Evidence map›Paper›PMID 35633441›Full record

ReviewInternational journal of clinical oncology2022

Molecular targeted drugs, comprehensive classification and preclinical models for the implementation of precision immune oncology in hepatocellular carcinoma.

Shu Shimada, Shinji Tanaka

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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  4. Review
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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.

Shu ShimadaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.
Shinji TanakaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan. tanaka.monc@tmd.ac.jp.ORCID http://orcid.org/0000-0002-7718-3453
Tokyo Medical and Dental University · JP

Funding

Japan Agency for Medical Research and Development JP19cm0106540Japan Agency for Medical Research and Development JP20fk0210060Japan Agency for Medical Research and Development JP21fk0210090The Ministry of Education, Culture, Sports, Science and Technology of Japan 19H01055The Ministry of Education, Culture, Sports, Science and Technology of Japan 20K21627
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a complex heterogeneous disease with high morbidity and mortality. Recent progress in molecular targeted drugs including multikinase inhibitors and immune checkpoint inhibitors has demonstrated substantial survival improvement in patients with advanced HCC, but it remains as a challenging issue to discover surrogate markers for precisely distinguishing responders and non-responders. Genome-based medicine has changed cancer treatment from empirical use of cytotoxic agents to theoretical use of molecular targeted drugs in various types of cancer, while not in HCC due to lack of druggable targets. Integrated genomic and transcriptomic analysis reveal that HCC is divided into three major subtypes, proliferative, CTNNB1-mutated and metabolic disease-associated, with distinctive molecular and immunological features, and an increasing number of studies provide evidence for the close correlation between the subtype and the response to molecular targeted drugs using both of clinical data and preclinical models. Dozens of immunocompetent mouse models, such as hydrodynamic tail vain injection models and implantable syngeneic models, reflect molecular characteristics and tumor immune microenvironment of the subtypes, and help us to evaluate the efficacy of single and combination therapies and understand the molecular mechanisms underlying vulnerability and resistance to them. Thus, the consensus classification and relevant preclinical models could accelerate the establishment of predictive biomarkers and the development of subtype-specific therapies.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnimalsGene Expression ProfilingHumansMiceMolecular Targeted TherapyTumor MicroenvironmentHepatocellular carcinomaImmune checkpoint inhibitorMolecular classificationMolecular targeted drugPreclinical model

Identifiers

PMID35633441
OpenAlexW4281697191

What OpenQuestion holds

Textmetadata
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.