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Background: Kinectin 1 () is a membrane protein involved in intracellular organelle motility. However, the role of in human pan-cancer lacks systematic analysis and evaluation. The aim of this study is to evaluate the expression profile and clinical value in human cancers by performing a pan-cancer analysis of .
Methods: The expression of and its correlation with cancer-associated fibroblasts (CAFs) infiltration were analyzed in TIMER2.0. The survival analysis, pathological stage correlation, and co-expression gene correlation analysis of were performed on GEPIA2.0. We investigated the protein expression level of in tumors through UALCAN. The cBioportal platform was used to analyze the variation frequency and type of . We used STRING database for protein-protein interaction (PPI) network analysis. Cell Counting Kit-8 (CCK8) and colony formation and transwell assay were performed to investigate the proliferation and migration abilities of head and neck squamous cell carcinoma (HNSC) cells with knockdown.
Results: was differentially expressed in 12 kinds of cancer tissues compared with correspondent normal tissues. Meanwhile, the high expression of was negatively correlated with the prognosis of HNSC, adrenocortical carcinoma (ACC), and liver hepatocellular carcinoma (LIHC). Further analysis suggested that patients with mutations had better overall survival (OS) and progression-free survival than those without mutations among several cancers. Moreover, the level of CAFs and expression were significantly correlated in 12 types of cancer. Mechanically, co-expression analysis showed the positive association between and KTN1 antisense RNA 1 (-), MNAT1 component of CDK activating kinase (), N-alpha-acetyltransferase 30 (), protein phosphatase 2 regulatory subunit B'epsilon (), and proteasome 26S subunit (), which are mainly involved in the protein kinase AMP-activated catalytic subunit alpha 1 () signaling pathway that regulates the progression of tumors.
Conclusions: The functional experiment revealed that promotes the proliferation and metastasis of HNSC cells. The pan-cancer analysis of revealed its significance in different cancers, which provides a new marker for the diagnosis and prognosis of cancers.
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http://dx.doi.org/10.21037/tcr-24-752 | DOI Listing |
Biochem Biophys Rep
June 2025
The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
Background: SLC16A3, a highly expressed H + -coupled symporter, facilitates lactate transport via monocarboxylate transporters (MCTs), contributing to acidosis. Although SLC16A3 has been implicated in tumor development, its role in tumor immunity remains unclear.
Methods: A pan-cancer analysis was conducted using datasets from The Cancer Genome Atlas, Cancer Cell Line Encyclopedia, and Genotype-Tissue Expression projects.
Front Cell Dev Biol
August 2025
Department of Hepatobiliary Surgery, The First Hospital of Putian City, Chengxiang, Fujian, China.
Background: USP37, a versatile deubiquitinase, plays a pivotal role in numerous cellular functions. Although its involvement in cancer development is well-established, the comprehensive pan-cancer analysis of USP37 remains relatively uncharted.
Methods: RNA sequencing data from both normal and cancerous tissues were retrieved from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases.
Cancer Pathog Ther
September 2025
Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad 211004, India.
Background: Colorectal cancer (CRC) is a complex, heterogeneous disease characterized by frequent relapses and metastasis. Previous studies have reported that the invasion and progression of CRC in several cases can be controlled by targeting fusion genes. This study aimed to screen for potent fusion transcripts as potential molecular biomarkers and therapeutic targets for metastatic CRC (mCRC) using an approach.
View Article and Find Full Text PDFNAR Genom Bioinform
September 2025
School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
The translatability of patient-derived xenograft (PDX)-generated clinical data into patient-specific outcomes for therapeutic guidance is limited by the challenges in generalizability of models across patients, treatments, and cancer types. Previously, machine learning (ML) models have been developed for the two most abundant cancer types, i.e.
View Article and Find Full Text PDFMol Cell Probes
September 2025
Department of Urology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, 453100, China. Electronic address:
Background: Interleukin-1 receptor-like 1 (IL1RL1, also known as ST2) plays a critical role in immune regulation. Pan-cancer analysis has revealed that IL1RL1 is closely associated with cellular immune functions; however, its role in clear cell renal cell carcinoma (ccRCC) and the tumor microenvironment (TME) remains poorly defined.
Methods: We analyzed IL1RL1 expression patterns using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.