1
|
Linazi G, Maimaiti A, Abulaiti Z, Shi H, Zhou Z, Aisa MY, Kang Y, Abulimiti A, Dilimulati X, Zhang T, Wusiman P, Wang Z, Abulaiti A. Prognostic value of anoikis-related genes revealed using multi-omics analysis and machine learning based on lower-grade glioma features and tumor immune microenvironment. Heliyon 2024; 10:e36989. [PMID: 39286119 PMCID: PMC11402926 DOI: 10.1016/j.heliyon.2024.e36989] [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: 10/24/2023] [Revised: 08/25/2024] [Accepted: 08/26/2024] [Indexed: 09/19/2024] Open
Abstract
Background The investigation explores the involvement of anoikis-related genes (ARGs) in lower-grade glioma (LGG), seeking to provide fresh insights into the disease's underlying mechanisms and to identify potential targets for therapy. Methods We applied unsupervised clustering techniques to categorize LGG patients into distinct molecular subtypes based on ARGs with prognostic significance. Additionally, various machine learning algorithms were employed to pinpoint genes most strongly correlated with patient outcomes, which were then used to develop and assess risk profiles. Results Our analysis identified two distinct molecular subtypes of LGG, each with significantly different prognoses. Patients in Cluster 2 had a median survival of 2.036 years, markedly shorter than the 7.994 years observed in Cluster 1 (P < 0.001). We also constructed a six-gene ARG signature that efficiently classified patients into two risk categories, showing median survival durations of 4.084 years for the high-risk group and 10.304 years for the low-risk group (P < 0.001). Significantly, the immune profiles, tumor mutation characteristics, and drug sensitivity varied greatly among these risk groups. The high-risk group was characterized by a "cold" tumor microenvironment (TME), a lower IDH1 mutation rate (61.7 % vs. 91.4 %), a higher TP53 mutation rate (53.7 % vs. 38.9 %), and greater sensitivity to targeted therapies such as QS11 and PF-562271. Furthermore, our nomogram, integrating risk scores with clinicopathological features, demonstrated strong predictive accuracy for clinical outcomes in LGG patients, with an AUC of 0.903 for the first year. The robustness of this prognostic model was further validated through internal cross-validation and across three external cohorts. Conclusions The evidence from our research suggests that ARGs could potentially serve as reliable indicators for evaluating immunotherapy effectiveness and forecasting clinical results in patients with LGG.
Collapse
Affiliation(s)
- Gu Linazi
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Aierpati Maimaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Zulihuma Abulaiti
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Hui Shi
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Zexin Zhou
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Mizhati Yimiti Aisa
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Yali Kang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Ayguzaili Abulimiti
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Xierzhati Dilimulati
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Tiecheng Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Patiman Wusiman
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Zengliang Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| | - Aimitaji Abulaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China
| |
Collapse
|
2
|
Wang Y, Cheng S, Fleishman JS, Chen J, Tang H, Chen ZS, Chen W, Ding M. Targeting anoikis resistance as a strategy for cancer therapy. Drug Resist Updat 2024; 75:101099. [PMID: 38850692 DOI: 10.1016/j.drup.2024.101099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/25/2024] [Accepted: 05/27/2024] [Indexed: 06/10/2024]
Abstract
Anoikis, known as matrix detachment-induced apoptosis or detachment-induced cell death, is crucial for tissue development and homeostasis. Cancer cells develop means to evade anoikis, e.g. anoikis resistance, thereby allowing for cells to survive under anchorage-independent conditions. Uncovering the mechanisms of anoikis resistance will provide details about cancer metastasis, and potential strategies against cancer cell dissemination and metastasis. Here, we summarize the principal elements and core molecular mechanisms of anoikis and anoikis resistance. We discuss the latest progress of how anoikis and anoikis resistance are regulated in cancers. Furthermore, we summarize emerging data on selective compounds and nanomedicines, explaining how inhibiting anoikis resistance can serve as a meaningful treatment modality against cancers. Finally, we discuss the key limitations of this therapeutic paradigm and possible strategies to overcome them. In this review, we suggest that pharmacological modulation of anoikis and anoikis resistance by bioactive compounds could surmount anoikis resistance, highlighting a promising therapeutic regimen that could be used to overcome anoikis resistance in cancers.
Collapse
Affiliation(s)
- Yumin Wang
- Department of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China
| | - Sihang Cheng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Joshua S Fleishman
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA
| | - Jichao Chen
- Department of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China
| | - Hailin Tang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhe-Sheng Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA.
| | - Wenkuan Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China.
| | - Mingchao Ding
- Department of Peripheral Vascular Intervention, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China.
| |
Collapse
|
3
|
Zhang D, Wang Y, Zhou H, Han X, Hou L, Lv Z, Xue X. The study of an anoikis-related signature to predict glioma prognosis and immune infiltration. J Cancer Res Clin Oncol 2023; 149:12659-12676. [PMID: 37450027 DOI: 10.1007/s00432-023-05138-7] [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: 04/09/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Gliomas are the most common highly aggressive primary malignant brain tumors in adults with different biological behaviors and clinically heterogeneous features. About the extremely poor prognosis of gliomas, the search for potential therapeutic modalities and targets is crucial. METHOD We extracted the anoikis-related genes (ARG) from GeneCards and obtained differentially expressed genes in normal and glioma tissues from the GSE4290 dataset to obtain intersect differentially expressed ARG in gliomas by differential analysis. KEGG and GO analyses were used to evaluate the potential pathways and molecular processes of these genes. Based on The Cancer Genome Atlas (TCGA) training cohort, we performed the Least Absolute Shrinkage and Selection Operator (LASSO) regression and Cox regression to construct an ARG prognostic model and validated them in the TCGA testing cohort and the Chinese Glioma Genome Atlas (CGGA) validation cohort. Subsequently, we further explored the differences in clinical characteristics, tumor mutation burden (TMB), and the immune microenvironment in the high- and low-risk groups. Univariate and multifactorial regression analyses and nomogram construction were also performed. Moreover, we evaluated the expression levels of key genes via public databases, qPCR analysis and IHC staining, and further assessed the clinical prognostic value. RESULTS The regulatory model based on quantitative ARG prognostic models showed that patients in the high-risk group were associated with poorer survival prognosis, poorer clinical characteristics, and higher TMB levels. Moreover, the high-risk group had high levels of immune infiltration and upregulated immune checkpoint gene expression. The ARG prognostic model and the Nomogram showed good predictive performance. Expression and survival analysis of five prognostic ARG signatures (ETV4, HMOX1, MYC, NFE2L2, and UBE2C) showed that these genes have potential prognostic value. CONCLUSION Our constructed ARG prognostic risk model provides a potential therapeutic target and theoretical basis for predicting the prognosis of glioma patients and guiding individualized immunotherapy.
Collapse
Affiliation(s)
- Dongdong Zhang
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
| | - Yu Wang
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
| | - Huandi Zhou
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
- Department of Central Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
| | - Xuetao Han
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
| | - Liubing Hou
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
- Department of Central Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China
| | - Zhongqiang Lv
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
| | - Xiaoying Xue
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
| |
Collapse
|
4
|
Duan Y, Xu X. A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer. Front Endocrinol (Lausanne) 2023; 14:1193622. [PMID: 37383389 PMCID: PMC10295154 DOI: 10.3389/fendo.2023.1193622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Background Ovarian cancer (OC) is a highly lethal and aggressive gynecologic cancer, with an overall survival rate that has shown little improvement over the decades. Robust models are urgently needed to distinguish high-risk cases and predict reliable treatment options for OC. Although anoikis-related genes (ARGs) have been reported to contribute to tumor growth and metastasis, their prognostic value in OC remains unknown. The purpose of this study was to construct an ARG pair (ARGP)-based prognostic signature for patients with OC and elucidate the potential mechanism underlying the involvement of ARGs in OC progression. Methods The RNA-sequencing and clinical information data of OC patients were obtained from The Center Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A novel algorithm based on pairwise comparison was utilized to select ARGPs, followed by the Least Absolute Shrinkage and Selection Operator Cox analysis to construct a prognostic signature. The predictive ability of the model was validated using an external dataset, a receiver operating characteristic curve, and stratification analysis. The immune microenvironment and the proportion of immune cells were analyzed in high- and low-risk OC cases using seven algorithms. Gene set enrichment analysis and weighted gene co-expression network analysis were performed to investigate the potential mechanisms of ARGs in OC occurrence and prognosis. Results The 19-ARGP signature was identified as an important prognostic predictor for 1-, 2-, and 3-year overall survival of patients with OC. Gene function enrichment analysis showed that the high-risk group was characterized by the infiltration of immunosuppressive cells and the enrichment of adherence-related signaling pathway, suggesting that ARGs were involved in OC progression by mediating immune escape and tumor metastasis. Conclusion We constructed a reliable ARGP prognostic signature of OC, and our findings suggested that ARGs exerted a vital interplay in OC immune microenvironment and therapeutic response. These insights provided valuable information regarding the molecular mechanisms underlying this disease and potential targeted therapies.
Collapse
Affiliation(s)
- Yiqi Duan
- Department of Pharmacy, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiao Xu
- Department of Obstetrics and Gynecology, Zhongshan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
5
|
Tian J, Cao ZJ, Zhang Y, Zhou JK, Yang L. Identification of anoikis-related subtypes and development of risk stratification system in skin cutaneous melanoma. Heliyon 2023; 9:e16153. [PMID: 37215879 PMCID: PMC10196614 DOI: 10.1016/j.heliyon.2023.e16153] [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: 10/19/2022] [Revised: 05/02/2023] [Accepted: 05/07/2023] [Indexed: 05/24/2023] Open
Abstract
Background Anoikis, a form of apoptosis induced by cell detachment, plays a key role in cancer metastasis. However, the potential roles of anoikis-related genes (ARGs) in assessing the prognosis of skin cutaneous melanoma (SKCM) and the tumor microenvironment (TME) remain unclear. Methods The data from TCGA corresponding to transcriptomic expression patterns for patients with SKCM were downloaded and utilized to screen distinct molecular subtypes by a non-negative matrix factorization algorithm. The prognostic signature was constructed by least absolute shrinkage and selection operator (LASSO) Cox regression and was validated in SKCM patients from the GEO cohort. Moreover, the relationship of the ARG_score with prognosis, tumor-infiltrating immune cells, gene mutation, microsatellite instability (MSI), and immunotherapy efficacy. Results We screened 100 anoikis-related differentially expressed genes between SKCM tissues and normal skin tissues, which could divide all patients into three different subtypes with significantly distinct prognosis and immune cell infiltration. Then, an anoikis-related signature was developed based on subtype-related DEGs, which could classify all SKCM patients into low and high ARG_score groups with differing overall survival (OS) rates. ARG_score was confirmed to be a strong independent prognostic indicator for SKCM patients. By combining ARG_score with clinicopathological features, a nomogram was constructed, which could accurately predict the individual OS of patients with SKCM. Moreover, low ARG_score patients presented with higher levels of immune cell infiltration, TME score, higher tumor mutation burden, and better immunotherapy responses. Conclusions Our comprehensive analysis of ARGs in SKCM provides important insights into the immunological microenvironment within the tumor of SKCM patients and helps to forecast prognosis and the response to immunotherapy in SKCM patients, thereby making it easier to tailor more effective treatment strategies to individual patients.
Collapse
Affiliation(s)
- Jun Tian
- Department of Dermatology, Shaanxi Provincial People’s Hospital, Xi’an, 710068, China
| | - Zi-jian Cao
- Department of Dermatology, The 63600 Hospital of PLA, Lanzhou, 732750, China
| | - Yuan Zhang
- Department of Oncology, Shaanxi Provincial People’s Hospital, Xi’an 710068, China
| | - Jin-ke Zhou
- Department of Dermatology, The 63600 Hospital of PLA, Lanzhou, 732750, China
| | - Li Yang
- Department of Dermatology, Shaanxi Provincial People’s Hospital, Xi’an, 710068, China
| |
Collapse
|
6
|
Nishimura A, Motohara T, Morinaga J, Iwagoi Y, Yamamoto M, Yamaguchi M, Miyahara Y, Tashiro H, Katabuchi H. Surgical efficacy and quality of wide resection of the pelvic peritoneum in patients with epithelial ovarian cancer. Surg Oncol 2023; 48:101946. [PMID: 37094499 DOI: 10.1016/j.suronc.2023.101946] [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: 12/23/2022] [Revised: 04/07/2023] [Accepted: 04/19/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE The aim of the study was to evaluate the impact of adding an extensive pelvic peritoneal stripping procedure, termed "wide resection of the pelvic peritoneum," (WRPP) to standard surgery for epithelial ovarian cancer on survival effectiveness and to investigate the role of ovarian cancer stem cells (CSCs) in the pelvic peritoneum. METHODS A total of 166 patients with ovarian cancer undergoing surgical treatment at Kumamoto University Hospital between 2002 and 2018 were retrospectively analyzed. Eligible patients were divided into three groups based on the surgical approach: standard surgery (SS) group (n = 36), WRPP group (standard surgery plus WRPP, n = 100), and rectosigmoidectomy (RS) group (standard surgery plus RS, n = 30). Survival outcomes were compared between the three groups. CD44 variant 6 (CD44v6) and EpCAM expression, as markers of ovarian CSCs, in peritoneal disseminated tumors were evaluated using immunofluorescence staining. RESULTS With respect to patients with stage IIIA-IVB ovarian cancer, there were significant differences in overall and progression-free survival between the WRPP and SS groups, as revealed by univariate (hazard ratio [HR], 0.35; 95% confidence interval [CI], 0.17-0.69; P = 0.003 and HR, 0.54; 95% CI, 0.31-0.95; P = 0.032, respectively) and multivariate Cox proportional hazards models (HR, 0.35; 95% CI, 0.17-0.70; P = 0.003 and HR, 0.54; 95% CI, 0.31-0.95; P = 0.032, respectively). Further, no significant differences were observed in survival outcomes between the RS group and the SS or WRPP group. Regarding the safety of WRPP, no significant differences in major intraoperative and postoperative complications were found between the three groups. Immunofluorescence analysis revealed a high percentage of CD44v6/EpCAM double-positive ovarian cancer cells in peritoneal disseminated tumors. CONCLUSION The present study demonstrates that WRPP significantly contributes to improved survival in patients with stage IIIA-IVB ovarian cancer. WRPP could result in eradicating ovarian CSCs and disrupting the CSC niche microenvironment in the pelvic peritoneum.
Collapse
Affiliation(s)
- Akiho Nishimura
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Takeshi Motohara
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan.
| | - Jun Morinaga
- Department of Clinical Investigation Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Yutaka Iwagoi
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Mayuko Yamamoto
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Munekage Yamaguchi
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Yo Miyahara
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| | - Hironori Tashiro
- Department of Woman's Health Sciences and Pediatric Nursing, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Chuo-ku, Kumamoto-city, Kumamoto, 862-0976, Japan
| | - Hidetaka Katabuchi
- Department of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto-city, Kumamoto, 860-8556, Japan
| |
Collapse
|
7
|
Qian S, Wen Y, Mei L, Zhu X, Zhang H, Xu C. Development and validation of a novel anoikis-related gene signature for predicting prognosis in ovarian cancer. Aging (Albany NY) 2023; 15:3410-3426. [PMID: 37179119 PMCID: PMC10449303 DOI: 10.18632/aging.204634] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/20/2023] [Indexed: 05/15/2023]
Abstract
Anoikis plays a critical role in variable cancer types. However, studies that focus on the prognostic values of anoikis-related genes (ANRGs) in OV are scarce. Cohorts with transcriptome data and corresponding clinicopathologic data of OV patients were collected and consolidated from public databases. Multiple bioinformatics approaches were used to screen key genes from 446 anoikis-related genes, including Cox regression analysis, random survival forest analysis, and Kaplan-Meier analysis of best combinations. A five-gene signature was constructed in the discovery cohort (TCGA) and validated in four validation cohorts (GEO). Risk score of the signature stratified patients into high-risk (HRisk) and low-risk (LRisk) subgroups. Patients in the HRisk group were associated with worse OS than those in the LRisk group in both the TCGA cohort (p<0.0001, HR=2.718, 95%CI:1.872-3.947) and the four GEO cohorts (p<0.05). Multivariate Cox regression analyses confirmed that the risk score served as an independent prognostic factor in both cohorts. The signature's predictive capacity was further demonstrated by the nomogram analysis. Pathway enrichment analysis revealed that immunosuppressive and malignant progression-related pathways were enriched in the HRisk group, including TGF-β, WNT and ECM pathways. The LRisk group was characterized by immune-active signaling pathways (interferon-gamma, T cell activation, etc.) and higher proportions of anti-tumor immune cells (NK, M1, etc.) while HRisk patients were associated with higher stromal scores and less TCR richness. In conclusion, the signature reveals a close relationship between the anoikis and prognosis and may provide a potential therapeutic target for OV patients.
Collapse
Affiliation(s)
- Shuangfeng Qian
- Department of Gynaecology and Obstetrics, Huzhou Maternity & Child Health Care Hospital, Huzhou 313000, China
| | - Yidan Wen
- Department of Sterilization and Supply, Tangdu Hospital, Air Force Military Medical University, Xi'an 710032, China
| | - Lina Mei
- Department of Gastroenterology, Huzhou Maternity & Child Health Care Hospital, Huzhou 313000, China
| | - Xiaofu Zhu
- Department of Reproductive Medicine, Huzhou Maternity & Child Health Care Hospital, Huzhou 313000, China
| | - Hongtao Zhang
- Department of Obstetrics and Gynecology, Sichuan Jinxin Women and Children’s Hospital, Chengdu 610000, China
| | - Chunyan Xu
- Department of Gynaecology and Obstetrics, Huzhou Maternity & Child Health Care Hospital, Huzhou 313000, China
| |
Collapse
|
8
|
Mei S, Chen X, Wang K, Chen Y. Tumor microenvironment in ovarian cancer peritoneal metastasis. Cancer Cell Int 2023; 23:11. [PMID: 36698173 PMCID: PMC9875479 DOI: 10.1186/s12935-023-02854-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/17/2023] [Indexed: 01/26/2023] Open
Abstract
Ovarian cancer (OC) is one of the most common gynecological malignancies with high morbidity and mortality. The peritoneum is one of the most common metastatic sites in ovarian cancer, involving large amounts of ascites. However, its mechanism is unclear. The peritoneal microenvironment composed of peritoneal effusion and peritoneum creates favorable conditions for ovarian cancer progression and metastasis. Here, we reviewed the peritoneal metastasis patterns and molecular mechanisms of ovarian cancer, as well as major components of the peritoneal microenvironment, peritoneal effusion, and immune microenvironment, and investigated the relationship between the peritoneal microenvironment and ovarian cancer metastasis.
Collapse
Affiliation(s)
- Shuangshuang Mei
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Xing Chen
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Kai Wang
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Yuxin Chen
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University (Enze Hospital, Taizhou Enze Medical Center Group), Tong Yang Road, Taizhou, 318053 Zhejiang China
| |
Collapse
|
9
|
Schoutrop E, Moyano-Galceran L, Lheureux S, Mattsson J, Lehti K, Dahlstrand H, Magalhaes I. Molecular, cellular and systemic aspects of epithelial ovarian cancer and its tumor microenvironment. Semin Cancer Biol 2022; 86:207-223. [PMID: 35395389 DOI: 10.1016/j.semcancer.2022.03.027] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/11/2022] [Accepted: 03/30/2022] [Indexed: 02/07/2023]
Abstract
Ovarian cancer encompasses a heterogeneous group of malignancies that involve the ovaries, fallopian tubes and the peritoneal cavity. Despite major advances made within the field of cancer, the majority of patients with ovarian cancer are still being diagnosed at an advanced stage of the disease due to lack of effective screening tools. The overall survival of these patients has, therefore, not substantially improved over the past decades. Most patients undergo debulking surgery and treatment with chemotherapy, but often micrometastases remain and acquire resistance to the therapy, eventually leading to disease recurrence. Here, we summarize the current knowledge in epithelial ovarian cancer development and metastatic progression. For the most common subtypes, we focus further on the properties and functions of the immunosuppressive tumor microenvironment, including the extracellular matrix. Current and future treatment modalities are discussed and finally we provide an overview of the different experimental models used to develop novel therapies.
Collapse
Affiliation(s)
- Esther Schoutrop
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Lidia Moyano-Galceran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Stephanie Lheureux
- University of Toronto, Toronto, Ontario, Canada; Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jonas Mattsson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; University of Toronto, Toronto, Ontario, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Gloria and Seymour Epstein Chair in Cell Therapy and Transplantation, Toronto, Ontario, Canada
| | - Kaisa Lehti
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical Laboratory Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Hanna Dahlstrand
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Medical unit Pelvic Cancer, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.
| | - Isabelle Magalhaes
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.
| |
Collapse
|
10
|
The Role of ANGPTL Gene Family Members in Hepatocellular Carcinoma. DISEASE MARKERS 2022; 2022:1844352. [PMID: 35692877 PMCID: PMC9177307 DOI: 10.1155/2022/1844352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 04/15/2022] [Indexed: 11/18/2022]
Abstract
Background Hepatocellular carcinoma (HCC) is highly aggressive with a poor prognosis and survival rate. Certain ANGPTL members have been implicated in tumor progression. However, the relevance of the ANGPTL gene family to HCC remains poorly understood. In this study, we explored the role of ANGPTLs in the prognosis of HCC. Methods From the CCLE database, we studied the expression of ANGPTLs in a range of cancer cell lines. The UCSC, HCCDB, and Human Protein Atlas databases were used to analyze the differences in mRNA and protein expression of ANGPTLs in HCC tissues. Additionally, the correlation between ANGPTL mRNA and methylation levels and clinicopathological features were assessed in the TCGA database. The correlation between ANGPTL mRNA and overall survival was determined by the Kaplan-Meier plotter. cBioPortal database was used to analyze ANGPTL genomic alterations. Genes associated with ANGPTLs were determined by enrichment with KEGG. Moreover, the differentially expressed genes of ANGPTLs were analyzed by the LinkedOmics database, and the KEGG pathway and miRNA targets of ANGPTLs were also enriched. Results There was a significant correlation between the ANGPTL members (excluding ANGPTL2) and the prognosis of HCC patients according to the Kaplan-Meier plotter analysis (p < 0.05). ANGPTL1 was the gene with the highest mutation frequency. ANGPTLs are involved in certain pathways that may influence the development of HCC. Conclusion In summary, the expression of some members of ANGPTLs was significantly correlated with HCC prognosis, suggesting that the ANGPTL gene family members may be promising molecular markers for HCC treatment and prognosis.
Collapse
|