Evidence map›Paper›PMID 36106108›Full record

ReviewFrontiers in oncology2022

Reprogramming lipid metabolism as potential strategy for hematological malignancy therapy.

Leqiang Zhang, Ning Chang, Jia Liu, Zhuojun Liu, Yajin Wu, Linlin Sui, Wei Chen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
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

13 citing papers in PubMed, 11 citations in OpenAlex.

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  12. Lipid metabolic vulnerabilities of multiple myeloma.Clinical and experimental medicine · 2023
    Review
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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 at 4 institutions in 1 country.

Leqiang ZhangSchool of Engineering Medicine, Beihang University, Beijing, China.
Ning ChangPeking University Cancer Hospital, Beijing, China.
Jia LiuSchool of Engineering Medicine, Beihang University, Beijing, China.
Zhuojun LiuSchool of Engineering Medicine, Beihang University, Beijing, China.
Yajin WuSchool of Engineering Medicine, Beihang University, Beijing, China.
Linlin SuiCore Lab Glycobiol & Glycoengn, College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Wei ChenSchool of Engineering Medicine, Beihang University, Beijing, China.
Beihang University · CNBeijing Advanced Sciences and Innovation Center · CNDalian Medical University · CNPeking University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological malignancies are one of the most lethal illnesses that seriously threaten human life and health. Lipids are important constituents of various biological membranes and substances for energy storage and cell signaling. Furthermore, lipids are critical in the normal physiological activities of cells. In the process of the lethal transformation of hematological malignancies, lipid metabolism reprogramming meets the material and energy requirements of rapidly proliferating and dividing tumor cells. A large number of studies have shown that dysregulated lipid metabolism, commonly occurs in hematological malignancies, mediating the proliferation, growth, migration, invasion, apoptosis, drug resistance and immune escape of tumor cells. Targeting the lipid metabolism pathway of hematological malignancies has become an effective therapeutic approach. This article reviews the oncogenic mechanisms of lipid metabolism reprogramming in hematological malignancies, including fatty acid, cholesterol and phospholipid metabolism, thereby offering an insight into targeting lipid metabolism in the treatment of hematological malignancies.

Indexed as

cholesterolfatty acidshematological malignancieslipid metabolism reprogrammingphospholipids

Identifiers

PMID36106108
PMCPMC9465383
OpenAlexW4293676869

What OpenQuestion holds

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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 OpenQuestion graph.