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  1. Article: Decreased Expression of GLYATL1 Predicts Poor Prognosis in Patients with Clear Cell Renal Cell Carcinoma.

    Deng, Limin / Jiang, Huiming

    International journal of general medicine

    2023  Volume 16, Page(s) 3757–3768

    Abstract: Background: GLYATL1 is a member of the glycine-N-acyltransferase family, which catalyses acyl group transfer. The role of GLYATL1 in cancer is largely unknown; therefore, the potential value of GLYATL1 in clear cell renal cell carcinoma (ccRCC) was ... ...

    Abstract Background: GLYATL1 is a member of the glycine-N-acyltransferase family, which catalyses acyl group transfer. The role of GLYATL1 in cancer is largely unknown; therefore, the potential value of GLYATL1 in clear cell renal cell carcinoma (ccRCC) was explored.
    Methods: The ccRCC gene expression profiles and clinical data were obtained from the University of California Santa Cruz Xena platform. Differential expression and survival analysis were performed using R software. Samples from the TIMER public database and real-world were used for validation. The potential molecular mechanism of GLYATL1 in ccRCC was explored using gene set enrichment analysis (GSEA).
    Results: GLYATL1 was downregulated, indicating a poor prognosis in ccRCC. Low expression of GLYATL1 was significantly associated with advanced stage and higher histological grade ccRCC. The differential expression of GLYATL1 was validated at the protein level using clinical samples and tissue microarray. The results of GSEA showed that multiple crucial signalling pathways including fatty acid metabolism, adipogenesis, oxidative phosphorylation and epithelial-mesenchymal transition were enriched.
    Conclusion: This study demonstrated that GLYATL1 downregulation has an unfavourable impact on the survival of patients with ccRCC. The resulting data indicated that GLYATL1 could be a potential new target for ccRCC therapy, which may be helpful for the personalized treatment of such individuals.
    Language English
    Publishing date 2023-08-25
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2452220-X
    ISSN 1178-7074
    ISSN 1178-7074
    DOI 10.2147/IJGM.S419301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Construction and validation of cuproptosis-related lncRNA prediction signature for bladder cancer and immune infiltration analysis.

    Li, Hanrong / Jiang, Huiming / Huang, Zhicheng / Chen, Zhilin / Chen, Nanhui

    Aging

    2023  Volume 15, Issue 16, Page(s) 8325–8344

    Abstract: Bladder cancer (BC) is a common urologic tumor with a high recurrence rate. Cuproptosis and long noncoding RNAs (lncRNAs) have demonstrated essential roles in the tumorigenesis of many malignancies. Nevertheless, the prognostic value of cuproptosis- ... ...

    Abstract Bladder cancer (BC) is a common urologic tumor with a high recurrence rate. Cuproptosis and long noncoding RNAs (lncRNAs) have demonstrated essential roles in the tumorigenesis of many malignancies. Nevertheless, the prognostic value of cuproptosis-related lncRNA (CRLs) in BC is still unclear. The public data used for this study were acquired from the Cancer Genome Atlas database. A comprehensive exploration of the expression profile, mutation, co-expression, and enrichment analyses of cuproptosis-related genes was performed. A total of 466 CRLs were identified using Pearson's correlation analysis. 16 prognostic CRLs were then retained by univariate Cox regression. Unsupervised clustering divided the patients into two clusters with diverse survival outcomes. The signature consists of 7 CRLs was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Survival curves and receiver operating characteristics showed the prognostic signature possessed good predictive value, which was validated in the testing and entire sets. The reliability and stability of our signature were further confirmed by stratified analysis. Additionally, the signature-based risk score was confirmed as an independent prognostic factor. Gene set enrichment analysis showed molecular alteration in the high-risk group was closely associated with cancer. We then developed the clinical nomogram using independent prognostic indicators. Notably, the infiltration of immune cells and expression of immune checkpoints were higher in the high-risk group, suggesting that they may benefit more from immunotherapy. In summary, the prognostic signature might effectively predict the prognosis and provide new insight into the clinical treatment of BC patients.
    MeSH term(s) Humans ; Carcinogenesis ; Cell Transformation, Neoplastic ; Reproducibility of Results ; RNA, Long Noncoding ; Urinary Bladder Neoplasms ; Copper ; Apoptosis
    Chemical Substances RNA, Long Noncoding ; Copper (789U1901C5)
    Language English
    Publishing date 2023-08-23
    Publishing country United States
    Document type Journal Article
    ISSN 1945-4589
    ISSN (online) 1945-4589
    DOI 10.18632/aging.204972
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Decreased expression of HADH is related to poor prognosis and immune infiltration in kidney renal clear cell carcinoma

    Jiang, Huiming / Chen, Haibin / Wan, Pei / Chen, Nanhui

    Genomics. 2021 Nov., v. 113, no. 6

    2021  

    Abstract: Kidney renal clear cell carcinoma (KIRC) is the subtype pf kidney cancer having the highest mortality as well as the highest potential of invasion and metastasis. The expression of HADH, encoding a key enzyme in fatty acid β-oxidation, has rarely been ... ...

    Abstract Kidney renal clear cell carcinoma (KIRC) is the subtype pf kidney cancer having the highest mortality as well as the highest potential of invasion and metastasis. The expression of HADH, encoding a key enzyme in fatty acid β-oxidation, has rarely been reported to correlate with prognosis and immune infiltration in cancers. This study aimed to explore the prognostic value of HADH in patients with KIRC. Gene expression profiles and clinical data of KIRC patients were acquired from The Cancer Genome Atlas. We compared the expression of HADH between KIRC tissues and normal tissues. Then, the relationship between HADH expression and the clinicopathological characteristics (survival, age, gender, stage, and grade) of KIRC was explored. Data from several online databases and paraffin-embedded specimens from two cohorts were used for external validation (10 cases from Meizhou People's Hospital and another 75 cases from a tissue chip, with both cohorts including KIRC samples and paired normal tissues). We also predicted the fractions of tumor-infiltrating immune cells (TIICs) in various tissues using CIBERSORT. Next, we estimated the prognostic value of differences in TIIC proportions between the high and low HADH expression groups. Finally, gene set enrichment analysis (GSEA) was performed to explore the potential mechanisms by which HADH expression influences patient survival. The expression of HADH was significantly lower in KIRC tissue than in normal tissue. Decreased expression of HADH was significantly correlated with high histologic grade, advanced stage, and poor prognosis. The differential expression of HADH was validated at the protein level by immunohistochemistry. Multivariate Cox regression analysis indicated that HADH was an independent prognostic factor for KIRC. In addition, HADH expression was significantly associated with the accumulation of several TIICs, especially regulatory T cells. Finally, GSEA revealed that the transcriptome of the low HADH expression group was significantly enriched in genes involved in not only epithelial-mesenchymal transition and inflammatory response but also TNF-α, IL-6-JAK-STAT3, and interferon-γ signaling. In conclusion, our study demonstrated that decreased expression of HADH is related to poor prognosis and immune infiltration in KIRC; this finding may provide crucial information for the development of immunotherapies.
    Keywords carcinoma ; enzymes ; fatty acids ; gender ; gene expression ; gene expression regulation ; genes ; genomics ; hospitals ; immunohistochemistry ; inflammation ; kidney neoplasms ; kidneys ; metastasis ; mortality ; patients ; people ; prognosis ; protein content ; regression analysis ; transcriptome
    Language English
    Dates of publication 2021-11
    Size p. 3556-3564.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 356334-0
    ISSN 1089-8646 ; 0888-7543
    ISSN (online) 1089-8646
    ISSN 0888-7543
    DOI 10.1016/j.ygeno.2021.08.008
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2367: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  4. Article: Downregulation of Crystallin Lambda 1 is a New Independent Prognostic Marker in Clear Cell Renal Cell Carcinoma.

    Feng, Lingsong / Ding, Guodong / Zhou, Yang / Zhu, Haiyuan / Jiang, Huiming

    Pharmacogenomics and personalized medicine

    2022  Volume 15, Page(s) 857–866

    Abstract: Background: Clear cell renal cell carcinoma (ccRCC), the most prevalent kidney cancer subtype, has a high mortality rate. Crystallin lambda 1 (CRYL1) encodes an enzyme that catalyzes the dehydrogenation of L-gulonate into dehydro-L-gulonate in uronate ... ...

    Abstract Background: Clear cell renal cell carcinoma (ccRCC), the most prevalent kidney cancer subtype, has a high mortality rate. Crystallin lambda 1 (CRYL1) encodes an enzyme that catalyzes the dehydrogenation of L-gulonate into dehydro-L-gulonate in uronate cycle. CRYL1 dysregulation has been linked to the progression of several cancers. This research aimed to evaluate the prognostic significance of CRYL1 expression in ccRCC prognosis.
    Methods: Clinical data and gene expression profiles on ccRCC were retrieved from the University of California Santa Cruz Xena platform. Differences (variations) in the expression profiles of CRYL1 in ccRCC and healthy tissues were found using RNA-sequencing data, and these findings were validated using qPCR with real-world samples. CRYL1 expression levels were also linked to clinicopathological characteristics, survival, and immune microenvironments. The potential pathway via which CRYL1 expression levels impact the prognosis of patients with ccRCC was investigated using gene set enrichment analysis (GSEA).
    Results: In ccRCC tissues, CRYL1 expression levels were lower compared to healthy renal tissues in TCGA cohort (n = 535,
    Conclusion: Our study found that lower levels of CRYL1 expression were linked to unfavorable clinicopathological characteristics and worse prognoses, and CRYL1 could serve as a new target for the treatment of ccRCC, which is useful for personalized medicine.
    Language English
    Publishing date 2022-10-10
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2508173-1
    ISSN 1178-7066
    ISSN 1178-7066
    DOI 10.2147/PGPM.S382564
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: High-fidelity noise-reconstructed empirical mode decomposition for mechanical multiple and weak fault extractions.

    Yuan, Jing / Xu, Chong / Zhao, Qian / Jiang, Huiming / Weng, Yihang

    ISA transactions

    2022  Volume 129, Issue Pt B, Page(s) 380–397

    Abstract: The premise to ensure the safe operation of rotating machinery is to accurately and timely capture all kinds of damages and fault signatures, whose challenging issues are the multiple and weak faults. Ensemble noise-reconstructed empirical mode ... ...

    Abstract The premise to ensure the safe operation of rotating machinery is to accurately and timely capture all kinds of damages and fault signatures, whose challenging issues are the multiple and weak faults. Ensemble noise-reconstructed empirical mode decomposition (ENEMD) is a smart method of adaptively decomposing and denoising for mechanical fault diagnosis. However, the original ENEMD and its derivative methods suffer from the drawbacks of critical noise estimation on the high accuracy, leading to the powerless capability for accurate multiple and weak fault signature extraction. Thus, high-fidelity noise-reconstructed empirical mode decomposition (HNEMD) is proposed to overcome the drawbacks, whose compositions include: (1) The cepstral neighboring coefficient editing is proposed to obtain the pre-whitening signal with the actual white noise, from which the major noise can be well purified by the minimax thresholding. (2) The high order singular value decomposition (HOSVD) local reconstruction is developed to estimate the minor noise from the pre-characterizing signal, where the tensor with the reasonable singular order is constructed by the sliding window and Hankel matrix. (3) The high-fidelity noise recovered by the major noise and the minor noise is reconstructed and combined with the basic ENEMD algorithm for accurate signature extraction, especially for the multiple or/and weak fault ones. Three repeatable simulations are analyzed to illustrate the signature extraction capability and noise estimation process of this method. Moreover, the effective detections of weak and multiple faults from a hot strip finishing mill gearbox and an aerospace bearing further validate the feasibility of the proposed method.
    Language English
    Publishing date 2022-02-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2022.02.017
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  6. Article ; Online: Decreased expression of HADH is related to poor prognosis and immune infiltration in kidney renal clear cell carcinoma.

    Jiang, Huiming / Chen, Haibin / Wan, Pei / Chen, Nanhui

    Genomics

    2021  Volume 113, Issue 6, Page(s) 3556–3564

    Abstract: Kidney renal clear cell carcinoma (KIRC) is the subtype pf kidney cancer having the highest mortality as well as the highest potential of invasion and metastasis. The expression of HADH, encoding a key enzyme in fatty acid β-oxidation, has rarely been ... ...

    Abstract Kidney renal clear cell carcinoma (KIRC) is the subtype pf kidney cancer having the highest mortality as well as the highest potential of invasion and metastasis. The expression of HADH, encoding a key enzyme in fatty acid β-oxidation, has rarely been reported to correlate with prognosis and immune infiltration in cancers. This study aimed to explore the prognostic value of HADH in patients with KIRC. Gene expression profiles and clinical data of KIRC patients were acquired from The Cancer Genome Atlas. We compared the expression of HADH between KIRC tissues and normal tissues. Then, the relationship between HADH expression and the clinicopathological characteristics (survival, age, gender, stage, and grade) of KIRC was explored. Data from several online databases and paraffin-embedded specimens from two cohorts were used for external validation (10 cases from Meizhou People's Hospital and another 75 cases from a tissue chip, with both cohorts including KIRC samples and paired normal tissues). We also predicted the fractions of tumor-infiltrating immune cells (TIICs) in various tissues using CIBERSORT. Next, we estimated the prognostic value of differences in TIIC proportions between the high and low HADH expression groups. Finally, gene set enrichment analysis (GSEA) was performed to explore the potential mechanisms by which HADH expression influences patient survival. The expression of HADH was significantly lower in KIRC tissue than in normal tissue. Decreased expression of HADH was significantly correlated with high histologic grade, advanced stage, and poor prognosis. The differential expression of HADH was validated at the protein level by immunohistochemistry. Multivariate Cox regression analysis indicated that HADH was an independent prognostic factor for KIRC. In addition, HADH expression was significantly associated with the accumulation of several TIICs, especially regulatory T cells. Finally, GSEA revealed that the transcriptome of the low HADH expression group was significantly enriched in genes involved in not only epithelial-mesenchymal transition and inflammatory response but also TNF-α, IL-6-JAK-STAT3, and interferon-γ signaling. In conclusion, our study demonstrated that decreased expression of HADH is related to poor prognosis and immune infiltration in KIRC; this finding may provide crucial information for the development of immunotherapies.
    MeSH term(s) Carcinoma, Renal Cell/metabolism ; Humans ; Kidney/metabolism ; Kidney Neoplasms/metabolism ; Prognosis ; Transcriptome
    Language English
    Publishing date 2021-08-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 356334-0
    ISSN 1089-8646 ; 0888-7543
    ISSN (online) 1089-8646
    ISSN 0888-7543
    DOI 10.1016/j.ygeno.2021.08.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Exploring the safety profile of tremelimumab: an analysis of the FDA adverse event reporting system.

    Zhao, Yibei / Jiang, Huiming / Xue, Lifen / Zhou, Mi / Zhao, Xiaobing / Liu, Fei / Jiang, SongJiang / Huang, Jing / Meng, Long

    International journal of clinical pharmacy

    2024  Volume 46, Issue 2, Page(s) 480–487

    Abstract: Background: Despite the approval of tremelimumab in 2022, there is a lack of pharmacovigilance studies investigating its safety profile in real-world settings using the FDA Adverse Event Reporting System (FAERS) database.: Aim: This pharmacovigilance ...

    Abstract Background: Despite the approval of tremelimumab in 2022, there is a lack of pharmacovigilance studies investigating its safety profile in real-world settings using the FDA Adverse Event Reporting System (FAERS) database.
    Aim: This pharmacovigilance study aimed to comprehensively explore the adverse events (AEs) associated with tremelimumab using data mining techniques on the FAERS database.
    Method: The study utilized data from the FAERS database, covering the period from the first quarter of 2004 to the third quarter of 2022. Disproportionality analysis, the Benjamini Hochberg adjustment method and volcano plots were used to identify and evaluate AE signals associated with tremelimumab.
    Results: The study uncovered 233 AE cases associated with tremelimumab. Among these cases, pyrexia (n = 39), biliary tract infection (n = 23), and sepsis (n = 21) were the three main AEs associated with tremelimumab use. The study also investigated the system organ classes associated with tremelimumab-related AEs. The top three classes were gastrointestinal disorders (17.9%), infections and infestations (16.6%), and general disorders and administration site infections (11.2%). Several AEs were identified that were not listed on the drug label of tremelimumab. These AEs included pyrexia, biliary tract infection, sepsis, dyspnea, infusion site infection, hiccup, appendicitis, hypotension, dehydration, localised oedema, presyncope, superficial thrombophlebitis and thrombotic microangiopathy.
    Conclusion: This pharmacovigilance study identified several potential adverse events signals related to tremelimumab including some adverse events not listed on the drug label. However, further basic and clinical research studies are needed to validate these results.
    MeSH term(s) Humans ; United States/epidemiology ; Adverse Drug Reaction Reporting Systems ; Drug-Related Side Effects and Adverse Reactions/epidemiology ; Pharmacovigilance ; Sepsis ; United States Food and Drug Administration ; Fever ; Antibodies, Monoclonal, Humanized
    Chemical Substances tremelimumab (QEN1X95CIX) ; Antibodies, Monoclonal, Humanized
    Language English
    Publishing date 2024-01-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2601204-2
    ISSN 2210-7711 ; 2210-7703 ; 0928-1231
    ISSN (online) 2210-7711
    ISSN 2210-7703 ; 0928-1231
    DOI 10.1007/s11096-023-01678-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Construction and validation of a seven-gene signature for predicting overall survival in patients with kidney renal clear cell carcinoma via an integrated bioinformatics analysis

    Jiang, Huiming / Chen, Haibin / Chen, Nanhui

    Animal cells and systems. 2020 May 3, v. 24, no. 3

    2020  

    Abstract: Kidney renal clear cell carcinoma (KIRC) remains a significant challenge worldwide because of its poor prognosis and high mortality rate, and accurate prognostic gene signatures are urgently required for individual therapy. This study aimed to construct ... ...

    Abstract Kidney renal clear cell carcinoma (KIRC) remains a significant challenge worldwide because of its poor prognosis and high mortality rate, and accurate prognostic gene signatures are urgently required for individual therapy. This study aimed to construct and validate a seven-gene signature for predicting overall survival (OS) in patients with KIRC. The mRNA expression profile and clinical data of patients with KIRC were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC). Prognosis-associated genes were identified, and a prognostic gene signature was constructed. Then, the prognostic efficiency of the gene signature was assessed. The results obtained using data from the TCGA were validated using those from the ICGC and other online databases. Gene set enrichment analyses (GSEA) were performed to explore potential molecular mechanisms. A seven-gene signature (PODXL, SLC16A12, ZIC2, ATP2B3, KRT75, C20orf141, and CHGA) was constructed, and it was found to be effective in classifying KIRC patients into high- and low-risk groups, with significantly different survival based on the TCGA and ICGC validation data set. Cox regression analysis revealed that the seven-gene signature had an independent prognostic value. Then, we established a nomogram, including the seven-gene signature, which had a significant clinical net benefit. Interestingly, the seven-gene signature had a good performance in distinguishing KIRC from normal tissues. GSEA revealed that several oncological signatures and GO terms were enriched. This study developed a novel seven-gene signature and nomogram for predicting the OS of patients with KIRC, which may be helpful for clinicians in establishing individualized treatments.
    Keywords animals ; bioinformatics ; carcinoma ; data collection ; gene expression ; genes ; kidneys ; mortality ; nomogram ; prognosis ; regression analysis ; therapeutics
    Language English
    Dates of publication 2020-0503
    Size p. 160-170.
    Publishing place Taylor & Francis
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2562988-8
    ISSN 2151-2485 ; 1976-8354
    ISSN (online) 2151-2485
    ISSN 1976-8354
    DOI 10.1080/19768354.2020.1760932
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Letter to the Editor regarding the article "A contemporary lower pole approach for complete staghorn calculi: outcomes and efficacy".

    Jiang, Huiming / Yao, Shiwu

    World journal of urology

    2018  Volume 36, Issue 12, Page(s) 2089–2090

    MeSH term(s) Humans ; Kidney Calculi ; Nephrostomy, Percutaneous ; Staghorn Calculi
    Language English
    Publishing date 2018-07-12
    Publishing country Germany
    Document type Letter ; Comment
    ZDB-ID 380333-8
    ISSN 1433-8726 ; 0724-4983
    ISSN (online) 1433-8726
    ISSN 0724-4983
    DOI 10.1007/s00345-018-2401-9
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1832: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article: Construction and validation of a seven-gene signature for predicting overall survival in patients with kidney renal clear cell carcinoma via an integrated bioinformatics analysis.

    Jiang, Huiming / Chen, Haibin / Chen, Nanhui

    Animal cells and systems

    2020  Volume 24, Issue 3, Page(s) 160–170

    Abstract: Kidney renal clear cell carcinoma (KIRC) remains a significant challenge worldwide because of its poor prognosis and high mortality rate, and accurate prognostic gene signatures are urgently required for individual therapy. This study aimed to construct ... ...

    Abstract Kidney renal clear cell carcinoma (KIRC) remains a significant challenge worldwide because of its poor prognosis and high mortality rate, and accurate prognostic gene signatures are urgently required for individual therapy. This study aimed to construct and validate a seven-gene signature for predicting overall survival (OS) in patients with KIRC. The mRNA expression profile and clinical data of patients with KIRC were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC). Prognosis-associated genes were identified, and a prognostic gene signature was constructed. Then, the prognostic efficiency of the gene signature was assessed. The results obtained using data from the TCGA were validated using those from the ICGC and other online databases. Gene set enrichment analyses (GSEA) were performed to explore potential molecular mechanisms. A seven-gene signature (PODXL, SLC16A12, ZIC2, ATP2B3, KRT75, C20orf141, and CHGA) was constructed, and it was found to be effective in classifying KIRC patients into high- and low-risk groups, with significantly different survival based on the TCGA and ICGC validation data set. Cox regression analysis revealed that the seven-gene signature had an independent prognostic value. Then, we established a nomogram, including the seven-gene signature, which had a significant clinical net benefit. Interestingly, the seven-gene signature had a good performance in distinguishing KIRC from normal tissues. GSEA revealed that several oncological signatures and GO terms were enriched. This study developed a novel seven-gene signature and nomogram for predicting the OS of patients with KIRC, which may be helpful for clinicians in establishing individualized treatments.
    Language English
    Publishing date 2020-05-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562988-8
    ISSN 2151-2485 ; 1976-8354
    ISSN (online) 2151-2485
    ISSN 1976-8354
    DOI 10.1080/19768354.2020.1760932
    Database MEDical Literature Analysis and Retrieval System OnLINE

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