Evidence map›Paper›PMID 31443698›Full record

ArticleBMC cancer2019

Prognostic value of biomarkers EpCAM and αB-crystallin associated with lymphatic metastasis in breast cancer by iTRAQ analysis.

Liang Zeng, Xiyun Deng, Jingmin Zhong, Li Yuan, Xiaojun Tao, Sai Zhang, Yong Zeng, Guangchun He, Pingping Tan, Yongguang Tao

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  11. Article
  12. Article
  13. Article
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

10 authors at 4 institutions in 3 countries.

Liang ZengDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiyun DengKey Laboratory of Translational Cancer Stem Cell Research, Hunan Normal University, Changsha, Hunan, China. dengxiyunmed@hunnu.edu.cn.ORCID http://orcid.org/0000-0003-2203-970X
Jingmin ZhongDepartment of Pathology, Union Hospital, Tongji Medical College, HuaZhong University of Science and Technology, WuHan, China.
Li YuanDepartment of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaojun TaoDepartment of Pharmacy, Hunan Normal University School of Medicine, Changsha, Hunan, China.
Sai ZhangDepartment of Oncology, Institute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yong ZengCollege of Life Science, Hunan Normal University, Changsha, Hunan, China.
Guangchun HeKey Laboratory of Translational Cancer Stem Cell Research, Hunan Normal University, Changsha, Hunan, China.
Pingping TanDepartment of Pathology, Hunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Yongguang TaoKey Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Key Laboratory of Carcinogenesis, Ministry of Health, Cancer Research Institute, Xiangya Hospital, Central South University, Changsha, Hunan, China. taoyong@csu.edu.cn.ORCID http://orcid.org/0000-0003-2354-5321
Hunan Normal University · CNCentral South University · CNGuangzhou Medical University · CNUnion Hospital · CN

Funding

Hunan Province Science and Technology Projec 2014FJ6090
6 · The paper itself

Abstract

backgroundMetastasis is responsible for the majority of deaths in a variety of cancer types, including breast cancer. Although several factors or biomarkers have been identified to predict the outcome of patients with breast cancer, few studies have been conducted to identify metastasis-associated biomarkers.

methodsQuantitative iTRAQ proteomics analysis was used to detect differentially expressed proteins between lymph node metastases and their paired primary tumor tissues from 23 patients with metastatic breast cancer. Immunohistochemistry was performed to validate the expression of two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins in 190 paraffin-embedded tissue samples. These four proteins were further analyzed for their correlation with clinicopathological features in 190 breast cancer patients.

resultsWe identified 637 differentially regulated proteins (397 upregulated and 240 downregulated) in lymph node metastases compared with their paired primary tumor tissues. Data are available via ProteomeXchange with identifier PXD013931. Furthermore, bioinformatics analysis using GEO profiling confirmed the difference in the expression of EpCAM between metastases and primary tumors tissues. Two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins were associated with the progression of breast cancer. Obviously, EpCAM plays a role in the metastasis of breast cancer cells to the lymph node. We further identified αB-crystallin as an independent biomarker to predict lymph node metastasis and the outcome of breast cancer patients.

conclusionWe have identified that EpCAM plays a role in the metastasis of breast cancer cells to the lymph node. αB-crystallin, a stress-related protein that has recently been shown to be important for cell invasion and survival, was identified as a potential prognostic biomarker to predict the outcome of breast cancer patients.

Indexed as

Biomarkers, Tumoralpha-Crystallin B ChainBreast NeoplasmsComputational BiologyEpithelial Cell Adhesion MoleculeFemaleHumansImmunohistochemistryKaplan-Meier EstimateNeoplasm MetastasisNeoplasm StagingProportional Hazards ModelsProteomeProteomicsalpha-Crystallin B ChainBiomarkers, TumorEPCAM protein, humanEpithelial Cell Adhesion MoleculeProteomeBiomarkerBreast cancerEpCAMFADDiTRAQ proteomic analysisMetastasisNDRG1αB-crystallin

Identifiers

PMID31443698
PMCPMC6708189
OpenAlexW2969351885

What Socratic holds

Textmetadata
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 Socratic graph.