Evidence map›Paper›PMID 33528759›Full record

ReviewTargeted oncology2021

The Evolving Landscape of Checkpoint Inhibitor Combination Therapy in the Treatment of Advanced Hepatocellular Carcinoma.

Lin Liu, Shukui Qin, Yu Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Targeted oncology, 2021. 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
2.8field-weighted citation impact, top 7% 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, 14 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

3 authors at 3 institutions in 1 country.

Lin LiuDepartment of Oncology, Zhong-Da Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Shukui QinCancer Center of Jinling Hospital, Nanjing Chinese Medicine University, Nanjing, 210002, China. medicine81@126.com.ORCID 0000-0001-9772-132X
Yu ZhangSchool of Biological Science and Medical Engineering, State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, Southeast University, Nanjing, 210009, China. zhangyu@seu.edu.cn.
Nanjing University of Chinese Medicine · CNState Key Laboratory of Digital Medical EngineeringZhongda Hospital Southeast University · CN

Funding

the CSCO Cancer Research Fund Y-HR2018-151the National Key R & D Program of China 2017YFA0205502
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common cancers and a main cause of cancer-associated death worldwide. Even with the successful launch of sorafenib for the clinical treatment of HCC in 2007, the long-term survival for patients with HCC is still suboptimal, largely due to the occurrence of primary or acquired drug resistance. With an improved understanding of the molecular pathophysiology and tumor heterogeneity of HCC, therapeutic options have been evolving rapidly in recent years. While lenvatinib, cabozantinib, regorafenib, and the monoclonal antibody ramucirumab, as well as the immune checkpoint inhibitors (ICIs) atezolizumab, nivolumab, and pembrolizumab, have all shown promise in clinical trials, ICIs, especially when administered in combination with molecular-targeted drugs or cytotoxic drugs, have drawn increased attention. Recently, ample relevant clinical studies have surfaced, particularly related to the use of ICIs and exploring the therapeutic potential of ICI combination strategies. A more thorough knowledge of novel treatment strategies should help in decision making for advanced HCC therapy. The present review summarizes the mechanisms of HCC tumorigenesis, relevant trial results for approved HCC therapies, future perspectives, and major challenges for the overall treatment of HCC.

Indexed as

Carcinoma, HepatocellularHumansImmune Checkpoint InhibitorsLiver NeoplasmsImmune Checkpoint Inhibitors

Identifiers

PMID33528759
OpenAlexW3128097018

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.