Evidence map›Paper›PMID 39085929›Full record

ArticleJournal of translational medicine2024

Monitoring imatinib decreasing pericyte coverage and HIF-1α level in a colorectal cancer model by an ultrahigh-field multiparametric MRI approach.

Xinpeng Hu, Kunlin Ye, Shaowei Bo, Zeyu Xiao, Mengjie Ma, Jinghua Pan, Xing Zhong, Dong Zhang, Xukai Mo, Xiaojun Yu and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Xinpeng Hu *Medical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Kunlin Ye *Medical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Shaowei BoDepartment of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Xingang Middle Road No. 466, Guangzhou, 510317, China.
Zeyu XiaoMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Mengjie MaDepartment of Radiology, Guangzhou First People's Hospital, Panfu Road No. 1, Guangzhou, 510080, China.
Jinghua PanDepartment of General Surgery, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Xing ZhongMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Dong ZhangMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Xukai MoMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Xiaojun YuMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China.
Minfeng ChenCollege of Pharmacy, Jinan University, West Huangpu Avenue No.601, Guangzhou, 510632, China. minfengchen@jnu.edu.cn.
Liangping LuoMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China. tluolp@jnu.edu.cn.
Changzheng ShiMedical Imaging Center, The First Affiliated Hospital of Jinan University, West Huangpu Avenue No. 613, Guangzhou, 510630, China. tsczcn@jnu.edu.cn.ORCID 0000-0002-9728-6062

Funding

Clinical Frontier Technology Program of the First Affiliated Hospital of Jinan University, China JNU1AF-CFTP-2022-a01233Guangdong Basic and Applied Basic Research Foundation 2022A1515110630Guangdong Medical Science and Technology Research Foundation 20201124174036494Guangzhou Basic Research Foundation 202201020005Guangzhou Science and Technology Plan Project 202102010063Guangzhou Science and Technology Plan Project 2023A03J0609Guangzhou Science and Technology Plan Project 2023A03J1037National Natural Science Foundation of China 81971672National Natural Science Foundation of China 82271943Scientific Research Program of Guangdong Provincial Bureau of Traditional Chinese Medicine 20222039
6 · The paper itself

Abstract

backgroundExcessive pericyte coverage promotes tumor growth, and a downregulation may solve this dilemma. Due to the double-edged sword role of vascular pericytes in tumor microenvironment (TME), indiscriminately decreasing pericyte coverage by imatinib causes poor treatment outcomes. Here, we optimized the use of imatinib in a colorectal cancer (CRC) model in high pericyte-coverage status, and revealed the value of multiparametric magnetic resonance imaging (mpMRI) at 9.4T in monitoring treatment-related changes in pericyte coverage and the TME.

methodsCRC xenograft models were evaluated by histological vascular characterizations and mpMRI. Mice with the highest pericyte coverage were treated with imatinib or saline; then, vascular characterizations, tumor apoptosis and HIF-1α level were analyzed histologically, and alterations in the expression of Bcl-2/bax pathway were assessed through qPCR. The effects of imatinib were monitored by dynamic contrast-enhanced (DCE)-, diffusion-weighted imaging (DWI)- and amide proton transfer chemical exchange saturation transfer (APT CEST)-MRI at 9.4T.

resultsThe DCE- parameters provided a good histologic match the tumor vascular characterizations. In the high pericyte coverage status, imatinib exhibited significant tumor growth inhibition, necrosis increase and pericyte coverage downregulation, and these changes were accompanied by increased vessel permeability, decreased microvessel density (MVD), increased tumor apoptosis and altered gene expression of apoptosis-related Bcl-2/bax pathway. Strategically, a 4-day imatinib effectively decreased pericyte coverage and HIF-1α level, and continuous treatment led to a less marked decrease in pericyte coverage and re-elevated HIF-1α level. Correlation analysis confirmed the feasibility of using mpMRI parameters to monitor imatinib treatment, with DCE-derived V

conclusionsThese results provided an optimized imatinib regimen to achieve decreasing pericyte coverage and HIF-1α level in the high pericyte-coverage CRC model, and offered an ultrahigh-field multiparametric MRI approach for monitoring pericyte coverage and dynamics response of the TME to treatment.

Indexed as

ApoptosisColorectal NeoplasmsHypoxia-Inducible Factor 1, alpha SubunitImatinib MesylateMultiparametric Magnetic Resonance ImagingPericytesAnimalsCell Line, TumorHumansMiceMice, Inbred BALB CMice, NudeTumor MicroenvironmentXenograft Model Antitumor AssaysHypoxia-Inducible Factor 1, alpha SubunitImatinib MesylateAPT CESTDCE-MRIDWIImatinibPericyte coverageTME

Identifiers

PMID39085929
PMCPMC11293104

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.