Evidence map›Paper›PMID 33579421›Full record

ReviewAdvances in cancer research2021

Hepatocellular carcinoma (HCC): Epidemiology, etiology and molecular classification.

Saranya Chidambaranathan-Reghupaty, Paul B Fisher, Devanand Sarkar

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Advances in cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07147335 (The Role of Serum AKR1B10 in Early Warning of Hepatocellular Carcinoma in Cirrhosis Patients ------ Risk Early Warning and Follow-up Study), which is not on this map. Cited by 582 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
582citing papers in PubMed, 5 pooled it
188.8field-weighted citation impact, top 1% 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.

NCT07147335 recruitingnot on this mapstarted 2025, after this paper: background citation

The Role of Serum AKR1B10 in Early Warning of Hepatocellular Carcinoma in Cirrhosis Patients ------ Risk Early Warning and Follow-up Study

Typeobservational_patient_registrySponsorThe First Affiliated Hospital of University of South ChinaRan2025 to 2028Enrolled800ConditionsCirrhosis, Hepotacellular CarcinomaArmsserum AKR1B10 levels
3 · Its place in the literature

Who cites it

582 citing papers in PubMed, 5 syntheses or guidelines pooled it, 840 citations in OpenAlex.

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522 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Saranya Chidambaranathan-ReghupatyC. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.
Paul B FisherDepartment of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Institute of Molecular Medicine, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Devanand SarkarDepartment of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Institute of Molecular Medicine, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States. Electronic address: devanand.sarkar@vcuhealth.org.
Virginia Commonwealth University · US

Funding

The role of AEG-1 in NASH and NASH-HCCR01DK107451 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI SARKAR, DEVANAND · 2016 to 2025
$3.9M
Novel Targeted Combinatorial Therapy for Hepatocellular CarcinomaR01CA244993 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI FISHER, PAUL B, SARKAR, DEVANAND · 2020 to 2024
$2.7M
A novel role of IGFBP7 in the microenvironment of hepatocellular carcinomaR01CA240004 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI SARKAR, DEVANAND, WANG, XIANG-YANG SHAWN · 2019 to 2023
$2.4M
Targeting oncogenes for hepatocellular carcinomaR01CA230561 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI SARKAR, DEVANAND · 2019 to 2023
$2.0M
NCI NIH HHS R01 CA230561NCI NIH HHS R01 CA240004NCI NIH HHS R01 CA244993NIDDK NIH HHS R01 DK107451
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC), the primary malignancy of hepatocytes, is a diagnosis with bleak outcome. According to National Cancer Institute's SEER database, the average five-year survival rate of HCC patients in the US is 19.6% but can be as low as 2.5% for advanced, metastatic disease. When diagnosed at early stages, it is treatable with locoregional treatments including surgical resection, Radio-Frequency Ablation, Trans-Arterial Chemoembolization or liver transplantation. However, HCC is usually diagnosed at advanced stages when the tumor is unresectable, making these treatments ineffective. In such instances, systemic therapy with tyrosine kinase inhibitors (TKIs) becomes the only viable option, even though it benefits only 30% of patients, provides only a modest (~3months) increase in overall survival and causes drug resistance within 6months. HCC, like many other cancers, is highly heterogeneous making a one-size fits all option problematic. The selection of liver transplantation, locoregional treatment, TKIs or immune checkpoint inhibitors as a treatment strategy depends on the disease stage and underlying condition(s). Additionally, patients with similar disease phenotype can have different molecular etiology making treatment responses different. Stratification of patients at the molecular level would facilitate development of the most effective treatment option. With the increase in efficiency and affordability of "omics"-level analysis, considerable effort has been expended in classifying HCC at the molecular, metabolic and immunologic levels. This review examines the results of these efforts and the ways they can be leveraged to develop targeted treatment options for HCC.

Indexed as

AnimalsCarcinoma, HepatocellularHumansLiver NeoplasmsEpidemiologyHepatocellular carcinomaImmunological classificationMetabolic classificationMolecular classificationRisks and causative factors

Identifiers

PMID33579421
PMCPMC8796122
OpenAlexW3107895035

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.