scholarly journals PLAC8 Correlates with Prognosis, Immune Infiltration, and T Cell Exhaustion in Breast Cancer

2021 ◽  
Author(s):  
Pan Liao ◽  
Ying Wang ◽  
Lixia Sun ◽  
Hongpeng Yue
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Prognostic Significance ◽  
Her2 Status ◽  
Gene Marker ◽  
T Cell Exhaustion ◽  
Cell Exhaustion ◽  
Immune Infiltration

Abstract Background: Lysosomal protein placenta-specific 8 (PLAC8) with abundant cysteine, also referred to as onzin, participates in numerous cancers, and its effect is greatly determined by the cellular and tumor microenvironment (TME). Ourstudy focused on investigating the prognostic significance of PLAC8 and examined the association between PLAC8, immune infiltration, and T cells function in multiple malignancies comprehensively, particularly in breast cancer (BRCA).Methods: PLAC8 expression in various malignancies was analyzed using TIMER. PrognoScan, Kaplan-Meier Plotter, and GEPIA2 were utilized to explore the significance of PLAC8 in prognostic prediction. Moreover, PLAC8 functions were systematically analyzed through cancerSEA. Additionally, TISIDB, TIMER, and GEPIA2 were also employed for analyzing the associations among PLAC8, immune infiltration, related gene marker sets, and clinical stages. Finally, PLAC8 and its co-expressed genes biological process and KEGG were analyzed. Results: PLAC8 expression decreased in most malignancies and was related to poor prognosis in BRCA. PLAC8 significantly affected the survival of BRCA with ER status – array, PR status – IHC, HER2 status – array, Intrinsic subtype, Grade, and Pietenpol subtype. Increased PLAC8 expression positively correlated with the increased immune infiltration levels within immune cells and many functional T cells (such as exhausted T cells). In BRCA cells, PLAC8 functional phenotypesshowed a negative correlation with invasion, metastasis, apoptosis, DNA damage, and DNA repair. Besides, PD-1, TIM-3, TIGIT, LAG3, and GZMB, critical genes of exhausted T cells, interacted with PLAC8. Further analysis indicated that PLAC8 was related to T cell activation, proliferation and adhesion of leukocytes,adaptive immune response, cell adhesion molecules (CAMs), cytotoxicity-mediated by natural killer cells, and the NF-kappa B signal transduction pathway.Conclusion:PLAC8 is a prognostic indicator in pan-cancers, especially BRCA. Elevated PLAC8 level could significantly enhance immune infiltration in CD4+ T cells, CD8+ T cells, and functional T cells. Additionally, PLAC8 was tightly associatedwith T cell exhaustion which possibly enhances the latterwithin BRCA. PLAC8 expression determination might help in prognosis, and modulation of PLAC8level within exhausted T cells, a novel approach for optimizing the therapeutic effect of immunotherapy on BRCA cases.

scholarly journals CXCL13 Correlates with Prognosis, Immune Infiltration, and T Cell Exhaustion in Ovarian Cancer

2021 ◽  
Author(s):  
Hailing Duan ◽  
Ying Lv ◽  
Pan Liao ◽  
Yiming Wang ◽  
Zhifang Zheng ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
T Cells ◽  
Cell Adhesion ◽  
T Cell ◽  
Immune Cells ◽  
Gene Marker ◽  
T Cell Exhaustion ◽  
Cell Exhaustion ◽  
Immune Infiltration ◽  
Prognosis Prediction

Abstract Background: CXCL13 is an important chemotactic factor closely related to the biology of cancer cells. The presence work focused on exploring the significance of CXCL13 in prognosis prediction and analyzing the associations of CXCL13 with T cell function and immune infiltration in various cancers, especially ovarian cancer (OV).Purpose: CXCL13 is associated with prognosis, immune infiltration, and T cell failure of ovarian cancer.Methods: The Oncomine, GEPIA2 and HPA databases were utilized for analyzing CXCL13 levels within diverse cancers. The significance of CXCL13 in prognosis prediction was explored through Kaplan-Meier Plotter, TCGAportal, and GEPIA2. Meanwhile, the associations of CXCL13 with clinical stage, gene marker sets, and immune infiltration were examined through TISIDB, GEPIA2, and TIMER databases. Besides, CXCL13 was screened to analyze the biological processes (BPs) and KEGGs enriched by co-expression genes. The miRWalk database was employed for analyzing the gene-miRNA interaction network of CXCL13 within OV.Results: CXCL13 expression decreased in many cancers, which predicted the dismal survival of OV. CXCL13 upregulation was in direct proportion to the increased immune infiltration degrees of many functional T cells (like exhausted T cells) and immune cells. Additionally, some critical genes of exhausted T cells, such as TIM-3, PD-1, LAG3, TIGIT, GZMB, and CXCL13, were closely associated with CXCL13. Moreover, CXCL13 was related to immune response regulatory signaling pathway, leukocyte cell-cell adhesion, cell adhesion molecules (CAMs), and hematopoietic cell lineage. Conclusion: CXCL13 can serve as a biomarker to predict cancer prognosis, particularly OV. CXCL13 upregulation remarkably elevates the immune infiltration degrees of numerous immune cells, like mast cells, CD8+ T cells, natural killer (NK) cells, and dendritic cells (DCs). Furthermore, CXCL13 is suggested to be closely related to exhausted T cells, which may be used as a candidate regulating factor for T cell exhaustion within OV. Detecting CXCL13 levels contributes to prognosis prediction and CXCL13 regulation within exhausted T cells, which provides a new approach to maximizing the anti-OV efficacy of immunotherapy.

scholarly journals miR-149-3p reverses CD8 + T-cell exhaustion by reducing inhibitory receptors and promoting cytokine secretion in breast cancer cells

Open Biology ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 190061 ◽  
Author(s):  
Meng Zhang ◽  
Dian Gao ◽  
Yanmei Shi ◽  
Yifan Wang ◽  
Rakesh Joshi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
T Cell ◽  
Cancer Cells ◽  
T Cell Activation ◽  
Immune Escape ◽  
T Cell Exhaustion ◽  
Inhibitory Receptors ◽  
Aberrant Expression ◽  
Cell Exhaustion

Blockade of inhibitory receptors (IRs) is one of the most effective immunotherapeutic approaches to treat cancer. Dysfunction of miRNAs is a major cause of aberrant expression of IRs and contributes to the immune escape of cancer cells. How miRNAs regulate immune checkpoint proteins in breast cancer remains largely unknown. In this study, downregulation of miRNAs was observed in PD-1-overexpressing CD8 + T cells using miRNA array analysis of mouse breast cancer homografts. The data reveal that miR-149-3p was predicted to bind the 3'UTRs of mRNAs encoding T-cell inhibitor receptors PD-1, TIM-3, BTLA and Foxp1. Treatment of CD8 + T cells with an miR-149-3p mimic reduced apoptosis, attenuated changes in mRNA markers of T-cell exhaustion and downregulated mRNAs encoding PD-1, TIM-3, BTLA and Foxp1. On the other hand, T-cell proliferation and secretion of effector cytokines indicative of increased T-cell activation (IL-2, TNF-α, IFN-γ) were upregulated after miR-149-3p mimic treatment. Moreover, the treatment with a miR-149-3p mimic promoted the capacity of CD8 + T cells to kill targeted 4T1 mouse breast tumour cells. Collectively, these data show that miR-149-3p can reverse CD8 + T-cell exhaustion and reveal it to be a potential antitumour immunotherapeutic agent in breast cancer.

scholarly journals Tim-3 co-stimulation promotes short-lived effector T cells, restricts memory precursors, and is dispensable for T cell exhaustion

2018 ◽  
Vol 115 (10) ◽  
pp. 2455-2460 ◽  
Author(s):  
Lyndsay Avery ◽  
Jessica Filderman ◽  
Andrea L. Szymczak-Workman ◽  
Lawrence P. Kane
Keyword(s):  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Chronic Infection ◽  
Cell Activation ◽  
Effector T Cells ◽  
Mtor Signaling ◽  
T Cell Exhaustion ◽  
Inhibitory Protein ◽  
Cell Exhaustion

Tim-3 is highly expressed on a subset of T cells during T cell exhaustion in settings of chronic viral infection and tumors. Using lymphocytic choriomeningitis virus (LCMV) Clone 13, a model for chronic infection, we found that Tim-3 was neither necessary nor sufficient for the development of T cell exhaustion. Nonetheless, expression of Tim-3 was sufficient to drive resistance to PD-L1 blockade therapy during chronic infection. Strikingly, expression of Tim-3 promoted the development of short-lived effector T cells, at the expense of memory precursor development, after acute LCMV infection. These effects were accompanied by increased Akt/mTOR signaling in T cells expressing endogenous or ectopic Tim-3. Conversely, Akt/mTOR signaling was reduced in effector T cells from Tim-3–deficient mice. Thus, Tim-3 is essential for optimal effector T cell responses, and may also contribute to exhaustion by restricting the development of long-lived memory T cells. Taken together, our results suggest that Tim-3 is actually more similar to costimulatory receptors that are up-regulated after T cell activation than to a dominant inhibitory protein like PD-1. These findings have significant implications for the development of anti–Tim-3 antibodies as therapeutic agents.

scholarly journals CD4+ T cells inhibit the neu-specific CD8+ T-cell exhaustion during the priming phase of immune responses against breast cancer

2010 ◽  
Vol 126 (2) ◽  
pp. 385-394 ◽  
Author(s):  
Maciej Kmieciak ◽  
Andrea Worschech ◽  
Hooman Nikizad ◽  
Madhu Gowda ◽  
Mehran Habibi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
T Cell ◽  
Immune Responses ◽  
Cd4 T Cells ◽  
Cd8 T Cell ◽  
T Cell Exhaustion ◽  
Cell Exhaustion ◽  
Priming Phase

scholarly journals Single cell multiomic analysis of T cell exhaustion in vitro

2019 ◽  
Author(s):  
Mirko Corselli ◽  
Suraj Saksena ◽  
Margaret Nakamoto ◽  
Woodrow E. Lomas ◽  
Ian Taylor ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
T Cell Activation ◽  
T Cell Exhaustion ◽  
Chronic Stimulation ◽  
Cell Exhaustion ◽  
Car T ◽  
The Impact

AbstractA key step in the clinical production of CAR-T cells is the expansion of engineered T cells. To generate enough cells for a therapeutic product, cells must be chronically stimulated, which raises the risk of inducing T-cell exhaustion and reducing therapeutic efficacy. As protocols for T-cell expansion are being developed to optimize CAR T cell yield, function and persistence, fundamental questions about the impact of in vitro manipulation on T-cell identity are important to answer. Namely: 1) what types of cells are generated during chronic stimulation? 2) how many unique cell states can be defined during chronic stimulation? We sought to answer these fundamental questions by performing single-cell multiomic analysis to simultaneously measure expression of 39 proteins and 399 genes in human T cells expanded in vitro. This approach allowed us to study – with unprecedented depth - how T cells change over the course of chronic stimulation. Comprehensive immunophenotypic and transcriptomic analysis at day 0 enabled a refined characterization of T-cell maturational states (from naïve to TEMRA cells) and the identification of a donor-specific subset of terminally differentiated T-cells that would have been otherwise overlooked using canonical cell classification schema. As expected, T-cell activation induced downregulation of naïve-associated markers and upregulation of effector molecules, proliferation regulators, co-inhibitory and co-stimulatory receptors. Our deep kinetic analysis further revealed clusters of proteins and genes identifying unique states of activation defined by markers temporarily expressed upon 3 days of stimulation (PD-1, CD69, LTA), markers constitutively expressed throughout chronic activation (CD25, GITR, LGALS1), and markers uniquely up-regulated upon 14 days of stimulation (CD39, ENTPD1, TNFDF10). Notably, different ratios of cells expressing activation or exhaustion markers were measured at each time point. These data indicate high heterogeneity and plasticity of chronically stimulated T cells in response to different kinetics of activation. In this study, we demonstrate the power of a single-cell multiomic approach to comprehensively characterize T cells and to precisely monitor changes in differentiation, activation and exhaustion signatures in response to different activation protocols.

scholarly journals Tim-3 co-stimulation promotes short-term effector T cells, restricts memory precursors and is dispensable for T cell exhaustion

2017 ◽  
Author(s):  
Lyndsay Avery ◽  
Andrea L. Szymczak-Workman ◽  
Lawrence P. Kane
Keyword(s):  
T Cells ◽  
T Cell ◽  
Viral Infection ◽  
T Cell Activation ◽  
Cell Activation ◽  
Effector T Cells ◽  
Chronic Viral Infection ◽  
T Cell Exhaustion ◽  
Inhibitory Protein ◽  
Cell Exhaustion

AbstractTim-3 is highly expressed on a subset of T cells during T cell exhaustion, in settings of chronic viral infection and tumors (1, 2). Using LCMV Clone-13, a model for chronic infection, we have found that Tim-3 is neither necessary nor sufficient for the development of T cell exhaustion. Nonetheless, expression of Tim-3 was sufficient to drive resistance to PD-L1 blockade therapy during chronic infection. Strikingly, expression of Tim-3 promoted development of short-term effector T cells, at the expense of memory precursor development, after acute LCMV infection. These effects were accompanied by increased Akt/mTOR signaling in T cells expressing endogenous or ectopic Tim-3. Conversely, Akt/mTOR signaling was reduced in effector T cells from Tim-3 deficient mice. Thus, Tim-3 is essential for optimal effector T cell responses, but may also contribute to exhaustion, by restricting development of long-lived memory T cells, including PD-1int “stem-like” exhausted T cells that expand during PD-1 pathway blockade. Taken together, our results suggest that Tim-3 is actually more similar to co-stimulatory receptors that are upregulated after T cell activation, rather than a dominant inhibitory protein like PD-1. These findings have significant implications for the development of anti-Tim-3 antibodies as therapeutic agents.SignificanceDuring a chronic viral infection, prolonged exposure to viral antigens leads to dysfunction or “exhaustion” of T cells specific to the virus, a condition also observed in T cells that infiltrate tumors. The exhausted state is associated with expression of specific cell-surface proteins, some of which may inhibit T cell activation. Expression of Tim-3 is associated with acquisition of T cell exhaustion, although it is also expressed transiently during acute infection. Here we provide evidence that a major function of Tim-3 is to enhance T cell activation, during either acute or chronic viral infection. However, Tim-3 is not required for development of exhaustion. Thus, we propose that Tim-3 would be better described as a stimulatory, rather than inhibitory, protein.

scholarly journals Lineage and Spatial Mapping of Glioblastoma-associated Immunity

2020 ◽  
Author(s):  
Vidhya M. Ravi ◽  
Nicolas Neidert ◽  
Paulina Will ◽  
Kevin Joseph ◽  
Julian P. Maier ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
In Silico ◽  
Myeloid Cells ◽  
Lymphoid Cells ◽  
List Type ◽  
T Cell Exhaustion ◽  
Cellular Interactions ◽  
Cell Exhaustion

AbstractThe diversity of molecular states and cellular plasticity of immune cells within the glioblastoma environment remain poorly investigated. Here, we performed scRNA-sequencing of the immune compartment, mapping potential cellular interactions that lead to the exhausted phenotype of T cells. We identified Interleukin 10 response during T cell activation leading to the exhausted state. By use of an in-silico model, we explored cell-cell interactions and identified a subset of myeloid cells defined by high expression of HMOX1 driving T cell exhaustion. We showed a spatial correlation between T cell exhaustion and mesenchymal-like gene expression, co-located with HMOX1 expressing myeloid cells. Using human neocortical sections with myeloid cell depletion, we confirmed the functional interaction of myeloid and lymphoid cells, leading to the exhausted state of T cells. A comprehensive understanding of cellular states and plasticity of lymphoid cells in GBM aids in providing successful immunotherapeutic approaches.HighlightsLineage tracking of T cells reveal IL10 driven exhaustion in glioblastomaIn-silico modeling of spatial- and scRNA-sequencing identified a subset of HMOX1+ myeloid cells releasing IL10.T cell exhaustion is spatially enriched in mesenchymal-like tumor regions.Human neocortical sections with autograft T cell stimulation confirmed IL10 dependent T cell exhaustion in mesenchymal-like tumors.Visual Abstract

scholarly journals Mutation of the CD28 Costimulatory Domain Confers Decreased CAR T Cell Exhaustion

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 966-966 ◽  
Author(s):  
Justin C. Boucher ◽  
Gongbo Li ◽  
Bishwas Shrestha ◽  
Maria Cabral ◽  
Dylan Morrissey ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
B Cell ◽  
T Cell Activation ◽  
Cell Activation ◽  
T Cell Exhaustion ◽  
Cell Exhaustion ◽  
Car T Cells ◽  
Car T Cell ◽  
Car T

Abstract The therapeutic promise of chimeric antigen receptor (CAR) T cells was realized when complete remission rates of 90% were reported after treating B cell acute lymphoblastic leukemia (B-ALL) with CD19-targeted CAR T cells. However, a major obstacle with continued clinical development of CAR T cells is the limited understanding of CAR T cell biology and its mechanisms of immunity. We and others have shown that CARs with a CD28 co-stimulatory domain drive high levels of T cell activation causing acute toxicities, but also lead to T cell exhaustion and shortened persistence. The CD28 domain includes 3 intracellular subdomains (YMNM, PRRP, and PYAP) that regulate signaling pathways post TCR-stimulation, but it is unknown how they modulate activation and/or exhaustion of CAR T cells. A detailed understanding of the mechanism of CD28-dependent exhaustion in CAR T cells will allow the design of a CAR less prone to exhaustion and reduce relapse rates. We hypothesized that by incorporating null mutations of the CD28 subdomains (YMNM, PRRP, or PYAP) we could optimize CAR T cell signaling and reduce exhaustion. In vitro, we found mutated CAR T cells with only a functional PYAP (mut06) subdomain secrete significantly less IFNγ (Fig1A), IL6, and TNFα after 24hr stimulation compared to non-mutated CD28 CAR T cells, but greater than the 1st generation m19z CAR. Also, cytoxicity was enhanced with the PYAP only CAR T cells compared to non-mutated CARs (Fig1B). When we examined the PYAP (mut06) only mutant in an immune competent mouse model we found similar B cell aplasia and CAR T cell persistence compared to non-mutated CD28 CAR T cells. Additionally, PYAP only CAR T cells injected into mice had decreased (82% to 62%) expression of PD1 in the BM. Using a pre-clinical immunocompetent mouse tumor model we found the PYAP only CAR T cell treated mice had a significant survival advantage compared to non-mutated CD28 CAR T cells, with 100% survival of mice given PAYP only CAR T cells compared to 50% survival of mice given non-mutated CAR T cells (Fig1C). We next sought to determine what role CAR T cell exhaustion was playing using a Rag knockout mouse system. CAR T cells were given to Rag-/- mice and 1 week later mice were challenged with tumor. Studies in Rag-/- mice also showed PYAP only CAR T cells were increased 35% in the BM and 92% in the spleen compared to non-mutated CD28 CAR T cells. We also found PYAP only CAR T cells had significantly less expression of PD1 compared to non-mutated CAR T cells (Fig1D). We then co-cultured CAR T cells with target cells expressing CD19 and PDL1 and found PYAP only CAR T cells had increased IFNγ (42%), TNFα (62%) and IL2 (73%) secretion compared to exhausted non-mutated CD28 CAR T cells. This shows that PYAP only CAR T cells are more resistant to exhaustion. To find a mechanistic explanation for this observation we examined CAR T cell signaling. Using Nur77, pAkt, and pmTOR to measure CAR signaling we found PYAP only CAR T cells had significantly reduced levels of Nur77 while still having higher expression then first generation CAR T cells. We then examined what affect the PYAP only CAR had on transcription factors. We found similar AP1 and NF-kB expression between PYAP only and non-mutated CD28 CAR T cells but a significant reduction of NFAT in the PYAP only mutants compared to non-mutated CD28 CAR T cells. This suggests reduced NFAT expression contributes to the PYAP only CAR's resistance to exhaustion. Finally, we made human CAR constructs of the PYAP only mutant. We found PYAP only human CAR T cells had increased cytoxicity and decreased exhaustion in vitro compared to non-mutated human CD28 CAR T cells. NFAT levels in human PYAP only CAR T cells were significantly reduced compared to non-mutated CAR T cells supporting our findings in mice. Our results demonstrate that CAR T cells with only a PYAP CD28 subdomain have better cytoxicity and decreased exhaustion compared to non-mutated CD28 CAR T cells. Our results suggest this is the result of decreased CAR and NFAT signaling. Additionally, we were able to validate these findings using human CAR constructs. This work allows for development of an enhanced 2nd and 3rd generation CAR T cell therapies for B cell malignancies by optimizing CAR T cell activation and persistence which may reduce relapse rates and severe toxicities. Figure 1 Figure 1. Disclosures Davila: Celyad: Consultancy, Membership on an entity's Board of Directors or advisory committees.

scholarly journals IMMU-34. LANDSCAPE OF GLIOBLASTOMA-ASSOCIATED IMMUNITY BY INTEGRATION OF scRNA-SEQ AND SPATIAL TRANSCRIPTOMICS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii112-ii112
Author(s):  
Vidhya Ravi ◽  
Nicolas Neidert ◽  
Kevin Joseph ◽  
Juergen Beck ◽  
Oliver Schnell ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Cell Activation ◽  
Myeloid Cells ◽  
Myeloid Cell ◽  
Lymphoid Cells ◽  
T Cell Exhaustion ◽  
Cellular Interactions ◽  
Cell Exhaustion

Abstract The diversity of molecular states and cellular plasticity of immune cells within the glioblastoma (GBM) environment remain poorly investigated. Here, we conduct deep transcriptional profiling of lymphoid and myeloid cell populations by scRNA-sequencing, map potential cellular interactions and cytokine responses that lead to the dysfunctional and exhausted phenotype of T cells. We identified Interleukin 10 (IL-10) response during T cell activation, which lead to a dysfunctional state of T cells. By the use of a novel method: The nearest functionally connected neighbor (NFCN), an in-silico model to explore cell-cell interaction, the dysfunctional/exhausted phenotype was found to be driven by subset of myeloid cells defined by high expression of HMOX1. By using spatial transcriptomic RNA-sequencing, we identified a correlation between T cell exhaustion and colocalized mesenchymal gene expression. We found that HMOX1 expressing myeloid cells occupying regions marked by T cell exhaustion. Using a human neocortical slice model with myeloid cell depletion we confirmed the functional interaction of myeloid and lymphoid cell leading to the dysfunctional state of T cells. A comprehensive understanding of cellular states and plasticity of lymphoid cells in GBM aids in providing successful immunotherapeutic approaches.

scholarly journals Correlation of MKI67 with prognosis, immune infiltration, and T cell exhaustion in hepatocellular carcinoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shi-yi Wu ◽  
Pan Liao ◽  
Lu-yu Yan ◽  
Qian-yi Zhao ◽  
Zhao-yu Xie ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Vital Role ◽  
Prediction Performance ◽  
Liver Carcinoma ◽  
T Cell Exhaustion ◽  
Cell Exhaustion ◽  
Immune Infiltration ◽  
Prognosis Prediction ◽  
Prognostic Prediction

Abstract Background MKI67 plays a vital role in the tumour microenvironment (TME) and congenital immunity. The present work focuses on exploring the prognosis prediction performance of MKI67 and its associations with T cell activity and immune infiltration within numerous cancers, especially hepatocellular liver carcinoma (LIHC). Methods Oncomine, GEPIA2, and HPA were adopted to analyse MKI67 levels in different types of cancers. The prognostic prediction performance of MKI67 was evaluated through the TCGA portal, GEPIA2, LOGpc, and Kaplan–Meier Plotter databases. The associations of MKI67 with related gene marker sets and immune infiltration were inspected through TISIDB, GEPIA2, and TIMER. We chose MKI67 to analyse biological processes (BPs) and KEGG pathways related to the coexpressed genes. Furthermore, the gene–miRNA interaction network for MKI67 in liver cancer was also examined based on the miRWalk database. Results MKI67 expression decreased in many cancers related to the dismal prognostic outcome of LIHC. We found that MKI67 significantly affected the prognosis of LIHC in terms of histology and grade. Increased MKI67 levels were directly proportional to the increased immune infiltration degrees of numerous immune cells and functional T cells, such as exhausted T cells. In addition, several critical genes related to exhausted T cells, including TIM-3, TIGIT, PD-1, LAG3, and CXCL13, were strongly related to MKI67. Further analyses showed that MKI67 was associated with adaptive immunity, cell adhesion molecules (CAMs), and chemokine/immune response signal transduction pathways. Conclusion MKI67 acts as a prognostic prediction biomarker in several cancers, particularly LIHC. Upregulation of MKI67 elevates the degree of immune infiltration of many immune cell subtypes, including functional T cells, CD4+ T cells, and CD8+ T cells. Furthermore, MKI67 shows a close correlation with T cell exhaustion, which plays a vital role in promoting T cell exhaustion within LIHC. Detection of the MKI67 level contributes to prognosis prediction and MKI67 modulation within exhausted T cells, thus providing a new method to optimize the efficacy of anti-LIHC immunotherapy.

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