The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Features
Abstract
Background & aims Genomic studies have revealed subtypes of pancreatic ductal adenocarcinoma (PDA) based on their molecular features, but different studies have reported different classification systems. It is a challenge to obtain high-quality, freshly frozen tissue for clinical analysis and determination of PDA subtypes. We aimed to redefine subtypes of PDA using a large number of formalin-fixed and paraffin-embedded PDA samples, which are more amenable to routine clinical evaluation.Methods We collected PDA samples from 309 consecutive patients who underwent surgery from September 1996 through December 2010 at 4 academic hospitals in Europe; nontumor tissue samples were not included. Samples were formalin fixed and paraffin embedded. DNA and RNA were isolated; gene expression, targeted DNA sequencing, and immunohistochemical analyses were performed. We used independent component analysis to deconvolute normal, tumor, and microenvironment transcriptome patterns in samples. We devised classification systems from an unsupervised analysis using a consensus clustering approach of our data set after removing normal contamination components. We associated subtypes with overall survival and disease-free survival of patients using Cox proportional hazards regression with estimation of hazard ratios and 95% confidence interval. We used The Cancer Genome Consortium and International Cancer Genome Consortium PDA data sets as validation cohorts.Results We validated the previously reported basal-like and classical tumor-specific subtypes of PDAs. We identified features of the PDA, including microenvironment gene expression patterns, that allowed tumors to be categorized into 5 subtypes, called pure basal like, stroma activated, desmoplastic, pure classical, and immune classical. These PDA subtypes have features of cancer cells and immune cells that could be targeted by pharmacologic agents. Tumor subtypes were associated with patient outcomes, based on analysis of our data set and the International Cancer Genome Consortium and The Cancer Genome Consortium PDA data sets. We also observed an exocrine signal associated with acinar cell contamination (from pancreatic tissue).Conclusions We identified a classification system based on gene expression analysis of formalin-fixed PDA samples. We identified 5 PDA subtypes, based on features of cancer cells and the tumor microenvironment. This system might be used to select therapies and predict patient outcomes. We found evidence that the previously reported exocrine-like (called ADEX) tumor subtype resulted from contamination with pancreatic acinar cells. ArrayExpress accession number: E-MTAB-6134.
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“they suggested that their findings demonstrate that the Bailey ADEX subtype is likely contamination of pancreatic acinar cells.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [133]
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“Puleo et al. identified five subtypes, termed “pure basal like”, “stroma activated”, “desmoplastic”, “pure classical”, and “immune classical”133.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [133]
Citations
Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778
Rahib, L., Smith, B. D., Aizenberg, R., Rosenzweig, A. B., Fleshman, J. M., & Matrisian, L. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0155 · Cited by 7,094
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Wilkerson, M. D., & Hayes, D. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq170 · Cited by 5,645
The consensus molecular subtypes of colorectal cancer
Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine · doi:10.1038/nm.3967 · Cited by 5,170
Self-citationBecht, É., Giraldo, N. A., Lacroix, L., Buttard, B., Elarouci, N., Petitprez, F., Sèlves, J., Laurent‐Puig, P., Sautès‐Fridman, C., Fridman, W. H., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1070-5 · Cited by 3,677
Self-citationGenomic 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
Olive, K. P., Jacobetz, M. A., Davidson, C. J., Gopinathan, A., McIntyre, D., Honess, D., Madhu, B., Goldgraben, M. A., Caldwell, M. E., Allard, D., et al. (2009) · Science · doi:10.1126/science.1171362 · Cited by 3,170
Blind beamforming for non-gaussian signals
Cardoso, J.-F., & Souloumiac, A. (1993) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1993.0054 · Cited by 2,759
Özdemir, B. C., Pentcheva-Hoang, T., Carstens, J. L., Zheng, X., Wu, C.-C., Simpson, T. R., Laklai, H., Sugimoto, H., Kahlert, C., Novitskiy, S. V., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.005 · Cited by 2,681
Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer
Öhlund, D., Handly-Santana, A., Biffi, G., Elyada, E., Almeida, A. S., Ponz-Sarvise, M., Corbo, V., Oni, T. E., Hearn, S. A., Lee, E. J., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162024 · Cited by 2,590
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
Stromal Elements Act to Restrain, Rather Than Support, Pancreatic Ductal Adenocarcinoma
Rhim, A. D., Oberstein, P. E., Thomas, D. H., Mirek, E. T., Palermo, C. F., Sastra, S. A., Dekleva, E. N., Saunders, T., Becerra, C. P., Tattersall, I. W., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.021 · Cited by 2,085
Integrated genomic characterization of pancreatic ductal adenocarcinoma
Raphael, B. J., Hruban, R. H., Aguirre, A. J., Moffitt, R. A., Yeh, J. J., Stewart, C., Robertson, A. G., Cherniack, A. D., Gupta, M., Getz, G., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.07.007 · Cited by 2,019
Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy
Collisson, E. A., Sadanandam, A., Olson, P., Gibb, W. J., Truitt, M., Gu, S., Cooc, J., Weinkle, J., Kim, G. E., Jakkula, L., et al. (2011) · Nature Medicine · doi:10.1038/nm.2344 · Cited by 1,967
Baron, M., Veres, A., Wolock, S. L., Faust, A. L., Gaujoux, R., Vetere, A., Ryu, J. H., Wagner, B. K., Shen-Orr, S. S., Klein, A. M., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.08.011 · Cited by 1,508
Marisa, L., de Reyniès, A., Duval, A., Selves, J., Gaub, M. P., Vescovo, L., Etienne-Grimaldi, M.-C., Schiappa, R., Guenot, D., Ayadi, M., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001453 · Cited by 1,507
Self-citationTargeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy
Jiang, H., Hegde, S., Knolhoff, B. L., Zhu, Y., Herndon, J. M., Meyer, M. A., Nywening, T. M., Hawkins, W. G., Shapiro, I. M., Weaver, D. T., et al. (2016) · Nature Medicine · doi:10.1038/nm.4123 · Cited by 1,060
Stromal biology and therapy in pancreatic cancer: a changing paradigm
Neeße, A., Algül, H., Tuveson, D. A., & Gress, T. M. (2015) · Gut · doi:10.1136/gutjnl-2015-309304 · Cited by 567
Stromal response to Hedgehog signaling restrains pancreatic cancer progression
Lee, J. J., Perera, R. M., Wang, H., Wu, D.-C., Liu, X. S., Han, S., Fitamant, J., Jones, P. D., Ghanta, K. S., Kawano, S., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1411679111 · Cited by 502
More deaths from pancreatic cancer than breast cancer in the EU by 2017
Ferlay, J., Partensky, C., & Bray, F. (2016) · Acta Oncologica · doi:10.1080/0284186x.2016.1197419 · Cited by 465
Farrell, J. J., Elsaleh, H., García, M. L., Lai, R. L., Ammar, A., Regine, W. F., Abrams, R. A., Benson, A. B., Macdonald, J. S., Cass, C. E., et al. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.09.067 · Cited by 458
Pancreatic Cancer hENT1 Expression and Survival From Gemcitabine in Patients From the ESPAC-3 Trial
Greenhalf, W., Ghaneh, P., Neoptolemos, J. P., Palmer, D. H., Cox, T. F., Lamb, R. F., Garner, E., Campbell, F., Mackey, J. R., Costello, E., et al. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djt347 · Cited by 336
Feldmann, G., Fendrich, V., McGovern, K., Bedja, D., Bisht, S., Alvarez, H., Koorstra, J.-B. M., Habbe, N., Karikari, C. A., Mullendore, M. E., et al. (2008) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-08-0573 · Cited by 275
Maréchal, R., Bachet, J., Mackey, J. R., Dalban, C., Demetter, P., Graham, K., Couvelard, A., Svrcek, M., Bardier–Dupas, A., Hammel, P. R., et al. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.006 · Cited by 240
Self-citationNicolle, R., Blum, Y., Marisa, L., Loncle, C., Gayet, O., Moutardier, V., Turrini, O., Giovannini, M. F., Bian, B., Bigonnet, M., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.11.003 · Cited by 199
Self-citationFranks, J. M., Cai, G., & Whitfield, M. L. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty026 · Cited by 101
Bachet, J., Maréchal, R., Demetter, P., Bonnetain, F., Couvelard, A., Svrcek, M., Bardier–Dupas, A., Hammel, P. R., Sauvanet, A., Louvet, C., et al. (2012) · Annals of Oncology · doi:10.1093/annonc/mdr617 · Cited by 73
Self-citationSonic Hedgehog and Gli1 Expression Predict Outcome in Resected Pancreatic Adenocarcinoma
Maréchal, R., Bachet, J., Calomme, A., Demetter, P., Delpéro, J., Svrcek, M., Cros, J. F., Bardier–Dupas, A., Puleo, F., Monges, G. M., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0667 · Cited by 67
Self-citationS100A2 is a predictive biomarker of adjuvant therapy benefit in pancreatic adenocarcinoma
Bachet, J., Maréchal, R., Demetter, P., Bonnetain, F., Cros, J. F., Svrcek, M., Bardier–Dupas, A., Hammel, P. R., Sauvanet, A., Louvet, C., et al. (2013) · European Journal of Cancer · doi:10.1016/j.ejca.2013.04.017 · Cited by 42
Self-citationNeuzillet, C., Couvelard, A., Tijeras‐Raballand, A., de Mestier, L., Gramont, A. D. E., Bédossa, P., Paradis, V., Sauvanet, A., Bachet, J., Ruszniewski, P. B., et al. (2015) · Histopathology · doi:10.1111/his.12691 · Cited by 27
Self-citationDrouillard, A., Puleo, F., Bachet, J., Ouazzani, S., Calomme, A., Demetter, P., Verset, G., Laethem, J. V., & Maréchal, R. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.319 · Cited by 21
Self-citation
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Research works printed but not linked: 3
- Nicolle, 2017, Pancreatic adenocarcinoma therapeutic targets revealed by tumor-stroma cross-talk analyses in patient-derived xenografts, Cell Rep, 21, 2458, 10.1016/j.celrep.2017.11.003 · DOI
- Bailey, 2016, Genomic analyses identify molecular subtypes of pancreatic cancer, Nature, 531, 47, 10.1038/nature16965 · DOI · Paper page
- Moffitt, 2015, Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma, Nat Genet, 47, 1168, 10.1038/ng.3398 · DOI · Paper page
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Pancreatic cancer: Advances and challenges
Halbrook, C. J., Lyssiotis, C. A., Pasca di Magliano, M., & Maitra, A. (2023) · Cell · doi:10.1016/j.cell.2023.02.014 · Cited by 1,321
Pancreatic cancer stroma: an update on therapeutic targeting strategies
Hosein, A. N., Brekken, R. A., & Maitra, A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0300-1 · Cited by 950
Molecular subtypes of pancreatic cancer
Collisson, E. A., Bailey, P., Chang, D. K., & Biankin, A. V. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0109-y · Cited by 892
Pancreatic Cancer: Pathogenesis, Screening, Diagnosis, and Treatment
Wood, L. D., Canto, M. I., Jaffee, E. M., & Simeone, D. M. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.03.056 · Cited by 918
Metadata
- Authors
- Puleo, F., Nicolle, R., Blum, Y., Cros, J., Marisa, L., Demetter, P., Quertinmont, E., Svrcek, M., Elarouci, N., Iovanna, J., Franchimont, D., Verset, L., Galdon, M. G., Devière, J., de Reyniès, A., Laurent-Puig, P., Van Laethem, J.-L., Bachet, J.-B., & Maréchal, R.
- Affiliations
- Université Libre de Bruxelles (BE)
- La Ligue Contre le Cancer (FR)
- Erasmus Hospital (BE)
- Hôpital Saint-Antoine (FR)
- Centre National de la Recherche Scientifique (FR)
- Pitié-Salpêtrière Hospital (FR)
- Corresponding author
- Puleo, Francesco
- ORCID
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 155
- Issue
- 6
- Pages
- 1999-2013.e3
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2889433609
- Cited by
- 563
- References
- 34
- Citations by year
- 2026: 53 · 2025: 63 · 2024: 66 · 2023: 87 · 2022: 81 · 2021: 109 · 2020: 72 · 2019: 28 · 2018: 4
- FWCI
- 20.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- pancreatic ductal adenocarcinoma, tumor subtypes, tumor microenvironment, gene expression profiling, formalin-fixed paraffin-embedded tissue, desmoplasia, basal-like subtype, classical subtype, overall survival, disease-free survival, independent component analysis, consensus clustering
- MeSH terms
- Progression-Free Survival, Adenocarcinoma, Adult, Aged, Aged, 80 and over, DNA, Neoplasm, Female, Humans, Male, Middle Aged, Pancreas, Prospective Studies, Regression Analysis, RNA, Neoplasm, Gene Expression, Proportional Hazards Models, Sequence Analysis, DNA, Disease-Free Survival, Carcinoma, Pancreatic Ductal, Pancreas, Exocrine, Tumor Microenvironment, Transcriptome, Acinar Cells
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