Evidence map›Paper›PMID 35577504›Full record

ArticleJournal for immunotherapy of cancer2022

Albendazole induces immunotherapy response by facilitating ubiquitin-mediated PD-L1 degradation.

Lin Zhu, Xinwei Kuang, Guanxiong Zhang, Long Liang, Dandan Liu, Bin Hu, Zuozhong Xie, Hui Li, Hong Liu, Mao Ye and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Ubenimex combined with Albendazole for the treatment ofFrontiers in veterinary science · 2024
    Article
  13. Inhibition of CK2/ING4 Pathway Facilitates Non-Small Cell Lung Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  14. Article
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  16. Anthelmintic Drugs as Emerging Immune Modulators in Cancer.International journal of molecular sciences · 2023
    Review
  17. Review
  18. Current insight into the regulation of PD-L1 in cancer.Experimental hematology & oncology · 2022
    Review
  19. Review
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

12 authors at 2 institutions in 1 country.

Lin Zhu *Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xinwei Kuang *Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Guanxiong Zhang *Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Long LiangDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dandan LiuMolecular Biology Research Center, Center for Medical Genetics, Hunan Province Key Laboratory of Basic and Applied Hematology, School of Life Sciences, Central South University, Changsha, Hunan, China.
Bin HuMolecular Biology Research Center, Center for Medical Genetics, Hunan Province Key Laboratory of Basic and Applied Hematology, School of Life Sciences, Central South University, Changsha, Hunan, China.
Zuozhong XieDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui LiDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China hongliu1014@csu.edu.cn lihuiscience@163.com goldleaf@hnu.edu.cn chenxiangck@126.com jingliucsu@hotmail.com.
Hong LiuDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China hongliu1014@csu.edu.cn lihuiscience@163.com goldleaf@hnu.edu.cn chenxiangck@126.com jingliucsu@hotmail.com.
Mao YeMolecular Science and Biomedicine Laboratory, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Collaborative Innovation Center for Chemistry and Molecular Medicine, Hunan University, Changsha, Hunan, China hongliu1014@csu.edu.cn lihuiscience@163.com goldleaf@hnu.edu.cn chenxiangck@126.com jingliucsu@hotmail.com.
Xiang ChenDepartment of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, Changsha, Hunan, China hongliu1014@csu.edu.cn lihuiscience@163.com goldleaf@hnu.edu.cn chenxiangck@126.com jingliucsu@hotmail.com.
Jing LiuMolecular Biology Research Center, Center for Medical Genetics, Hunan Province Key Laboratory of Basic and Applied Hematology, School of Life Sciences, Central South University, Changsha, Hunan, China hongliu1014@csu.edu.cn lihuiscience@163.com goldleaf@hnu.edu.cn chenxiangck@126.com jingliucsu@hotmail.com.ORCID 0000-0001-5588-3865
Central South University · CNHunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have been increasingly used in patients with various cancers and have shown efficient therapeutic outcomes. However, fewer than 40% of cases across multiple cancer types show a response to ICIs. Therefore, developing more efficient combinational approaches with ICIs and revealing the underlying mechanisms are important goals for achieving rapid clinical transformation and application.

methodsThe effects on antitumor immunity activity of albendazole (ABZ) and the synergistic effects of ABZ with CD73 blockade were investigated in the melanoma B16F10 and the Lewis lung cancer tumor-bearing immune-competent mice models. The mechanism of ABZ reducing PD-L1 protein level through suppressing UBQLN4 was identified and validated through immunoprecipitation-mass spectrometry and molecular methods. Bioinformatics and anti-PD-1 therapy melanoma patients samples analysis were used to assess the level of UBQLN4/PD-L1 in the therapeutic efficacy of anti-PD-1 therapy.

resultsABZ induces CD8

conclusionsOur findings revealed a previously unappreciated role of ABZ in antitumor immunity by inducing ubiquitin-mediated PD-L1 protein degradation, identified predictors for assessing the therapeutic efficacy of anti-PD-1 therapy, and provided novel therapeutic possibility by combination treatment of ABZ and CD73 blockade in cancers.

Indexed as

AlbendazoleB7-H1 AntigenMelanomaAnimalsHumansImmunotherapyMiceUbiquitinAlbendazoleB7-H1 AntigenUbiquitinDrug Therapy, CombinationImmunotherapyMelanomaTumor Escape

Identifiers

PMID35577504
PMCPMC9115032
OpenAlexW4280579640

What OpenQuestion 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 OpenQuestion graph.