Evidence map›Paper›PMID 38129519›Full record

ArticleCommunications biology2023

Single-cell morphological and transcriptome analysis unveil inhibitors of polyploid giant breast cancer cells in vitro.

Mengli Zhou, Yushu Ma, Chun-Cheng Chiang, Edwin C Rock, Samuel Charles Butler, Rajiv Anne, Svetlana Yatsenko, Yinan Gong, Yu-Chih Chen

Abstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  19. Polyploid cancer cells reveal signatures of chemotherapy resistance.bioRxiv : the preprint server for biology · 2024
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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

9 authors.

Mengli ZhouUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
Yushu MaUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
Chun-Cheng ChiangUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
Edwin C RockDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15260, USA.
Samuel Charles ButlerUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
Rajiv AnneDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15260, USA.
Svetlana YatsenkoDepartment of Pathology, University of Pittsburgh, Pittsburgh, PA, USA.
Yinan GongUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
Yu-Chih ChenUPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA. cheny25@upmc.edu.ORCID 0000-0002-3875-4671

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Project 3: Hedgehog Inhibition to Enhance Response to ICI TherapyP50CA272218 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRANCESMARY MODUGNO · 2023 to 2026
$11.0M
Deciphering Cellular Heterogeneity and Inheritability in MigrationR35GM150509 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yu-Chih Chen · 2023 to 2026
$1.5M
NCATS NIH HHS UL1 TR001857NCI NIH HHS P30 CA047904NCI NIH HHS P50 CA272218NIGMS NIH HHS R35 GM150509
6 · The paper itself

Abstract

Considerable evidence suggests that breast cancer therapeutic resistance and relapse can be driven by polyploid giant cancer cells (PGCCs). The number of PGCCs increases with the stages of disease and therapeutic stress. Given the importance of PGCCs, it remains challenging to eradicate them. To discover effective anti-PGCC compounds, there is an unmet need to rapidly distinguish compounds that kill non-PGCCs, PGCCs, or both. Here, we establish a single-cell morphological analysis pipeline with a high throughput and great precision to characterize dynamics of individual cells. In this manner, we screen a library to identify promising compounds that inhibit all cancer cells or only PGCCs (e.g., regulators of HDAC, proteasome, and ferroptosis). Additionally, we perform scRNA-Seq to reveal altered cell cycle, metabolism, and ferroptosis sensitivity in breast PGCCs. The combination of single-cell morphological and molecular investigation reveals promising anti-PGCC strategies for breast cancer treatment and other malignancies.

Indexed as

Breast NeoplasmsCell Line, TumorFemaleGene Expression ProfilingHumansNeoplasm Recurrence, LocalPolyploidy

Identifiers

PMID38129519
PMCPMC10739852

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.