Evidence map›Paper›PMID 32957974›Full record

ArticleBMC medical genomics2020

Whole-exome sequencing reveals potential mechanisms of drug resistance to FGFR3-TACC3 targeted therapy and subsequent drug selection: towards a personalized medicine.

Zhou Tong, Cong Yan, Yu-An Dong, Ming Yao, Hangyu Zhang, Lulu Liu, Yi Zheng, Peng Zhao, Yimin Wang, Weijia Fang and 2 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  4. Heliyon · 2024
    Review
  5. 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 5 institutions in 1 country.

Zhou TongDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Cong YanDepartment of Medical Oncology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China.
Yu-An DongOrigiMed, Building 3, 115 Xinjun Huan Rd. Minghang, Shanghai, 201114, China.
Ming YaoOrigiMed, Building 3, 115 Xinjun Huan Rd. Minghang, Shanghai, 201114, China.
Hangyu ZhangDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Lulu LiuDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yi ZhengDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Peng ZhaoDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yimin WangDepartment of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Weijia FangDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Feifei ZhangShanghai LIDE Biotech Co.LTD, Shanghai, 201203, China.
Weiqin JiangDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. 1312028@zju.edu.cn.
First Affiliated Hospital Zhejiang University · CNUnimed Medical Institute · CNBlood Center of Zhejiang Province · CNViva Biotech (China) · CNZhejiang University · CN

Funding

National Natural Science Foundation of China 81472346Natural Science Foundation of Zhejiang Province LY15H050002
6 · The paper itself

Abstract

backgroundDrug resistance is a major obstacle to effective cancer therapy. In order to detect the change in tumor genomic states under drug selection pressure, we use next-generation sequencing technology to investigate the underlying potential mechanisms of drug resistance.

methodsIn our study, we presented a bladder cancer patient who had been a bona fide responder to first-line gemcitabine plus cisplatin regimen and second-line pazopanib (tyrosine kinase inhibitor (TKI) for FGFR3-TACC3 fusion) but finally had disease progression as an ideal case for showing genomic alteration during drug resistance. We applied whole-exome sequencing and ultra-deep target sequencing to the patient pre- and post- pazopanib resistance. Protein-protein interaction (PPI) network and Gene Ontology (GO) analyses were used to analysis protein interactions and genomic alterations. Patient-derived xenograft (PDX) model was built to test drug sensitivity.

resultsTwelve mutations scattered in 12 genes were identified by WES pre- pazopanib resistance, while 63 mutations in 50 genes arose post- pazopanib resistance. PPI network showed proteins from multiple epigenetic regulator families were involved post- pazopanib resistance, including subunits of chromatin remodeler SWI/SNF complex ARID1A/1B and SMARCA4, histone acetylation writers CREBBP, histone methylation writer NSD1 and erasers KDM6A/5A. GO enrichment analysis showed pazopanib resistance genes were prominently tagged for chromatin modification, transcription, as well as gland development, leaving genes with the best adaptive FGFR TKI-coping mechanisms. In addition, significantly elevated tumor mutational burden suggested possible utility of immunotherapy. Intriguingly, PDX model suggested that, sensitivity to original chemotherapy regimen (cisplatin) was restored in patient tumor post-pazopanib.

conclusionsEpigenetic regulation may play a role in acquired TKI resistance. Our study traced the complete tumor genomic variation course from chemo-resistant but TKI-sensitive to TKI-resistant but chemo-(re) sensitive, revealing the potential complex dynamic drug-driven mechanisms of resistance.

Indexed as

Drug Resistance, NeoplasmPrecision MedicineAnimalsBiomarkers, TumorExome SequencingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansIndazolesMiceMicrotubule-Associated ProteinsMiddle AgedMolecular Targeted TherapyMutationBiomarkers, TumorFGFR3 protein, humanIndazolesMicrotubule-Associated ProteinspazopanibProtein Kinase InhibitorsPyrimidinesReceptor, Fibroblast Growth Factor, Type 3SulfonamidesTACC3 protein, humanDrug resistanceEpigenetic regulationFGFR3-TACC3Whole-exome sequencing

Identifiers

PMID32957974
PMCPMC7507681
OpenAlexW3087425199

What OpenQuestion holds

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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.