Prognostic and predictive biomarkers for response to neoadjuvant chemoradiation in esophageal adenocarcinoma
Posted on 2022-11-15 - 16:39
Abstract Background Esophageal adenocarcinoma is a lethal disease. For locally advanced patients, neoadjuvant chemoradiotherapy followed by surgery is the standard of care. Risk stratification relies heavily on clinicopathologic features, particularly pathologic response, which is inadequate, therefore establishing the need for new and reliable biomarkers for risk stratification. Methods Thirty four patients with locally advanced esophageal adenocarcinoma were analyzed, of which 21 received a CROSS regimen with carboplatin, paclitaxel, and radiation. Capture-based targeted sequencing was performed on the paired baseline and post-treatment samples. Differentially mutated gene analysis between responders and non-responders of treatment was performed to determine predictors of response. A univariate Cox proportional hazard regression was used to examine associations between gene mutation status and overall survival. Results A 3-gene signature, based on mutations in EPHA5, BCL6, and ERBB2, was identified that robustly predicts response to the CROSS regimen. For this model, sensitivity was 84.6% and specificity was 100%. Independently, a 9 gene signature was created using APC, MAP3K6, ETS1, CSF3R, PDGFRB, GATA2, ARID1A, PML, and FGF6, which significantly stratifies patients into risk categories, prognosticating for improved relapse-free (p = 4.73E-03) and overall survival (p = 3.325E-06). The sensitivity for this model was 73.33% and the specificity was 94.74%. Conclusion We have identified a 3-gene signature (EPHA5, BCL6, and ERBB2) that is predictive of response to neoadjuvant chemoradiotherapy and a separate prognostic 9-gene classifier that predicts survival outcomes. These panels provide significant potential for personalized management of locally advanced esophageal cancer.
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Matani, Hirsch; Sahu, Divya; Paskewicz, Michael; Gorbunova, Anastasia; Omstead, Ashten N.; Wegner, Rodney; et al. (2022). Prognostic and predictive biomarkers for response to neoadjuvant chemoradiation in esophageal adenocarcinoma. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.6299925.v1
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AUTHORS (11)
HM
Hirsch Matani
DS
Divya Sahu
MP
Michael Paskewicz
AG
Anastasia Gorbunova
AO
Ashten N. Omstead
RW
Rodney Wegner
GF
Gene G. Finley
BJ
Blair A. Jobe
RK
Ronan J. Kelly
AZ
Ali H. Zaidi
AG
Ajay Goel