OBJECTIVE: To investigate the incidence and potential influence factors that contribute to chronic post-surgical pain (CPSP) in elderly patients with urinary tract tumors who underwent laparoscopic procedures. METHODS: A retrospective study was conducted to collect the clinical data of 182 elderly patients with urinary tract tumors who were ≥65 years and underwent laparoscopic surgery from October 2021 to March 2022 in Peking University Third Hospital. The patients'demographic information, medical history and the severity of postoperative pain were collected. Telephone follow-ups were made 6 months after surgery, and the patients' CPSP conditions were recorded. The diagnostic criteria of CPSP were referred to the definition made by the International Association for the Study of Pain (IASP): (1) Pain that developed or increased in intensity after surgical procedure and persisted for at least 3 months after surgery; (2) Pain that localized to the surgical field or projected to the innervation territory of a nerve situated around the surgical area; (3) Pain due to pre-existing pain conditions or infections and malignancy was excluded. The patients were divided into two groups based on CPSP diagnosis. Risk factors that predisposed the patients to CPSP were identified using univariate analysis. A multivariate Logistic regression model using back-forward method was designed, including both variables that significantly associated with CPSP in the univariate analysis (P < 0.1), and the variables that were considered to have significant clinical impact on the outcome. RESULTS: Two hundred and sixteen patients with urinary tract tumors who had undergone laparoscopic surgery were included, of whom, 34 (15.7%) were excluded from the study. For the remaining 182 patients, the average age was (72.6±5.2) years, with 146 males and 36 females. The incidence of CPSP at the end of 6 months was 31.9% (58/182). Multiva-riate regression analysis revealed that age ≥75 years (OR=0.29, 95% CI: 0.12-0.73, P=0.008) was the protecting factors for postoperative chronic pain in the elderly patients with urinary tract tumors undergoing surgical treatment, while renal cancer (compared with other types of urinary tract tumors) (OR=3.68, 95% CI: 1.58-8.58, P=0.003), and the 24 h postoperative moderate to severe pain (OR=2.57, 95% CI: 1.14-5.83, P=0.024) were the independent risk factors affecting CPSP. CONCLUSION Age < 75 years, renal cancer and the 24 h postoperative moderate to severe pain are influence factors of the occurrence of CPSP after laparoscopic surgery in elderly patients with urinary tract tumors. Optimum postoperative multimodal analgesia strategies are suggested to prevent the occurrence of CPSP.
Male ; Female ; Humans ; Aged ; Retrospective Studies ; Chronic Pain/diagnosis* ; Laparoscopy/adverse effects* ; Pain, Postoperative/etiology* ; Kidney Neoplasms/complications* ; Carcinoma, Renal Cell/complications* ; Risk Factors

Objective: To investigate the expression of glycoprotein non metastatic melanoma protein B (GPNMB) in renal eosinophilic tumors and to compare the value of GPNMB with CK20, CK7 and CD117 in the differential diagnosis of renal eosinophilic tumors. Methods: Traditional renal tumor eosinophil subtypes, including 22 cases of renal clear cell carcinoma eosinophil subtype (e-ccRCC), 19 cases of renal papillary cell carcinoma eosinophil subtype (e-papRCC), 17 cases of renal chromophobe cell carcinoma eosinophil subtype (e-chRCC), 12 cases of renal oncocytoma (RO) and emerging renal tumor types with eosinophil characteristics [3 cases of eosinophilic solid cystic renal cell carcinoma (ESC RCC), 3 cases of renal low-grade eosinophil tumor (LOT), 4 cases of fumarate hydratase-deficient renal cell carcinoma (FH-dRCC) and 5 cases of renal epithelioid angiomyolipoma (E-AML)], were collected at the Affiliated Drum Tower Hospital of Nanjing University Medical School from January 2017 to March 2022. The expression of GPNMB, CK20, CK7 and CD117 was detected by immunohistochemistry and statistically analyzed. Results: GPNMB was expressed in all emerging renal tumor types with eosinophil characteristics (ESC RCC, LOT, FH-dRCC) and E-AML, while the expression rates in traditional renal eosinophil subtypes e-papRCC, e-chRCC, e-ccRCC and RO were very low or zero (1/19, 1/17, 0/22 and 0/12, respectively); the expression rate of CK7 in LOT (3/3), e-chRCC (15/17), e-ccRCC (4/22), e-papRCC (2/19), ESC RCC (0/3), RO (4/12), E-AML(1/5), and FH-dRCC (2/4) variedly; the expression of CK20 was different in ESC RCC (3/3), LOT(3/3), e-chRCC(1/17), RO(9/12), e-papRCC(4/19), FH-dRCC(1/4), e-ccRCC(0/22) and E-AML(0/5), and so did that of CD117 in e-ccRCC(2/22), e-papRCC(1/19), e-chRCC(16/17), RO(10/12), ESC RCC(0/3), LOT(1/3), E-AML(2/5) and FH-dRCC(1/4). GPNMB had 100% sensitivity and 97.1% specificity in distinguishing E-AML and emerging renal tumor types (such as ESC RCC, LOT, FH-dRCC) from traditional renal tumor types (such as e-ccRCC, e-papRCC, e-chRCC, RO),respectively. Compared with CK7, CK20 and CD117 antibodies, GPNMB was more effective in the differential diagnosis (P<0.05). Conclusion: As a new renal tumor marker, GPNMB can effectively distinguish E-AML and emerging renal tumor types with eosinophil characteristics such as ESC RCC, LOT, FH-dRCC from traditional renal tumor eosinophil subtypes such as e-ccRCC, e-papRCC, e-chRCC and RO, which is helpful for the differential diagnosis of renal eosinophilic tumors.
Humans ; Kidney Neoplasms/pathology* ; Carcinoma, Renal Cell/pathology* ; Diagnosis, Differential ; Angiomyolipoma/diagnosis* ; Biomarkers, Tumor/metabolism* ; Leukemia, Myeloid, Acute/diagnosis* ; Membrane Glycoproteins

Objective: To investigate the clinicopathologic and molecular characteristics of fumarate hydratase (FH) deficient uterine leiomyoma. Methods: Eighty cases of FH deficient uterine leiomyoma were diagnosed from April 2018 to September 2022 in Department of Pathology, Peking University Third Hospital. Sanger sequencing of FH gene exons (exon 1-10) were performed on tumor tissues and matched non-tumor tissues/peripheral blood for all cases. FH immunohistochemistry were performed in 74 cases; S-(2-succino)-cysteine (2SC) were also detected by immunohistochemistry in five cases. Results: Patients' age ranged from 18 to 54 (36.0±7.5) years, with more than 60% exhibiting clinical symptoms of multiple and large leiomyomas (the median diameter was 70 mm). More than four histologic features, including staghorn vasculature, alveolar-pattern edema, bizarre nuclei, oval nuclei arranged in chains, prominent eosinophilic nucleoli with perinucleolar haloes and eosinophilic intracytoplasmic globules were observed in 98.5% (67/68) patients. The immunohistochemical sensitivity of FH and 2SC were 97.3% and 100%, respectively. Based on the Sanger sequencing results, the cases were divided into germline variant group (31 cases), somatic variant group (29 cases) and no variant group (20 cases). Sixty-nine percent (20/29) of the patients with FH germline variation had clear family history. Conclusions: Clinical features, histological morphology, FH and 2SC immunohistochemistry and Sanger sequencing have their own significance and limitations in differential diagnosis of FH deficient uterine leiomyoma. In clinical practice, the above information should be fully integrated and studied for accurate pathologic diagnosis and selection of patients with FH germline variation.
Female ; Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Fumarate Hydratase/genetics* ; Uterine Neoplasms/pathology* ; Leiomyoma/pathology* ; Germ-Line Mutation ; Diagnosis, Differential ; Leiomyomatosis/pathology* ; Carcinoma, Renal Cell/diagnosis*

OBJECTIVE: To investigate and summarize the clinicopathological features, immunophenotype, differential diagnosis and prognosis analysis of mucinous tubular and spindle cell carcinoma (MTSCC). METHODS: The data of thirteen cases of MTSCC were retrospectively analyzed, the clinical and pathological characteristics and immunohistochemical expression were summarized, and fluorescence in situ hybridization was detected. RESULTS: Among the thirteen patients, four were males and nine females, with a male-to-female ratio of 1 ∶2.25. The average age was 57.1 years, ranging from 39 to 78 years. The maximum diameter of the tumor was 2-12 cm. All cases had no symptoms, and were accidentally discovered, 3 cases underwent partial renal resection, 10 cases underwent radical renal resection, 9 cases were located in the left kidney, and 4 cases were located in the right kidney. Most of the cases showed the classical morphological changes, with 11 cases of nuclear grading [World Health Organization (WHO)/International Society of Urological Pathology (ISUP) grading system] being G2 and 2 cases being G3. There were 6 cases of stage PT1a, 3 cases of PT1b, 2 cases of PT2a, and 1 case of PT2b and 1 case of PT3a. The positive rates of immunohistochemical staining were: vimentin, AE1/AE3, α-methylacyl-CoA racemase (αMACR) and cytokeratin (CK) 8/18, 100% (13/13); CK7, 92.3% (12/13); epithelial membrane antigen (EMA), 92.3% (12/13); CK20, 46.2% (6/13); CD10, 30.8% (4/13); synaptophysin (Syn), 7.7% (1/13); chromogranin A (CgA), CD57, WT1 and Ki-67, 0 (0/13), and fluorescence in situ hybridization showed that no trisomy of chromosomes 7 and 17 were observed in any of the cases. The follow-up period was 6 months to 7 years and 6 months, 2 cases died after lung metastasis (one with ISUP/WHO grade G3, one with necrosis), and the remaining 11 cases had no recurrence and metastasis. CONCLUSION MTSCC is a unique type of low-grade malignancy kidney tumor, occurs predominantly in females, widely distributed in age, the current treatment method is surgical resection, and cases with necrosis and high-grade morphology are prone to recurrence and metastasis, although most cases have a good prognosis, but they still need close follow-up after surgery.
Humans ; Male ; Female ; Middle Aged ; Kidney Neoplasms/surgery* ; Carcinoma, Renal Cell/diagnosis* ; In Situ Hybridization, Fluorescence ; Retrospective Studies ; Adenocarcinoma, Mucinous/pathology* ; Kidney/pathology* ; Prognosis ; Necrosis

OBJECTIVE: To compare the performance of Clear Cell Likelihood Score (ccLS) v1.0 and v2.0 in diagnosing clear cell renal cell carcinoma (ccRCC) from small renal masses (SRM). METHODS: We retrospectively analyzed the clinical data and MR images of patients with pathologically confirmed solid SRM from the First Medical Center of the Chinese PLA General Hospital between January 1, 2018, and December 31, 2021, and from Beijing Friendship Hospital of Capital Medical University and Peking University First Hospital between January 1, 2019 and May 17, 2021. Six abdominal radiologists were trained for use of the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0. Random- effects logistic regression modeling was used to generate plot receiver operating characteristic curves (ROC) to evaluate the diagnostic performance of ccLS v1.0 and ccLS v2.0 for ccRCC, and the area under curve (AUC) of these two scoring systems were compared using the DeLong's test. Weighted Kappa test was used to evaluate the interobserver agreement of the ccLS score, and differences in the weighted Kappa coefficients was compared using the Gwet consistency coefficient. RESULTS: In total, 691 patients (491 males, 200 females; mean age, 54 ± 12 years) with 700 renal masses were included in this study. The pooled accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ccLS v1.0 for diagnosing ccRCC were 77.1%, 76.8%, 77.7%, 90.2%, and 55.7%, as compared with 80.9%, 79.3%, 85.1%, 93.4%, 60.6% with ccLS v2.0, respectively. The AUC of ccLS v2.0 was significantly higher than that of ccLS v1.0 for diagnosis of ccRCC (0.897 vs 0.859; P < 0.01). The interobserver agreement did not differ significantly between ccLS v1.0 and ccLS v2.0 (0.56 vs 0.60; P > 0.05). CONCLUSION ccLS v2.0 has better performance for diagnosing ccRCC than ccLS v1.0 and can be considered for use to assist radiologists with their routine diagnostic tasks.
Female ; Male ; Humans ; Adult ; Middle Aged ; Aged ; Carcinoma, Renal Cell/diagnosis* ; Retrospective Studies ; Kidney ; Carcinoma ; Kidney Neoplasms/diagnosis*

Tubulocystic renal cell carcinoma (TC-RCC) is a recently recognized, rare but distinct malignant entity. Pathologists have endeavored to completely define its histomorphologic, immunohistochemical and molecular features. Recounted is a case where the diagnosis of TC-RCC was confounded by presence of papillary morphology. Immunohistochemical expression of alpha-methyl acyl-CoA-racemase and vimentin with corresponding negativity for CK7 and CD10, following distinctive gross and microscopic findings, confirmed a diagnosis of TC-RCC. This report demonstrates the strategic value of performing immunohistochemistry studies to establish a diagnosis of TC-RCC especially when unusual histologic features are encountered. Immunohistochemistry continues to be the most practical approach to diagnosis as molecular testing methods, such as next generation sequencing, remain unfeasible in the local setting. Cautious prognostication is required as accounts of recurrence and metastasis continue to emerge.
Carcinoma, Renal Cell ; Histology ; Immunohistochemistry ; Diagnosis ; Pathology, Surgical

OBJECTIVE: To investigate the capabilities of classification models based on hierarchical fusion framework of multi-classifier using a random projection strategy for differentiation of renal cell carcinoma (RCC) from small renal angiomyolipoma (< 4 cm) without visible fat (AMLwvf). METHODS: We retrospectively collected the clinical data from 163 patients with pathologically proven small renal mass, including 118 with RCC and 45 with AMLwvf.Target region of interest (ROI) delineation was performed on an unenhanced phase (UP) CT image slice displaying the largest lesion area.The radiomics features were used to establish a hierarchical fusion method.On the projection-based level, the homogeneous classifiers were fused, and the fusion results were further fused at the classifier-based level to construct a multi-classifier fusion system based on random projection for differentiation of AMLwvf and RCC.The discriminative capability of this model was quantitatively evaluated using 5-fold cross validation and 4 evaluation indexes[specificity, sensitivity, accuracy and area under ROC curve (AUC)].We quantitatively compared this multi-classifier fusion framework against different classification models using a single classifier and several multi-classifier ensemble models. RESULTS: When the projection number was set at 10, the proposed hierarchical fusion differentiation framework achieved the best results on all the evaluation measurements.At the optimal projection number of 10, the specificity, sensitivity, average accuracy and AUC of the multi-classifier ensemble classification system for differentiation between AMLwvf and RCC were 0.853, 0.693, 0.809 and 0.870, respectively. CONCLUSION The proposed model constructed based on a multi-classifier fusion system using random projection shows better performance to differentiate RCC from AMLwvf than the AMLwvf and RCC discrimination models based on a single classification algorithm and the currently available benchmark ensemble methods.
Angiomyolipoma/pathology* ; Carcinoma, Renal Cell ; Diagnosis, Differential ; Humans ; Kidney Neoplasms/pathology* ; Retrospective Studies ; Tomography, X-Ray Computed/methods*

Objective To investigate the clinicopathological features and prognosis of chromophobe renal cell carcinoma(ChRCC). Methods The clinical and pathological data of 126 patients with ChRCC treated in Cancer Hospital of Chinese Academy of Medical Sciences were retrospectively analyzed. Results The patients included 64 males and 62 females,with the age of 22-80 years(median of 52 years).The tumor was located on the right side in 70 cases and on the left side in 56 cases.Ultrasound,CT or magnetic resonance imaging(MRI)were performed.Of the 110 cases receiving ultrasound examination,63,23,13,10,and 1 cases showed hypoecho,hyperecho,isoecho,uneven or mixed echo,and dark hypoecho,respectively.Color Doppler flow imaging showed no blood flow signal in 42 cases and low blood flow signal in 60 cases out of 68 cases with blood flow signal.Among the 54 cases receiving CT,50 cases showed equal density or low density and 4 cases showed high density with clear boundary.The enhanced scanning showed mild to moderate uniform or non-uniform reinforcement,mostly below the renal parenchyma,and still showed reinforcement in the delayed period.Among the 97 cases receiving MRI,96 cases showed hypo-or isointense signals and 1 case showed hyperintense signal in T1 weighted images;71 cases showed hyper-or isointense signals and 26 cases showed hypo-or isointense signals in T2 weighted images;93 cases showed hyperintense signals with obvious limited diffusion and 4 cases showed unobvious limited diffusion in diffusion weighted images.Mild to moderate uniform or non-uniform reinforcement was observed in most of the enhanced scans.All the 126 patients underwent surgical treatment,including 64 cases of nephron sparing surgery and 62 cases of radical surgery.Pathological examinations confirmed ChRCC for all the patients,including 91 cases of T1N0M0,15 cases of T2N0M0,and 20 cases of T3N0M0.The immunohistochemical assay demonstrated the positive expression rate of 48.2%(54/112)for CD10,92.3%(96/104)for CD117,8.0%(9/112)for vimentin,85.6%(95/111)for CK7,and 97.6%(83/85)for colloidal iron.Conclusions ChRCC is less common,with low level of malignancy and good prognosis.Since the clinical symptoms of ChRCC are not typical,MRI is an important means of imaging differential diagnosis,and the disease can be confirmed depending on pathological diagnosis.Surgery is the preferred treatment method,and currently there is no standard treatment regimen for metastatic patients.
Adult ; Aged ; Aged, 80 and over ; Carcinoma, Renal Cell/diagnostic imaging* ; Diagnosis, Differential ; Female ; Humans ; Immunohistochemistry ; Kidney Neoplasms/surgery* ; Male ; Middle Aged ; Retrospective Studies ; Young Adult

Renal cell carcinoma(RCC)is one of the most common malignant tumors in the urinary system.Many patients have already been in the advanced stage at the first medical consultation and the prognosis is dismal.Metabonomics searches for differential metabolomes through high-throughput analysis of endogenous metabolites showing high potential in the early diagnosis of RCC and the investigations on its pathophysiological mechanisms.Metabonomics techniques are also useful for identifying tumor markers,which will help to enable early diagnosis and improve clinical prognosis of RCC.
Biomarkers, Tumor ; Carcinoma, Renal Cell ; diagnosis ; Early Detection of Cancer ; Humans ; Kidney Neoplasms ; diagnosis ; Metabolome ; Prognosis

To explore the application of radiomic analysis in differential diagnosis of renal cell carcinoma in patients with hydronephrosis and renal calculi using supervised machine learning methods.The abdominal CT scan data were retrospectively analyzed for 66 patients with pathologically confirmed hydronephrosis and renal calculi, among whom 35 patients had renal cell carcinoma. In each case 18 non-texture features and 344 texture features were extracted from the region of interest (ROI). Infinite feature selection (InfFS)-based forward feature selection method coupled with support vector machine (SVM) classifier was used to select the optimal feature subset. SVM was trained and performed the prediction using the selected feature subset to classify whether hydronephrosis with renal calculi was associated with renal cell carcinoma.A total of 12 texture features were selected as the optimal features. The area under curve (AUC), accuracy, sensitivity, specificity, false positive rate and false negative rate of the SVM- InfFS model for predicting accompanying renal tumors in patients with hydronephrosis and calculi were 0.907, 81.0%, 70.0%, 90.9%, 9.1%, and 30.0%, respectively. The diagnostic accuracy, sensitivity, specificity, false positive and false negative rates by the clinicians provided with these classification results were 90.5%, 80.0%, 100%, 0.00%, and 20.0%, respectively.The computer-aided classification model based on supervised machine learning can effectively extract the diagnostic information and improve the diagnostic rate of renal cell carcinoma associated with hydronephrosis and renal calculi.
Carcinoma, Renal Cell ; diagnosis ; Diagnosis, Differential ; Humans ; Hydronephrosis ; diagnosis ; Kidney Calculi ; Kidney Neoplasms ; diagnosis ; Retrospective Studies