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Background: Immunotherapy has shown promise for bladder cancer (BC) treatment but is effective only in a subset of patients. Understanding the tumor microenvironment (TME) and its regulators, such as the expression of N6‐methyladenosine (m6A) regulators, may improve therapeutic outcomes. This study focuses on the role of IGF2BP2, an m6A reader, in modulating the BC TME. Methods: Transcriptomic and single‐cell RNA‐seq data from public databases were analyzed to identify BC subgroups and investigate IGF2BP2's role in the TME. Clustering and PCA identified key m6A regulators. NicheNet and SCENIC analyses were used to predict cell–cell interactions and transcriptional regulators, respectively. IGF2BP2's role in macrophage recruitment was validated via co‐culture experiments and RNA sequencing. Results: Unsupervised clustering identified BC subgroups with distinct TME characteristics, with IGF2BP2 emerging as a key regulator associated with poor prognosis and reduced response to immunotherapy. Single‐cell analysis revealed IGF2BP2's high expression in the GE‐9 epithelial subpopulation, characterized by immune evasion features and cytokine‐mediated macrophage recruitment. NicheNet analysis showed that GE‐9 cells interact with monocyte/macrophage populations through cytokine signaling. Co‐culture experiments confirmed IGF2BP2's role in recruiting macrophages, partially mediated by CCL2. Furthermore, IGF2BP2 expression was linked to immunosuppressive M2‐like and SPP1+ macrophages, contributing to an angiogenesis‐promoting and immunosuppressive TME. Conclusion: IGF2BP2 shapes the BC TME by modulating macrophage infiltration and polarization, leading to an immunosuppressive microenvironment that hinders immunotherapy. Targeting IGF2BP2 could enhance the efficacy of current therapies and improve patient outcomes. [ABSTRACT FROM AUTHOR]

Objective To analyze the infiltration abundance of macrophage M2 in breast cancer tissues and explore the correlation between VSIG4 and macrophage M2 and the potential mechanism of regulating the invasion and migration of breast cancer patients. Methods We downloaded the RNA-seq data of TCGA-BRCA and assessed the infiltration abundance of immune cells in the samples by CIBERSORT, and established a prognostic risk prediction model. Then, we analyzed the effect of macrophage M2 and VSIG4 on the prognosis of breast cancer patients. In addition, we analyzed the signaling pathway associated with VSIG4 by gene set enrichment analysis and predicted its upstream regulation of miRNA. Results The infiltration abundance of macrophage M2, age, PR status and pathological stage were involved in the establishment of risk prediction model, and the model had a good prediction performance (AUC=0.816). High infiltration of macrophage M2 (HR=1.35, P < 0.05) and high expression of VSIG4 (HR=1.4, P=0.039) suggested poor prognosis of breast cancer patients. VSIG4 could be regulated by upstream miR-29a-3p and significantly correlated with Toll-like receptor, cell adhesion, production and release of cytokine. Conclusion VSIG4 is significantly associated with breast cancer patients' prognosis and infiltration of macrophage M2, regulated by the upstream miR-29a-3p and promotes the invasion and migration of breast cancer cells. It can be used as a potential prognostic marker for breast cancer.

BackgroundCD8+ T cells, vital effectors pertaining to adaptive immunity, display close relationships to the immunization responses to kill tumor cells. Understanding the effect exerted by tumor infiltration CD8+ T cells in papillary renal cell carcinoma (papRCC) is critical for assessing the prognosis process and responses to immunization therapy in cases with this disease.Materials and ApproachesThe single-cell transcriptome data of papRCC were used for screening CD8+ T-cell-correlated differentially expressed genes to achieve the following investigations. On that basis, a prognosis gene signature associated with tumor infiltration CD8+ T cell was built and verified with The Cancer Genome Atlas data set. Risk scores were determined for papRCC cases and categorized as high- or low-risk groups. The prognosis significance for risk scores was assessed with multiple-variate Cox investigation and Kaplan–Meier survival curves. In addition, the possible capability exhibited by the genetic profiles of cases to assess the response to immunization therapy was further explored.ResultsSix hundred twenty-one cell death-inhibiting RNA genes were screened using single-cell RNA sequencing. A gene signature consisting of seven genes (LYAR, YBX1, PNRC1, TCF25, MYL12B, MINOS1, and LINC01420) was then identified, and this collective was considered to be an independent prognosis indicator that could strongly assess overall survival in papRCC. In addition, the data allowed papRCC cases to fall to cohorts at high and low risks, exhibiting a wide range of clinically related features as well as different CD8+ T-cell immunization infiltration and immunization therapy responses.ConclusionsOur work provides a possible explanation for the limited response of current immunization checkpoint-inhibiting elements for combating papRCC. Furthermore, the researchers built a novel genetic signature that was able to assess the prognosis and immunotherapeutic response of cases. This may also be considered as a promising therapeutic target for the disease.

Background: CD8+ T cells, vital effectors pertaining to adaptive immunity, display close relationships to the immunization responses to kill tumor cells. Understanding the effect exerted by tumor infiltration CD8+ T cells in papillary renal cell carcinoma (papRCC) is critical for assessing the prognosis process and responses to immunization therapy in cases with this disease. Materials and Approaches: The single-cell transcriptome data of papRCC were used for screening CD8+ T-cell-correlated differentially expressed genes to achieve the following investigations. On that basis, a prognosis gene signature associated with tumor infiltration CD8+ T cell was built and verified with The Cancer Genome Atlas data set. Risk scores were determined for papRCC cases and categorized as high- or low-risk groups. The prognosis significance for risk scores was assessed with multiple-variate Cox investigation and Kaplan–Meier survival curves. In addition, the possible capability exhibited by the genetic profiles of cases to assess the response to immunization therapy was further explored. Results: Six hundred twenty-one cell death-inhibiting RNA genes were screened using single-cell RNA sequencing. A gene signature consisting of seven genes (LYAR , YBX1 , PNRC1 , TCF25 , MYL12B , MINOS1 , and LINC01420) was then identified, and this collective was considered to be an independent prognosis indicator that could strongly assess overall survival in papRCC. In addition, the data allowed papRCC cases to fall to cohorts at high and low risks, exhibiting a wide range of clinically related features as well as different CD8+ T-cell immunization infiltration and immunization therapy responses. Conclusions: Our work provides a possible explanation for the limited response of current immunization checkpoint-inhibiting elements for combating papRCC. Furthermore, the researchers built a novel genetic signature that was able to assess the prognosis and immunotherapeutic response of cases. This may also be considered as a promising therapeutic target for the disease. [ABSTRACT FROM AUTHOR]