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Cisplatin‐based chemotherapy is considered the primary treatment option for patients with advanced bladder cancer (BCa). However, the objective response rate to chemotherapy is often unsatisfactory, leading to a poor 5‐year survival rate. Furthermore, current strategies for evaluating chemotherapy response and prognosis are limited and inefficient. In this study, we aimed to address these challenges by establishing a chemotherapy response type gene (CRTG) signature consisting of 9 genes and verified the prognostic value of this signature using TCGA and GEO BCa cohorts. The risk scores based on the CRTG signature were found to be associated with advanced clinicopathological status and demonstrated favorable predictive power for chemotherapy response in the TCGA cohort. Meanwhile, tumors with high risk scores exhibited a tendency toward a "cold tumor" phenotype. These tumors showed a low abundance of T cells, CD8+ T cells and cytotoxic lymphocytes, along with a high abundance of cancer‐associated fibroblasts. Moreover, they displayed higher mRNA levels of these immune checkpoints: CD200, CD276, CD44, NRP1, PDCD1LG2 (PD‐L2), and TNFSF9. Furthermore, we developed a nomogram that integrated the CRTG signature with clinicopathologic risk factors. This nomogram proved to be a more effective tool for predicting the prognosis of BCa patients. Additionally, we identified Rac family small GTPase 3 (RAC3) as a biomarker in our model. RAC3 was found to be overexpressed in chemoresistant BCa tissues and enhance the chemotherapeutic resistance of BCa cells in vitro and in vivo by regulating the PAK1‐ERK1/2 pathway. In conclusion, our study presents a novel CRTG model for predicting chemotherapy response and prognosis in BCa. We also highlight the potential of combining chemotherapy with immunotherapy as a promising strategy for chemoresistant BCa and that RAC3 might be a latent target for therapeutic intervention. [ABSTRACT FROM AUTHOR]

Located in the southwest of Jiangxi Province, Dayu County has the most abundant tungsten resources in China. In this paper, 2969 agricultural soil samples were collected downstream of the tungsten mining area in Dayu, and all samples were tested for the contents of potentially toxic elements (PTEs) such as Cd, Pb, Zn, Cr, Cu, Ni, Hg, as well as the mining-related elements W, Sn, Mo and pH. In addition, 135 soil samples were measured for chemical morphology of Cd. The results show that the distribution patterns of Cd, Pb, Zn, Cu and W, Sn, Mo are relatively consistent, which are considered to be affected by upstream mining activities. Hg is possibly overlaying the effects of human production and living activities. Cr and Ni are considered as a natural source. From the perspective of total concentration, the ecological risk of PTEs in the study area was low, with over 80% of the samples being evaluated as safe. However, based on chemical fraction of Cd, more than 75% of the samples were assessed as moderately or severely contaminated. The serious acidification of soil in the study area is the main reason for the increase activity of Cd and its ecological risk. [ABSTRACT FROM AUTHOR]

Characterization of the subcellular distribution of RNA is essential for understanding the molecular basis of biological processes. Here, the subcellular nanopore direct RNA‐sequencing (DRS) of four lung cancer cell lines (A549, H1975, H358, and HCC4006) is performed, coupled with a computational pipeline, Low‐abundance Aware Full‐length Isoform clusTEr (LAFITE), to comprehensively analyze the full‐length cytoplasmic and nuclear transcriptome. Using additional DRS and orthogonal data sets, it is shown that LAFITE outperforms current methods for detecting full‐length transcripts, particularly for low‐abundance isoforms that are usually overlooked due to poor read coverage. Experimental validation of six novel isoforms exclusively identified by LAFITE further confirms the reliability of this pipeline. By applying LAFITE to subcellular DRS data, the complexity of the nuclear transcriptome is revealed in terms of isoform diversity, 3'‐UTR usage, m6A modification patterns, and intron retention. Overall, LAFITE provides enhanced full‐length isoform identification and enables a high‐resolution view of the RNA landscape at the isoform level. [ABSTRACT FROM AUTHOR]