Evidence map›Paper›PMID 38659267›Full record

ArticleCurrent molecular medicine2025

Anlotinib Inhibiting Mantle Cell Lymphoma Proliferation and Inducing Apoptosis through PI3K/AKT/mTOR Pathway.

Jiaping Wang, Zhijuan Xu, Yanli Lai, Yanli Zhang, Ping Zhang, Qitian Mu, Shujun Yang, Lixia Sheng, Guifang Ouyang

Abstract read
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In one paragraph

Article in Current molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Jiaping WangDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Zhijuan XuDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Yanli LaiDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Yanli ZhangDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Ping ZhangDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Qitian MuDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Shujun YangDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Lixia ShengDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Guifang OuyangDepartment of Hematology, Ningbo Clinical Research Center for Hematological Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315000, China.
Ningbo University · CNNingbo University Affiliated Hospital · CNNingbo First Hospital · CN

Funding

Hygiene and Health Sci-tech Plan Project of Zhejiang Province 2021KY282Key Project of Ningbo Natural Science Foundation 2023J017Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2022KY1113Ningbo Public Welfare Fund Project 2022S032Traditional Chinese Medicine Administration of Zhejiang Province 2022ZB324Zhejiang Medical and Health Science and Technology Project 2021KY273Zhejiang Provincial Natural Science Foundation of China LGF21H080002
6 · The paper itself

Abstract

backgroundThis study investigates the inhibitory mechanism of anlotinib on human Mantle Cell Lymphoma (MCL) cells through in vitro and in vivo experiments.

methods

resultsThe results indicate that MCL cell proliferation was significantly inhibited upon anlotinib exposure. The alterations in the expression of apoptosis-related proteins further confirm that anlotinib can induce apoptosis in MCL cells. Additionally, anlotinib significantly reduced the PI3K/Akt/mTOR phosphorylation level in MCL cells. The administration of a PI3K phosphorylation agonist, 740YP, could reverse the inhibitory effect of anlotinib on MCL. In the xenograft mouse model using Mino MCL cells, anlotinib treatment led to a gradual reduction in body weight and a significant increase in survival time compared to the control group. Additionally, anlotinib attenuated PD-1 expression and elevated inflammatory factors, CD4, and CD8 levels in tumour tissues.

conclusionAnlotinib effectively inhibits proliferation and induces apoptosis in MCL both

Indexed as

ApoptosisIndolesLymphoma, Mantle-CellPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktQuinolinesSignal TransductionTOR Serine-Threonine KinasesAnimalsCell Line, TumorCell ProliferationHumansMiceMice, NudeXenograft Model Antitumor AssaysanlotinibIndolesMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktQuinolinesTOR Serine-Threonine KinasesAKTAnlotinibapoptosismammalian target of rapamycinmantle cell lymphomaphosphoinositide 3-kinasetumour microenvironment

Identifiers

PMID38659267
OpenAlexW4395456065

What OpenQuestion 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 OpenQuestion graph.