Identification of fluorescence in situ hybridization assay markers for prediction of disease progression in prostate cancer patients on active surveillance

Pestova, Ekaterina; Koch, Adam J.; Quesenberry, Charles P.; Shan, Jun; Zhang, Ying; Leimpeter, Amethyst; Blondin, Beth; Sitailo, Svetlana; Buckingham, Lela; Du, Jing; Fei, Huixin; Eeden, Stephen K. Van Den

doi:10.1186/s12885-017-3910-4

Cited by 7 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We performed using I‐FISH an independent validation of the prognostic significance of four previously defined genetic aberrations, which we found by using array based comparative genomic hybridization . FISH analysis is a fast and robust method widely used in molecular pathology . Performing FISH on FFPE samples has the added advantage of granting insight into the cellular context of tissues used and assures the selective analysis of tumor cells.…”

Section: Discussionmentioning

confidence: 99%

Metastatic risk stratification of clear cell renal cell carcinoma patients based on genomic aberrations

Grimm

Zeuschner

Janssen

et al. 2019

Genes Chromosomes & Cancer

View full text Add to dashboard Cite

Prognostic markers for the definition of the individual metastatic risk in renal cell carcinoma are still missing. The aim of our study was to establish a total number of specific aberrations (TNSA) genetic score as a new prognostic test for metastatic risk evaluation. Fluorescence in situ hybridization (FISH) was performed on isolated cell nuclei of 100 ccRCCs (50 M1/50 M0) and 100 FFPE sections (second cohort, 32 M1/68 M0). For each chromosomal region (1q21.3, 7q36.3, 9p21.3p24.1, 20q11.21q13.32) cut-off values were determined by receiver-operator curve (ROC)-curve analysis. TNSA was calculated based on the dichotomized specific CNVs.The prognostic significance of CNVs was proven by Cox and logistic regression. TNSA was the best predictor of metastasis and recurrence free survival in both cohorts. We derived an algorithm for risk stratification by combining TNSA and T-category, which increased the prognostic accuracy to 87% (specificity = 86%, sensitivity = 88%). This model divides patients into two risk groups with significantly different RFS, CSS, and OS (P = 3.8×10 −5 , P = 5×10 −6 and P = 3.57×10 −8 respectively). The genetic risk model was superior to Leibovich score and was able to identify patients with metachronous metastatic spread which were incorrectly classified as "low" or "intermediate risk." We present a new tool for individual risk stratification by combining genetic alterations with clinico-pathologic parameters. Interphase FISH proves to be a dependable method for prognostic evaluation in primary tumor tissue on isolated cell nuclei as well as on FFPE sections. Especially in organ-confined tumors the genetic score seems to be an important tool to identify patients at high risk for metastatic disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Metastatic risk stratification of clear cell renal cell carcinoma patients based on genomic aberrations

Grimm

Zeuschner

Janssen

et al. 2019

Genes Chromosomes & Cancer

View full text Add to dashboard Cite

show abstract

“…To determine the correlation of subsequent primary malignancy with clinicopathological factors and myoferlin expression, Pearson's chi-square test was used. To evaluate the strength of the association between myoferlin expression and the development of subsequent primary malignancies, a logistic regression analysis was performed (15). A p-value of equal or less than 0.05 was considered statistically significant.…”

Section: Methodsmentioning

confidence: 99%

Identification of Myoferlin Expression for Prediction of Subsequent Primary Malignancy in Patients With Clear Cell Renal Cell Carcinoma

Koh

et al. 2019

In Vivo

View full text Add to dashboard Cite

Background/Aim: Multiple primary malignant tumors are common in patients with renal cell carcinoma. However, reports on the factors that can identify patients with a risk for subsequent primary malignancies have been lacking. This study aimed to investigate whether myoferlin expression can be used as a potential marker to predict subsequent primary malignancies in patients with clear cell renal cell carcinoma (ccRCC). Materials and Methods: We evaluated the relationship of subsequent primary malignancies with clinicopathological factors and myoferlin expression in 152 patients with ccRCC, and we analyzed the strength of the association with myoferlin expression. Results: The development of subsequent primary malignancies exhibited significant correlation with patient age (p=0.029), sex (p=0.015), T stage (p<0.001), and myoferlin expression (p=0.017). Furthermore, myoferlin hyperexpression was determined as an independent risk factor for developing a subsequent primary malignant tumor in patients with ccRCC (odds ratio(OR), 2.485, 95% Confidence Interval(CI)=1.052-5.870, p=0.038). Conclusion: Myoferlin hyperexpression can be a useful marker for predicting the development of subsequent primary malignancies in patients with ccRCC. Multiple primary malignant tumors are generally defined as two or more discrete cancers that are not the result of metastasis or recurrence, but are independent of each other (1, 2). According to the International Association of Cancer Registries and International Agency for Research on Cancer (IACR/IARC), one site is regarded as multiple primary malignancies (IARC 2004), not a single tumor of different parts of one site, and a 6-month period is recommended to distinguish between synchronous and metachronous multiple primaries (3). Previous reports have shown that multiple primary malignant tumors are more common in patients with urogenital cancer, and a much higher prevalence of multiple tumors is associated with renal cell carcinoma (RCC) (4, 5). Moreover, Beisland et al. (2) have suggested that patients with RCC should be followed-up with examinations that are more general, due to their increased risk of developing other subsequent primary malignancies. However, little is known regarding the factors that can identify patients with a risk for subsequent primary malignancies. Myoferlin is a member of the ferlin family, and it has been associated with cell membrane repair (6). Myoferlin is expressed in muscle cells and is involved in musculopathy (7). During the embryonic development of muscle or the regeneration of mature muscle cells following damage, myoblasts come together and form large syncytial myofibers (8). Myoferlin is highly expressed during myoblast fusion (8), however, the physiological functions of myoferlin remain to be determined (6). Myoferlin hyper-expression has been studied in many cancers, such as gastrointestinal and hepatobiliary cancers, as well as in cancers of the female reproductive organs (9). Moreover, several reports have shown that myoferlin hyperexpression c...

show abstract

“…Therefore, the diagnosis of neurodegenerative diseases such as PD, especially early diagnosis, has been a difficult problem in clinical medicine. The study of etiology and biomarkers of the disease has very important social and medical value ( Kim, 2017 , Pestova et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of biomarkers for early diagnosis of Parkinson's disease by multi-omics joint analysis

2020

Saudi Journal of Biological Sciences

View full text Add to dashboard Cite

Objective The purpose of this study is to identify the biomarkers for early diagnosis of Parkinson's disease (PD) by multi-omics joint analysis, so as to identify the biomarkers for early diagnosis of PD, and to help clinicians make early diagnosis and treatment. Methods In this study, mice are taken as the study subjects. The model of PD mice is established, and then lymphocyte, striatum, substantia nigra protein and proteolysis are extracted. After that, the experiments of protein imprinting and 4 18 O labeling are carried out. Mass Spectrometry (MS) analysis technology is mainly used to study proteomics and to analyze the quantitative and qualitative situation of differential proteins in striatum, substantia nigra protein and lymphocyte. By this method, biomarkers for early diagnosis of PD are analyzed and identified. Results The biomarkers of Parkinson's early onset are related to the same quantitative differential expression of lymphocyte, striatum, substantia nigra protein, lymphocyte and substantia nigra. Conclusion This experimental method can analyze and identify the biomarkers of early diagnosis of PD, help to explore the pathophysiology and pathogenesis of PD, effectively help clinicians make timely diagnosis in advance, and improve the prevention and treatment effect of the disease.

show abstract

Identification of fluorescence in situ hybridization assay markers for prediction of disease progression in prostate cancer patients on active surveillance

Cited by 7 publications

References 39 publications

Metastatic risk stratification of clear cell renal cell carcinoma patients based on genomic aberrations

Metastatic risk stratification of clear cell renal cell carcinoma patients based on genomic aberrations

Identification of Myoferlin Expression for Prediction of Subsequent Primary Malignancy in Patients With Clear Cell Renal Cell Carcinoma

Identification of biomarkers for early diagnosis of Parkinson's disease by multi-omics joint analysis

Contact Info

Product

Resources

About