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Ha X, Li Y, Gao Z, Cui J, Nie Y, Sun L, Gao W. IL1RL2 is related to the expression and prognosis of bladder cancer. Mol Clin Oncol 2024; 21:75. [PMID: 39170626 PMCID: PMC11337083 DOI: 10.3892/mco.2024.2773] [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: 06/27/2024] [Accepted: 07/29/2024] [Indexed: 08/23/2024] Open
Abstract
IL1RL2 has been reported to be highly expressed in a variety of tumor types whereas its role in bladder cancer (BLCA) remains unclear. The aim of the present study was to explore the prognostic value of Il1RL2 in BLCA and its relationship with clinical pathological features. The Cancer Genome Atlas (TCGA) database was used to assess the levels of IL1RL2 expression in BLCA tissues and cells, which were validated by reverse transcription-quantitative polymerase chain reaction and western blotting. Immunohistochemistry was employed to analyze expression of the IL1RL2 gene in 17 pairs of tumor and normal specimens, as well as 112 samples with different stages and grades of tumors. To investigate the biological functions of Il1RL2 in BLCA, co-expression networks and functional enrichment analyses were conducted. A protein-protein interaction network was constructed using interaction gene search tools. IL1RL2 was revealed to be clearly expressed in BLCA cells and tissues. The area under the curve for amplification of IL1RL2 distinguishing between tumor and normal tissues was 0.700 (95% CI: 0.579-0.821) in the TCGA database and 0.647 (95% CI: 0.497-0.797) in Miyun chart database, respectively. Furthermore, in our database, both univariate and multivariate analyses indicated that IL1RL2 expression was an independent risk factor for overall survival (OS). Kaplan-Meier survival analysis revealed an association between high IL1RL2 expression and low OS. Pathway enrichment analysis suggested that IL1RL2 is involved in the regulation of tumor progression through the MAPK signaling pathway. The expression level of IL1RL2 was associated with the stage, grade, lymph node album and prognosis of BLCA.
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Affiliation(s)
- Xuemei Ha
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
| | - Yue Li
- Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Zihui Gao
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
| | - Jiazhao Cui
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
| | - Yuzhu Nie
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
| | - Lihua Sun
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
| | - Wenzhi Gao
- Department of Pathology, Peking University First Hospital-Miyun Hospital, Beijing 100034, P.R. China
- Miyun Teaching Hospital, Capital Medical University, Beijing 100034, P.R. China
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Zhou L, He J, Hu Z, Li H, Li J. Identification of a circadian-based prognostic signature predicting cancer-associated fibroblasts infiltration and immunotherapy response in bladder cancer. Aging (Albany NY) 2024; 16:12312-12334. [PMID: 39216004 PMCID: PMC11424586 DOI: 10.18632/aging.206088] [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: 02/20/2024] [Accepted: 07/18/2024] [Indexed: 09/04/2024]
Abstract
Circadian rhythm disruption impacts the efficiency of both chemotherapy and immunotherapy, yet identifying the key factors involved remains challenging. Circadian rhythm disruption can trigger aberrant fibroblasts activation, suggesting potential roles of cancer-associated fibroblasts (CAFs) in addressing this issue. In this paper, TCGA-BLCA patients were classified into two subgroups based on the expression of core circadian rhythm genes (CCRGs). The CCRG-based subgroups showed distinct fibroblast-related signals, from which a risk model composed of five fibroblast-related genes was finally established with excellent survival prognostic value in both TCGA and GEO datasets. The risk model was positively associated with the infiltration of CAFs and can efficiently predict the immunotherapy response in BLCA. Besides, high-risk score was associated with reduced sensitivity to a majority of traditional chemotherapeutic drugs such as oxaliplatin and gemcitabine. Further, the correlation between CCRGs and the risk genes was analyzed. Among the five risk genes, FAM20C displayed the most extensive correlation with the CCRGs and exhibited the strongest connection with CAFs infiltration. Moreover, FAM20C independently served as a predictor for the response to immunotherapy in BLCA. In conclusion, this study has identified a circadian-based signature for evaluating CAFs infiltration and predicting the efficacy of chemotherapy and immunotherapy. The central gene FAM20C has emerged as a promising candidate which merits further investigations.
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Affiliation(s)
- Li Zhou
- Institute of Interdisciplinary Research, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China
- Research Institute of Guangdong Polytechnic Normal University in Heyuan City, Guangdong, China
| | - Jiaming He
- Institute of Biotherapy, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhiming Hu
- Institute of Biotherapy, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
| | - Hongwei Li
- Institute of Biotherapy, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinlong Li
- Institute of Biotherapy, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China
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Li J, Kong Z, Qi Y, Wang W, Su Q, Huang W, Zhang Z, Li S, Du E. Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8 + T-cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study. Int J Surg 2024; 110:4911-4931. [PMID: 38759695 PMCID: PMC11325897 DOI: 10.1097/js9.0000000000001516] [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: 02/06/2024] [Accepted: 04/14/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) are found in primary and advanced tumours. They are primarily involved in tumour progression through complex mechanisms with other types of cells in the tumour microenvironment. However, essential fibroblasts-related genes (FRG) in bladder cancer still need to be explored, and there is a shortage of an ideal predictive model or molecular subtype for the progression and immune therapeutic assessment for bladder cancer, especially muscular-invasive bladder cancer based on the FRG. MATERIALS AND METHODS CAF-related genes of bladder cancer were identified by analysing single-cell RNA sequence datasets, and bulk transcriptome datasets and gene signatures were used to characterize them. Then, 10 types of machine learning algorithms were utilised to determine the hallmark FRG and construct the FRG index (FRGI) and subtypes. Further molecular subtypes combined with CD8+ T-cells were established to predict the prognosis and immune therapy response. RESULTS Fifty-four BLCA-related FRG were screened by large-scale scRNA-sequence datasets. The machine learning algorithm established a 3-genes FRGI. High FRGI represented a worse outcome. Then, FRGI combined clinical variables to construct a nomogram, which shows high predictive performance for the prognosis of bladder cancer. Furthermore, the BLCA datasets were separated into two subtypes - fibroblast hot and cold types. In five independent BLCA cohorts, the fibroblast hot type showed worse outcomes than the cold type. Multiple cancer-related hallmark pathways are distinctively enriched in these two types. In addition, high FRGI or fibroblast hot type shows a worse immune therapeutic response. Then, four subtypes called CD8-FRG subtypes were established under the combination of FRG signature and activity of CD8+ T-cells, which turned out to be effective in predicting the prognosis and immune therapeutic response of bladder cancer in multiple independent datasets. Pathway enrichment analysis, multiple gene signatures, and epigenetic alteration characterize the CD8-FRG subtypes and provide a potential combination strategy method against bladder cancer. CONCLUSIONS In summary, the authors established a novel FRGI and CD8-FRG subtype by large-scale datasets and organised analyses, which could accurately predict clinical outcomes and immune therapeutic response of BLCA after surgery.
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Affiliation(s)
- Jingxian Li
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Zheng Kong
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Yuanjiong Qi
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Wei Wang
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Qiang Su
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Wei Huang
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Zhihong Zhang
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
| | - Shuai Li
- Department of Colorectal Surgery, The Second Hospital of Tianjin Medical University, Tianjin, People's Republic of China
| | - E Du
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University
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Kazakova AN, Lukina MM, Anufrieva KS, Bekbaeva IV, Ivanova OM, Shnaider PV, Slonov A, Arapidi GP, Shender VO. Exploring the diversity of cancer-associated fibroblasts: insights into mechanisms of drug resistance. Front Cell Dev Biol 2024; 12:1403122. [PMID: 38818409 PMCID: PMC11137237 DOI: 10.3389/fcell.2024.1403122] [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: 03/18/2024] [Accepted: 04/22/2024] [Indexed: 06/01/2024] Open
Abstract
Introduction: Among the various stromal cell types within the tumor microenvironment, cancer-associated fibroblasts (CAFs) emerge as the predominant constituent, exhibiting a diverse array of oncogenic functions not intrinsic to normal fibroblasts. Their involvement spans across all stages of tumorigenesis, encompassing initiation, progression, and metastasis. Current understanding posits the coexistence of distinct subpopulations of CAFs within the tumor microenvironment across a spectrum of solid tumors, showcasing both pro- and antitumor activities. Recent advancements in single-cell transcriptomics have revolutionized our ability to meticulously dissect the heterogeneity inherent to CAF populations. Furthermore, accumulating evidence underscores the pivotal role of CAFs in conferring therapeutic resistance to tumors against various drug modalities. Consequently, efforts are underway to develop pharmacological agents specifically targeting CAFs. Methods: This review embarks on a comprehensive analysis, consolidating data from 36 independent single-cell RNA sequencing investigations spanning 17 distinct human malignant tumor types. Results: Our exploration centers on elucidating CAF population markers, discerning their prognostic relevance, delineating their functional contributions, and elucidating the underlying mechanisms orchestrating chemoresistance. Discussion: Finally, we deliberate on the therapeutic potential of harnessing CAFs as promising targets for intervention strategies in clinical oncology.
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Affiliation(s)
- Anastasia N. Kazakova
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Maria M. Lukina
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ksenia S. Anufrieva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Irina V. Bekbaeva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
| | - Olga M. Ivanova
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia
| | - Polina V. Shnaider
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Andrey Slonov
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Georgij P. Arapidi
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
| | - Victoria O. Shender
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
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Numakura S, Kato M, Uozaki H. Discovery of YS-1 as a cell line of gastric inflammatory cancer-associated fibroblasts. Mol Biol Rep 2024; 51:542. [PMID: 38642200 DOI: 10.1007/s11033-024-09442-4] [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: 12/07/2023] [Accepted: 03/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Inflammatory cancer-associated fibroblasts (iCAFs) was first identified by co-culture of pancreatic stellate cells and tumor organoids. The key feature of iCAFs is IL-6high/αSMAlow. We examine this phenomenon in gastric cancer using two cell lines of gastric fibroblasts (HGF and YS-1). METHODS AND RESULTS HGF or YS-1 were co-cultured with MKN7 (a gastric adenocarcinoma cell line) in Matrigel. IL-6 protein levels in the culture supernatant were measured by ELISA. The increased production of IL-6 was not observed in any of the combinations. Instead, the supernatant of YS-1 exhibited the higher levels of IL-6. YS-1 showed IL-6high/αSMA (ACTA2)low in real-time PCR, mRNA-seq and immunohistochemistry. In mRNA-seq, iCAFs-associated genes and signaling pathways were up-regulated in YS-1. No transition to myofibroblastic phenotype was observed by monolayer culture, or the exposure to sonic hedgehog (SHH) or TGF-β. YS-1 conditioned medium induced changes of morphology and stem-ness/differentiation in NUGC-3 (a human gastric adenocarcinoma cell line) and UBE6T-15 (a human bone marrow-derived mesenchymal stem cell line). CONCLUSIONS YS-1 is a stable cell line of gastric iCAFs. This discovery will promote further research on iCAFs for many researchers.
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Affiliation(s)
- Satoe Numakura
- Department of Pathology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
| | - Masahiro Kato
- Department of Pathology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Hiroshi Uozaki
- Department of Pathology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
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YADOLLAHVANDMIANDOAB REZA, JALALIZADEH MEHRSA, DIONATO FRANCIELEAPARECIDAVECHIA, BUOSI KEINI, LEME PATRÍCIAAF, COL LUCIANASBDAL, GIACOMELLI CRISTIANEF, ASSIS ALEXDIAS, BASHIRICHELKASARI NASIM, REIS LEONARDOOLIVEIRA. Clinical implications of single cell sequencing for bladder cancer. Oncol Res 2024; 32:597-605. [PMID: 38560564 PMCID: PMC10972735 DOI: 10.32604/or.2024.045442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 01/08/2024] [Indexed: 04/04/2024] Open
Abstract
Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed that this technology can identify cell subtypes in the tumor microenvironment that may predict prognosis or response to immune checkpoint inhibition therapy. Two studies were able to diagnose BC by identifying neoplastic cells through single-cell sequencing urine samples. The remaining studies were mainly a preclinical exploration of tumor microenvironment at single cell level. Single-cell sequencing technology can discriminate heterogeneity in bladder tumor cells and determine the key molecular properties that can lead to the discovery of novel perspectives on cancer management. This nascent tool can advance the early diagnosis, prognosis judgment, and targeted therapy of bladder cancer.
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Affiliation(s)
- REZA YADOLLAHVANDMIANDOAB
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - MEHRSA JALALIZADEH
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | | | - KEINI BUOSI
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - PATRÍCIA A. F. LEME
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - LUCIANA S. B. DAL COL
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - CRISTIANE F. GIACOMELLI
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - ALEX DIAS ASSIS
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - NASIM BASHIRICHELKASARI
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
| | - LEONARDO OLIVEIRA REIS
- UroScience, School of Medical Sciences, University of Campinas, UNICAMP, Campinas, Sao Paulo, 13083-872, Brazil
- ImmunOncology, Pontifical Catholic University of Campinas, PUC-Campinas, Campinas, Sao Paulo, 13087-571, Brazil
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Xiaoqin Z, Zhouqi L, Huan P, Xinyi F, Bin S, Jiming W, Shihui L, Bangwei Z, Jing J, Yi H, Jinlai G. Development of a prognostic signature for immune-associated genes in bladder cancer and exploring potential drug findings. Int Urol Nephrol 2024; 56:483-497. [PMID: 37740848 DOI: 10.1007/s11255-023-03796-7] [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: 07/19/2023] [Accepted: 08/20/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND Bladder cancer, predominantly affecting men, is a prevalent malignancy of the urinary system. Although platinum-based chemotherapy has demonstrated certain enhancements in overall survival when compared to surgery alone, the efficacy of treatments is impeded by the unfavorable side effects of conventional chemotherapy medications. Nonetheless, immunotherapy exhibits potential in the treatment of bladder cancer. METHODS To create an immune-associated prognostic signature for bladder cancer, bioinformatics analyses were performed utilizing The Cancer Genome Atlas (TCGA) database in this study. By identifying differential gene expressions between the high-risk and low-risk groups, a potential therapeutic drug was predicted using the Connectivity Map database. Subsequently, the impact of this drug on the growth of T24 cells was validated through MTT assay and 3D cell culture techniques. RESULTS The signature included 1 immune-associated LncRNA (NR2F1-AS1) and 16 immune-associated mRNAs (DEFB133, RBP7, PDGFRA, CGB3, PDGFD, SCG2, ADCYAP1R1, OPRL1, PGR, PSMD1, TANK, PRDX1, ADIPOR2, S100A8, AHNAK, EGFR). Based on the assessment of risk scores, the patients were classified into cohorts of low-risk and high-risk individuals. The cohort with low risk demonstrated a considerably higher likelihood of survival in comparison to the group with high risk. Furthermore, variations in immune infiltration were noted among the two categories. Cephaeline, a possible medication, was discovered by analyzing variations in gene expression. It exhibited promise in suppressing the viability and growth of T24 bladder cancer cells. CONCLUSION The novel predictive pattern allows for efficient categorization of patients with bladder cancer, enabling focused and rigorous treatment for those expected to have a worse prognosis. The discovery of a possible curative medication establishes a basis for forthcoming immunotherapy trials in bladder cancer.
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Affiliation(s)
- Zhang Xiaoqin
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Lu Zhouqi
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Pan Huan
- Departments of Central Laboratory, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China
| | - Feng Xinyi
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Shen Bin
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Wu Jiming
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Liu Shihui
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Zhou Bangwei
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China
| | - Jin Jing
- Department of Urology, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
| | - He Yi
- Department of Urology, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
| | - Gao Jinlai
- Department of Pharmacology, College of Medical, Jiaxing University, Jiaxing, 314000, China.
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Gu Y, Chen Q, Yin H, Zeng M, Gao S, Wang X. Cancer-associated fibroblasts in neoadjuvant setting for solid cancers. Crit Rev Oncol Hematol 2024; 193:104226. [PMID: 38056580 DOI: 10.1016/j.critrevonc.2023.104226] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/15/2023] [Accepted: 11/30/2023] [Indexed: 12/08/2023] Open
Abstract
Therapeutic approaches for cancer have become increasingly diverse in recent times. A comprehensive understanding of the tumor microenvironment (TME) holds great potential for enhancing the precision of tumor therapies. Neoadjuvant therapy offers the possibility of alleviating patient symptoms and improving overall quality of life. Additionally, it may facilitate the reduction of inoperable tumors and prevent potential preoperative micrometastases. Within the TME, cancer-associated fibroblasts (CAFs) play a prominent role as they generate various elements that contribute to tumor progression. Particularly, extracellular matrix (ECM) produced by CAFs prevents immune cell infiltration into the TME, hampers drug penetration, and diminishes therapeutic efficacy. Therefore, this review provides a summary of the heterogeneity and interactions of CAFs within the TME, with a specific focus on the influence of neoadjuvant therapy on the microenvironment, particularly CAFs. Finally, we propose several potential and promising therapeutic strategies targeting CAFs, which may efficiently eliminate CAFs to decrease stroma density and impair their functions.
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Affiliation(s)
- Yanan Gu
- Department of Radiology, Zhongshan Hospital and Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China; Department of Interventional Radiology, Zhongshan Hospital Fudan University Shanghai, 200032, China
| | - Qiangda Chen
- Department of Pancreatic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hanlin Yin
- Department of Pancreatic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital and Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China
| | - Shanshan Gao
- Department of Radiology, Zhongshan Hospital and Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China.
| | - Xiaolin Wang
- Department of Radiology, Zhongshan Hospital and Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China; Department of Interventional Radiology, Zhongshan Hospital Fudan University Shanghai, 200032, China.
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Chen H, Ma L, Yang W, Li Y, Ji Z. POLR3G promotes EMT via PI3K/AKT signaling pathway in bladder cancer. FASEB J 2023; 37:e23260. [PMID: 37933949 DOI: 10.1096/fj.202301095r] [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: 06/01/2023] [Revised: 09/07/2023] [Accepted: 09/28/2023] [Indexed: 11/08/2023]
Abstract
RNA Polymerase III Subunit G (POLR3G) promotes tumorigenesis, metastasis, cancer stemness, and chemoresistance of breast cancer and lung cancer; however, its biological function in bladder cancer (BLCA) remains unclear. Through bioinformatic analyses, we found that POLR3G expression was significantly elevated in BLCA tumor tissues and was associated with decreased survival. Multivariate Cox analysis indicated that POLR3G could serve as an independent prognostic risk factor. Our functional investigations revealed that POLR3G deficiency resulted in reduced migration and invasion of BLCA cells both in vitro and in vivo. Additionally, the expressions of EMT-related mesenchymal markers were also downregulated in POLR3G knockdown cells. Mechanistically, we showed that POLR3G could activate the PI3K/AKT signaling pathway. Inhibition of this pathway with LY294002 reduced the enhanced migration and invasion of BLCA cells induced by POLR3G overexpression, whereas the activation of this pathway using 740Y-P restored the abilities that were inhibited by POLR3G knockdown. Taken together, our findings suggested that POLR3G is a prognostic predictor for BLCA and promotes EMT of BLCA through activation of the PI3K/AKT signaling pathway.
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Affiliation(s)
- Hualin Chen
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Ma
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenjie Yang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yingjie Li
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhigang Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Chen H, Yang W, Ma L, Li Y, Ji Z. Machine-learning based integrating bulk and single-cell RNA sequencing reveals the SLC38A5-CCL5 signaling as a promising target for clear cell renal cell carcinoma treatment. Transl Oncol 2023; 38:101790. [PMID: 37722291 PMCID: PMC10518726 DOI: 10.1016/j.tranon.2023.101790] [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: 04/18/2023] [Revised: 09/02/2023] [Accepted: 09/12/2023] [Indexed: 09/20/2023] Open
Abstract
Cancer-associated fibroblasts paly critical roles in regulating cancer cell biological properties by intricate and dynamic communication networks. But the mechanism of CAFs in clear cell renal cell carcinoma (ccRCC) is not clear. In our study, we identified CAFs and malignant cells from the integrated scRNA-seq datasets and establish a CAF-derived communication signature based on the highly activated regulons ETS1 and MEF2C. We stratified the ccRCC TME into two molecular subtypes with distinct prognoses, immune cell infiltration landscapes, and immune-related characteristics. The model derived from signature demonstrated high accuracy and robustness in predicting prognosis and ICIs therapy responses. Subsequently, the SLC38A5 of the model was found upregulated in CAFs and was related to decreased survival probabilities, inflamed TME, and upregulated inhibitory checkpoints. SLC38A5 inhibition could attenuate the pro-tumoral abilities of CAFs in terms of proliferation, migration, and invasion. Mechanically, CCL5 could restore these properties induced by SLC38A5 inhibition. In conclusion, our communication signature and its derived model enabled a more precise selection of ccRCC patients who were potential beneficiaries of ICIs. Besides, the SLC38A5-CCL5 axis may serve as a promising target for ccRCC treatment.
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Affiliation(s)
- Hualin Chen
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Wenjie Yang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Lin Ma
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Yingjie Li
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Zhigang Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China.
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11
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Patwardhan MV, Mahendran R. The Bladder Tumor Microenvironment Components That Modulate the Tumor and Impact Therapy. Int J Mol Sci 2023; 24:12311. [PMID: 37569686 PMCID: PMC10419109 DOI: 10.3390/ijms241512311] [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: 06/30/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
The tumor microenvironment (TME) is complex and involves many different cell types that seemingly work together in helping cancer cells evade immune monitoring and survive therapy. The advent of single-cell sequencing has greatly increased our knowledge of the cell types present in the tumor microenvironment and their role in the developing cancer. This, coupled with clinical data showing that cancer development and the response to therapy may be influenced by drugs that indirectly influence the tumor environment, highlights the need to better understand how the cells present in the TME work together. This review looks at the different cell types (cancer cells, cancer stem cells, endothelial cells, pericytes, adipose cells, cancer-associated fibroblasts, and neuronal cells) in the bladder tumor microenvironment. Their impact on immune activation and on shaping the microenvironment are discussed as well as the effects of hypertensive drugs and anesthetics on bladder cancer.
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Affiliation(s)
| | - Ratha Mahendran
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
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12
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Chen H, Yang W, Li Y, Ji Z. PLAGL2 promotes bladder cancer progression via RACGAP1/RhoA GTPase/YAP1 signaling. Cell Death Dis 2023; 14:433. [PMID: 37454211 PMCID: PMC10349853 DOI: 10.1038/s41419-023-05970-2] [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: 03/16/2023] [Revised: 06/21/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
PLAGL2 is upregulated in various tumors, including bladder cancer (BCa). However, the mechanisms underlying the tumorigenic effects of PLAGL2 in BCa remain unclear. In our study, we proved that PLAGL2 was overexpressed in BCa tissues and correlated with decreased survival. Functionally, PLAGL2 deficiency significantly suppressed the proliferation and metastasis of BCa cells in vitro and in vivo. RNA sequencing, qRT‒PCR, immunoblotting, immunofluorescence staining, luciferase reporter, and ChIP assays revealed that overexpressed PLAGL2 disrupted the Hippo pathway and increased YAP1/TAZ activity by transactivating RACGAP1. Further investigations demonstrated that PLAGL2 activated YAP1/TAZ signaling via RACGAP1-mediated RhoA activation. Importantly, the RhoA inhibitor simvastatin or the YAP1/TAZ inhibitor verteporfin abrogated the proproliferative and prometastatic effects of BCa enhanced by PLAGL2. These findings suggest that PLAGL2 promotes BCa progression via RACGAP1/RhoA GTPase/YAP1 signaling. Hence, the core nodes of signaling may be promising therapeutic targets for BCa.
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Affiliation(s)
- Hualin Chen
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Wenjie Yang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Yingjie Li
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Zhigang Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
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13
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Chen H, Yang W, Li Y, Ma L, Ji Z. Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients. Front Immunol 2023; 14:1198878. [PMID: 37325625 PMCID: PMC10266281 DOI: 10.3389/fimmu.2023.1198878] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 05/18/2023] [Indexed: 06/17/2023] Open
Abstract
Background Disulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood. Methods Disulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was established and verified in various datasets. A series of experiments including qRT-PCR, immunoblotting, IHC, CCK-8, EdU, wound-healing, transwell, dual-luciferase reporter, and ChIP assays were used to study the biological functions. Results We identified two DRG clusters, which exhibited distinct clinicopathological features, prognosis, and tumor immune microenvironment (TIME) landscapes. A DRG prognostic model with ten features (DCBLD2, JAM3, CSPG4, SCEL, GOLGA8A, CNTN1, APLP1, PTPRR, POU5F1, CTSE) was established and verified in several external datasets in terms of prognosis and immunotherapy response prediction. BCa patients with high DRG scores may be characterized by declined survival, inflamed TIME, and elevated tumor mutation burden. Besides, the correlation between DRG score and immune checkpoint genes and chemoradiotherapy-related genes indicated the implication of the model in personalized therapy. Furthermore, random survival forest analysis was performed to select the top important features within the model: POU5F1 and CTSE. qRT-PCR, immunoblotting, and immunohistochemistry assays showed the enhanced expression of CTSE in BCa tumor tissues. A series of phenotypic assays revealed the oncogenetic roles of CTSE in BCa cells. Mechanically, POU5F1 can transactivate CTSE, promoting BCa cell proliferation and metastasis. Conclusions Our study highlighted the disulfidptosis in the regulation of tumor progression, sensitivity to therapy, and survival of BCa patients. POU5F1 and CTSE may be potential therapeutic targets for the clinical treatment of BCa.
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Affiliation(s)
| | | | | | | | - Zhigang Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Crosstalk between Mesenchymal Stem Cells and Cancer Stem Cells Reveals a Novel Stemness-Related Signature to Predict Prognosis and Immunotherapy Responses for Bladder Cancer Patients. Int J Mol Sci 2023; 24:ijms24054760. [PMID: 36902193 PMCID: PMC10003512 DOI: 10.3390/ijms24054760] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Mesenchymal stem cells (MSCs) and cancer stem cells (CSCs) maintain bladder cancer (BCa) stemness and facilitate the progression, metastasis, drug resistance, and prognosis. Therefore, we aimed to decipher the communication networks, develop a stemness-related signature (Stem. Sig.), and identify a potential therapeutic target. BCa single-cell RNA-seq datasets (GSE130001 and GSE146137) were used to identify MSCs and CSCs. Pseudotime analysis was performed by Monocle. Stem. Sig. was developed by analyzing the communication network and gene regulatory network (GRN) that were decoded by NicheNet and SCENIC, respectively. The molecular features of the Stem. Sig. were evaluated in TCGA-BLCA and two PD-(L)1 treated datasets (IMvigor210 and Rose2021UC). A prognostic model was constructed based on a 101 machine-learning framework. Functional assays were performed to evaluate the stem traits of the hub gene. Three subpopulations of MSCs and CSCs were first identified. Based on the communication network, the activated regulons were found by GRN and regarded as the Stem. Sig. Following unsupervised clustering, two molecular subclusters were identified and demonstrated distinct cancer stemness, prognosis, immunological TME, and response to immunotherapy. Two PD-(L)1 treated cohorts further validated the performance of Stem. Sig. in prognosis and immunotherapeutic response prediction. A prognostic model was then developed, and a high-risk score indicated a poor prognosis. Finally, the hub gene SLC2A3 was found exclusively upregulated in extracellular matrix-related CSCs, predicting prognosis, and shaping an immunosuppressive tumor microenvironment. Functional assays uncovered the stem traits of SLC2A3 in BCa by tumorsphere formation and western blotting. The Stem. Sig. derived from MSCs and CSCs can predict prognosis and response to immunotherapy for BCa. Besides, SLC2A3 may serve as a promising stemness target facilitating cancer effective management.
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