Radiomic features of renal cell carcinoma primary and metastatic sites as predictors of TERT and BAP1 mutations.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 282-282
Author(s):  
Luis A Meza ◽  
Aleksandr Filippov ◽  
Sohaib Naim ◽  
Nazli Dizman ◽  
Alex Chehrazi-Raffle ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Primary Tumor ◽  
Renal Cell ◽  
Gray Level ◽  
Primary Tumors ◽  
Non Invasive ◽  
Invasive Method ◽  
Metastatic Sites ◽  
Tert Mutation

282 Background: TERT and BAP1 mutations are associated with poor clinical outcome in patients (pts) with metastatic renal cell carcinoma (mRCC) (Dizman et al JITC 2020; Joseph et al J Urol 2016). In this study we explore radiogenomics as a non-invasive method to identify these alterations. Methods: Pts with mRCC who had genomic testing in the course of routine clinical care were included in the current analysis. Pts were assessed with the GEM Extra assay, a CAP-accredited, CLIA-certified test encompassing paired tumor-normal whole exome sequencing (WES) and tumor whole transcriptome sequencing (TGen; Phoenix, AZ). Pts underwent CT imaging; radiomic analysis was performed on the segmented metastatic and primary lesions. Features were independently correlated with TERT and BAP1 mutation status to generate Pearson correlation values (PCVs). Results: 92 pts (65:27 M: F) were included in the analysis; of these, the majority of pts (84%) had clear cell histology. Alterations in the TERT gene were seen in 12 pts. In these pts 1,325 radiomic features of the primary tissue were examined and 251 features correlated with a PCV ≥ |0.2|. Of these, 42 features were correlated with a PCV ≥ |0.3|. Highest correlation with TERT mutation was seen with Gray Level Cooccurrence Matrix (GLCM) and First Order Features (FOF). 9 pts had BAP1 mutation with 5 detected in primary tumor and 4 in metastatic sites. Analysis of primary tumor imaging yielded no significant associations between radiomic features and BAP1 mutation. However, out of approximately 1,500 radiomic features noted in metastatic sites, 111 features correlated with BAP1 mutation with a PCV ≥ 0.2. Of these, 15 features correlated with a PCV ≥ 0.3. The radiomic features with the highest correlation with BAP1mt were Gray Level Dependence Matrix (GLDM) and GLCM. Conclusions: By identifying a correlation between radiomic features of TERT mutation in primary tumors and BAP1 mutation in metastatic sites, our work may ultimately yield a non-invasive method of discerning mutational status in patents with mRCC. Efforts are ongoing to validate our findings within The Cancer Imaging Archive.

scholarly journals MET Expression in Primary and Metastatic Clear Cell Renal Cell Carcinoma: Implications of Correlative Biomarker Assessment to MET Pathway Inhibitors

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Brian Shuch ◽  
Ryan Falbo ◽  
Fabio Parisi ◽  
Adebowale Adeniran ◽  
Yuval Kluger ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Predictive Biomarkers ◽  
Cell Renal Cell Carcinoma ◽  
Primary Tumors ◽  
Distant Tissue ◽  
Significant Expression ◽  
Metastatic Sites

Aims. Inhibitors of the MET pathway hold promise in the treatment for metastatic kidney cancer. Assessment of predictive biomarkers may be necessary for appropriate patient selection. Understanding MET expression in metastases and the correlation to the primary site is important, as distant tissue is not always available.Methods and Results. MET immunofluorescence was performed using automated quantitative analysis and a tissue microarray containing matched nephrectomy and distant metastatic sites from 34 patients with clear cell renal cell carcinoma. Correlations between MET expressions in matched primary and metastatic sites and the extent of heterogeneity were calculated. The mean expression of MET was not significantly different between primary tumors when compared to metastases (P=0.1). MET expression weakly correlated between primary and matched metastatic sites (R=0.5) and a number of cases exhibited very high levels of discordance between these tumors. Heterogeneity within nephrectomy specimens compared to the paired metastatic tissues was not significantly different (P=0.39).Conclusions. We found that MET expression is not significantly different in primary tumors than metastatic sites and only weakly correlates between matched sites. Moderate concordance of MET expression and significant expression heterogeneity may be a barrier to the development of predictive biomarkers using MET targeting agents.

Concordance of Pathologic Features Between Metastatic Sites and the Primary Tumor in Surgically Resected Metastatic Renal Cell Carcinoma

Urology ◽  
2016 ◽  
Vol 96 ◽  
pp. 106-113 ◽  
Author(s):  
Sarah P. Psutka ◽  
John C. Cheville ◽  
Brian A. Costello ◽  
Suzanne B. Stewart-Merrill ◽  
Christine M. Lohse ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Primary Tumor ◽  
Renal Cell ◽  
Pathologic Features ◽  
Metastatic Sites

FGFR2 expression to predict survival outcome in patients with metastatic papillary renal cell carcinoma.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 506-506 ◽  
Author(s):  
Ilya Tsimafeyeu ◽  
Alexandra Naumova ◽  
Evgenia Stepanova ◽  
Alfia Khasanova ◽  
Ilya Varlamov ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Cells ◽  
Renal Cell ◽  
Objective Response ◽  
Progression Free Survival ◽  
Papillary Renal Cell Carcinoma ◽  
Survival Outcome ◽  
Primary Tumors ◽  
Metastatic Sites

506 Background: In our previous study we showed that fibroblast growth factor receptor 2 (FGFR2) mutations are rare across papillary types of renal cell carcinoma (pRCC). The aim of the present study is to test FGFR2 expression for association with survival outcome in the largest patient cohort to date. Methods: Formalin-fixed, paraffin-embedded specimens of removed primary tumors from 214 untreated metastatic pRCC patients were evaluated by immunohistochemistry with FGFR2 antibody (Santa Cruz Biotechnology). Expression was quantified by consensus of two independent observers using a four-value intensity score (0, 1+, 2+, and 3+) and the percentage (0-100%) of the extent of reactivity. Expression was scored according to the percentage of positive cells present among all tumor cells in the section. The cytoplasmic and nuclear expression score was obtained by multiplying the intensity and reactivity extension values (range, 0-300). FGFR2 expression was tested for associations with progression-free survival (PFS), overall survival (OS) and best objective response. Results: Expression of FGFR2 was observed in 23% (49/214) of primary pRCC, mostly in cytoplasm of tumor cells. 2 of 214 (1%) patients had nuclear FGFR2 expression. Intensity was 3+ in all cases. Expression of FGFR2 was significant lower in the normal tissue of kidney (1%, P=0.001). FGFR2 expression was strongly associated with a number of metastatic sites (2 and more metastatic sites vs. 0-1), type 2 of pRCC, lower nucleolar grade (P<0.001). FGFR2-positive patients had significantly shorter OS and PFS in first-line therapy (P<0.05; Table). On multivariate analysis, FGFR2 expression, MSKCC risk group, and type of pRCC were found to be independent predictors of survival. Conclusions: In this study, we described immunohistochemical expression of FGFR2 in a large series of pRCC specimens. FGFR2 expression was found to be prognostic factor for survival in patients with metastatic pRCC. Clinical trial information: rosoncoweb2011. [Table: see text]

Association of PD-1 and PD-L1 protein expression in matched primary and metastatic renal cell carcinoma tumors.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 418-418 ◽  
Author(s):  
Brian I. Rini ◽  
Jennifer Yearly ◽  
Hari Dhakal ◽  
Christopher Przybycin
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Linear Regression Analysis ◽  
Matched Pair ◽  
Primary Tumors ◽  
Metastatic Site ◽  
Metastatic Sites

418 Background: Therapy targeting programmed death (PD)-1 and PD-L1 proteins has activity in metastatic renal cell carcinoma (mRCC). Expression of these proteins on tumor and infiltrating immune cells is associated with a higher response to drugs inhibiting this pathway. However, these associations have been made based on primary tumor expression, while therapy is directed against metastatic deposits. Methods: Patients with mRCC and metastases (all clear cell; 3 with sarcomatoid changes) who had undergone resection of both the primary and at least one metastatic tumor were included. Samples were evaluated for PD-1 and PD-L1 expression by immunohistochemistry using anti-PD-1 clone NAT105 and Merck proprietary anti-PD-L1 clone 22C3. Stained sections were scored for PD-1 and PD-L1 using a semi-quantitative 0 to 5 scale (0 = negative, 1 = rare, 2 = low, 3 = moderate, 4= high, 5 = very high). PD-1 expression was limited to cells with lymphoid morphology, PD-L1 expression was evaluated for both tumor and non-tumor (inflammatory, endothelial) cells. Linear regression analysis was performed to assess significance of correlations. Results: Fifty matched primary and metastatic RCC tissue sets were analyzed with 48 evaluable matched pairs. PD-1 score greater than 3 (considered positive) was detected in 9 primary tumors (18%) and 9 metastatic sites (18%). PD-L1 score greater than 3 was detected in 9 primary tumors (18%) and 12 metastatic sites (24%). There was a correlation between PD-1 scores for primary and metastatic pairs (R2=0.194; p<0.002) and between PD-L1 scores for primary and metastatic pairs (R2=0.319; p<0.0001). There was an association between PD-1 score and PD-L1 score for primary tumors (R2=0.513; p<0.0001) and for metastatic sites (R2=0.449; p<0.0001). For PD-1 score, there were 10 pairs (21%) in which either the primary or metastatic site score was ≥3, but the matched pair was < 3. For PD-L1 score, there were 9 pairs (19%) in which either the primary or metastatic site score was ≥3, but the matched pair was < 3. Conclusions: The expression of PD1 and PD-L1 in primary clear cell RCC tumors is correlated with metastatic site expression, although there are a substantial percentage of tumors with discordance.

The genomic landscape of metastatic non-clear cell renal cell carcinoma.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 474-474 ◽  
Author(s):  
Maria Isabel Carlo ◽  
Nabeela Khan ◽  
Yingbei Chen ◽  
James Hsieh ◽  
A. Ari Hakimi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Mtor Inhibitors ◽  
Driver Gene ◽  
Cell Renal Cell Carcinoma ◽  
Primary Tumors ◽  
Targeted Next Generation Sequencing ◽  
Metastatic Sites

474 Background: Non-clear cell renal cell carcinoma (nccRCC) encompasses about 20% of RCC cases and includes a number of subtypes that vary clinically and molecularly. Compared to ccRCC, these tumors have more limited sensitivity to conventional anti-VEGF agents and mTOR inhibitors, and there is clear need for better therapies. Analysis of genomic alterations in potentially targetable pathways may lead to novel therapeutic development strategies. Methods: We retrospectively analyzed tumors from 112 patients with metastatic nccRCC with targeted next-generation sequencing (NGS) across a panel of >340 cancer-relevant genes. Matched tumor and normal was used to facilitate somatic calling. We report on recurrent alterations observed for nccRCC variants. Results: Median age was 53 years (range 12-77), 67% were male; 47% presented with metastatic disease and 53% with localized disease that later metastasized. NGS was performed on tissue from primary tumors (57%) or metastatic sites (43%). Subtype classifications included unclassified (44%), papillary (21%), chromophobe (13%), translocation (12%), and other (9%). The most frequently altered genes by subtype are included in table. 36% of unclassified or papillary tumors had a mutation in a putative driver gene amenable to targeted therapies, including MET, NOTCH1, SMARCB1, TSC1, TSC2, PIK3CA, and FGFR3. 3 chromophobe tumors and 1 translocation tumor had a mutation in a potentially targetable pathway. Conclusions: The mutation profiles of metastatic nccRCC vary by papillary, chromophobe, and translocation subtype, with unclassified tumors most approximating papillary subtype. Unclassified and papillary subtypes harbor frequent mutations in potentially targetable pathways that merit further investigation. [Table: see text]

Fractional percentage of tumor volume removed is a predictor of outcome following cytoreductive nephrectomy for metastatic renal cell carcinoma

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4599-4599 ◽  
Author(s):  
S. Collins ◽  
P. M. Pierorazio ◽  
J. M. McKiernan ◽  
M. C. Benson
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Primary Tumor ◽  
Renal Cell ◽  
Tumor Volume ◽  
Rank Test ◽  
Cytoreductive Nephrectomy ◽  
Primary Tumors

4599 Background: Metastatic renal cell carcinoma, (M+)RCC, is associated with poor overall survival with only 10–20% of patients alive at 2-years. The objective of this study is to determine if the fractional percentage of tumor volume (FPTV) removed at cytoreductive nephrectomy predicts disease specific survival (DSS). Methods: The Columbia Urologic Oncology Database was reviewed and 1,016 patients were identified that underwent renal surgery from 1988 to the present. A retrospective cohort of 93 patients were identified with (M+)RCC at the time of nephrectomy. The prospective database was reviewed to determine the FPTV removed and remaining following surgery. Patients were stratified to having greater or less than 90% of their cancer burden removed. Primary outcome was defined as DSS. Kaplan-Meier analysis with log-rank test was performed to determine survival advantage between groups. A Cox proportional hazard model was fit for PTR in both univariate and multivariate models. Secondary analyses were conducted to determine if the size of primary tumor affected outcome and if FPTV affected hospitalization time. Results: 63 of 77 patients had >90% of their tumor burden removed. Median follow-up time was 8.6 months. Median DSS times were calculated to be 18.8 and 3.6 months for patients with >90% and <90% PTR respectively (p < 0.001). The hazard ratio for death was 5.73 for patients with <90% of tumor removed (p < 0.001). Those with >90% removed had larger primary tumors, 10.6cm vs. 7.2cm in the <90% removed group (p = 0.01). Outcome analysis by size of primary tumor demonstrated no difference in survival. Patients with <90% removed spent 13.6% of DSS time hospitalized compared to 6.3% for those with >90% removed (p = 0.89). Conclusions: For patients with (M+)RCC, overall survival is limited but can be extended by cytoreductive nephrectomy. FPTV expected to be removed is a simple and available method to counsel patients regarding the benefits of surgical intervention. No significant financial relationships to disclose.

scholarly journals Mutation Profile Variability in the Primary Tumor and Multiple Pulmonary Metastases of Clear Cell Renal Cell Carcinoma. A Review of the Literature and Analysis of Four Metastatic Cases

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 5906
Author(s):  
Kristyna Prochazkova ◽  
Nikola Ptakova ◽  
Reza Alaghehbandan ◽  
Sean R. Williamson ◽  
Tomáš Vaněček ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Primary Tumor ◽  
Renal Cell ◽  
Clear Cell ◽  
Pulmonary Metastases ◽  
Published Data ◽  
Cell Renal Cell Carcinoma ◽  
Primary Tumors ◽  
Mutation Profile

(1) Background: There are limited data concerning inter-tumoral and inter-metastatic heterogeneity in clear cell renal cell carcinoma (CCRCC). The aim of our study was to review published data and to examine mutation profile variability in primary and multiple pulmonary metastases (PMs) in our cohort of four patients with metastatic CCRCC. (2) Methods: Four patients were enrolled in this study. The clinical characteristics, types of surgeries, histopathologic results, immunohistochemical and genetic evaluations of corresponding primary tumor and PMs, and follow-up data were recorded. (3) Results: In our series, the most commonly mutated genes were those in the canonically dysregulated VHL pathway, which were detected in both primary tumors and corresponding metastasis. There were genetic profile differences between primary and metastatic tumors, as well as among particular metastases in one patient. (4) Conclusions: CCRCC shows heterogeneity between the primary tumor and its metastasis. Such mutational changes may be responsible for suboptimal treatment outcomes in targeted therapy settings.

scholarly journals Identification of miR-20a-5p as Robust Normalizer for Urine microRNA Studies in Renal Cell Carcinoma and A Profile of Dysregulated microRNAs

2021 ◽  
Vol 22 (15) ◽  
pp. 7913
Author(s):  
Julia Oto ◽  
Raquel Herranz ◽  
Emma Plana ◽  
José Vicente Sánchez-González ◽  
Javier Pérez-Ardavín ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Diagnostic Value ◽  
Diagnostic Model ◽  
Low Grade ◽  
Non Invasive ◽  
Good Expression ◽  
Independent Cohort

Renal cell carcinoma (RCC) is the third most frequent urinary malignancy and one of the most lethal. Current diagnostic and follow-up techniques are harmful and unspecific in low-grade tumors. Novel minimally invasive markers such as urine microRNAs (miRNAs) are under study. However, discrepancies arise among studies in part due to lack of consent regarding normalization. We aimed to identify the best miRNA normalizer for RCC studies performed in urine samples together with a miRNA profile with diagnostic value and another for follow-up. We evaluated the performance of 120 candidate miRNAs in the urine of 16 RCC patients and 16 healthy controls by RT-qPCR followed by a stability analysis with RefFinder. In this screening stage, miR-20a-5p arose as the most stably expressed miRNA in RCC and controls, with a good expression level. Its stability was validated in an independent cohort of 51 RCC patients and 32 controls. Using miR-20a-5p as normalizer, we adjusted and validated a diagnostic model for RCC with three miRNAs (miR-200a-3p, miR-34a-5p and miR-365a-3p) (AUC = 0.65; Confidence Interval 95% [0.51, 0.79], p = 0.043). let-7d-5p and miR-205-5p were also upregulated in patients compared to controls. Comparing RCC samples before surgery and fourteen weeks after, we identified let-7d-5p, miR-152-3p, miR-30c-5p, miR-362-3p and miR-30e-3p as potential follow-up profile for RCC. We identified validated targets of most miRNAs in the renal cell carcinoma pathway. This is the first study that identifies a robust normalizer for urine RCC miRNA studies, miR-20a-5p, which may allow the comparison of future studies among laboratories. Once confirmed in a larger independent cohort, the miRNAs profiles identified may improve the non-invasive diagnosis and follow-up of RCC.

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