Therapeutic developments in pancreatic cancer: current and future perspectives
Abstract
The overall 5-year survival for pancreatic cancer has changed little over the past few decades, and pancreatic cancer is predicted to be the second leading cause of cancer-related mortality in the next decade in Western countries. The past few years, however, have seen improvements in first-line and second-line palliative therapies and considerable progress in increasing survival with adjuvant treatment. The use of biomarkers to help define treatment and the potential of neoadjuvant therapies also offer opportunities to improve outcomes. This Review brings together information on achievements to date, what is working currently and where successes are likely to be achieved in the future. Furthermore, we address the questions of how we should approach the development of pancreatic cancer treatments, including those for patients with metastatic, locally advanced and borderline resectable pancreatic cancer, as well as for patients with resected tumours. In addition to embracing newer strategies comprising genomics, stromal therapies and immunotherapies, conventional approaches using chemotherapy and radiotherapy still offer considerable prospects for greater traction and synergy with evolving concepts.
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Median survival on various chemotherapies for pancreatic cancer is poor and often does not exceed 12-18 months.
“Median survival on various chemotherapies is poor and often does not exceed 12–18 months (3).”
From KRAS mutation in pancreatic cancer (2021) · cites this paper as [3]
Survival rates are substantially better for patients diagnosed at an operable rather than an inoperable stage of pancreatic ductal adenocarcinoma.
“Survival rates are also substantially better for patients diagnosed at an operable rather than an inoperable stage.9”
From Early detection of pancreatic cancer (2020) · cites this paper as [9]
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
Tumor-Associated Macrophages: From Mechanisms to Therapy
Noy, R., & Pollard, J. W. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.010 · Cited by 4,089 · see citing works
Moore, M. J., Goldstein, D., Hamm, J., Figer, A., Hecht, J. R., Gallinger, S., Au, H. J., Murawa, P., Walde, D., Wolff, R. A., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.07.9525 · Cited by 3,848 · see citing works
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 · see citing works
Overman, M. J., McDermott, R., Leach, J. L., Lonardi, S., Lenz, H.-J., Morse, M. A., Desai, J., Hill, A., Axelson, M., Moss, R. A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30422-9 · Cited by 2,836 · see citing works
Whole genomes redefine the mutational landscape of pancreatic cancer
Initiative, A. P. C. G., Waddell, N., Pajic, M., Patch, A.-M., Chang, D. K., Kassahn, K. S., Bailey, P., Johns, A. L., Miller, D., Nones, K., et al. (2015) · Nature · doi:10.1038/nature14169 · Cited by 2,642 · see citing works
Feig, C., Jones, J. O., Kraman, M., Wells, R. J. B., Deonarine, A., Chan, D. S., Connell, C. M., Roberts, E. W., Zhao, Q., Caballero, O. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320318110 · Cited by 2,100 · see citing works
Wang-Gillam, A., Li, C.-P., Bodoky, G., Dean, A., Shan, Y.-S., Jameson, G., Macarulla, T., Lee, K.-H., Cunningham, D., Blanc, J. F., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)00986-1 · Cited by 1,222 · see citing works
Self-citationWhole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets
Witkiewicz, A. K., McMillan, E. A., Balaji, U., Baek, G., Lin, W.-C., Mansour, J., Mollaee, M., Wagner, K.-U., Koduru, P., Yopp, A., et al. (2015) · Nature Communications · doi:10.1038/ncomms7744 · Cited by 1,115 · see citing works
Mackall, C. L., Fleisher, T. A., Brown, M. R., Andrich, M. P., Chen, C. C., Feuerstein, I. M., Magrath, I. T., Wexler, L. H., Dimitrov, D. S., & Gress, R. E. (1997) · Blood · doi:10.1182/blood.v89.10.3700 · Cited by 400 · see citing works
Fearon, D. T. (2014) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0002 · Cited by 288 · see citing works
Kindler, H. L., Wroblewski, K., Wallace, J. A., Hall, M. J., Locker, G., Nattam, S., Agamah, E., Stadler, W. M., & Vokes, E. E. (2012) · Investigational New Drugs · doi:10.1007/s10637-010-9526-z · Cited by 103 · see citing works
Palmer, D. H., Dueland, S., Valle, J. W., & Aksnes, A.-K. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2017.35.15_suppl.4119 · Cited by 12 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Optimizing the outcomes of pancreatic cancer surgery
Strobel, O., Neoptolemos, J., Jäger, D., & Büchler, M. W. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0112-1 · Cited by 943 · see citing works
Self-citationEarly detection of pancreatic cancer
Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30416-9 · Cited by 482 · see citing works
Self-citationKRAS mutation in pancreatic cancer
Luo, J. (2021) · Seminars in Oncology · doi:10.1053/j.seminoncol.2021.02.003 · Cited by 360 · see citing works
Priem, B., van Leent, M. M. T., Teunissen, A. J. P., Sofias, A. M., Mourits, V. P., Willemsen, L., Klein, E. D., Oosterwijk, R. S., Meerwaldt, A. E., Munitz, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.059 · Cited by 222 · see citing works
Lead-time trajectory of CA19-9 as an anchor marker for pancreatic cancer early detection
Fahrmann, J. F., Schmidt, C. M., Mao, X., Irajizad, E., Loftus, M., Zhang, J., Patel, N., Vykoukal, J., Dennison, J. B., Long, J. P., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.11.052 · Cited by 208 · see citing works
Muthalagu, N., Monteverde, T., Raffo-Iraolagoitia, X., Wiesheu, R., Whyte, D., Hedley, A., Laing, S., Kruspig, B., Upstill-Goddard, R., Shaw, R., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0620 · Cited by 182 · see citing works
Hu, H.-F., Ye, Z., Qin, Y., Xu, X.-W., Yu, X.-J., Zhuo, Q.-F., & Ji, S.-R. (2021) · Acta Pharmacologica Sinica · doi:10.1038/s41401-020-00584-2 · Cited by 149 · see citing works
Artificial intelligence in pancreatic cancer
Huang, B., Huang, H., Zhang, S., Zhang, D., Shi, Q., Liu, J., & Guo, J. (2022) · Theranostics · doi:10.7150/thno.77949 · Cited by 142 · see citing works
“Meanwhile, it is also essential to use better ways to assess treatment efficacy and prognosis, which will facilitate the development of appropriate clinical treatment options and critical drugs [25,26].”
BackgroundWang, C., Zhang, T., Liao, Q., Dai, M., Guo, J., Yang, X., Tan, W., Lin, D., Wu, C., & Zhao, Y. (2021) · Protein & Cell · doi:10.1007/s13238-020-00760-4 · Cited by 82 · see citing works
Ruggeri, J. M., Franco-Barraza, J., Sohail, A., Zhang, Y., Long, D., Pasca di Magliano, M., Cukierman, E., Fridman, R., & Crawford, H. C. (2020) · The American Journal of Pathology · doi:10.1016/j.ajpath.2020.03.020 · Cited by 40 · see citing works
Plangger, A., Rath, B., Stickler, S., Hochmair, M., Lang, C., Weigl, L., Funovics, M., & Hamilton, G. (2022) · Discover Oncology · doi:10.1007/s12672-022-00550-w · Cited by 25 · see citing works
PFOS and Its Commercial Alternative, 6:2 Cl-PFESA, Induce Multidrug Resistance in Pancreatic Cancer
Hong, J., Du, K., Zhang, W., Jiang, Y., Yu, H., Pan, T., Wu, T., Zhao, L., Du, W., Zheng, S.-S., et al. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c08669 · Cited by 16 · see citing works
Vidimar, V., Park, M., Stubbs, C. K., Ingram, N. K., Qiang, W., Zhang, S., Gursel, D., Melnyk, R. A., & Satchell, K. J. F. (2022) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-21-0550 · Cited by 10 · see citing works
- Authors
- Neoptolemos, J. P., Kleeff, J., Michl, P., Costello, E., Greenhalf, W., & Palmer, D. H.
- Affiliations
- Heidelberg University (DE)
- Martin Luther University Halle-Wittenberg (DE)
- University of Liverpool (GB)
- Corresponding author
- Neoptolemos, John P.
- Venue
- Nature Reviews Gastroenterology & Hepatology
- Published
- 2018-05-01
- Volume
- 15
- Issue
- 6
- Pages
- 333-348
- ISSN
- 1759-5045 (ISSN-L)
- 1759-5053
- OpenAlex
- W2800389517
- Cited by
- 1,170
- References
- 13
- Citations by year
- 2026: 54 · 2025: 142 · 2024: 141 · 2023: 201 · 2022: 183 · 2021: 217 · 2020: 144 · 2019: 71 · 2018: 17
- FWCI
- 11.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Gastroenterology & Hepatology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Pancreatic Cancer UK (RIF2014_03_Costello)
- European Cooperation in Science and Technology
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Health Sciences › Medicine › Surgery › Cholangiocarcinoma and Gallbladder Cancer Studies
- Keywords
- pancreatic cancer, adjuvant therapy, neoadjuvant therapy, biomarkers, chemotherapy, radiotherapy, immunotherapy, metastatic pancreatic cancer, locally advanced pancreatic cancer, borderline resectable pancreatic cancer, resected pancreatic cancer, genomics, cancer survival
- MeSH terms
- Antineoplastic Agents, Combined Modality Therapy, Forecasting, Humans, Immunotherapy, Palliative Care, Pancreatic Neoplasms, Biomedical Research, Precision Medicine
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