Evidence map›Paper›PMID 38393513›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2024

Nilotinib in combination with sunitinib renders MCL-1 for degradation and activates autophagy that overcomes sunitinib resistance in renal cell carcinoma.

Tingyu Liu, Xin Yue, Xue Chen, Ru Yan, Chong Wu, Yunzhi Li, Xianzhang Bu, Hui Han, Ran-Yi Liu

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 3 institutions in 1 country.

Tingyu Liu *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Xin Yue *Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China. yuex5@mail.sysu.edu.cn.
Xue Chen *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Ru YanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Chong WuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Yunzhi LiSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
Xianzhang BuSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
Hui HanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China. hanhui@sysucc.org.cn.
Ran-Yi LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China. liury@sysucc.org.cn.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 82172812National Natural Science Foundation of China 82272743Natural Science Foundation of Guangdong Province 2021A1515012496Natural Science Foundation of Guangdong Province 2022A1515012321The Enterprise United Foundation of Guangdong Province 2021A1515220182
6 · The paper itself

Abstract

purposeSunitinib is a recommended drug for metastatic renal cell carcinoma (RCC). However, the therapeutic potential of sunitinib is impaired by toxicity and resistance. Therefore, we seek to explore a combinatorial strategy to improve sunitinib efficacy of low-toxicity dose for better clinical application.

methodsWe screen synergistic reagents of sunitinib from a compound library containing 1374 FDA-approved drugs by in vitro cell viability evaluation. The synergistically antiproliferative and proapoptotic effects were demonstrated on in vitro and in vivo models. The molecular mechanism was investigated by phosphoproteomics, co-immunoprecipitation, immunofluorescence and western-blot assays, etc.

resultsFrom the four-step screening, nilotinib stood out as a potential synergistic killer combined with sunitinib. Subsequent functional evaluation demonstrated that nilotinib and sunitinib synergistically inhibit RCC cell proliferation and promote apoptosis in vitro and in vivo. Mechanistically, nilotinib activates E3-ligase HUWE1 and in combination with sunitinib renders MCL-1 for degradation via proteasome pathway, resulting in the release of Beclin-1 from MCL-1/Beclin-1 complex. Subsequently, Beclin-1 induces complete autophagy flux to promote antitumor effect.

conclusionOur findings revealed that a novel mechanism that nilotinib in combination with sunitinib overcomes sunitinib resistance in RCC. Therefore, this novel rational combination regimen provides a promising therapeutic avenue for metastatic RCC and rationale for evaluating this combination clinically.

Indexed as

AutophagyCarcinoma, Renal CellDrug Resistance, NeoplasmKidney NeoplasmsMyeloid Cell Leukemia Sequence 1 ProteinPyrimidinesSunitinibAnimalsApoptosisBeclin-1Cell Line, TumorCell ProliferationDrug SynergismHumansMiceMice, Inbred BALB CBeclin-1MCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinnilotinibPyrimidinesSunitinibAutophagyCombination therapyMCL-1NilotinibRenal cell carcinomaSunitinib

Identifiers

PMID38393513
PMCPMC12974000
OpenAlexW4392098496

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.