Evidence map›Paper›PMID 39949840›Full record

Review3 Biotech2025

Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer.

Pooja Singh, Yashika W Dhir, Shagun Gupta, Ankur Kaushal, Deepak Kala, Rupak Nagraiik, Naveen K Kaushik, Md Salik Noorani, Abdul R Asif, Bharat Singh and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

12 authors.

Pooja SinghDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.
Yashika W DhirDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.
Shagun GuptaDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.
Ankur KaushalDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.
Deepak KalaNL-11 Centera Tetrahertz Laboratory, Institute of High-Pressure Physics, Polish Academy of Sciences, 29/37 Sokolowska Street, 01142 Warsaw, Poland.
Rupak NagraiikDepartment of Biotechnology, Graphic Era, Deemed to Be University, Dehradun, Uttarakhand India 248002.
Naveen K KaushikDepartment of Industrial Biotechnology, College of Biotechnology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana India.
Md Salik NooraniDepartment of Botany, School of Chemical and Life Sciences, Jamia Hamdard, Tughlakabad, New Delhi 110062 India.
Abdul R AsifInstitute of Clinical Chemistry/UMG Laboratories, University Medical Center Goettingen, Robert Koch-Str.40, 37075 Goettingen, Germany.
Bharat SinghDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.
Shahbaz AmanDepartment of Microbiology, MMIMSR, Maharishi Markandeshwar (Deemed to Be University), Mullana, Ambala, Haryana 133207 India.ORCID 0000-0002-9929-8534
Sunny DhirDepartment of Bio-sciences & Technology, MMEC, Maharishi Markandeshwar, Deemed to Be University, Mullana, Ambala, Haryana 133207 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics and metabolomics, integral combination of OMICs platform are gaining prominence in cancer research to enhance scientific knowledge of bio-molecular interactions occurs in the cellular processes during cancer progression. This approach designed to identify potential tools for addressing the complexities of this multifaceted disease. This analysis focussed on the intricate interplay between proteins and metabolites within cancer cells and their surrounding microenvironment. By reviewing current proteomics and metabolomics studies, we aim to gain invaluable insights into tumour biology, progression, and its implication in therapeutic responses. This study highlights the importance of proteomics and metabolomics in discovering therapeutic targets and diagnostic biomarkers for targeted cancer treatment. Proteomics facilitates the analysis of protein expression, modifications and interactions, exemplified by the identification of HER2 mutations leads to development of breast cancer hence targeted therapies like trastuzumab could be initiated. Metabolomics reveals metabolic alternations such as elevated 2-hydroxyglutarate levels in gliomas linked to cancer progression and treatment resistance. The integration of these approaches clarifies complex signalling network driving oncogenesis and paves the way for innovative cancer therapies, including immune cheque point inhibitors. Proteomics and metabolomics have revolutionised cancer biology by revealing intricate signalling networks, metabolic dysregulations, and unique molecular alterations. This information is crucial for early cancer identification and prognosis, and for designing personalized therapeutic strategies. Innovative technologies like artificial intelligence and high-throughput mass spectrometry further enhance the potential of these studies. Fostering multidisciplinary collaboration and data-sharing is essential for maximising the impact of these approaches to cure as well as better management of the cancer.

Indexed as

BiomarkersMetabolomicsOncogenic signallingPersonalized medicineProteomics

Identifiers

PMID39949840
PMCPMC11813842

What Socratic 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 Socratic graph.