Evidence map›Paper›PMID 42144525›Full record

ReviewCancer treatment and research2026

Targeting Metabolism in Cancer Therapy: Inhibitors and Approaches.

Bhabani Shankar Nayak, Bangmayee Dash, Sisir Nandi, Nebojša Pavlović, Mohamed Dkhi

Abstract readReview
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In one paragraph

Review in Cancer treatment and research, 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

5 authors.

Bhabani Shankar NayakKIIT School of Pharmacy, KIMS, KIIT DEEMED to be University, Bhubaneswar, Odisha, India.
Bangmayee DashSchool of Allied and Health Care Sciences, DRIEMS University, Cuttack, Odisha, India.
Sisir NandiGlobal Institute of Pharmaceutical Education & Research (GIPER), Kashipur, Uttarakhand, India.
Nebojša PavlovićDepartment of Pharmacy, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Mohamed DkhiDepartment of Zoology and Entomology, Faculty of Science, Helwan University, Helwan, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells show different abnormal metabolic pathways that promote their development and viability. A novel therapeutic strategy has emerged for the treatment of cancer by inhibiting major metabolic pathways, such as the glycolysis pathway, pentose phosphate pathway (PPP), fatty acid synthesis, glutaminase inhibitors, and metabolism associated with mitochondrial pathways. Metabolic reprogramming supports the formation of tumors and metabolic liabilities, which are used to treat various cancers. Metabolic research on cancer metabolism was based on Otto Warburg's research work, which is related to aerobic glycolysis. In combination with chemotherapies, the reprogramming of cancer metabolism has been efficacious in treating neoplastic cells. The success of the novel treatment demonstrates an emerging therapeutic approach towards cancer and its management, some of which are being examined in preclinical models. A number of metabolic molecules have been used to target the progression of preclinical observation, which are associated with nucleic acid synthesis and other major biochemical processes. With the advancement of multi-omics, single-cell, and other spatial technologies, we can easily track metabolism more accurately.

Indexed as

Antineoplastic AgentsNeoplasmsAnimalsGlutaminaseGlycolysisHumansMetabolic ReprogrammingMitochondriaMolecular Targeted TherapyAntineoplastic AgentsGlutaminaseCancer metabolismGlutaminase inhibitorsGlycolytic inhibitorsMitochondrial inhibitorsPPP inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
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.