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中华细胞与干细胞杂志(电子版) ›› 2026, Vol. 16 ›› Issue (01) : 31 -38. doi: 10.3877/cma.j.issn.2095-1221.2026.01.004

综述

单细胞测序在髓母细胞瘤微环境及转移复发研究中的应用
高嘉钰1,4, 张焕磊2, 韩发彬1,3,()   
  1. 1262500 潍坊,山东第二医科大学附属益都中心医院转化医学实验室
    2262500 潍坊,山东第二医科大学附属益都中心医院医学影像科
    3252000 聊城,山东第一医科大学附属聊城医院干细胞与再生医学实验室
    4100049 北京,中国科学院大学生命科学学院
  • 收稿日期:2025-06-09 出版日期:2026-02-01
  • 通信作者: 韩发彬
  • 基金资助:
    潍坊市科学技术发展计划(医学类)(2023YX114); 山东第二医科大学附属医院科技发展项目(2023FYQ020); 潍坊市益都中心医院引进人才基金(RC2023-09)

The application of single-cell sequencing in the study of the microenvironment and metastasis and recurrence of medulloblastoma

Jiayu Gao1,4, Huanlei Zhang2, Fabin Han1,3,()   

  1. 1Translational Medicine Laboratory, Yidu Central Hospital, Shandong Second Medical University, Weifang 262500, China
    2Department of Medical Imaging, Yidu Central Hospital, Shandong Second Medical University, Weifang 262500, China
    3The Institute for Tissue Engineerings and Regenerative Medicine, Liaocheng Hospital Affiliated to Shandong First Medical University, Liaocheng 252000, China
    4College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2025-06-09 Published:2026-02-01
  • Corresponding author: Fabin Han
引用本文:

高嘉钰, 张焕磊, 韩发彬. 单细胞测序在髓母细胞瘤微环境及转移复发研究中的应用[J/OL]. 中华细胞与干细胞杂志(电子版), 2026, 16(01): 31-38.

Jiayu Gao, Huanlei Zhang, Fabin Han. The application of single-cell sequencing in the study of the microenvironment and metastasis and recurrence of medulloblastoma[J/OL]. Chinese Journal of Cell and Stem Cell(Electronic Edition), 2026, 16(01): 31-38.

髓母细胞瘤(MB)是儿童最常见的恶性脑肿瘤,当前临床常规治疗以手术切除、放射治疗及化疗为主。然而,肿瘤细胞的异质性及其与复杂微环境的相互作用增加精准治疗的难度,导致传统干预手段疗效受限,患者预后仍面临较大挑战。近年来,单细胞转录组测序(scRNA-seq)技术的突破性发展,为解析MB生物学机制和治疗靶点选择提供高分辨率研究工具。该技术通过单细胞基因表达谱分析,在单细胞水平揭示MB肿瘤细胞亚群的异质性谱系特征及微环境动态演变规律。本文系统综述scRNA-seq在MB肿瘤异质性以及微环境特征的最新研究进展,并探讨上述发现对于解析MB生物学机制及发掘其临床治疗价值的意义。同时针对scRNA-seq面临的肿瘤样本异质性捕获效率、空间转录组整合分析等挑战,并展望其在MB精准诊疗中的研究方向与应用潜力。

Medulloblastoma (MB) is the most common malignant brain tumor in children. Currently, the conventional clinical treatments mainly include surgical resection, radiotherapy and chemotherapy. However, the heterogeneity of tumor cells and their interaction with complex microenvironments significantly increase the difficulty of precise treatment, leading to limited efficacy of traditional intervention methods and great challenges for patient prognosis. In recent years, the breakthrough development of single-cell RNA sequencing (scRNA-seq) technology has provided high-resolution research tools for understanding the biological mechanism of MB and the selection of therapeutic targets. This technology reveals the heterogeneous lineage characteristics and the dynamic evolution patterns of the microenvironment of MB tumor cell subtypes at the single-cell level through single-cell gene expression profiling analysis. This article systematically reviews the latest research progress of scRNA-seq in the heterogeneity of MB and the characteristics of the microenvironment, and explores the significance of these findings for understanding the biological mechanism of MB and its potential application value in clinical treatment. Meanwhile, in view of the challenges faced by scRNA-seq, such as the capture efficiency of tumor sample heterogeneity and the integration analysis of spatial transcriptomes, this review proposes its future research directions and application potential for the precise diagnosis and treatment of MB.

表1 髓母细胞瘤的临床特征
图1 髓母细胞瘤肿瘤微环境细胞组成
表2 髓母细胞瘤微环境细胞作用及其治疗靶点
1
Pollack IF, Boyett JM, Yates AJ, et al. The influence of central review on outcome associations in childhood malignant gliomas: results from the CCG-945 experience[J]. Neuro Oncol, 2003, 5(3):197-207.
2
Taylor MD, Northcott PA, Korshunov A, et al. Molecular subgroups of medulloblastoma: the current consensus[J]. Acta Neuropathol, 2012, 123(4):465-472.
3
Ramaswamy V, Remke M, Bouffet E, et al. Risk stratification of childhood medulloblastoma in the molecular era: the current consensus[J]. Acta Neuropathol, 2016, 131(6):821-831.
4
Chien F, Michaud ME, Bakhtiari M, et al. Medulloblastoma spatial transcriptomics reveals tumor microenvironment heterogeneity with high-density progenitor cell regions correlating with high-risk disease[J]. bioRxiv, 2024.06.25.600684.
5
Pawar JS, Salam MA, Dipto MSU, et al. Cancer-associated fibroblasts: Immunosuppressive crosstalk with tumor-infiltrating immune cells and implications for therapeutic resistance[J]. Cancers (Basel), 2025, 17(15):2484.
6
Ho DW, Tsui Y, Chan L, et al. Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma[J]. Nat Commun, 2021, 12(1):3684.
7
Lai H, Cheng X, Liu Q, et al. Single-cell RNA sequencing reveals the epithelial cell heterogeneity and invasive subpopulation in human bladder cancer[J]. Int J Cancer, 2021, 149(12):2099-2115.
8
Liu H, Zhang J, Wang Z, et al. High cellular plasticity state of medulloblastoma local recurrence and distant dissemination[J]. Cell Rep Med, 2025, 6(1):101914.
9
Northcott PA, Korshunov A, Witt H, et al. Medulloblastoma comprises four distinct molecular variants[J]. J Clin Oncol, 2011, 29(11):1408-1414.
10
Ellison DW, Dalton J, Kocak M, et al. Medulloblastoma: clinicopathological correlates of SHH, WNT, and non-SHH/WNT molecular subgroups[J]. Acta Neuropathol, 2011, 121(3):381-396.
11
Pugh TJ, Weeraratne SD, Archer TC, et al. Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations[J]. Nature, 2012, 488(7409):106-110.
12
Robinson G, Parker M, Kranenburg TA, et al. Novel mutations target distinct subgroups of medulloblastoma[J]. Nature, 2012, 488(7409):43-48.
13
Jessa S, Blanchet-Cohen A, Krug B, et al. Stalled developmental programs at the root of pediatric brain tumors[J]. Nat Genet, 2019, 51(12):1702-1713.
14
Cho Y, Tsherniak A, Tamayo P, et al. Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome[J]. J Clin Oncol, 2011, 29(11):1424-1430.
15
Zhukova N, Ramaswamy V, Remke M, et al. Subgroup-specific prognostic implications of TP53 mutation in medulloblastoma[J]. J Clin Oncol, 2013, 31(23):2927-2935.
16
Oliver TG, Read TA, Kessler JD, et al. Loss of patched and disruption of granule cell development in a pre-neoplastic stage of medulloblastoma[J]. Development, 2005, 132(10):2425-2439.
17
Yang Z, Ellis T, Markant SL, et al. Medulloblastoma can be initiated by deletion of Patched in lineage-restricted progenitors or stem cells[J]. Cancer Cell, 2008, 14(2):135-145.
18
Zhang L, He X, Liu X, et al. Single-cell transcriptomics in medulloblastoma reveals tumor-initiating progenitors and oncogenic cascades during tumorigenesis and relapse[J]. Cancer Cell, 2019, 36(3): 302-318.
19
Tamayo P, Cho Y, Tsherniak A, et al. Predicting relapse in patients with medulloblastoma by integrating evidence from clinical and genomic features[J]. J Clin Oncol, 2011, 29(11):1415-1423.
20
Shih DJH, Northcott PA, Remke M, et al. Cytogenetic prognostication within medulloblastoma subgroups[J]. J Clin Oncol, 2014, 32(9):886-896.
21
Hendrikse LD, Haldipur P, Saulnier O, et al. Failure of human rhombic lip differentiation underlies medulloblastoma formation[J]. Nature, 2022, 609(7929):1021-1028.
22
Smith KS, Bihannic L, Gudenas BL, et al. Unified rhombic lip origins of group 3 and group 4 medulloblastoma[J]. Nature, 2022, 609(7929):1012-1020.
23
Okonechnikov K, Joshi P, Korber V, et al. Oncogene aberrations drive medulloblastoma progression, not initiation[J]. Nature, 2025, 642(8069):1062-1072.
24
Itzhak DN, Davies C, Tyanova S, et al. A mass spectrometry-based approach for mapping protein subcellular localization reveals the spatial proteome of mouse primary neurons[J]. Cell Rep, 2017, 20(11):2706-2718.
25
Capdeville C, Russo L, Penton D, et al. Spatial proteomics finds CD155 and Endophilin-A1 as mediators of growth and invasion in medulloblastoma[J]. Life Sci Alliance, 2022, 5(6):e202201380.
26
Margol AS, Robison NJ, Gnanachandran J, et al. Tumor-associated macrophages in SHH subgroup of medulloblastomas[J]. Clin Cancer Res, 2015, 21(6):1457-1465.
27
Pham CD, Mitchell DA. Know your neighbors: different tumor microenvironments have implications in immunotherapeutic targeting strategies across MB subgroups[J]. Oncoimmunology, 2016, 5(11):e1144002.
28
Bockmayr M, Mohme M, Klauschen F, et al. Subgroup-specific immune and stromal microenvironment in medulloblastoma[J]. Oncoimmunology, 2018, 7(9):e1462430.
29
Grabovska Y, Mackay A, O'Hare P, et al. Pediatric pan-central nervous system tumor analysis of immune-cell infiltration identifies correlates of antitumor immunity[J]. Nat Commun, 2020, 11(1):4324.
30
Chen Y, McAndrews KM, Kalluri R. Clinical and therapeutic relevance of cancer-associated fibroblasts[J]. Nat Rev Clin Oncol, 2021, 18(12):792-804.
31
Abeysundara N, Rasnitsyn A, Fong V, et al. Metastatic medulloblastoma remodels the local leptomeningeal microenvironment to promote further metastatic colonization and growth[J]. Nat Cell Biol, 2025, 27(5):863-874.
32
Pokrajac NT, Tokarew NJA, Gurdita A, et al. Meningeal macrophages inhibit chemokine signaling in pre-tumor cells to suppress mouse medulloblastoma initiation[J]. Dev Cell, 2023, 58(20):2015-2031.
33
Maimela NR, Liu S, Zhang Y. Fates of CD8+ T cells in tumor microenvironment[J]. Comput Struct Biotechnol J, 2019, 17:1-13.
34
Anderson NM, Simon MC. The tumor microenvironment[J]. Curr Biol, 2020, 30(16):R921-R925.
35
Salsman VS, Chow KKH, Shaffer DR, et al. Crosstalk between medulloblastoma cells and endothelium triggers a strong chemotactic signal recruiting T lymphocytes to the tumor microenvironment[J]. PLoS One, 2011, 6(5):e20267.
36
Haberthur K, Brennan K, Hoglund V, et al. NKG2D ligand expression in pediatric brain tumors[J]. Cancer Biol Ther, 2016, 17(12):1253-1265.
37
Han D, Chen X, Jin X, et al. Multi-omics approach reveals the impact of prognosis model-related genes on the tumor microenvironment in medulloblastoma[J]. Front Oncol, 2025, 15:1477617.
38
Dehne N, Mora J, Namgaladze D, et al. Cancer cell and macrophage cross-talk in the tumor microenvironment[J]. Curr Opin Pharmacol, 2017, 35:12-19.
39
Feng X, Szulzewsky F, Yerevanian A, et al. Loss of CX3CR1 increases accumulation of inflammatory monocytes and promotes gliomagenesis[J]. Oncotarget, 2015, 6(17):15077-15094.
40
Mantovani A, Marchesi F, Malesci A, et al. Tumour-associated macrophages as treatment targets in oncology[J]. Nat Rev Clin Oncol, 2017, 14(7):399-416.
41
Ye X, Xu S, Xin Y, et al. Tumor-associated microglia/macrophages enhance the invasion of glioma stem-like cells via TGF-beta1 signaling pathway[J]. J Immunol, 2012, 189(1):444-453.
42
Fridman WH, Zitvogel L, Sautes-Fridman C, et al. The immune contexture in cancer prognosis and treatment[J]. Nat Rev Clin Oncol, 2017, 14(12):717-734.
43
Gieryng A, Pszczolkowska D, Walentynowicz KA, et al. Immune microenvironment of gliomas[J]. Lab Invest, 2017, 97(5):498-518.
44
Wenes M, Shang M, Di Matteo M, et al. Macrophage metabolism controls tumor blood vessel morphogenesis and metastasis[J]. Cell Metab, 2016, 24(5):701-715.
45
Hussain SF, Yang D, Suki D, et al. The role of human glioma-infiltrating microglia/macrophages in mediating antitumor immune responses[J]. Neuro Oncol, 2006, 8(3):261-279.
46
Engler JR, Robinson AE, Smirnov I, et al. Increased microglia/macrophage gene expression in a subset of adult and pediatric astrocytomas[J]. PLoS One, 2012,7(8):e43339.
47
Kurdi M, Alghamdi B, Butt NS, et al. The relationship between CD204 (M2)-polarized tumour-associated macrophages (TAMs), tumour-infiltrating lymphocytes (TILs), and microglial activation in glioblastoma microenvironment: a novel immune checkpoint receptor target[J]. Discov Oncol, 2021, 12(1):28.
48
Bloch O, Crane CA, Kaur R, et al. Gliomas promote immunosuppression through induction of B7-H1 expression in tumor-associated macrophages[J]. Clin Cancer Res, 2013, 19(12):3165-3175.
49
Noman MZ, Desantis G, Janji B, et al. PD-L1 is a novel direct target of HIF-1alpha, and its blockade under hypoxia enhanced MDSC-mediated T cell activation[J]. J Exp Med, 2014, 211(5):781-790.
50
O'Connor T, Heikenwalder M. CCL2 in the tumor microenvironment[J]. Adv Exp Med Biol, 2021, 1302:1-14.
51
Maximov V, Chen Z, Wei Y, et al. Tumour-associated macrophages exhibit anti-tumoural properties in Sonic Hedgehog medulloblastoma [J]. Nat Commun, 2019, 10(1):2410.
52
Crotty EE, Smith SMC, Brasel K, et al. Medulloblastoma recurrence and metastatic spread are independent of colony-stimulating factor 1 receptor signaling and macrophage survival[J]. J Neurooncol, 2021, 153(2):225-237.
53
Lee C, Lee J, Choi S A, et al. M1 macrophage recruitment correlates with worse outcome in SHH Medulloblastomas[J]. BMC Cancer, 2018, 18(1):535.
54
Burda JE, Sofroniew MV. Reactive gliosis and the multicellular response to CNS damage and disease[J]. Neuron, 2014, 81(2):229-248.
55
Liu Y, Yuelling L W, Wang Y, et al. Astrocytes promote medulloblastoma progression through hedgehog secretion[J]. Cancer Res, 2017, 77(23):6692-6703.
56
Henrik Heiland D, Ravi VM, Behringer SP, et al. Tumor-associated reactive astrocytes aid the evolution of immunosuppressive environment in glioblastoma[J]. Nat Commun, 2019, 10(1):2541.
57
Brandao M, Simon T, Critchley G, et al. Astrocytes, the rising stars of the glioblastoma microenvironment[J]. Glia, 2019,67(5):779-790.
58
Yao M, Ventura PB, Jiang Y, et al. Astrocytic trans-differentiation completes a multicellular paracrine feedback loop required for medulloblastoma tumor growth[J]. Cell, 2020, 180(3):502-520.
59
Placone AL, Quinones-Hinojosa A, Searson PC. The role of astrocytes in the progression of brain cancer: complicating the picture of the tumor microenvironment[J]. Tumour Biol, 2016, 37(1):61-69.
60
Li P, Lee EH, Du F, et al. Nestin mediates hedgehog pathway tumorigenesis[J]. Cancer Res, 2016, 76(18):5573-5583.
61
Du F, Yuelling L, Lee EH, et al. Leukotriene synthesis is critical for medulloblastoma progression[J]. Clin Cancer Res, 2019, 25(21):6475-6486.
62
Cheng Y, Franco-Barraza J, Wang Y, et al. Sustained hedgehog signaling in medulloblastoma tumoroids is attributed to stromal astrocytes and astrocyte-derived extracellular matrix[J]. Lab Invest, 2020, 100(9):1208-1222.
63
Gronseth E, Gupta A, Koceja C, et al. Astrocytes influence medulloblastoma phenotypes and CD133 surface expression[J]. PLoS One, 2020, 15(7):e235852.
64
Liu H, Sun Y, O'Brien J A, et al. Necroptotic astrocytes contribute to maintaining stemness of disseminated medulloblastoma through CCL2 secretion[J]. Neuro Oncol, 2020, 22(5):625-638.
65
Li H, Liu Y, Liu Y, et al. Tumor-associated astrocytes promote tumor progression of Sonic Hedgehog medulloblastoma by secreting lipocalin-2[J]. Brain Pathol, 2024, 34(1):e13212.
66
Guo D, Wang Y, Cheng Y, et al. Tumor cells generate astrocyte-like cells that contribute to SHH-driven medulloblastoma relapse[J]. J Exp Med, 2021, 218(9):e20202350..
67
Li J, Liu H, Wang Z, et al. Unveiling spatial heterogeneity in medulloblastoma: a multi-omics analysis of cellular state and geographical organization[J]. Neuro Oncol, 2025, 27(6):1611-1627.
68
Hernandez-Camarero P, Jimenez G, Lopez-Ruiz E, et al. Revisiting the dynamic cancer stem cell model: importance of tumour edges[J]. Crit Rev Oncol Hematol, 2018, 131:35-45.
69
Hernandez-Camarero P, Lopez-Ruiz E, Marchal JA, et al. Cancer: a mirrored room between tumor bulk and tumor microenvironment[J]. J Exp Clin Cancer Res, 2021, 40(1):217.
70
Parra ER. Methods to determine and analyze the cellular spatial distribution extracted from multiplex immunofluorescence data to understand the tumor microenvironment[J]. Front Mol Biosci, 2021, 8:668340.
71
Li Y, Lim C, Dismuke T, et al. Suppressing recurrence in Sonic Hedgehog subgroup medulloblastoma using the OLIG2 inhibitor CT-179[J]. Nat Commun, 2025, 16(1):1091.
72
Veo B, Wang D, DeSisto J, et al. Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma[J]. Res Sq, 2024, rs-5522707.
73
Borgenvik A, Holmberg KO, Bolin S, et al. Dormant sox9-positive cells facilitate myc-driven recurrence of medulloblastoma[J]. Cancer Res, 2022, 82(24):4586-4603.
74
Nor C, Kharas K, Rasnitsyn A, et al. Therapeutic radiation drives leptomeningeal dissemination of medulloblastoma through an innate immune process[J]. Dev Cell, 2025, 60(21):2880-2896.e7.
75
Morrissy AS, Garzia L, Shih DJH, et al. Divergent clonal selection dominates medulloblastoma at recurrence[J]. Nature, 2016, 529(7586):351-357.
76
Ramaswamy V, Remke M, Bouffet E, et al. Recurrence patterns across medulloblastoma subgroups: an integrated clinical and molecular analysis[J]. Lancet Oncol, 2013, 14(12):1200-1207.
77
Hill RM, Kuijper S, Lindsey JC, et al. Combined MYC and P53 defects emerge at medulloblastoma relapse and define rapidly progressive, therapeutically targetable disease[J]. Cancer Cell, 2015, 27(1):72-84.
78
Kats I, Simovic-Lorenz M, Schreiber HS, et al. Spatio-temporal transcriptomics of chromothriptic SHH-medulloblastoma identifies multiple genetic clones that resist treatment and drive relapse[J]. Nat Commun, 2024, 15(1):10370.
79
Fults DW, Taylor MD, Garzia L. Leptomeningeal dissemination: a sinister pattern of medulloblastoma growth[J]. J Neurosurg Pediatr, 2019, 23(5):613-621.
80
Hovestadt V, Smith KS, Bihannic L, et al. Resolving medulloblastoma cellular architecture by single-cell genomics[J]. Nature, 2019, 572(7767):74-79.
81
Ravi VM, Will P, Kueckelhaus J, et al. Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma[J]. Cancer Cell, 2022, 40(6):639-655.
82
Chen A, Liao S, Cheng M, et al. Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays[J]. Cell, 2022, 185(10):1777-1792.
83
Moses L, Pachter L. Museum of spatial transcriptomics[J]. Nat Methods, 2022, 19(5):534-546.
84
Yang M, Ong J, Meng F, et al. Spatiotemporal insight into early pregnancy governed by immune-featured stromal cells[J]. Cell, 2023, 186(20):4271-4288.
85
Li X, Andrusivova Z, Czarnewski P, et al. Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin[J]. Nat Neurosci, 2023, 26(5):891-901.
86
Ciortan M, Defrance M. GNN-based embedding for clustering scRNA-seq data[J]. Bioinformatics, 2022, 38(4):1037-1044.
87
Zhang F, Shen Z, Huang S, et al. SpaInGNN: enhanced clustering and integration of spatial transcriptomics based on refined graph neural networks[J]. Methods, 2025, 233:42-51.
88
Fan X, Liu J, Yang Y, et al. scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network[J]. Commun Biol, 2024, 7(1):1463.
89
Hansen BC, Arian CM, Zeng Y, et al. Leveraging RNA-seq deconvolution to improve complex in vitro model characterization[J]. J Biol Chem, 2025, 301(9):110510.
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[14] 令狐恩强. 超级微创切除实体肿瘤再认识[J/OL]. 中华胃肠内镜电子杂志, 2025, 12(04): 217-219.
[15] 边孜力, 刘仕锦, 张怡然, 潘运龙. 肥胖相关肿瘤免疫治疗研究进展[J/OL]. 中华肥胖与代谢病电子杂志, 2025, 11(03): 249-255.
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