Evidence map›Paper›PMID 31658702›Full record

ArticleCancers2019

Inhibition of TFF3 Enhances Sensitivity-and Overcomes Acquired Resistance-to Doxorubicin in Estrogen Receptor-Positive Mammary Carcinoma.

Han Ming Poh, Yi Shiou Chiou, Qing Yun Chong, Ru-Mei Chen, Kanchugarakoppal S Rangappa, Lan Ma, Tao Zhu, Alan Prem Kumar, Vijay Pandey, Basappa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-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, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Insights into the Structural and Proteomic Changes inAnimals : an open access journal from MDPI · 2025
    Article
  4. Doxorubicin-Induced Cardiotoxicity: A Comprehensive Update.Journal of cardiovascular development and disease · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

12 authors at 5 institutions in 3 countries.

Han Ming PohCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. han_ming89@hotmail.com.
Yi Shiou ChiouTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China. chiouyishiou@gmail.com.
Qing Yun ChongCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. qychong89@gmail.com.
Ru-Mei ChenCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. chenrumei@u.nus.edu.
Kanchugarakoppal S RangappaInstitution of Excellence, University of Mysore, Mysore 570005, India. rangappaks@yahoo.com.
Lan MaTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China. malan@sz.tsinghua.edu.cn.
Tao ZhuHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China. zhut@ustc.edu.cn.
Alan Prem KumarCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. csiapk@nus.edu.sg.ORCID 0000-0002-3754-5712
Vijay PandeyTsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China. vijaypandey7@hotmail.com.
BasappaDepartment of Studies in Organic Chemistry, University of Mysore, Mysore 570005, India. salundibasappa@gmail.com.
Soo-Chin LeeCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. csilsc@nus.edu.sg.
Peter E LobieCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore. pelobie@sz.tsinghua.edu.cn.
National University of Singapore · SGShenzhen Bay Laboratory · CNUniversity of Mysore · INTsinghua–Berkeley Shenzhen Institute · CNUniversity of Science and Technology of China · CN

Funding

National Medical Research Council of Singapore R-713-000-163-511Shenzhen Development and Reform Commission Subject Construction Project 1434
6 · The paper itself

Abstract

Dose-dependent toxicity and acquired resistance are two major challenges limiting the efficacious treatment of mammary carcinoma (MC) with doxorubicin. Herein, we investigated the function of Trefoil Factor 3 (TFF3) in the sensitivity and acquired resistance of estrogen receptor positive (ER+) MC cells to doxorubicin. Doxorubicin treatment of ER+MC cells increased TFF3 expression. The depletion of TFF3 by siRNA or inhibition with a small molecule TFF3 inhibitor (AMPC) synergistically enhanced the efficacy of doxorubicin in ER+MC through the suppression of doxorubicin-induced AKT activation and enhancement of doxorubicin-induced apoptosis. Elevated expression of TFF3 and increased activation of AKT were also observed using a model of acquired doxorubicin resistance in ER+MC cells. AMPC partially re-sensitized the doxorubicin resistant cells to doxorubicin-induced apoptosis. Indeed, doxorubicin resistant ER + MC cells exhibited increased sensitivity to AMPC as a single agent compared to doxorubicin sensitive cells. In vivo, AMPC attenuated growth of doxorubicin sensitive ER+MC xenografts whereas it produced regression of xenografts generated by doxorubicin resistant ER+MC cells. Hence, TFF3 inhibition may improve the efficacy and reduce required doses of doxorubicin in ER+MC. Moreover, inhibition of TFF3 may also be an effective therapeutic strategy to eradicate doxorubicin resistant ER+MC.

Indexed as

acquired resistanceapoptosisdose-dependent toxicitydoxorubicinmammary carcinomaPI3K/AKTtrefoil factor 3 (TFF3)

Identifiers

PMID31658702
PMCPMC6826976
OpenAlexW2979737692

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.