Evidence map›Paper›PMID 24163380›Full record

ArticleCancer research2013

The role of cell density and intratumoral heterogeneity in multidrug resistance.

Orit Lavi, James M Greene, Doron Levy, Michael M Gottesman

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 70 citations in OpenAlex.

  1. Inhalable nanoparticle-based drug delivery system for non-small cell lung cancer therapy: promises and challenges.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
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  11. Prevention of hepatocellular carcinoma by targeting MYCN-positive liver cancer stem cells with acyclic retinoid.Proceedings of the National Academy of Sciences of the United States of America · 2018
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  17. Microenvironmental Niches and Sanctuaries: A Route to Acquired Resistance.Advances in experimental medicine and biology · 2016
    Article
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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

4 authors at 2 institutions in 1 country.

Orit LaviAuthors' Affiliations: Laboratory of Cell Biology, National Cancer Institute, NIH, Bethesda; and Department of Mathematics and Center for Scientific Computation and Mathematical Modeling (CSCAMM), University of Maryland, College Park, Maryland.
James M Greene
Doron Levy
Michael M Gottesman
National Cancer Institute · USUniversity of Maryland, College Park · US

Funding

Mechanisms of non-classical multidrug resistance in cancerZIABC010830 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GOTTESMAN, MICHAEL · 2009 to 2025
$19.6M
Interplay Between Cancer and Immune Cells on Targeted TherapyR01CA130817 · NCI · STANFORD UNIVERSITY · PI LEE, PETER POON-HANG · 2008 to 2012
$2.1M
Mechanisms of non-classical multidrug resistance in cancerZ01BC010830 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GOTTESMAN, MICHAEL · 2007 to 2008
$1.3M
Intramural NIH HHS Z01 BC010830NCI NIH HHS R01 CA130817NCI NIH HHS R01CA130817
6 · The paper itself

Abstract

Recent data have demonstrated that cancer drug resistance reflects complex biologic factors, including tumor heterogeneity, varying growth, differentiation, apoptosis pathways, and cell density. As a result, there is a need to find new ways to incorporate these complexities in the mathematical modeling of multidrug resistance. Here, we derive a novel structured population model that describes the behavior of cancer cells under selection with cytotoxic drugs. Our model is designed to estimate intratumoral heterogeneity as a function of the resistance level and time. This updated model of the multidrug resistance problem integrates both genetic and epigenetic changes, density dependence, and intratumoral heterogeneity. Our results suggest that treatment acts as a selection process, whereas genetic/epigenetic alteration rates act as a diffusion process. Application of our model to cancer treatment suggests that reducing alteration rates as a first step in treatment causes a reduction in tumor heterogeneity and may improve targeted therapy. The new insight provided by this model could help to dramatically change the ability of clinical oncologists to design new treatment protocols and analyze the response of patients to therapy.

Indexed as

Drug Resistance, MultipleDrug Resistance, NeoplasmModels, BiologicalAntineoplastic AgentsCell CountHumansNeoplasmsAntineoplastic Agents

Identifiers

PMID24163380
PMCPMC4782773
OpenAlexW1988698533

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.