The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes
Open accessAbstract
Recent studies have offered ample insight into genome-wide expression patterns to define pancreatic ductal adenocarcinoma (PDAC) subtypes, although there remains a lack of knowledge regarding the underlying epigenomics of PDAC. Here we perform multi-parametric integrative analyses of chromatin immunoprecipitation-sequencing (ChIP-seq) on multiple histone modifications, RNA-sequencing (RNA-seq), and DNA methylation to define epigenomic landscapes for PDAC subtypes, which can predict their relative aggressiveness and survival. Moreover, we describe the state of promoters, enhancers, super-enhancers, euchromatic, and heterochromatic regions for each subtype. Further analyses indicate that the distinct epigenomic landscapes are regulated by different membrane-to-nucleus pathways. Inactivation of a basal-specific super-enhancer associated pathway reveals the existence of plasticity between subtypes. Thus, our study provides new insight into the epigenetic landscapes associated with the heterogeneity of PDAC, thereby increasing our mechanistic understanding of this disease, as well as offering potential new markers and therapeutic targets.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
Regulation of chromatin by histone modifications
Bannister, A. J., & Kouzarides, T. (2011) · Cell Research · doi:10.1038/cr.2011.22 · Cited by 6,012
Genomic analyses identify molecular subtypes of pancreatic cancer
Bailey, P., Chang, D. K., Nones, K., Johns, A. L., Patch, A.-M., Gingras, M.-C., Miller, D. K., Christ, A. N., Bruxner, T. J. C., Quinn, M. C., et al. (2016) · Nature · doi:10.1038/nature16965 · Cited by 3,621
Selective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers
Lovén, J., Hoke, H. A., Lin, C. Y., Lau, A., Orlando, D. A., Vakoc, C. R., Bradner, J. E., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.036 · Cited by 2,961
Moffitt, R. A., Marayati, R., Flate, E. L., Volmar, K. E., Loeza, S. G. H., Hoadley, K. A., Rashid, N. U., Williams, L. A., Eaton, S. C., Chung, A. H., et al. (2015) · Nature Genetics · doi:10.1038/ng.3398 · Cited by 2,194
Patient-derived tumour xenografts as models for oncology drug development
Tentler, J. J., Tan, A. C., Weekes, C. D., Jimeno, A., Leong, S., Pitts, T. M., Arcaroli, J. J., Messersmith, W. A., & Eckhardt, S. G. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.61 · Cited by 1,277
The selection and function of cell type-specific enhancers
Heinz, S., Romanoski, C. E., Benner, C., & Glass, C. K. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3949 · Cited by 1,010
Cited by
Accurate and efficient detection of gene fusions from RNA sequencing data
Uhrig, S., Ellermann, J., Walther, T., Burkhardt, P., Fröhlich, M., Hutter, B., Toprak, U. H., Neumann, O., Stenzinger, A., Scholl, C., et al. (2021) · Genome Research · doi:10.1101/gr.257246.119 · Cited by 526
Orth, M., Metzger, P., Gerum, S., Mayerle, J., Schneider, G., Belka, C., Schnurr, M., & Lauber, K. (2019) · Radiation Oncology · doi:10.1186/s13014-019-1345-6 · Cited by 490
Microenvironmental Determinants of Pancreatic Cancer
Hessmann, E., Buchholz, S. M., Demir, I. E., Singh, S. K., Gress, T. M., Ellenrieder, V., & Neesse, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00042.2019 · Cited by 331
Hosein, A. N., Huang, H., Wang, Z., Parmar, K., Du, W., Huang, J., Maitra, A., Olson, E., Verma, U., & Brekken, R. A. (2019) · JCI Insight · doi:10.1172/jci.insight.129212 · Cited by 302
Ordered and deterministic cancer genome evolution after p53 loss
Baslan, T., Morris, J. P., Zhao, Z., Reyes, J., Ho, Y.-J., Tsanov, K. M., Bermeo, J., Tian, S., Zhang, S., Askan, G., et al. (2022) · Nature · doi:10.1038/s41586-022-05082-5 · Cited by 221
Metadata
- Authors
- Lomberk, G., Blum, Y., Nicolle, R., Nair, A., Gaonkar, K. S., Marisa, L., Mathison, A., Sun, Z., Yan, H., Elarouci, N., Armenoult, L., Ayadi, M., Ordog, T., Lee, J.-H., Oliver, G., Klee, E., Moutardier, V., Gayet, O., Bian, B., Duconseil, P., Gilabert, M., Bigonnet, M., Garcia, S., Turrini, O., Delpero, J.-R., Giovannini, M., Grandval, P., Gasmi, M., Secq, V., De Reyniès, A., Dusetti, N., Iovanna, J., & Urrutia, R.
- Venue
- Nature Communications
- Published
- 2018-05-17
- Volume
- 9
- Issue
- 1
- Pages
- 1978-1978
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2803273701
- Cited by
- 261
- References
- 12
- FWCI
- 11.21
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes. https://app.cochat.ai/papers/10.1038/s41467-018-04383-6
- The paper
- Lomberk, G., Blum, Y., Nicolle, R., Nair, A., Gaonkar, K. S., Marisa, L., Mathison, A., Sun, Z., Yan, H., Elarouci, N., Armenoult, L., Ayadi, M., Ordog, T., Lee, J.-H., Oliver, G., Klee, E., Moutardier, V., Gayet, O., Bian, B., . . . Urrutia, R. (2018). Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes. Nature Communications. https://doi.org/10.1038/s41467-018-04383-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.