Evidence map›Paper›PMID 42469010›Full record

ReviewGenes & development2026

Metabolic adaptations of the tumor macroenvironment and their role in cancer progression and survivorship.

Devesh Raizada, Ana P Gomes

Abstract readReview
In one paragraph

Review in Genes & development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Devesh RaizadaDepartment of Tumor Microenvironment and Metastasis, Moffitt Cancer Center, Tampa, Florida 33612, USA.
Ana P GomesDepartment of Tumor Microenvironment and Metastasis, Moffitt Cancer Center, Tampa, Florida 33612, USA; ana.dasilvagomes@moffitt.org.

Funding

Epigenetic and metabolic bottlenecks of tumorigenesisR01CA279023 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Ana da silva Gomes · 2024 to 2026
$3.1M
Adaptations of breast cancer metastasis to the aging lungR21AG083720 · NIA · H. LEE MOFFITT CANCER CTR & RES INST · PI DA SILVA GOMES, ANA · 2023 to 2024
$463k
NCI NIH HHS R01 CA279023NIA NIH HHS R21 AG083720
6 · The paper itself

Abstract

Cancer progression is shaped not only by tumor-intrinsic programs and the local microenvironment but also by profound metabolic rewiring of the host at the organismal scale. Tumors engage in dynamic cross-talk with distant organs, immune and neuroendocrine networks, and systemic nutrient pools, generating a metabolically permissive macroenvironment that fuels tumor growth, supports metastatic dissemination, and undermines therapeutic efficacy. In this review, we synthesize emerging evidence showing how cancer-driven systemic metabolic remodeling reshapes glucose, lipid, and protein metabolism, perturbs immune and hematopoietic homeostasis, and hijacks neuroendocrine circuits governing energy balance and stress responses. We further highlight how these adaptations fuel cellular energetics within tumor cells as well as promote premetastatic niche formation, immune evasion, and therapy resistance, while leaving durable metabolic and inflammatory scars that accelerate biological aging and compromise long-term health in cancer survivors. Together, these findings position tumor-host metabolic cross-talk as a central, targetable axis in cancer biology with broad implications for therapy and survivorship care.

Indexed as

Adaptation, PhysiologicalNeoplasmsSurvivorshipTumor MicroenvironmentAnimalsDisease ProgressionEnergy MetabolismHumansMetabolic Reprogrammingcancer progressionmetabolismtumor macroenvironment

Identifiers

PMID42469010
PMCPMC13431171

What OpenQuestion holds

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LicenceCC BY
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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.