Evidence map›Paper›PMID 29142206›Full record

ArticleScientific reports2017

EGFR conjunct FSCN1 as a Novel Therapeutic Strategy in Triple-Negative Breast Cancer.

Chao-Qun Wang, Yang Li, Bi-Fei Huang, Yong-Ming Zhao, Hui Yuan, Dongfang Guo, Chen-Ming Su, Gui-Nv Hu, Qian Wang, Tengyun Long and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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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 6 institutions in 2 countries.

Chao-Qun WangDepartment of Pathology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Yang LiHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, 230027, Hefei, Anhui, China.
Bi-Fei HuangDepartment of Pathology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Yong-Ming ZhaoDepartment of Surgical Oncology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Hui YuanHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, 230027, Hefei, Anhui, China.
Dongfang GuoHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, 230027, Hefei, Anhui, China.
Chen-Ming SuLaboratory of Biomedicine, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Gui-Nv HuDepartment of Surgical Oncology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Qian WangDepartment of Pathology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Tengyun LongDepartment of Surgery, Anhui Medical University, 230027, Hefei, Anhui, China.
Yan WangDepartment of Medical Oncology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, Zhejiang, China.
Chih-Hsin TangGraduate Institute of Basic Medical Science, China Medical University, 40402, Taichung, Taiwan.
Xiaoni LiHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, 230027, Hefei, Anhui, China. XIL183@pitt.edu.
Dongyang People's Hospital · CNUniversity of Science and Technology of China · CNWenzhou Medical University · CNAnhui Medical University · CNChina Medical University · TWHefei National Center for Physical Sciences at Nanoscale · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence indicates that Fascin-1 (FSCN1) may possess a causal role in the development of several types of cancers and serves as a novel biomarker of aggressiveness in certain carcinomas. However, the regulatory mechanism of FSCN1 in triple-negative breast cancer (TNBC) cell invasion and migration is still largely unknown. In our study, we observed that the FSCN1 expression rates were significantly higher in invasive ductal carcinoma, compared with both usual ductal hyperplasia and ductal carcinoma in situ. FSCN1 expression was significantly higher in cases of TNBC compared with the non-TNBC subtype. Overexpression of FSCN1 promoted TNBC cell migration and invasion. Epidermal growth factor induced the expression of FSCN1 through activation of MAPK, which subsequently promoted cell migration and invasion. A significant decrease in FSCN1 expression following the co-treatment of FSCN1 siRNA and Gefitinib, compared with the separate treatment of FSCN1 siRNA or Gefitinib. Furthermore, we found that there was a significant association between FSCN1 expression and poor relapse-free survival and overall survival. Therefore, we suggest that co-targeting epidermal growth factor receptor and FSCN1 dual biomarker may be used as a novel therapeutic strategy for TNBC.

Indexed as

Molecular Targeted TherapyAdultAgedBiomarkers, TumorCarcinoma, Ductal, BreastCarrier ProteinsCell MovementCell ProliferationErbB ReceptorsFemaleGefitinibGene Expression Regulation, NeoplasticHumansMicrofilament ProteinsMiddle AgedNeoplasm Recurrence, LocalBiomarkers, TumorCarrier ProteinsEGFR protein, humanErbB ReceptorsFSCN1 protein, humanGefitinibMicrofilament Proteins

Identifiers

PMID29142206
PMCPMC5688137
OpenAlexW2767754396

What OpenQuestion 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 OpenQuestion graph.