Evidence map›Paper›PMID 42275977›Full record

ReviewCurrent opinion in structural biology2026

Spatial biology of crowded tumor cells: A new map for designing drug combinations.

Ruth Nussinov, Hyunbum Jang

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ruth NussinovBiophysics and Computational Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel. Electronic address: NussinoR@mail.nih.gov.
Hyunbum JangBiophysics and Computational Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, 21702, USA.

Funding

Biomolecular Recognition and Binding MechanismsZIABC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$9.4M
Protein Structure, Stability, and Amyloid FormationZ01BC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$1.4M
Biomolecular Recognition and Binding MechanismsZ01BC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$1.2M
Intramural NIH HHS Z01 BC010440Intramural NIH HHS Z01 BC010441Intramural NIH HHS ZIA BC010441NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003I
6 · The paper itself

Abstract

Understanding how tumor cells navigate crowded spatial environments to drive progression and how to deter them is challenging. Intracellularly, dynamic protein ensembles link genotype to phenotype. Dysregulation of these ensembles-driven by overexpression and mutational variants-alters the conformational landscapes, shifts cell states, and reshapes cell fate decisions. This diversity, spanning from the molecular level to the tumor microenvironment, triggers resistance mechanisms precipitating efforts to engineer effective combination strategies. Here, we underscore these transient cell states in migration and tissue adaptation, which depend on transcriptomic and signaling compatibility. Our spatial biology outlook envisions a map for designing drug combination strategies targeting both the primary tumor and disseminating cell states with host tissue commonalities, centering on bypass pathways to deter drug resistance and metastasis.

Indexed as

Drug DesignNeoplasmsAnimalsHumansTumor Microenvironment

Identifiers

PMID42275977
PMCPMC13267856

What Socratic holds

Textmetadata
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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 Socratic graph.