Integrating transcriptomics and scPagwas analysis predicts naïve CD4 T cell-related gene DRAM2 as a potential biomarker and therapeutic target for colorectal cancer DOI Creative Commons
Rui Feng, Xiaofang Li,

Benhua Li

и другие.

BMC Cancer, Год журнала: 2025, Номер 25(1)

Опубликована: Фев. 21, 2025

The interaction between T cells, particularly naïve CD4 cells (CD4Tn), and colorectal cancer (CRC) is highly complex. CD4Tn play a crucial role in modulating immune responses within the tumor microenvironment, yet precise mechanisms by which they influence progression remain elusive. This study aims to explore relationship CRC CD4Tn, identify biomarkers therapeutic targets, focus on of shaping environment CRC. Single-cell transcriptomics, alongside scPagwas algorithm, were employed pivotal cell subsets involved progression. Bulk transcriptomic data further analyzed using deconvolution algorithms elucidate roles these key subsets. abundance (CD4Tn) was specifically assessed gauge patient immunotherapy, alterations correlations with genetic mutations. Key genes linked identified weighted gene co-expression network analysis Pearson correlation scores. SMR algorithm subsequently used for validation, experimental verification following. Through single-cell transcriptomics confirmed as critical type High infiltration patients correlated poorer prognosis suboptimal immunotherapy. suggested potential causal link DRAM2 expression Experimental knockdown significantly inhibited growth. gene, associated appears advancement may represent promising target treatment.

Язык: Английский

Integrating transcriptomics and scPagwas analysis predicts naïve CD4 T cell-related gene DRAM2 as a potential biomarker and therapeutic target for colorectal cancer DOI Creative Commons
Rui Feng, Xiaofang Li,

Benhua Li

и другие.

BMC Cancer, Год журнала: 2025, Номер 25(1)

Опубликована: Фев. 21, 2025

The interaction between T cells, particularly naïve CD4 cells (CD4Tn), and colorectal cancer (CRC) is highly complex. CD4Tn play a crucial role in modulating immune responses within the tumor microenvironment, yet precise mechanisms by which they influence progression remain elusive. This study aims to explore relationship CRC CD4Tn, identify biomarkers therapeutic targets, focus on of shaping environment CRC. Single-cell transcriptomics, alongside scPagwas algorithm, were employed pivotal cell subsets involved progression. Bulk transcriptomic data further analyzed using deconvolution algorithms elucidate roles these key subsets. abundance (CD4Tn) was specifically assessed gauge patient immunotherapy, alterations correlations with genetic mutations. Key genes linked identified weighted gene co-expression network analysis Pearson correlation scores. SMR algorithm subsequently used for validation, experimental verification following. Through single-cell transcriptomics confirmed as critical type High infiltration patients correlated poorer prognosis suboptimal immunotherapy. suggested potential causal link DRAM2 expression Experimental knockdown significantly inhibited growth. gene, associated appears advancement may represent promising target treatment.

Язык: Английский

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