Glioblastoma, IDH wild-type is the most common and aggressive form of glial tumors. The exact mechanisms of glioblastoma oncogenesis, including the identification of the glioma-initiating cell, are yet to be discovered. Recent studies have led to the hypothesis that glioblastoma arises from neural stem cells and glial precursor cells and that cell lineage constitutes a key determinant of the glioblastoma molecular subtype. These findings brought significant advancement to the comprehension of gliomagenesis. However, the cellular origin of glioblastoma with mesenchymal molecular features remains elusive. Mesenchymal stromal cells emerge as potential glioblastoma-initiating cells, especially with regard to the mesenchymal molecular subtype. These fibroblast-like cells, which derive from the neural crest and reside in the perivascular niche, may underlie gliomagenesis and exert pro-tumoral effects within the tumor microenvironment. This review synthesizes the potential roles of mesenchymal stromal cells in the context of glioblastoma and provides novel research avenues to better understand this lethal disease.

Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning (ML) algorithms for survival prediction of GBM patient. We identified a radiomic signature on a training-set composed of data from the 2019 BraTS challenge (210 patients) from MRI retrieved at diagnosis. Then, using this signature along with the age of the patients for training classification models, we obtained on test-sets AUCs of 0.85, 0.74 and 0.58 (0.92, 0.88 and 0.75 on the training-sets) for survival at 9-, 12- and 15-months, respectively. This signature was then validated on an independent cohort of 116 GBM patients with confirmed disease relapse for the prediction of patients surviving less or more than the median OS of 22 months. Our model insured an AUC of 0.71 (0.65 on train). The Kaplan–Meier method showed significant OS difference between groups (log-rank p = 0.05). These results suggest that radiomic signatures may improve survival outcome predictions in GBM thus creating a solid clinical tool for tailoring therapy in this population.

The complement (C) innate immune system has been shown to be activated in the tumor microenvironment of various cancers. The C may support tumor growth by modulating the immune response and promoting angiogenesis through the actions of C anaphylatoxins (e.g., C5a, C3a). The C has important double-edged sword functions in the brain, but little is known about its role in brain tumors. Hence, we analyzed the distribution and the regulated expression of C3a and its receptor C3aR in various primary and secondary brain tumors. We found that C3aR was dramatically upregulated in Grade 4 diffuse gliomas, i.e., glioblastoma multiforme, IDH-wildtype (GBM) and astrocytoma, IDH-mutant, Grade 4, and was much less expressed in other brain tumors. C3aR was observed in tumor-associated macrophages (TAM) expressing CD68, CD18, CD163, and the proangiogenic VEGF. Robust levels of C3a were detected in the parenchyma of GBM as a possible result of Bb-dependent C activation of the alternative C pathway. Interestingly, in vitro models identified TGF-β1 as one of the most potent growth factors that upregulate VEGF, C3, and C3aR in TAM (PMA-differentiated THP1) cell lines. Further studies should help to delineate the functions of C3a/C3aR on TAMs that promote chemotaxis/angiogenesis in gliomas and to explore the therapeutic applications of C3aR antagonists for brain tumors.

Scarce data exist on concurrent chemotherapy in locally advanced cervical cancer (LACC) patients (pts) treated with image-guided adaptive brachytherapy (IGABT). We examined the effect of a number of chemotherapy cycles and their interaction with brachytherapy dose/volume parameters. Clinical records of 209 consecutive pts treated for a LACC were reviewed. Pts received CRT concurrently with cisplatin 40 mg/m² or carboplatin AUC2. An additional cycle could have been delivered during the pulse-dose rate (PDR)-IGABT. The impact of a number of chemotherapy cycles on outcome was examined, as well as the interactions with dose volume parameters. The number of cycles was four in 55 (26.3%) pts, five in 154 (73.7%) including 101 receiving the fifth cycle during IGABT. Median follow-up was 5.5 years. Pts receiving five cycles had a better outcome on all survival endpoints, including three year local control rate (93.9% vs. 77.2%; p < 0.05). In the subgroup, only pts with tumor FIGO (Fédération Internationale de Gynécologie Obstétrique) stage ≤IIB or with CTV_HR > 25 cm³ had a better outcome. Pts receiving four cycles with D₉₀CTV_HR > 80Gy_EQD2 had the same locoregional control–(LRC) as those receiving five cycles and achieving D₉₀CTV_HR ≤ 80 Gy_EQD2 (p = 0.75). An optimal propensity score matching the balance for the FIGO stage, CTV_HR volume and D₉₀CTV_HR confirmed the effect, with the largest life expectancy benefit for locoregional failure-free survival (absolute gain: 1.5 years; p = 0.017). Long-term radiation-induced toxicity was not increased. Increasing the total number of cycles from 4 to 5 improved LFS, suggesting a place for systemic strategies aimed at in-field cooperation. Delivering an additional cycle at the time of brachytherapy did not increase morbidity and there permitted an increase in chemotherapy dose intensity.