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February 2, 2026Discover Oncology0 citationsOpen Access

A new oxidative stress-related lncRNA signature predicts the prognosis of colorectal cancer patients

PCPing ChenFLFeng LiJMJingwen Ma

Key Result

An oxidative stress-related 4-lncRNA signature demonstrated superior predictive accuracy for colorectal cancer prognosis compared to conventional parameters, with an AUC of 0.768.

Key Points

  • This research aims to develop a predictive model using oxidative stress-related lncRNAs for colorectal cancer prognosis.
  • Constructed a survival predictor based on OS-related lncRNAs from the Cancer Genome Atlas (TCGA-COAD)
  • Included four specific lncRNAs: LINC02474, AL513550.1, SNHG16, AL161729.4
  • Evaluated the predictive accuracy via area under the receiver operating characteristic curve (AUC)
  • Developed a nomogram incorporating risk scores with clinicopathological variables.
  • OS-related lncRNA signature displayed an AUC of 0.768, indicating good predictive accuracy
  • Nomogram showed strong performance in predicting outcomes based on risk scores and clinicopathological parameters
  • High-risk patients demonstrated increased sensitivity to various treatment drugs.

Study Design

Type

Observational

Structured PICO

Does an oxidative stress-related lncRNA signature predict overall survival and treatment sensitivity in patients with colorectal cancer?

P
Population
Patients with colorectal cancer from the Cancer Genome Atlas (TCGA-COAD) evaluated for a novel oxidative stress-related lncRNA prognostic signature.
E
Exposure
Oxidative stress-related 4-lncRNA signature (LINC02474, AL513550.1, SNHG16, AL161729.4) risk score
C
Comparator
Low-risk vs High-risk groups based on median risk score
O
Outcome
Overall survivalsurrogate

A novel 4-lncRNA signature related to oxidative stress can independently predict overall survival and potential drug sensitivity in patients with colorectal cancer.

Main Result

Effect estimate: AUC 0.768

Limitations

  • Further experimental validation and mechanistic studies are warranted to elucidate the precise role of OS-related lncRNAs in CRC pathogenesis.

Abstract

Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence. Increasing evidence suggests that oxidative stress (OS) generates high levels of reactive oxygen species (ROS) and free radicals and is a significant factor in aging and disease. However, the predictive value of OS-related long non-coding RNA (lncRNA) in CRC is unclear. We constructed a survival predictor based on OS-related lncRNAs obtained from the Cancer Genome Atlas (TCGA-COAD) to predict the prognosis of patients with CRC. The feature includes four lncRNAs, LINC02474, AL513550.1, SNHG16, and AL161729.4. The OS-related lncRNA signature demonstrated superior predictive accuracy to conventional clinicopathological parameters, with an area under the receiver operating characteristic curve (AUC) of 0.768, indicating its potential as a robust prognostic biomarker. Furthermore, the nomogram based on risk scores and clinicopathological variables (age, gender, grade, stage, M stage, and N stage) showed strong predictive performance. High-risk patients were found to be more sensitive to treatment drugs ABT.263, AZD.0530, gefitinib, imatinib, PAC.1, and shikonin. The predictive model we constructed can independently predict the prognosis of patients with CRC. Further experimental validation and mechanistic studies are warranted to elucidate the precise role of OS-related lncRNAs in CRC pathogenesis.

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Cite This Study

Chen et al. (2026) conducted an observational in Colorectal cancer (CRC). Oxidative stress-related lncRNA signature (LINC02474, AL513550.1, SNHG16, and AL161729.4) vs. Conventional clinicopathological parameters was evaluated on Prognosis of patients with CRC (AUC 0.768). An oxidative stress-related 4-lncRNA signature demonstrated superior predictive accuracy for colorectal cancer prognosis compared to conventional parameters, with an AUC of 0.768.

synapsesocial.com/papers/6980fe8ac1c9540dea810b81https://doi.org/10.1007/s12672-026-04496-1
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