Evidence map›Paper›PMID 41367907›Full record

ReviewFrontiers in endocrinology2025

Decoding metabolic dysfunction in cancer: foundations for early detection and personalized therapeutics.

Pradeep M K Nair, Ayyappan Palanisamy, Sekar Sivaranjani, Shanmugam Sudarshan, Sridhar Shubhakarini, Elangovan Karthika, Muniappan Devibala, Maruthanayagam Saranya, Thangavelu R, Saravanan P and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Pradeep M K NairDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Ayyappan PalanisamyDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Sekar SivaranjaniDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Shanmugam SudarshanDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Sridhar ShubhakariniDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Elangovan KarthikaDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Muniappan DevibalaDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Maruthanayagam SaranyaDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Thangavelu RDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Saravanan PDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Manickam MahalingamDepartment of Integrative Oncology, Mirakle Integrated Health Centre, Pollachi, India.
Janira KumariDepartment of Integrative Medicine, Regen Medica Wellness, Kuala Lumpur, Malaysia.
Karishma SilwalDepartment of Naturopathy, Sant Hirdaram Medical College of Naturopathy and Yogic Sciences, Bhopal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global burden of cancer continues to rise despite significant advances in conventional oncology, underscoring the urgent need for novel approaches to prevention and early detection. While cancer has traditionally been regarded as a genetic disease, mounting evidence highlights the role of metabolic dysfunction as a precursor to malignant transformation. Altered glucose utilization, amino acid metabolism, lipid synthesis, mitochondrial function, and disrupted methylation pathways contribute to oxidative stress, epigenetic instability, immune evasion, and tumor initiation. This paper discusses key metabolic markers such as homocysteine, lactate dehydrogenase, HbA1c, insulin, cortisol, neutrophil-to-lymphocyte ratio, C-reactive protein, vitamin B12, parathyroid hormone, ionized calcium, estrogen and progesterone, and their potential as early indicators of cancer risk. Drawing on insights from integrative oncology practice, we highlight how metabolic markers can serve as both predictive and prognostic tools, complementing standard genetic and imaging diagnostics. Importantly, these markers should not be viewed in isolation but collectively, as they interact through overlapping biochemical pathways that foster tumorigenesis. Early identification of metabolic abnormalities may enable timely interventions to restore balance and mitigate cancer risk. However, cumulative and multicentric data are needed to validate their translational utility across diverse clinical settings.

Indexed as

Biomarkers, TumorEarly Detection of CancerMetabolic DiseasesNeoplasmsPrecision MedicineHumansBiomarkers, Tumorcancer riskearly detectionepigenetic regulationintegrative oncologymetabolic markers

Identifiers

PMID41367907
PMCPMC12682692

What Socratic holds

Textmetadata
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 Socratic graph.