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Dong L, Sun Q, Song F, Song X, Lu C, Li Y, Song X. Identification and verification of eight cancer-associated fibroblasts related genes as a prognostic signature for head and neck squamous cell carcinoma. Heliyon 2023; 9:e14003. [PMID: 36938461 PMCID: PMC10018481 DOI: 10.1016/j.heliyon.2023.e14003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 03/06/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) can exert their immunosuppressive effects by secreting various effectors that are involved in the regulation of tumor-infiltrating immune cells as well as other immune components in the tumor immune microenvironment (TIME), thereby promoting tumorigenesis, progression, metastasis, and drug resistance. Although a large number of studies suggest that CAFs play a key regulatory role in the development of head and neck squamous cell carcinoma (HNSCC), there are limited studies on the relevance of CAFs to the prognosis of HNSCC. In this study, we identified a prognostic signature containing eight CAF-related genes for HNSCC by univariate Cox analysis, lasso regression, stepwise regression, and multivariate Cox analysis. Our validation in primary cultures of CAFs from human HNSCC and four human HNSCC cell lines confirmed that these eight genes are indeed characteristic markers of CAFs. Immune cell infiltration differences analysis between high-risk and low-risk groups according to the eight CAF-related genes signature hinted at CAFs regulatory roles in the TIME, further revealing its potential role on prognosis. The signature of the eight CAF-related genes was validated in different independent validation cohorts and all showed that it was a valid marker for prognosis. The significantly higher overall survival (OS) in the low-risk group compared to the high-risk group was confirmed by Kaplan-Meier (K-M) analysis, suggesting that the signature of CAF-related genes can be used as a non-invasive predictive tool for HNSCC prognosis. The low-risk group had significantly higher levels of tumor-killing immune cell infiltration, as confirmed by CIBERSORT analysis, such as CD8+ T cells, follicular helper T cells, and Dendritic cells (DCs) in the low-risk group. In contrast, the level of infiltration of pro-tumor cells such as M0 macrophages and activated Mast cells (MCs) was lower. It is crucial to delve into the complex mechanisms between CAFs and immune cells to find potential regulatory targets and may provide new evidence for subsequently targeted immunotherapy. These results suggest that the signature of the eight CAF-related genes is a powerful indicator for the assessment of the TIME of HNSCC. It may provide a new and reliable potential indicator for clinicians to predict the prognosis of HNSCC, which may be used to guide treatment and clinical decision-making in HNSCC patients. Meanwhile, CAF-related genes are expected to become tumor biomarkers and effective targets for HNSCC.
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Key Words
- CAFs, Cancer-associated fibroblasts
- CSCs, cancer stem cells
- Cancer-associated fibroblasts
- DCs, Dendritic cells
- EMT, epithelial mesenchymal transition
- GEO, Gene Expression Omnibus
- GEPIA, Gene Expression Profiling Interactive Analysis
- GO, Gene Ontology
- GSEA, Gene Set Enrichment Analysis
- HNSCC, head and neck squamous cell carcinoma
- HR, Hazard Ratio
- Head and neck squamous cell carcinoma
- Immune cell infiltration
- K-M, Kaplan-Meier
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- MCs, Mast cells
- NFs, normal fibroblasts
- OS, overall survival
- OSCC, oral squamous cell carcinomas
- Prognostic signature
- ROC, receiver operating characteristic
- TAMs, tumor-associated macrophages
- TCGA, The Cancer Genome Atlas
- TIME, tumor immune microenvironment
- TME, tumor microenvironment
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Affiliation(s)
- Lei Dong
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
| | - Qi Sun
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
| | - Fei Song
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
| | - Xiaoyu Song
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
| | - Congxian Lu
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
| | - Yumei Li
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
- Corresponding author. Yumei Li: Department of Otorhinolaryngology Head and Neck Surgery. Yantai Yuhuangding Hospital, No.20, Yuhuangding East Road, Zhifu District, Yantai, Shandong, 264000, China.
| | - Xicheng Song
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Shandong University, China
- Shandong Provincial Clinical Research Center for Otorhinolaryngologic Diseases
- Corresponding author. Xicheng Song: Department of Otorhinolaryngology Head and Neck Surgery. Yantai Yuhuangding Hospital, No.20, Yuhuangding East Road, Zhifu District, Yantai, Shandong, 264000, China.
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Wan R, Bai L, Cai C, Ya W, Jiang J, Hu C, Chen Q, Zhao B, Li Y. Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma. Comput Struct Biotechnol J 2021; 19:6386-6399. [PMID: 34938414 PMCID: PMC8649667 DOI: 10.1016/j.csbj.2021.11.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/15/2021] [Accepted: 11/20/2021] [Indexed: 11/17/2022] Open
Abstract
Lung adenocarcinoma (LUAD) has a high mortality rate and is difficult to diagnose and treat in its early stage. Previous studies have demonstrated that small nucleolar RNAs (snoRNAs) play a critical role in tumor immune infiltration and the development of a variety of solid tumors. However, there have been no studies on the correlation between tumor-infiltrating immune-related snoRNAs (TIISRs) and LUAD. In this study, we filtered six immune-related snoRNAs based on the tissue specificity index (TSI) and expression profile of all snoRNAs between all LUAD cell lines from the Cancer Cell Line Encyclopedia and 21 types of immune cells from the Gene Expression Omnibus database. Further, we performed real-time quantitative polymerase chain reaction (RT-qPCR) to validate the expression status of these snoRNAs on peripheral blood mononuclear cells (PBMCs) and lung cancer cell lines. Next, we developed a TIISR signature based on the expression profiles of snoRNAs from 479 LUAD patients filtered by the random survival forest algorithm. We then analyzed the value of this TIISR signature (TIISR risk score) for assessing tumor immune infiltration, immune checkpoint inhibitor (ICI) treatment response, and the prognosis of LUAD between groups with high and low TIISR risk score. Further, we found that the TIISR risk score groups showed significant differences in biological characteristics and that the risk score could be used to assess the level of tumor immune cell infiltration, thereby predicting prognosis and responsiveness to immunotherapy in LUAD patients.
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Key Words
- AUC, area under the curve
- CCLE, Cancer Cell Line Encyclopedia
- FPKM, fragments per kilobase of transcript per million
- GEO, Gene Expression Omnibus
- GO, gene ontology
- GSVA, gene set variation analysis
- HIC, immunohistochemistry
- HR, hazard ratio
- ICIs, immune checkpoints inhibitors
- IF, immunofluorescence
- Immune checkpoints
- LUAD, lung adenocarcinoma
- Lung adenocarcinoma
- NK cell, natural killer cell
- PBMC, Peripheral Blood Mononuclear Cell
- ROC, receiver operating characteristic
- RSF, random survival forest
- RT-qPCR, Real-time Quantitative Polymerase Chain Reaction
- Small nucleolar RNAs
- TCGA, The Cancer Genome Atlas
- TIISR signature
- TIISR, tumor-infiltrating immune-related snoRNA
- TIME, tumor immune microenvironment
- TPM, transcripts per kilobase million
- TSI, tissue specificity index
- Tumor cell immune infiltration
- ncRNA, noncoding RNA
- snoRNAs, small nucleolar RNAs
- ssGSEA, single-sample gene set enrichment analysis
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Affiliation(s)
- Rongjun Wan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Lu Bai
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Changjing Cai
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Wang Ya
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Juan Jiang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Chengping Hu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Qiong Chen
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Bingrong Zhao
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
| | - Yuanyuan Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China, 410008
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 410008
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, Hunan, China. 410008
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China. 410008
- National Clinical Research Center for Geriatric Disorders,Xiangya Hospital, Changsha, Hunan, P.R. China, 410008
- Corresponding author.
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Han Z, Gong C, Li J, Guo H, Chen X, Jin Y, Gao S, Tai Z. Immunologically modified enzyme-responsive micelles regulate the tumor microenvironment for cancer immunotherapy. Mater Today Bio 2021; 13:100170. [PMID: 34938989 DOI: 10.1016/j.mtbio.2021.100170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 11/24/2021] [Accepted: 11/25/2021] [Indexed: 01/23/2023] Open
Abstract
Immune checkpoint blockade has been proven to have great therapeutic potential and has revolutionized the treatment of tumors. However, various limitations remain, including the low response rate of exhausted T cells and mutual regulation of multiple immunosuppressive cell types that compromise the effect of single-target therapy. Nano-delivery systems can be used to regulate the tumor immune microenvironment in favor of immunotherapy. In this study, we constructed a polypeptide-based micellar system that encapsulates an aryl hydrocarbon receptor (AhR) inhibitor (CH223191) conjugated to T cell activator anti-CD28. The inhibition of AhR activation downregulates the fraction of immunosuppressive cells and effectively inhibits tumor cell metastasis. In addition, the combination with co-stimulatory antibodies improves T-cell activation and synergistically enhances the antitumor effect of AhR inhibitors. The micellar system developed in this study represents a novel and effective tumor immunotherapy approach.
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Affiliation(s)
- Zhimin Han
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China.,Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Chunai Gong
- Department of Pharmacy, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, PR China
| | - Juanjuan Li
- Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Huanhuan Guo
- Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Xinlu Chen
- Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Yangli Jin
- Ningbo Yinzhou No.2 Hospital, Ningbo, 315192, China
| | - Shen Gao
- Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Zongguang Tai
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, China.,Department of Pharmacy, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
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Liu Q, Nie R, Li M, Li L, Zhou H, Lu H, Wang X. Identification of subtypes correlated with tumor immunity and immunotherapy in cutaneous melanoma. Comput Struct Biotechnol J 2021; 19:4472-4485. [PMID: 34471493 PMCID: PMC8379294 DOI: 10.1016/j.csbj.2021.08.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 08/04/2021] [Accepted: 08/04/2021] [Indexed: 01/15/2023] Open
Abstract
Because immune checkpoint inhibitors (ICIs) are effective for a subset of melanoma patients, identification of melanoma subtypes responsive to ICIs is crucial. We performed clustering analyses to identify immune subtypes of melanoma based on the enrichment levels of 28 immune cells using transcriptome datasets for six melanoma cohorts, including four cohorts not treated with ICIs and two cohorts treated with ICIs. We identified three immune subtypes (Im-H, Im-M, and Im-L), reproducible in these cohorts. Im-H displayed strong immune signatures, low stemness and proliferation potential, genomic stability, high immunotherapy response rate, and favorable prognosis. Im-L showed weak immune signatures, high stemness and proliferation potential, genomic instability, low immunotherapy response rate, and unfavorable prognosis. The pathways highly enriched in Im-H included immune, MAPK, apoptosis, calcium, VEGF, cell adhesion molecules, focal adhesion, gap junction, and PPAR. The pathways highly enriched in Im-L included Hippo, cell cycle, and ErbB. Copy number alterations correlated inversely with immune signatures in melanoma, while tumor mutation burden showed no significant correlation. The molecular features correlated with favorable immunotherapy response included immune-promoting signatures and pathways of PPAR, MAPK, VEGF, calcium, and glycolysis/gluconeogenesis. Our data recapture the immunological heterogeneity in melanoma and provide clinical implications for the immunotherapy of melanoma.
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Key Words
- Clustering analysis
- DMFS, distant-metastasis free survival
- DSS, disease-specific survival
- EMT, epithelial-mesenchymal transition
- FDR, false discovery rate
- GO, gene ontology
- GSEA, gene-set enrichment analysis
- HLA, human leukocyte antigen
- HRD, homologous recombination deficiency
- ICIs, immune checkpoint inhibitors
- Immune subtypes
- Immunotherapy
- MDSC, myeloid-derived suppressor cell
- Melanoma
- NK, natural killer
- OS, overall survival
- SCNAs, somatic copy number alterations
- TCGA, The Cancer Genome Atlas
- TIME, tumor immune microenvironment
- TMB, tumor mutation burden
- TME, tumor microenvironment
- Tumor immune microenvironment
- WGCNA, weighted gene co-expression network analysis
- ssGSEA, single-sample gene-set enrichment analysis
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Affiliation(s)
- Qian Liu
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China
| | - Rongfang Nie
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China
| | - Mengyuan Li
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China
| | - Lin Li
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China
| | - Haiying Zhou
- Department of Orthopedics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Hui Lu
- Department of Orthopedics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China
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