Evidence map›Paper›PMID 38854060›Full record

ArticlebioRxiv : the preprint server for biology2024

Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations.

Andrea L Gardner, Tyler A Jost, Amy Brock

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

3 authors.

Andrea L GardnerDepartment of Biomedical Engineering, The University of Texas at Austin.ORCID 0000-0001-5572-1647
Tyler A JostDepartment of Biomedical Engineering, The University of Texas at Austin.ORCID 0000-0002-0338-1940
Amy BrockDepartment of Biomedical Engineering, The University of Texas at Austin.ORCID 0000-0001-8255-9024

Funding

Instability of Cancer Cell States in Tumor progression (ICCS)R01CA255536 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI BROCK, AMY, HUANG, SUI · 2021 to 2025
$2.5M
The Allee Effect in Tumor InitiationR01CA226258 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, HUANG, SUI · 2018 to 2022
$2.3M
Using label-free Raman microscopy to predict therapeutic resistance of TNBC cellsU01CA253540 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, YANKEELOV, THOMAS E · 2020 to 2024
$2.1M
A streamlined, high-throughput platform for validation of cancer antigen presentation and isolation of cancer antigen reactive T cellsR33CA256086 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BROCK, AMY, JIANG, NING JENNY · 2021 to 2023
$1.1M
Systems Approaches to Understanding the Impact of Cell-Cell Fusion on Therapeutic ResistanceF31CA268833 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI GARDNER, ANDREA L · 2023 to 2024
$80k
NCI NIH HHS F31 CA268833NCI NIH HHS R01 CA226258NCI NIH HHS R01 CA255536NCI NIH HHS R33 CA256086NCI NIH HHS U01 CA253540
6 · The paper itself

Abstract

Intratumor heterogeneity reduces treatment efficacy and complicates our understanding of tumor progression. There is a pressing need to understand the functions of heterogeneous tumor cell subpopulations within a tumor, yet biological systems to study these processes

Identifiers

PMID38854060
PMCPMC11160629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.