Evidence map›Paper›PMID 24279929›Full record

ArticleCancer & metabolism2013

The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.

Sonia C Dolfi, Leo Li-Ying Chan, Jean Qiu, Philip M Tedeschi, Joseph R Bertino, Kim M Hirshfield, Zoltán N Oltvai, Alexei Vazquez

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

110 citing papers in PubMed, 186 citations in OpenAlex.

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  11. Establishment of cell size-dependent growth rate via differential scaling of metabolite uptake and release.Proceedings of the National Academy of Sciences of the United States of America · 2025
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50 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Sonia C DolfiDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA. alexei.vazquez@rutgers.edu.
Leo Li-Ying Chan
Jean Qiu
Philip M Tedeschi
Joseph R Bertino
Kim M Hirshfield
Zoltán N Oltvai
Alexei Vazquez
Rutgers, The State University of New Jersey · USUniversity of Pittsburgh · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
NCI NIH HHS P30 CA072720NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

backgroundAlthough cells require nutrients to proliferate, most nutrient exchange rates of the NCI60 panel of cancer cell lines correlate poorly with their proliferation rate. Here, we provide evidence indicating that this inconsistency is rooted in the variability of cell size.

resultsWe integrate previously reported data characterizing genome copy number variations, gene expression, protein expression and exchange fluxes with our own measurements of cell size and protein content in the NCI60 panel of cell lines. We show that protein content, DNA content, and protein synthesis per cell are proportional to the cell volume, and that larger cells proliferate slower than smaller cells. We estimate the metabolic fluxes of these cell lines and show that their magnitudes are proportional to their protein synthesis rate and, after correcting for cell volume, to their proliferation rate. At the level of gene expression, we observe that genes expressed at higher levels in smaller cells are enriched for genes involved in cell cycle, while genes expressed at higher levels in large cells are enriched for genes expressed in mesenchymal cells. The latter finding is further corroborated by the induction of those same genes following treatment with TGFβ, and the high vimentin but low E-cadherin protein levels in the larger cells. We also find that aromatase inhibitors, statins and mTOR inhibitors preferentially inhibit the in vitro growth of cancer cells with high protein synthesis rates per cell.

conclusionsThe NCI60 cell lines display various metabolic activities, and the type of metabolic activity that they possess correlates with their cell volume and protein content. In addition to cell proliferation, cell volume and/or biomarkers of protein synthesis may predict response to drugs targeting cancer metabolism.

Identifiers

PMID24279929
PMCPMC4178206
OpenAlexW2156697631

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.