Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer

Abstract

Background:The poor outcome of patients with esophageal squamous cell carcinoma (ESCC) highlights the importance of the identification of novel effective prognostic biomarkers. We aimed to identify a clinically applicable prognostic immunohistochemistry (IHC) panel for ESCC. Methods: An integrated analysis was performed to screen and establish a prognostic panel using exome sequencing profile from 81 pairs of ESCC samples and RNA expression microarray data from 119 ESCC subjects. Two independent ESCC cohorts were recruited as training and validation groups to test the prognostic value. Results: Three genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P < .001). Among them, ANO1 and MMP3 were reserved for the construction of the prognostic panel due to their significant association with the prognosis of ESCC patients (P = .015 and P < .001).Patients with both ANO1+ and MMP3+ had a poorer prognosis than that with ANO1−/MMP3+, ANO1+/MMP3−, or ANO1−/MMP3 − in both the training set and validation set (P < .001). Receiver operating characteristic analysis showed that the combination of IHC panel and eighth American Joint Commission on Cancer staging yielded a better prognostic predictive efficacy compared with the two indexes alone (P < .001, area under curve: 0.752). Finally, a nomogram was created by 576 | YU et al.

Quantitative immunohistochemistry (IHC) analysis of biomarker combinations for human esophageal squamous cell carcinoma

“…Combination of these biomarkers as a panel may be a useful tool for increasing predicted accuracy. So IHC panel might be great helpful for accurate prognostication, development of better surgical care and chemoradiotherapeutic regimes, and identification of novel therapeutics are key areas to address of ESCC (36,37). On the other hand, the IHC panel could be easily adopted by existing pathology service to determine the status for these biomarkers.…”

Three Survival‐Related Genes of Esophageal Squamous Cell Carcinoma Identified by Weighted Gene Coexpression Network Analysis

“…e risk scores were verified as prognostic factors for EC OS and a classifier for the evaluation of groups with different risks. Since the underlying biological mechanisms of most ESCC biomarkers remains unclear, screening through candidate or pathway-based strategies rather than systematic screening results in limited prediction effect [34].…”