Evidence map›Paper›PMID 38987605›Full record

ArticleNature2024

Cellular adaptation to cancer therapy along a resistance continuum.

Gustavo S França, Maayan Baron, Benjamin R King, Jozef P Bossowski, Alicia Bjornberg, Maayan Pour, Anjali Rao, Ayushi S Patel, Selim Misirlioglu, Dalia Barkley and 11 more

Abstract read
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing 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

129 citing papers in PubMed.

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69 more citing papers are in PubMed but not listed here.

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

21 authors.

Gustavo S FrançaInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Maayan Baron *Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Benjamin R King *Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.
Jozef P Bossowski *Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
Alicia Bjornberg *Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-9683-4071
Maayan Pour *Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Anjali Rao *Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-8815-9865
Ayushi S Patel *Institute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Selim MisirliogluLaura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
Dalia BarkleyInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-6537-5557
Kwan Ho TangLaura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-7729-5159
Igor DolgalevApplied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-4451-126X
Deborah A LibermanInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-5029-0611
Gal AvitalInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Felicia KuperwaserInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Marta ChiodinInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Douglas A LevineLaura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.
Thales PapagiannakopoulosLaura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-2251-1624
Andriy MarusykDepartment of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-0087-9575
Timothée LionnetInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-1508-0202
Itai YanaiInstitute for Computational Medicine, NYU Grossman School of Medicine, New York, NY, USA. itai.yanai@nyulangone.org.ORCID 0000-0002-8438-2741

Funding

Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN · 2019 to 2025
$12.5M
Project 3: The Evolving Role of Regional Lymph Nodes in Melanoma ProgressionU54CA263001 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Kelly Valentine Ruggles · 2022 to 2026
$11.6M
The Delta Ecology of NSCLC TreatmentU54CA274507 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Alexander Robertson Allan Anderson, ROBERT A GATENBY · 2023 to 2026
$9.4M
Identifying metabolic dependencies in genetic subtypes of KRAS-driven lung cancerR37CA222504 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PAPAGIANNAKOPOULOS, THALES · 2018 to 2024
$3.3M
Dissecting CEBPB Function with Synthetic Biology and ImagingR01AG075272 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Timothee Lionnet · 2022 to 2026
$3.2M
Identification and characterization of cancer cell states by novel computational and experimental technologies - Resubmission - 1U01CA260432 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Richard Mark White, ITAI YANAI · 2022 to 2026
$2.9M
Uncovering Genotype Specific Vulnerabilities in KRAS Mutant Lung Cancer?R01CA227649 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PAPAGIANNAKOPOULOS, THALES · 2018 to 2022
$1.9M
Computational approaches for the systematic detection of cell-cell interactions by spatial transcriptomics - Resubmission - 1R01LM013522 · NLM · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2024
$1.4M
Inferring cell state tumor microenvironment maps by integrating single-cell and spatial transcriptomicsR21CA264361 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2022
$516k
Spatially resolved single-cell patterns of drug-resistant ovarian cancersF32CA239394 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KING, BENJAMIN ROBERT · 2019 to 2021
$156k
Cancer cell state interactions with immune populations of the tumor microenvironmentF30CA257400 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BARKLEY, DALIA · 2021 to 2023
$135k
NCI NIH HHS F30 CA257400NCI NIH HHS F32 CA239394NCI NIH HHS P50 CA225450NCI NIH HHS R01 CA227649NCI NIH HHS R21 CA264361NCI NIH HHS R37 CA222504NCI NIH HHS U01 CA260432NCI NIH HHS U54 CA263001NCI NIH HHS U54 CA274507NIA NIH HHS R01 AG075272NLM NIH HHS R01 LM013522
6 · The paper itself

Abstract

Advancements in precision oncology over the past decades have led to new therapeutic interventions, but the efficacy of such treatments is generally limited by an adaptive process that fosters drug resistance

Indexed as

Adaptation, PhysiologicalCell PlasticityDrug Resistance, NeoplasmNeoplasmsAnimalsCell Line, TumorCellular ReprogrammingEpigenesis, GeneticEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansMicePhenotype

Identifiers

PMID38987605
PMCPMC11925205

What OpenQuestion holds

Textmetadata
LicenceTDM
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.