Evidence map›Paper›PMID 38136319›Full record

ArticleCancers2023

A Novel Metastatic Estrogen Receptor-Expressing Breast Cancer Model with Antiestrogen Responsiveness.

Kendall L Langsten, Lihong Shi, Adam S Wilson, Salvatore Lumia, Brian Westwood, Alexandra M Skeen, Maria T Xie, Victoria E Surratt, JoLyn Turner, Carl D Langefeld and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

13 authors at 2 institutions in 1 country.

Kendall L LangstenDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Lihong ShiDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Adam S WilsonDepartment of Surgery, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Salvatore LumiaDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Brian WestwoodDepartment of Surgery, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Alexandra M SkeenDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Maria T XieDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Victoria E SurrattDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
JoLyn TurnerDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Carl D LangefeldDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Ravi SinghDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.ORCID 0000-0003-0750-1804
Katherine L CookDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.ORCID 0000-0001-6241-0214
Bethany A KerrDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.ORCID 0000-0002-2995-7549
Wake Forest University · USAtrium Health Wake Forest Baptist · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Laboratory Animal & Comparative Medicine TrainingT32OD010957 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI J. MARK CLINE · 2012 to 2026
$4.3M
Development of a novel therapeutic agent that exploits specific vulnerabilities in claudin low breast cancerR01CA207222 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SINGH, RAVI N · 2017 to 2021
$1.7M
NCATS NIH HHS UL1 TR001420NCI NIH HHS P30 CA012197NCI NIH HHS R01 CA207222NIH HHS T32 OD010957ODCDC CDC HHS T32 OD010957
6 · The paper itself

Abstract

Most women diagnosed with breast cancer (BC) have estrogen receptor alpha-positive (ER+) disease. The current mouse models of ER+ BC often rely on exogenous estrogen to encourage metastasis, which modifies the immune system and the function of some tissues like bone. Other studies use genetically modified or immunocompromised mouse strains, which do not accurately replicate the clinical disease. To create a model of antiestrogen responsive BC with spontaneous metastasis, we developed a mouse model of 4T1.2 triple-negative (TN) breast cancer with virally transduced ER expression that metastasizes spontaneously without exogenous estrogen stimulation and is responsive to antiestrogen drugs. Our mouse model exhibited upregulated ER-responsive genes and multi-organ metastasis without exogenous estrogen administration. Additionally, we developed a second TN BC cell line, E0771/bone, to express ER, and while it expressed ER-responsive genes, it lacked spontaneous metastasis to clinically important tissues. Following antiestrogen treatment (tamoxifen, ICI 182,780, or vehicle control), 4T1.2- and E0771/bone-derived tumor volumes and weights were significantly decreased, exemplifying antiestrogen responsivity in both cell lines. This 4T1.2 tumor model, which expresses the estrogen receptor, metastasizes spontaneously, and responds to antiestrogen treatment, will allow for further investigation into the biology and potential treatment of metastasis.

Indexed as

antiestrogen treatmentbone metastasisestrogen receptor alphametastasis

Identifiers

PMID38136319
PMCPMC10742098
OpenAlexW4389546020

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.