Evidence map›Paper›PMID 37932277›Full record

ArticleNature communications2023

Disrupting cellular memory to overcome drug resistance.

Guillaume Harmange, Raúl A Reyes Hueros, Dylan L Schaff, Benjamin Emert, Michael Saint-Antoine, Laura C Kim, Zijian Niu, Shivani Nellore, Mitchell E Fane, Gretchen M Alicea and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Multiplexed enrichment and tracking of lineages with CloneSweeper.bioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Induced tolerance to UV stress drives survival heterogeneity in isogenicbioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 1 country.

Guillaume HarmangeCellular and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-3157-5355
Raúl A Reyes HuerosDepartment of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dylan L SchaffDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Benjamin EmertDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Michael Saint-AntoineDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA.
Laura C KimAbramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8229-2745
Zijian NiuDepartment of Chemistry, College of the Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Shivani NelloreDepartment of Biology, College of the Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Mitchell E FaneCancer Signaling and Microenvironment Research Program, Fox Chase Cancer Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6163-5753
Gretchen M AliceaDepartment of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Ashani T WeeraratnaDepartment of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
M Celeste SimonAbramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-9106-447X
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA.ORCID http://orcid.org/0000-0002-1451-2838
Sydney M ShafferDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA. sydshaffer@gmail.com.ORCID http://orcid.org/0000-0003-3539-9886
University of Pennsylvania · USCancer Research Institute · USJohns Hopkins University · USUniversity of Delaware · USUniversity of the Arts · USCalifornia Institute of Technology · USFox Chase Cancer Center · US

Funding

Targeting the MAP and PI3 Kinase Pathways in MelanomaP01CA114046 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F, WEERARATNA, ASHANI T · 2008 to 2023
$37.1M
IMMUNOBIOLOGY OF NORMAL AND NEOPLASTIC LYMPHOCYTEST32CA009140 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Malay Haldar, WARREN S PEAR · 1985 to 2026
$16.1M
Targeting exosomal PDL1 to improve immunotherapyP50CA261608 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2021 to 2025
$11.3M
Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2014 to 2018
$11.1M
Metabolic Tumor Suppressors in Renal Cancer: Unprecedented Roles in Disease ProgressionR35CA220483 · NCI · UNIVERSITY OF PENNSYLVANIA · PI M. CELESTE SIMON · 2017 to 2026
$9.4M
Effect of the aged microenvironment on tumor dormancyR01CA207935 · NCI · WISTAR INSTITUTE · PI WEERARATNA, ASHANI T · 2017 to 2021
$2.0M
Decoding mechanisms of phenotypic memory in single cellsDP5OD028144 · OD · UNIVERSITY OF PENNSYLVANIA · PI SHAFFER, SYDNEY · 2019 to 2023
$2.0M
Generalized fluctuation test for deciphering phenotypic switching within cell populationsR35GM148351 · NIGMS · UNIVERSITY OF DELAWARE · PI Abhyudai Singh · 2023 to 2026
$1.6M
The role of MER/PROS1 in promoting stromal induced emergence from metastatic melanoma dormancyR00CA263017 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI FANE, MITCHELL EDWARD · 2023 to 2025
$747k
NCI NIH HHS P01 CA114046NCI NIH HHS P50 CA174523NCI NIH HHS P50 CA261608NCI NIH HHS R00 CA263017NCI NIH HHS R01 CA207935NCI NIH HHS R35 CA220483NCI NIH HHS T32 CA009140NIGMS NIH HHS R35 GM148351NIH HHS DP5 OD028144
6 · The paper itself

Abstract

Gene expression states persist for varying lengths of time at the single-cell level, a phenomenon known as gene expression memory. When cells switch states, losing memory of their prior state, this transition can occur in the absence of genetic changes. However, we lack robust methods to find regulators of memory or track state switching. Here, we develop a lineage tracing-based technique to quantify memory and identify cells that switch states. Applied to melanoma cells without therapy, we quantify long-lived fluctuations in gene expression that are predictive of later resistance to targeted therapy. We also identify the PI3K and TGF-β pathways as state switching modulators. We propose a pretreatment model, first applying a PI3K inhibitor to modulate gene expression states, then applying targeted therapy, which leads to less resistance than targeted therapy alone. Together, we present a method for finding modulators of gene expression memory and their associated cell fates.

Indexed as

Drug Resistance, NeoplasmPhosphatidylinositol 3-KinasesCell DifferentiationTransforming Growth Factor betaPhosphatidylinositol 3-KinasesTransforming Growth Factor beta

Identifiers

PMID37932277
PMCPMC10628298
OpenAlexW4388424617

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.