Evidence map›Paper›PMID 36457492›Full record

ReviewFrontiers in oncology2022

Overcoming the therapeutic resistance of hepatomas by targeting the tumor microenvironment.

Jiaxin Zhang, Huiqiong Han, Lei Wang, Wenjia Wang, Mei Yang, Yanru Qin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

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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 1 institution in 1 country.

Jiaxin ZhangDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
Huiqiong HanDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
Lei WangDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
Wenjia WangDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
Mei YangDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
Yanru QinDepartment of Oncology, The First Affiliated Hospfigital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers and is the third leading cause of cancer-related mortality worldwide. Multifactorial drug resistance is regarded as the major cause of treatment failure in HCC. Accumulating evidence shows that the constituents of the tumor microenvironment (TME), including cancer-associated fibroblasts, tumor vasculature, immune cells, physical factors, cytokines, and exosomes may explain the therapeutic resistance mechanisms in HCC. In recent years, anti-angiogenic drugs and immune checkpoint inhibitors have shown satisfactory results in HCC patients. However, due to enhanced communication between the tumor and TME, the effect of heterogeneity of the microenvironment on therapeutic resistance is particularly complicated, which suggests a more challenging research direction. In addition, it has been reported that the three-dimensional (3D) organoid model derived from patient biopsies is more intuitive to fully understand the role of the TME in acquired resistance. Therefore, in this review, we have focused not only on the mechanisms and targets of therapeutic resistance related to the contents of the TME in HCC but also provide a comprehensive description of 3D models and how they contribute to the exploration of HCC therapies.

Indexed as

hepatocellular carcinomanovel drugspatient-derived organoidstherapeutic resistancetherapeutic targetstumor microenvironment

Identifiers

PMID36457492
PMCPMC9705776
OpenAlexW4309026361

What Socratic 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 Socratic graph.