Evidence map›Paper›PMID 33239070›Full record

ArticleBreast cancer research : BCR2020

Combined the SMAC mimetic and BCL2 inhibitor sensitizes neoadjuvant chemotherapy by targeting necrosome complexes in tyrosine aminoacyl-tRNA synthase-positive breast cancer.

Kyung-Min Lee, Hyebin Lee, Dohyun Han, Woo Kyung Moon, Kwangsoo Kim, Hyeon Jeong Oh, Jinwoo Choi, Eun Hye Hwang, Seong Eun Kang, Seock-Ah Im and 2 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. [Expression of YARS1 in hepatocellular carcinoma and its prognostic effect].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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 4 institutions in 1 country.

Kyung-Min LeeCenter for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Hyebin LeeDepartment of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Dohyun HanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Woo Kyung MoonDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Kwangsoo KimDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Hyeon Jeong OhDepartment of Pathology, National Cancer Center, Goyang-si, South Korea.
Jinwoo ChoiDepartment of Industrial Engineering Seoul National University, Seoul, South Korea.
Eun Hye HwangDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seong Eun KangDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seock-Ah ImDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Kyung-Hun LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Han Suk RyuCenter for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea. nash77@snu.ac.kr.ORCID 0000-0003-2508-9796
Seoul National University Hospital · KRKangbuk Samsung Hospital · KRNational Cancer Center · KRSeoul National University · KR

Funding

Ministry of Health & Welfare HI17C0048Ministry of Science, ICT and Future Planning 2016R1C1B2013275Ministry of Science, ICT and Future Planning 2018R1A1A1A05077484Ministry of Science, ICT and Future Planning 2019R1C1C1006640Seoul National University Hospital 03-2016-0390Seoul National University Hospital 03-2019-0400
6 · The paper itself

Abstract

backgroundChemotherapy is the standard treatment for breast cancer; however, the response to chemotherapy is disappointingly low. Here, we investigated the alternative therapeutic efficacy of novel combination treatment with necroptosis-inducing small molecules to overcome chemotherapeutic resistance in tyrosine aminoacyl-tRNA synthetase (YARS)-positive breast cancer.

methodsPre-chemotherapeutic needle biopsy of 143 invasive ductal carcinomas undergoing the same chemotherapeutic regimen was subjected to proteomic analysis. Four different machine learning algorithms were employed to determine signature protein combinations. Immunoreactive markers were selected using three common candidate proteins from the machine-learning algorithms and verified by immunohistochemistry using 123 cases of independent needle biopsy FFPE samples. The regulation of chemotherapeutic response and necroptotic cell death was assessed using lentiviral YARS overexpression and depletion 3D spheroid formation assay, viability assays, LDH release assay, flow cytometry analysis, and transmission electron microscopy. The ROS-induced metabolic dysregulation and phosphorylation of necrosome complex by YARS were assessed using oxygen consumption rate analysis, flow cytometry analysis, and 3D cell viability assay. The therapeutic roles of SMAC mimetics (LCL161) and a pan-BCL2 inhibitor (ABT-263) were determined by 3D cell viability assay and flow cytometry analysis. Additional biologic process and protein-protein interaction pathway analysis were performed using Gene Ontology annotation and Cytoscape databases.

resultsYARS was selected as a potential biomarker by proteomics-based machine-learning algorithms and was exclusively associated with good response to chemotherapy by subsequent immunohistochemical validation. In 3D spheroid models of breast cancer cell lines, YARS overexpression significantly improved chemotherapy response via phosphorylation of the necrosome complex. YARS-induced necroptosis sequentially mediated mitochondrial dysfunction through the overproduction of ROS in breast cancer cell lines. Combination treatment with necroptosis-inducing small molecules, including a SMAC mimetic (LCL161) and a pan-BCL2 inhibitor (ABT-263), showed therapeutic efficacy in YARS-overexpressing breast cancer cells.

conclusionsOur results indicate that, before chemotherapy, an initial screening of YARS protein expression should be performed, and YARS-positive breast cancer patients might consider the combined treatment with LCL161 and ABT-263; this could be a novel stepwise clinical approach to apply new targeted therapy in breast cancer patients in the future.

Indexed as

Aniline CompoundsAntineoplastic Combined Chemotherapy ProtocolsApoptosis Regulatory ProteinsBiopsyBreastBreast NeoplasmsCarcinoma, Ductal, BreastCell Line, TumorClinical Decision-MakingDrug SynergismFemaleHumansMastectomyMitochondrial ProteinsNecroptosisNeoadjuvant TherapyAniline CompoundsApoptosis Regulatory ProteinsBCL2 protein, humanDIABLO protein, humanLCL161Mitochondrial ProteinsnavitoclaxProto-Oncogene Proteins c-bcl-2SulfonamidesThiazolesTyrosine-tRNA LigaseBCL2 inhibitorBreast cancerNecroptosisSMAC mimeticTyrosine aminoacyl-tRNA synthetase (YARS)

Identifiers

PMID33239070
PMCPMC7687715
OpenAlexW3108138939

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.