We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Five-Gene Signature Predicts Survival from Renal Cell Carcinoma

By LabMedica International staff writers
Posted on 20 Mar 2019
Papillary renal cell carcinomas include type 1 lesions, which are characterized by small cells in single layers and scanty cytoplasm and type 2 lesions, which are distinguished by larger cells, pseudo-stratified nuclei, and voluminous eosinophilic cytoplasm.

Though the exact cause of papillary renal cell carcinoma is unknown, smoking, obesity, and genetic predisposition conditions such as hereditary leiomyomatosis and renal cell cancer may contribute to the development of this type of cancer. More...
It accounts for about 10% to 15% of all renal cell carcinomas.

Urologists at the Qilu Hospital of Shandong University (Jinan, China) and their associates investigated the gene expression changes in papillary renal cell carcinoma (pRCC) and screen several genes and associated pathways of pRCC progression. They downloaded the pRCC RNA sequencing (RNA-seq) data set from The Cancer Genome Atlas (TCGA). They identified the differentially expressed messenger RNA (mRNA) between cancer and normal tissues and performed annotation of differentially expressed mRNAs to figure out the functions and pathways they were enriched in. Then, they constructed a risk score that relied on 5-mRNAs.

Based on differentially expressed gene in high-risk cases, the investigators found five survival-related genes, CCNB2, IGF2BP3, KIF18A, PTTG1, and BUB1, that could distinguish 53 high-risk pRCC patients from 89 low-risk patients in a subsequent validation analysis. The study revealed the 5-mRNA expression profile and the potential function of a single mRNA as a prognostic target for papillary renal cell carcinoma.

The authors concluded that by performing a comprehensive analysis for differentially expressed mRNA profiles and corresponding clinical information, the study demonstrated that 5-mRNA signature was a potential diagnostic marker in pRCC, and was an independent prognostic factor in pRCC patients. This signature has a lot of potential prognostic and therapeutic implications for the pRCC patient management. The study was published on March 1, 2019, in the journal PLoS ONE.

Related Links:
Qilu Hospital of Shandong University


Gold Member
Hybrid Pipette
SWITCH
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Rapid Molecular Testing Device
FlashDetect Flash10
8-Channel Pipette
SAPPHIRE 20–300 µL
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Immunology

view channel
Image: Whole-genome sequencing enables broader detection of DNA repair defects to guide PARP inhibitor cancer therapy (Photo courtesy of Illumina)

Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment

Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more

Pathology

view channel
Image: AI models combined with DOCI can classify thyroid cancer subtypes (Photo courtesy of T. Vasse et al., doi 10.1117/1.BIOS.3.1.015001)

AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery

Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.