2024 World Conference on Lung Cancer (WCLC) - Posters-P1.03A.01 Identification of Disulfidptosis in ESCC Based on Single-Cell and Bulk RNA-seq Data to Predict Prognosis and Treatment Response

P1.03A.01 Identification of Disulfidptosis in ESCC Based on Single-Cell and Bulk RNA-seq Data to Predict Prognosis and Treatment Response

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The study focuses on identifying disulfidptosis in esophageal squamous cell carcinoma (ESCC) through single-cell and bulk RNA sequencing, with the goal of predicting patient prognosis and optimizing treatments. Disulfidptosis is a recently identified phenomenon where excess cystine in cells leads to disulfide stress, offering potential as a targetable metabolic vulnerability in cancers.<br /><br />Key findings of the research include the identification of two distinct disulfidptosis expression patterns in ESCC, which are linked to significant differences in overall survival (OS) rates. A prognostic signature was developed to stratify patients into high and low-risk categories based on their prognostic scores; patients with higher scores typically had worse outcomes. This signature was validated as an independent influence factor via univariate and multivariate Cox regression analyses and was confirmed through independent validation sets.<br /><br />The study also discovered variations in immune cell infiltration and signaling pathways between the two subgroups, with implications for immunotherapy treatments. Notably, the prognostic model demonstrated predictive power for immunotherapy efficacy. Further, it was observed that the EGFR inhibitor had a stronger inhibition effect on the low-risk group, suggesting its potential as a therapeutic option.<br /><br />The research calls for more patient data to verify the utility of the prognostic signature and the accuracy of immunotherapy predictions. Additionally, further prospective and basic studies are needed to refine the study’s details.<br /><br />This study, conducted by researchers from the Department of Thoracic Surgery at Fujian Medical University Union Hospital in China, provides new theoretical support for making informed clinical decisions regarding ESCC, promoting the development of tailored therapeutic strategies based on individual prognostic profiles.

Asset Subtitle

Maohui Chen

Meta Tag

Speaker Maohui Chen

Topic Tumor Biology – Translational Biology

Keywords

disulfidptosis

esophageal squamous cell carcinoma

single-cell RNA sequencing

bulk RNA sequencing

prognostic signature

immune cell infiltration

immunotherapy

EGFR inhibitor

prognostic scores

Fujian Medical University