| Literature DB >> 28450990 |
Ghada Sahraoui1, Fatma Khanchel1, Emna Chelbi1.
Abstract
Breast cancer is the most common cancer among tunisian women and worldwide. In Cape Bon, Tunisia, the anatomopathological features of this cancer have not been established in previously published studies. Knowledge about these features is needed for the cultural adaptation of prevention and health care systems in the region. The aim of our study was to determine the pathological profile of breast cancers in the only public health anatomic pathology regional laboratory. We conducted a retrospective descriptive study of 116 patients who were diagnosed with breast cancers in our laboratory over a 5-year period, from July 2010 to July 2015. Our study included 116 patients. The average age was 51 years. The mean histologic tumor size was 31 mm. The initial diagnosis was based on lumpectomy in 83% of the cases. Nonspecific invasive cancer was the most frequent histological type. SBR grade III was most prevalent. Lymphovascular invasion was detected in 33% of cases. Axillary lymph node dissection was performed in 72% of cases. Hormone receptors were positive in 73% of cases. Her2-Neu receptors were overexpressed in 19% of cases. The ki67 was ≥ 14% in 38% of cases. Luminal A was the most common molecular subtype. In Cap Bon region brest cancer is characterized by an early onset, a large tumor size and pejorative histoprognostic factors.Entities:
Keywords: Breast cancer; Tunisia; histopathology
Mesh:
Substances:
Year: 2017 PMID: 28450990 PMCID: PMC5398263 DOI: 10.11604/pamj.2017.26.11.11382
Source DB: PubMed Journal: Pan Afr Med J
Figure 1Répartition des patientes selon les tranches d’âge
Types de prélèvements
| TYPE DU PRELEVEMENT | EFFECTIF |
|---|---|
|
| 13 |
|
| 3 |
|
| 3 |
|
| 90 |
|
| 59 |
|
| 19 |
|
| 17 |
répartition des prélèvements à but diagnostique
| TYPE DU PRELEVEMENT | Pourcentage (%) |
|---|---|
| 12 | |
| 2,5 | |
| 2,5 | |
| 83 | |
| 100 |
Figure 2Répartition des tumeurs selon la taille tumorale histologique
Figure 3Répartition des tumeurs selon les classes moléculaires