Neural-progenitor-like (NPC-like) and OPC-like glioma cell states神经前体样（NPC 样）与少突前体样（OPC 样）胶质瘤细胞状态
Review pending待审阅 Version 0.1.0 · status: draft · last expert review: not yet reviewed版本 0.1.0 · 状态：初稿 · 最近专家审阅：尚未审阅
Research question研究问题
- What are NPC-like and OPC-like cells in glioblastoma?GBM 中的 NPC 样与 OPC 样细胞是什么？
- Do glioma cells follow a neurodevelopmental hierarchy?胶质瘤细胞是否遵循神经发育层级？
- Are progenitor-like states found in other gliomas such as H3K27M diffuse midline glioma?H3K27M 弥漫中线胶质瘤等其他胶质瘤中也有前体样状态吗？
Current understanding当前认识
NPC-like and OPC-like are two of the four malignant GBM states described by Neftel et al., resembling neural and oligodendrocyte progenitors. Related work describes a progenitor-centred neurodevelopmental hierarchy in GBM and OPC-like programs in H3K27M gliomas; links between these frameworks remain partly unresolved.NPC 样与 OPC 样是 Neftel 等描述的 GBM 四种恶性状态中的两种，分别类似神经前体与少突胶质前体细胞。相关研究描述了 GBM 中以前体细胞为中心的神经发育层级，以及 H3K27M 胶质瘤中的 OPC 样程序；这些框架之间的对应关系仍未完全厘清。
In the Neftel framework, NPC-like and OPC-like states recapitulate neural progenitor and oligodendrocyte progenitor programs; CDK4 amplification and PDGFRA amplification each favour a defined state (NPC-like and OPC-like respectively), and cells can move between states.在 Neftel 框架中，NPC 样与 OPC 样状态分别重现神经前体与少突胶质前体程序；CDK4 扩增与 PDGFRA 扩增分别偏向特定状态（NPC 样与 OPC 样），且细胞可在状态间转换。 VC0059
Comparing 53,586 adult GBM cells with 22,637 normal fetal brain cells, Couturier et al. found a conserved neural tri-lineage cancer hierarchy centred on glial progenitor-like cells, which contained most cycling cells and, by RNA velocity, often appeared to originate the other cell types.Couturier 等将 53,586 个成人 GBM 细胞与 22,637 个正常胎脑细胞比较，发现以胶质前体样细胞为中心的保守神经三谱系癌症层级；该前体群体包含大多数增殖细胞，RNA 速度分析提示其常为其他细胞类型的起源。 VC0068
Single-cell studies of H3K27M gliomas describe OPC-like developmental programs, and later work mapped tumor cell states and spatial organisation of H3-K27M diffuse midline glioma across ages and locations; IDH-mutant gliomas show their own lineage and microenvironment structure.H3K27M 胶质瘤的单细胞研究描述了 OPC 样发育程序，后续研究绘制了不同年龄与部位 H3-K27M 弥漫中线胶质瘤的细胞状态与空间组织；IDH 突变型胶质瘤则有其自身的谱系与微环境结构。 VC0064 VC0065 VC0063 VC0090
Modelling status: single-cell foundation models can embed cells so that such states could in principle be located, and scFOCAL predicts state-specific drug sensitivity (identifying an OLIG2 inhibitor plus Depatux-M combination), but no model in the library predicts NPC/OPC-like state dynamics under treatment in patients.建模现状：单细胞基础模型可将细胞嵌入表征空间，理论上能定位此类状态；scFOCAL 可预测状态特异的药物敏感性（并发现 OLIG2 抑制剂联合 Depatux-M 的组合），但文献库中尚无模型能预测患者治疗下 NPC/OPC 样状态的动态。 VC0008 VC0009 VC0132
Evidence map证据图谱
Primary studies & datasets原始研究与数据集
- VC0059 An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. — Neftel C et al., Cell, 2019
- VC0068 Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. — Couturier CP et al., Nature communications, 2020
- VC0064 Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq. — Filbin MG et al., Science (New York, N.Y.), 2018
- VC0065 The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location. — Liu I et al., Nature genetics, 2022
- VC0063 Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. — Venteicher AS et al., Science (New York, N.Y.), 2017
- VC0090 A State-Resolved Single-Cell and Spatial Atlas Reveals IDH-Associated Differences in Malignant and Immune Architecture in Diffuse Glioma. — Zaman A et al., MedComm, 2026
- VC0060 Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap. — Ruiz-Moreno C et al., Neuro-oncology, 2025
Related models & tools相关模型与工具
- VC0132 Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations — Suter et al., Nature Communications, 2026
- VC0008 scGPT: toward building a foundation model for single-cell multi-omics using generative AI. — Cui H, Wang C, Maan H, Pang K, Luo F, Duan N, Wang B., Nature methods, 2024
- VC0009 Transfer learning enables predictions in network biology. — Theodoris CV, Xiao L, Chopra A, Chaffin MD, Al Sayed ZR, Hill MC, Mantineo H, Brydon EM, Zeng Z, Liu XS, Ellinor PT., Nature, 2023
Perturbation & validation evidence扰动与验证证据
- VC0050 Zero-shot evaluation reveals limitations of single-cell foundation models. — Kedzierska KZ, Crawford L, Amini AP, Lu AX., Genome biology, 2025
- VC0067 A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. — Jacob F et al., Cell, 2019
12 library items cited on this page; 0 are preprints (not peer reviewed).本页引用文献库条目 12 条，其中预印本（未经同行评审）0 条。
What remains uncertain尚不确定之处
How Couturier’s progenitor hierarchy maps onto Neftel’s NPC-like/OPC-like states has not been settled by a single cross-study analysis in the library.Couturier 的前体层级如何对应 Neftel 的 NPC 样/OPC 样状态，文献库中尚无一项跨研究分析给出定论。 VC0068 VC0059
Programs in H3K27M or IDH-mutant gliomas may not be equivalent to GBM states despite similar names.H3K27M 或 IDH 突变型胶质瘤中的程序即便名称相近，也未必等同于 GBM 状态。 VC0064 VC0063
Zero-shot use of foundation-model embeddings to identify states has known limitations.直接（零样本）使用基础模型嵌入识别状态存在已知局限。 VC0050
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.仅供科研与教育参考，不构成医疗建议，也不构成对任何诊疗或产品的推荐。患者请咨询主治医生。