Evidence map›Paper›PMID 36192709›Full record

ArticleBMC cancer2022

Evaluating the efficacy and microenvironment changes of HER2 + gastric cancer during HLX02 and Endostar treatment using quantitative MRI.

Jianye Liang, Wei Dai, Zhipeng Li, Xiangjing Liang, Mingjia Xiao, Chuanmiao Xie, Xinming Li

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
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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 3 institutions in 1 country.

Jianye Liang *Department of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Wei Dai *Department of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Zhipeng LiDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xiangjing LiangUltrasound Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Mingjia XiaoDepartment of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Chuanmiao XieDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China. xiechm@sysucc.org.cn.
Xinming LiDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. lixinmingsmu@163.com.
Southern Medical University · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2019A1515011269 and 2021A1515011305President Foundation of ZhuJiang Hospital, Southern Medical University yzjj2021qn23
6 · The paper itself

Abstract

BACKGROUND AND

objectivesTrastuzumab is an important targeted drug for HER2-positive gastric cancer. The treatment efficacy of a more cost-effective and accessible trastuzumab biosimilar, HLX02, was not well investigated, especially when combined with antiangiogenic treatment. In addition, the tumour microenvironment detected by functional MRI was still unclear during treatment. This study attempts to evaluate the therapeutic effect of antiangiogenic agents combined with HLX02 in a HER2-positive gastric cancer xenograft model and to detect microenvironmental changes using intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI). MATERIALS AND

methodsWe subcutaneously injected MKN-45 human gastric cancer cells into BALB/C nude mice to establish a tumour model. Twenty-eight mice were divided into four groups and treated with saline (Group 1), Endostar (Group 2), trastuzumab biosimilar HLX02 (Group 3), or the combination of Endostar and HLX02 (Group 4). We then performed IVIM-DWI before and at different time points after treatment. HE, HER2, TUNEL, E-cadherin staining, and α-SMA and CD31 double-staining were used to confirm the pathological changes.

resultsGroup 4 demonstrated the smallest tumour volume at the end of treatment. The D value in Group 4 increased more dramatically, with the highest value on Day 20, compared with the other groups. Perfusion-related parameters (D* and f values) in Groups 2 and 4 increased initially and reversed after Day 10. Group 4 showed the lowest CD31 and HER2 and the highest TUNEL- and E-cadherin-positive staining rates. The D value was positively correlated with TUNEL but negatively correlated with HER2 staining. The D* and f values had positive correlations with CD31 and E-cadherin expression and the vessel maturity index.

conclusionsThe trastuzumab biosimilar drug HLX02 exhibited good treatment efficacy in HER2-positive gastric cancer, especially when combined with Endostar. IVIM-DWI can noninvasively monitor the process of vascular normalization and reflect the treatment effect early at the molecular level.

Indexed as

Biosimilar PharmaceuticalsStomach NeoplasmsAngiogenesis InhibitorsAnimalsCadherinsDiffusion Magnetic Resonance ImagingEndostatinsHumansMagnetic Resonance ImagingMiceMice, Inbred BALB CMice, NudeRecombinant ProteinsTrastuzumabTumor MicroenvironmentAngiogenesis InhibitorsBiosimilar PharmaceuticalsCadherinsendostar proteinEndostatinsRecombinant ProteinsTrastuzumabtrastuzumab biosimilar HLX02EndostarGastric cancerHER2HLX02IVIM-DWIVascular normalization

Identifiers

PMID36192709
PMCPMC9528101
OpenAlexW4300960508

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.