Page 252 - EJMO-9-2

Eurasian Journal of
Medicine and Oncology Prognosis of colon adenocarcinoma

differences in survival outcomes between high- and low-
risk groups when the eight-mRNA signature for COAD
patients was used for categorization.
Several of the genes in our model have been linked to
colorectal cancer progression and prognosis. For example,
acyl-CoA oxidase 1 (ACOX1), the initial rate-limiting
enzyme in fatty acid β-oxidation, has been implicated
in hepatocellular carcinoma development. ACOX1 is
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a direct target of miR-15b-5p in colorectal cancer, and
upregulation of miR-15b-5p by ACOX1 overexpression
prevented colorectal cancer cell motility and invasion. In
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this study, ACOX1 was found to be a protective prognostic
variable. The balance of membrane phospholipids
Figure 10. Quantitative real-time polymerase chain reaction. The
expression levels of the eight genes were validated in human colonic significantly influences cell carcinogenesis and the
epithelial cells (HCoEpiC), LoVo, and HCT-116 cell lines. advancement of cancer. ATPase class I type 8b member
1 (ATP8B1), a P4-ATPase involved in phospholipid
flipping, plays a role in cancer progression. In line with our
3.11. Quantitative real-time polymerase chain findings, decreased ATP8B1 levels have been positively
reaction validation linked to epithelial-mesenchymal transition and favorable
To verify the expression levels of the aforementioned prognoses for patients with colorectal cancer. 18
genes in the tumor population to the healthy population, The solute carrier (SLC) group of membrane transport
we compared two strains of human colon cancer cells proteins regulates zinc inflow and is implicated in a number
to normal colon epithelial cells. Our results showed that of physiological processes. A previous study found
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ACOX1, ATP8B1, TINAG, and SLC39A8 were expressed at that SLC family 39 (SLC39) members may be predictive
higher levels in normal colon epithelial cells. In contrast, indicators for breast cancer, with higher expression of
CHGA, TINAG, VEGFA, and PKIB were expressed at lower SLC39A8 expression in normal tissues than in breast
levels in normal colon epithelial cells than in colon cancer cancer tissues. In addition, in colorectal cancer, SLC39A8
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cells (Figure 10). has been identified as a protective gene, particularly
related to ferroptosis. Our findings support this role, with
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4. Discussion increased SLC39A8 levels being associated with lower risk
Colon adenocarcinoma is a common malignancy, scores. The four above-mentioned genes exhibited negative
yet it remains challenging to classify in terms of risk coefficients in the risk score equation, and their increased
stratification. The high cost of screening for high-risk expression was associated with low-risk scores. The other
individuals and the lack of clinically useful biomarkers four genes exhibited positive coefficients in the risk score
to identify such patients further complicates the issue. equation, and their increased expression is hypothesized to
Several studies have focused on developing multiple be associated with higher risk scores.
gene profiles using large public datasets to construct Tumor angiogenesis is a hallmark of cancer, and
prognostic risk models that can predict tumor dynamics, vascular endothelial growth factor A is an angiogenesis-
prognosis, and responses to common clinical treatment associated cytokine with pro-tumor angiogenic and pro-
strategies. 12-14 In this study, we aimed to risk-stratify tumor invasive metastatic effects. In this study, using
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COAD patients. We selected the TCGA-COAD dataset the TCGA dataset, we found that VEGFA expression
for modeling and internal validation and the GSE39582 is a relevant high-risk marker for COAD. Interestingly,
dataset for external validation. Subsequently, we VEGFA was overexpressed in the low-risk group in the
constructed an eight-gene prognostic prediction model external validation set. However, our study evaluated
for COAD. The established prognostic prediction model the value of these eight mRNAs, as a whole, on risk
performed better in risk-stratifying COAD patients and stratification and prognosis rather than just the value of a
predicting OS outcomes when integrated with clinical single gene. Furthermore, in the GEO external validation
features. Multiple genes have previously been shown set, CHGA overexpression was linked to high risk, but
to perform better at predicting prognosis compared to in the full TCGA cohort, it was a protective prognostic
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single genes. The modeling set, internal validation set, factor. According to bioinformatics analyses, patients
and GEO dataset demonstrated statistically significant with primary colorectal cancer had lower levels of

Volume 9 Issue 2 (2025) 244 doi: 10.36922/EJMO025060024