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Al Hmada Y, Brodell RT, Kharouf N, Flanagan TW, Alamodi AA, Hassan SY, Shalaby H, Hassan SL, Haikel Y, Megahed M, Santourlidis S, Hassan M. Mechanisms of Melanoma Progression and Treatment Resistance: Role of Cancer Stem-like Cells. Cancers (Basel) 2024; 16:470. [PMID: 38275910 PMCID: PMC10814963 DOI: 10.3390/cancers16020470] [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: 12/05/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024] Open
Abstract
Melanoma is the third most common type of skin cancer, characterized by its heterogeneity and propensity to metastasize to distant organs. Melanoma is a heterogeneous tumor, composed of genetically divergent subpopulations, including a small fraction of melanoma-initiating cancer stem-like cells (CSCs) and many non-cancer stem cells (non-CSCs). CSCs are characterized by their unique surface proteins associated with aberrant signaling pathways with a causal or consequential relationship with tumor progression, drug resistance, and recurrence. Melanomas also harbor significant alterations in functional genes (BRAF, CDKN2A, NRAS, TP53, and NF1). Of these, the most common are the BRAF and NRAS oncogenes, with 50% of melanomas demonstrating the BRAF mutation (BRAFV600E). While the successful targeting of BRAFV600E does improve overall survival, the long-term efficacy of available therapeutic options is limited due to adverse side effects and reduced clinical efficacy. Additionally, drug resistance develops rapidly via mechanisms involving fast feedback re-activation of MAPK signaling pathways. This article updates information relevant to the mechanisms of melanoma progression and resistance and particularly the mechanistic role of CSCs in melanoma progression, drug resistance, and recurrence.
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Affiliation(s)
- Youssef Al Hmada
- Department of Pathology, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA; (Y.A.H.); (R.T.B.)
| | - Robert T. Brodell
- Department of Pathology, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA; (Y.A.H.); (R.T.B.)
| | - Naji Kharouf
- Institut National de la Santé et de la Recherche Médicale, University of Strasbourg, 67000 Strasbourg, France; (N.K.); (Y.H.)
- Department of Operative Dentistry and Endodontics, Dental Faculty, University of Strasbourg, 67000 Strasbourg, France
| | - Thomas W. Flanagan
- Department of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center, New Orleans, LA 70112, USA;
| | - Abdulhadi A. Alamodi
- College of Health Sciences, Jackson State University, 310 W Woodrow Wilson Ave Ste 300, Jackson, MS 39213, USA;
| | - Sofie-Yasmin Hassan
- Department of Pharmacy, Faculty of Science, Heinrich-Heine University Duesseldorf, 40225 Dusseldorf, Germany;
| | - Hosam Shalaby
- Department of Urology, Tulane University School of Medicine, New Orleans, LA 70112, USA;
| | - Sarah-Lilly Hassan
- Department of Chemistry, Faculty of Science, Heinrich-Heine University Duesseldorf, 40225 Dusseldorf, Germany;
| | - Youssef Haikel
- Institut National de la Santé et de la Recherche Médicale, University of Strasbourg, 67000 Strasbourg, France; (N.K.); (Y.H.)
- Department of Operative Dentistry and Endodontics, Dental Faculty, University of Strasbourg, 67000 Strasbourg, France
- Pôle de Médecine et Chirurgie Bucco-Dentaire, Hôpital Civil, Hôpitaux Universitaire de Strasbourg, 67000 Strasbourg, France
| | - Mosaad Megahed
- Clinic of Dermatology, University Hospital of Aachen, 52074 Aachen, Germany;
| | - Simeon Santourlidis
- Epigenetics Core Laboratory, Medical Faculty, Institute of Transplantation Diagnostics and Cell Therapeutics, Heinrich Heine University Düsseldorf, 40225 Dusseldorf, Germany;
| | - Mohamed Hassan
- Institut National de la Santé et de la Recherche Médicale, University of Strasbourg, 67000 Strasbourg, France; (N.K.); (Y.H.)
- Department of Operative Dentistry and Endodontics, Dental Faculty, University of Strasbourg, 67000 Strasbourg, France
- Research Laboratory of Surgery-Oncology, Department of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA
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Liu Y, Li X, Chen S, Zhu C, Shi Y, Dang S, Zhang W, Li W. Pan-cancer analysis of SERPINE family genes as biomarkers of cancer prognosis and response to therapy. Front Mol Biosci 2024; 10:1277508. [PMID: 38274096 PMCID: PMC10808646 DOI: 10.3389/fmolb.2023.1277508] [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: 08/14/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Background: Serine protease inhibitor E (SERPINE) family genes participate in the tumor growth, cancer cell survival and metastasis. However, the SERPINE family members role in the prognosis and their clinical therapeutic potentials in various human cancer types have not been elaborately explored. Methods: We preliminarily analyzed expression levels and prognostic values of SERPINE family genes, and investigated the correlation between SERPINEs expression and tumor microenvironment (TME), Stemness score, clinical characteristic, immune infiltration, tumor mutational burden (TMB), immune subtype, and drug sensitivity in pan-cancer, which based on updated public databases and integrated some bioinformatics analysis methods. In addition, we conducted the enrichment analysis of SERPINEs from DAVID and KOBAS databases. Results: SERPINE1, SERPINE2, and SERPINE3 expression were upregulated in nine cancers, twelve cancers, and six cancers, respectively. The expression of SERPINE family genes was associated with the prognosis in several cancers from The Cancer Genome Atlas (TCGA). Furthermore, SERPINE family genes expression also had a significant relation to stromal and immune scores, and RNA stemness score and DNA stemness score in pan-cancer. SERPINE1 and SERPINE2 expression significantly increased in tumor advanced stage in colon adenocarcinoma (COAD). Results showed that SERPINE1 and SERPINE2 expression were negatively related with B cells and Monocytes, respectively. SERPINE2 expression had a significantly positive relation with B cells and Macrophages. In terms of TMB, SERPINE1, SERPINE2, and SERPINE3 were found to associated with TMB in seven cancers, fourteen cancers, and four cancers, respectively. Moreover, all SERPINE gene family members were significantly correlated with immune subtypes. SERPINE1 expression had a significantly positive or negative correlation with drug sensitivity. Conclusion: The study indicated the great potential of SERPINE family genes as biomarkers for prognosis and provided valuable strategies for further investigation of SERPINE family genes as potential targets in cancer.
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Affiliation(s)
| | | | | | | | | | | | | | - Wei Li
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Wen XY, Wang RY, Yu B, Yang Y, Yang J, Zhang HC. Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancer. Sci Rep 2023; 13:15597. [PMID: 37730847 PMCID: PMC10511553 DOI: 10.1038/s41598-023-42858-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 09/15/2023] [Indexed: 09/22/2023] Open
Abstract
Prostate cancer (PCa) stands as a prominent contributor to morbidity and mortality among males on a global scale. Cancer-associated fibroblasts (CAFs) are considered to be closely connected to tumour growth, invasion, and metastasis. We explored the role and characteristics of CAFs in PCa through bioinformatics analysis and built a CAFs-based risk model to predict prognostic treatment and treatment response in PCa patients. First, we downloaded the scRNA-seq data for PCa from the GEO. We extracted bulk RNA-seq data for PCa from the TCGA and GEO and adopted "ComBat" to remove batch effects. Then, we created a Seurat object for the scRNA-seq data using the package "Seurat" in R and identified CAF clusters based on the CAF-related genes (CAFRGs). Based on CAFRGs, a prognostic model was constructed by univariate Cox, LASSO, and multivariate Cox analyses. And the model was validated internally and externally by Kaplan-Meier analysis, respectively. We further performed GO and KEGG analyses of DEGs between risk groups. Besides, we investigated differences in somatic mutations between different risk groups. We explored differences in the immune microenvironment landscape and ICG expression levels in the different groups. Finally, we predicted the response to immunotherapy and the sensitivity of antitumour drugs between the different groups. We screened 4 CAF clusters and identified 463 CAFRGs in PCa scRNA-seq. We constructed a model containing 10 prognostic CAFRGs by univariate Cox, LASSO, and multivariate Cox analysis. Somatic mutation analysis revealed that TTN and TP53 were significantly more mutated in the high-risk group. Finally, we screened 31 chemotherapeutic drugs and targeted therapeutic drugs for PCa. In conclusion, we identified four clusters based on CAFs and constructed a new CAFs-based prognostic signature that could predict PCa patient prognosis and response to immunotherapy and might suggest meaningful clinical options for the treatment of PCa.
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Affiliation(s)
- Xiao Yan Wen
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China
| | - Ru Yi Wang
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China
| | - Bei Yu
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China
| | - Yue Yang
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China
| | - Jin Yang
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China
| | - Han Chao Zhang
- Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, No.82, North Second Section of Second Ring Road, Chengdu, 610081, Sichuan, China.
- Medical College of Soochow University, Suzhou, 215000, Jiangsu, China.
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Wu C, Zhong R, Sun X, Shi J. PSME2 identifies immune-hot tumors in breast cancer and associates with well therapeutic response to immunotherapy. Front Genet 2022; 13:1071270. [PMID: 36583022 PMCID: PMC9793949 DOI: 10.3389/fgene.2022.1071270] [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: 10/16/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Breast cancer (BrCa) is a heterogeneous disease, which leads to unsatisfactory prognosis in females worldwide. Previous studies have proved that tumor immune microenvironment (TIME) plays crucial roles in oncogenesis, progression, and therapeutic resistance in Breast cancer. However, biomarkers related to TIME features have not been fully discovered. Proteasome activator complex subunit 2 (PSME2) is a member of proteasome activator subunit gene family, which is critical to protein degradation mediated by the proteasome. In the current research, we comprehensively analyzed the expression and immuno-correlations of Proteasome activator complex subunit 2 in Breast cancer. Proteasome activator complex subunit 2 was significantly upregulated in tumor tissues but associated with well prognosis. In addition, Proteasome activator complex subunit 2 was overexpressed in HER2-positive Breast cancer but not related to other clinicopathological features. Interestingly, Proteasome activator complex subunit 2 was positively related to immune-related processes and identified immuno-hot TIME in Breast cancer. Specifically, Proteasome activator complex subunit 2 was positively correlated with immunomodulators, tumor-infiltrating immune cells (TIICs), immune checkpoints, and tumor mutation burden (TMB) levels. Moreover, the positive correlation between Proteasome activator complex subunit 2 and PD-L1 expression was confirmed in a tissue microarray (TMA) cohort. Furthermore, in an immunotherapy cohort of Breast cancer, patients with pathological complete response (pCR) expressed higher Proteasome activator complex subunit 2 compared with those with non-pathological complete response. In conclusion, Proteasome activator complex subunit 2 is upregulated in tumor tissues and correlated with the immuno-hot tumor immune microenvironment, which can be a novel biomarker for the recognition of tumor immune microenvironment features and immunotherapeutic response in Breast cancer.
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Affiliation(s)
- Cen Wu
- Department of General Surgery, Rudong County People’s Hospital, Nantong, China
| | - Ren Zhong
- Department of General Surgery, Rudong County People’s Hospital, Nantong, China
| | - Xiaofei Sun
- Department of General Surgery, Rudong County People’s Hospital, Nantong, China
| | - Jiajie Shi
- Departments of Breast Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China,*Correspondence: Jiajie Shi,
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