Evidence map›Paper›PMID 31623133›Full record

ReviewCancers2019

The Many Facets of Tumor Heterogeneity: Is Metabolism Lagging Behind?

Sara Loponte, Sara Lovisa, Angela K Deem, Alessandro Carugo, Andrea Viale

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

5 authors.

Sara LoponteDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA. SLoponte@mdanderson.org.ORCID 0000-0002-2849-5805
Sara LovisaDepartment of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA. SLovisa@mdanderson.org.ORCID 0000-0001-7776-2896
Angela K DeemDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA. AKDeem@mdanderson.org.
Alessandro CarugoTRACTION platform, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA. ACarugo@mdanderson.org.ORCID 0000-0001-5182-3320
Andrea VialeDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA. aviale@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor functional heterogeneity has been recognized for decades, and technological advancements are fueling renewed interest in uncovering the cell-intrinsic and extrinsic factors that influence tumor development and therapeutic response. Intratumoral heterogeneity is now arguably one of the most-studied topics in tumor biology, leading to the discovery of new paradigms and reinterpretation of old ones, as we aim to understand the profound implications that genomic, epigenomic, and functional heterogeneity hold with regard to clinical outcomes. In spite of our improved understanding of the biological complexity of cancer, characterization of tumor metabolic heterogeneity has lagged behind, lost in a century-old controversy debating whether glycolysis or mitochondrial respiration is more influential. But is tumor metabolism really so simple? Here, we review historical and current views of intratumoral heterogeneity, with an emphasis on summarizing the emerging data that begin to illuminate just how vast the spectrum of metabolic strategies a tumor can employ may be, and what this means for how we might interpret other tumor characteristics, such as mutational landscape, contribution of microenvironmental influences, and treatment resistance.

Indexed as

adaptationcomplexityecosystemepigenomicsevolutiongenomicsintratumor heterogeneitymetabolismreprogrammingresponse to therapytreatment resistance

Identifiers

PMID31623133
PMCPMC6826850

What OpenQuestion holds

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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 OpenQuestion graph.