
- Buck Institute for Research on Aging, Novato, CA, USA
| | | | - Ritesh Tiwari
- Buck Institute for Research on Aging, Novato, CA, USA
| | | | | | - Indra Heckenbach
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Morten Scheibye-Knudsen
- Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Francesca E. Duncan
- Buck Institute for Research on Aging, Novato, CA, USA
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA
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Yang J, Wang C, Zhang Y, Cheng S, Wu M, Gu S, Xu S, Wu Y, Sheng J, Voon DCC, Wang Y. Clinical significance and immune infiltration analyses of a novel coagulation-related signature in ovarian cancer. Cancer Cell Int 2023; 23:232. [PMID: 37803446 PMCID: PMC10559580 DOI: 10.1186/s12935-023-03040-3] [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: 06/12/2023] [Accepted: 08/25/2023] [Indexed: 10/08/2023] Open
Abstract
Ovarian cancer (OV) is the most lethal gynecological malignancies worldwide. The coagulation cascade could induce tumor cell infiltration and contribute to OV progression. However, coagulation-related gene (CRG) signature for OV prognosis hasn't been determined yet. In this study, we evaluated the prognostic value of coagulation scores through receiver operating characteristics (ROC) analysis and K-M curves, among OV patients at our institution. Based on the transcriptome data of TCGA-OV cohort, we stratified two coagulation-related subtypes with distinct differences in prognosis and tumor immune microenvironment (p < 0.05). Moreover, from the 6406 differentially-expressed genes (DEGs) between the GTEx (n = 180) and TCGA-OV cohorts (n = 376), we identified 138 potential CRGs. Through LASSO-Cox algorithm, we finally distinguished a 3-gene signature (SERPINA10, CD38, and ZBTB16), with promising prognostic ability in both TCGA (p < 0.001) and ICGC cohorts (p = 0.040). Stepwise, we constructed a nomogram based on the clinical features and coagulation-related signature for overall survival prediction, with the C-index of 0.6761, which was evaluated by calibration curves. Especially, based on tissue microarrays analysis, Quantitative real-time fluorescence PCR (qRT-PCR), and Western Blot, we found that aberrant upregulation of CRGs was related to poor prognosis in OV at both mRNA and protein level (p < 0.05). Collectively, the coagulation-related signature was a robust prognostic biomarker, which could provide therapeutic benefits for chemotherapy/immunotherapy and assist clinical decision in OV patients.
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Affiliation(s)
- Jiani Yang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092 China
| | - Chao Wang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092 China
| | - Yue Zhang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092 China
| | - Shanshan Cheng
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Meixuan Wu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Sijia Gu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Shilin Xu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yongsong Wu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jindan Sheng
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092 China
| | - Dominic Chih-Cheng Voon
- Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 9201192 Japan
- Institute of Frontier Sciences Initiative, Kanazawa University, Kanazawa, Ishikawa 9201192 Japan
| | - Yu Wang
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092 China
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Zhao J, Han H, Wang R, Wang Y, Zhang Y, Li N, Wang B, Chu Z, Zhang Y, Zhang H. Identification of N1 methyladenosine-related biomarker predicting overall survival outcomes and experimental verification in ovarian cancer. J Obstet Gynaecol Res 2023; 49:2457-2467. [PMID: 37435915 DOI: 10.1111/jog.15745] [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: 12/05/2022] [Accepted: 07/04/2023] [Indexed: 07/13/2023]
Abstract
AIM This study aimed to construct a N1-methyladenosine (m1A)-related biomarker model for predicting the prognosis of ovarian cancer (OVCA). METHODS OVCA samples were clustered into two subtypes using the Non-Negative Matrix Factorization (NMF) algorithm, including TCGA (n = 374) as the training set and GSE26712 (n = 185) as the external validation set. Hub genes, which were screened to construct a risk model, and nomogram to predict the overall survival of OVCA were explored and validated through various bioinformatic analysis and quantitative real-time PCR. RESULTS Following bootstrap correction, the C-index of nomogram was 0.62515, showing reliable performance. The functions of DEGs in the high- and low-risk groups were mainly enriched in immune response, immune regulation, and immune-related diseases. The immune cells relevant to the expression of hub genes were explored, for example, Natural Killer (NK) cells, T cells, activated dendritic cells (aDC). CONCLUSIONS AADAC, CD38, CACNA1C, and ATP1A3 might be used as m1A-related biomarkers for OVCA, and the nomogram labeled with m1A for the first time had excellent performance for predicting overall survival in OVCA.
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Affiliation(s)
- Jing Zhao
- Department of Obstetrics and Gynecology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Hua Han
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Runfang Wang
- Department of Obstetrics, Hebei General Hospital, Shijiazhuang, China
| | - Yazhuo Wang
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Yuan Zhang
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Na Li
- Department of Oncology, Hebei General Hospital, Shijiazhuang, China
| | - Bei Wang
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Zhaoping Chu
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Yunxia Zhang
- Department of Gynecology, Hebei General Hospital, Shijiazhuang, China
| | - Hongzhen Zhang
- Department of Obstetrics and Gynecology, The First Hospital of Hebei Medical University, Shijiazhuang, China
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Pankowska KA, Będkowska GE, Chociej-Stypułkowska J, Rusak M, Dąbrowska M, Osada J. Crosstalk of Immune Cells and Platelets in an Ovarian Cancer Microenvironment and Their Prognostic Significance. Int J Mol Sci 2023; 24:ijms24119279. [PMID: 37298230 DOI: 10.3390/ijms24119279] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/17/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Ovarian cancer (OC) is one of the deadliest gynecological cancers, largely due to the fast development of metastasis and drug resistance. The immune system is a critical component of the OC tumor microenvironment (TME) and immune cells such as T cells, NK cells, and dendritic cells (DC) play a key role in anti-tumor immunity. However, OC tumor cells are well known for evading immune surveillance by modulating the immune response through various mechanisms. Recruiting immune-suppressive cells such as regulatory T cells (Treg cells), macrophages, or myeloid-derived suppressor cells (MDSC) inhibit the anti-tumor immune response and promote the development and progression of OC. Platelets are also involved in immune evasion by interaction with tumor cells or through the secretion of a variety of growth factors and cytokines to promote tumor growth and angiogenesis. In this review, we discuss the role and contribution of immune cells and platelets in TME. Furthermore, we discuss their potential prognostic significance to help in the early detection of OC and to predict disease outcome.
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Affiliation(s)
- Katarzyna Aneta Pankowska
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
| | - Grażyna Ewa Będkowska
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
| | - Joanna Chociej-Stypułkowska
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
| | - Małgorzata Rusak
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
| | - Milena Dąbrowska
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
| | - Joanna Osada
- Department of Haematological Diagnostics, Medical University of Bialystok, Waszyngtona 15A Street, 15-269 Bialystok, Poland
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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.
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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
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9
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Li L, Chen D, Luo X, Wang Z, Yu H, Gao W, Zhong W. Identification of CD8 + T Cell Related Biomarkers in Ovarian Cancer. Front Genet 2022; 13:860161. [PMID: 35711935 PMCID: PMC9196910 DOI: 10.3389/fgene.2022.860161] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Immunotherapy is a promising strategy for ovarian cancer (OC), and this study aims to identify biomarkers related to CD8+ T cell infiltration to further discover the potential therapeutic target. Methods: Three datasets with OC transcriptomic data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Two immunotherapy treated cohorts were obtained from the Single Cell Portal and Mariathasan's study. The infiltration fraction of immune cells was quantified using three different algorithms, Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT), and microenvironment cell populations counter (MCPcounter), and single-sample GSEA (ssGSEA). Weighted gene co-expression network analysis (WGCNA) was applied to identify the co-expression modules and related genes. The nonnegative matrix factorization (NMF) method was proposed for sample classification. The mutation analysis was conducted using the "maftools" R package. Key molecular markers with implications for prognosis were screened by univariate COX regression analysis and K-M survival analysis, which were further determined by the receiver operating characteristic (ROC) curve. Results: A total of 313 candidate CD8+ T cell-related genes were identified by taking the intersection from the TCGA-OV and GSE140082 cohorts. The NMF clustering analysis suggested that patients in the TCGA-OV cohort were divided into two clusters and the Cluster 1 group showed a worse prognosis. In contrast, Cluster 2 had higher amounts of immune cell infiltration, elevated ssGSEA scores in immunotherapy, and a higher mutation burden. CSMD3, MACF1, PDE4DIP, and OBSCN were more frequently mutated in Cluster 1, while SYNE2 was more frequently mutated in Cluster 2. CD38 and CXCL13 were identified by univariate COX regression analysis and K-M survival analysis in the TCGA-OV cohort, which were further externally validated in GSE140082 and GSE32062. Of note, patients with lower CXCL13 expression showed a worse prognosis and the CR/PR group had a higher expression of CXCL13 in two immunotherapy treated cohorts. Conclusion: OC patients with different CD8+ T cell infiltration had distinct clinical prognoses. CXCL13 might be a potential therapeutic target for the treatment of OC.
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Affiliation(s)
- Ling Li
- Department of Anesthesiology, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Foshan, China
| | - Dian Chen
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolin Luo
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, China
| | - Zhengkun Wang
- Department of Anesthesiology, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Foshan, China
| | | | - Weicheng Gao
- Department of Urology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
- *Correspondence: Weicheng Gao, ; Weiqiang Zhong,
| | - Weiqiang Zhong
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, China
- *Correspondence: Weicheng Gao, ; Weiqiang Zhong,
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10
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Construction of a Macrophage Infiltration Regulatory Network and Related Prognostic Model of High-Grade Serous Ovarian Cancer. JOURNAL OF ONCOLOGY 2021; 2021:1331031. [PMID: 34868310 PMCID: PMC8635947 DOI: 10.1155/2021/1331031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 10/27/2021] [Accepted: 11/02/2021] [Indexed: 01/31/2023]
Abstract
Background High-grade serous ovarian cancer (HGSOC) carries the highest mortality in the gynecological cancers; however, therapeutic outcomes have not significantly improved in recent decades. Macrophages play an essential role in the occurrence and development of ovarian cancer, so the mechanisms of macrophage infiltration should be elucidated. Method We downloaded transcriptome data of ovarian cancers from the Gene Expression Omnibus and The Cancer Genome Atlas. After rigorous screening, 1566 HGSOC were used for data analysis. CIBERSORT was used to estimate the level of macrophage infiltration and WGCNA was used to identify macrophage-related modules. We constructed a macrophage-related prognostic model using machine learning LASSO algorithm and verified it using multiple HGSOC cohorts. Results In the GPL570-OV cohort, high infiltration level of M1 macrophages was associated with a good outcome, while high infiltration level of M2 macrophages was associated with poor outcomes. We used WGCNA to select genes correlated with macrophage infiltration. These genes were used to construct protein-protein interaction maps of macrophage infiltration. IFL44L, RSAD2, IFIT3, MX1, IFIH1, IFI44, and ISG15 were the hub genes in the network. We then constructed a macrophage-related prognostic model composed of CD38, ACE2, BATF2, HLA-DOB, and WARS. The model had the ability to predict the overall survival rate of HGSOC patients in GPL570-OV, GPL6480-OV, TCGA-OV, GSE50088, and GSE26712. In exploring the immune microenvironment, we found that CD4 memory T cells and activated mast cells showed that the degree of infiltration was higher in the high-risk group, while M1 macrophages were the opposite, and HLA molecules were overexpressed in the high-risk group. Conclusion We constructed a macrophage infiltration-related protein interaction network that provides a basis for studying macrophages in HGSOC. Our macrophage-related prognostic model is robust and widely applicable. It predicts overall survival in HGSOC patients and may improve HGSOC treatment.
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11
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An Integrative Pan-Cancer Analysis of the Oncogenic Role of COPB2 in Human Tumors. BIOMED RESEARCH INTERNATIONAL 2021; 2021:7405322. [PMID: 34676262 PMCID: PMC8526247 DOI: 10.1155/2021/7405322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/09/2021] [Accepted: 09/23/2021] [Indexed: 01/13/2023]
Abstract
Several studies have suggested that coatomer protein complex subunit beta 2 (COPB2) may act as an oncogene in various cancer types. However, no systematic pan-cancer analysis has been performed to date. Therefore, the present study analyzed the potential oncogenic role of COPB2 using TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) datasets. The majority of the cancer types overexpressed the COPB2 protein, and its expression significantly correlated with tumor prognosis. In certain tumors, such as those found in breast and ovarian tissues, phosphorylated S859 exhibited high expression. It was found that mutations of the COPB2 protein in kidney and endometrial cancers exhibited a significant impact on patient prognosis. It is interesting to note that COPB2 expression correlated with the number of cancer-associated fibroblasts in certain tumors, such as cervical and endocervical cancers and colon adenocarcinomas. In addition, COPB2 was involved in the transport of substances and correlated with chemotherapy sensitivity. This is considered the first pan-tumor study, which provided a relatively comprehensive understanding of the mechanism by which COPB2 promotes cancer growth.
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12
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Fucikova J, Coosemans A, Orsulic S, Cibula D, Vergote I, Galluzzi L, Spisek R. Immunological configuration of ovarian carcinoma: features and impact on disease outcome. J Immunother Cancer 2021; 9:jitc-2021-002873. [PMID: 34645669 PMCID: PMC8515436 DOI: 10.1136/jitc-2021-002873] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2021] [Indexed: 12/20/2022] Open
Abstract
Epithelial ovarian carcinoma (EOC) is a relatively rare malignancy but is the fifth-leading cause of cancer-related death in women, largely reflecting early, prediagnosis dissemination of malignant disease to the peritoneum. At odds with other neoplasms, EOC is virtually insensitive to immune checkpoint inhibitors, correlating with a tumor microenvironment that exhibits poor infiltration by immune cells and active immunosuppression. Here, we comparatively summarize the humoral and cellular features of primary and metastatic EOC, comparatively analyze their impact on disease outcome, and propose measures to alter them in support of treatment sensitivity and superior patient survival.
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Affiliation(s)
- Jitka Fucikova
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, Leuven, Belgium
| | - Sandra Orsulic
- UCLA David Geffen School of Medicine and Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California, USA
| | - David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ignace Vergote
- Division of Gynecological Oncology, Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
| | - Lorenzo Galluzzi
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Sandra and Edward Meyer Cancer Center, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, New York, NY, USA
| | - Radek Spisek
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
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13
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Pisano S, Lenna S, Healey GD, Izardi F, Meeks L, Jimenez YS, Velazquez OS, Gonzalez D, Conlan RS, Corradetti B. Assessment of the immune landscapes of advanced ovarian cancer in an optimized in vivo model. Clin Transl Med 2021; 11:e551. [PMID: 34709744 PMCID: PMC8506632 DOI: 10.1002/ctm2.551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Ovarian cancer (OC) is typically diagnosed late, associated with high rates of metastasis and the onset of ascites during late stage disease. Understanding the tumor microenvironment and how it impacts the efficacy of current treatments, including immunotherapies, needs effective in vivo models that are fully characterized. In particular, understanding the role of immune cells within the tumor and ascitic fluid could provide important insights into why OC fails to respond to immunotherapies. In this work, we comprehensively described the immune cell infiltrates in tumor nodules and the ascitic fluid within an optimized preclinical model of advanced ovarian cancer. METHODS Green Fluorescent Protein (GFP)-ID8 OC cells were injected intraperitoneally into C57BL/6 mice and the development of advanced stage OC monitored. Nine weeks after tumor injection, mice were sacrificed and tumor nodules analyzed to identify specific immune infiltrates by immunohistochemistry. Ascites, developed in tumor bearing mice over a 10-week period, was characterized by mass cytometry (CyTOF) to qualitatively and quantitatively assess the distribution of the immune cell subsets, and their relationship to ascites from ovarian cancer patients. RESULTS Tumor nodules in the peritoneal cavity proved to be enriched in T cells, antigen presenting cells and macrophages, demonstrating an active immune environment and cell-mediated immunity. Assessment of the immune landscape in the ascites showed the predominance of CD8+ , CD4+ , B- , and memory T cells, among others, and the coexistance of different immune cell types within the same tumor microenvironment. CONCLUSIONS We performed, for the first time, a multiparametric analysis of the ascitic fluid and specifically identify immune cell populations in the peritoneal cavity of mice with advanced OC. Data obtained highlights the impact of CytOF as a diagnostic tool for this malignancy, with the opportunity to concomitantly identify novel targets, and define personalized therapeutic options.
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Affiliation(s)
- Simone Pisano
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
- Center for NanoHealthSwansea University Medical SchoolSwanseaUK
| | - Stefania Lenna
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
| | | | | | - Lucille Meeks
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
| | - Yajaira S. Jimenez
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
- Texas A&M Health Science CenterCollege of MedicineBryanTexas
| | - Oscar S Velazquez
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
| | | | - Robert Steven Conlan
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
- Center for NanoHealthSwansea University Medical SchoolSwanseaUK
| | - Bruna Corradetti
- Department of NanomedicineHouston Methodist Research InstituteHoustonTexas
- Center for NanoHealthSwansea University Medical SchoolSwanseaUK
- Texas A&M Health Science CenterCollege of MedicineBryanTexas
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14
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Wang J, Wang J, Gu Q, Yang Y, Ma Y, Zhang Q. TGFβ1: An Indicator for Tumor Immune Microenvironment of Colon Cancer From a Comprehensive Analysis of TCGA. Front Genet 2021; 12:612011. [PMID: 33995472 PMCID: PMC8115728 DOI: 10.3389/fgene.2021.612011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/26/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Tumor microenvironment (TME) and tumor-infiltrating immune cells (TICs) greatly participate in the genesis and development of colon cancer (CC). However, there is little research exploring the dynamic modulation of TME. METHODS We analyzed the proportion of immune/stromal component and TICs in the TME of 473 CC samples and 41 normal samples from The Cancer Genome Atlas (TCGA) database through ESTIMATE and CIBERSORT algorithms. Correlation analysis was conducted to evaluate the association between immune/stromal component in the TME and clinicopathological characteristics of CC patients. The difference analysis was performed to obtain the differentially expressed genes (DEGs). These DEGs were further analyzed by GO and KEGG enrichment analyses, PPI network, and COX regression analysis. Transforming growth factor β1 (TGFβ1) was finally overlapped from the above analysis. Paired analysis and GSEA were carried out to understand the role of TGFβ1 in colon cancer. The intersection between the difference analysis and correlation analysis was conducted to learn the association between TGFβ1 and TICs. RESULTS Our results showed that the immune component in the TME was negatively related with the stages of CC. GO and KEGG enrichment analysis revealed that 1,110 DEGs obtained from the difference analysis were mainly enriched in immune-related activities. The intersection analysis between PPI network and COX regression analysis indicated that TGFβ1 was significantly associated with the communication of genes in the PPI network and the survival of CC patients. In addition, TGFβ1 was up-regulated in the tumor samples and significantly related with poor prognosis of CC patients. Further GSEA suggested that genes in the TGFβ1 up-regulated group were enriched in immune-related activities and the function of TGFβ1 might depend on the communications with TICs, including T cells CD4 naïve and T cells regulatory. CONCLUSION The expression of TGFβ1 might be an indicator for the tumor immune microenvironment of CC and serve as a prognostic factor. Drugs targeting TGFβ1 might be a potential immunotherapy for CC patients in the future.
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Affiliation(s)
- Jinyan Wang
- Department of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
- Department of Oncology, The Affiliated Jiangning Hospital of Jiangsu Health Vocational College, Nanjing, China
| | - Jinqiu Wang
- Department of Oncology, Dafeng People’s Hospital, Yancheng, China
| | - Quan Gu
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Yang
- Department of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Yajun Ma
- Department of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Quan’an Zhang
- Department of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
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15
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Lu L, Wang J, Yang Q, Xie X, Huang Y. The role of CD38 in HIV infection. AIDS Res Ther 2021; 18:11. [PMID: 33820568 PMCID: PMC8021004 DOI: 10.1186/s12981-021-00330-6] [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: 10/18/2020] [Accepted: 03/06/2021] [Indexed: 11/24/2022] Open
Abstract
The widely-expressed molecule CD38 is a single-stranded type II transmembrane glycoprotein that is mainly involved in regulating the differentiation and activation state of the cell. CD38 has broad and complex functions, including enzymatic activity, intercellular signal transduction, cell activation, cytokine production, receptor function and adhesion activity, and it plays an important role in the physiological and pathological processes of many diseases. Many studies have shown that CD38 is related to the occurrence and development of HIV infection, and CD38 may regulate its progression through different mechanisms. Therefore, investigating the role of CD38 in HIV infection and the potential signaling pathways that are involved may provide a new perspective on potential treatments for HIV infection. In the present review, the current understanding of the roles CD38 plays in HIV infection are summarized. In addition, the specific role of CD38 in the process of HIV infection of human CD4+ T lymphocytes is also discussed.
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16
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Khella CA, Mehta GA, Mehta RN, Gatza ML. Recent Advances in Integrative Multi-Omics Research in Breast and Ovarian Cancer. J Pers Med 2021; 11:149. [PMID: 33669749 PMCID: PMC7922242 DOI: 10.3390/jpm11020149] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/13/2021] [Accepted: 02/14/2021] [Indexed: 02/07/2023] Open
Abstract
The underlying molecular heterogeneity of cancer is responsible for the dynamic clinical landscape of this disease. The combination of genomic and proteomic alterations, including both inherited and acquired mutations, promotes tumor diversity and accounts for variable disease progression, therapeutic response, and clinical outcome. Recent advances in high-throughput proteogenomic profiling of tumor samples have resulted in the identification of novel oncogenic drivers, tumor suppressors, and signaling networks; biomarkers for the prediction of drug sensitivity and disease progression; and have contributed to the development of novel and more effective treatment strategies. In this review, we will focus on the impact of historical and recent advances in single platform and integrative proteogenomic studies in breast and ovarian cancer, which constitute two of the most lethal forms of cancer for women, and discuss the molecular similarities of these diseases, the impact of these findings on our understanding of tumor biology as well as the clinical applicability of these discoveries.
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Affiliation(s)
- Christen A Khella
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Gaurav A Mehta
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Rushabh N Mehta
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Michael L Gatza
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
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