Evidence map›Paper›PMID 31300482›Full record

ArticleThe oncologist2019

Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer.

Weige Tan, Gehao Liang, Xinhua Xie, Wenguo Jiang, Luyuan Tan, Andrew J Sanders, Zihao Liu, Yun Ling, Wenjing Zhong, Zhenluan Tian and 2 more

Abstract read
In one paragraph

Article in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. miRNAs in Cancer (Review of Literature).International journal of molecular sciences · 2022
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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

12 authors.

Weige TanBreast Surgery Department, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, People's Republic of China.
Gehao LiangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Xinhua XieSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wenguo JiangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Luyuan TanGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Andrew J SandersCardiff China Medical Research Collaborative, Cardiff University School of Medicine, Cardiff University, Heath Park, Cardiff, United Kingdom.
Zihao LiuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yun LingGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wenjing ZhongGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Zhenluan TianGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wanyi LinGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Chang GongGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China changgong282@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe molecular phenotype of circulating tumor cells (CTCs) was associated with clinical outcome of patients with breast cancer. CTCs isolated from patients with metastatic breast cancer (MBC) display a unique microRNA (miRNA) expression profile. The aim of this study was to enhance the prognostic accuracy of the CTC phenotype in patients with MBC, by incorporating miRNA into a combined prediction model. SUBJECTS, MATERIALS, AND

methodsCTCs were detected by CellSearch and enriched by magnetic cell sorting. miRNA deep sequencing and quantitative polymerase chain reaction were used to screen and verify potentially CTC-specific miRNA candidates. Patients with MBC were enrolled from two independent cohorts, and overall survival (OS) and chemotherapy response were analyzed.

resultsWe screened and identified that miR-106b was an upregulated molecule in patients with MBC with CTC ≥5/7.5 mL (

conclusionThe phenotypic assemblies of CTC incorporating miR-106b show enhanced prognostic accuracy of overall survival in patients with MBC. IMPLICATIONS FOR PRACTICE: In order to enhance the prognostic accuracy of the circulating tumor cell (CTC) phenotype in patients with metastatic breast cancer (MBC), this study screened and identified a CTC-specific microRNA (miRNA), miR-106b, as an upregulated molecule based on the comparison of miRNA profile between CTCs, primary tumors, and healthy blood donors. By incorporating miR-106b into a combined prediction model, the prognostic accuracy of the CTC phenotype for patients with MBC was greatly improved in both the training and validation cohorts. This work provides clinical evidence supporting the prognostic potential of CTC-specific miRNA for patients with MBC. These results indicate that developing CTC-specific miRNAs as new biomarkers will help to further optimize personalized therapy.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsCohort StudiesEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedNeoplastic Cells, CirculatingPrognosisSurvival AnalysisYoung AdultBiomarkers, TumorMicroRNAsBreast cancerCirculating tumor cellsMetastasisMicroRNAPrognosis

Identifiers

PMID31300482
PMCPMC6853100

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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.