Dataset Information

Downstream neighbor of SON (DONSON) is associated with unfavorable survival across diverse cancers with oncogenic properties in clear cell renal cell carcinoma.

ABSTRACT: A precise stratification of our patients is essential and can support clinicians to determine the right therapy. The aim of this study was to identify clinically relevant genes using The Cancer Genome Atlas (TCGA) datasets. A comprehensive pan-cancer analysis of 30 distinct tumor entities (N?=?9022) identified the largely unknown gene Downstream neighbor of SON (DONSON) to be particularly associated with unfavorable overall survival in clear cell renal cell carcinoma (KIRC). This prognostic potential of DONSON was validated in an independent KIRC cohort via quantitative real-time PCR (n?=?152). Further, DONSON protein expression was evaluated via immunohistochemical staining followed by quantitative image analysis using the image analysis software QuPath on a renal cancer tissue microarray (n?=?270). Interestingly, DONSON overexpression was preferentially associated with poor survival in 9 of the 30 entities, suggesting tumor-independent oncogenic properties of this largely unknown gene. A particularly strong association of DONSON to an aggressive phenotype was evident in KIRC and proved to be a strong independent predictor of unfavorable overall survival in two additional cohorts on the mRNA and protein level. In our KIRC cell culture model, we observed a substantial attenuation of proliferative activity and migration capacity of the KIRC cells Caki1 and 769p. In conclusion, we identified DONSON as a robust biomarker for risk stratification in KIRC in three independent cohorts and provide evidence that DONSON is linked to a malignant phenotype in the KIRC cell culture model.

SUBMITTER: Klumper N

PROVIDER: S-EPMC7451602 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Downstream neighbor of SON (DONSON) is associated with unfavorable survival across diverse cancers with oncogenic properties in clear cell renal cell carcinoma.

Klümper Niklas N Blajan Iulia I Schmidt Doris D Kristiansen Glen G Toma Marieta M Hölzel Michael M Ritter Manuel M Ellinger Jörg J

Translational oncology 20200814 11

A precise stratification of our patients is essential and can support clinicians to determine the right therapy. The aim of this study was to identify clinically relevant genes using The Cancer Genome Atlas (TCGA) datasets. A comprehensive pan-cancer analysis of 30 distinct tumor entities (N = 9022) identified the largely unknown gene Downstream neighbor of SON (DONSON) to be particularly associated with unfavorable overall survival in clear cell renal cell carcinoma (KIRC). This prognostic pote ...[more]

PMID: 32805676

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Project description:BackgroundKidney renal clear cell carcinoma (KIRC) is the most common pathological subtype of renal cell cancer. APOBEC3 activity has been identified in a variety of human cancers. Although its involvement in cancer has been studied widely, its influence on the tumor immune microenvironment remains poorly understood. Therefore, this study aimed to focus on the effect of APOBEC3 on tumor immune microenvironment of KIRC.MethodsIn this study, we comprehensively analyzed the expression and prognostic significance of the APOBEC3 family in pan-cancer using multiple databases. The functions of key APOBEC3 family members were further investigated in KIRC, with APOBEC3G determined to be a candidate biomarker for unfavorable prognosis. We subsequently explored the correlation of APOBEC3G with the tumor immune environment in KIRC by analyzing the Cancer Genome Atlas (TCGA) dataset, then validated the prognostic significance and PD-L1 correlation of APOBEC3G by using tissue microarrays which included 233 primary tumor samples from patients with renal clear cell carcinoma.ResultsThe APOBEC3 family was overexpressed in KIRC and high APOBEC3 expression predicted poor prognosis. In addition, APOBEC3G was positively correlated with the expression of immunoinhibitors such as TIGIT, LAG3, CD96, PD-1, and CTLA4. In addition, APOBEC3G had a positive correlation with immunosuppressive cells, including regulatory T cell and myeloid-derived suppressor cell. Finally, based on 233 clinical samples, we validated that high expression of APOBEC3G contributed to a poor prognosis for KIRC patients and the positive relationship between APOBEC3G and PD-L1 expression. High APOBEC3G expression was also found to be more common in patients with sarcomatoid histology (P = 0.0026).ConclusionsOur study showed that APOBEC3G was a prognostic biomarker correlated with the immune response in KIRC. In addition, APOBE3G had a positive correlation with PD-L1 expression and sarcomatoid histology, perhaps suggesting the potential impact of APOBEC3G on immunotherapy.

Project description:Clear cell renal carcinoma (ccRC) comprises a set of heterogeneous, fast-progressing pathologies with poor prognosis. Analyzing ccRC progression in terms of modifications at the molecular level may provide us with a broader understanding of the disease, paving the way for improved diagnostics and therapeutics. The role of micro-RNAs (miRs) in cancer by targeting both oncogenes and tumor suppressor genes is widely known. Despite this knowledge, the role of specific miRs and their targets in the progression of ccRC is still unknown. To evaluate the action of miRs and their target genes during ccRC progression, here we implemented a three-step method for constructing miR-gene co-expression networks for each progression stage of ccRC as well as for adjacent-normal renal tissue (NT). In the first step, we inferred all miR-gene co-expression interactions for each progression stage of ccRC and for NT. Afterwards, we filtered the whole miR-gene networks by differential gene and miR expression between successive stages: stage I with non-tumor, stage II with stage I, and so on. Finally, all miR-gene interactions whose relationships were inversely proportional (overexpressed miR and underexpressed genes and vice versa) were kept and removed otherwise. We found that miR-217 is differentially expressed in all contrasts; however, its targets were different depending on the ccRC stage. Furthermore, the target genes of miR-217 have a known role in cancer progression-for instance, in stage II network, GALNTL6 is overexpressed, and it is related to cell signaling, survival, and proliferation. In the stage III network, WNK2, a widely known tumor suppressor, is underexpressed. For the stage IV network, IGF2BP2, a post-transcriptional regulator of MYC and PTEN, is overexpressed. This data-driven network approach has allowed us to discover miRs that have different targets through ccRC progression, thus providing a method for searching possible stage-dependent therapeutic targets in this and other types of cancer.

Dataset Information

Downstream neighbor of SON (DONSON) is associated with unfavorable survival across diverse cancers with oncogenic properties in clear cell renal cell carcinoma.

Publications

Downstream neighbor of SON (DONSON) is associated with unfavorable survival across diverse cancers with oncogenic properties in clear cell renal cell carcinoma.

Similar Datasets

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