Unravelling infiltrating T‐cell heterogeneity in kidney renal clear cell carcinoma: Integrative single‐cell and spatial transcriptomic profiling

Kidney renal clear cell carcinoma (KIRC) pathogenesis intricately involves immune system dynamics, particularly the role of T cells within the tumour microenvironment. Through a multifaceted approach encompassing single‐cell RNA sequencing, spatial transcriptome analysis and bulk transcriptome profiling, we systematically explored the contribution of infiltrating T cells to KIRC heterogeneity. Employing high‐density weighted gene co‐expression network analysis (hdWGCNA), module scoring and machine learning, we identified a distinct signature of infiltrating T cell‐associated genes (ITSGs). Spatial transcriptomic data were analysed using robust cell type decomposition (RCTD) to uncover spatial interactions. Further analyses included enrichment assessments, immune infiltration evaluations and drug susceptibility predictions. Experimental validation involved PCR experiments, CCK‐8 assays, plate cloning assays, wound‐healing assays and Transwell assays. Six subpopulations of infiltrating and proliferating T cells were identified in KIRC, with notable dynamics observed in mid‐ to late‐stage disease progression. Spatial analysis revealed significant correlations between T cells and epithelial cells across varying distances within the tumour microenvironment. The ITSG‐based prognostic model demonstrated robust predictive capabilities, implicating these genes in immune modulation and metabolic pathways and offering prognostic insights into drug sensitivity for 12 KIRC treatment agents. Experimental validation underscored the functional relevance of PPIB in KIRC cell proliferation, invasion and migration. Our study comprehensively characterizes infiltrating T‐cell heterogeneity in KIRC using single‐cell RNA sequencing and spatial transcriptome data. The stable prognostic model based on ITSGs unveils infiltrating T cells' prognostic potential, shedding light on the immune microenvironment and offering avenues for personalized treatment and immunotherapy.

[1]  Chenglu Jiang,et al.  Precision unveiled: Synergistic genomic landscapes in breast cancer—Integrating single‐cell analysis and decoding drug toxicity for elite prognostication and tailored therapeutics , 2024, Environmental toxicology.

[2]  Zhaomin Yao,et al.  DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features , 2024, Comput. Biol. Medicine.

[3]  Gang Tian,et al.  Elucidating the Influence of MPT-driven necrosis-linked LncRNAs on immunotherapy outcomes, sensitivity to chemotherapy, and mechanisms of cell death in clear cell renal carcinoma , 2023, Frontiers in Oncology.

[4]  Gang Tian,et al.  Unraveling the role of disulfidptosis-related LncRNAs in colon cancer: a prognostic indicator for immunotherapy response, chemotherapy sensitivity, and insights into cell death mechanisms , 2023, Frontiers in molecular biosciences.

[5]  Shenmin Zhang,et al.  Uncovering the immune microenvironment and molecular subtypes of hepatitis B-related liver cirrhosis and developing stable a diagnostic differential model by machine learning and artificial neural networks , 2023, Frontiers in Molecular Biosciences.

[6]  Y. Lee A multidisciplinary approach with immunotherapies for advanced hepatocellular carcinoma , 2023, Journal of liver cancer.

[7]  Shenmin Zhang,et al.  Construction of a diagnostic model for hepatitis B-related hepatocellular carcinoma using machine learning and artificial neural networks and revealing the correlation by immunoassay , 2023, Tumour Virus Research.

[8]  Shenmin Zhang,et al.  Proposing new early detection indicators for pancreatic cancer: Combining machine learning and neural networks for serum miRNA-based diagnostic model , 2023, Frontiers in oncology.

[9]  Guobin Song,et al.  CD8 + T-cell marker genes reveal different immune subtypes of oral lichen planus by integrating single-cell RNA-seq and bulk RNA-sequencing , 2023, BMC Oral Health.

[10]  G. T. Eisenhoffer,et al.  Macrophage Migration Inhibitory Factor on Apoptotic Extracellular Vesicles Regulates Compensatory Proliferation , 2023, bioRxiv.

[11]  Yuxuan Song,et al.  Immune checkpoint inhibitor combination therapy leads to more nephrotoxicity in advanced renal cell carcinoma patients , 2023, World journal of urology.

[12]  Jingyao Chen,et al.  The predictive effect of immune therapy and chemotherapy under T cell-related gene prognostic index for Gastric cancer , 2023, Frontiers in Cell and Developmental Biology.

[13]  M. Bagiński,et al.  Cancer immune escape: the role of antigen presentation machinery , 2023, Journal of Cancer Research and Clinical Oncology.

[14]  Guobin Song,et al.  T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis via integrating single-cell RNA-seq and bulk RNA-sequencing , 2023, Frontiers in Immunology.

[15]  Zhenyu Cai,et al.  C1QC is a prognostic biomarker with immune-related value in kidney renal clear cell carcinoma , 2023, Frontiers in Genetics.

[16]  Side Liu,et al.  Microdissecting the Hypoxia Landscape in Colon Cancer Reveals Three Distinct Subtypes and Their Potential Mechanism to Facilitate the Development of Cancer , 2023, Journal of oncology.

[17]  A. Ji,et al.  The Use of Single-Cell RNA-Sequencing and Spatial Transcriptomics in Understanding the Pathogenesis and Treatment of Skin Diseases , 2023, JID innovations : skin science from molecules to population health.

[18]  M. Verdonck,et al.  An mRNA mix redirects dendritic cells towards an antiviral program, inducing anticancer cytotoxic stem cell and central memory CD8+ T cells , 2023, Frontiers in Immunology.

[19]  Jinhui Liu,et al.  The LncRNA signature associated with cuproptosis as a novel biomarker of prognosis in immunotherapy and drug screening for clear cell renal cell carcinoma , 2023, Frontiers in Genetics.

[20]  Jie Zhang,et al.  Integrated analysis of single-cell RNA-seq and bulk RNA-seq unveils heterogeneity and establishes a novel signature for prognosis and tumor immune microenvironment in ovarian cancer , 2023, Journal of Ovarian Research.

[21]  Dongwen Wang,et al.  Development and validation of a novel 5 cuproptosis-related long noncoding RNA signature to predict diagnosis, prognosis, and drug therapy in clear cell renal cell carcinoma , 2023, Translational andrology and urology.

[22]  Mohammad H Al-thnaibat,et al.  Etiologies, Gross Appearance, Histopathological Patterns, Prognosis, and Best Treatments for Subtypes of Renal Carcinoma: An Educational Review , 2022, Cureus.

[23]  Xiaosong Li,et al.  IL-7: A promising adjuvant ensuring effective T cell responses and memory in combination with cancer vaccines? , 2022, Frontiers in Immunology.

[24]  Hao Xiong,et al.  Calreticulin as a prognostic biomarker and correlated with immune infiltrate in kidney renal clear cell carcinoma , 2022, Frontiers in Genetics.

[25]  Kai Shu,et al.  Targeting FGL2 in glioma immunosuppression and malignant progression , 2022, Frontiers in Oncology.

[26]  Bingbing Shen,et al.  A novel necroptosis-related lncRNA signature predicts the prognosis and immune microenvironment of hepatocellular carcinoma , 2022, Frontiers in Genetics.

[27]  Z. Shao,et al.  Immunosuppressive lncRNA LINC00624 promotes tumor progression and therapy resistance through ADAR1 stabilization , 2022, Journal for ImmunoTherapy of Cancer.

[28]  Q. Qi,et al.  Identification of ST3GAL5 as a prognostic biomarker correlating with CD8+ T cell exhaustion in clear cell renal cell carcinoma , 2022, Frontiers in Immunology.

[29]  Evan Z. Macosko,et al.  Cell type-specific inference of differential expression in spatial transcriptomics , 2022, Nature Methods.

[30]  Ding Wu,et al.  Screening of Differentially Expressed Iron Death-Related Genes and the Construction of Prognosis Model in Patients with Renal Clear Cell Carcinoma , 2022, Computational and mathematical methods in medicine.

[31]  M. Gordon,et al.  Comparing statistical methods in assessing the prognostic effect of biomarker variability on time-to-event clinical outcomes , 2022, BMC Medical Research Methodology.

[32]  Hongtuan Zhang,et al.  Cuproptosis-Associated lncRNA Establishes New Prognostic Profile and Predicts Immunotherapy Response in Clear Cell Renal Cell Carcinoma , 2022, Frontiers in Genetics.

[33]  Wei Gao,et al.  Molecular Subtyping Based on Cuproptosis-Related Genes and Characterization of Tumor Microenvironment Infiltration in Kidney Renal Clear Cell Carcinoma , 2022, Frontiers in Oncology.

[34]  T. Habuchi,et al.  Severe Immune-Related Adverse Events in Patients Treated with Nivolumab for Metastatic Renal Cell Carcinoma Are Associated with PDCD1 Polymorphism , 2022, Genes.

[35]  Guangzhen Wu,et al.  Development of a Novel Sphingolipid Signaling Pathway-Related Risk Assessment Model to Predict Prognosis in Kidney Renal Clear Cell Carcinoma , 2022, Frontiers in Cell and Developmental Biology.

[36]  Y. Tada,et al.  Dendritic Cells and Macrophages in the Pathogenesis of Psoriasis , 2022, Frontiers in Immunology.

[37]  J. Neumann,et al.  Markers of Immune Cell Exhaustion as Predictor of Survival in Surgically-Treated Early-Stage NSCLC , 2022, Frontiers in Immunology.

[38]  Shengming Liu,et al.  N 6 -Methyladenosine-Related Long Non-Coding RNAs Are Identified as a Potential Prognostic Biomarker for Lung Squamous Cell Carcinoma and Validated by Real-Time PCR , 2022, Frontiers in Genetics.

[39]  Xiaolong Yan,et al.  Lysine Acetylation/Deacetylation Modification of Immune-Related Molecules in Cancer Immunotherapy , 2022, Frontiers in Immunology.

[40]  H. Lan,et al.  Macrophage Migration Inhibitory Factor (MIF) as a Stress Molecule in Renal Inflammation , 2022, International journal of molecular sciences.

[41]  Jialang Zhuang,et al.  ASPM Is a Prognostic Biomarker and Correlates With Immune Infiltration in Kidney Renal Clear Cell Carcinoma and Liver Hepatocellular Carcinoma , 2022, Frontiers in Oncology.

[42]  Zixuan Cang,et al.  Deciphering tissue structure and function using spatial transcriptomics , 2022, Communications Biology.

[43]  Zhaomin Yao,et al.  Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches , 2022, Frontiers in Genetics.

[44]  Fan Yang,et al.  Generation and Analysis of Pyroptosis-Based and Immune-Based Signatures for Kidney Renal Clear Cell Carcinoma Patients, and Cell Experiment , 2022, Frontiers in Genetics.

[45]  S. Barry,et al.  Modulation of Type I Interferon Responses to Influence Tumor-Immune Cross Talk in PDAC , 2022, Frontiers in Cell and Developmental Biology.

[46]  Ji Hyun Lee,et al.  A Two-Part Mixed Model for Differential Expression Analysis in Single-Cell High-Throughput Gene Expression Data , 2022, Genes.

[47]  Jun Xia,et al.  ADAM metallopeptidase domain 12 overexpression correlates with prognosis and immune cell infiltration in clear cell renal cell carcinoma , 2022, Bioengineered.

[48]  Liu Yang,et al.  Targeting the Tumor Microenvironment: A Literature Review of the Novel Anti-Tumor Mechanism of Statins , 2021, Frontiers in Oncology.

[49]  Chun-yan Zhang,et al.  Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment , 2021, World Journal of Surgical Oncology.

[50]  K. Matsuoka,et al.  Harnessing Treg Homeostasis to Optimize Posttransplant Immunity: Current Concepts and Future Perspectives , 2021, Frontiers in Immunology.

[51]  Xiaochen Bo,et al.  clusterProfiler 4.0: A universal enrichment tool for interpreting omics data , 2021, Innovation.

[52]  Q. Ma,et al.  Tumor Microenvironment Characteristics of Pancreatic Cancer to Determine Prognosis and Immune-Related Gene Signatures , 2021, Frontiers in Molecular Biosciences.

[53]  G. Giaccone,et al.  Sex-based dimorphism of anticancer immune response and molecular mechanisms of immune evasion , 2021, Clinical Cancer Research.

[54]  S. Drăghici,et al.  Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer , 2021, Cancers.

[55]  Jong Sil Lee,et al.  Prognostic role of macrophage migration inhibitory factor in patients with clear cell renal cell carcinoma , 2020, Medicine.

[56]  B. Ueberheide,et al.  Quantitative phosphoproteomic analysis reveals involvement of PD-1 in multiple T cell functions , 2020, The Journal of Biological Chemistry.

[57]  Raphael Gottardo,et al.  Integrated analysis of multimodal single-cell data , 2020, Cell.

[58]  Adriana Gutiérrez-Hoya,et al.  Role of the JAK/STAT Pathway in Cervical Cancer: Its Relationship with HPV E6/E7 Oncoproteins , 2020, Cells.

[59]  Lihua Zhang,et al.  Inference and analysis of cell-cell communication using CellChat , 2020, Nature Communications.

[60]  Xueqiang Zhao,et al.  The Role of Macrophage Migration Inhibitory Factor (MIF) in Asthmatic Airway Remodeling , 2020, Allergy, asthma & immunology research.

[61]  Kevin C. Wang,et al.  The antifibrotic adipose‐derived stromal cell: Grafted fat enriched with CD74+ adipose‐derived stromal cells reduces chronic radiation‐induced skin fibrosis , 2020, Stem cells translational medicine.

[62]  Aklank Jain,et al.  Emerging neo adjuvants for harnessing therapeutic potential of M1 tumor associated macrophages (TAM) against solid tumors: Enusage of plasticity , 2020, Annals of translational medicine.

[63]  Zhanhao Hu,et al.  Activation-Induced Cytidine Deaminase Expression Facilitates the Malignant Phenotype and Epithelial-to-Mesenchymal Transition in Clear Cell Renal Cell Carcinoma. , 2020, DNA and cell biology.

[64]  D. Grieco,et al.  Exploiting immune-dependent effects of microtubule-targeting agents to improve efficacy and tolerability of cancer treatment , 2020, Cell Death & Disease.

[65]  A. Berghoff,et al.  New emerging targets in cancer immunotherapy: CD27 (TNFRSF7) , 2020, ESMO Open.

[66]  T. Forsthuber,et al.  Memory CD4+ T Cells in Immunity and Autoimmune Diseases , 2020, Cells.

[67]  S. Tommasi,et al.  miRNAs as Key Players in the Management of Cutaneous Melanoma , 2020, Cells.

[68]  R. Zagożdżon,et al.  Targeting Negative and Positive Immune Checkpoints with Monoclonal Antibodies in Therapy of Cancer , 2019, Cancers.

[69]  E. Mazzon,et al.  Overexpression of Macrophage Migration Inhibitory Factor and Its Homologue D-Dopachrome Tautomerase as Negative Prognostic Factor in Neuroblastoma , 2019, Brain sciences.

[70]  Kamil Slowikowski,et al.  Fast, sensitive, and accurate integration of single cell data with Harmony , 2019, Nature Methods.

[71]  D. M. Richards,et al.  HERA-GITRL activates T cells and promotes anti-tumor efficacy independent of FcγR-binding functionality , 2019, Journal of Immunotherapy for Cancer.

[72]  Daniel T. Fisher,et al.  Dose-Dependent Sorafenib-Induced Immunosuppression Is Associated with Aberrant NFAT Activation and Expression of PD-1 in T Cells , 2019, Cancers.

[73]  M. Redondo,et al.  Targeting Protein Kinases to Enhance the Response to anti-PD-1/PD-L1 Immunotherapy , 2019, International journal of molecular sciences.

[74]  Aiwu Zhou,et al.  Characterization of PPIB interaction in the P3H1 ternary complex and implications for its pathological mutations , 2019, Cellular and Molecular Life Sciences.

[75]  Y. Ouyang,et al.  Immune infiltration in renal cell carcinoma , 2019, Cancer science.

[76]  Z. Zeng,et al.  Role of the tumor microenvironment in PD-L1/PD-1-mediated tumor immune escape , 2019, Molecular Cancer.

[77]  A. Butte,et al.  Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage , 2018, Nature Immunology.

[78]  A. Khodadadi,et al.  Overexpression of Regulatory T Cell-Related Markers (FOXP3, CTLA-4 and GITR) by Peripheral Blood Mononuclear Cells from Patients with Breast Cancer , 2018, Asian Pacific journal of cancer prevention : APJCP.

[79]  Yassen Assenov,et al.  Maftools: efficient and comprehensive analysis of somatic variants in cancer , 2018, Genome research.

[80]  P. Buchwald,et al.  Toward Small-Molecule Inhibition of Protein-Protein Interactions: General Aspects and Recent Progress in Targeting Costimulatory and Coinhibitory (Immune Checkpoint) Interactions. , 2018, Current topics in medicinal chemistry.

[81]  Jaime L. Chao,et al.  Unlocking the Complexities of Tumor-Associated Regulatory T Cells , 2018, The Journal of Immunology.

[82]  Yun Xu,et al.  EZH2 suppression in glioblastoma shifts microglia toward M1 phenotype in tumor microenvironment , 2017, Journal of Neuroinflammation.

[83]  C. De Virgilio,et al.  The Architecture of the Rag GTPase Signaling Network , 2017, Biomolecules.

[84]  J. Chao,et al.  PD-1 and PD-L1 as emerging therapeutic targets in gastric cancer: current evidence , 2017, Gastrointestinal cancer : targets and therapy.

[85]  Andrew J. Hill,et al.  Single-cell mRNA quantification and differential analysis with Census , 2017, Nature Methods.

[86]  R. Pulido,et al.  Fibroblast activation protein predicts prognosis in clear cell renal cell carcinoma. , 2016, Human pathology.

[87]  Moto Kajiwara,et al.  Role of mTOR Inhibitors in Kidney Disease , 2016, International journal of molecular sciences.

[88]  David G. Kirsch,et al.  Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma , 2016, Genome Biology.

[89]  N. Drela,et al.  Day/night changes of thymus-deriving natural regulatory T cell development and function , 2014, Journal of Neuroimmunology.

[90]  N. Cox,et al.  Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines , 2014, Genome Biology.

[91]  S. Steinberg,et al.  Soluble CD27-Pool in Humans May Contribute to T Cell Activation and Tumor Immunity , 2013, The Journal of Immunology.

[92]  Justin Guinney,et al.  GSVA: gene set variation analysis for microarray and RNA-Seq data , 2013, BMC Bioinformatics.

[93]  M. Donia,et al.  Effector CD4 and CD8 T Cells and Their Role in the Tumor Microenvironment , 2012, Cancer Microenvironment.

[94]  Bo Zhang,et al.  Role of Macrophage Migration Inhibitory Factor in the Proliferation of Smooth Muscle Cell in Pulmonary Hypertension , 2012, Mediators of inflammation.

[95]  J. Wolchok,et al.  Beyond Cancer Vaccines: A Reason for Future Optimism With Immunomodulatory Therapy , 2011, Cancer journal.

[96]  S. Ancoli-Israel,et al.  Macrophage migratory inhibitory factor (MIF) may be a key factor in inflammation in obstructive sleep apnea. , 2011, Sleep.

[97]  Doheon Lee,et al.  Context-dependent transcriptional regulations between signal transduction pathways , 2011, BMC Bioinformatics.

[98]  A. Skapenko,et al.  Immune regulation by peripheral suppressor T cells induced upon homotypic T cell/T cell interactions , 2010, Journal of leukocyte biology.

[99]  Dongxia Gao,et al.  Systematic Analysis of Immune Infiltrates in High-Grade Serous Ovarian Cancer Reveals CD20, FoxP3 and TIA-1 as Positive Prognostic Factors , 2009, PloS one.

[100]  F. Garrido,et al.  Regressing and progressing metastatic lesions: resistance to immunotherapy is predetermined by irreversible HLA class I antigen alterations , 2008, Cancer Immunology, Immunotherapy.

[101]  R. Kennedy,et al.  Multiple roles for CD4+ T cells in anti‐tumor immune responses , 2008, Immunological reviews.

[102]  K. Tsuchiya,et al.  IL-7 Is Essential for the Development and the Persistence of Chronic Colitis1 , 2007, The Journal of Immunology.

[103]  C. Hackett Innate immune activation as a broad-spectrum biodefense strategy , 2003, Journal of Allergy and Clinical Immunology.

[104]  R. Bucala,et al.  Macrophage migration inhibitory factor , 2003, Critical care medicine.

[105]  Yuan Zhang,et al.  PPIB-regulated alternative splicing of cell cycle genes contributes to the regulation of cell proliferation. , 2022, American journal of translational research.