Evidence map›Paper›PMID 29467940›Full record

ArticleOncotarget2018

ZB716, a steroidal selective estrogen receptor degrader (SERD), is orally efficacious in blocking tumor growth in mouse xenograft models.

Shanchun Guo, Changde Zhang, Melyssa Bratton, Madhusoodanan Mottamal, Jiawang Liu, Peng Ma, Shilong Zheng, Qiu Zhong, Lin Yang, Thomas E Wiese and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  13. Proteolysis-targeting chimeras and their implications in breast cancer.Exploration of targeted anti-tumor therapy · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Antiestrogens in combination with immune checkpoint inhibitors in breast cancer immunotherapy.The Journal of steroid biochemistry and molecular biology · 2019
    Article
  18. Review
  19. Article
  20. 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

17 authors at 6 institutions in 3 countries.

Shanchun GuoDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Changde ZhangDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Melyssa BrattonRCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Madhusoodanan MottamalDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Jiawang LiuDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Peng MaRCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Shilong ZhengDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Qiu ZhongDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Lin YangCollege of Pharmacy Chongqing Medical and Pharmaceutical College, University Town, Chongqing, 401331, China.
Thomas E WieseRCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Yong WuDepartment of Internal Medicine, Charles Drew University, Los Angeles, CA 90059, USA.
Matthew J EllisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA.
Margarite MatossianSection of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Matthew E BurowSection of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Lucio MieleDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
René HoutmanNuclear Receptor Group, PamGene International, 5211HH Den Bosch, The Netherlands.
Guangdi WangDepartment of Chemistry, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Xavier University of Louisiana · USTulane University · USBaylor College of Medicine · USCharles R. Drew University of Medicine and Science · USLouisiana State University Health Sciences Center New Orleans · USPamGene (Netherlands) · NL

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

Advances in oral SERDs development so far have been confined to nonsteroidal molecules such as those containing a cinnamic acid moiety, which are in earlystage clinical evaluation. ZB716 was previously reported as an orally bioavailable SERD structurally analogous to fulvestrant. In this study, we examined the binding details of ZB716 to the estrogen receptor alpha (ERα) by computer modeling to reveal its interactions with the ligand binding domain as a steroidal molecule. We also found that ZB716 modulates ERα-coregulator interactions in nearly identical manner to fulvestrant. The ability of ZB716 to inhibit cell growth and downregulate ER expression in endocrine resistant, ERα mutant breast cancer cells was demonstrated. Moreover, in both the MCF-7 xenograft and a patient derived xenograft model, orally administered ZB716 showed superior efficacy in blocking tumor growth when compared to fulvestrant. Importantly, such enhanced efficacy of ZB716 was shown to be attributable to its markedly higher bioavailability, as evidenced in the final plasma and tumor tissue concentrations of ZB716 in mice where drug concentrations were found significantly higher than in the fulvestrant treatment group.

Indexed as

bioavailabilitybreast cancerestrogen receptor mutantsteroidal oral SERDY537S

Identifiers

PMID29467940
PMCPMC5805526
OpenAlexW2783520674

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.