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Abstrak :
Model prediksi kesintasan kanker prostat metastasis tulang sudah pernah dilakukan sebelumnya. Namun, model prediksi kesintasan kanker prostat metastasis tulang pra-terapi belum pernah dialukan sebelumnya. Tujuan penelitian ini adalah untuk menganalisis faktor-faktor klinis yang mempengaruhi ketahanan hidup (survival) pada kanker prostat dengan metastasis tulang serta mengembangkan nomogram prognostik ketahanan hidup pada pasien dengan kondisi tersebut. Terdapat 392 subyek dengan kanker prostat dengan metastasis tulang yang mendapat terapi Androgen Deprivation Therapy (ADT) dalam penelitian ini. Parameter pra-perawatan dianalisis menggunakan model cox-proportional untuk mengidentifikasi prediktor ketahanan hidup secara keseluruhan. Kovariat yang menunjukkan nilai signifikansi secara statistik pada analisis multivariat akan dipakai untuk membentuk nomogram. Model prediktor linier digunakan untuk mengembangkan nomogram. Nilai median ketahanan hidup keseluruhan adalah 40,3 bulan (95% CI: 32.2 - 48.5). Analisis univariat menunjukkan bahwa T-stage, Gleason Score, nilai antigen spesifik prostat inisial, dan jumlah lesi metastasis merupakan faktor-faktor prognostik independen terhadap angka ketahanan hidup keseluruhan. Semua prediktor ini tetap menunjukkan hasil yang signifikan secara statistik sebagai faktor prognostik independen pada analisis model multivariat cox-regression. Nomogram yang terbentuk dari faktor-faktor prediktor tersebut menunjukkan diskriminasi yan baik dalam memprediksi ketahanan hidup dalam 5 tahun dengan area under the curve (AUC) sebesar 0.69. Kesepakatan yang diterima dari probabilitas yang diamati dan diprediksi telah dinilai dalam plot kalibrasi. Nilai median ketahanan hidup keseluruhan adalah 40,3 bulan. Prediksi nomogram ini dapat berguna sebagai alat untuk memprediksi angka ketahanan hidup keseluruhan pada sebelum terapi kanker prostat metastasis, secara spesifik pada populasi Indonesia. Penelitian lebih lanjut dibutuhkan untuk memberikan validasi eksternal untuk mendukung penggunaan nomogram ini. ......A survival prognostic model of prostate cancer with bone metastasis had been done before. However, a prognostic model of pre-treatment prostate cancer with bone metastasis had not yet done. This study aims to analyze the clinical factors among bone-metastatic prostate cancer and their relationships with survival as well as to develop a prognostic nomogram for overall survival in patients with this condition. This study included 392 patients with bone metastatic prostate caner treated with androgen deprivation therapy. Pre-treatment parameters were analyzed using cox-proportional hazard model to identify the predictors of overall survival. Covariates, which showed statistical significance on multivariate analysis, were used to develop a nomogram. Linear predictor model was utilized to develop the nomogram. Median overall survival was 40.3 months (95% CI: 32.2 to 48.5). Univariate analysis showed that clinical T-stage, Gleason Score, initial prostate specific antigen value, and number of metastatic lesion were independent prognostic factors for OS. These predictors still remained significant as independent prognostic factors for overall survival following analysis using multivariate cox-regression model. The nomogram constructed from those prognostic factors showed good discriminaton for predicting the 5-year OS with an Area Under the Curve of 0.69. Acceptable agreement of the observed and predicted probabilites was observed in the calibration plot. The median overall survival of patient with bone metastatic prostate cancer was 40.3 months. The prediction nomogram might be a useful tool for predicting overall survival in pre-treatment bone metastatic prostate cancer, specifically among Indonesian patients. Further studies are needed to provide external validation to support the utilization of this nomogram.

Abstrak :
ABSTRAK
In the past 10 years, recent development of targeted therapy in metastatic renal cell carcinoma (mRCC) has provided a new hope and significantly enhanced the prognosis of the disease. Three class of targeted therapy were developed, including multi-targeted tyrosine kinase inhibitors (TKI), the mammalian target of rapamycin (mTOR) complex-1 kinase inhibitors, and the humanized antivascular endothelial growth factor (VEGF) monoclonal antibody. Hence, the objective of this article was to critically examine the current evidence of targeted therapy treatment for patients with mRCC. In the majority of trials evaluating targeted therapy, patients were stratified according to Memorial Sloan Kattering Cancer Center (MSKCC) risk model and the recommendation of targeted treatment based on risk features. In first-line setting (no previous treatment), sunitinib, pazopanib, or bevacizumab plus IFN-α were recommended as treatment options for patient with favorable- or intermediate- risk features and clear cell histology. Patients who progressed after previous cytokine therapy would have sorafenib or axitinib as treatment options. Clear-cell mRCC with favorable- or intermediate- risk features and failure with first-line TKI therapy might be treated with sorafenib, everolimus, temsirolimus or axitinib. However, the current evidence did not show the best treatment sequencing after first-line TKI failure. In patients with poor-risk clear-cell and non-clear cell mRCC, temsirolimus was the treatment option supported by phase III clinical trial. In addition, several new drugs, nowadays, are still being investigated and waiting for the result of phase II or III clinical trial, and this might change the standard therapy for mRCC in the future.

Abstrak :
ABSTRAK
Tuberous sclerosis complex (TSC) has several renal manifestations including angiomyolipomas (AML) and renal epithelial neoplasms. A bilateral giant renal AML is extremely rare. We report a case of giant bilateral AML and discuss the diagnosis and treatment of it. The 22-year-old man was admitted due to bilateral flank pain, gross hematuria, and abdominal fullness. He had history of epilepsy, mental retardation, and delayed development during childhood. He had angiofibroma on his face since 10 years ago. Abdominal CT and MRI revealed large lobulated heterogeneous mass with fatty content. Based on those findings, we diagnosed the patient with bilateral giant renal AML. We gave conservative management for the patient and planned to total nephrectomy on the left kidney if the continued bleeding occurred. AML associated with TSC occur more frequently as multiple lesions and grows to larger size than idiopathic AML. Bilateral giant AML, which is very rare, could be treated with conservative management if no significant hemorrhage occurred.