Conditional survival analysis of hepatocellular carcinoma

Shah, Mihir M.; Meyer, Benjamin I.; Rhee, Kevin; NeMoyer, Rachel; Lin, Yong; Tzeng, Ching Wei D.; Jabbour, Salma K.; Kennedy, Timothy J.; Nosher, John L.; Kooby, David A.; Maithel, Shishir K.; Carpizo, Darren R.

doi:10.1002/jso.26049

Cited by 21 publications

(28 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CDSS has been studied in various other malignancies and is a powerful tool for physicians and patients to understand long-term outcomes and prognosis. [18][19][20][21][22][23][24] Within our cohort of .3000 patients, we illustrate that SES status affects DSS, with those in the lower third of SES b Isolated to patients of regional and distant disease. Controlled for pathology as well.…”

Section: Discussionmentioning

confidence: 81%

See 1 more Smart Citation

Impact of Socioeconomic Status on Paranasal Sinus Cancer Disease‐Specific and Conditional Survival

Sharma¹,

Signore²,

Govindaraj³

et al. 2021

Otolaryngol.--head neck surg.

View full text Add to dashboard Cite

Objective Socioeconomic status (SES) is often used to quantify social determinants of health. This study uses the National Cancer Institute SES index to examine the effect of SES on disease-specific survival and 5-year conditional disease-specific survival (CDSS; the change in life expectancy with increasing survivorship) in paranasal sinus cancer Study Design Cross-sectional analysis. Setting National Cancer Institute’s Surveillance, Epidemiology and End Results (SEER) program. Methods A study of adults with sinus cancer between 1973 and 2015 was performed. The Yost index, a census tract–level composite score of SES, was used to categorize patients. Kaplan-Meier analysis and Cox regression for disease-specific survival were stratified by SES. CDSS was calculated with simplified models. Logistic regression was conducted to identify risk factors for advanced stage at diagnosis, multimodal therapy, and diagnosis of squamous cell carcinoma. Results There were 3437 patients analyzed. In Cox models adjusting for patient-specific factors, the lowest SES tertile exhibited worse mortality (hazard ratio, 1.22; 95% CI, 1.07-1.39; P < .01). After addition of treatment and pathology, SES was not significant ( P = .07). The lowest SES tertile was more often diagnosed at later stages (odds ratio [OR], 1.52; 95% CI, 1.12-2.06; P < .01). For those with regional/distant disease, the middle tertile (OR, 0.75; 95% CI, 0.63-0.90; P < .01) and lowest tertile (OR, 0.75; 95% CI, 0.62-0.91; P < .01) were less likely to receive multimodal therapy. SES tertiles primarily affected 5-year CDSS for regional/distant disease. CDSS for all stages converged over time. Conclusion Lower SES is associated with worse outcomes in paranasal sinus cancer. Research should be devoted toward understanding factors that contribute to such disparities, including tumor pathology and treatment course.

show abstract

Section: Discussionmentioning

confidence: 81%

“…CDSS has been studied in various other malignancies and is a powerful tool for physicians and patients to understand long-term outcomes and prognosis. 18-24…”

Section: Discussionmentioning

confidence: 99%

Impact of Socioeconomic Status on Paranasal Sinus Cancer Disease‐Specific and Conditional Survival

Sharma¹,

Signore²,

Govindaraj³

et al. 2021

Otolaryngol.--head neck surg.

View full text Add to dashboard Cite

show abstract

“…To determine the prognostic value of the OS-related genes, we used the following formula to calculate the probability of surviving an additional y years (CS) given that the patient has already survived for x years: CS(x|y) = S(x+y)/S(x), where S(x) is OS at x years. For example, the 2-year CS of patients who survived three years after surgery was calculated as CS(3|2) = S(5)/S(3) [19][20][21]. The functional enrichment of OS-related genes was further verified using metascape (https://metascape.org).…”

Section: Cox Regression and Kaplan-meier Analysesmentioning

confidence: 99%

Prognosis-related molecular subtypes and immune features associated with hepatocellular carcinoma

Lin

Gao

et al. 2022

Preprint

View full text Add to dashboard Cite

Bioinformatics tools were used to identify prognosis-related molecular subtypes and biomarkers of hepatocellular carcinoma (HCC). Differential expression analysis of four datasets (TCGA, GSE76427, GSE25097, and GSE14520) identified 3,330 genes differentially expressed in the same direction in all four datasets; those genes were involved in the cell cycle, FOXO signaling pathway, as well as complement and coagulation cascades. Based on non-negative matrix decomposition, two molecular subtypes of HCC with different prognosis were identified, with subtype C2 showing better overall survival than subtype C1. Cox regression and Kaplan-Meier analysis showed that 217 of the overlapping DEGs were closely associated with HCC prognosis. The subset of those genes showing an area under the curve > 0.80 was used to construct random survival forest and least absolute shrinkage and selection operator models, which identified seven feature genes (SORBS2, DHRS1, SLC16A2, RCL1, IGFALS, GNA14, and FANCI) that may be involved in HCC occurrence and prognosis. Based on the feature genes, risk score and recurrence models were constructed, while a univariate Cox model identified FANCI as a key gene involved mainly in the cell cycle, DNA replication, and mismatch repair. Further analysis showed that FANCI had two mutation sites and that its gene may undergo methylation. Single-sample gene set enrichment analysis showed that Th2 and T helper cells are significantly upregulated in HCC patients compared to controls. Our results identify FANCI as a potential prognostic biomarker for HCC.

show abstract

“…The five-year survival rate of liver cancer patients is only 18%. After resection, the five-year survival rate of patients can exceed 50% [ 5 , 6 ]. At present, surgical resection is still the main treatment means for primary hepatic carcinoma.…”

Section: Introductionmentioning

confidence: 99%

Upregulation of GTPBP4 Promotes the Proliferation of Liver Cancer Cells

Chen

Zhang

2021

Journal of Oncology

View full text Add to dashboard Cite

Research Background. Liver cancer is a public health issue worldwide and ranks second in cancer-related mortality rates worldwide. In China, the mortality rate of liver cancer ranks second among all cancer types. The five-year survival rate of liver cancer is only 18%, and the five-year survival rate after surgery can exceed 50%, but the recurrence rate after surgery is as high as 70%. Therefore, the research on the occurrence and progression mechanism of liver cancer is still urgent. Research Method. Explore the expression of GTPBP4 in liver cancer patients in GEPIA2, Oncomine, and UALCAN databases. The relationship between GTPBP4 gene expression and the overall survival of liver cancer patients was explored in the Kaplan–Meier plotter database. Through the STRING database, the protein interacting with GTPBP4 was found. Subsequently, the expression of GTPBP4 gene’s mRNA level and protein level in liver cancer cells was verified by fluorescence quantitative PCR and Western blotting experiments. Through the CCK-8 experiment, the effect of GTPBP4 gene’s expression on the growth of liver cancer cells was explored. Through nude mouse tumorigenicity assay, the effect of GTPBP4 expression on tumor growth in vivo was explored. Results. The GTPBP4 has upregulated expression in liver cancer patients ( P < 0.01 ), but there was no difference in its expression in patients with different clinicopathological stages. The expression of GTPBP4 increased with the increase of cancer metastasis in lymph nodes ( P < 0.01 ). Liver cancer patients with upregulated expression of GTPBP4 showed a shorter overall survival rate ( P = 0.02 ). GTPBP4 is closely related to genes such as NIFK, WDR12, and RPF2, and these genes are involved in life processes such as GTP binding and rRNA processing. The upregulated expression of GTPBP4 promotes the proliferation of liver cancer cells and promotes the growth of tumors in mice, while the downregulated expression of GTPBP4 inhibits the proliferation of liver cancer cells and inhibits the growth of tumors in mice. Conclusion. The expression of GTPBP4 is upregulated in liver cancer patients and affects the overall survival rate of patients. The upregulated expression of GTPBP4 promotes the proliferation of liver cancer cells and the growth of tumors.

show abstract

Conditional survival analysis of hepatocellular carcinoma

Cited by 21 publications

References 15 publications

Impact of Socioeconomic Status on Paranasal Sinus Cancer Disease‐Specific and Conditional Survival

Impact of Socioeconomic Status on Paranasal Sinus Cancer Disease‐Specific and Conditional Survival

Prognosis-related molecular subtypes and immune features associated with hepatocellular carcinoma

Upregulation of GTPBP4 Promotes the Proliferation of Liver Cancer Cells

Contact Info

Product

Resources

About