Evidence map›Paper›PMID 31867841›Full record

ArticleMolecular genetics & genomic medicine2020

Monitoring treatment efficacy and resistance in breast cancer patients via circulating tumor DNA genomic profiling.

Zhanhong Chen, Tian Sun, Ziyan Yang, Yabing Zheng, Ruoying Yu, Xue Wu, Junrong Yan, Yang W Shao, Xiying Shao, Wenming Cao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

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  4. Personalized treatment approach for HER2-positive metastatic breast cancer.Medical oncology (Northwood, London, England) · 2024
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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

11 authors at 3 institutions in 1 country.

Zhanhong ChenDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0000-0003-1802-6375
Tian SunTranslational Medicine Research Institute, Geneseeq Technology Inc, Toronto, Ontario, Canada.ORCID 0000-0002-5991-0477
Ziyan YangThe Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, China.ORCID 0000-0002-5390-1991
Yabing ZhengDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0000-0002-4835-4399
Ruoying YuTranslational Medicine Research Institute, Geneseeq Technology Inc, Toronto, Ontario, Canada.ORCID 0000-0003-1560-239X
Xue WuTranslational Medicine Research Institute, Geneseeq Technology Inc, Toronto, Ontario, Canada.ORCID 0000-0002-5567-1325
Junrong YanNanjing Geneseeq Technology Inc., Nanjing, China.ORCID 0000-0001-9750-7518
Yang W ShaoNanjing Geneseeq Technology Inc., Nanjing, China.ORCID 0000-0003-4585-1792
Xiying ShaoDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0000-0003-3547-3628
Wenming CaoDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0000-0002-5644-3156
Xiaojia WangDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0000-0002-7005-0842
Zhejiang Cancer Hospital · CNNanjing Medical University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the major challenges in managing invasive breast cancer (BC) is the lack of reliable biomarkers to track response. Circulating tumor DNA (ctDNA) from liquid biopsy, as a candidate biomarker, provides a valuable assessment of BC patients. In this retrospective study, we evaluated the utility of ctDNA to reflect the efficacy of treatment and to monitor resistance mechanisms.

methodsTargeted next-generation sequencing (NGS) of 416 cancer-relevant genes was performed on 41 plasma biopsy samples of 19 HER2+ and 12 HER2- BC patients. Longitudinal ctDNA samples were analyzed in three BC patients over the treatment course for detecting acquired mutations.

resultsIn HER2+ BC patients, ERBB2 somatic copy numbers in ctDNA samples were significantly higher in patients progressed on HER2-targeted therapy than those who were still responding to the treatment. Recurrent acquired mutations were detected in genes including ERBB2, TP53, EGFR, NF1, and SETD2, which may contribute to trastuzumab resistance. In longitudinal analyses, the observed mutation allele frequencies were tracked closely in concordance with treatment responses. A novel ERBB2 p.(Leu869Arg) mutation was acquired in one patient upon resistant to trastuzumab therapy, which was further validated as an oncogenic mutation in vitro and contributed to resistance. In HER2- BC patients with chemotherapy resistance, genetic alterations on TP53, PIK3CA, and DNA damage repair genes were frequently observed.

conclusionsIn summary, ctDNA monitoring, particularly longitudinal analyses, provides valuable insights into the assessment of targeted therapy efficacy and gene alterations underlying trastuzumab resistance and chemotherapy resistance in HER2+ and HER2- BC patients, respectively.

Indexed as

Drug Resistance, NeoplasmAdultAntineoplastic Agents, ImmunologicalBiomarkers, TumorBreast NeoplasmsCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesErbB ReceptorsFemaleHistone-Lysine N-MethyltransferaseHumansMutationNeurofibromin 1TrastuzumabTumor Suppressor Protein p53Antineoplastic Agents, ImmunologicalBiomarkers, TumorCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHistone-Lysine N-MethyltransferaseNeurofibromin 1NF1 protein, humanPIK3CA protein, humanSETD2 protein, humanTP53 protein, humanTrastuzumabTumor Suppressor Protein p53breast cancerchemotherapyctDNAdrug resistanceERBB2trastuzumab

Identifiers

PMID31867841
PMCPMC7005625
OpenAlexW2995032339

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.