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Identification of predictive biomarkers for treatment outcome in patients with advanced hepatocellular carcinoma

Identification of predictive biomarkers for treatment outcome in patients with advanced hepatocellular carcinoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0002264
Enrollment
100
Registered
2017-03-13
Start date
2016-06-08
Completion date
Unknown
Last updated
2019-03-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Yonsei University Health System, Severance Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: ? unresectable primary liver cancer ? Age 20 years old or older ? Whole body performance (ECOG) 0-2 ? Child-Pugh score is B or more ? Minimum volume of normal liver without tumor invasion> 1000cm3 ? Minimum distance between target and organ at risk (eg duodenum, stomach) = 0.5cm ? Adequate *LFT (*AST / *ALT <5 x upper limit of normal, total bilirubin> <3 mg / dl, albumin> 2.5 g / dL, normal *PT / *PTT) ? Adequate renal function (creatinine <1.8 mg / dl or *Ccr> 50 ml / min) ? *BM reserve (*ANC =1500 / mm3, *PLT =50000 / mm3, *Hb> 9 g / dl) ? lesion that can be measured or evaluated on CT ? Those who are pregnant and who agree to contraception ? The person who can read and understand the research agreement and sign the study agreement. *LFT(liver function test) *AST(aspartate aminotransferase) *ALT(alanine Transaminase) *PT(Prothrombin Time) *PTT(Partial Thromboplastin Time) *BM(Bone Marrow) *ANC(Absolute Neutrophil Count) *PLT(Platelet count) *Hb(Hemoglobin) *Ccr(Creatinine clearance)

Exclusion criteria

Exclusion criteria: ? Those who can not perform respiratory training for treatment design ? Patients with a history of previous abdominal radiation therapy ? Those who can not receive consent before treatment ? Those who do not agree to contraception as a pregnant patient

Design outcomes

Primary

MeasureTime frame
The association of serum cytokines with pre-selected live markers (usefulness test)

Secondary

MeasureTime frame
The relationship between the biomarker selected as the predictive model and the treatment performance (designing the risk prediction model)

Countries

Korea, Republic of

Contacts

Public Contactyoori im

Yonsei University Health System, Severance Hospital

imyoori@yuhs.ac+82-2-2228-4364

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026