Evidence map›Paper›PMID 27622026›Full record

ArticleOncoimmunology2016

PD-L1 expression as a predictive biomarker for cytokine-induced killer cell immunotherapy in patients with hepatocellular carcinoma.

Chang-Long Chen, Qiu-Zhong Pan, Jing-Jing Zhao, Ying Wang, Yong-Qiang Li, Qi-Jing Wang, Ke Pan, De-Sheng Weng, Shan-Shan Jiang, Yan Tang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  5. Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025
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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

15 authors at 3 institutions in 1 country.

Chang-Long ChenCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center , Guangzhou, P. R. China.
Qiu-Zhong PanDepartment of Biotherapy, Sun Yat-Sen University Cancer Center , Guangzhou, China.
Jing-Jing ZhaoDepartment of Biotherapy, Sun Yat-Sen University Cancer Center , Guangzhou, China.
Ying WangDepartment of Epidemiology and Health Statistics, Guangdong Key Laboratory of Molecular Epidemiology, Guangdong Pharmaceutical University , Guangzhou, China.
Yong-Qiang LiDepartment of Biotherapy, Sun Yat-Sen University Cancer Center , Guangzhou, China.
Qi-Jing WangDepartment of Biotherapy, Sun Yat-Sen University Cancer Center , Guangzhou, China.
Ke PanCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China; Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
De-Sheng WengCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China; Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Shan-Shan JiangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center , Guangzhou, P. R. China.
Yan TangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China; Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xiao-Fei ZhangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center , Guangzhou, P. R. China.
Hong-Xia ZhangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center , Guangzhou, P. R. China.
Zi-Qi ZhouCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center , Guangzhou, P. R. China.
Yi-Xin ZengCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China; Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jian-Chuan XiaCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China; Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytokine-induced killer (CIK) cell immunotherapy represents an effective treatment strategy for treating hepatocellular carcinoma (HCC). However, the therapeutic benefits of CIK cell treatment can be influenced by differences in complex immune microenvironment between patients. Herein, we investigated the relationship between PD-L1 expression and survival benefits of CIK cell immunotherapy in HCC patients. This retrospective study included 448 HCC patients: 217 cases underwent hepatectomy alone; 231 cases received hepatectomy and post-operative CIK cell transfusion. Immunohistochemistry was used to measure PD-L1 expression in tumor tissue sections from all patients. Meanwhile, flow cytometry was performed to explore the relationship between PD-L1 expression and localized inflammatory response in HCC microenvironment. We found a significantly improved prognosis in CIK treatment group compared with surgery alone group. In the CIK treatment group, higher PD-L1 expression was observed in patients who exhibited long-term survival benefit. Survival analysis showed patients with ≥5% PD-L1 expression had better overall survival (OS) and recurrence-free survival (RFS) than patients with 1-5% or <1% PD-L1 expression, particularly in the subgroup with high hepatitis B viral load. By contrast, PD-L1 expression did not show direct impact on the survival of patients in surgery alone group. Additionally, PD-L1 expression was found to be highly associated with hepatitis B viral load and the proportion of tumor-infiltrating lymphocytes in HCC patients. In conclusions, our study indicates that PD-L1 expression may reflect the presence of endogenous host immune response to tumor and serve as a biomarker for predicting survival benefits from adjuvant CIK cell immunotherapy in HCC patients.

Indexed as

Adjuvant CIK immunotherapyhepatocellular carcinomaimmunohistochemistryPD-L1survival benefit

Identifiers

PMID27622026
PMCPMC5006896
OpenAlexW2464194295

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.