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Real-World Data of Clinicopathological Characteristics and Management of Breast Cancer Patients According to HER2 Status
Bu çalışma, meme kanseri (breast cancer) hastalarının klinik ve patolojik özelliklerini ve tedavi yönetimlerini HER2 durumuna göre gerçek yaşam verileri (real-world data) üzerinden incelemektedir. Çalışmaya, 2005-2021 yılları arasında erken, lokal ileri ya da metastatik meme kanseri tanısı almış, 18 yaş ve üzeri hastalar alınmıştır. Faz uygulanmayan bir gözlem çalışması olarak yürütülmüş ve tamamlanmıştır.
Yukarıdaki özet, resmî kaydın sade dile aktarılmış halidir. Orijinal İngilizce başlık referans için gösterilir.
Kriterler ClinicalTrials.gov kaydından orijinal İngilizce haliyle alınmıştır. Uygunluk kararını yalnızca deneyi yürüten ekip verebilir.
Inclusion Criteria: 1. Male or female patients who have at least 18 years of age at enrollment. 2. Patients with initial diagnosis of early BC or locally advanced BC or de novo mBC between the 1st of January 2005 and the 31st of December 2021 3. Pathologically documented BC for: * HER2 receptor expression with a validated assay according to American Society of Clinical Oncology - College of American Pathologists (ASCO/CAP) recommendations at the time of diagnosis. HER2 receptor expression can be: o HER2-positive expression: defined as immunohistochemistry (IHC) 3+ or concurrent IHC 2+ with in situ hybridization (ISH) positive or HER2-low expression: defined as IHC 2+ with ISH-negative or IHC 1+ with ISH-negative or untested) or HER2-negative expression: defined as IHC: 0. * Estrogen receptor \[ER\]- and/or progesterone receptor \[PgR\] with a validated assay according to ASCO/CAP guidelines at the time of diagnosis during early and/or advanced setting. ER/PgR expression can be: positive: ER or PgR ≥1% or negative: ER and PgR \<1% 4. Electronic Health Records (EHRs), with guaranteed data to meet requisites, about clinicopathological characteristics, type of surgery, treatment management, disease outcomes, and genomic profile. Centers that agree to participate must commit to include all subjects who meet the inclusion criteria, in order to reduce possible selection bias. Exclusion criteria: 1. Medical charts at Hospital that cannot guarantee reliable and congruent EHRs. 2. If sufficient data cannot be obtained from EHRs.