Evidence map›Paper›PMID 31446643›Full record

ArticleCancer science2019

SHR-A1403, a novel c-mesenchymal-epithelial transition factor (c-Met) antibody-drug conjugate, overcomes AZD9291 resistance in non-small cell lung cancer cells overexpressing c-Met.

Mengya Tong, Mingzhao Gao, Yongping Xu, Li Fu, Yun Li, Xubin Bao, Haoyu Fu, Haitian Quan, Liguang Lou

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Resistance to antibody-drug conjugates: A review.Acta pharmaceutica Sinica. B · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. [Research Progress of Antibody-drug Conjugates in Advanced Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

9 authors at 1 institution in 1 country.

Mengya TongShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Mingzhao GaoShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Yongping XuShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Li FuShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Yun LiShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Xubin BaoShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Haoyu FuShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Haitian QuanShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Liguang LouShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0001-7396-7122
Chinese Academy of Sciences · CN

Funding

Science and Technology Commission of Shanghai Municipality 18DZ2293200Yunnan Province Sciences and Technology plan 2017ZF010
6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) have been used as the first-line treatment of non-small cell lung cancers (NSCLC) harboring EGFR-activating mutations, but acquired resistance is ubiquitous and needs to be solved urgently. Here, we introduce an effective approach for overcoming resistance to the EGFR-TKI, AZD9291, in NSCLC cells using SHR-A1403, a novel c-mesenchymal-epithelial transition factor (c-Met)-targeting antibody-drug conjugate (ADC) consisting of an anti-c-Met monoclonal antibody (c-Met mAb) conjugated to a microtubule inhibitor. Resistant cells were established by exposing HCC827 to increasing concentrations of EGFR-TKI. c-Met was found to be overexpressed in most resistant cells. AZD9291 resistance was partially restored by combination of AZD9291 and crizotinib only in resistant cells overexpressing phospho-c-Met, which synergistically inhibited c-Met-mediated phosphorylation of the downstream targets ERK1/2 and AKT. In resistant cells overexpressing c-Met, neither crizotinib nor c-Met mAb was able to overcome AZD9291 resistance. In contrast, SHR-A1403 strongly inhibited proliferation of AZD9291-resistant HCC827 overexpressing c-Met, regardless of the levels of c-Met phosphorylation. SHR-A1403 bound to resistant cells overexpressing c-Met was internalized into cells and released associated microtubule inhibitor, resulting in cell-killing activity that was dependent on c-Met expression levels only, irrespective of the involvement of c-Met or EGFR signaling in AZD9291 resistance. Consistent with its activity in vitro, SHR-A1403 significantly inhibited the growth of AZD9291-resistant HCC827 tumors and caused tumor regression in vivo. Thus, our findings show that SHR-A1403 efficiently overcomes AZD9291 resistance in cells overexpressing c-Met, and further indicate that c-Met expression level is a biomarker predictive of SHR-A1403 efficacy.

Indexed as

Drug Resistance, NeoplasmEpithelial-Mesenchymal TransitionAcrylamidesAniline CompoundsAnimalsAntibodiesAntibodies, MonoclonalAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsFemaleHumansImmunoconjugatesIndolesLung NeoplasmsAcrylamidesAniline CompoundsAntibodiesAntibodies, MonoclonalAntineoplastic AgentsErbB ReceptorsImmunoconjugatesIndolesosimertinibProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyrimidinesSHR-A1403AZD9291c-Met ADCc-Met overexpressionresistanceSHR-A1403

Identifiers

PMID31446643
PMCPMC6825016
OpenAlexW2969941297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.