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Mou M, Gao R, Wu Y, Lin P, Yin H, Chen F, Huang F, Wen R, Yang H, He Y. Endoscopic Rectal Ultrasound-Based Radiomics Analysis for the Prediction of Synchronous Liver Metastasis in Patients With Primary Rectal Cancer. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:361-373. [PMID: 37950599 DOI: 10.1002/jum.16369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 09/26/2023] [Accepted: 10/22/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVES To develop and validate an ultrasound-based radiomics model to predict synchronous liver metastases (SLM) in rectal cancer (RC) patients preoperatively. METHODS Two hundred and thirty-nine RC patients were included in this study and randomly divided into training and validation cohorts. A total of 5936 radiomics features were calculated on the basis of ultrasound images to build a radiomic model and obtain a radiomics score (Rad-score) using logistic regression. Meanwhile, clinical characteristics were collected to construct a clinical model. The radiomics-clinical model was developed and validated by integrating the radiomics features with the selected clinical characteristics. The performances of three models were evaluated and compared through their discrimination, calibration, and clinical usefulness. RESULTS The radiomics model was developed based on 13 radiomic features. The radiomics-clinical model, which incorporated Rad-score, CEA, and CA199, exhibited favorable discrimination and calibration with areas under the receiver operating characteristic curve (AUC) of 0.920 (95% CI: 0.874-0.965) in the training cohorts and 0.855 (95% CI: 0.759-0.951) in the validation cohorts. And the AUC of the radiomics-clinical model was 0.849 (95% CI: 0.771-0.927) for the training cohorts and 0.780 (95% CI: 0.655-0.905) for the validation cohorts, the clinical model was 0.811 (95% CI: 0.718-0.905) for the training cohorts and 0.805 (95% CI: 0.645-0.965) for the validation cohorts. Moreover, decision curve analysis (DCA) further confirmed the clinical utility of the radiomics-clinical model. CONCLUSIONS The radiomics-clinical model performed satisfactory predictive performance, which can help improve clinical diagnosis performance and outcome prediction for SLM in RC patients.
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Affiliation(s)
- Meiyan Mou
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Medical Ultrasound, Yulin No. 1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin, China
| | - Ruizhi Gao
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuquan Wu
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Peng Lin
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Hongxia Yin
- Department of Medical Ultrasound, Yulin No. 1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin, China
| | - Fenghuan Chen
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Fen Huang
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Rong Wen
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Hong Yang
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yun He
- Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Wang R, Gao Y, Wen S, Guo X. BNIPL is a promising biomarker of laryngeal cancer: novel insights from bioinformatics analysis and experimental validation. BMC Med Genomics 2024; 17:45. [PMID: 38302910 PMCID: PMC10832104 DOI: 10.1186/s12920-024-01811-z] [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: 04/11/2023] [Accepted: 01/18/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Laryngeal cancer (LC) is a malignant tumor with high incidence and mortality. We aim to explore key genes as novel biomarkers to find potential target of LC in clinic diagnosis and treatment. METHODS We retrieved GSE143224 and GSE84957 datasets from the Gene Expression Omnibus database to screen the differentially expressed genes (DEGs). Hub genes were identified from protein-protein interaction networks and further determined using receiver operating characteristic curves and principal component analysis. The expression of hub gene was verified by quantitative real time polymerase chain reaction. The transfection efficiency of BCL2 interacting protein like (BNIPL) was measured by western blot. Proliferation, migration, and invasion abilities were detected by Cell Counting Kit-8, wound-healing, and transwell assays, respectively. RESULTS Total 96 overlapping DEGs were screened out from GSE143224 and GSE84957 datasets. Six hub genes (BNIPL, KRT4, IGFBP3, MMP10, MMP3, and TGFBI) were identified from PPI network. BNIPL was selected as the target gene. The receiver operating characteristic curves of BNIPL suggested that the false positive rate was 18.5% and the true positive rate was 81.5%, showing high predictive values for LC. The expression level of BNIPL was downregulated in TU212 and TU686 cells. Additionally, overexpression of BNIPL suppressed the proliferation, migration, and invasion of TU212 and TU686 cells. CONCLUSION BNIPL is a novel gene signature involved in LC progression, which exerts an inhibitory effect on LC development. These findings provide a novel insight into the pathogenesis of LC.
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Affiliation(s)
- Rui Wang
- Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China
| | - Ying Gao
- Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China
| | - Shuxin Wen
- Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China.
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China.
| | - Xiudong Guo
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China
- Department of Head Neck and Breast Oncology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030032, China
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Wang Y, Jin Q, Zhang S, Wang Y. Overexpression of TMEM79 combined with SMG5 is related to prognosis, tumor immune infiltration and drug sensitivity in hepatocellular carcinoma. Eur J Med Res 2023; 28:490. [PMID: 37936239 PMCID: PMC10631028 DOI: 10.1186/s40001-023-01388-w] [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: 07/07/2023] [Accepted: 09/21/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is a primary liver malignancy that is now relatively common worldwide. TMEM79 has been reported to play diagnostic and prognostic markers in a variety of cancers and was found to be closely associated with immune infiltration. SMG5 is associated with immune cell infiltration in HCC. Multiple nonsense-mediated mRNA processes require the involvement of SMG5. TMEM79 and SMG5 complexes may be prognostic markers for prostate cancer. However, the relationship between TMEM79 expression in HCC and prognosis, its role and mechanism of action, and its relationship with SMG5 have not been studied. This article focuses on not only the prognostic role of TMEM79 and its biological significance, including immuno-infiltration, tumor mutations and drug sensitivity, but also the interaction with SMG5 in HCC. METHODS Differential expression analysis and the multiCox proportional hazards regression analyses of TMEM79 and SMG5 were performed by multiple databases. Then, use IHC to verify our results. Subsequently, we used R software to analyze the clinical phenotype of both: analysis of clinicopathological features, enrichment analysis, analysis of immune infiltration, analysis of immune checkpoints, analysis of drug sensitivity, and immunotherapy. RESULTS Both the database studies and the results of our research group showed that TMEM79 and SMG5 were differentially expressed in HCC and normal tissues. Validation of immunohistochemistry showed that differential expression of TMEM79 and SMG5, which influenced the prognosis of patients with HCC, could be an independent prognostic factor. Results of the TCGA database study showed that TMEM79 and SMG5 were correlated with immune infiltration, immune checkpoints, drug sensitivity, and immunotherapy. We typed TMEM79-related molecules in HCC according to R software. Two types of TMEM79 correlated with clinical features, survival of patients with HCC, and immune infiltration. CONCLUSION TMEM79 are highly expressed in HCC and play an important role in the prognosis of patients with HCC. TMEM79 and SMG5 are positively correlated and may both associated with immune infiltration, and closely linked to immune checkpoints, drug sensitivity, and immunotherapy in HCC.
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Affiliation(s)
- Yu Wang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China
- Medical School of Nantong University, Nantong, China
| | - Qin Jin
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China
| | - Shu Zhang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China.
| | - Yan Wang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China.
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Mukherjee A, Bravo-Cordero JJ. Regulation of dormancy during tumor dissemination: the role of the ECM. Cancer Metastasis Rev 2023; 42:99-112. [PMID: 36802311 PMCID: PMC10027413 DOI: 10.1007/s10555-023-10094-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/07/2023] [Indexed: 02/23/2023]
Abstract
The study of the metastatic cascade has revealed the complexity of the process and the multiple cellular states that disseminated cancer cells must go through. The tumor microenvironment and in particular the extracellular matrix (ECM) plays an important role in regulating the transition from invasion, dormancy to ultimately proliferation during the metastatic cascade. The time delay from primary tumor detection to metastatic growth is regulated by a molecular program that maintains disseminated tumor cells in a non-proliferative, quiescence state known as tumor cell dormancy. Identifying dormant cells and their niches in vivo and how they transition to the proliferative state is an active area of investigation, and novel approaches have been developed to track dormant cells during dissemination. In this review, we highlight the latest research on the invasive nature of disseminated tumor cells and their link to dormancy programs. We also discuss the role of the ECM in sustaining dormant niches at distant sites.
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Affiliation(s)
- Ananya Mukherjee
- Division of Hematology and Medical Oncology, Department of Medicine, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jose Javier Bravo-Cordero
- Division of Hematology and Medical Oncology, Department of Medicine, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Identification of Gene Signature-Related Oxidative Stress for Predicting Prognosis of Colorectal Cancer. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2023; 2023:5385742. [PMID: 36819776 PMCID: PMC9936508 DOI: 10.1155/2023/5385742] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/25/2022] [Accepted: 11/24/2022] [Indexed: 02/10/2023]
Abstract
Background Colorectal cancer (CRC) is the third most common cancer. Nearly a decade of studies had shown that cancer regimens tailored to molecular and pathological features lead to improved overall survival. Oxidative stress (OS) refers to a state in which oxidation and antioxidant effects are unbalanced in the body. However, the molecular mechanism of OS-related CRC remains unclear. Methods Univariate Cox regression analysis gained OS signature genes related to CRC prognosis, and then, different CRC molecular subtypes were obtained by consensus clustering analysis. Differential expression analysis and least absolute shrinkage and selection operator (LASSO) algorithm were used to obtain prognostic-related signature genes. Significantly, risk score was calculated by RiskScore = Σβi × Expi. Moreover, the Kaplan-Meier survival analysis, immune cell infiltration, and sensitivity to treatment regimens were performed to assess the model's validity and adaptability. Finally, RiskScore incorporated clinicopathological features to further improve prognostic models and survival prediction. Results 63 OS-related prognostic genes were obtained, and four distinct molecular subtypes of CRC were identified based on the expression characteristics. 230 differentially expressed genes (DEGs) between different molecular subtypes were compressed by LASSO algorithm, and finally, 6 OS-related genes were obtained. The Kaplan-Meier survival analysis indicated that the high RiskScore groups had poorer prognosis and the RiskScore model showed better predictive performance in all three other independent datasets. Moreover, immunotherapy/chemosensitivity analysis found that the low-risk group was more sensitive to different treatment options and could achieve better treatment outcomes. Conclusion Oxidative stress-related RiskScore model built in this work has good predictive performance for CRC.
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Han X, Cheng X, Dai K, Bao W, Ding R, Wan Y. Identification of immunocell infiltrates and effective diagnostic biomarkers in laryngeal carcinoma. Medicine (Baltimore) 2023; 102:e32548. [PMID: 36701711 PMCID: PMC9857365 DOI: 10.1097/md.0000000000032548] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Laryngeal cancer (LC) is a malignant tumor that occurs in the head and neck. Laryngeal cancer is one of the most common cancers of the neck and head, and its prognosis has always been poor. The incidence of LC increased gradually and showed an early rising trend. Laryngeal cancer is rarely studied in relation to immunity, Malignant tumors will change the state of the human body in various ways to adapt to their own survival and avoid the immune system. This study aims to explore the immune molecular mechanism of laryngeal cancer through bioinformatics analysis. The gene expression data was downloaded for 3 microarray datasets: GSE27020, GSE59102, and GSE51985. CIBERSORT algorithm was performed to evaluate immune cell infiltration in tissues between LC and healthy control (HC). Differentially expressed genes (DEGs) were screened. Functional correlation of DEGs were analyzed by Gene Ontology, Gene Set Enrichment Analysis and Kyoto encyclopedia of genes and genomes. Candidate biomarkers were identified by cytoHubba of Cytoscape. Spearman correlations between the above biomarkers and infiltrating immune cells were explored using R software analysis. The immune cell types of LC and HC were significantly different. Twenty-one DEGs were obtained by cross-screening. The function of DEGs is closely related to the number of immune cells. Five central genes (TNNT3, TNNI2, Desmin, matrix metallopeptidase 9 and cytotoxic T lymphocyte antigen 4) were screened. The HUB gene was demonstrated to have the ability to diagnose LC and HC with good specificity and sensitivity. The correlation between immune cells and biomarkers showed that hub gene was positively correlated with macrophages and dendritic cells, and negatively correlated with CD4 + T cell. TNNT3, TNNI2, Desmin, matrix metallopeptidase 9 and cytotoxic T lymphocyte antigen 4 can be used as diagnostic biomarker for LC. Macrophages, dendritic cells and CD4 + T cell may participate in the occurrence and development of LC.
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Affiliation(s)
- Xue Han
- Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Xiaowen Cheng
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Kaiqi Dai
- Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Wenyu Bao
- Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China
| | - Ran Ding
- School of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, China
| | - Yufeng Wan
- Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China
- * Correspondence: Yufeng Wan, Department of Otolaryngology, Head and Neck Surgery, Chaohu Hospital Affiliated to Anhui Medical University, Hefei 238000, China (e-mail: )
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Mayo LN, Kutys ML. Conversation before crossing: dissecting metastatic tumor-vascular interactions in microphysiological systems. Am J Physiol Cell Physiol 2022; 323:C1333-C1344. [PMID: 36121131 PMCID: PMC9602802 DOI: 10.1152/ajpcell.00173.2022] [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: 04/26/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 01/12/2023]
Abstract
Tumor metastasis via the circulation requires crossing the vascular barrier twice: first, during intravasation when tumor cells disseminate from the primary site through proximal vasculature, and second, during extravasation, when tumor cells exit the circulation to form distant metastatic seeds. During these key metastatic events, chemomechanical signaling between tumor cells and endothelial cells elicits reciprocal changes in cell morphology and behavior that are necessary to breach the vessel wall. Existing experimental systems have provided a limited understanding of the diverse mechanisms underlying tumor-endothelial interactions during intravasation and extravasation. Recent advances in microphysiological systems have revolutionized the ability to generate miniaturized human tissues with tailored three-dimensional architectures, physiological cell interfaces, and precise chemical and physical microenvironments. By doing so, microphysiological systems enable experimental access to complex morphogenic processes associated with human tumor progression with unprecedented resolution and biological control. Here, we discuss recent examples in which microphysiological systems have been leveraged to reveal new mechanistic insight into cellular and molecular control systems operating at the tumor-endothelial interface during intravasation and extravasation.
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Affiliation(s)
- Lakyn N Mayo
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, California
- UCSF-UC Berkeley Joint Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California
- Medical Scientist Training Program, University of California San Francisco, San Francisco, California
| | - Matthew L Kutys
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, California
- UCSF-UC Berkeley Joint Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
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Chen H, Zeng B, Li X, Zhao Q, Liu D, Chen Y, Zhang Y, Wang J, Xing HR. High-Metastatic Melanoma Cells Promote the Metastatic Capability of Low-Metastatic Melanoma Cells via Exosomal Transfer of miR-411-5p. Front Oncol 2022; 12:895164. [PMID: 35669425 PMCID: PMC9166236 DOI: 10.3389/fonc.2022.895164] [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: 03/13/2022] [Accepted: 04/19/2022] [Indexed: 12/24/2022] Open
Abstract
Melanoma is characterized by high rate of metastasis and mortality. Effective management of metastatic melanoma depends on renewed mechanistic understanding underlying melanoma progression and metastasis. The role of exosomes in mediating the interactions between cancer cells and the metastatic microenvironment is at the forefront of cancer research. Previous researches on the function of exosomes in metastasis have been primarily focused on tumor cell-derived exosomes in modifying the biological functions of stromal cells. Whether the cancer cells at the involved organ can modify the metastatic capability of each other has not been demonstrated. In this study, a paired M14 melanoma derivative cell line, i.e., M14-OL and POL, that we established and characterized were employed. Oligo-metastatic (M14-OL) and poly-metastatic (M14-POL) cell line were generated from three consecutive rounds of in vivo selection and passage. They exhibit high (POL cells) and low (OL cells) metastatic colonization efficiency in vivo, respectively. We show that exosomal crosstalk between metastatic cancer cells is a new mechanism of cancer metastasis. High-metastatic melanoma cells (POL) can augment the metastatic colonization capability of the low-metastatic melanoma cells (OL). POL achieves this goal by utilizing its exosomes to deliver functional miRNAs, in this case, miR-411-5p, to the OL cell. Upon entering OL cells, exosomal miR-411-5p enhance metastatic colonization efficiency by activation of the ERK signaling pathway. Moreover, miR-411-5p expression is higher in cancer tissues of other cancer types (colon, lung, rectum) compared with that of respective normal tissues. The clinical relevance of the present finding merits future investigations.
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Affiliation(s)
- Hao Chen
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Bin Zeng
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Xiaoshuang Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Qiting Zhao
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Doudou Liu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Yuting Chen
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Yuhan Zhang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Jianyu Wang
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - H. Rosie Xing
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
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Wang L, Yang G, Liu G, Pan Y. Identification of lncRNA Signature of Tumor-Infiltrating T Lymphocytes With Potential Implications for Prognosis and Chemotherapy of Head and Neck Squamous Cell Carcinoma. Front Pharmacol 2022; 12:795205. [PMID: 35242027 PMCID: PMC8886158 DOI: 10.3389/fphar.2021.795205] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/30/2021] [Indexed: 02/02/2023] Open
Abstract
Purpose: We systematically analyzed HNSCC-infiltrating T lymphocytes lncRNAs (HILTlncRNAs) to assess their predictive value for the survival outcome and immunotherapy response of patients with anti-programmed death-1 (PD-1) therapy and to evaluate their predictive power to chemotherapeutic agents. Methods: HNSCC transcriptome and clinical information was obtained from The Cancer Genome Atlas (TCGA) database. Immunocell microarray data were obtained from the Gene Expression Omnibus (GEO) database. T-cell-specific lncRNAs were identified by differential expression analysis. Prognostic paired HILTlncRNAs (PHILTlncRNAs) were filtered and modeled by univariate cox, lasso and multivariate cox regression analysis. To construct lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) regulatory networks, differentially expressed mRNAs in HNSCC patients were incorporated, microRNAs and differentially expressed mRNAs interacting with T-cell-specific lncRNAs were filtered out based on miRcode, miRDB, miRTarBase, and TargetScan databases. Results: 75 T-cell-specific lncRNAs and 9 prognostic PHILTlncRNAs were identified. Low-risk HNSCC patients had a better prognosis and significant immune cell infiltration, driving the immune response. Differential expression of RNA-binding proteins (RBPs), PD-1 and programmed cell death 1 ligand 1 (PD-L1) was demonstrated in the high and low risk groups of HNSCC patients. In the high risk group, high expression of PD-1 improved patient prognosis, whereas the opposite was observed in the low-risk group. The promoter methylation levels of two RBPs (DNMT1 and ZC3H12D) were decreased in HNSCC patients compared with normal samples, their expression levels were positively correlated with PD-1 and PD-L1 levels and T-cell infiltration. Finally, we screened the sensitivity of HNSCC patients to chemotherapeutic agents and found it differed between high and low risk groups. Conclusion: HILTlncRNAs provided a theoretical basis for immune targeted therapy and drug development.
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Affiliation(s)
- Liping Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Gui Yang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Guohong Liu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Yunbao Pan
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
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Zhang H, Shen YW, Zhang LJ, Chen JJ, Bian HT, Gu WJ, Zhang H, Chen HZ, Zhang WD, Luan X. Targeting Endothelial Cell-Specific Molecule 1 Protein in Cancer: A Promising Therapeutic Approach. Front Oncol 2021; 11:687120. [PMID: 34109132 PMCID: PMC8181400 DOI: 10.3389/fonc.2021.687120] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/10/2021] [Indexed: 12/21/2022] Open
Abstract
Despite the dramatic advances in cancer research in the past few years, effective therapeutic strategies are urgently needed. Endothelial cell-specific molecule 1 (ESM-1), a soluble dermatan sulfate proteoglycan, also known as endocan, serves as a diagnostic and prognostic indicator due to its aberrant expression under pathological conditions, including cancer, sepsis, kidney diseases, and cardiovascular disease. Significantly, ESM-1 can promote cancer progression and metastasis through the regulation of tumor cell proliferation, migration, invasion, and drug resistant. In addition, ESM-1 is involved in the tumor microenvironment, containing inflammation, angiogenesis, and lymph angiogenesis. This article reviews the molecular and biological characteristics of ESM-1 in cancer, the underlying mechanisms, the currently clinical and pre-clinical applications, and potential therapeutic strategies. Herein, we propose that ESM-1 is a new therapeutic target for cancer therapy.
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Affiliation(s)
- He Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Fudan University, Shanghai, China
| | - Yi-Wen Shen
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li-Jun Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jin-Jiao Chen
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Fudan University, Shanghai, China
| | - Hui-Ting Bian
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Fudan University, Shanghai, China
| | - Wen-Jie Gu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hong Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hong-Zhuan Chen
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei-Dong Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Xin Luan
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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11
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Tumor microenvironment characterization in stage IV gastric cancer. Biosci Rep 2021; 41:227294. [PMID: 33416081 PMCID: PMC7796192 DOI: 10.1042/bsr20201248] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 12/01/2020] [Accepted: 12/07/2020] [Indexed: 12/12/2022] Open
Abstract
Immunotherapy is remarkably affected by the immune environment of the principal tumor. Nonetheless, the immune environment's clinical relevance in stage IV gastric cancer (GC) is largely unknown. The gene expression profiles of 403 stage IV GC patients in the three cohorts: GEO (Gene Expression Omnibus, GSE84437 (n=292) and GSE62254 (n=77), and TCGA (The Cancer Genome Atlas, n=34) were used in the present study. Using four publicly available stage IV GC expression datasets, 29 immune signatures were expression profiled, and on this basis, we classified stage IV GC. The classification was conducted using the hierarchical clustering method. Three stage IV GC subtypes L, M, and H were identified representing low, medium, and high immunity, respectively. Immune correlation analysis of these three types revealed that Immune H exhibited a better prognostic outcome as well as a higher immune score compared with other subtypes. There was a noticeable difference in the three subgroups of HLA genes. Further, on comparing with other subtypes, CD86, CD80, CD274, CTLA4, PDCD1, and PDCD1LG2 had higher expression in the Immunity H subtype. In stage IV GC, potentially positive associations between immune and pathway activities were displayed, due to the enrichment of pathways including TNF signaling, Th-17 cell differentiation, and JAK-STAT signaling pathways in Immunity H vs Immunity L subtypes. External cohorts from TCGA cohort ratified these results. The identification of stage IV GC subtypes has potential clinical implications in stage IV GC treatment.
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Wen C, Wang H, Wang H, Mo H, Zhong W, Tang J, Lu Y, Zhou W, Tan A, Liu Y, Xie W. A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults. Aging (Albany NY) 2020; 13:619-645. [PMID: 33281116 PMCID: PMC7835013 DOI: 10.18632/aging.202170] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 10/09/2020] [Indexed: 02/07/2023]
Abstract
Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were divided into two groups according to the immune/stromal scores that were analyzed by the Estimate algorithm. The differentially expressed genes (DEGs) between the two groups were analyzed and 122 DEGs were revealed. Finally, three genes (COCH, MYOM2 and PDE1B) with the minimum AIC value were derived from 122 DEGs by multivariate cox analysis. The three-gene risk model (3-GRM) could distinguish patients with high risk from the training (TARGET) and validation (GSE21257) cohort. Furthermore, a nomogram model included 3-GRM score and clinical features were developed, with the AUC values in predicting 1, 3 and 5-year survival were 0.971, 0.853 and 0.818, respectively. In addition, in the high 3-GRM score group, the enrichment degrees of infiltrating immune cells were significantly lower and immune-related pathways were markedly suppressed. In summary, this model may be used as a marker to predict survival for OSs patients in adolescent and young adults.
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Affiliation(s)
- Chunkai Wen
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China.,Graduate School of Guangxi Medical University, Nanning 530021, China
| | - Hongxue Wang
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Han Wang
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Hao Mo
- Department of Bone and Soft Tissue Tumor Surgery, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Wuning Zhong
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Jing Tang
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Yongkui Lu
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Wenxian Zhou
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Aihua Tan
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Yan Liu
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
| | - Weimin Xie
- Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China
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Mondal C, Di Martino JS, Bravo-Cordero JJ. Actin dynamics during tumor cell dissemination. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2020; 360:65-98. [PMID: 33962751 PMCID: PMC8246644 DOI: 10.1016/bs.ircmb.2020.09.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The actin cytoskeleton is a dynamic network that regulates cellular behavior from development to disease. By rearranging the actin cytoskeleton, cells are capable of migrating and invading during developmental processes; however, many of these cellular properties are hijacked by cancer cells to escape primary tumors and disseminate to distant organs in the body. In this review article, we highlight recent work describing how cancer cells regulate the actin cytoskeleton to achieve efficient invasion and metastatic colonization. We also review new imaging technologies that are capable of revealing the complex architecture and regulation of the actin cytoskeleton during motility and invasion of tumor cells.
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Affiliation(s)
- Chandrani Mondal
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Julie S Di Martino
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jose Javier Bravo-Cordero
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
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