Evidence map›Paper›PMID 42144528›Full record

ReviewCancer treatment and research2026

Tools and Technologies for Studying Cancer Metabolism.

Ayush Madan, Subhajit Mandal, Soukat Chandra, Joy Das, Biplab Debnath

Abstract readReview
PubMed Publisher
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.

Ayush MadanDepartment of Biotechnology, School of Research and Technology, People's University, Bhopal, Madhya Pradesh, India.
Subhajit MandalDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam, India.
Soukat ChandraDepartment of Pharmaceutical Technology, Bharat Technology, Uluberia, West Bengal, India.
Joy DasSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.
Biplab DebnathDepartment of Pharmaceutical Technology, Bharat Technology, Uluberia, West Bengal, India.ORCID https://orcid.org/0000-0002-3908-8121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tools for studying cancer metabolism include mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy for metabolomics, metabolic imaging (PET, MRI, MRS) for in vivo analysis, and metabolic flux analysis (MFA) with stable isotope tracers to track metabolic pathways. Other technologies involve microfluidic systems for simulating tumor environments and fluorescence-activated cell sorting (FACS)-based methods for analyzing immune cell metabolism. Multiple analytical platforms that facilitate the detection of metabolites in cells and living organisms have been utilized to study cancer metabolism. In this section, we will discuss how these techniques have contributed to the study of cancer metabolism and how they have led to advances in our understanding of metabolic reprogramming and biological phenotypes.

Indexed as

MetabolomicsNeoplasmsAnimalsHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolic ReprogrammingAnalytical platformsCancer metabolismMetabolites

Identifiers

PMID42144528

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.