Evidence map›Paper›PMID 34522690›Full record

ReviewJournal of hepatocellular carcinoma2021

An Overview of the Genomic Characterization of Hepatocellular Carcinoma.

Sun Young Yim, Ju-Seog Lee

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hepatocellular carcinoma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Role of Rab GTPases in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Sun Young YimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Ju-Seog LeeDepartment of Systems Biology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.ORCID 0000-0002-5666-9753
Korea University · KRThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YAO, JAMES C · 2019 to 2023
$11.3M
PEA15 IN DEVELOPMENT OF LIVER CANCER AND ITS THERAPEUTIC IMPLICATIONR01CA237327 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2020 to 2024
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA217674NCI NIH HHS R01 CA237327
6 · The paper itself

Abstract

Tumor classifications based on alterations in the genome, epigenome, or proteome have revealed distinct tumor subgroups that are associated with clinical outcomes. Several landmark studies have demonstrated that such classifications can significantly improve patient outcomes by enabling tailoring of therapy to specific alterations in cancer cells. Since cancer cells accumulate numerous alterations in many cancer-related genes, it is a daunting task to find and confirm important cancer-promoting alterations as therapeutic targets or biomarkers that can predict clinical outcomes such as survival and response to treatments. To aid further advances, we provide here an overview of the current understanding of molecular and genomic subtypes of hepatocellular carcinoma (HCC). System-level integration of data from multiple studies and development of new technical platforms for analyzing patient samples hold great promise for the discovery of new targets for treatment and correlated biomarkers, leading to personalized medicine for treatment of HCC patients.

Indexed as

gene expression profilegenomic subtypesmutationsproteomicsRNA-seq

Identifiers

PMID34522690
PMCPMC8434863
OpenAlexW3196601876

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.