Hatem Hamed Althubiany
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Hatem Hamed Althubiany has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Abdelrahman Yahya Mohamed
Department of Urology, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
1 shared publication - Ahmad Almujalhem
Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea
1 shared publication - Alqahatani Ali A
Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea
1 shared publication - Hyo Jung Lee
Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea
1 shared publication - Jee Soo Park
Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
1 shared publication - Jongchan Kim
Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea
1 shared publication
Latest Publications
- Open Access
Prediction of High-Grade Clear Cell Renal Cell Carcinoma Based on Plasma mRNA Profiles in Patients with Localized Pathologic T1N0M0 Stage Disease
A high nuclear grade is crucial to predicting tumor recurrence and metastasis in clear cell renal cell carcinomas (ccRCCs). We aimed to compare the mRNA profiles of tumor tissues and preoperative plasma in patients with localized T1 stage ccRCCs, and to evaluate the potential of the plasma mRNA profile for predicting high-grade ccRCCs. Data from a prospective cohort (n = 140) were collected between November 2018 and November 2019. Frozen tumor tissues and plasma were used to measure PBRM1, BAP1, SET domain-containing 2 (SETD2), KDM5C, FOXC2, CLIP4, AQP1, DDX11, BAIAP2L1, and TMEM38B mRNA levels, and correlation with the Fuhrman grade was investigated. Multivariate logistic regression analysis revealed significant association between high-grade ccRCC and SETD2 and DDX11 mRNA levels in tissues (odds ratio (β) = 0.021, 95% confidence interval (CI): 0.001–0.466, p = 0.014; β = 6.116, 95% CI: 1.729–21.631, p = 0.005, respectively) and plasma (β = 0.028, 95% CI 0.007–0.119, p < 0.001; β = 1.496, 95% CI: 1.187–1.885, p = 0.001, respectively). High-grade ccRCC prediction models revealed areas under the curve of 0.997 and 0.971 and diagnostic accuracies of 97.86% and 92.86% for the frozen tissue and plasma, respectively. SETD2 and DDX11 mRNA can serve as non-invasive plasma biomarkers for predicting high-grade ccRCCs. Studies with long follow-ups are needed to validate the prognostic value of these biomarkers in ccRCCs.
Open AccessPrediction of High-Grade Clear Cell Renal Cell Carcinoma Based on Plasma mRNA Profiles in Patients with Localized Pathologic T1N0M0 Stage Disease
A high nuclear grade is crucial to predicting tumor recurrence and metastasis in clear cell renal cell carcinomas (ccRCCs). We aimed to compare the mRNA profiles of tumor tissues and preoperative plasma in patients with localized T1 stage ccRCCs, and to evaluate the potential of the plasma mRNA profile for predicting high-grade ccRCCs. Data from a prospective cohort (n = 140) were collected between November 2018 and November 2019. Frozen tumor tissues and plasma were used to measure PBRM1, BAP1, SET domain-containing 2 (SETD2), KDM5C, FOXC2, CLIP4, AQP1, DDX11, BAIAP2L1, and TMEM38B mRNA levels, and correlation with the Fuhrman grade was investigated. Multivariate logistic regression analysis revealed significant association between high-grade ccRCC and SETD2 and DDX11 mRNA levels in tissues (odds ratio (β) = 0.021, 95% confidence interval (CI): 0.001–0.466, p = 0.014; β = 6.116, 95% CI: 1.729–21.631, p = 0.005, respectively) and plasma (β = 0.028, 95% CI 0.007–0.119, p < 0.001; β = 1.496, 95% CI: 1.187–1.885, p = 0.001, respectively). High-grade ccRCC prediction models revealed areas under the curve of 0.997 and 0.971 and diagnostic accuracies of 97.86% and 92.86% for the frozen tissue and plasma, respectively. SETD2 and DDX11 mRNA can serve as non-invasive plasma biomarkers for predicting high-grade ccRCCs. Studies with long follow-ups are needed to validate the prognostic value of these biomarkers in ccRCCs.
- Open Access
- 1 January 2017
- Published by Medknow in Urology Annals
- Vol. 9 (4) , 390-392
Migration of malleable penile prosthesis
Penile prosthesis migration is rare. Most reported cases are migration of inflatable penile prosthesis reservoirs. We reported a case of rectal migration of malleable penile prosthesis passed out as hard bowel motion without patient recognition.
- 1 January 2017
- Published by Medknow in Urology Annals
- Vol. 9 (4) , 390-392
Open AccessMigration of malleable penile prosthesis
Penile prosthesis migration is rare. Most reported cases are migration of inflatable penile prosthesis reservoirs. We reported a case of rectal migration of malleable penile prosthesis passed out as hard bowel motion without patient recognition.