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Andrieux, Geoffroy; Das, Tonmoy; Griffin, Michaela; Straehle, Jakob; Paine, Simon M L; Beck, Jürgen; Boerries, Melanie; Heiland, Dieter H; Smith, Stuart J; Rahman, Ruman; Chakraborty, Sajib
Spatially resolved transcriptomic profiles reveal unique defining molecular features of infiltrative 5ALA-metabolizing cells associated with glioblastoma recurrence Journal Article
In: Genome Med., vol. 15, no. 1, pp. 48, 2023.
Abstract | Tags: 5ALA, Glioblastoma, Glycolysis, Mesenchymal subtype, Myeloid, Recurrence, Spatial transcriptomics, Wound response
@article{Andrieux2023-pw,
title = {Spatially resolved transcriptomic profiles reveal unique
defining molecular features of infiltrative 5ALA-metabolizing
cells associated with glioblastoma recurrence},
author = {Geoffroy Andrieux and Tonmoy Das and Michaela Griffin and Jakob Straehle and Simon M L Paine and J\"{u}rgen Beck and Melanie Boerries and Dieter H Heiland and Stuart J Smith and Ruman Rahman and Sajib Chakraborty},
year = {2023},
date = {2023-07-01},
journal = {Genome Med.},
volume = {15},
number = {1},
pages = {48},
publisher = {Springer Science and Business Media LLC},
abstract = {BACKGROUND: Spatiotemporal heterogeneity originating from
genomic and transcriptional variation was found to contribute to
subtype switching in isocitrate dehydrogenase-1 wild-type
glioblastoma (GBM) prior to and upon recurrence.
Fluorescence-guided neurosurgical resection utilizing
5-aminolevulinic acid (5ALA) enables intraoperative
visualization of infiltrative tumors outside the magnetic
resonance imaging contrast-enhanced regions. The cell population
and functional status of tumor responsible for enhancing
5ALA-metabolism to fluorescence-active PpIX remain elusive. The
close spatial proximity of 5ALA-metabolizing (5ALA +) cells to
residual disease remaining post-surgery renders 5ALA + biology
an early a priori proxy of GBM recurrence, which is poorly
understood. METHODS: We performed spatially resolved bulk RNA
profiling (SPRP) analysis of unsorted Core, Rim, Invasive margin
tissue, and FACS-isolated 5ALA + /5ALA - cells from the invasive margin across IDH-wt GBM patients (N = 10) coupled with
histological, radiographic, and two-photon excitation
fluorescence microscopic analyses. Deconvolution of SPRP
followed by functional analyses was performed using CIBEROSRTx
and UCell enrichment algorithms, respectively. We further
investigated the spatial architecture of 5ALA + enriched regions
by analyzing spatial transcriptomics from an independent IDH-wt GBM cohort (N = 16). Lastly, we performed survival analysis
using Cox Proportinal-Hazards model on large GBM cohorts.
RESULTS: SPRP analysis integrated with single-cell and spatial
transcriptomics uncovered that the GBM molecular subtype
heterogeneity is likely to manifest regionally in a
cell-type-specific manner. Infiltrative 5ALA + cell
population(s) harboring transcriptionally concordant GBM and
myeloid cells with mesenchymal subtype, -active wound response,
and glycolytic metabolic signature, was shown to reside within
the invasive margin spatially distinct from the tumor core. The
spatial co-localization of the infiltrating MES GBM and myeloid
cells within the 5ALA + region indicates PpIX fluorescence can
effectively be utilized to resect the immune reactive zone
beyond the tumor core. Finally, 5ALA + gene signatures were
associated with poor survival and recurrence in GBM, signifying
that the transition from primary to recurrent GBM is not
discrete but rather a continuum whereby primary infiltrative
5ALA + remnant tumor cells more closely resemble the eventual
recurrent GBM. CONCLUSIONS: Elucidating the unique molecular and
cellular features of the 5ALA + population within tumor invasive
margin opens up unique possibilities to develop more effective
treatments to delay or block GBM recurrence, and warrants
commencement of such treatments as early as possible
post-surgical resection of the primary neoplasm.},
keywords = {5ALA, Glioblastoma, Glycolysis, Mesenchymal subtype, Myeloid, Recurrence, Spatial transcriptomics, Wound response},
pubstate = {published},
tppubtype = {article}
}
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