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RESEARCH PRODUCT
Identification of clinical phenotypes and related survival in patients with large hccs
Rossella DonghiaAntonio GasbarriniGiovanni RaimondoElisabetta BiasiniFrancesco Giuseppe FoschiGianpaolo VidiliMaria GuarinoAndrea MegaMarco ZoliRodolfo SaccoFabio FarinatiBrian I. CarrGianluca Svegliati-baroniCiro CelsaEugenio CaturelliEdoardo G. GianniniVito GuerraGian Ludovico RapacciniMaria Di MarcoGerardo NardoneFranco TrevisaniClaudia CampaniLuca MuratoriFrancesco AzzaroliMaurizia Rossana BrunettoAlberto Masottosubject
0301 basic medicineCancer Researchmedicine.medical_specialtyPVTSettore MED/12 - GASTROENTEROLOGIASerum albuminlcsh:RC254-282GastroenterologyArticle03 medical and health sciences0302 clinical medicineInternal medicineMedicinePlateletHCCneoplasmsSurvival ratePVT.biologybusiness.industryProportional hazards modelAlbuminHazard ratioSettore MED/09 - MEDICINA INTERNAAlbuminMultifocalityHCC; large; phenotypes; PVT; multifocality; albuminlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasedigestive system diseasesPortal vein thrombosisAlbumin; HCC; Large; Multifocality; Phenotypes; PVTPhenotypesPhenotype030104 developmental biologyOncology030220 oncology & carcinogenesisHepatocellular carcinomabiology.proteinLargebusinessdescription
Background. Hepatocellular carcinoma (HCC) factors, especially maximum tumor diameter (MTD), tumor multifocality, portal vein thrombosis (PVT), and serum alpha-fetoprotein (AFP), influence survival. Aim. To examine patterns of tumor factors in large HCC patients. Methods. A database of large HCC patients was examined. Results. A multiple Cox proportional hazard model on death identified low serum albumin levels and the presence of PVT and multifocality, with each having a hazard ratio ≥2.0. All combinations of these three parameters were examined in relation to survival. Using univariate Cox analysis, the combination of albumin >
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-02-03 |