• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, February 7, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Cancer

New hepatocellular carcinoma prognostic model improves prediction of patient survival

Bioengineer by Bioengineer
April 28, 2016
in Cancer
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

The ITA.LI.CA prognostic system, a model integrating tumor staging, liver function, functional status, and alpha-fetoprotein level, builds on previous models of hepatocellular carcinoma (HCC) prognosis and shows superior survival prediction in Italian and Taiwanese cohorts, according to a study published this week in PLOS Medicine by Alessandro Vitale of Azienda Ospedaliera Universitaria di Padova, Italy, and colleagues.

Primary liver cancer is the sixth most common cancer and the second leading cause of cancer-related deaths worldwide. Current prognostic models for HCC (the most common liver cancer) do not integrate a number of patient-level factors that affect prognosis and treatment eligibility. Using the ITA.LI.CA dataset, prospectively collected from 5,290 consecutive patients with HCC from 19 institutions in Italy, Vitale and colleagues created an ITA.LI.CA staging system using tumor characteristics, and then developed a parametric multivariable survival model integrating ITA.LI.CA stage, Eastern Cooperative Oncology Group performance status, Child-Pugh score, and alpha-fetoprotein. The resulting prognostic score had concordance indices of 0.71 and 0.78 in internal (a subset of ITA.LI.CA) and external (Taiwanese, n=2,651) validation cohorts, respectively, and compared favorably (p Prospective trials beyond the two populations studied are needed to validate the generalizability of the ITA.LI.CA prognostic score.

Nonetheless, strong performance in two distinct cohorts suggests that Vitale and colleagues have developed a promising tool. In a Perspective on the study, Neehar Parikh of University of Michigan, Ann Arbor, Michigan (US) and Amit Singal of UT Southwestern Medical Center, Dallas, Texas (US) (both uninvolved in the study) discuss why ITA.LI.CA is timely and provides an advance, and propose next steps. On this study's impact, they say, "[t]his system is an important iteration in the evolution of staging for HCC, and, while it enters a crowded field, the ITA.LI.CA staging system is a worthy entrant."

###

Research Article

Funding:

The authors received no specific funding for this work.

Competing Interests:

I have read the journal's policy and the authors of this manuscript have the following competing interests: EG has received teaching and travel grants from Bayer AG. FP has received from Bayer and Bracco travel grants and honoraria for speaking or participation at meetings.

Citation:

Farinati F, Vitale A, Spolverato G, Pawlik TM, Huo T-l, Lee Y-H, et al. (2016) Development and Validation of a New Prognostic System for Patients with Hepatocellular Carcinoma. PLoS Med 13(4): e1002006. doi:10.1371/journal.pmed.1002006

Author Affiliations:

Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland, United States of America
National Yang-Ming University, Taipei City, Taiwan
Department of Medicine, Taipei Veterans General Hospital, Taipei City, Taiwan
Biostatistics Unit, University of Padua, Padua, Italy
Gastroenterology Unit, Department of Internal Medicine, IRCCS Azienda Ospedaliera Universitaria San Martino IST, University of Genoa, Genoa, Italy
Division of Surgery, San Marco Hospital, Zingonia, Italy
Division of Internal Medicine, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
Division of Internal Medicine and Gastroenterology, Complesso Integrato Columbus, Università Cattolica del Sacro Cuore, Rome, Italy
Division of Medicine, Bolognini Hospital, Seriate, Italy
Division of Gastroenterology, Belcolle Hospital, Viterbo, Italy
Division of Radiology, Department of Medicine, Fatebenefratelli Hospital, Milan, Italy
Division of Gastroenterology, Biomedical Department of Internal and Specialistic Medicine, University of Palermo, Palermo, Italy
Division of Gastroenterology, Bolzano Regional Hospital, Bolzano, Italy
Division of Gastroenterology and Metabolic Diseases, University Hospital of Pisa, Pisa, Italy
Division of Gastroenterology, Department of Medicine and Surgery, University of Naples Federico II, Naples, Italy
Division of Infectious Diseases and Hepatology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
Department of Internal Medicine, Ospedale per gli Infermi di Faenza, Faenza, Italy
Division of Internal Medicine and Gastroenterology, Fondazione Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Roma, Italy
Division of Gastroenterology, Polytechnic University of Marche, Ancona, Italy
Division of Internal Medicine 2, Ospedali Riuniti Villa Sofia Cervello, Palermo, Italy
Gastroenterology Unit, Ospedale Sacro Cuore Don Calabria, Negrar, Italy
Division of Semeiotics, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy

IN YOUR COVERAGE PLEASE USE THIS URL TO PROVIDE ACCESS TO THE FREELY AVAILABLE PAPER: http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002006

Contact:

Alessandro Vitale, MD, PhD
Azienda Ospedaliera Universitaria di Padova
Unità di Chirurgia Epatobiliare e Trapianto Epatico
via Giustiniani 2
Padova 35128
ITALY
+39 049/821-8548
[email protected]

Media Contact

PLOS Medicine
[email protected]

Home

The post New hepatocellular carcinoma prognostic model improves prediction of patient survival appeared first on Scienmag.

Share12Tweet8Share2ShareShareShare2

Related Posts

Deep Learning Uncovers Tetrahydrocarbazoles as Potent Broad-Spectrum Antitumor Agents with Click-Activated Targeted Cancer Therapy Approach

February 7, 2026

Newly Discovered Limonoid DHL-11 from Munronia henryi Targets IMPDH2 to Combat Triple-Negative Breast Cancer

February 7, 2026

New Discovery Reveals Why Ovarian Cancer Spreads Rapidly in the Abdomen

February 6, 2026

New Study Finds Americans Favor In-Clinic Screening Over At-Home Tests for Cervical Cancer

February 6, 2026
Please login to join discussion

POPULAR NEWS

  • Robotic Ureteral Reconstruction: A Novel Approach

    Robotic Ureteral Reconstruction: A Novel Approach

    82 shares
    Share 33 Tweet 21
  • Digital Privacy: Health Data Control in Incarceration

    63 shares
    Share 25 Tweet 16
  • Study Reveals Lipid Accumulation in ME/CFS Cells

    57 shares
    Share 23 Tweet 14
  • Breakthrough in RNA Research Accelerates Medical Innovations Timeline

    53 shares
    Share 21 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Oxygen-Enhanced Dual-Section Microneedle Patch Improves Drug Delivery and Boosts Photodynamic and Anti-Inflammatory Treatment for Psoriasis

Scientists Identify SARS-CoV-2 PLpro and RIPK1 Inhibitors Showing Potent Synergistic Antiviral Effects in Mouse COVID-19 Model

Neg-Entropy: The Key Therapeutic Target for Chronic Diseases

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 73 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.