Abstract

Ferroptosis is associated with the prognosis and therapeutic responses of patients with various cancers. LncRNAs are reported to exhibit antitumor or oncogenic functions. Currently, few studies have assessed the combined effects of ferroptosis and lncRNAs on the prognosis and therapy of stomach cancer. In this study, transcriptomic and clinical data were downloaded from TCGA database, and ferroptosis-related genes were obtained from the FerrDb database. Through correlation analysis, Cox analysis, and the Lasso algorithm, 10 prognostic ferroptosis-related lncRNAs (AC009299.2, AC012020.1, AC092723.2, AC093642.1, AC243829.4, AL121748.1, FLNB-AS1, LINC01614, LINC02485, LINC02728) were screened to construct a prognostic model, which was verified in two test cohorts. Risk scores for patients with stomach cancer were calculated, and patients were divided into two risk groups. The low-risk group, based on the median value, had a longer overall survival time in the KM curve, and a lower proportion of dead patients in the survival distribution curve. Potential mechanisms and possible functions were revealed using GSEA and the ceRNA network. By integrating clinical information, the association between lncRNAs and clinical features was analyzed and several features affecting prognosis were identified. Then, a nomogram was developed to predict survival rates, and its good predictive performance was indicated by a relatively high C-index (0.67118161) and a good match in calibration curves. Next, the association between these lncRNAs and therapy was explored. Patients in the low-risk group had an immune-activating environment, higher immune scores, higher TMB, lower TIDE scores, and higher expression of immune checkpoints, suggesting they might receive a greater benefit from immune checkpoint inhibitor therapy. In addition, a significant difference in the sensitivity to mitomycin. C, cisplatin, and docetaxel, but not etoposide and paclitaxel, was observed. In summary, this model had guiding significance for prognosis and personalized therapy. It helped screen patients with stomach cancer who might benefit from immunotherapy and guided the selection of personalized chemotherapeutic drugs.

Highlights

  • Stomach cancer is a malignant tumor worldwide

  • To identify Long non-coding RNAs (lncRNAs) associated with prognosis and ferroptosis, spearman coefficient, and univariate Cox proportional hazards regression (UniCox) analysis were conducted and 109 lncRNAs were identified

  • When partial likelihood deviance was minimal, 32 candidate lncRNAs were obtained as candidates (Figures 2A,B)

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Summary

Introduction

Stomach cancer is a malignant tumor worldwide. The AJCC/UICC TNM staging system has been used to predict prognosis for many years (Marano et al, 2015). Due to the complexity and high heterogeneity of stomach cancer, patients with the same TNM stratification sometimes present distinct prognoses. The development of novel and effective biological markers to predict prognosis is urgently needed. Treatment strategies for stomach cancer currently include endoscopic resection, surgery, perioperative or adjuvant chemotherapy, and targeted therapy (Smyth et al, 2020). The treatment efficacy in patients is affected by the chosen treatment strategy. Biological markers of gastric cancer for personalized treatment, including selecting effective strategies and avoiding excessive treatment, are important

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