Evidence map›Paper›PMID 32718047›Full record

ReviewInternational journal of molecular sciences2020

Molecular Targets, Pathways, and Therapeutic Implications for Hepatocellular Carcinoma.

Jun Gong, Jeremy Chuang, May Cho, Kyra Toomey, Andrew Hendifar, Daneng Li

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Investigating CScientific reports · 2025
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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

6 authors at 3 institutions in 1 country.

Jun GongDepartment of Gastrointestinal Malignancies, Cedars-Sinai Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA 90048, USA.
Jeremy ChuangDepartment of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA.
May ChoDepartment of Internal Medicine, UC Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.ORCID 0000-0002-7152-0017
Kyra ToomeyDepartment of Internal Medicine, UC Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Andrew HendifarDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Daneng LiDepartment of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA.ORCID 0000-0001-5330-7522
Cedars-Sinai Medical Center · USCity of Hope · USUC Davis Comprehensive Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) represents one of the leading causes of cancer mortality worldwide. While significant advances have been made for the treatment of advanced hepatocellular carcinoma in the past few years, the prognosis remains poor and effective biomarkers to guide selection of therapies remain noticeably absent. However, several targeted therapies have been approved in the past few years that have improved the outlook for this disease. In this review, we will highlight the recent therapies approved for the treatment of advanced HCC and discuss promising therapeutic options, targets, and pathways for drug development and consideration for future clinical trials.

Indexed as

Carcinoma, HepatocellularDrug Delivery SystemsDrug DevelopmentLiver NeoplasmsAntineoplastic AgentsHumansAntineoplastic Agentsbiomarkerscancergastrointestinalhepatocellularunresectable

Identifiers

PMID32718047
PMCPMC7432744
OpenAlexW3045094694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.