Molecular crosstalk between tumour and brain parenchyma instructs histopathological features in glioblastoma

被引:55
|
作者
Bougnaud, Sebastien [1 ]
Golebiewska, Anna [1 ]
Oudin, Anais [1 ]
Keunen, Olivier [1 ]
Harter, Patrick N. [2 ]
Maeder, Lisa [2 ]
Azuaje, Francisco [1 ]
Fritah, Sabrina [1 ]
Stieber, Daniel [1 ]
Kaoma, Tony [3 ]
Vallar, Laurent [3 ]
Brons, Nicolaas H. C. [4 ]
Daubon, Thomas [5 ,7 ]
Miletic, Hrvoje [7 ,8 ,9 ]
Sundstrom, Terje [8 ,10 ,11 ]
Herold-Mende, Christel [6 ]
Mittelbronn, Michel [4 ]
Bjerkvig, Rolf [1 ,7 ,8 ]
Niclou, Simone P. [1 ,8 ]
机构
[1] Luxembourg Inst Hlth, Dept Oncol, NORLUX Neurooncol Lab, Luxembourg, Luxembourg
[2] Goethe Univ Frankfurt, Neurol Inst, Edinger Inst, D-60054 Frankfurt, Germany
[3] Luxembourg Inst Hlth, Dept Oncol, Genom & Prote Res Unit, Luxembourg, Luxembourg
[4] Luxembourg Inst Hlth, Dept Immunol, Core Facil Flow Cytometry, Luxembourg, Luxembourg
[5] Univ Bordeaux, INSERM, U1029, Angiogenesis & Canc Microenvironm Lab, Talence, France
[6] Heidelberg Univ, Dept Neurosurg, Div Neurosurg Res, Heidelberg, Germany
[7] Univ Bergen, Dept Biomed, NORLUX Neurooncol, N-5020 Bergen, Norway
[8] Univ Bergen, Dept Biomed, KG Jebsen Brain Tumour Res Ctr, Bergen, Norway
[9] Haukeland Hosp, Dept Pathol, N-5021 Bergen, Norway
[10] Univ Bergen, Dept Clin Med K1, Bergen, Norway
[11] Haukeland Hosp, Dept Neurosurg, N-5021 Bergen, Norway
关键词
glioblastoma; patient-derived xenograft; tumour microenvironment; endothelial cells; angiogenesis; GROWTH-FACTOR-BETA; TGF-BETA; CELLS; ANGIOGENESIS; EXPRESSION; MODELS; MICROENVIRONMENT; MECHANISMS; PREDICTION; INVASION;
D O I
10.18632/oncotarget.7454
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The histopathological and molecular heterogeneity of glioblastomas represents a major obstacle for effective therapies. Glioblastomas do not develop autonomously, but evolve in a unique environment that adapts to the growing tumour mass and contributes to the malignancy of these neoplasms. Here, we show that patient-derived glioblastoma xenografts generated in the mouse brain from organotypic spheroids reproducibly give rise to three different histological phenotypes: (i) a highly invasive phenotype with an apparent normal brain vasculature, (ii) a highly angiogenic phenotype displaying microvascular proliferation and necrosis and (iii) an intermediate phenotype combining features of invasion and vessel abnormalities. These phenotypic differences were visible during early phases of tumour development suggesting an early instructive role of tumour cells on the brain parenchyma. Conversely, we found that tumour-instructed stromal cells differentially influenced tumour cell proliferation and migration in vitro, indicating a reciprocal crosstalk between neoplastic and non-neoplastic cells. We did not detect any transdifferentiation of tumour cells into endothelial cells. Cell type-specific transcriptomic analysis of tumour and endothelial cells revealed a strong phenotype-specific molecular conversion between the two cell types, suggesting co-evolution of tumour and endothelial cells. Integrative bioinformatic analysis confirmed the reciprocal crosstalk between tumour and microenvironment and suggested a key role for TGF beta 1 and extracellular matrix proteins as major interaction modules that shape glioblastoma progression. These data provide novel insight into tumour-host interactions and identify novel stroma-specific targets that may play a role in combinatorial treatment strategies against glioblastoma.
引用
收藏
页码:31955 / 31971
页数:17
相关论文
共 44 条
  • [1] The Histopathological and Molecular Features of Breast Carcinoma with Tumour Budding
    Lloyd, A.
    Ryan, E.
    Boland, M.
    Abd Elwahab, S.
    Malone, C.
    Sweeney, K.
    Barry, K.
    McLaughlin, R.
    Kerin, M. J.
    Lowery, A.
    IRISH JOURNAL OF MEDICAL SCIENCE, 2020, 189 (SUPPL 5) : S129 - S129
  • [2] Deep Learning of Histopathological Features for the Prediction of Tumour Molecular Genetics
    Murchan, Pierre
    O'Brien, Cathal
    O'Connell, Shane
    McNevin, Ciara S.
    Baird, Anne-Marie
    Sheils, Orla
    Broin, Pilib O.
    Finn, Stephen P.
    DIAGNOSTICS, 2021, 11 (08)
  • [3] Analogous survival for patients with glioblastoma diagnosed by either histopathological or molecular features
    Cimino, Patrick J.
    NEURO-ONCOLOGY, 2020, 22 (04) : 437 - 439
  • [4] The potential crosstalk genes and molecular mechanisms between glioblastoma and periodontitis
    Huang, Jian-huang
    Chen, Yao
    Kang, Yuan-bao
    Yao, Zheng-jian
    Song, Jian-hua
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [5] Tumour microenvironment of pancreatic cancer: immune landscape is dictated by molecular and histopathological features
    Eva Karamitopoulou
    British Journal of Cancer, 2019, 121 : 5 - 14
  • [6] THE HISTOPATHOLOGICAL AND MOLECULAR FEATURES OF BREAST CARCINOMA WITH HIGH-GRADE TUMOUR BUDDING
    Lloyd, A.
    Ryan, E.
    Boland, M.
    Abd Elwahab, S. Medani
    Malone, C.
    Sweeney, K.
    Barry, K.
    McLaughlin, R.
    Lowery, A.
    Kerin, M.
    BRITISH JOURNAL OF SURGERY, 2021, 108 : 20 - 20
  • [7] Tumour microenvironment of pancreatic cancer: immune landscape is dictated by molecular and histopathological features
    Karamitopoulou, Eva
    BRITISH JOURNAL OF CANCER, 2019, 121 (01) : 5 - 14
  • [8] The histopathological and molecular features of breast carcinoma with tumour budding—a systematic review and meta-analysis
    Angus J. Lloyd
    Éanna J. Ryan
    Michael R. Boland
    Sami Abd Elwahab
    Carmel Malone
    Karl J. Sweeney
    Kevin M. Barry
    Raymond McLaughlin
    Michael J. Kerin
    Aoife J. Lowery
    Breast Cancer Research and Treatment, 2020, 183 : 503 - 514
  • [9] Prediction Tumour Bed Bleeding Between MRI Features and Histopathological Findings in Atypical Pituitary Adenoma
    Lin, Wei-Ming
    Chen, Wen-Chang
    Chen, Chia-Hui
    Lin, Song-Shei
    Zhang, Lan
    NANOSCIENCE AND NANOTECHNOLOGY LETTERS, 2017, 9 (12) : 2126 - 2132
  • [10] Clinical, histopathological, and molecular features of IDH-wildtype indolent diffuse glioma: comparison with typical glioblastoma
    Suzuki, Hayato
    Ono, Takahiro
    Koyota, Souichi
    Takahashi, Masataka
    Sugai, Tamotsu
    Nanjo, Hiroshi
    Shimizu, Hiroaki
    JOURNAL OF NEURO-ONCOLOGY, 2022, 159 (02) : 397 - 408