Evidence map›Paper›PMID 31799205›Full record

ArticleLiver cancer2019

Differential Organ-Specific Tumor Response to Immune Checkpoint Inhibitors in Hepatocellular Carcinoma.

Li-Chun Lu, Chiun Hsu, Yu-Yun Shao, Yee Chao, Chia-Jui Yen, I-Lun Shih, Yi-Ping Hung, Chun-Jung Chang, Ying-Chun Shen, Jhe-Cyuan Guo and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Liver cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04862949 (Organ-specific Responses to Atezolizumab Plus Bevacizumab in Patients With Advanced Hepatocellular Carcinoma), which is not on this map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT04862949 completednot on this mapstarted 2021, after this paper: background citation

Organ-specific Responses to Atezolizumab Plus Bevacizumab in Patients With Advanced Hepatocellular Carcinoma

TypeobservationalSponsorCHA UniversityRan2021 to 2023Enrolled131ConditionsAdvanced Hepatocellular CarcinomaArmsAtezolizumab plus bevacizumab
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 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

13 authors at 4 institutions in 1 country.

Li-Chun LuGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Chiun HsuGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Yu-Yun ShaoGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Yee ChaoDepartment of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.
Chia-Jui YenDepartment of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan.
I-Lun ShihDepartment of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
Yi-Ping HungDepartment of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.
Chun-Jung ChangGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Ying-Chun ShenGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Jhe-Cyuan GuoGraduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
Tsung-Hao LiuGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Chih-Hung HsuGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
Ann-Lii ChengGraduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
National Taiwan University · TWTaipei Veterans General Hospital · TWNational Cheng Kung University Hospital · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsImmune checkpoint inhibitors (ICIs) exhibit significant clinical activity in patients with advanced hepatocellular carcinoma (HCC). This study explored whether tumor response to ICIs in HCC varies among different organs.

methodsWe reviewed the data of patients with advanced HCC who had received ICIs. Patients with measurable diseases were enrolled. Organ-specific response criteria, adapted from RECIST 1.1 and immune-related RECIST, were used to evaluate the objective response to ICIs in tumors located in the liver, lung, lymph node, and other intra-abdominal sites.

resultsOf the 75 enrolled patients with advanced HCC, 51 and 11 patients had chronic hepatitis B virus and chronic hepatitis C virus infection, respectively. Regarding ICI treatment, 58, 1, and 16 patients had undergone anti-PD-1/anti-PD-L1 monoclonal antibody (mAb) alone, anti-CTLA4 mAb alone, and anti-PD-1 mAb plus anti-CTLA4 mAb, respectively; 20 and 55 patients had received ICIs as first-line or ≥second-line therapy. The overall objective response rate (ORR) was 28.0%. In total, 58, 34, 19, and 18 patients had measurable hepatic tumors and lung, lymph node, and other intra-abdominal metastases, and the corresponding organ-specific ORRs were 22.4, 41.2, 26.3, and 38.9%, respectively. Of the 39 patients who had both hepatic and extrahepatic tumors, 12 had disease control in extrahepatic tumors while progressive disease (PD) in hepatic tumors, whereas only 4 exhibited disease control in hepatic tumors while PD in extrahepatic tumors (

conclusionsThe hepatic tumors of HCC may be less responsive to ICIs than extrahepatic lesions. Lung metastases responded most favorably to ICIs. The mechanisms underlying this differential response to ICIs warrant further investigation.

Indexed as

Hepatocellular carcinomaImmune checkpoint inhibitorImmune contextureTumor microenvironmentTumor response

Identifiers

PMID31799205
PMCPMC6883443
OpenAlexW2966187720

What OpenQuestion holds

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Registered trials

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.