Evidence map›Paper›PMID 29229182›Full record

ReviewTrends in cell biology2018

Exploiting Metabolic Vulnerabilities of Cancer with Precision and Accuracy.

Adam J Wolpaw, Chi V Dang

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

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28 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

2 authors.

Adam J WolpawDivisions of Hematology and Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; The Wistar Institute, Philadelphia, PA 19104, USA.
Chi V DangLudwig Institute for Cancer Research, New York, NY 10017, USA; The Wistar Institute, Philadelphia, PA 19104, USA. Electronic address: cdang@licr.org.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007367 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI REINER, STEVEN L · 1985 to 2021
$25.1M
C-MYC TARGETS IN THE PATHOGENESIS OF HUMAN CANCERSR01CA057341 · NCI · WISTAR INSTITUTE · PI DANG, CHI V. · 1992 to 2021
$8.3M
MYC--TRANSCRIPTION AND INTERACTION WITH P107R01CA051497 · NCI · WISTAR INSTITUTE · PI DANG, CHI V. · 1995 to 2025
$5.3M
C MYC--TRANSCRIPTION AND APOPTOSISR37CA051497 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANG, CHI V. · 1999 to 2006
$2.8M
NCI NIH HHS R01 CA051497NCI NIH HHS R01 CA057341NCI NIH HHS R37 CA051497NIGMS NIH HHS T32 GM007367
6 · The paper itself

Abstract

Links between oncogenic drivers and cancer cell metabolism have emerged over the past several decades, indicating that constitutive oncogenic growth signaling can render cancers susceptible to metabolic interventions. While significant progress has been achieved in the identification of metabolic vulnerabilities of cancer cells, the complexity of the tumor microenvironment (TME) and the dynamic nature of organismal circadian metabolism challenge the precision of targeting cancer metabolism. Here current progress in the areas of cancer metabolism and TME metabolism is reviewed, highlighting how cancer metabolism can be accurately and precisely targeted.

Indexed as

HumansNeoplasmsSignal TransductionTumor Microenvironment

Identifiers

PMID29229182
PMCPMC5818322

What OpenQuestion holds

Textmetadata
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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.