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  • 1
    In: Diagnostics, MDPI AG, Vol. 12, No. 9 ( 2022-09-16), p. 2239-
    Abstract: We report the case of a 70-year-old female patient with solitary functioning left kidney and encrusted uretero-pyelitis caused by Corynebacterium urealyticum, which was treated by antibiotic therapy and oral acidification with L-methionine. We review the literature for similarly reported cases.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662336-5
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  • 2
    In: Life, MDPI AG, Vol. 13, No. 10 ( 2023-09-23), p. 1951-
    Abstract: Objectives: To compare the follow-up results of a sacrospinous ligament fixation (SSLF) technique for laparoscopic bilateral fixation of the vagina to the iliopectineal ligament via a PVDF-mesh (laparoscopic pectopexy technique, LP) in terms of cure rate and postoperative complications rate. Material and methods: This prospective study included 160 patients diagnosed with pelvic organ prolapse stage II–IV according to the POP-Q system. Eighty-two patients (51.25%) underwent vaginal sacrospinous ligament fixation and seventy-eight patients (48.75%) underwent the laparoscopic pectopexy procedure. Results: The cure rate was high in both groups, 95.12% of the patients (78 out of 82) in the SSLF group and 93.59% of the patients (73 out of 78) in the LP group were cured post surgery, leading to an overall cure rate of 151 out of 160 patients. Pelvic pain was present in 5.00% of all patients, but was notably more frequent in the SSLF group (7, 8.54%) than in the LP group (1, 1.28%). Dyspareunia occurred in 4.37% of all patients, slightly more frequently in the SSLF group (6, 7.32%) than the LP group (1, 1.28%), but without significant difference. Conclusions: The laparoscopic pectopexy procedure has comparably positive follow-up results with the conventional sacrospinous ligament fixation procedure. Both SSLF and LP are effective in the treatment of pelvic organ prolapse, with favorable anatomical and subjective results, a high cure rate and low rates of serious postoperative complications.
    Type of Medium: Online Resource
    ISSN: 2075-1729
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662250-6
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  • 3
    In: Journal of Clinical Medicine, MDPI AG, Vol. 12, No. 6 ( 2023-03-13), p. 2208-
    Abstract: In the contemporary era of early detection, with mostly curative initial treatment for prostate cancer (PC), mortality rates have significantly diminished. In addition, mean age at initial PC diagnosis has decreased. Despite technical advancements, the probability of erectile function (EF) recovery post radical prostatectomy (RP) has not significantly changed throughout the last decade. Due to virtually unavoidable intraoperative cavernous nerve (CN) lesions and operations with younger patients, post-RP erectile dysfunction (ED) has now begun affecting these younger patients. To address this pervasive limitation, a plethora of CN lesion animal model investigations have analyzed the use of systemic/local treatments for EF recovery post-RP. Most promisingly, neuregulins (NRGs) have demonstrated neurotrophic effects in both neurodegenerative disease and peripheral nerve injury models. Recently, glial growth factor 2 (GGF2) has demonstrated far superior, dose-dependent, neuroprotective/restorative effects in the CN injury rat model, as compared to previous therapeutic counterparts. Although potentially impactful, these initial findings remain limited and under-investigated. In an effort to aid clinicians, our paper reviews post-RP ED pathogenesis and currently available therapeutic tools. To stimulate further experimentation, a standardized preparation protocol and in-depth analysis of applications for the CN injury rat model is provided. Lastly, we report on NRGs, such as GGF2, and their potentially revolutionary clinical applications, in hopes of identifying relevant future research directions.
    Type of Medium: Online Resource
    ISSN: 2077-0383
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662592-1
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  • 4
    In: Biomedicines, MDPI AG, Vol. 10, No. 4 ( 2022-04-15), p. 912-
    Abstract: Renal cell carcinoma (RCC) is arguably the deadliest form of genitourinary malignancy and is nowadays viewed as a heterogeneous series of cancers, with the same origin but fundamentally different metabolisms and clinical behaviors. Immunohistochemistry (IHC) is increasingly necessary for RCC subtyping and definitive diagnosis. WT1 is a complex gene involved in carcinogenesis. To address reporting heterogeneity and WT1 IHC standardization, we used a recent N-terminus targeted monoclonal antibody (clone WT49) to evaluate WT1 protein expression in 56 adult RCC (aRCC) cases. This is the largest WT1 IHC investigation focusing exclusively on aRCCs and the first report on clone WT49 staining in aRCCs. We found seven (12.5%) positive cases, all clear cell RCCs, showing exclusively nuclear staining for WT1. We did not disregard cytoplasmic staining in any of the negative cases. Extratumoral fibroblasts, connecting tubules and intratumoral endothelial cells showed the same exclusively nuclear WT1 staining pattern. We reviewed WT1 expression patterns in aRCCs and the possible explanatory underlying metabolomics. For now, WT1 protein expression in aRCCs is insufficiently investigated, with significant discrepancies in the little data reported. Emerging WT1-targeted RCC immunotherapy will require adequate case selection and sustained efforts to standardize the quantification of tumor-associated antigens for aRCC and its many subtypes.
    Type of Medium: Online Resource
    ISSN: 2227-9059
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2720867-9
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  • 5
    In: Biomedicines, MDPI AG, Vol. 10, No. 11 ( 2022-11-14), p. 2926-
    Abstract: Despite significant progress regarding clinical detection/imaging evaluation modalities and genetic/molecular characterization of pathogenesis, advanced renal cell carcinoma (RCC) remains an incurable disease and overall RCC mortality has been steadily rising for decades. Concomitantly, clinical definitions have been greatly nuanced and refined. RCCs are currently viewed as a heterogeneous series of cancers, with the same anatomical origin, but fundamentally different metabolisms and clinical behaviors. Thus, RCC pathological diagnosis/subtyping guidelines have become increasingly intricate and cumbersome, routinely requiring ancillary studies, mainly immunohistochemistry. Meanwhile, RCC-associated-antigen targeted systemic therapy has been greatly diversified and emerging, novel clinical applications for RCC immunotherapy have already reported significant survival benefits, at least in the adjuvant setting. Even so, systemically disseminated RCCs still associate very poor clinical outcomes, with currently available therapeutic modalities only being able to prolong survival. In lack of a definitive cure for advanced RCCs, integration of the amounting scientific knowledge regarding RCC pathogenesis into RCC clinical management has been paramount for improving patient outcomes. The current review aims to offer an integrative perspective regarding contemporary RCC clinical definitions, proper RCC clinical work-up at initial diagnosis (semiology and multimodal imaging), RCC pathological evaluation, differential diagnosis/subtyping protocols, and novel clinical tools for RCC screening, risk stratification and therapeutic response prediction.
    Type of Medium: Online Resource
    ISSN: 2227-9059
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2720867-9
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  • 6
    In: Current Oncology, MDPI AG, Vol. 29, No. 6 ( 2022-06-10), p. 4212-4223
    Abstract: (1) Objective: To design an artificial intelligence system for prostate cancer prediction using the data obtained by shear wave elastography of the prostate, by comparing it with the histopathological exam of the prostate biopsy specimens. (2) Material and methods: We have conducted a prospective study on 356 patients undergoing transrectal ultrasound-guided prostate biopsy, for suspicion of prostate cancer. All patients were examined using bi-dimensional shear wave ultrasonography, which was followed by standard systematic transrectal prostate biopsy. The mean elasticity of each of the twelve systematic biopsy target zones was recorded and compared with the pathological examination results in all patients. The final dataset has included data from 223 patients with confirmed prostate cancer. Three machine learning classification algorithms (logistic regression, a decision tree classifier and a dense neural network) were implemented and their performance in predicting the positive lesions from the elastographic data measurements was assessed. (3) Results: The area under the curve (AUC) results were as follows: for logistic regression—0.88, for decision tree classifier—0.78 and for the dense neural network—0.94. Further use of an upsampling strategy for the training set of the neural network slightly improved its performance. Using an ensemble learning model, which combined the three machine learning models, we have obtained a final accuracy of 98%. (4) Conclusions: Bi-dimensional shear wave elastography could be very useful in predicting prostate cancer lesions, especially when it benefits from the computational power of artificial intelligence and machine learning algorithms.
    Type of Medium: Online Resource
    ISSN: 1718-7729
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2270777-3
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  • 7
    In: Current Issues in Molecular Biology, MDPI AG, Vol. 45, No. 6 ( 2023-06-08), p. 5036-5051
    Abstract: Prostate cancer (PCa) remains one of the leading causes of cancer mortality in men worldwide, currently lacking specific, early detection and staging biomarkers. In this regard, modern research focuses efforts on the discovery of novel molecules that could represent potential future non-invasive biomarkers for the diagnosis of PCa, as well as therapeutic targets. Mounting evidence shows that cancer cells express an altered metabolism in their early stages, making metabolomics a promising tool for the discovery of altered pathways and potential biomarker molecules. In this study, we first performed untargeted metabolomic profiling on 48 PCa plasma samples and 23 healthy controls using ultra-high-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-[ESI+]-MS) for the discovery of metabolites with altered profiles. Secondly, we selected five molecules (L-proline, L-tryptophan, acetylcarnitine, lysophosphatidylcholine C18:2 and spermine) for the downstream targeted metabolomics and found out that all the molecules, regardless of the PCa stage, were decreased in the PCa plasma samples when compared to the controls, making them potential biomarkers for PCa detection. Moreover, spermine, acetylcarnitine and L-tryptophan had very high diagnostic accuracy, with AUC values of 0.992, 0.923 and 0.981, respectively. Consistent with other literature findings, these altered metabolites could represent future specific and non-invasive candidate biomarkers for PCa detection, which opens novel horizons in the field of metabolomics.
    Type of Medium: Online Resource
    ISSN: 1467-3045
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2090836-2
    SSG: 12
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  • 8
    In: Medicina, MDPI AG, Vol. 58, No. 4 ( 2022-04-10), p. 529-
    Abstract: Background and Objectives: Responding to the need for additional biomarkers for the diagnosis of prostate cancer (PCa), mounting studies show that microRNAs (miRNAs/miRs) possess great potential as future promising diagnostic tools. However, the usefulness of these miRNAs is still highly debated, as the degree of inconsistency between study designs and results is still elevated. Herein, we present a meta-analysis evaluating the diagnostic value and accuracy of circulating miR-375, as it is one of the most studied types of miRs in PCa. Materials and Methods: The diagnostic accuracy of miR-375 was evaluated using the QUADAS-2 tool, analyzing different statistical parameters. The seven studies (from six articles) that matched our selection included 422 PCa patients and 212 controls (70 healthy volunteers + 142 with benign prostate diseases). Results and Conclusion: We obtained a p-value of 0.76 for sensitivity, 0.83 for specificity, 16 for DOR, 4.6 for LR+, 0.29 for LR−, and 0.87 for AUC (95% CI 0.83–0.89). Our results confirm that miRNA-375 has high diagnostic potential for PCa, suggesting its usefulness as a powerful biomarker. More comprehensive studies are warranted to better assess its true value as a diagnostic biomarker for this urologic disease.
    Type of Medium: Online Resource
    ISSN: 1648-9144
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2088820-X
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  • 9
    In: Timisoara Medical Journal, MDPI AG, Vol. 2020, No. 2 ( 2021-2-08), p. 1-
    Abstract: (1) Introduction: Prostate cancer is the second leading cause of cancer-related death in men in developed countries. Due to the existing biomarkers’ limitations, there is a stringent need to develop novel, better non-invasive markers for prostate cancer diagnostic and monitoring. (2) Material and methods: We assessed, by real-time PCR, the expression level of 84 long non-coding RNA (lncRNA) in plasma and the exosomes isolated from prostate cancer patients’ plasma and urine. (3) Results: Only a few lncRNAs were detected in high abundance (Ct between 25 and 30 cycles) across all sample types, the vast majority showing relatively modest levels (Ct 〉 30 cycles). As expected, plasma and plasma exosomes contain far more lncRNA species than urine, irrespective of whether they originate from patients or controls. We identified two statistically significant dysregulated lncRNAs in prostate cancer samples vs. controls: RBM5-AS1, 2.89 times downregulated in plasma (p = 0.036), and SNHG16, 13.69 times upregulated (p = 0.029) in urine exosomes. (4) Conclusions: These preliminary data need further validation in additional independent, more extensive studies before they can be considered as biomarkers for prostate cancer.
    Type of Medium: Online Resource
    ISSN: 1583-526X
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2167800-5
    SSG: 15,3
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  • 10
    In: Medicina, MDPI AG, Vol. 55, No. 9 ( 2019-09-03), p. 564-
    Abstract: Background and Objectives: Over decades, prostate cancer (PCa) has become one of the leading causes of cancer mortality in men. Extensive evidence exists that microRNAs (miRNAs or miRs) are key players in PCa and a new class of non-invasive cancer biomarkers. Materials and Methods: We performed miRNA profiling in plasma and tissues of PCa patients and attempted the validation of candidate individual miRs as biomarkers. Results: The comparison of tissue and plasma profiling results revealed five commonly dysregulated miRs, namely, miR-130a-3p, miR-145-5p, miR-148a-3p, miR-150-5p, and miR-365a-3p, of which only three show concordant changes—miR-130a-3p and miR-150-5p were downregulated and miR-148a-3p was upregulated in both tissue and plasma samples, respectively. MiR-150-5p was validated as significantly downregulated in both plasma and tissue cancer samples, with a fold change of −2.697 (p 〈 0.001), and −1.693 (p = 0.035), respectively. ROC analysis showed an area under the curve (AUC) of 0.817 (95% CI: 0.680–0.995) for plasma samples and 0.809 (95% CI: 0.616–1.001) for tissue samples. Conclusions: We provide data indicating that miR-150-5p plasma variations in PCa patients are associated with concordant changes in prostate cancer tissues; however, given the heterogeneous nature of previous findings of miR-150-5p expression in PCa cells, additional future studies of a larger sample size are warranted in order to confirm the biomarker potential and role of miRNA-150-5p in PCa biology.
    Type of Medium: Online Resource
    ISSN: 1648-9144
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2088820-X
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