Glioma dataset from Rabat: Clinicopathological, immunohistochemical and disease progression features of 32 Moroccan patients with diffuse Glioma

Fatima Sfifou; Mounir Ouzir; El Mehdi Hakkou; Majdouline Obtel; Hassan Errihani; Abderrahmane Al Bouzidi; Redouane Abouqal; Abdessamad El Ouahabi; Nadia Cherradi

doi:10.1016/j.dib.2022.108265

Glioma dataset from Rabat: Clinicopathological, immunohistochemical and disease progression features of 32 Moroccan patients with diffuse Glioma

Data Brief. 2022 May 12:42:108265. doi: 10.1016/j.dib.2022.108265. eCollection 2022 Jun.

Authors

Affiliations

¹ Research's Pedagogic Unit of Pathological Anatomy, Laboratory of Pathological Anatomy, Research Team in Tumour Pathology, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Avenue Mohammed Belarbi El Alaoui, Souissi, BP 6203, Rabat Institutes, Rabat 10000, Morocco.
² Pathological Anatomy Department, Hospital of Specialities in Rabat, Morocco.
³ Department of Biology, Group of Research in Physiology and Physiopathology, Faculty of Sciences, Mohammed V University in Rabat, BP 1014 Rabat, Morocco.
⁴ Neurosurgery Department, Hospital of Specialities in Rabat, Morocco.
⁵ Laboratory of Biostatistics, Clinical Research and Epidemiology, Rabat Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Morocco.
⁶ National Oncology Centre Sidi Mohamed Ben Abdallah in Rabat, Morocco.

Abstract

The Moroccan Glioma Dataset contains the clinical data of 32 patients with glioma. The clinical data including demographic data (age, sex), tumor characteristics (tumor location, Glioma type, Karnofsky performance score, mitotic activity, cell density, necrosis, endotheliocapillary vascular proliferation, MRI contrast pick-up, corpus collosum infiltration and Oedema), treatment strategy (subtotal resection, gross resection, biopsy, radiotherapy, chemotherapy), expression pattern of tumor biomarkers (IDH1, HIF-1alpha, P53, Ki-67), and survival data (Kaplan-Meier curves for disease progression). The dataset can be used to relate tumor characteristics to tumor biomarkers and to predict disease progression for a better treatment management. The data were presented, analyzed, and described in the article "Immunohistochemical expression of HIF-1α, IDH1 and TP53: prognostic profile of Moroccan patients with diffuse glioma" published in Journal of Chemical Neuroanatomy [1].

Keywords: Disease progression; Glioma; HIF-1alpha; Hypoxia; IDH1; Immunohistochemistry; TP53.