Comparison of Clinical and Pathological Differences of Breast Cancer Patients under 35 and above 55 Years of Age

Emiroğlu, Mustafa; Karaalı, Cem; Sert, İsmail; Salimoğlu, Semra; Uğurlu, Levent; Aksoy, Süleyman Özkan; Aydın, Cengiz

doi:10.5152/tjbh.2015.2539

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…Although tumors are less common in young women, they do tend to have the aggressive types when they develop it. In previous studies, age is recognized as an important prognostic indicator for breast cancer (32,33), which indicates that young patients with breast cancer generally have a poorer prognosis by comparison with elderly patients at the same clinical stage (34,35). In our study, KLK11 expression in tumor tissues of patients over 50 years old tended to be down-regulated.…”

Section: Discussionsupporting

confidence: 57%

Kallikrein 11 Down-regulation in Breast Carcinoma: Correlation With Prognostic Parameters

Öztürk

Kain

Tuzuner

et al. 2021

In Vivo

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Background: Expression of kallikrein-11 (KLK11) has been found to be related to the prognosis of various human cancer types but its physiological functions in the steps of breast cancer (BC) progression are still unknown. Materials and Methods: BC and adjacent normal breast tissue samples were collected from 28 patients. KLK11 expression levels were determined by real-time polymerase chain reaction for each sample and associations with known prognostic features were statistically analyzed. Results: Although there was slight up-regulation in tumor tissues overall, significant down-regulation of KLK11 expression in tumor tissue was observed in the elderly and in patients with perineural invasion. Furthermore, tumor size, grade, mitotic score, necrosis, calcification, lymphatic invasion, hormone receptor status and Ki67 expression were associated with altered KLK11 level. Conclusion: Changes in expression levels of KLK11, associated with patient characteristics, might be used as complementary data in order to predict clinical outcome and prognosis in BC.

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Section: Discussionsupporting

confidence: 57%

Kallikrein 11 Down-regulation in Breast Carcinoma: Correlation With Prognostic Parameters

Öztürk

Kain

Tuzuner

et al. 2021

In Vivo

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“…Additionally, elderly cancer patients typically have a poor prognosis. Most young adult cancer patients have a better prognosis and survival rates than older cancer patients, although some young individuals with cholangiocarcinoma, breast cancer, and cervical cancer, among other tumour types, have a poor prognosis 6 – 8 . Although most tumour types are more common in the elderly, leukaemia, retinoblastoma, and nephroblastoma are more frequent in children 9 .…”

Section: Introductionmentioning

confidence: 99%

Transcriptomics analysis for the identification of potential age-related genes and cells associated with three major urogenital cancers

Cao

Yang

et al. 2021

Sci Rep

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Age is one of the most important risk factors of the occurrence for tumor patients. The majority of patients with urogenital cancers are the elderly, whose clinical characteristics are greatly affected by age and ageing. Our study aimed to explore age-related genes, cells, and biological changes in three common urogenital cancers via integrative bioinformatics analysis. First, mRNA (count format) and clinical data for bladder cancer, prostate cancer and renal cell carcinoma were downloaded from the Cancer Genome Atlas (TCGA). Through the comparison of clinicopathological characteristics, genes expression and cells infiltration between the old group and the young group, it was found that the clinical characteristics, genes and cells in the tumor microenvironment of different ages were quite different. And 4 key cells, 14 hub genes and some potential pathways were identified and considered as important factors. More importantly, we analyzed the differential landscape of the genes and cells from different perspectives, and confirmed its importance. In conclusion, we identified genes and cell types associated with age-related changes in the tumour microenvironment in urogenital cancer patients. These genes and cell types may play a critical role in the age-associated differences in clinicopathological characteristics among urogenital cancers, thus providing a link between ageing and cancer occurrence. The findings of this study may pave the way for the development of age-tailored approaches to treat cancer and other age-related diseases.

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“…But not all is so. Compared with the elderly, most young adults with cancers have a better prognosis and a longer survival period, but some younger patients with tumors have a poor prognosis, such as cholangiocarcinoma, breast cancer and cervical cancer [6][7][8]. Most of the tumors occurred in the elderly, but leukemia, retinoblastoma, nephroblastoma, and so on, the onset of the peaks are in the juvenile period [9].…”

Section: Introductionmentioning

confidence: 99%

Integrating Transcriptomics for the Identification of Potential Age-related Genes and Cells in Three Major Urogenital Cancers Across the Cancer Genome Atlas

Cao

Yang

et al. 2020

Preprint

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Background: Cancer is often defined as a disease of aging. The majority of patients with urogenital cancers are the elderly, whose clinical characteristics are greatly affected by age and aging. Here, we aimed to explore age-related biological changes in three major urogenital cancers by integrative bioinformatics analysis.Methods: First, mRNA (count format) and clinical data for bladder cancer, prostate cancer and renal cell carcinoma were downloaded from the Cancer Genome Atlas (TCGA) portal. The expressions of 64 cells were obtained by xCell deconvolution method. EdgeR package and limma package were used to analyze differentially expressed genes and cells in the young group and the old group, respectively. ClusterProfiler R package and clueGO plugin were used for enrichment analysis, and cytohubba plugin was used for hub genes analysis. Then co-expression analysis and chromosome distribution for hub genes were analyzed and demonstrated by RIdeogram R package. The clinical correlation of hub genes and key cells was analyzed by Graphpad Prism software. Finally, the correlation between hub genes and key cells was explored by corrplot R package.Results: We screened and identified 14 hub genes and 4 key cells related to age and urogenital cancers. The age-related differentially expressed genes and co-expressed genes were mainly enriched in muscle movement (Cl-, Ca2+), inflammatory response, antibacterial humoral immune response, substance metabolism and transport, redox reaction, etc. Most of the age-related genes are on chromosome 17. Moreover, the correlation between cells and genes was analyzed. Conclusion: Our study analyzed age-related genes and cells in the tumor microenvironment of urogenital cancers, and explored the pathways involved. This could contribute to personalized therapy for patients of different ages and a new understanding of the potential relationship between the aging microenvironment and urogenital cancers.

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Comparison of Clinical and Pathological Differences of Breast Cancer Patients under 35 and above 55 Years of Age

Cited by 6 publications

References 26 publications

Kallikrein 11 Down-regulation in Breast Carcinoma: Correlation With Prognostic Parameters

Kallikrein 11 Down-regulation in Breast Carcinoma: Correlation With Prognostic Parameters

Transcriptomics analysis for the identification of potential age-related genes and cells associated with three major urogenital cancers

Integrating Transcriptomics for the Identification of Potential Age-related Genes and Cells in Three Major Urogenital Cancers Across the Cancer Genome Atlas

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