Serum Proteomic Profile Based on the TGF-β Pathway Stratifies Risk of Hepatocellular Carcinoma.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
18 cases developed HCC over a 5-year follow-up period).
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
A 10-fold cross-validation demonstrated a mean AUC of 0.86 in cohort A, with strong predictive power in obese/MASLD/ALD-related patients (AUCs: 0.862-0.921). [CONCLUSIONS] The mechanism-based panel effectively stratifies HCC risk in cirrhotic patients, underscoring the need for Phase II/III validation.
[BACKGROUND] Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths, primarily due to late-stage diagnosis.
- 표본수 (n) 328
- p-value p < 0.05
- 연구 설계 cross-sectional
APA
Xiang X, Shetty K, et al. (2025). Serum Proteomic Profile Based on the TGF-β Pathway Stratifies Risk of Hepatocellular Carcinoma.. Liver international : official journal of the International Association for the Study of the Liver, 45(10), e70325. https://doi.org/10.1111/liv.70325
MLA
Xiang X, et al.. "Serum Proteomic Profile Based on the TGF-β Pathway Stratifies Risk of Hepatocellular Carcinoma.." Liver international : official journal of the International Association for the Study of the Liver, vol. 45, no. 10, 2025, pp. e70325.
PMID
40919824 ↗
Abstract 한글 요약
[BACKGROUND] Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths, primarily due to late-stage diagnosis. In this multicenter study, our goal is to identify functional biomarkers that stratify the risk of HCC in patients with cirrhosis (CP) for early diagnosis.
[METHODS] Five thousand and eight serum proteins (Somascan) were analysed in Cohort A (477 CP, including 125 HCC). Clustering analysis of the TGF-β pathway-associated protein signature was performed in a longitudinal, prospective Cohort B (312 CP, in which 18 cases developed HCC over a 5-year follow-up period). Next, a multivariable prediction model was built using logistic regression analysis of cross-sectional data from a matched subgroup (n = 328, Cohort C). Model performance was 10-fold cross-validated across the entire Cohort A (n = 477).
[RESULTS] Longitudinal follow-up analysis revealed that patients with elevated TGF-β-related protein signature displayed a five-fold increased risk of developing HCC (9.68% vs. 1.91%). Compared to cirrhosis, serum MSTN, TGFBR2, and AFP levels raised in HCC were validated by ELISA (n = 200, odds ratio = 1.4-2.9, p < 0.05). In Cohort C, 88 proteins were significantly altered in HCC compared to cirrhosis (p < 0.05). The six-protein panel (TGFBR2, MSTN, AFP, COL18A1, GLUL, TP63) displayed a strong performance in the matched cohort C (AUC 0.87, sensitivity 0.88, specificity 0.72), alongside four clinical factors (Age, Sex, BMI, Bilirubin). A 10-fold cross-validation demonstrated a mean AUC of 0.86 in cohort A, with strong predictive power in obese/MASLD/ALD-related patients (AUCs: 0.862-0.921).
[CONCLUSIONS] The mechanism-based panel effectively stratifies HCC risk in cirrhotic patients, underscoring the need for Phase II/III validation.
[METHODS] Five thousand and eight serum proteins (Somascan) were analysed in Cohort A (477 CP, including 125 HCC). Clustering analysis of the TGF-β pathway-associated protein signature was performed in a longitudinal, prospective Cohort B (312 CP, in which 18 cases developed HCC over a 5-year follow-up period). Next, a multivariable prediction model was built using logistic regression analysis of cross-sectional data from a matched subgroup (n = 328, Cohort C). Model performance was 10-fold cross-validated across the entire Cohort A (n = 477).
[RESULTS] Longitudinal follow-up analysis revealed that patients with elevated TGF-β-related protein signature displayed a five-fold increased risk of developing HCC (9.68% vs. 1.91%). Compared to cirrhosis, serum MSTN, TGFBR2, and AFP levels raised in HCC were validated by ELISA (n = 200, odds ratio = 1.4-2.9, p < 0.05). In Cohort C, 88 proteins were significantly altered in HCC compared to cirrhosis (p < 0.05). The six-protein panel (TGFBR2, MSTN, AFP, COL18A1, GLUL, TP63) displayed a strong performance in the matched cohort C (AUC 0.87, sensitivity 0.88, specificity 0.72), alongside four clinical factors (Age, Sex, BMI, Bilirubin). A 10-fold cross-validation demonstrated a mean AUC of 0.86 in cohort A, with strong predictive power in obese/MASLD/ALD-related patients (AUCs: 0.862-0.921).
[CONCLUSIONS] The mechanism-based panel effectively stratifies HCC risk in cirrhotic patients, underscoring the need for Phase II/III validation.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Carcinoma
- Hepatocellular
- Liver Neoplasms
- Male
- Female
- Middle Aged
- Liver Cirrhosis
- Proteomics
- Transforming Growth Factor beta
- Prospective Studies
- Biomarkers
- Tumor
- Aged
- Longitudinal Studies
- Logistic Models
- Cross-Sectional Studies
- Risk Assessment
- Risk Factors
- Receptor
- Transforming Growth Factor-beta Type II
- cirrhosis
- early diagnosis
- liver cancer
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