Evidence map›Paper›PMID 37344660›Full record

ArticleBreast cancer research and treatment2023

Plasma cell-free tumor DNA, PIK3CA and TP53 mutations predicted inferior endocrine-based treatment outcome in endocrine receptor-positive metastatic breast cancer.

Tom Wei-Wu Chen, Wen Hsiao, Ming-Shen Dai, Ching-Hung Lin, Dwan-Ying Chang, I-Chun Chen, Ming-Yang Wang, Shu-Han Chang, Shu-Min Huang, Ann-Lii Cheng and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 4 institutions in 1 country.

Tom Wei-Wu ChenDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Wen HsiaoACT Genomics Co., Ltd, Taipei, Taiwan.
Ming-Shen DaiDivision of Hematology and Oncology, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan.
Ching-Hung LinDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Dwan-Ying ChangDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
I-Chun ChenDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Ming-Yang WangDepartment of Surgery, National Taiwan University Cancer Center, Taipei, Taiwan.
Shu-Han ChangDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Shu-Min HuangDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Ann-Lii ChengDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Ko-Wen WuACT Genomics Co., Ltd, Taipei, Taiwan.
Kien Thiam Tan *ACT Genomics Co., Ltd, Taipei, Taiwan. jtchen@actgenomics.com.
Yen-Shen Lu *Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan. yslu@ntu.edu.tw.ORCID http://orcid.org/0000-0001-7461-1291
National Taiwan University · TWGenomics Research Center, Academia Sinica · TWNational Taiwan University Hospital · TWTri-Service General Hospital · TW

Funding

Health Promotion Administration, Ministry of Health and Welfare MOHW107-TDU-B-211-114017Health Promotion Administration, Ministry of Health and Welfare MOHW108-TDU- B-211-124017Health Promotion Administration, Ministry of Health and Welfare MOHW109-TDU-B-211- 134017Health Promotion Administration, Ministry of Health and Welfare MOHW110-TDU-B-211-144017
6 · The paper itself

Abstract

purposeHow to factor both tumor burden and oncogenic genomic mutations as variables to predict the outcome of endocrine-based therapy (ET) in ER-positive/HER2-negative metastatic breast cancer patients (MBC) remains to be explored.

methodBlood samples prospectively collected from 163 ER-positive/HER2-negative female MBC patients, before ET, were used for cell-free tumor DNA (cfDNA) analysis. cfDNA was subjected to next-generation sequencing (NGS) to interrogate oncogenic PIK3CA hotspot and TP53 DNA-binding domain (DBD) mutations, including single nucleotide variants (SNVs) or small insertions and deletions (InDels). The variant calling threshold was set at 0.5%. Progression-free survival (PFS) was measured from the start of the ET treatment to the time of disease progression of the same treatment regimen.

resultsOverall, the median PFS was 8.3 months (95% CI 5.7-11.1 months). The median cfDNA was 38.5 ng (range 4.4-1935 ng). The proportion of patients with PIK3CA and TP53 alterations were 25.1 and 15.3%, respectively. Patients with high total cfDNA (HR 1.74, p = 0.003), PIK3CA mutation (HR 1.74, p = 0.007), and TP53 mutation (HR 1.64, p = 0.047) in liquid biopsy conferred worse outcome after ET. Even for patients with low tumor burden, the detrimental effect of PIK3CA or TP53 mutation remained significant (p < 0.001). For patients with either PIK3CA (p < 0.001) or TP53 mutation (p = 0.004), there was significant positive correlation between allele frequency (AF) and total cfDNA.

conclusionAfter adjustment of cfDNA level, PIK3CA and TP53 mutations observed in liquid biopsy exerted detrimental effects on the outcome of ET-based regimens. The AF of PIK3CA or TP53 may be a surrogate marker for PFS.

Indexed as

Breast NeoplasmsCell-Free Nucleic AcidsCirculating Tumor DNABiomarkers, TumorClass I Phosphatidylinositol 3-KinasesFemaleHumansMutationTreatment OutcomeTumor Suppressor Protein p53Biomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanTP53 protein, humanTumor Suppressor Protein p53Breast cancerCell-free tumor DNAEndocrine receptorLiquid biopsy

Identifiers

PMID37344660
PMCPMC10460702
OpenAlexW4381548623

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Registered trials

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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.