Evidence map›Paper›PMID 31416135›Full record

ArticleCells2019

Low Dose of Paclitaxel Combined with XAV939 Attenuates Metastasis, Angiogenesis and Growth in Breast Cancer by Suppressing Wnt Signaling.

Dattatrya Shetti, Bao Zhang, Conghui Fan, Canlong Mo, Bae Hoon Lee, Kun Wei

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. CEP55: Implications for Immunotherapy and Survival in Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 2025
    Article
  9. Article
  10. Article
  11. Wnt signaling and tumors (Review).Molecular and clinical oncology · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Dattatrya ShettiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0001-8638-804X
Bao ZhangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Conghui FanSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Canlong MoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Bae Hoon LeeWenzhou Institute of Biomaterials and Engineering, University of CAS, Wenzhou 325011, China. bhlee@wibe.ac.cn.ORCID 0000-0002-7222-0008
Kun WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China. weikun@scut.edu.
South China University of Technology · CNWenzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) accounts for 15% of overall breast cancer. A lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2 receptor) makes TNBC more aggressive and metastatic. Wnt signaling is one of the important pathways in the cellular process; in TNBC it is aberrantly regulated, which leads to the progression and metastasis. In this study, we designed a therapeutic strategy using a combination of a low dose of paclitaxel and a Wnt signaling inhibitor (XAV939), and examined the effect of the paclitaxel-combined XAV939 treatment on diverse breast cancer lines including TNBC cell lines (MDA-MB-231, MDA-MB-468, and BT549) and ER+ve cell lines (MCF-7 and T-47D). The combination treatment of paclitaxel (20 nM) and XAV939 (10 µM) exerted a comparable therapeutic effect on MDA-MB-231, MDA-MB-468, BT549, MCF-7, and T-47D cell lines, relative to paclitaxel with a high dose (200 nM). The paclitaxel-combined XAV939 treatment induced apoptosis by suppressing Bcl-2 and by increasing the cleavage of caspases-3 and PARP. In addition, the in vivo results of the paclitaxel-combined XAV939 treatment in a mice model with the MDA-MB-231 xenograft further confirmed its therapeutic effect. Furthermore, the paclitaxel-combined XAV939 treatment reduced the expression of β-catenin, a key molecule in the Wnt pathway, which led to suppression of the expression of epithelial-mesenchymal transition (EMT) markers and angiogenic proteins both at mRNA and protein levels. The expression level of E-cadherin was raised, which potentially indicates the inhibition of EMT. Importantly, the breast tumor induced by pristane was significantly reduced by the paclitaxel-combined XAV939 treatment. Overall, the paclitaxel-combined XAV939 regimen was found to induce apoptosis and to inhibit Wnt signaling, resulting in the suppression of EMT and angiogenesis. For the first time, we report that our combination approach using a low dose of paclitaxel and XAV939 could be conducive to treating TNBC and an external carcinogen-induced breast cancer.

Indexed as

AnimalsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsApoptosisCarcinogenesisCell Line, TumorCell MovementEpithelial-Mesenchymal TransitionFemaleHeterocyclic Compounds, 3-RingHumansMiceMice, Inbred BALB CNeoplasm MetastasisNeovascularization, PathologicPaclitaxelAntineoplastic AgentsHeterocyclic Compounds, 3-RingPaclitaxelXAV939angiogenesisapoptosisbreast cancercombination treatmentEMTpristaneWnt signalingXAV939

Identifiers

PMID31416135
PMCPMC6721645
OpenAlexW2967511315

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.