Evidence map›Paper›PMID 41225463›Full record

ArticleMolecular cancer2025

The landscape of dynamic tumor immunophenotyping on neoadjuvant chemotherapy combined with trastuzumab for the treatment of HER2-positive breast cancer.

Hongtao Jin, Yaru Yang, Changjian Yan, Mei Liu, Xue He, Dan Yuan, Wei Zhang, Yunqing Mu, Chaoling Wu, Xiaoni Liu and 13 more

Abstract read
In one paragraph

Article in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

23 authors.

Hongtao Jin *Department of Pathology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
Yaru Yang *Chongqing Medical University, Chongqing, 400016, China.
Changjian Yan *The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
Mei Liu *Department of Pathology, the Sixth Medical Center, General Hospital of the Chinese People's Liberation Army, Beijing, 100048, China.
Xue He *Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, No. 119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Dan Yuan *BOE Technology Group Co., Ltd., No. 9 Dize Road, BDA, Beijing, 100176, China.
Wei Zhang *Department of Geriatrics, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing , 100049, China.
Yunqing MuBOE Technology Group Co., Ltd., No. 9 Dize Road, BDA, Beijing, 100176, China.
Chaoling WuDepartment of Respiratory medicine, Affiliated Hospital of Jiujiang University, Jiujiang, 332000, China.
Xiaoni LiuDepartment of Respiratory Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Jinyuan XiaoGannan Medical University, Ganzhou, 341000, China.
Qizhao LongGannan Medical University, Ganzhou, 341000, China.
Min LiDepartment of Pathology, Peking University Third Hospital, Beijing, 100191, China.
Xiaoyu HaoDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Yuqi ZhangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Wenxin QiDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Yan LiuDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Zining YuDepartment of Clinical Laboratory, Shangrao Municipal Hospital, Jiangxi, 334000, China.
Dan GuoChongqing Medical University, Chongqing, 400016, China.
Zijian ZhaoBOE Technology Group Co., Ltd., No. 9 Dize Road, BDA, Beijing, 100176, China. zhaozj@boe.com.cn.
Yanzhao LiBOE Technology Group Co., Ltd., No. 9 Dize Road, BDA, Beijing, 100176, China. liyanzhao@boe.com.cn.
Weilong ZhangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China. zhangwl2012@126.com.
Xiuru ZhangDepartment of Pathology, Beijing Tiantan Hospital, Capital Medical University, No. 119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China. zhangxiuru999@163.com.

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-NCJH202201-0049Key Clinical Projects of Peking University Third Hospital BYSYZD2019026 and BYSYZD2023014National Clinical Key Specialty Construction Program, P. R. China 2023National Natural Science Foundation of China 81800195
6 · The paper itself

Abstract

backgroundFor HER2-positive breast cancer (BC), patients who achieve pathologic complete response (pCR) are predicted to have better clinical outcomes. With the advent of the era of neoadjuvant chemotherapy (NAC) combined with targeted therapy, the pCR rate of HER2-positive BC has increased significantly, but about 50% of these patients still do not respond to targeted therapy. The dynamic changes in the tumor microenvironment (TME) may crucially influence pCR outcomes in HER2-positive BC. However, there is no specific immunophenotyping study that correlates with the efficacy during treatment.

methodsWe conducted a comprehensive spatial expression profiling analysis on 94 ROIs procured from 28 HER2-positive BC patients, encompassing both their initial diagnostic stage and postoperative status. Leveraging DSP techniques, we precisely mapped and quantified the TME at these critical time points for patients.

resultsNotably, we classified specimens into four groups: IM1, IM2, TM1, and TM2. IM1 and TM1, characterized by CD4⁺ naïve T cells and naïve B cells, showed higher pCR rates, whereas IM2 and TM2 exhibited lower rates. In addition, baseline IM1 patients who were classified as TM1 postoperatively achieved a 100% pCR rate, while baseline IM2 patients who were classified as TM2 postoperatively had a poor pCR rate of only 10%. The immunophenotypes defined by spatial transcriptomics were reproducible in both TCGA and single-cell datasets, and spatial analysis further revealed structured cellular transitions and functional heterogeneity at the tumor-immune interface.

conclusionOur dynamic immunophenotyping can provide prediction of the efficacy for NAC with trastuzumab in HER2-positive BC patients, and provide a basis for the selection of subsequent treatment regimens.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesTrastuzumabAdultAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansImmunophenotypingMiddle AgedNeoadjuvant TherapyTreatment OutcomeTumor MicroenvironmentBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTrastuzumabDigital spatial profilingHER2-positive breast cancerImmunophenotypingNeoadjuvant chemotherapyTargeted therapy

Identifiers

PMID41225463
PMCPMC12613545

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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.