Evidence map›Paper›PMID 38287402›Full record

ReviewExperimental hematology & oncology2024

Cancer metabolism and carcinogenesis.

Jianqiang Yang, Chloe Shay, Nabil F Saba, Yong Teng

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
–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

92 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. SFRP2Molecular carcinogenesis · 2026
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  10. GLS1 Orchestrates Exosome-Mediated Tumor-Endothelial Communication to Facilitate Angiogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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32 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

4 authors.

Jianqiang YangDepartment of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA, 30322, USA.
Chloe ShayWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30322, USA.
Nabil F SabaDepartment of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA, 30322, USA.
Yong TengDepartment of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA, 30322, USA. yong.teng@emory.edu.

Funding

ATAD3A as a Novel Target in Head and Neck CancerR01DE028351 · NIDCR · EMORY UNIVERSITY · PI TENG, YONG · 2019 to 2023
$1.9M
Role of FAT1 somatic mutations in aggressiveness of head and neck cancerR03DE032084 · NIDCR · EMORY UNIVERSITY · PI CHEN, ZHENGJIA, TENG, YONG · 2022 to 2023
$328k
The Impact of Arf1 on Hypoxia Signaling and Oral CancerR03DE028387 · NIDCR · EMORY UNIVERSITY · PI TENG, YONG · 2019 to 2020
$306k
NIDCR NIH HHS R01 DE028351NIDCR NIH HHS R01DE028351NIDCR NIH HHS R03 DE028387NIDCR NIH HHS R03 DE032084
6 · The paper itself

Abstract

Metabolic reprogramming is an emerging hallmark of cancer cells, enabling them to meet increased nutrient and energy demands while withstanding the challenging microenvironment. Cancer cells can switch their metabolic pathways, allowing them to adapt to different microenvironments and therapeutic interventions. This refers to metabolic heterogeneity, in which different cell populations use different metabolic pathways to sustain their survival and proliferation and impact their response to conventional cancer therapies. Thus, targeting cancer metabolic heterogeneity represents an innovative therapeutic avenue with the potential to overcome treatment resistance and improve therapeutic outcomes. This review discusses the metabolic patterns of different cancer cell populations and developmental stages, summarizes the molecular mechanisms involved in the intricate interactions within cancer metabolism, and highlights the clinical potential of targeting metabolic vulnerabilities as a promising therapeutic regimen. We aim to unravel the complex of metabolic characteristics and develop personalized treatment approaches to address distinct metabolic traits, ultimately enhancing patient outcomes.

Indexed as

Heterogeneous treatment effectMetabolic exchange and integrationMetabolic heterogeneityMetabolic patterns and regulationTumor heterogeneity

Identifiers

PMID38287402
PMCPMC10826200

What OpenQuestion holds

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LicenceCC BY
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.