Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT05375318 |
Other study ID # |
BIOhabitats |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 1, 2021 |
Est. completion date |
July 1, 2022 |
Study information
Verified date |
February 2022 |
Source |
Universitat Politècnica de València |
Contact |
María del Mar Álvarez-Torres |
Phone |
669933613 |
Email |
maaltor4[@]upv.es |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The main purposes of this study are:
I. To assess that the four habitats within the tumor (HAT and LAT) and edema (IPE and VPE) in
high-grade glioma are different at vascular, tissular, cellular and molecular levels.
II. To analyze the associations between the perfusion imaging markers and relevant molecular
markers at the HTS habitats for high-grade glioma diagnosis, prognosis/aggressiveness,
progression and/or prediction.
III. To analyze the associations between the perfusion imaging markers and immune markers at
the HTS habitats useful in immunotherapy evaluation and/or patient selection.
IV. To prospectively validate the prognostic capacity (association with OS and PFS) and
stratification capacity of the perfusion imaging markers calculated at the HTS habitats.
Description:
High-grade glioma (HGG) are the most aggressive malignant primary brain tumor in adults with
a median survival rate of 12-15 months. It still carries a poor prognosis despite aggressive
treatment, which includes tumor resection followed by chemo-radiotherapy cycles. The
inter-patient and intra-patient tumor heterogeneity is one of the responsible factors for the
high aggressiveness of solid malignant tumors and their resistance against effective
therapies.
Due to the extremely complex and heterogeneous biology of this tumor, the same treatment for
all approach does not work well in this disease, and standard of care is not always the best
option, calling for precision medicine to select the best therapeutic option in the right
moment to each patient. This requires quantitative medical imaging, patient profiling,
prognosis estimation, and expected response to treatment for objective decision making along
with the patient management.
The Hemodynamic Tissue Signature (HTS) methodology, included in the ONCOhabitats site
(www.oncohabitats.upv.es), provides an automated unsupervised method to describe the
heterogeneity of the enhancing tumor and edema areas in terms of the angiogenic process
located at these regions. HTS considers 4 habitats within the tumour: 1) the HAT habitat,
which refers to the high angiogenic enhancing tumor part of the tumour, 2) the LAT habitat,
which refers to the less angiogenic enhancing tumor area of the tumour, 2) the IPE habitat,
which refers to the potentially infiltrated peripheral edema, and 4) the VPE habitat, which
refers to the vasogenic peripheral edema of the tumour (Juan-Albarracin et al, 2016).
Perfusion imaging markers, such as relative cerebral blood volume, can be calculated from
these different vascular habitats, and they have been proven as clinically relevant for
prognosis. The HTS methodology, as well as the prognostic capacity of these perfusion imaging
markers, have been validated with a retrospective multicenter study that included 184
high-grade glioma patients from 7 European centers.
Furthermore, relevant associations have been found between the perfusion markers and
clinical-routine biomarkers, such as IDH mutation, MGMT methylation (Fuster-Garcia et al,
2020), molecular subtype or microvessel area.
Considering these promising results and, in order to develop a decision support system based
on pixel level Artificial Intelligent models for deciding treatment in high-grade glioma, it
is necessary to develop a prospective study and to validate at biological level the vascular
habitats defined by the HTS methodology.
The proposed objectives are based on the following hypothesis:
I. Since the tumor and edema HTS habitats (HAT, LAT, IPE and VPE) have been proven as
different in relation to their hemodynamic and vascular behavior, the main hypothesis are
that these are habitats are also significantly different at the vascular, tissular, cellular
and molecular level.
II. Significant associations between the perfusion imaging markers calculated with the HTS
methodology and both molecular and histopathological markers (useful in prognosis, monitoring
and evaluation of therapies) have been found in previous studies. Therefore, the hypothesis
are that relevant associations between the imaging markers and clinical-routine biomarkers,
such as molecular and histopathological markers, exist.
III. Preliminary studies have shown associations between the perfusion imaging markers and
molecular markers related with the immune action/suppression. In addition, previous works
have demonstrated that immune and genomic correlates of response to immunotherapy treatments,
such as anti-PD-1, in glioblastoma. Therefore, to find correlations between these immune and
genomic signatures with perfusion imaging markers can be useful for decision making and
evaluation of immunotherapies.
IV. Preliminary retrospective studies have demonstrated robust association between the
perfusion imaging markers calculated at high and low angiogenic habitats and patient overall
survival. These robust associations between the perfusion imaging markers and survival times
will be demonstrated with a prospective study.