Evidence map›Paper›PMID 38401539›Full record

ArticleCell systems2024

Clonal differences underlie variable responses to sequential and prolonged treatment.

Dylan L Schaff, Aria J Fasse, Phoebe E White, Robert J Vander Velde, Sydney M Shaffer

Abstract read
In one paragraph

Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Multiplexed enrichment and tracking of lineages with CloneSweeper.bioRxiv : the preprint server for biology · 2026
    Article
  6. A Darwinian Perspective on Tumor Evolution.International journal of biological sciences · 2026
    Review
  7. Review
  8. Article
  9. Single-Cell Lineage Tracing and Clonal State-Fate Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Dylan L SchaffDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA.
Aria J FasseDepartment of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Phoebe E WhiteDepartment of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA.
Robert J Vander VeldeDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA.
Sydney M ShafferDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA. Electronic address: sydshaffer@gmail.com.

Funding

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 VONDERHEIDE, ROBERT H · 2014 to 2018
$11.1M
Decoding mechanisms of phenotypic memory in single cellsDP5OD028144 · OD · UNIVERSITY OF PENNSYLVANIA · PI SHAFFER, SYDNEY · 2019 to 2023
$2.0M
Multiomic single cell and spatial interrogation of mechanisms in cellular adaptation to stressR01GM149671 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Sydney Shaffer, Nancy R Zhang · 2024 to 2026
$1.6M
NCI NIH HHS P50 CA174523NCI NIH HHS P50 CA261608NIGMS NIH HHS R01 GM149671NIH HHS DP5 OD028144
6 · The paper itself

Abstract

Cancer cells exhibit dramatic differences in gene expression at the single-cell level, which can predict whether they become resistant to treatment. Treatment perpetuates this heterogeneity, resulting in a diversity of cell states among resistant clones. However, it remains unclear whether these differences lead to distinct responses when another treatment is applied or the same treatment is continued. In this study, we combined single-cell RNA sequencing with barcoding to track resistant clones through prolonged and sequential treatments. We found that cells within the same clone have similar gene expression states after multiple rounds of treatment. Moreover, we demonstrated that individual clones have distinct and differing fates, including growth, survival, or death, when subjected to a second treatment or when the first treatment is continued. By identifying gene expression states that predict clone survival, this work provides a foundation for selecting optimal therapies that target the most aggressive resistant clones within a tumor. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

NeoplasmsClone CellsExome SequencingHumansSingle-Cell Analysisbarcodingcancer systems biologyclonal tracingdrug resistancescRNA-seq

Identifiers

PMID38401539
PMCPMC11003565

What OpenQuestion holds

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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.