Evidence map›Paper›PMID 33926484›Full record

ArticleJournal of translational medicine2021

Inhibition of CPT1a as a prognostic marker can synergistically enhance the antileukemic activity of ABT199.

Shihui Mao, Qing Ling, Jiajia Pan, Fenglin Li, Shujuan Huang, Wenle Ye, Wenwen Wei, Xiangjie Lin, Yu Qian, Yungui Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. The emerging metabolic role and treatment target of CPT1A in CRC.Frontiers in cell and developmental biology · 2026
    Review
  7. Review
  8. Carnitine Shuttle and Ferroptosis in Cancer.Antioxidants (Basel, Switzerland) · 2025
    Review
  9. Review
  10. Article
  11. Lipids: Driving Forces in the Underlying Biology of Carcinogenesis.ACS pharmacology & translational science · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  16. Review
  17. Lipid metabolism in B cell biology.Molecular oncology · 2024
    Review
  18. Review
  19. Review
  20. Small molecule inhibitors for cancer metabolism: promising prospects to be explored.Journal of cancer research and clinical oncology · 2023
    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

14 authors at 2 institutions in 1 country.

Shihui Mao *Department of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Qing Ling *Department of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Jiajia PanDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Fenglin LiDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Shujuan HuangDepartment of Hematology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, People's Republic of China.
Wenle YeDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Wenwen WeiDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Xiangjie LinDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Yu QianDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Yungui WangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Xin HuangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Jiansong HuangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China.
Jinghan WangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China. 1513084@zju.edu.cn.
Jie JinDepartment of Hematology, The First Affiliated Hospital, Zhejiang University College of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, People's Republic of China. jiej0503@zju.edu.cn.ORCID 0000-0002-8166-9915
First Affiliated Hospital Zhejiang University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatty acid oxidation (FAO) provides an important source of energy to promote the growth of leukemia cells. Carnitine palmitoyltransferase 1a(CPT1a), a rate-limiting enzyme of the essential step of FAO, can facilitate cancer metabolic adaptation. Previous reports demonstrated that CPT1a acts as a potential molecular target in solid tumors and hematologic disease. However, no systematic study was conducted to explore the prognostic value of CPT1a expression and possible treatment strategies with CPT1a inhibitor on acute myeloid leukemia (AML).

methodsThe expression of CPT1a in 325 cytogenetically normal AML (CN-AML) patients was evaluated using RT-PCR. The combination effects of ST1326 and ABT199 were studied in AML cells and primary patients. MTS was used to measure the cell proliferation rate. Annexin V/propidium iodide staining and flow cytometry analysis was used to measure the apoptosis rate. Western blot was used to measure the expression of Mcl-1. RNAseq and GC-TOFMS were used for genomic and metabolic analysis.

resultsIn this study, we found AML patients with high CPT1a expression (n = 245) had a relatively short overall survival (P = 0.01) compared to patients in low expression group (n = 80). In parallel, downregulation of CPT1a inhibits proliferation of AML cells. We also conducted genomic and metabolic interactive analysis in AML patients, and found several essential genes and pathways related to aberrant expression of CPT1a. Moreover, we found downregulation of CPT1a sentitized BCL-2 inhibitor ABT199 and CPT1a-selective inhibitor ST1326 combined with ABT199 had a strong synergistic effect to induce apoptosis in AML cells and primary patient blasts for the first time. The underlying synergistic mechanism might be that ST1326 inhibits pGSK3β and pERK expression, leading to downregulation of Mcl-1.

conclusionOur study indicates that overexpression of CPT1a predicts poor clinical outcome in AML. CPT1a-selective inhibitor ST1326 combined with Bcl-2 inhibitor ABT199 showed strong synergistic inhibitory effects on AML.

Indexed as

Leukemia, Myeloid, AcuteApoptosisCell Line, TumorHumansPrognosisSulfonamidesSulfonamidesABT199Acute myeloid leukemiaCarnitine palmitoyltransferase 1Fatty acid oxidationOncogene

Identifiers

PMID33926484
PMCPMC8082622
OpenAlexW3134330194

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.