Early Detection Research Network

SERINC2

Aliases:
This biomarker is also known as:
  • FKSG84,
  • tumor differentially expressed 2-like,
  • TDE2,
  • PRO0899,
  • SERINC2,
  • TDE2L,
  • serine incorporator 2,

Description…

serine incorporator 2

Datasets

There are no datasets associated with this biomarker.

Attributes
QA State: Curated
Type: Gene
HGNC Name: SERINC2

The following organs have data associated with this biomarker…

Attributes

Phase: One
QA State: Under Review

Overview

No additiona prostate data available.

Performance Comment

19 common probe sets (15 unique genes) were used to develop a PAM-based classifier, which had an average accuracy of 87% when it was tested on 47 independent tumor-adjacent stroma samples. The 15 genes represented in the classifier are: GADD45B, CDKN1A, NLRP1, ERBB3, FMO5, KIAA0746///SERINC2, AMFR, DPP4, PGC, YWHAE, EHF, TF, TNFSF10, EIF5A, TGM4. This is the first general tumor microenvironment-based prognostic classifier. Tumor-adjacent prostate cancer stroma contains numerous changes in gene expression at the time of diagnosis that correlate with the chance of relapse following prostatectomy. These results indicate that the prostate cancer microenvironment exhibits reproducible changes useful for predicting outcomes for patients.

This biomarker is currently being annotated or is under review. You must be logged in or do not have permission to view any additional information. Contact Heather Kincaid at heather.kincaid@jpl.nasa.gov if you should have access to this biomarker.

No associated publications found.