Evidence map›Paper›PMID 41455703›Full record

ArticleNature communications2025

ALFA-K: Local adaptive mapping of karyotype fitness landscapes.

Richard J Beck, Tao Li, Noemi Andor

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Cancer Evolvability Determines Therapy Outcomes.bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Richard J BeckH. Lee Moffitt Cancer Center and Research Institute, Integrated Mathematical Oncology, Tampa, Florida, USA.
Tao LiH. Lee Moffitt Cancer Center and Research Institute, Integrated Mathematical Oncology, Tampa, Florida, USA.ORCID http://orcid.org/0000-0002-9595-5218
Noemi AndorH. Lee Moffitt Cancer Center and Research Institute, Integrated Mathematical Oncology, Tampa, Florida, USA. noemi.andor@moffitt.org.ORCID http://orcid.org/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
$2.6M
IMAT-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
$499k
A 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
$179k
NCI NIH HHS R03 CA259873NCI NIH HHS R21 CA269415NCI NIH HHS R37 CA266727U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1R21CA269415-01A1U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1R37CA266727-01A1U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics) 1R03CA259873-01A1
6 · The paper itself

Abstract

Despite its critical role in tumor evolution, a detailed quantitative understanding of the evolutionary dynamics of aneuploidy remains elusive. Here we introduce ALFA-K (Adaptive Local Fitness landscapes for Aneuploid Karyotypes), a method that infers chromosome-level karyotype fitness landscapes from longitudinal single-cell data. ALFA-K estimates fitness of thousands of karyotypes closely related to observed populations, enabling robust prediction of emergent karyotypes not yet experimentally detected. We validate ALFA-K's performance using synthetic data from an agent-based model and empirical data from in vitro and in vivo passaged cell lines. Analysis of fitted landscapes suggests several key insights: (1) Whole genome doubling facilitates aneuploidy evolution by narrowing the spectrum of deleterious copy-number changes; (2) Environmental context and cisplatin treatment significantly modulate the fitness impact of these changes; (3) Fitness effects of copy-number changes depend on parental karyotype; and (4) Chromosome mis-segregation rates strongly influence the predominant karyotypes in evolving populations.

Indexed as

AneuploidyGenetic FitnessKaryotypeNeoplasmsAnimalsCell Line, TumorCisplatinDNA Copy Number VariationsEvolution, MolecularHumansKaryotypingModels, GeneticCisplatin

Identifiers

PMID41455703
PMCPMC12848095

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Registered trials

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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.