Clinical Trial Details
— Status: Recruiting
Administrative data
| NCT number |
NCT05556486 |
| Other study ID # |
K2022-4039 |
| Secondary ID |
|
| Status |
Recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
May 5, 2022 |
| Est. completion date |
May 1, 2025 |
Study information
| Verified date |
September 2022 |
| Source |
Karolinska University Hospital |
| Contact |
Oscar Persson, MD, PhD |
| Phone |
+460812370000 |
| Email |
oscar.persson[@]regionstockholm.se |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The study investigates the occurance of GlioStem positive tumor stem cells in the rescection
marigins of hig grade human gliomas
Description:
Background Glioblastoma (GBM) is the most malignant primary brain tumor with an annual
incidence of around 3 in 100 000. The tumors are often found in a late stage of the disease
and untreated patients have a median survival of only 3 months. Current state-of-the-art
treatment includes maximal surgical resection, followed by concomitant radiochemotherapy.
However, despite state-of-the-art treatment the prognosis remains dismal with median survival
of less than two years. At recurrence, there is no standard of care, and further treatment
including renewed surgery, chemotherapy re-challenge or bevacizumab offers only very limited
prolongation of survival.
Emerging research suggests that failure to target glioma stem cells (GSCs) rather than the
inability to remove tumors through surgery, radiation, or chemotherapy, explains the poor
survival of GBM patients. It is convincingly demonstrated that GSCs possess tumor initiating
abilities. GSCs also seem to escape conventional therapy due to their slow metabolism, and
they can be in quiescent states for long times. GSCs can extend into the healthy tissue from
the actual tumor, which is challenging for the surgeon as the healthy cells and the GSCs
cannot be distinguished in real-time by 5-aminolevulinic acid (5-ALA) fluorescence guided
resection or other proven methods or by other proven methods. Furthermore, as it is known
that GSCs are resistant to chemo- and radiotherapy - and targeting of GSCs significantly
reduces the risk for lethal relapse - being able to detect and eliminate GSCs during tumor
resection would mean a crucial step towards increased patient survival. Hence, there is a
need for better methods for precise removal of GSCs with minimum damage to healthy tissue to
improve GBM prognosis and quality of life of operated patients.
Other studies in vitro and in animal models have pointed to the importance of GSCs for the
recurrence and therapy resistance of gliomas. Targeting these cells specifically or tumor
regions specifically dense in such tumor initiating cells - either macroscopically during a
surgical procedure or with drugs specifically aimed at these subpopulation of cells - may
therefore be an important aim in efficiently preventing tumor regrowth.
Celluminova's core technology is centered around the molecular luminescent biomarker
GlioStem, which, unlike 5-ALA, is indicative of GSCs. GlioStem is an oligothiophene
derivative sprung from research at KI and Linköping University (LiU), which can penetrate
physiological cell membranes and selectively binds to structures inside the GSCs. GlioStem is
conveniently administered onto the investigated tissue or cell culture by a pipette. After
only a few minutes, the GSCs will emit green light from GlioStem molecules under blue
illumination. The high luminescence specificity for the GSCs has been verified in large in
vitro studies, including a great variety of human and animal cells, and in animal models.
Moreover, we have shown that the high GlioStem specificity permits efficient separation of
GSCs from astrocytes and other GBM cells by fluorescence-activated cell sorting (FACS). As
GlioStem detects the quiescent slow-dividing GSCs that are not seen with Gliolan or by other
methods, it can give valuable complementary information to Gliolan during fluorescent-guided
tumor resection. As previously mentioned, it is known that GSCs are resistant to chemo- and
radiotherapy. Therefore, being able to detect and eliminate GSCs during tumor resection would
mean a crucial step towards increased patient survival.
In previous studies, we have shown that the cancer stem cell marker GlioStem can efficiently
and with high specificity identify tumor cells with stem cell genotype in tissue samples from
GBM (unpublished data). We now intend to study the extent to which this can be used to guide
the procedure in a tumor resection to identify areas in the marginal zone where cancer stem
cells can be identified and where extended resection would be particularly beneficial.
Project plan and methods
We will collect tissue samples from surgical resection of newly diagnosed or recurrent
cerebral tumors, at Department of Neurosurgery, Karolinska University Hospital. We will
collect samples from diffuse astrocytic and oligodendroglial human brain tumors WHO grade
II-IV in adults. Samples will be pseudonymized. Tissue samples will be collected from the
proliferating peripheral part of the tumor which is rich in viable tumor cells, as well as
small tissue samples from the border zone just outside the dissection plane.
Clinical parameters that will be collected includes:
- Age
- Gender
- Diagnosis
- Treatment protocol
- Progression free survival
- Overall survival
- Status of histopathologically important markers such as IDH1, MGMT, EGFR, p53, BRAF and
other markers
- Site of tumor
We will perform single-cell RNA sequencing using the 10x Genomics Chromium assay, collecting
transcriptome data for about 10,000 single cells per sample. For a number of specimens, we
will perform fluorescence-assisted cell sorting (FACS, RT-PCR and microarray analysis).
This dataset will be analyzed to (1) characterize the phenotypes of sorted cell populations
by gene expression microarray to compare with the genotyping of the tumor and, (2) assess
tumor heterogeneity and stem cell composition on a cell-by-cell basis and (3) Assess the
correlation of the differences in gene expression (phenotype) between the cell populations
within a tumor sample to the genotype. Our goal is to gain a detailed picture of the gene
expressions of individual cells is provided, giving complementary information to the averaged
genotype data for the whole cell populations. This data will be analyzed for spatial regions
or subclones of cell with gene expression patterns indicating a "tumor initiating" or stem
cell-like phenotype, to understand how these cell clones that are thought to propagate tumor
recurrence are spatially distributed and how therapies specifically targeting these cells
could be designed.
We will perform immunofluorescence microscopy of tissue samples using the stem cell marker
GlioStem (developed by Celluminova AB). This marker can be applied to tissue biopsies, and
specifically stains stem cell-like tumor cells in gliomas. We will investigate if this can
reliably identify regions within tumor tissue samples that are dense with such GSCs. If so,
this marker could potentially in the future be developed for patient administration during
surgery, allowing the surgeon to already intraoperatively be able to identify regions
enriched with cells with a propensity to drive tumor recurrence. This will also be
informative for diagnostic and prognostic purposes
Aims
- The overall aim is to detect and visualize stem cell-like cells using biomarkers or
based on tumors' genetic material or proteins, thereby developing improved treatment
strategies for patients with brain tumors, and in the long run improving the survival
and quality of life of these patients.
- Characterize the spatial presence of stem cell-like cells in tumors and their periphery.
- Map whether there are any molecular or genetic differences between tumor stem cells in
central tumor compared to stem cells in the periphery. This could in the long run be
used to identify areas in the tumor that are particularly important to remove during
surgery.
- Investigating if cancer stem cells or other tumor initiating cells could be reliably
visualized using immunofluorescence techniques that could potentially be developed for
intraoperative use.
- Map the composition of brain tumors at the cellular level, with the goal of finding
proteins (genes) that are active in tumor cells but not in normal cells in the brain. It
is also important to map signaling mechanisms between tumor cells.
- The development of specific markers (e.g. fluorescent molecules) that can identify tumor
tissue and, in optimal cases, specifically the tumor cells that are essential for tumor
growth.
- Mapping of spatial distribution of gene expression to understand regional differences
within tumors with regards subtypes of cells and propensity to drive tumor
proliferation.
