Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Kidney renal clear cell carcinoma (KIRC), the most common type of renal cell carcinoma, is an immunobiologically and metabolically distinct tumor. Its clinical management is closely related to the tumor microenvironment (TME). Identifying its potential markers is important for improving prognosis. Therefore, in this study, we successfully constructed a prognostic model of glutathione metabolism-related molecules and screened for GGTLC1 prognostic molecules, while immunohistochemical analysis of the online database HPA and hospital patient specimens showed that GGTLC1 was highly expressed in paracancerous tissues. Taken together, the results of this study suggest that GGTLC1 is a potential prognostic biomarker associated with KIRC. Chinese Clinical Trial Registry identifier: LSKY: 2022-112-01.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364595PMC
http://dx.doi.org/10.1155/ijog/7524935DOI Listing

Publication Analysis

Top Keywords

cell carcinoma
12
ggtlc1 prognostic
8
prognostic biomarker
8
renal clear
8
clear cell
8
ggtlc1
4
biomarker renal
4
carcinoma kidney
4
kidney renal
4
carcinoma kirc
4

Similar Publications

Background: C-C motif chemokine ligand 3 (CCL3) is a crucial chemokine that plays a fundamental role in the immune microenvironment and is closely linked to the development of various cancers. Despite its importance, there is limited research regarding the expression and function of CCL3 in nasopharyngeal carcinoma (NPC). Therefore, this study seeks to examine the expression of CCL3 and assess its clinical significance in NPC using bioinformatics analysis and experiments.

View Article and Find Full Text PDF

FTOregulated mA modification of primiR139 represses papillary thyroid carcinoma metastasis.

Zhong Nan Da Xue Xue Bao Yi Xue Ban

May 2025

Department of Information Network Center, Third Xiangya Hospital, Central South University, Changsha 410013, China.

Objectives: Increasing detection of low-risk papillary thyroid carcinoma (PTC) is associated with overdiagnosis and overtreatment. N6-methyladenosine (mA)-mediated microRNA (miRNA) dysregulation plays a critical role in tumor metastasis and progression. However, the functional role of mA-miRNAs in PTC remains unclear.

View Article and Find Full Text PDF

Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.

View Article and Find Full Text PDF

Background: Cancer of unknown primary (CUP) is a challenging malignancy characterized by metastatic tumors with an unidentified primary site, even after extensive pathological and radiographic evaluation. Recent advancements in gene expression profiling and comprehensive genomic profiling (CGP) using next-generation sequencing (NGS) have enabled the identification of potential tissue origins, thereby facilitating personalized treatment strategies. Although most cases of CUP present as adenocarcinomas or poorly differentiated tumors, the treatment remains largely empirical, with limited success from molecularly tailored therapies.

View Article and Find Full Text PDF

Objectives: To analyze the differences in the prognosis of gastric signet ring cell carcinoma (SRCC) among different races using the US Surveillance Epidemiology and End Results (SEER) database and The Cancer Genome Atlas (TCGA) database.

Methods: We analyzed the data of patients with gastric SRCC from the SEER database from 2000 to 2020, and divided the patients into cohorts of whites, blacks, Asians or Pacific Islanders, American Indians/Alaska Natives according to their race. The prognosis and treatment of the cohorts were evaluated using baseline demographic analysis, Kamplan-Meier survival curve, and nomogram analysis.

View Article and Find Full Text PDF