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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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Huang C, Deng W, Xu HZ, Zhou C, Zhang F, Chen J, Bao Q, Zhou X, Liu M, Li J, Liu C. Short-chain fatty acids reprogram metabolic profiles with the induction of reactive oxygen species production in human colorectal adenocarcinoma cells. Comput Struct Biotechnol J 2023; 21:1606-1620. [PMID: 36874158 PMCID: PMC9975252 DOI: 10.1016/j.csbj.2023.02.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 01/05/2023] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 02/15/2023] Open
Abstract
Short-chain fatty acids (SCFAs) exhibit anticancer activity in cellular and animal models of colon cancer. Acetate, propionate, and butyrate are the three major SCFAs produced from dietary fiber by gut microbiota fermentation and have beneficial effects on human health. Most previous studies on the antitumor mechanisms of SCFAs have focused on specific metabolites or genes involved in antitumor pathways, such as reactive oxygen species (ROS) biosynthesis. In this study, we performed a systematic and unbiased analysis of the effects of acetate, propionate, and butyrate on ROS levels and metabolic and transcriptomic signatures at physiological concentrations in human colorectal adenocarcinoma cells. We observed significantly elevated levels of ROS in the treated cells. Furthermore, significantly regulated signatures were involved in overlapping pathways at metabolic and transcriptomic levels, including ROS response and metabolism, fatty acid transport and metabolism, glucose response and metabolism, mitochondrial transport and respiratory chain complex, one-carbon metabolism, amino acid transport and metabolism, and glutaminolysis, which are directly or indirectly linked to ROS production. Additionally, metabolic and transcriptomic regulation occurred in a SCFAs types-dependent manner, with an increasing degree from acetate to propionate and then to butyrate. This study provides a comprehensive analysis of how SCFAs induce ROS production and modulate metabolic and transcriptomic levels in colon cancer cells, which is vital for understanding the mechanisms of the effects of SCFAs on antitumor activity in colon cancer.
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Key Words
- 1H–13C HMBC, 1H–13C Heteronuclear Multiple Bond Correlation Spectroscopy
- 1H–13C HSQC, 1H–13C Heteronuclear Single Quantum Coherence Spectroscopy
- 1H–1H COSY, 1H–1H Correlation Spectroscopy
- 1H–1H TOCSY, 1H–1H Total Correlation Spectroscopy
- ADP, Adenosine diphosphate
- AMP, Adenosine monophosphate
- ATP, Adenosine triphosphate
- Ace, Acetate
- Ach, Acetylcholine
- Ala, Alanine
- CRC, Colorectal Cancer
- Caco-2, Human Colon Adenocarcinoma
- Cho, Choline
- CoA, Coenzyme A
- Cre, Creatine
- DCFH-DA, Dichloro-Dihydro-Fluorescein Diacetate
- DEGs, Differentially Expressed Genes
- DMEM, Dulbecco's Modified Eagle Medium
- DMG, Dimethylglycine
- DNA, Deoxyribonucleic Acid
- EP, Eppendorf
- FA, Formate
- FDR, False Discovery Rate
- Fru, Fructose
- Fum, Fumaric acid
- GLS, Glutaminase
- GSEA, Gene Set Enrichment Analysis
- GSH, Glutathione
- Gal-1-P, Galactose-1-phosphate
- Glc, Glucose
- Gln, Glutamine
- Glu, Glutamate
- Gly, Glycine
- HCT116, Human Colorectal Carcinoma Cell Line
- HEK, Human Embryonic Kidney cells
- HT29, Human Colorectal Adenocarcinoma Cell Line with Epithelial Morphology
- His, Histidine
- Ile, Isoleucine
- J-Res, J-resolved Spectroscopy
- LDH, Lactate Dehydrogenase
- Lac, Lactate
- Leu, Leucine
- Lys, Lysine
- MCF-7, Human Breast Cancer Cell Line with Estrogen
- MCT, Monocarboxylate Transporters
- Met, Methionine
- MetS, Metabolic Syndrome
- Mitochondrial function
- NAD+, Nicotinamide adenine dinucleotide
- NAG, N-Acetyl-L-Glutamine
- NMR, Nuclear Magnetic Resonance
- NMR-based Metabolomics
- NOESY, Nuclear Overhauser Effect Spectroscopy
- O-PLS-DA, Orthogonal Projection to the Latent Structures Discriminant Analysis
- PA, Pantothenate
- PC, Phosphocholine
- PCA, Principal Component Analysis
- PDC, Pyruvate Decarboxylase
- PDK, Pyruvate Dehydrogenase Kinase
- PKC, Protein Kinase C
- PPP, Pentose Phosphate Pathway
- Phe, Phenylalanine
- Pyr, Pyruvate
- RNA, Ribonucleic Acid
- ROS, Reactive Oxygen Species
- RPKM, Reads per Kilobase of Transcript per Million Reads Mapped
- Reactive oxygen species
- SCFAs, Short Chain Fatty Acids
- SLC, Solute-Carrier Genes
- Short-chain fatty acids
- Suc, Succinate
- T2DM, Type 2 Diabetes
- TCA, Tricarboxylic Acid
- Tau, Taurine
- Thr, Threonine
- Transcriptomics
- Tyr, Tyrosine
- UDP, Uridine 5′-diphosphate
- UDP-GLC, UDP Glucose
- UDPG, UDP Glucuronate
- UDPGs, UDP Glucose and UDP Glucuronate
- UMP, Uridine 5′-monophosphate
- Val, Valine
- WST-1, Water-Soluble Tetrazolium salts
- dDNP, dissolution Dynamic Nuclear Polarization
- qRT-PCR, Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction
- α-KIV, α-Keto-isovalerate
- α-KMV, α-keto-β-methyl-valerate
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Affiliation(s)
- Chongyang Huang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Wenjun Deng
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Huan-Zhou Xu
- Department of Pediatrics, Division of Infectious Diseases, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Chen Zhou
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Fan Zhang
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Junfei Chen
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Qinjia Bao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
| | - Maili Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
| | - Jing Li
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chaoyang Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
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Seedorf K, Weber C, Vinson C, Berger S, Vuillard LM, Kiss A, Creusot S, Broux O, Geant A, Ilic C, Lemaitre K, Richard J, Hammoutene A, Mahieux J, Martiny V, Durand D, Melchiore F, Nyerges M, Paradis V, Provost N, Duvivier V, Delerive P. Selective disruption of NRF2-KEAP1 interaction leads to NASH resolution and reduction of liver fibrosis in mice. JHEP Rep 2023; 5:100651. [PMID: 36866391 DOI: 10.1016/j.jhepr.2022.100651] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 11/25/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
Background & Aims Oxidative stress is recognized as a major driver of non-alcoholic steatohepatitis (NASH) progression. The transcription factor NRF2 and its negative regulator KEAP1 are master regulators of redox, metabolic and protein homeostasis, as well as detoxification, and thus appear to be attractive targets for the treatment of NASH. Methods Molecular modeling and X-ray crystallography were used to design S217879 - a small molecule that could disrupt the KEAP1-NRF2 interaction. S217879 was highly characterized using various molecular and cellular assays. It was then evaluated in two different NASH-relevant preclinical models, namely the methionine and choline-deficient diet (MCDD) and diet-induced obesity NASH (DIO NASH) models. Results Molecular and cell-based assays confirmed that S217879 is a highly potent and selective NRF2 activator with marked anti-inflammatory properties, as shown in primary human peripheral blood mononuclear cells. In MCDD mice, S217879 treatment for 2 weeks led to a dose-dependent reduction in NAFLD activity score while significantly increasing liver Nqo1 mRNA levels, a specific NRF2 target engagement biomarker. In DIO NASH mice, S217879 treatment resulted in a significant improvement of established liver injury, with a clear reduction in both NAS and liver fibrosis. αSMA and Col1A1 staining, as well as quantification of liver hydroxyproline levels, confirmed the reduction in liver fibrosis in response to S217879. RNA-sequencing analyses revealed major alterations in the liver transcriptome in response to S217879, with activation of NRF2-dependent gene transcription and marked inhibition of key signaling pathways that drive disease progression. Conclusions These results highlight the potential of selective disruption of the NRF2-KEAP1 interaction for the treatment of NASH and liver fibrosis. Impact and implications We report the discovery of S217879 - a potent and selective NRF2 activator with good pharmacokinetic properties. By disrupting the KEAP1-NRF2 interaction, S217879 triggers the upregulation of the antioxidant response and the coordinated regulation of a wide spectrum of genes involved in NASH disease progression, leading ultimately to the reduction of both NASH and liver fibrosis progression in mice.
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Key Words
- 4-HNE, 4-hydroxynonenal
- ARE, antioxidant response element
- DIO, diet-induced obesity
- GSEA, Gene Set Enrichment Analysis
- HEC, hydroxyethyl cellulose
- HSCs, Hepatic Stellate Cells
- KEAP1, Kelch-like ECH associated protein 1
- LPS, lipopolysaccharide
- MCDD, methionine- and choline-deficient diet
- NAFLD, non-alcoholic fatty liver disease
- NAS, NAFLD activity score
- NASH
- NASH, non-alcoholic steatohepatitis
- NRF2
- NRF2, nuclear factor erythroid 2–related factor 2
- PPI, Protein-protein interaction
- PSR, Picrosirius red
- ROS, reactive oxygen species
- fibrosis
- hPBMCs, human peripheral blood mononuclear cells
- oxidative stress
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Wang W, Zhang J, Wang Y, Xu Y, Zhang S. Identifies microtubule-binding protein CSPP1 as a novel cancer biomarker associated with ferroptosis and tumor microenvironment. Comput Struct Biotechnol J 2022; 20:3322-3335. [PMID: 35832625 PMCID: PMC9253833 DOI: 10.1016/j.csbj.2022.06.046] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [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: 04/24/2022] [Revised: 06/19/2022] [Accepted: 06/21/2022] [Indexed: 12/02/2022] Open
Abstract
Centrosome and spindle pole-associated protein (CSPP1) is a centrosome and microtubule-binding protein that plays a role in cell cycle-dependent cytoskeleton organization and cilia formation. Previous studies have suggested that CSPP1 plays a role in tumorigenesis; however, no pan-cancer analysis has been performed. This study systematically investigates the expression of CSPP1 and its potential clinical outcomes associated with diagnosis, prognosis, and therapy. CSPP1 is widely present in tissues and cells and its aberrant expression serves as a diagnostic biomarker for cancer. CSPP1 dysregulation is driven by multi-dimensional mechanisms involving genetic alterations, DNA methylation, and miRNAs. Phosphorylation of CSPP1 at specific sites may play a role in tumorigenesis. In addition, CSPP1 correlates with clinical features and outcomes in multiple cancers. Take brain low-grade gliomas (LGG) with a poor prognosis as an example, functional enrichment analysis implies that CSPP1 may play a role in ferroptosis and tumor microenvironment (TME), including regulating epithelial-mesenchymal transition, stromal response, and immune response. Further analysis confirms that CSPP1 dysregulates ferroptosis in LGG and other cancers, making it possible for ferroptosis-based drugs to be used in the treatment of these cancers. Importantly, CSPP1-associated tumors are infiltrated in different TMEs, rendering immune checkpoint blockade therapy beneficial for these cancer patients. Our study is the first to demonstrate that CSPP1 is a potential diagnostic and prognostic biomarker associated with ferroptosis and TME, providing a new target for drug therapy and immunotherapy in specific cancers.
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Key Words
- ACC, adrenocortical carcinoma
- BP, biological pathways
- BRCA, breast invasive carcinoma
- Biomarker
- C-index, concordance index
- CAF, cancer-associated fibroblasts
- CC, cellular component
- CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma
- CHOL, cholangiocarcinoma
- CNA, copy number alteration
- COAD, colon adenocarcinoma
- CPTAC, Clinical Proteomic Tumor Analysis Consortium
- CSPP1
- CSPP1, centrosome and spindle pole-associated protein
- CTL, cytotoxic T lymphocyte
- DEGs, differentially expressed genes
- DLBC, diffuse large B-cell lymphoma
- DSS, disease-specific survival
- EMT, epithelial-mesenchymal transition
- ENCORI, Encyclopedia of RNA Interactomes
- ESCA, esophageal carcinoma
- FAG, ferroptosis-associated gene
- FDG, ferroptosis-driver gene
- FSG, ferroptosis-suppressor gene
- Ferroptosis
- GBM, glioblastoma multiforme
- GO, Gene Ontology
- GSEA, Gene Set Enrichment Analysis
- GSVA, gene set variation analysis
- GTEx, Genotype-Tissue Expression
- HNSC, head and neck squamous cell carcinoma
- ICB, immune checkpoint blockade
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- KICH, kidney chromophobe
- KIRC, renal clear cell carcinoma
- KM, Kaplan-Meier
- LAML, acute myeloid leukemia
- LGG, low-grade gliomas
- LIHC, liver hepatocellular carcinoma
- LUAD, lung adenocarcinoma
- LUSC, lung squamous cell carcinoma
- MF, molecular functions
- MHC, major histocompatibility complex
- MSI, microsatellite instability
- OS, overall survival
- OV, ovarian serous cystadenocarcinoma
- PAAD, pancreatic adenocarcinoma
- PFI, progression-free interval
- PFS, progression-free survival
- PRAD, prostate cancer
- Pan-cancer
- READ, rectum adenocarcinoma
- ROC, receiver operating characteristics
- SKCM, skin cutaneous melanoma
- TCGA, The Cancer Genome Atlas
- TGCT, testicular germ cell tumors, STAD, stomach adenocarcinoma
- THCA, thyroid cancer
- THYM, thymoma
- TIDE, Tumor Immune Dysfunction and Exclusion
- TIMER, Tumor Immune Estimation Resource
- TISIDB, Tumor-Immune System Interactions DataBase
- TMB, tumor mutation burden
- TME, tumor microenvironment
- Tumor microenvironment
- UCEC, endometrial cancer uterine corpus endometrial carcinoma
- UCS, uterine carcinosarcoma
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Affiliation(s)
- Wenwen Wang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, China
| | - Jingjing Zhang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, China
| | - Yuqing Wang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, China
| | - Yasi Xu
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, China
| | - Shirong Zhang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, China
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Lin BB, Lei HQ, Xiong HY, Fu X, Shi F, Yang XW, Yang YF, Liao GL, Feng YP, Jiang DG, Pang J. MicroRNA-regulated transcriptome analysis identifies four major subtypes with prognostic and therapeutic implications in prostate cancer. Comput Struct Biotechnol J 2021; 19:4941-4953. [PMID: 34527198 PMCID: PMC8433071 DOI: 10.1016/j.csbj.2021.08.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 03/17/2021] [Revised: 08/28/2021] [Accepted: 08/29/2021] [Indexed: 12/12/2022] Open
Abstract
MicroRNA (miRNA) deregulation plays a critical role in the heterogeneous development of prostate cancer (PCa) by tuning mRNA levels. Herein, we aimed to characterize the molecular features of PCa by clustering the miRNA-regulated transcriptome with non-negative matrix factorization. Using 478 PCa samples from The Cancer Genome Atlas, four molecular subtypes (S-I, S-II, S-III, and S-IV) were identified and validated in two merged microarray and RNAseq datasets with 656 and 252 samples, respectively. Interestingly, the four subtypes showed distinct clinical and biological features after comprehensive analyses of clinical features, multiomic profiles, immune infiltration, and drug sensitivity. S-I is basal/stem/mesenchymal-like and immune-excluded with marked transforming growth factor β, epithelial-mesenchymal transition and hypoxia signals, increased sensitivity to olaparib, and intermediate prognosis. S-II is luminal/metabolism-active and responsive to androgen deprivation therapy with frequent TMPRSS2-ERG fusion and a good prognosis. S-III is characterized by moderate proliferative and metabolic activity, sensitivity to taxane-based chemotherapy, and intermediate prognosis. S-IV is highly proliferative with moderate EMT and stemness, frequent deletions of TP53, PTEN and RB, and the poorest prognosis; it is also immune-inflamed and sensitive to anti-PD-L1 therapy. Overall, based on miRNA-regulated gene profiles, this study identified four distinct PCa subtypes that could improve risk stratification at diagnosis and provide therapeutic guidance.
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Key Words
- ADT, androgen deprivation therapy
- AR, androgen receptor
- AUC, Area under the dose-response curve
- BCR, biochemical recurrence
- CAFs, cancer-associated fibroblasts
- CCLs, cancer cell lines
- CTLA-4, cytotoxic T-lymphocyte associated protein-4
- DEmiRs, differentially expressed miRNAs
- DFS, disease-free survival
- EMT, epithelial-mesenchymal transition
- FDR, false discovery rate
- GEO, Gene Expression Omnibus
- GEP, gene expression profile
- GO, Gene Ontology
- GSEA, Gene Set Enrichment Analysis
- Heterogeneity
- ICB, immune checkpoint blockade
- IFN, interferon
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- MDSCs, myeloid-derived suppressor cells
- MIRcor, miRNA-correlated
- Molecular subtypes
- NEPC, neuroendocrine prostate cancer
- NMF, non-negative matrix factorization
- NTP, Nearest template prediction
- OS, overall survival
- PCa, prostate cancer
- PD-1, programmed cell death protein-1
- PD-L1, programmed death-ligand 1
- Prostate cancer
- SCNAs, somatic copy number alterations
- SubMap, Subclass mapping
- TCGA, The Cancer Genome Atlas
- TGFβ, transforming growth factor β
- TMB, tumor mutation burden
- TNAs, tumor neoantigens
- Tregs, regulatory T cells
- k-NN, K-nearest neighbor
- mCRPC, metastatic castration-resistant prostate cancer
- miRNAs
- miRNAs, microRNAs
- ssGSEA, single-sample gene set enrichment analysis
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Affiliation(s)
- Bing-Biao Lin
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Han-Qi Lei
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Hai-Yun Xiong
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Xing Fu
- School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, Guangdong 518055, China
| | - Fu Shi
- Department of Reproductive Medicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong 518000, China
| | - Xiang-Wei Yang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Ya-Fei Yang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Guo-Long Liao
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Yu-Peng Feng
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Dong-Gen Jiang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Jun Pang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
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Andey T, Attah MM, Akwaaba-Reynolds NA, Cheema S, Parvin-Nejad S, Acquaah-Mensah GK. Enhanced immortalization, HUWE1 mutations and other biological drivers of breast invasive carcinoma in Black/African American patients. Gene 2020; 5:100030. [PMID: 32550556 PMCID: PMC7286073 DOI: 10.1016/j.gene.2020.100030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 03/08/2020] [Indexed: 02/07/2023]
Abstract
Black/African-American (B/AA) breast cancer patients tend to have more aggressive tumor biology compared to White/Caucasians. In this study, a variety of breast tumor molecular expression profiles of patients derived from the two racial groupings were investigated. Breast invasive carcinoma sample data (RNASeq version 2, Reverse Phase Protein Array, mutation, and miRSeq data) from the Cancer Genome Atlas were examined. The results affirm that B/AA patients are more likely than Caucasian patients to harbor the aggressive basal-like or the poor prognosis-associated HER2-enriched molecular subtypes of breast cancer. There is also a higher incidence of the triple-negative breast cancer (TNBC) among B/AA patients than the general population, a fact reflected in the mutation patterns of genes such as PIK3CA and TP53. Furthermore, an immortalization signature gene set, is enriched in samples from B/AA patients. Among stage III patients, TERT, DRAP1, and PQBP1, all members of the immortalization gene signature set, are among master-regulators with increased activity in B/AA patients. Master-regulators driving differences in expression profiles between the two groups include immortalization markers, senescence markers, and immune response and redox gene products. Differences in expression, between B/AA and Caucasian patients, of RB1, hsa-let-7a, E2F1, c-MYC, TERT, and other biomolecules appear to cooperate to enhance entry into the S-phase of the cell cycle in B/AA patients. Higher expression of miR-221, an oncomiR that facilitates entry into the cell cycle S-phase, is regulated by c-MYC, which is expressed more in breast cancer samples from B/AA patients. Furthermore, the cell migration- and invasion-promoting miRNA, miR-135b, has increased relative expression in B/AA patients. Knock down of the immortalization marker TERT inhibited triple-negative breast cancer cell lines (MDA-MB-231 and MDA-MB-468) cell viability and decreased expression of TERT, MYC and WNT11. For those patients with available survival data, prognosis of stage II patients 50 years of age or younger at diagnosis, was distinctly poorer in B/AA patients. Also associated with this subset of B/AA patients are missense mutations in HUWE1 and PTEN expression loss. Relative to Caucasian non-responders to endocrine therapy, B/AA non-responders show suppressed expression of a signature gene set on which biological processes including signaling by interleukins, circadian clock, regulation of lipid metabolism by PPARα, FOXO-mediated transcription, and regulation of TP53 degradation are over-represented. Thus, we identify molecular expression patterns suggesting diminished response to oxidative stress, changes in regulation of tumor suppressors/facilitators, and enhanced immortalization in B/AA patients are likely important in defining the more aggressive molecular tumor phenotype reported in B/AA patients.
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Key Words
- ARACNe, Algorithm for the Reconstruction of Accurate Cellular Networks
- African
- B/AA, Black/African-American breast cancer patients
- B/AA50, Black/African-American stage II breast invasive carcinoma patients diagnosed at age 50 years or younger
- BrCA, breast invasive carcinoma
- Breast invasive carcinoma
- DE, differential expression
- DM, differential mutation
- EMT, Epithelial-Mesenchymal Transition
- GSEA, Gene Set Enrichment Analysis
- Immortalization
- Molecular subtype
- RMA, robust multi-array average
- RPPA, Reverse Phase Protein Array
- Race
- TCGA, the Cancer Genome Atlas
- TNBC, triple-negative breast cancer
- TRN, Transcriptional Regulatory Network
- Triple-negative breast cancer
- VIPER, Virtual Inference of Protein activity by Enriched Regulon Analysis
- W50, White stage II breast invasive carcinoma patients diagnosed at age 50 years or younger
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Affiliation(s)
- Terrick Andey
- Department of Pharmaceutical Sciences, School of Pharmacy, MCPHS University, 19 Foster St, Worcester, MA 01608, USA
| | | | - Nana Adwoa Akwaaba-Reynolds
- Department of Pharmaceutical Sciences, School of Pharmacy, MCPHS University, 19 Foster St, Worcester, MA 01608, USA
| | - Sana Cheema
- Department of Pharmaceutical Sciences, School of Pharmacy, MCPHS University, 19 Foster St, Worcester, MA 01608, USA
| | - Sara Parvin-Nejad
- Department of Pharmaceutical Sciences, School of Pharmacy, MCPHS University, 19 Foster St, Worcester, MA 01608, USA
| | - George K. Acquaah-Mensah
- Department of Pharmaceutical Sciences, School of Pharmacy, MCPHS University, 19 Foster St, Worcester, MA 01608, USA
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Dyar KA, Ciciliot S, Wright LE, Biensø RS, Tagliazucchi GM, Patel VR, Forcato M, Paz MIP, Gudiksen A, Solagna F, Albiero M, Moretti I, Eckel-Mahan KL, Baldi P, Sassone-Corsi P, Rizzuto R, Bicciato S, Pilegaard H, Blaauw B, Schiaffino S. Muscle insulin sensitivity and glucose metabolism are controlled by the intrinsic muscle clock. Mol Metab 2013; 3:29-41. [PMID: 24567902 PMCID: PMC3929910 DOI: 10.1016/j.molmet.2013.10.005] [Citation(s) in RCA: 289] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 10/14/2013] [Accepted: 10/17/2013] [Indexed: 12/21/2022] Open
Abstract
Circadian rhythms control metabolism and energy homeostasis, but the role of the skeletal muscle clock has never been explored. We generated conditional and inducible mouse lines with muscle-specific ablation of the core clock gene Bmal1. Skeletal muscles from these mice showed impaired insulin-stimulated glucose uptake with reduced protein levels of GLUT4, the insulin-dependent glucose transporter, and TBC1D1, a Rab-GTPase involved in GLUT4 translocation. Pyruvate dehydrogenase (PDH) activity was also reduced due to altered expression of circadian genes Pdk4 and Pdp1, coding for PDH kinase and phosphatase, respectively. PDH inhibition leads to reduced glucose oxidation and diversion of glycolytic intermediates to alternative metabolic pathways, as revealed by metabolome analysis. The impaired glucose metabolism induced by muscle-specific Bmal1 knockout suggests that a major physiological role of the muscle clock is to prepare for the transition from the rest/fasting phase to the active/feeding phase, when glucose becomes the predominant fuel for skeletal muscle.
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Key Words
- 2-DG, 2-Deoxyglucose
- BSA, bovine serum albumin
- Bmal1
- Circadian rhythms
- GSEA, Gene Set Enrichment Analysis
- Glucose metabolism
- Glucose uptake
- HK2, hexokinase 2
- KHB, Krebs–Henseleit buffer
- Muscle insulin resistance
- PDH, pyruvate dehydrogenase
- PDK, PDH kinase
- PDP, PDH phosphatase
- SCN, suprachiasmatic nucleus
- Skeletal muscle
- ZT, Zeitgeber time
- imKO, inducible muscle-specific Bmal1 knockout
- mKO, muscle-specific Bmal1 knockout
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Affiliation(s)
- Kenneth A Dyar
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
| | - Stefano Ciciliot
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
| | - Lauren E Wright
- Department of Biomedical Sciences, University of Padova, Italy
| | - Rasmus S Biensø
- Department of Biology, Molecular Integrative Physiology, University of Copenhagen, Denmark
| | - Guidantonio M Tagliazucchi
- Center for Genome Research, Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Vishal R Patel
- Department of Computer Science, Institute for Genomics and Bioinformatics, UC Irvine, USA
| | - Mattia Forcato
- Center for Genome Research, Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marcia I P Paz
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
| | - Anders Gudiksen
- Department of Biology, Molecular Integrative Physiology, University of Copenhagen, Denmark
| | - Francesca Solagna
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
| | - Mattia Albiero
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
| | - Irene Moretti
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy ; CNR Institute of Neuroscience, Padova, Italy
| | | | - Pierre Baldi
- Department of Computer Science, Institute for Genomics and Bioinformatics, UC Irvine, USA
| | | | - Rosario Rizzuto
- Department of Biomedical Sciences, University of Padova, Italy ; CNR Institute of Neuroscience, Padova, Italy
| | - Silvio Bicciato
- Center for Genome Research, Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Henriette Pilegaard
- Department of Biology, Molecular Integrative Physiology, University of Copenhagen, Denmark
| | - Bert Blaauw
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy ; Department of Biomedical Sciences, University of Padova, Italy
| | - Stefano Schiaffino
- Venetian Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy ; CNR Institute of Neuroscience, Padova, Italy
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