Evidence map›Paper›PMID 37066379›Full record

ArticlebioRxiv : the preprint server for biology2023

Tamoxifen Response at Single Cell Resolution in Estrogen Receptor-Positive Primary Human Breast Tumors.

Hyunsoo Kim, Austin A Whitman, Kamila Wisniewska, Rasha T Kakati, Susana Garcia-Recio, Benjamin C Calhoun, Hector L Franco, Charles M Perou, Philip M Spanheimer

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hyunsoo KimLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Austin A WhitmanLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Kamila WisniewskaLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Rasha T KakatiLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Susana Garcia-RecioLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Benjamin C CalhounDepartment of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Hector L FrancoLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Charles M PerouLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Philip M SpanheimerLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENJAMIN CARLISLE CALHOUN · 1992 to 2026
$59.3M
Posttranslational Regulation of FOXA1 in Breast CancerR01CA273444 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hector Luis Franco · 2022 to 2026
$1.7M
NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA273444
6 · The paper itself

Abstract

In ER+/HER2- breast cancer, multiple measures of intra-tumor heterogeneity are associated with worse response to endocrine therapy. To investigate heterogeneity in response to treatment, we developed an operating room-to-laboratory pipeline for the collection of live human tumors and normal breast specimens immediately after surgical resection for processing into single-cell workflows for experimentation and genomic analyses. We demonstrate differences in tamoxifen response by cell type and identify distinctly responsive and resistant subpopulations within the malignant cell compartment of human tumors. Tamoxifen resistance signatures from 3 distinct resistant subpopulations are prognostic in large cohorts of ER+ breast cancer patients and enriched in endocrine therapy resistant tumors. This novel ex vivo model system now provides a foundation to define responsive and resistant sub-populations within heterogeneous tumors, to develop precise single cell-based predictors of response to therapy, and to identify genes and pathways driving resistance to therapy.

Identifiers

PMID37066379
PMCPMC10103953

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.