Evidence map›Paper›PMID 40420200›Full record

ArticleJournal of hematology & oncology2025

Panoramic spatial enhanced resolution proteomics (PSERP) reveals tumor architecture and heterogeneity in gliomas.

Ziyan Xu, Yunzhi Wang, Tao Xie, Rongkui Luo, Heng-Li Ni, Hang Xiang, Shaoshuai Tang, Subei Tan, Rundong Fang, Peng Ran and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of hematology & oncology, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
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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

16 authors.

Ziyan Xu *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Yunzhi Wang *Clinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Tao XieDepartment of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Rongkui LuoDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Heng-Li NiDepartment of Pathology, Children's Hospital of Soochow University, Soochow University, Suzhou, JiangSu Province, 215000, The People's Republic of China.
Hang XiangClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Shaoshuai TangClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Subei TanClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Rundong FangClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Peng RanClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Qiao ZhangClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Xiaomeng XuClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Sha TianClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Fuchu HeClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Wenjun YangDepartment of Pediatric Orthopedics, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, Shanghai, 200092, China. wjyang@sibcb.ac.cn.
Chen DingClinical Research Center for Cell-based Immunotherapy of Shanghai Pudong Hospital, Fudan University Pudong Medical Center, State Key Laboratory of Genetics and Development of Complex Phenotypes, School of Life Sciences, Human Phenome Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China. chend@fudan.edu.cn.

Funding

Major Project of Special Development Funds of Zhangjiang National Independent Innovation Demonstration Zone ZJ2019-ZD-004National Key Research and Development Program of China 2022YFA1303200National Key Research and Development Program of China Stem Cell and Translational Research 2022YFA1303201National Natural Science Foundation of China 32330062National Natural Science Foundation of China 32471498Program of Shanghai Academic/Technology Research Leader 22XD1420100Shanghai Municipal Science and Technology Major Project 2023SHZDZX02Young Scientists Fund of the National Natural Science Foundation of China 32201212
6 · The paper itself

Abstract

The spatial proteomic profiling of complex tissues is essential for investigating cellular function in physiological and pathological states. However, the imbalance among resolution, protein coverage, and expense precludes their systematic application to analyze whole tissue sections in an unbiased manner and with high resolution. Here, we introduce panoramic spatial enhanced resolution proteomics (PSERP), a method that combines tissue expansion, automated sample segmentation, and tryptic digestion with high-throughput proteomic profiling. The PSERP approach facilitates rapid quantitative profiling of proteomic spatial variability in whole tissue sections at sub-millimeter resolution. We demonstrated the utility of this method for determining the streamlined large-scale spatial proteomic features of gliomas. Specifically, we profiled spatial proteomic features for nine glioma samples across three different mutation types (IDH1-WT/EGFR-mutant, IDH1-mutant, and IDH1/EGFR-double-WT gliomas) at sub-millimeter resolution (corresponding to a total of 2,230 voxels). The results revealed over 10,000 proteins identified in a single slide, which helps us to portray the diverse proteins and pathways with spatial abundance patterns in the context of tumor heterogeneity and cellular features. Our spatial proteomic data revealed distinctive proteomic features of malignant and non-malignant tumor regions and depicted the distribution of proteins from tumor centers to tumor borders and non-malignant tumor regions. Through integrative analysis with single-cell transcriptomic data, we elucidated the cellular composition and cell-cell communications in a spatial context. Our PSERP also includes a spatially resolved tumor-specific peptidome identification workflow that not only enables us to elucidate the spatial expression patterns of tumor-specific peptides in glioma samples with different genomic types but also provides us with opportunities to select combinations of tumor-specific mutational peptides whose expression could cover the maximum tumor regions for future immune therapies. We further demonstrated that combining tumor-specific peptides might enhance the efficacy of immunotherapy in both patient-derived cell (PDC) and patient-derived xenograft (PDX) models. PSERP efficiently retains precise spatial proteomic information within the tissue context and provides a deeper understanding of tissue biology and pathology at the molecular level.

Indexed as

Brain NeoplasmsGliomaProteomicsAnimalsHumansMiceMutationGliomaSpatial proteomicsTumor heterogeneityTumor microenvironment

Identifiers

PMID40420200
PMCPMC12107887

What OpenQuestion holds

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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.