Evidence map›Paper›PMID 33650639›Full record

ArticleOncology reports2021

In vitro and ex vivo anti‑tumor effect and mechanism of Tucatinib in leukemia stem cells and ABCG2‑overexpressing leukemia cells.

Wen Jing, Mao Zhou, Ruixia Chen, Xijiu Ye, Weixing Li, Xiangfei Su, Jianwei Luo, Zhi Wang, Shuling Peng

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 1 country.

Wen Jing *Department of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Mao Zhou *Department of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Ruixia ChenDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Xijiu YeDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Weixing LiDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Xiangfei SuDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Jianwei LuoDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Zhi WangDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Shuling PengDepartment of Anesthesiology, Sun Yat‑Sen Memorial Hospital, Sun Yat‑Sen University, Guangzhou, Guangdong 510289, P.R. China.
Sun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia stem cells (LSCs), which evade standard chemotherapy, may lead to chemoresistance and disease relapse. The overexpression of ATP‑binding cassette subfamily G member 2 (ABCG2) is an important determinant of drug resistance in LSCs and it can serve as a marker for LSCs. Targeting ABCG2 is a potential strategy to selectively treat and eradicate LSCs, and, hence, improve leukemia therapy. Tucatinib (Irbinitinib) is a novel tyrosine kinase inhibitor, targeting ErbB family member HER2, and was approved by the Food and Drug Administration in April 2020, and in Switzerland in May 2020 for the treatment of HER2‑positive breast cancer. In the present study, the results demonstrated that tucatinib significantly improved the efficacy of conventional chemotherapeutic agents in ABCG2‑overexpressing leukemia cells and primary leukemia blast cells, derived from patients with leukemia. In addition, tucatinib markedly decreased the proportion of leukemia stem cell‑like side population (SP) cells. In SP cells, isolated from leukemia cells, the intracellular accumulation of Hoechst 33342, which is an ABCG2 substrate, was significantly elevated by tucatinib. Furthermore, tucatinib notably inhibited the efflux of [3H]‑mitoxantrone and, hence, there was a higher level of [3H]‑mitoxantrone in the HL60/ABCG2 cell line. The result from the ATPase assay revealed that tucatinib may interact with the drug substrate‑binding site and stimulated ATPase activity of ABCG2. However, the protein expression level and cellular location of ABCG2 were not affected by tucatinib treatment. Taken together, these data suggested that tucatinib could sensitize conventional chemotherapeutic agents, in ABCG2‑overexpressing leukemia cells and LSCs, by blocking the pump function of the ABCG2 protein. The present study revealed that combined treatment with tucatinib and conventional cytotoxic agents could be a potential therapeutic strategy in ABCG2‑positive leukemia.

Indexed as

Adenosine TriphosphatasesAdultAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily G, Member 2BenzimidazolesCell SurvivalDrug Resistance, NeoplasmFemaleHumansLeukemiaMaleMitoxantroneNeoplasm ProteinsNeoplastic Stem CellsOxazolesPyridinesABCG2 protein, humanAdenosine TriphosphatasesAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily G, Member 2Benzimidazolesbisbenzimide ethoxide trihydrochlorideMitoxantroneNeoplasm ProteinsOxazolesPyridinesQuinazolinestucatinibABCG2leukemialeukemia stem cellsmultidrug resistancetucatinib

Identifiers

PMID33650639
PMCPMC7859976
OpenAlexW3118232728

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.