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1.
Clin Med Insights Oncol ; 18: 11795549241228232, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38450293

RESUMEN

Background: The risk of first recurrence of hepatocellular carcinoma (HCC) within years 5 to 10 after curative hepatectomy remains unknown. We aimed to assess the incidence and prognostic factors for very late recurrence among patients who achieved 5 years' recurrence-free survival (RFS) after primary resection. Methods: We retrospectively analyzed 337 patients with early-stage HCC underwent primary tumor resection and achieved more than 5 years' RFS. Results: A total of 77 patients (22.8%) developed very late recurrence. The cumulative very late recurrence rate increased from 6.9% and 11.7% to 16.6% at 6, 7, and 8 years, respectively. Patients stopped smoking had a higher rate of very late RFS. Conclusions: The high rates of very late recurrence in HCC indicate that patients warrant continued surveillance, even after 5 recurrence-free years. Moreover, smoking is a risk factor for very late HCC recurrence, and quitting smoking may reduce the risk of very late recurrence.

2.
J Formos Med Assoc ; 122(2): 157-163, 2023 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-36155707

RESUMEN

BACKGROUND/PURPOSE: Gut microbiology is associated with liver disease due to gut-liver circulation via the gut microbial-liver axis. There is a paucity of data regarding the effects of treatment to cure hepatitis C virus (HCV) infection on the gut microbiota. The aim of this study was to evaluate the fecal microbiota before and after treatment with direct antiviral agents (DAA) in patients with HCV infection. METHODS: This prospective study was conducted at Kaohsiung Chung-Gung Memorial Hospital, Taiwan, between December 2019 and November 2020. We recruited patients with chronic hepatitis C (CHC) receiving DAA treatment. Fecal samples were collected twice: at baseline (before DAA treatment; CHC group) and 24 weeks after the end of treatment (EOT; SVR24 group), and once from healthy controls at baseline (control group). The taxonomic composition of the gut microbiota was determined using 16 S ribosomal RNA gene sequencing of stool samples. RESULTS: A total of 60 patients with CHC and 60 healthy controls matched by age and gender were enrolled. All patients achieved a sustained virologic response (SVR). Alpha diversity was not significantly difference between any groups. Analysis of similarities (ANOSIM) revealed minor differences in the microbial community structure between the control group and CHC group (R = 0.0146, P = 0.098) and less significant differences between the CHC group and SVR24 group (R = -0.0139; P = 0.94). Three phyla and eight genera were differentially abundant between the control group and CHC group. CONCLUSION: Individuals with CHC do not exhibit significant gut microbiota alterations and eradication of HCV by DAA is not associated with significant modification of the gut microbiota.


Asunto(s)
Microbioma Gastrointestinal , Hepatitis C Crónica , Hepatitis C , Humanos , Hepatitis C Crónica/complicaciones , Microbioma Gastrointestinal/fisiología , Antivirales/uso terapéutico , Estudios Prospectivos , Hepatitis C/tratamiento farmacológico , Hepacivirus
3.
Springerplus ; 5: 294, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27066331

RESUMEN

Composite cloud services based on the methodologies of Software as a Service and Service-Oriented Architecture are transforming how people develop and use software. Cloud service providers are confronting the service selection problem when composing composite cloud services. This paper deals with an important type of service selection problem, minimizing the total cost of providing a composite cloud service with respect to the constraints of service level agreement (SLA). Two types of SLA are considered in the study: per-request-based SLA and ratio-based SLA. We present three service selection approaches for dynamic cloud environments where services' performance might vary with time. The first two are iterative compound approaches for per-request-based SLA and the third approach is a one-step method for ratio-based SLA based on the Chebyshev's theorem and nonlinear programming. Experimental results show that our approaches outperform the previous method significantly in terms of total cost reduction.

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