In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Thomas VeithDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0001-8411-9911 Richard BeckDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-6983-8835 Vural TagalDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-0489-9725 Tao LiDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-9595-5218 Jackson ColeDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0009-0006-3416-6641 Daniel HannabyDepartment of Computer Science, Najran University, Najran 66462, Saudi Arabia.
John KyeiDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Xiaoqing YuDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0003-4585-9372 Konstantin MaksinThe University of Commerce and Services, Medical Department (WSHIU), Poznan, Poland.ORCID 0000-0001-6190-217X Andrew SchultzDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0009-0002-1783-6931 Issam ElNaqaDepartment of Machine Learning, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0001-6023-1132 Steven EschrichDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-9833-2788 Aaron DiazDepartment of Epidemiology & Biostatistics, University of California San Francisco, CA, USA.ORCID 0000-0001-9059-9501 Noemi AndorDepartment of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-2469-5180 Funding
Characterizing cytotoxic therapy induced shifts in the cost-to-benefit ratio of high ploidyR37CA266727 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Noemi Andor · 2022 to 2026
$2.6MIntegrating cancer genomics and spatial architecture of tumor infiltrating lymphocytesR01CA280089 · NCI · STANFORD UNIVERSITY · PI Hanlee P Ji · 2023 to 2026
$1.9MMultimodal iterative sequencing of cancer genomes and single tumor cellsR33CA247700 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P · 2021 to 2023
$1.1MIMAT-ITCR Collaboration: Engineering model-based systems to monitor and steer subclonal dynamicsR21CA269415 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDOR, NOEMI · 2023 to 2024
$499kA framework to integrate live-cell imaging with single-cell sequencing and learn how cells adapt to new environmentsR03CA259873 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDOR, NOEMI, HEISER, LAURA MADELINE · 2022 to 2023
$179kNCI NIH HHS R01 CA280089NCI NIH HHS R03 CA259873NCI NIH HHS R21 CA269415NCI NIH HHS R33 CA247700NCI NIH HHS R37 CA266727
6 · The paper itselfAbstract
Understanding how genetic and phenotypic diversity emerges and evolves within cancer cell populations is a fundamental challenge in cancer biology. CLONEID is a novel framework designed to organize and analyze clone-specific measures as structured time-series data. By integrating and monitoring genotypic and phenotypic experimental data over time, CLONEID facilitates hypothesis-driven and hypothesis-generating research in cancer biology. This article outlines the development, utility, and applications of CLONEID, emphasizing its role in overcoming challenges in data reproducibility, mathematical modeling, and multi-modal data integration. A webportal to the CLONEID database is available at dev.cloneid.org.
Identifiers
PMID40631300
PMCPMC12236826
What OpenQuestion holds
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LicenceCC BY-NC
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