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  1. Book: Hormones, genes, and cancer

    Henderson, Brian / Ponder, Bruce A. J. / Ross, Ronald K.

    2003  

    Author's details Brian E. Henderson ; Bruce Ponder ; Ronald K. Ross
    Keywords Neoplasms / etiology ; Genes / physiology ; Hormones / physiology ; Carcinogenese ; Hormon
    Subject Hormone ; Krebs ; Krebsentstehung ; Karzinogenese ; Kanzerogenese ; Onkogenese
    Language English
    Size XIII, 450 S. : Ill., graph. Darst.
    Publisher Oxford Univ. Press
    Publishing place Oxford
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT013656930
    ISBN 0-19-513576-8 ; 978-0-19-513576-3
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk.

    de Biase, Maria Stella / Massip, Florian / Wei, Tzu-Ting / Giorgi, Federico M / Stark, Rory / Stone, Amanda / Gladwell, Amy / O'Reilly, Martin / Schütte, Daniel / de Santiago, Ines / Meyer, Kerstin B / Markowetz, Florian / Ponder, Bruce A J / Rintoul, Robert C / Schwarz, Roland F

    Genome medicine

    2024  Volume 16, Issue 1, Page(s) 54

    Abstract: Background: Lung cancer is the leading cause of cancer-related death in the world. In contrast to many other cancers, a direct connection to modifiable lifestyle risk in the form of tobacco smoke has long been established. More than 50% of all smoking- ... ...

    Abstract Background: Lung cancer is the leading cause of cancer-related death in the world. In contrast to many other cancers, a direct connection to modifiable lifestyle risk in the form of tobacco smoke has long been established. More than 50% of all smoking-related lung cancers occur in former smokers, 40% of which occur more than 15 years after smoking cessation. Despite extensive research, the molecular processes for persistent lung cancer risk remain unclear. We thus set out to examine whether risk stratification in the clinic and in the general population can be improved upon by the addition of genetic data and to explore the mechanisms of the persisting risk in former smokers.
    Methods: We analysed transcriptomic data from accessible airway tissues of 487 subjects, including healthy volunteers and clinic patients of different smoking statuses. We developed a computational model to assess smoking-associated gene expression changes and their reversibility after smoking is stopped, comparing healthy subjects to clinic patients with and without lung cancer.
    Results: We find persistent smoking-associated immune alterations to be a hallmark of the clinic patients. Integrating previous GWAS data using a transcriptional network approach, we demonstrate that the same immune- and interferon-related pathways are strongly enriched for genes linked to known genetic risk factors, demonstrating a causal relationship between immune alteration and lung cancer risk. Finally, we used accessible airway transcriptomic data to derive a non-invasive lung cancer risk classifier.
    Conclusions: Our results provide initial evidence for germline-mediated personalized smoke injury response and risk in the general population, with potential implications for managing long-term lung cancer incidence and mortality.
    MeSH term(s) Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/metabolism ; Smoking/adverse effects ; Smoking/genetics ; Lung/metabolism ; Nicotiana ; Nasal Mucosa/metabolism ; Transcriptome
    Language English
    Publishing date 2024-04-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-024-01317-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Genetics and cancer

    Ponder, Bruce A. J.

    a second look

    (Cancer surveys ; 25)

    1995  

    Author's details guest eds. B. A. J. Ponder
    Series title Cancer surveys ; 25
    Collection
    Keywords Neoplasms / genetics ; Krebs ; Genetische Epistemologie
    Subject Genetische Erkenntnistheorie ; Carcinom ; Malignom ; Maligner Tumor ; Neoplasma ; Karzinom ; Bösartiger Tumor ; Krebserkrankung
    Language English
    Size VI, 410 S. : graph. Darst.
    Publisher Cold Spring Harbor Laboratory Press
    Publishing place Plainview, NY
    Publishing country United States
    Document type Book
    HBZ-ID HT007146798
    ISBN 0-87969-469-6 ; 978-0-87969-469-2
    Database Catalogue ZB MED Medicine, Health

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  4. Book: The genetics of cancer

    Ponder, Bruce A. J.

    (Cancer biology and medicine ; 4 ; DION ; 76)

    1995  

    Author's details ed. by B. A. J. Ponder
    Series title Cancer biology and medicine ; 4
    DION ; 76
    Developments in oncology
    Collection Developments in oncology
    Keywords Neoplasms / genetics ; Molekulargenetik ; Krebs
    Subject Carcinom ; Malignom ; Maligner Tumor ; Neoplasma ; Karzinom ; Bösartiger Tumor ; Krebserkrankung ; Molekulare Genetik ; Biochemische Genetik
    Language English
    Size IX, 221 S. : graph. Darst.
    Publisher Kluwer
    Publishing place Dordrecht u.a.
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT007276541
    ISBN 0-7923-8886-0 ; 978-0-7923-8886-9
    Database Catalogue ZB MED Medicine, Health

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  5. Book: Genetics of malignant disease

    Ponder, Bruce A. J.

    (British medical bulletin ; 50,3)

    1994  

    Author's details scientific ed.: B. A. J. Ponder
    Series title British medical bulletin ; 50,3
    Collection
    Keywords Neoplasms / genetics ; Genetik ; Krebs ; Erbkrankheit
    Subject Genetische Krankheit ; Heredopathie ; Genetisch bedingte Krankheit ; Genetisches Syndrom ; Erbkrankheiten ; Carcinom ; Malignom ; Maligner Tumor ; Neoplasma ; Karzinom ; Bösartiger Tumor ; Krebserkrankung ; Allgemeine Genetik ; Erbbiologie ; Erbforschung ; Erblehre ; Vererbungslehre ; Vererbungswissenschaft ; Erblichkeitslehre
    Language English
    Size S. 518 - 752 : Ill., graph. Darst.
    Publisher Churchill Livingstone
    Publishing place Edinburgh u.a.
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT006327593
    ISBN 0-443-05153-4 ; 978-0-443-05153-1
    Database Catalogue ZB MED Medicine, Health

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  6. Book: The Science of cancer treatment

    Ponder, Bruce A. J.

    (Cancer biology and medicine ; 2)

    1990  

    Author's details ed. by B. A. Ponder
    Series title Cancer biology and medicine ; 2
    Collection
    Keywords Neoplasms / therapy
    Language English
    Size IX, 211 S.
    Publisher Kluwer
    Publishing place Dordrecht u.a.
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT003693376
    ISBN 0-7923-8905-0 ; 978-0-7923-8905-7
    Database Catalogue ZB MED Medicine, Health

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  7. Article ; Online: Raman micro-spectroscopy for accurate identification of primary human bronchial epithelial cells.

    Surmacki, Jakub M / Woodhams, Benjamin J / Haslehurst, Alexandria / Ponder, Bruce A J / Bohndiek, Sarah E

    Scientific reports

    2018  Volume 8, Issue 1, Page(s) 12604

    Abstract: Live cell Raman micro-spectroscopy is emerging as a promising bioanalytical technique for label-free discrimination of a range of different cell types (e.g. cancer cells and fibroblasts) and behaviors (e.g. apoptosis). The aim of this study was to ... ...

    Abstract Live cell Raman micro-spectroscopy is emerging as a promising bioanalytical technique for label-free discrimination of a range of different cell types (e.g. cancer cells and fibroblasts) and behaviors (e.g. apoptosis). The aim of this study was to determine whether confocal Raman micro-spectroscopy shows sufficient sensitivity and specificity for identification of primary human bronchial epithelial cells (HBECs) to be used for live cell biological studies in vitro. We first compared cell preparation substrates and media, considering their influence on lung cell proliferation and Raman spectra, as well as methods for data acquisition, using different wavelengths (488 nm, 785 nm) and scan protocols (line, area). Evaluating these parameters using human lung cancer (A549) and fibroblast (MRC5) cell lines confirmed that line-scan data acquisition at 785 nm using complete cell media on a quartz substrate gave optimal performance. We then applied our protocol to acquisition of data from primary human bronchial epithelial cells (HBEC) derived from three independent sources, revealing an average sensitivity for different cell types of 96.3% and specificity of 95.2%. These results suggest that Raman micro-spectroscopy is suitable for delineating primary HBEC cell cultures, which in future could be used for identifying different lung cell types within co-cultures and studying the process of early carcinogenesis in lung cell culture.
    MeSH term(s) A549 Cells ; Bronchi/diagnostic imaging ; Bronchi/metabolism ; Carcinogenesis/metabolism ; Cell Culture Techniques ; Cell Line ; Cell Proliferation ; Coculture Techniques ; Epithelial Cells/pathology ; Fibroblasts ; Humans ; Lung/diagnostic imaging ; Lung Neoplasms/metabolism ; Sensitivity and Specificity ; Spectrum Analysis, Raman/methods
    Language English
    Publishing date 2018-08-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-018-30407-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: TreeAndLeaf: an R/Bioconductor package for graphs and trees with focus on the leaves.

    Cardoso, Milena A / Rizzardi, Luis E A / Kume, Leonardo W / Groeneveld, Clarice / Trefflich, Sheyla / Morais, Diego A A / Dalmolin, Rodrigo J S / Ponder, Bruce A J / Meyer, Kerstin B / Castro, Mauro A A

    Bioinformatics (Oxford, England)

    2021  

    Abstract: Motivation: Dendrogram is a classical diagram for visualizing binary trees. Although efficient to represent hierarchical relations, it provides limited space for displaying information on the leaf elements, especially for large trees.: Results: Here ... ...

    Abstract Motivation: Dendrogram is a classical diagram for visualizing binary trees. Although efficient to represent hierarchical relations, it provides limited space for displaying information on the leaf elements, especially for large trees.
    Results: Here we present TreeAndLeaf, an R/Bioconductor package that implements a hybrid layout strategy to represent tree diagrams with focus on the leaves. The TreeAndLeaf package combines force-directed graph and tree layout algorithms using a single visualization system, allowing projection of multiple layers of information onto a graph-tree diagram. The Supplementary Information provides two case studies that use breast cancer data from epidemiological and experimental studies.
    Availability: TreeAndLeaf is written in the R language, and is available from the Bioconductor project at http://bioconductor.org/packages/TreeAndLeaf/ (version¿=1.4.2).
    Supplementary information: Supplementary data are available at Bioinformatics online.
    Language English
    Publishing date 2021-12-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btab819
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: RTNsurvival: an R/Bioconductor package for regulatory network survival analysis.

    Groeneveld, Clarice S / Chagas, Vinicius S / Jones, Steven J M / Robertson, A Gordon / Ponder, Bruce A J / Meyer, Kerstin B / Castro, Mauro A A

    Bioinformatics (Oxford, England)

    2019  Volume 35, Issue 21, Page(s) 4488–4489

    Abstract: Motivation: Transcriptional networks are models that allow the biological state of cells or tumours to be described. Such networks consist of connected regulatory units known as regulons, each comprised of a regulator and its targets. Inferring a ... ...

    Abstract Motivation: Transcriptional networks are models that allow the biological state of cells or tumours to be described. Such networks consist of connected regulatory units known as regulons, each comprised of a regulator and its targets. Inferring a transcriptional network can be a helpful initial step in characterizing the different phenotypes within a cohort. While the network itself provides no information on molecular differences between samples, the per-sample state of each regulon, i.e. the regulon activity, can be used for describing subtypes in a cohort. Integrating regulon activities with clinical data and outcomes would extend this characterization of differences between subtypes.
    Results: We describe RTNsurvival, an R/Bioconductor package that calculates regulon activity profiles using transcriptional networks reconstructed by the RTN package, gene expression data, and a two-tailed Gene Set Enrichment Analysis. Given regulon activity profiles across a cohort, RTNsurvival can perform Kaplan-Meier analyses and Cox Proportional Hazards regressions, while also considering confounding variables. The Supplementary Information provides two case studies that use data from breast and liver cancer cohorts and features uni- and multivariate regulon survival analysis.
    Availability and implementation: RTNsurvival is written in the R language, and is available from the Bioconductor project at http://bioconductor.org/packages/RTNsurvival/.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Gene Expression ; Gene Regulatory Networks ; Probability ; Software ; Survival Analysis
    Language English
    Publishing date 2019-03-28
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btz229
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Breast Cancer Research--the first ten years.

    Mulvany, Frances / Ponder, Bruce A J

    Breast cancer research : BCR

    2008  Volume 10, Issue 2, Page(s) 103

    MeSH term(s) Bibliometrics ; Biomedical Research ; Breast Neoplasms ; Female ; Humans ; Internet ; Journalism, Medical
    Language English
    Publishing date 2008-03-10
    Publishing country England
    Document type Editorial
    ZDB-ID 2015059-3
    ISSN 1465-542X ; 1465-5411
    ISSN (online) 1465-542X
    ISSN 1465-5411
    DOI 10.1186/bcr1873
    Database MEDical Literature Analysis and Retrieval System OnLINE

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