@article{10.11648/j.crj.20251301.12,
  author = {Yujiao Zhang and Guodong Yang and Jiping Wang and Huaxin Duan},
  title = {A Novel Ferroptosis-Related lncRNA Prognostic Signature for Colorectal Cancer by Bioinformatics Analysis
},
  journal = {Cancer Research Journal},
  volume = {13},
  number = {1},
  pages = {9-22},
  doi = {10.11648/j.crj.20251301.12},
  url = {https://doi.org/10.11648/j.crj.20251301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.crj.20251301.12},
  abstract = {Recently, extensive studies have shown that ferroptosis boosted a perspective for its usage in cancer therapeutics. The current study aims to construct a robust ferroptosis-related lncRNAs signature prediction model to increase the predicted value of colorectal cancer (CRC) by bioinformatics analysis. By comparing CRC tissue with adjacent normal tissues, we screened 2541 differentially expressed lncRNAs from The Cancer Genome Atlas (TCGA) CRC using the R language and "limma" package, of which 439 are ferroptosis-related lncRNAs. Univariate Cox regression, lasso regression, multivariate Cox regression are used to construct a seven ferroptosis-related lncRNAs (AC005550.2, LINC02381, AL137782.1, C2orf27A, AC156455.1, AL354993.2, AC008760.1) prognostic signature in train set. This model's prognosis in the high-risk group is worse than that of the low-risk group in the train set, test set, and entire set. Based on the stratification of clinical variables (gender, age, clinical stage, postoperative tumor status, CEA levels, perineural invasion, vascular invasion, mismatch repair (MMR) and gene mutation status (KRAS, BRAF)), the high-risk group's prognosis is also worse than that of the low-risk group. The area under curve (AUC) of receiver operating characteristic (ROC) curve for predicting three years survival in the train set, test set, and entire set were 0.796, 0.715, and 0.758, respectively. Furthermore, Univariate Cox regression and multivariate Cox regression displayed that the signature could serve as an independent prognostic factor; meanwhile, we draw the nomogram based on multivariate Cox regression (P<0.05). Compared to clinical variables, this signature's ROC curves demonstrated the second largest AUC value (0.737). The expression of these lncRNAs and the lncRNA signature are related to clinical stage, T stage, Lymph-node status, distant metastasis, KRAS mutation, BRAF mutation, MMR status, and perineural invasion. Finally, GSEA analysis results show that the signature is involved in six KEGG signal pathways, such as KEGG_HEDGEHOG_SIGNALING_PATHWAY, KEGG_ALPHA_LINOLENIC_ACID_METABOLISM, KEGG_ARACHIDONIC_ACID_METABOLISM, KEGG_CITRATE_CYCLE_TCA_CYCLE, KEGG_PENTOSE_PHOSPHATE_PATHWAY, KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM. In conclusion, the current study shows a seven ferroptosis-related lncRNA signature could efficiently function as a novel and independent prognosis biomarker and therapeutic target for CRC patients.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - A Novel Ferroptosis-Related lncRNA Prognostic Signature for Colorectal Cancer by Bioinformatics Analysis

AU  - Yujiao Zhang
AU  - Guodong Yang
AU  - Jiping Wang
AU  - Huaxin Duan
Y1  - 2025/05/19
PY  - 2025
N1  - https://doi.org/10.11648/j.crj.20251301.12
DO  - 10.11648/j.crj.20251301.12
T2  - Cancer Research Journal
JF  - Cancer Research Journal
JO  - Cancer Research Journal
SP  - 9
EP  - 22
PB  - Science Publishing Group
SN  - 2330-8214
UR  - https://doi.org/10.11648/j.crj.20251301.12
AB  - Recently, extensive studies have shown that ferroptosis boosted a perspective for its usage in cancer therapeutics. The current study aims to construct a robust ferroptosis-related lncRNAs signature prediction model to increase the predicted value of colorectal cancer (CRC) by bioinformatics analysis. By comparing CRC tissue with adjacent normal tissues, we screened 2541 differentially expressed lncRNAs from The Cancer Genome Atlas (TCGA) CRC using the R language and "limma" package, of which 439 are ferroptosis-related lncRNAs. Univariate Cox regression, lasso regression, multivariate Cox regression are used to construct a seven ferroptosis-related lncRNAs (AC005550.2, LINC02381, AL137782.1, C2orf27A, AC156455.1, AL354993.2, AC008760.1) prognostic signature in train set. This model's prognosis in the high-risk group is worse than that of the low-risk group in the train set, test set, and entire set. Based on the stratification of clinical variables (gender, age, clinical stage, postoperative tumor status, CEA levels, perineural invasion, vascular invasion, mismatch repair (MMR) and gene mutation status (KRAS, BRAF)), the high-risk group's prognosis is also worse than that of the low-risk group. The area under curve (AUC) of receiver operating characteristic (ROC) curve for predicting three years survival in the train set, test set, and entire set were 0.796, 0.715, and 0.758, respectively. Furthermore, Univariate Cox regression and multivariate Cox regression displayed that the signature could serve as an independent prognostic factor; meanwhile, we draw the nomogram based on multivariate Cox regression (P<0.05). Compared to clinical variables, this signature's ROC curves demonstrated the second largest AUC value (0.737). The expression of these lncRNAs and the lncRNA signature are related to clinical stage, T stage, Lymph-node status, distant metastasis, KRAS mutation, BRAF mutation, MMR status, and perineural invasion. Finally, GSEA analysis results show that the signature is involved in six KEGG signal pathways, such as KEGG_HEDGEHOG_SIGNALING_PATHWAY, KEGG_ALPHA_LINOLENIC_ACID_METABOLISM, KEGG_ARACHIDONIC_ACID_METABOLISM, KEGG_CITRATE_CYCLE_TCA_CYCLE, KEGG_PENTOSE_PHOSPHATE_PATHWAY, KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM. In conclusion, the current study shows a seven ferroptosis-related lncRNA signature could efficiently function as a novel and independent prognosis biomarker and therapeutic target for CRC patients.

VL  - 13
IS  - 1
ER  - 

Copy | Download