Evidence map›Paper›PMID 25489079›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

HSP90 empowers evolution of resistance to hormonal therapy in human breast cancer models.

Luke Whitesell, Sandro Santagata, Marc L Mendillo, Nancy U Lin, David A Proia, Susan Lindquist

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

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  12. Potential Value of HSP90α in Prognosis of Triple-Negative Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2024
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10 more citing papers are in PubMed but not listed here.

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 5 institutions in 1 country.

Luke WhitesellWhitehead Institute for Biomedical Research, Cambridge, MA 02142; lindquist_admin@wi.mit.edu whitesell@wi.mit.edu.
Sandro SantagataWhitehead Institute for Biomedical Research, Cambridge, MA 02142; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115;
Marc L MendilloWhitehead Institute for Biomedical Research, Cambridge, MA 02142;
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215;
David A ProiaSynta Pharmaceuticals, Lexington, MA 02421;
Susan LindquistWhitehead Institute for Biomedical Research, Cambridge, MA 02142; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142; and Howard Hughes Medical Institute, Cambridge, MA 02142 lindquist_admin@wi.mit.edu whitesell@wi.mit.edu.
Massachusetts Institute of Technology · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · USHoward Hughes Medical Institute · USSynta Pharmaceuticals (United States) · US

Funding

Heat Shock Directed Drug Discovery For The Treatment Of GliomasK08NS064168 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI SANTAGATA, SANDRO · 2008 to 2012
$900k
Elucidating the stress response regulatory networks that enable malignancyK99CA175293 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI MENDILLO, MARC · 2013 to 2014
$230k
Howard Hughes Medical InstituteNCI NIH HHS K99 CA175293NCI NIH HHS K99CA175293NINDS NIH HHS K08 NS064168NINDS NIH HHS K08NS064168
6 · The paper itself

Abstract

The efficacy of hormonal therapies for advanced estrogen receptor-positive breast cancers is limited by the nearly inevitable development of acquired resistance. Efforts to block the emergence of resistance have met with limited success, largely because the mechanisms underlying it are so varied and complex. Here, we investigate a new strategy aimed at the very processes by which cancers evolve resistance. From yeast to vertebrates, heat shock protein 90 (HSP90) plays a unique role among molecular chaperones by promoting the evolution of heritable new traits. It does so by regulating the folding of a diverse portfolio of metastable client proteins, many of which mediate adaptive responses that allow organisms to adapt and thrive in the face of diverse challenges, including those posed by drugs. Guided by our previous work in pathogenic fungi, in which very modest HSP90 inhibition impairs resistance to mechanistically diverse antifungals, we examined the effect of similarly modest HSP90 inhibition on the emergence of resistance to antiestrogens in breast cancer models. Even though this degree of inhibition fell below the threshold for proteotoxic activation of the heat-shock response and had no overt anticancer activity on its own, it dramatically impaired the emergence of resistance to hormone antagonists both in cell culture and in mice. Our findings strongly support the clinical testing of combined hormone antagonist-low-level HSP90 inhibitor regimens in the treatment of metastatic estrogen receptor-positive breast cancer. At a broader level, they also provide promising proof of principle for a generalizable strategy to combat the pervasive problem of rapidly emerging resistance to molecularly targeted therapeutics.

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsCell CycleDrug Resistance, NeoplasmFemaleHeterograftsHSP90 Heat-Shock ProteinsHumansAntineoplastic Agents, HormonalHSP90 Heat-Shock Proteinsantiestrogendrug resistanceestrogen receptortamoxifentumor progression

Identifiers

PMID25489079
PMCPMC4280614
OpenAlexW2029243355

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.