Evidence map›Paper›PMID 36321161›Full record

ArticleCurrent opinion in solid state & materials science2022

Systems approaches to uncovering the contribution of environment-mediated drug resistance.

Marc Creixell, Hyuna Kim, Farnaz Mohammadi, Shelly R Peyton, Aaron S Meyer

Open access · hybridAbstract read
In one paragraph

Article in Current opinion in solid state & materials science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Cell-Instructive Biomaterials with Native-Like Biochemical Complexity.Annual review of biomedical engineering · 2025
    Review
  2. Review
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Marc CreixellDepartment of Bioengineering, University of California Los Angeles.
Hyuna KimMolecular and Cellular Biology Graduate Program, University of Massachusetts Amherst.
Farnaz MohammadiDepartment of Bioengineering, University of California Los Angeles.
Shelly R PeytonMolecular and Cellular Biology Graduate Program, University of Massachusetts Amherst.
Aaron S MeyerDepartment of Bioengineering, University of California Los Angeles.
University of California, Los Angeles · USUniversity of Massachusetts Amherst · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Biotechnology Training Program in Applied Life SciencesT32GM135096 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jeanne Ann Hardy, Ashish A. Kulkarni · 2020 to 2026
$3.9M
Precision lung cancer therapy design through multiplexed adapter measurementU01CA215709 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HAURA, ERIC B., MEYER, AARON SAMUEL · 2017 to 2021
$2.3M
NCI NIH HHS P30 CA016042NCI NIH HHS U01 CA215709NIGMS NIH HHS T32 GM135096
6 · The paper itself

Abstract

Cancer drug response is heavily influenced by the extracellular matrix (ECM) environment. Despite a clear appreciation that the ECM influences cancer drug response and progression, a unified view of how, where, and when environment-mediated drug resistance contributes to cancer progression has not coalesced. Here, we survey some specific ways in which the ECM contributes to cancer resistance with a focus on how materials development can coincide with systems biology approaches to better understand and perturb this contribution. We argue that part of the reason that environment-mediated resistance remains a perplexing problem is our lack of a wholistic view of the entire range of environments and their impacts on cell behavior. We cover a series of recent experimental and computational tools that will aid exploration of ECM reactions space, and how they might be synergistically integrated.

Indexed as

cell signalingdrug resistanceECMtensor decomposition

Identifiers

PMID36321161
PMCPMC9620953
OpenAlexW4280542170

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.