Evidence map›Paper›PMID 30606259›Full record

Trial reportCancer communications (London, England)2019

The prognostic and therapeutic implications of circulating tumor cell phenotype detection based on epithelial-mesenchymal transition markers in the first-line chemotherapy of HER2-negative metastatic breast cancer.

Xiuwen Guan, Fei Ma, Chunxiao Li, Shiyang Wu, Shangying Hu, Jiefen Huang, Xiaoying Sun, Jiayu Wang, Yang Luo, Ruigang Cai and 6 more

Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Cancer communications (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01917279 (A Randomized Phase III Study of Metronomic vs. Intermittent Capecitabine Maintenance Therapy Following First-line Capecitabine and Docetaxel Therapy in HER2-negative Metastatic Breast Cancer), which is not on this map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% 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.

NCT01917279 phase3unknown statusnot on this map

A Randomized Phase III Study of Metronomic vs. Intermittent Capecitabine Maintenance Therapy Following First-line Capecitabine and Docetaxel Therapy in HER2-negative Metastatic Breast Cancer

TypeinterventionalSponsorBinghe XuRan2013 to 2021Enrolled280ConditionsBreast Neoplasms, Neoplasms by Site, Neoplasm Metastasis, Breast DiseasesArmsDocetaxel plus Capecitabine, Intermittent Capecitabine, Metronomic Capecitabine
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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

16 authors at 3 institutions in 2 countries.

Xiuwen GuanDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Fei MaDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China. drmafei@126.com.
Chunxiao LiState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.
Shiyang WuSurExam Bio-Tech, Guangzhou Technology Innovation Base, Science City, Guangzhou, 510000, Guangdong, P. R. China.
Shangying HuDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, P. R. China.
Jiefen HuangSurExam Bio-Tech, Guangzhou Technology Innovation Base, Science City, Guangzhou, 510000, Guangdong, P. R. China.
Xiaoying SunDepartment of Medical Oncology, Huanxing Cancer Hospital, Beijing, 100021, P. R. China.
Jiayu WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Yang LuoDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Ruigang CaiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Ying FanDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Qiao LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Shanshan ChenDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Pin ZhangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Qing LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China.
Binghe XuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, P. R. China. binghxu@gmail.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNIDEXX Laboratories (France) · FRCancer Hospital of Huanxing Chaoyang District Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpithelial-mesenchymal transition (EMT) is implicated in the metastatic process and presents a challenge to epithelial cell adhesion molecule-based detection of circulating tumor cells (CTCs), which have been demonstrated to be a prognostic indicator in metastatic breast cancer. Although evidence has indicated that heterogeneity of CTCs based on EMT markers is associated with disease progression, no standard recommendations have been established for clinical practice. This study aimed to evaluate the prognostic significance of dynamic CTC detection based on EMT for metastatic breast cancer patients.

methodsWe enrolled 108 human epidermal growth factor receptor 2-negative metastatic breast cancer patients from the prospective phase III CAMELLIA study and applied the CanPatrol CTC enrichment technique to identify CTC phenotypes (including epithelial CTCs, biphenotypic epithelial/mesenchymal CTCs, and mesenchymal CTCs) in peripheral blood samples. Receiver operating characteristic curve analyses of total CTC count and the proportion of mesenchymal CTCs for predicting the 1-year progression-free survival (PFS) rate were conducted to determine the optimal cut-off values, and Kaplan-Meier analysis and Cox proportional hazards regression analysis were performed to investigate the prognostic value of the cut-off values of both total CTC count and the proportion of mesenchymal CTCs in combination.

resultsFor predicting the 1-year PFS rate, the optimal cut-off value of total CTC count was 9.5 (Area under the curve [AUC] = 0.538, 95% confidence interval [CI] = 0.418-0.657), and that of the proportion of mesenchymal CTCs was 10.7% (AUC = 0.581, 95% CI = 0.463-0.699). We used the two cut-off values in combination to forecast PFS in which the total CTC count was equaled to or exceeded 10/5 mL with the proportion of mesenchymal CTCs surpassed 10.7%. Patients who met the combined criteria had significantly shorter median PFS than did those who did not meet the criteria (6.2 vs. 9.9 months, P =0.010). A nomogram was constructed based on the criteria and significant clinicopathological characteristics with a C-index of 0.613 (P = 0.010).

conclusionsThe criteria, which combine the total CTC count and the proportion of mesenchymal CTCs, may be used to monitor therapeutic resistance and predict prognosis in patients with metastatic breast cancer. Trial registration ClinicalTrials.gov. NCT01917279. Registered on 19 July 2013, https://clinicaltrials.gov/ct2/show/NCT01917279?term=NCT01917279&rank=1 .

Indexed as

Epithelial-Mesenchymal TransitionNeoplastic Cells, CirculatingAdultAgedAntigens, NeoplasmAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsCapecitabineCarcinoembryonic AntigenCell CountDocetaxelErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateAntigens, NeoplasmAntineoplastic AgentsBiomarkers, TumorCA153 protein, humanCapecitabineCarcinoembryonic AntigenDocetaxelERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBreast cancerCirculating tumor cellsEpithelial–mesenchymal transitionPrognosisTherapeutic implication

Identifiers

PMID30606259
PMCPMC6319003
OpenAlexW2918494696

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.