scholarly journals 53 years old is a reasonable cut-off value to define young and old patients in clear cell renal cell carcinoma: a study based on TCGA and SEER database

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fucai Tang ◽  
Zechao Lu ◽  
Chengwu He ◽  
Hanbin Zhang ◽  
Weijia Wu ◽  
...  

Abstract Background The objectives of this study were to screen out cut-off age value and age-related differentially expressed genes (DEGs) in clear cell renal cell carcinoma (CCRCC) from Surveillance Epidemiology and End Results (SEER) database and The Cancer Genome Atlas (TCGA) database. Methods We selected 45,974 CCRCC patients from SEER and 530 RNA-seq data from TCGA database. The age cut-off value was defined using the X-tile program. Propensity score matching (PSM) was used to balance the differences between young and old groups. Hazard ratio (HR) was applied to evaluate prognostic risk of age in different subgroups. Age-related DEGs were identified via RNA-seq data. Survival analysis was used to assess the relationship between DEGs and prognosis. Results In this study, we divided the patients into young (n = 14,276) and old (n = 31,698) subgroups according to cut-off value (age = 53). Age > 53 years was indicated as independent risk factor for overall survival (OS) and cancer specific survival (CSS) of CCRCC before and after PSM. The prognosis of old group was worse than that in young group. Eleven gene were differential expression between the younger and older groups in CCRCC. The expression levels of PLA2G2A and SIX2 were related to prognosis of the elderly. Conclusion Fifty-three years old was cut-off value in CCRCC. The prognosis of the elderly was worse than young people. It remind clinicians that more attention and better treatment should be given to CCRCC patients who are over 53 years old. PLA2G2A and SIX2 were age-related differential genes which might play an important role in the poor prognosis of elderly CCRCC patients.

2020 ◽  
Author(s):  
Fucai Tang ◽  
Zechao Lu ◽  
Chengwu He ◽  
Hanbin Zhang ◽  
Weijia Wu ◽  
...  

Abstract Background: The objectives of this study were to screen out cut-off age value and age-related differentially expressed genes (DEGs) in clear cell renal cell carcinoma (CCRCC) from Surveillance Epidemiology and End Results (SEER) database and The Cancer Genome Atlas (TCGA) database. Methods: We selected 45,974 CCRCC patients from SEER and 530 RNA-seq data from TCGA database. The age cut-off value was defined using the X-tile program. Propensity score matching (PSM) was used to balance the differences between young and old groups. Hazard ratio (HR) was applied to evaluate prognostic risk of age in different subgroups. Age-related DEGs were identified via RNA-seq data. Survival analysis was used to assess the relationship between DEGs and prognosis.Results: In this study, we divided the patients into young (n=14276) and old (n=31698) subgroups according to cut-off value (age=53). Age >53 years was indicated as independent risk factor for overall survival (OS) and cancer specific survival (CSS) of CCRCC before and after PSM. The prognosis of old group was worse than that in young group. Eleven gene were differential expression between the younger and older groups in CCRCC. The expression levels of PLA2G2A and SIX2 were related to prognosis of the elderly. Conclusion: 53 years old was cut-off value in CCRCC. The prognosis of the elderly was worse than young people. It remind clinicians that more attention and better treatment should be given to CCRCC patients who are over 53 years old. PLA2G2A and SIX2 were age-related differential genes which might play an important role in the poor prognosis of elderly CCRCC patients.


2019 ◽  
Author(s):  
Fucai Tang ◽  
Zechao Lu ◽  
Chengwu He ◽  
Hanbin Zhang ◽  
Weijia Wu ◽  
...  

Abstract Background The objectives of this study were to screen out cut-off age value and age-related differentially expressed genes (DEGs) in clear cell renal cell carcinoma (CCRCC) from Surveillance Epidemiology and End Results (SEER) database and The Cancer Genome Atlas (TCGA) database. Methods We selected 45,974 CCRCC patients from SEER and 530 RNA-seq data from TCGA database. The age cut-off value was defined using the X-tile program. Propensity score matching (PSM) was used to balance the differences between young and old groups. Hazard ratio (HR) was applied to evaluate prognostic risk of age in different subgroups. Age-related DEGs were identified via RNA-seq data. Survival analysis was used to assess the relationship between DEGs and prognosis. Results In this study, we divided the patients into young (n=14276) and old (n=31698) subgroups according to cut-off value (age=53). Age >53 years was indicated as independent risk factor for overall survival (OS) and cancer specific survival (CSS) of CCRCC before and after PSM. The prognosis of old group was worse than that in young group. 176 age-related DEGs were obtained by 530 CCRCC RNA-seq analysis result. The expression levels of KCNE5, CLDN6 and CACNG6 were related to prognosis of the elderly. Conclusion 53 years old was cut-off value in CCRCC. The prognosis of the elderly was worse than young people. KCNE5, CLDN6 and CACNG6 were age-related differential genes which might play an important role in the poor prognosis of elderly CCRCC patients.


Author(s):  
Maria Sorokina ◽  
Danil Stupichev ◽  
Yang Lyu ◽  
Akshaya Ramachandran ◽  
Natalia Miheecheva ◽  
...  

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 732-732
Author(s):  
Sigrid Nakken ◽  
Øystein Eikrem ◽  
Hans-Peter Marti ◽  
Christian Beisland ◽  
Leif Bostad ◽  
...  

732 Background: Historically, 30 % of patients with localized kidney cancer develop distant metastases during follow-up. There is an urgent need to improve the individual risk assessment for clear cell renal cell carcinoma (ccRCC) patients. We therefore aim to characterize the gene expression profile of low-risk patients both with and without progressive disease to define predictive outcome candidate markers. Methods: Formalin-fixed tissue blocks from ccRCC patients (n=24, eight progressors and 16 non-progressors) with a low Leibovich score were collected. Patients had a mean age of 65 years (5 females and 19 males). The non-progressors were matched 2:1 to the progressors for gender, age, pT tumor stage, size, Fuhrman grade, and eGFR. Total RNA was extracted(miRNeasy FFPE Kit, Qiagen) and sequenced (TruSeq RNA Access Library Kit, Illumina). RNA-seq results were analyzed by ingenuity pathway analysis, K Nearest Neighbors algorithm, and survival analysis. Results: 1167 differentially expressed genes (abs.FC≥2, p≤0.05) were detected. Progressors overexpressed genes related to cancer, B-cell infiltration and other immune-system related pathways. Principal component analyses and hierarchical clustering depicted a systematic transcriptomic difference between progressors and non-progressors. Combinations of up to 10 genes were evaluated as classifiers. The AGAP2-AS1 mRNA classified 23 out of 24 samples correctly, without the need for a larger gene panel. The trend of expression was confirmed with RT-PCR.The correlation between sample status as either progressor or non-progressor and AGAP2-AS1 level was R2 =0.69, p <0.01. Patients were split into groups based on AGAP2-AS1 expression (cut-off log2cpm>1), where higher expression correlated with shorter survival; Wilcoxon (p<0.0001),Log-rank test (p<0.0001), Hazard ratio; 9.24E-11. Immunohistochemistry of AGAP2, USP10 and KI-67 confirmed results from the mRNA level. Conclusions: RNA-seq results show a transcriptomic difference between low-risk ccRCC progressors and low-risk non-progressors. AGAP2-AS1 may serve as a potential classifier for the identification of low-risk progressors.


2007 ◽  
Vol 177 (4S) ◽  
pp. 214-214
Author(s):  
Sung Kyu Hong ◽  
Byung Kyu Han ◽  
In Ho Chang ◽  
June Hyun Han ◽  
Ji Hyung Yu ◽  
...  

2019 ◽  
Vol 22 (6) ◽  
pp. 13-22
Author(s):  
E. V. Kryaneva ◽  
N. A. Rubtsova ◽  
A. V. Levshakova ◽  
A. I. Khalimon ◽  
A. V. Leontyev ◽  
...  

This article presents a clinical case demonsratinga high metastatic potential of clear cell renal cell carcinoma combined with atypical metastases to breast and paranasal sinuses. The prevalence of metastatic lesions to the breast and paranasal sinuses in various malignant tumors depending on their morphological forms is analyzed. The authors present an analysis of data published for the last 30 years. The optimal diagnostic algorithms to detect the progression of renal cell carcinoma and to evaluate the effectiveness of the treatment are considered.


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