Evidence mapPaperPMID 40110197Full record

ReviewFrontiers in oncology2025

Lipid metabolism in multiple myeloma: pathogenesis, therapeutic opportunities, and future directions.

Huiquan Wang, Jiafeng Zhang, Hefei Ren, Lei Chen, Jigang Ren, Chang Liu, Hongkun Wu, Lin Zhou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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

8 authors.

Huiquan Wang *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Jiafeng Zhang *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Hefei Ren *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Lei Chen *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Jigang Ren *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Chang LiuDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Hongkun WuDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Lin ZhouDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a complex hematological malignancy characterized by the clonal expansion of plasma cells in the bone marrow. Emerging studies have emphasized the importance of lipid metabolism, which is closely associated with the survival, proliferation, and drug resistance of tumor cells. The hypoxic environment in the bone marrow (BM) contributes to metabolic reprogramming in MM cells, including alterations in metabolite levels, changes in metabolic enzyme activity, and metabolic shifts. Cancer cells possess the ability to adapt their metabolism in order to fulfill their continuously increasing energy demands. In this review, we will discuss the alterations in lipid metabolism during the development of MM, and their reciprocal interactions with the tumor microenvironment.

Indexed as

hematologylipid metabolismmultiple myelomatherapeutic targetstumor

Identifiers

PMID40110197
PMCPMC11919907

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.