Evidence map›Paper›PMID 32774695›Full record

ReviewAmerican journal of translational research2020

Immune checkpoint targeting TIGIT in hepatocellular carcinoma.

Qiuxian Zheng, Jia Xu, Xinyu Gu, Fengtian Wu, Jingwen Deng, Xiaopeng Cai, Gang Wang, Guojun Li, Zhi Chen

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 39 citations in OpenAlex.

  1. Emerging Immune-Based Therapeutic Strategies in Hepatocellular Carcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

9 authors at 1 institution in 1 country.

Qiuxian ZhengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Jia XuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Xinyu GuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Fengtian WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Jingwen DengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Xiaopeng CaiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Gang WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Guojun LiDepartment of Hepatology, Shenzhen Third People's Hospital Shenzhen, China.
Zhi ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has an extremely poor prognosis and is one of the most common malignancies worldwide. Immune checkpoint suppression has become the most effective treatment option for liver cancer. The strategies used for immune checkpoint inhibitor targeting cancer therapies have been affected by some significant successes, including blocking the advanced-stage malignant tumor by death protein 1 (PD-1)/programmed cell death ligand (PDL-1), and cytotoxic T-lymphocyte antigen-4 (CTLA4) pathways. T cell immunoreceptor with immunoglobulin and ITIM domains (TIGIT) is an immune checkpoint that participates in tumor immune surveillance. Mainly expressed on T cells, natural killer (NK) cells, and other antigen-presenting cells (APCs), it diminishes cytokine production and exhibits strong suppressive properties. TIGIT achieves a more active antitumor immune response and highlights a pivotal role for cancer immunotherapy. Preclinical studies have found inhibitory effects using a targeted approach. Monotherapy targeting TIGIT or in combination with anti-PD-1/PD-L1 monoclonal antibodies for the treatment of patients with advanced solid malignancies have demonstrated improved antitumor immune responses. Due to the high tumor heterogeneity of liver cancer, immune checkpoint suppression therapy still needs further exploration. Therefore, we provide insights into the characteristics of TIGIT and the immune system in HCC.

Indexed as

HCCimmune cellsimmune check pointTIGIT

Identifiers

PMID32774695
PMCPMC7407725
OpenAlexW3049030585

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.