Evidence map›Paper›PMID 33816052›Full record

ArticleCurrent hepatology reports2020

Genomic Landscape of HCC.

Adeniji Nia, Renumathy Dhanasekaran

Open access · greenAbstract read
In one paragraph

Article in Current hepatology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

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  7. HRAS Induces Ferroptosis through Upregulating HSPB1 in Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 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

2 authors at 1 institution in 1 country.

Adeniji NiaStanford School of Medicine, Stanford, CA.
Renumathy DhanasekaranDivision of Gastroenterology and Hepatology, Stanford, CA.
Stanford Medicine · US

Funding

Functional Proteomic Analysis and Biomarker Identification in a Novel Mouse Model of Metastatic Hepatocellular Carcinoma (HCC)K08CA222676 · NCI · STANFORD UNIVERSITY · PI DHANASEKARAN, RENUMATHY · 2018 to 2022
$1.0M
NCI NIH HHS K08 CA222676
6 · The paper itself

Abstract

introductionHepatocellular carcinoma (HCC) is a leading cause of cancer related mortality in the world and it has limited treatment options. Understanding the molecular drivers of HCC is important to develop novel biomarkers and therapeutics. PURPOSE OF REVIEW: HCC arises in a complex background of chronic hepatitis, fibrosis and liver regeneration which lead to genomic changes. Here, we summarize studies that have expanded our understanding of the molecular landscape of HCC. RECENT

findingsRecent technological advances in next generation sequencing (NGS) have elucidated specific genetic and molecular programs involved in hepatocarcinogenesis. We summarize the major somatic mutations and epigenetic changes have been identified in NGS-based studies. We also describe promising molecular therapies and immunotherapies which target specific genetic and epigenetic molecular events. SUMMARY: The genomic landscape of HCC is incredibly complex and heterogeneous. Promising new developments are helping us decipher the molecular drivers of HCC and leading to new therapies.

Indexed as

carcinogenesisgenomicsHCCliver cancermutationtherapeutics

Identifiers

PMID33816052
PMCPMC8015384
OpenAlexW3105750397

What OpenQuestion holds

Textmetadata
LicenceTDM
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.