Evidence map›Paper›PMID 37897495›Full record

ArticleEndocrinology2023

Unraveling Vulnerabilities in Endocrine Therapy-Resistant HER2+/ER+ Breast Cancer.

Shaymaa Bahnassy, Hillary Stires, Lu Jin, Stanley Tam, Dua Mobin, Manasi Balachandran, Mircea Podar, Matthew D McCoy, Robert A Beckman, Rebecca B Riggins

Open access · greenAbstract read
In one paragraph

Article in Endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Shaymaa BahnassyDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0000-0001-9882-4195
Hillary StiresFriends of Cancer Research, Washington, DC 20036, USA.ORCID 0000-0002-0177-2024
Lu JinDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Stanley TamDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0000-0002-9338-436X
Dua MobinDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Manasi BalachandranDepartment of Medicine, University of Tennessee Medical Center, Knoxville, TN 37920, USA.ORCID 0000-0002-9804-7426
Mircea PodarOak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID 0000-0003-2776-0205
Matthew D McCoyDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Robert A BeckmanDepartment of Oncology and of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC 20007, USA.
Rebecca B RigginsDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0000-0002-1555-4431
Georgetown University · USFriends of Cancer Research · USOak Ridge National Laboratory · USUniversity of Tennessee Medical Center · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
NCI NIH HHS P30 CA051008NCI NIH HHS T32 CA009686
6 · The paper itself

Abstract

Breast tumors overexpressing human epidermal growth factor receptor (HER2) confer intrinsic resistance to endocrine therapy (ET), and patients with HER2/estrogen receptor-positive (HER2+/ER+) breast cancer (BCa) are less responsive to ET than HER2-/ER+. However, real-world evidence reveals that a large subset of patients with HER2+/ER+ receive ET as monotherapy, positioning this treatment pattern as a clinical challenge. In the present study, we developed and characterized 2 in vitro models of ET-resistant (ETR) HER2+/ER+ BCa to identify possible therapeutic vulnerabilities. To mimic ETR to aromatase inhibitors (AIs), we developed 2 long-term estrogen deprivation (LTED) cell lines from BT-474 (BT474) and MDA-MB-361 (MM361). Growth assays, PAM50 subtyping, and genomic and transcriptomic analyses, followed by validation and functional studies, were used to identify targetable differences between ET-responsive parental and ETR-LTED HER2+/ER+ cells. Compared to their parental cells, MM361 LTEDs grew faster, lost ER, and increased HER2 expression, whereas BT474 LTEDs grew slower and maintained ER and HER2 expression. Both LTED variants had reduced responsiveness to fulvestrant. Whole-genome sequencing of aggressive MM361 LTEDs identified mutations in genes encoding transcription factors and chromatin modifiers. Single-cell RNA sequencing demonstrated a shift towards non-luminal phenotypes, and revealed metabolic remodeling of MM361 LTEDs, with upregulated lipid metabolism and ferroptosis-associated antioxidant genes, including GPX4. Combining a GPX4 inhibitor with anti-HER2 agents induced significant cell death in both MM361 and BT474 LTEDs. The BT474 and MM361 AI-resistant models capture distinct phenotypes of HER2+/ER+ BCa and identify altered lipid metabolism and ferroptosis remodeling as vulnerabilities of this type of ETR BCa.

Indexed as

Breast NeoplasmsAromatase InhibitorsCell Line, TumorDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesEstrogensFemaleFulvestrantHumansAromatase InhibitorsErb-b2 Receptor Tyrosine KinasesEstrogensFulvestrantbreast cancerendocrine resistanceHER2+/ER+human epidermal growth factor receptor 2

Identifiers

PMID37897495
PMCPMC10651073
OpenAlexW4388007234

What OpenQuestion holds

Textmetadata
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.