Clinical predictive value of naïve and memory T cells in advanced NSCLC

Zhang, Guan; Liu, Aqing; Yang, Yanjie; Xia, Ying; Li, Wentao; Liu, Yunhe; Zhang, Jing; Cui, Qian; Wang, Dong; Liu, Xu; Guo, Yongtie; Chen, Huayu; Yu, Jianchun

doi:10.3389/fimmu.2022.996348

Cited by 18 publications

(12 citation statements)

References 71 publications

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“…24 These cells, which are specific for many viral and self-tumor antigens, were identified in a subpopulation of T cells known as naive T cells, which had the following characteristics: CD27 + , CD45RO − , CCR7 + , CD45RA + , CD62L + , CD28 + , and IL-7R + . It has been revealed that high TSCM infiltration was associated with good prognosis in advanced NSCLC patients receiving anti-PD-1 immunotherapy, 25 indicating the significant prognostic value of TSCM in human cancer. However, their role in CRC remains poorly understood.…”

Section: Discussionmentioning

confidence: 99%

Total T Cell Density and Expression of T Memory Stem Cell Markers are Associated with Better Prognosis in Colon Cancer

Ding¹,

Wang²,

Huang³

et al. 2023

IJGM

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Background: Immune checkpoint inhibitors have achieved limited clinical effectiveness in colon cancer. Stem memory T cells (TSCMs) and in-situ cytotoxic T cells are dominant contributors to host immunity. Currently, data on the correlation between TSCM and T cell abundance and clinicopathological characteristics in colon cancer are largely unavailable. Methods: In-situ cytotoxic T cells are identified based on the quantification of CD3 + and CD8 + markers using immunohistochemistry (IHC) in the core of the tumor and the invasive margin of the tumor. The expression of representative markers of TSCMs, CD27 and CD95, was assayed using IHC in colon cancer tissues. Correlations between the levels of each marker and the clinicopathological characteristics as well as prognosis were evaluated. Results: High densities of CD3 + and CD8 + T cells correlated with stage I-II tumors, whereas a lower infiltration of cytotoxic T cells correlated with advanced-stage tumors. CD27 and CD95 were both expressed in the membrane of T cells present in the tumor stroma and their levels showed a negative correlation with the TNM stage. CD3, CD8, and CD27 were expressed at the same locations simultaneously, indicating their coordinated action against cancer. In addition, cytotoxic T cell densities and CD27 and CD95 expression remained independent prognostic factors for overall survival. Conclusion:In-situ cytotoxic T cells and TSCMs play important roles in colon cancer development. TSCMs marker CD27 and CD95 were both indicators of survival in patients with colon cancer. Thus, it is believed that TSCMs represent a desirable population for future use in combination immunotherapy.

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Section: Discussionmentioning

confidence: 99%

Total T Cell Density and Expression of T Memory Stem Cell Markers are Associated with Better Prognosis in Colon Cancer

Ding¹,

Wang²,

Huang³

et al. 2023

IJGM

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“…The representative clinicopathology images, obtained from the TCGA data, shown for each of the three cluster subtypes in Figure S3 B, revealed that immune cell infiltration was higher in the tumor nests of cluster B patients than in the other two clusters. Increased CD4 + and CD8 + T cell infiltration has previously been reported to be correlated with better prognosis [ 30 , 31 ], which may explain why cluster B had the longest OS among the three clusters. GSVA exhibited inter-cluster distinction in the functional enrichment pathways (Figure S3 A).…”

Section: Resultsmentioning

confidence: 99%

A cuproptosis score model and prognostic score model can evaluate clinical characteristics and immune microenvironment in NSCLC

Tang,

Wang,

et al. 2024

Cancer Cell Int

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Background Cuproptosis-related genes (CRGs) are associated with lung adenocarcinoma. However, the links between CRGs and non-small-cell lung cancer (NSCLC) are not clear. In this study, we aimed to develop two cuproptosis models and investigate their correlation with NSCLC in terms of clinical features and tumor microenvironment. Methods CRG expression profiles and clinical data from NSCLC and normal tissues was obtained from GEO (GSE42127) and TCGA datasets. Molecular clusters were classified into three patterns based on CRGs and cuproptosis cluster-related specific differentially expressed genes (CRDEGs). Then, two clinical models were established. First, a prognostic score model based on CRDEGs was established using univariate/multivariate Cox analysis. Then, through principal component analysis, a cuproptosis score model was established based on prognosis-related genes acquired via univariate analysis of CRDEGs. NSCLC patients were divided into high/low risk groups. Results Eighteen CRGs were acquired, all upregulated in tumor tissues, 15 of which significantly (P < 0.05). Among the three CRG clusters, cluster B had the best prognosis. In the CRDEG clusters, cluster C had the best survival. In the prognostic score model, the high-risk group had worse prognosis, higher tumor mutation load, and lower immune infiltration while in the cuproptosis score model, a high score represented better survival, lower tumor mutation load, and high-level immune infiltration. Conclusions The cuproptosis score model and prognostic score model may be associated with NSCLC prognosis and immune microenvironment. These novel findings on the progression and immune landscape of NSCLC may facilitate the provision of more personalized immunotherapy interventions for NSCLC patients.

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“…Several clinical and preclinical studies indicate that memory cells could be more important in cancer curative immunity [57]. A recently published study showed that an insufficient number of central memory T cells in NSCLC cannot induce an adequate antitumor immune response and kill tumor cells, which may partially explain the development of refractory tumors [58].…”

Section: Discussionmentioning

confidence: 99%

Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)

Šutić,

Dmitrović,

Jakovčević

et al. 2024

Cancers

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Squamous cell lung carcinoma (SqCLC) is associated with high mortality and limited treatment options. Identification of therapeutic targets and prognostic biomarkers is still lacking. This research aims to analyze the transcriptomic profile of SqCLC samples and identify the key genes associated with tumorigenesis, overall survival (OS), and a profile of the tumor-infiltrating immune cells. Differential gene expression analysis, pathway enrichment analysis, and Gene Ontology analysis on RNA-seq data obtained from FFPE tumor samples (N = 23) and healthy tissues (N = 3) were performed (experimental cohort). Validation of the results was conducted on publicly available gene expression data using TCGA LUSC (N = 225) and GTEx healthy donors’ cohorts (N = 288). We identified 1133 upregulated and 644 downregulated genes, common for both cohorts. The most prominent upregulated genes were involved in cell cycle and proliferation regulation pathways (MAGEA9B, MAGED4, KRT, MMT11/13), while downregulated genes predominately belonged to immune-related pathways (DEFA1B, DEFA1, DEFA3). Results of the survival analysis, conducted on the validation cohort and commonly deregulated genes, indicated that overexpression of HOXC4 (p < 0.001), LLGL1 (p = 0.0015), and SLC4A3 (p = 0.0034) is associated with worse OS in early-stage SqCLC patients. In contrast, overexpression of GSTZ1 (p = 0.0029) and LILRA5 (p = 0.0086) was protective, i.e., associated with better OS. By applying a single-sample gene-set enrichment analysis (ssGSEA), we identified four distinct immune subtypes. Immune cell distribution suggests that the memory T cells (central and effector) and follicular helper T cells could serve as important stratification parameters.

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Clinical predictive value of naïve and memory T cells in advanced NSCLC

Cited by 18 publications

References 71 publications

Total T Cell Density and Expression of T Memory Stem Cell Markers are Associated with Better Prognosis in Colon Cancer

Total T Cell Density and Expression of T Memory Stem Cell Markers are Associated with Better Prognosis in Colon Cancer

A cuproptosis score model and prognostic score model can evaluate clinical characteristics and immune microenvironment in NSCLC

Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)

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