Evidence map›Paper›PMID 40727661›Full record

ReviewBiophysical reviews2025

Drug resistance and tumor heterogeneity: cells and ensembles.

Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Biophysical reviews · 2025
    Article
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

3 authors.

Ruth NussinovComputational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702 USA.
Bengi Ruken YavuzComputational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702 USA.
Hyunbum JangComputational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The population of cells that make up a tumor, and of their biomolecular conformational ensembles, are heterogeneous at all levels, genetic, epigenetic, and phenotypic. At the cellular level, tumor heterogeneity was described as the "Rosetta Stone of therapy resistance." At the genetic level, tumors consist of divergent tumor (sub)clones. At the phenotypic level, their observed function, clinical attributes, and response to drugs vary. We suggest that the behavior and properties of populations of cells-and of populations of conformational states-are intrinsically connected. This is important. Considering the tumor's disruption of normal cellular processes clarifies why it is crucial to understand the ins and outs of its mechanistic molecular foundation. In reality, the propensities of the tumor's conformational states underly the proliferative potential of its cell populations. These propensities are determined by expression levels, driver mutations, and the tumor cells environment, collectively transforming tumor cells behavior and crucially, drug resistance. We suggest that propensities of the conformations, across the tumor space and over time, shape tumor heterogeneity, and cell plasticity. The conformational states that are preferentially visited can be viewed as phenotypic determinants, and their mutations and altered expression work by allosterically shifting the relative propensities, thus the cell phenotype. Physics (and chemistry) inspire the notion that living things must conform to fundamental laws of science, like dynamic landscapes. Dynamic conformational propensities are at the core of cell life, including tumor cells; their heterogeneity is the formidable, unmet drug resistance challenge.

Indexed as

AllostericAllosteryCancerDrug resistanceDynamic conformational ensemblesHeterogeneity

Identifiers

PMID40727661
PMCPMC12290172

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.