Evidence map›Paper›PMID 35531512›Full record

ArticleRSC advances2019

Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study.

Venkatesh Chanukuppa, Tushar H More, Khushman Taunk, Ravindra Taware, Tathagata Chatterjee, Sanjeevan Sharma, Srikanth Rapole

Abstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. [Progress in metabolomics of multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025
    Review
  3. Article
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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

7 authors.

Venkatesh ChanukuppaProteomics Lab, National Centre for Cell Science Ganeshkhind Pune-411007 MH India rsrikanth@nccs.res.in +91-20-2569-2259 +91-20-2570-8075.
Tushar H MoreProteomics Lab, National Centre for Cell Science Ganeshkhind Pune-411007 MH India rsrikanth@nccs.res.in +91-20-2569-2259 +91-20-2570-8075.
Khushman TaunkProteomics Lab, National Centre for Cell Science Ganeshkhind Pune-411007 MH India rsrikanth@nccs.res.in +91-20-2569-2259 +91-20-2570-8075.ORCID https://orcid.org/0000-0003-2293-2936
Ravindra TawareProteomics Lab, National Centre for Cell Science Ganeshkhind Pune-411007 MH India rsrikanth@nccs.res.in +91-20-2569-2259 +91-20-2570-8075.
Tathagata ChatterjeeArmy Hospital (R&R) Dhaula Kuan New Delhi-110010 DL India.
Sanjeevan SharmaArmed Forces Medical College Pune-411001 MH India.
Srikanth RapoleProteomics Lab, National Centre for Cell Science Ganeshkhind Pune-411007 MH India rsrikanth@nccs.res.in +91-20-2569-2259 +91-20-2570-8075.ORCID https://orcid.org/0000-0003-0273-0819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is the second most prevalent hematological malignancy characterized by rapid proliferation of plasma cells, which leads to overproduction of antibodies. MM affects around 15% of all hemato-oncology cases across the world. The present study involves identification of metabolomic alterations in the serum of an MM cohort compared to healthy controls using both LC-MRM/MS based targeted and GC-MS based untargeted approaches. Several MM specific serum metabolomic signatures were observed in this study. A total of 54 metabolites were identified as being significantly altered in MM cohort, out of which, 26 metabolites were identified from LC-MRM/MS based targeted analysis, whereas 28 metabolites were identified from the GC-MS based untargeted analysis. Receiver operating characteristic (ROC) curve analysis demonstrated that six metabolites each from both the datasets can be projected as marker metabolites to discriminate MM subjects with higher specificity and sensitivity. Moreover, pathway analysis deciphered that several metabolic pathways were altered in MM including pyrimidine metabolism, purine metabolism, amino acid metabolism, nitrogen metabolism, sulfur metabolism, and the citrate cycle. Comprehensively, this study contributes valuable information regarding MM induced serum metabolite alterations and their pathways, which could offer further insights into this cancer.

Identifiers

PMID35531512
PMCPMC9071903

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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.