scholarly journals Urine-Based Metabolomics and Machine Learning Reveals Metabolites Associated with Renal Cell Carcinoma Stage

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6253
Author(s):  
Olatomiwa O. Bifarin ◽  
David A. Gaul ◽  
Samyukta Sah ◽  
Rebecca S. Arnold ◽  
Kenneth Ogan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Renal Cell ◽  
Metabolic Phenotype ◽  
Support Vector ◽  
Size Estimation ◽  
Urine Metabolites ◽  
Adaptive Boosting

Urine metabolomics profiling has potential for non-invasive RCC staging, in addition to providing metabolic insights into disease progression. In this study, we utilized liquid chromatography-mass spectrometry (LC-MS), nuclear magnetic resonance (NMR), and machine learning (ML) for the discovery of urine metabolites associated with RCC progression. Two machine learning questions were posed in the study: Binary classification into early RCC (stage I and II) and advanced RCC stages (stage III and IV), and RCC tumor size estimation through regression analysis. A total of 82 RCC patients with known tumor size and metabolomic measurements were used for the regression task, and 70 RCC patients with complete tumor-nodes-metastasis (TNM) staging information were used for the classification tasks under ten-fold cross-validation conditions. A voting ensemble regression model consisting of elastic net, ridge, and support vector regressor predicted RCC tumor size with a R2 value of 0.58. A voting classifier model consisting of random forest, support vector machines, logistic regression, and adaptive boosting yielded an AUC of 0.96 and an accuracy of 87%. Some identified metabolites associated with renal cell carcinoma progression included 4-guanidinobutanoic acid, 7-aminomethyl-7-carbaguanine, 3-hydroxyanthranilic acid, lysyl-glycine, glycine, citrate, and pyruvate. Overall, we identified a urine metabolic phenotype associated with renal cell carcinoma stage, exploring the promise of a urine-based metabolomic assay for staging this disease.

scholarly journals Coupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma

2020 ◽  
Vol 20 (1) ◽  
pp. 841-857
Author(s):  
Malena Manzi ◽  
Martín Palazzo ◽  
María Elena Knott ◽  
Pierre Beauseroy ◽  
Patricio Yankilevich ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mass Spectrometry ◽  
Renal Cell Carcinoma ◽  
Early Detection ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Learning Approach ◽  
Cell Renal Cell Carcinoma ◽  
Machine Learning Approach

Sonographic patterns of renal Cell carcinoma with emphasis on relation to tumor size

1984 ◽  
Vol 12 (5) ◽  
pp. 247-250 ◽  
Author(s):  
Sumiko Sugimoto ◽  
Fumio Tsujimoto ◽  
Yoshinari Kato ◽  
Shimpei Tada ◽  
Tetsuro Onishi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Renal Cell ◽  
Sonographic Patterns

scholarly journals Adrenal metastases: clinical manifestations and surgical outcomes

2018 ◽  
Vol 14 (2) ◽  
pp. 79-87 ◽  
Author(s):  
V. R. Latypov ◽  
O. S. Popov ◽  
V. N. Latypova ◽  
M. Yu. Grishchenko
Keyword(s):  
Lung Cancer ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Renal Cell ◽  
Clinical Manifestations ◽  
Adrenal Metastasis ◽  
Adrenal Metastases ◽  
The Mean ◽  
Mean Time

Background. The adrenal glands are one of the most common sites of metastases in malignant disease, particularly lung cancer. The frequency of adrenal metastasis in patients with breast cancer and lung cancer reaches 39 and 35 % respectively.Materials and methods. A total of 156 patients with adrenal tumors underwent surgical treatment in the Siberian State Medical University between December 1998 and July 2017. The study included 16 (10.2 %) patients (9 males and 7 females) with adrenal metastases. The mean age of study participants was 57.6 years (range: 44–73 years).Results. By the moment of surgery, the mean metastatic adrenal tumor size was 4.9 ± 3.0 cm (range: 1.0–10.2 cm). Thirteen out of 16 patients had adrenal metastases from renal cell carcinoma, one patient – from colon cancer, one patient – from lung cancer, and one patient – from breast cancer. Nine patients had left-sided adrenal metastases, whereas six patients had right-sided adrenal metastases. Synchronous adrenal metastasis was detected in two cases: one patient had adrenal metastasis at the side of the renal tumor; the other one had bilateral renal cell carcinoma with both adrenal glands affected.We identified three main variants of the disease course according to prevailing clinical manifestations of adrenal metastasis: no manifestations, pain syndrome, and arterial hypertension.Seven participants had no clinical manifestations; of them, 6 patients had renal cell carcinoma, whereas 1 patient had breast cancer. The mean time between surgical removal of the primary tumor and detection of adrenal metastases was 24.1 months; the mean tumor size was 4.5 cm.Pain syndrome was observed in 5 patients. In three of them, adrenal metastases derived from renal cell carcinoma, in one patient – from lung cancer, and in one patient – from colon cancer. The mean time between removal of the primary tumor and detection of adrenal metastases was 19.8 months; the mean tumor size was 5.4 cm.Arterial hypertension was diagnosed in four patients. The mean time between removal of the primary tumor and identification of adrenal metastases was 27.3 months; the mean tumor size was 4.1 cm. The five-year overall survival rate in operated patient was 47.8 %.Conclusion. Regular examinations of patients after surgical treatment of malignant tumors are needed to detect adrenal metastases; surgery can extend the patient’s life. can extend the patient’s life.

Tumor-size breakpoint for prognostic stratification of localized renal cell carcinoma

Urology ◽  
2004 ◽  
Vol 63 (2) ◽  
pp. 235-239 ◽  
Author(s):  
Vincenzo Ficarra ◽  
Tommaso Prayer-Galetti ◽  
Giacomo Novara ◽  
Emiliano Bratti ◽  
Luisa Zanolla ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Renal Cell ◽  
Prognostic Stratification ◽  
Localized Renal Cell Carcinoma

scholarly journals Clinical Significance of Tumor Size, Pathological Invasion Sites Including Urinary Collecting System and Clinically Detected Renal Vein Thrombus as Predictors for Recurrence in pT3a Localized Renal Cell Carcinoma

Diagnostics ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 154 ◽  
Author(s):  
Takuto Shimizu ◽  
Makito Miyake ◽  
Shunta Hori ◽  
Kota Iida ◽  
Kazuki Ichikawa ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Recurrence Rate ◽  
Tumor Size ◽  
Renal Cell ◽  
Renal Vein ◽  
Recurrence Rates ◽  
Renal Sinus ◽  
Collecting System ◽  
Urinary Collecting System

The recent eighth tumor-node-metastasis (TMN) staging system classifies renal cell carcinoma (RCC) with perirenal fat invasion (PFI), renal sinus fat invasion (SFI), or renal vein invasion (RVI) as stage pT3a. However, limited data are available on whether these sites have similar prognostic value or recurrence rate. We investigated the recurrence rate based on tumor size, pathological invasion sites including urinary collecting system invasion (UCSI), and clinically detected renal vein thrombus (cd-RVT) with pT3aN0M0 RCC. We retrospectively reviewed 91 patients with pT3aN0M0 RCC who underwent surgical treatment. Patients with tumor size > 7 cm, UCSI, three invasive sites (PFI + SFI + RVI), and cd-RVT showed a significant correlation with high recurrence rates (hazard ration (HR) 2.98, p = 0.013; HR 8.86, p < 0.0001; HR 14.28, p = 0.0008; and HR 4.08, p = 0.0074, respectively). In the multivariate analysis, tumor size of >7 cm, the presence of UCSI, and cd-RVT were the independent predictors of recurrence (HR 3.39, p = 0.043, HR 7.31, p = 0.01, HR 5.06, p = 0.018, respectively). In pT3a RCC, tumor size (7 cm cut-off), UCSI, and cd-RVT may help to provide an early diagnosis of recurrence.

CT Features of Renal Cell Carcinoma with Emphasis on Relation to Tumor Size

1990 ◽  
Vol 25 (3) ◽  
pp. 261-266 ◽  
Author(s):  
RONALD J. ZAGORIA ◽  
NEIL T. WOLFMAN ◽  
NOLAN KARSTAEDT ◽  
GREGORY C. HINN ◽  
RAYMOND B. DYER ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Renal Cell ◽  
Ct Features
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