Evidence map›Paper›PMID 39330049›Full record

ArticleCurrent oncology (Toronto, Ont.)2024

A Preliminary Analysis of Circulating Tumor Microemboli from Breast Cancer Patients during Follow-Up Visits.

Hung-Chih Lai, Hsing-Hua Huang, Yun-Jie Hao, Hsin-Ling Lee, Chiao-Chan Wang, Thai-Yen Ling, Jen-Kuei Wu, Fan-Gang Tseng

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Hung-Chih LaiDivision of Hematology and Oncology, Department of Internal Medicine, Shin-Kong Wu Ho-Su Memorial Hospital, Taipei 11101, Taiwan.
Hsing-Hua HuangDivision of Breast Surgery Clinic, En Chu Kong Hospital, No. 258, Zhongshan Rd., Sanxia Dist., New Taipei City 237, Taiwan.
Yun-Jie HaoDepartment of Engineering and System Science, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan.
Hsin-Ling LeeDepartment of Engineering and System Science, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan.
Chiao-Chan WangDepartment of Engineering and System Science, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan.
Thai-Yen LingGraduate Institute of Pharmacology, National Taiwan University, No. 33, Linsen S. Rd., Zhongzheng Dist., Taipei City 100025, Taiwan.
Jen-Kuei WuDepartment of Engineering and System Science, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan.
Fan-Gang TsengDepartment of Engineering and System Science, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan.ORCID 0000-0001-7654-6905

Funding

National Science and Technology Council MOST 110-2221-E-007 -017 -MY3National Tsing Hua University Research Grants 112F7MACE1National Tsing Hua University Research Grants 112Q2704E1Shin Kong Wu Ho-Su Memorial Hospital 2018SKHADR006Shin Kong Wu Ho-Su Memorial Hospital 2020SKHADR009the Ministry of Education, Taiwan MOE111QR001I5
6 · The paper itself

Abstract

backgroundMost breast cancer-related deaths are caused by distant metastases and drug resistance. It is important to find appropriate biomarkers to monitor the disease and to predict patient responses after treatment early and accurately. Many studies have found that clustered circulating tumor cells, with more correlations with metastatic cancer and poor survival of patients than individual ones, are promising biomarkers.

methodsEighty samples from eleven patients with breast cancer during follow-up visits were examined. By using a microfluidic chip and imaging system, the number of circulating tumor cells and microemboli (CTC/CTM) were counted to assess the distribution in stratified patients and the potential in predicting the disease condition of patients after treatments during follow-up visits. Specific components and subtypes of CTM were also preliminarily investigated.

resultsCompared to CTC, CTM displayed a distinguishable distribution in stratified patients, having a better AUC value, in predicting the disease progression of breast cancer patients during follow-up visits in this study. Four subtypes were categorized from the identified CTM by considering different components. In combination with CEA and CA153, enumerated CTC and CTM from individual patients were applied to monitor the disease condition and patient response to the therapy during follow-up visits.

conclusionsThe CTM and its subtypes are promising biomarkers and valuable tools for studying cancer metastasis and longitudinally monitoring cancer patients during follow-up visits.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplastic Cells, CirculatingAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedBiomarkers, Tumorbreast cancercirculating tumor cells (CTC)circulating tumor microemboli (CTM)liquid biopsy biomarkertumor immune microenvironment

Identifiers

PMID39330049
PMCPMC11431662

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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.