Cited by 431Pancreatic and Hepatic Oncology ResearchPancreatitis Pathology and TreatmentPancreatic function and diabetes

Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring

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Shi, Yu, Gao, Weina, Lytle, Nikki K., Huang, Peiwu, Yuan, Xiao, Dann, Amanda M., Ridinger-Saison, Maya, DelGiorno, Kathleen E. +30 more·2019·Nature

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis largely owing to inefficient diagnosis and tenacious drug resistance. Activation of pancreatic stellate cells (PSCs) and consequent development of dense stroma are prominent features accounting for this aggressive biology 1,2. The reciprocal interplay between PSCs and pancreatic cancer cells (PCCs) not only enhances tumour progression and metastasis but also sustains their own activation, facilitating a vicious cycle to exacerbate tumorigenesis and drug resistance 3-7. Furthermore, PSC activation occurs very early during PDAC tumorigenesis 8-10, and activated PSCs comprise a substantial fraction of the tumour mass, providing a rich source of readily detectable factors. Therefore, we hypothesized that the communication between PSCs and PCCs could be an exploitable target to develop effective strategies for PDAC therapy and diagnosis. Here, starting with a systematic proteomic investigation of secreted disease mediators and underlying molecular mechanisms, we reveal that leukaemia inhibitory factor (LIF) is a key paracrine factor from activated PSCs acting on cancer cells. Both pharmacologic LIF blockade and genetic Lifr deletion markedly slow tumour progression and augment the efficacy of chemotherapy to prolong survival of PDAC mouse models, mainly by modulating cancer cell differentiation and epithelial-mesenchymal transition status. Moreover, in both mouse models and human PDAC, aberrant production of LIF in the pancreas is restricted to pathological conditions and correlates with PDAC pathogenesis, and changes in the levels of circulating LIF correlate well with tumour response to therapy. Collectively, these findings reveal a function of LIF in PDAC tumorigenesis, and suggest its translational potential as an attractive therapeutic target and circulating marker. Our studies underscore how a better understanding of cell-cell communication within the tumour microenvironment can suggest novel strategies for cancer therapy.

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  • Production of TGFβ, LIF, GAS6, FGF5, GDF15 and HGF promotes invasive and proliferative behaviour in cancer cells.

    “The production of TGFβ, leukaemia inhibitory factor (LIF), growth arrest-specific protein 6 (GAS6), fibroblast growth factor 5 (FGF5), growth differentiation factor 15 (GDF15) and hepatocyte growth factor (HGF) promotes invasive and proliferative behaviour in cancer cells52,109–112.”

    From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [109]

    The paper’s main text (indexed as Abstract; page unavailable) identifies stellate-cell-produced LIF as a paracrine factor that promotes pancreatic cancer progression, and reports reduced epithelial–mesenchymal transition markers after LIF blockade. It does not establish that LIF promotes both invasive and proliferative behaviour in cancer cells; in the reported chemotherapy experiment, LIF blockade was accompanied by increased cancer-cell proliferation. In this multi-citation sentence, the paper supports the LIF-related progression claim, not the full behavioural claim. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 39

  1. [1]Chu GC, Kimmelman AC, Hezel AF & DePinho RA Stromal biology of pancreatic cancer. J. Cell. Biochem 101, 887– 907 (2007). 17266048
  2. [2]Feig C The pancreas cancer microenvironment. Clin. Cancer Res 18, 4266– 4276 (2012). 22896693 PMC3442232
  3. [3]Omary MB, Lugea A, Lowe AW & Pandol SJ The pancreatic stellate cell: a star on the rise in pancreatic diseases. J. Clin. Invest 117, 50– 59 (2007). 17200706 PMC1716214
  4. [4]Mahadevan D & Von Hoff DD Tumor-stroma interactions in pancreatic ductal adenocarcinoma. Mol. Cancer Ther 6, 1186– 1197 (2007). 17406031
  5. [5]Erkan M StellaTUM: current consensus and discussion on pancreatic stellate cell research. Gut 61, 172– 178 (2012). 22115911 PMC3245897
  6. [6]Apte MV, Wilson JS, Lugea A & Pandol SJ A starring role for stellate cells in the pancreatic cancer microenvironment. Gastroenterology 144, 1210– 1219 (2013). 23622130 PMC3729446
  7. [7]Tape CJ Oncogenic KRAS regulates tumor cell signaling via stromal reciprocation. Cell 165, 910– 920 (2016). 27087446 PMC4868820
  8. [9]Fukuda A Stat3 and MMP7 contribute to pancreatic ductal adenocarcinoma initiation and progression. Cancer Cell 19, 441– 455 (2011). 21481787 PMC3075548
  9. [10]Lesina M Stat3/Socs3 activation by IL-6 transsignaling promotes progression of pancreatic intraepithelial neoplasia and development of pancreatic cancer. Cancer Cell 19, 456– 469 (2011). 21481788
  10. [11]Sherman MH Vitamin D receptor-mediated stromal reprogramming suppresses pancreatitis and enhances pancreatic cancer therapy. Cell 159, 80– 93 (2014). 25259922 PMC4177038
  11. [12]Nicola NA & Babon JJ Leukemia inhibitory factor (LIF). Cytokine Growth Factor Rev. 26, 533– 544 (2015). 26187859 PMC4581962
  12. [13]Penuelas S TGF-beta increases glioma-initiating cell self-renewal through the induction of LIF in human glioblastoma. Cancer Cell 15, 315– 327 (2009). 19345330
  13. [14]Liu SC Leukemia inhibitory factor promotes nasopharyngeal carcinoma progression and radioresistance. J. Clin. Invest 123, 5269– 5283 (2013). 24270418 PMC3859424
  14. [15]Albrengues J LIF mediates proinvasive activation of stromal fibroblasts in cancer. Cell Rep. 7, 1664– 1678 (2014). 24857661
  15. [16]Inda MM Tumor heterogeneity is an active process maintained by a mutant EGFR-induced cytokine circuit in glioblastoma. Genes Dev. 24, 1731– 1745 (2010). 20713517 PMC2922502
  16. [18]Bressy C LIF Drives neural remodeling in pancreatic cancer and offers a new candidate biomarker. Cancer Res. 78, 909– 921 (2018). 29269518
  17. [19]Biffi G IL-1-induced JAK/STAT signaling is antagonized by TGF-beta to shape CAF heterogeneity in pancreatic ductal adenocarcinoma. Cancer Discov (2018). PMC6368881 30366930
  18. [20]Laklai H Genotype tunes pancreatic ductal adenocarcinoma tissue tension to induce matricellular fibrosis and tumor progression. Nat. Med 22, 497– 505 (2016). 27089513 PMC4860133
  19. [23]Kim KJ, Alphonso M, Schmelzer CH & Lowe D Detection of human leukemia inhibitory factor by monoclonal antibody based ELISA. J. Immunol. Methods 156, 9– 17 (1992). 1385538
  20. [24]Li C Identification of pancreatic cancer stem cells. Cancer Res. 67, 1030– 1037 (2007). 17283135
  21. [25]Hermann PC Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell stem cell 1, 313– 323 (2007). 18371365
  22. [26]Kim MP ALDH activity selectively defines an enhanced tumor-initiating cell population relative to CD133 expression in human pancreatic adenocarcinoma. PLOS ONE 6, e20636 (2011). 21695188 PMC3113804
  23. [27]Li C c-Met is a marker of pancreatic cancer stem cells and therapeutic target. Gastroenterology 141, 2218– 2227 e2215 (2011). 21864475
  24. [28]Fox RG Image-based detection and targeting of therapy resistance in pancreatic adenocarcinoma. Nature 534, 407– 411 (2016). 27281208 PMC4998062
  25. [29]Singh A & Settleman J EMT, cancer stem cells and drug resistance: an emerging axis of evil in the war on cancer. Oncogene 29, 4741– 4751 (2010). 20531305 PMC3176718
  26. [31]Ouyang H Immortal human pancreatic duct epithelial cell lines with near normal genotype and phenotype. Am. J. Pathol 157, 1623– 1631 (2000). 11073822 PMC1885733
  27. [35]Robinson MD, McCarthy DJ & Smyth GK edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139– 140 (2010). 19910308 PMC2796818
  28. [37]Dauer DJ Stat3 regulates genes common to both wound healing and cancer. Oncogene 24, 3397– 3408 (2005). 15735721
  29. [38]Rissin DM Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations. Nat. Biotechnol 28, 595– 599 (2010). 20495550 PMC2919230
  30. [39]Villen J & Gygi SP The SCX/IMAC enrichment approach for global phosphorylation analysis by mass spectrometry. Nat. Protoc 3, 1630– 1638 (2008). 18833199 PMC2728452
  31. [40]Boersema PJ, Raijmakers R, Lemeer S, Mohammed S & Heck AJ Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics. Nat. Protoc 4, 484– 494 (2009). 19300442
  32. [41]Tian R Combinatorial proteomic analysis of intercellular signaling applied to the CD28 T-cell costimulatory receptor. Proc. Natl. Acad. Sci. U. S. A 112, E1594– E1603 (2015). 25829543 PMC4386406
  33. [42]Zheng Y Temporal regulation of EGF signalling networks by the scaffold protein Shc1. Nature 499, 166– 171 (2013). 23846654 PMC4931914
  34. [43]Chen W 3D-SISPROT: A simple and integrated spintip-based protein digestion and three-dimensional peptide fractionation technology for deep proteome profiling. J. Chromatogr. A 1498, 207– 214 (2017). 28126229
  35. [44]Zhang H, Li XJ, Martin DB & Aebersold R Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry. Nat. Biotechnol 21, 660– 666 (2003). 12754519
  36. [46]MacLean B Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 26, 966– 968 (2010). 20147306 PMC2844992
  37. [48]Linkert M Metadata matters: access to image data in the real world. J. Cell Biol 189, 777– 782 (2010). 20513764 PMC2878938
  38. [49]Roy N PDX1 dynamically regulates pancreatic ductal adenocarcinoma initiation and maintenance. Genes Dev. 30, 2669– 2683 (2016). 28087712 PMC5238727
  39. [50]Robin X pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12, 77 (2011). 21414208 PMC3068975

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Authors
Shi, Y., Gao, W., Lytle, N. K., Huang, P., Yuan, X., Dann, A. M., Ridinger-Saison, M., DelGiorno, K. E., Antal, C. E., Liang, G., Atkins, A. R., Erikson, G., Sun, H., Meisenhelder, J., Terenziani, E., Woo, G., Fang, L., Santisakultarm, T. P., Manor, U., Xu, R., Becerra, C. R., Borazanci, E., Von Hoff, D. D., Grandgenett, P. M., Hollingsworth, M. A., Leblanc, M., Umetsu, S. E., Collisson, E. A., Scadeng, M., Lowy, A. M., Donahue, T. R., Reya, T., Downes, M., Evans, R. M., Wahl, G. M., Pawson, T., Tian, R., & Hunter, T.
Affiliations
  • Salk Institute for Biological Studies (US)
  • Southern University of Science and Technology (CN)
  • University of California San Diego (US)
  • Hong Kong Baptist University (HK)
  • University of California, Los Angeles (US)
  • ShenZhen People’s Hospital (CN)
  • Baylor University Medical Center (US)
  • Translational Genomics Research Institute (US)
  • Fred and Pamela Buffett Cancer Center (US)
  • University of California, San Francisco (US)
  • Mount Sinai Hospital (CA)
Corresponding author
  • Shi, Yu
  • Tian, Ruijun
  • Hunter, Tony
Venue
Nature
Published
2019-04-17
Volume
569
Issue
7754
Pages
131-135
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2936366750
Cited by
431
References
9
Citations by year
2026: 30 · 2025: 50 · 2024: 62 · 2023: 60 · 2022: 77 · 2021: 76 · 2020: 58 · 2019: 18
FWCI
23.93
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Cancer Institute (R01CA186043, R01CA178015, R01CA155620, F31CA206416, F32CA217033, P50CA127297, R01CA080100, R35CA197687, R01CA082683, R01CA222862, P30CA014195, U01CA210240, P30CA036727, R35CA197699, R50CA211462, R01CA227807)
  • National Institute of General Medical Sciences (T32GM007752)
Topics
  • Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
  • Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
Keywords
pancreatic ductal adenocarcinoma, leukemia inhibitory factor, pancreatic stellate cells, paracrine signaling, tumor microenvironment, tumor stroma, epithelial-mesenchymal transition, tumor cell differentiation, chemoresistance, circulating biomarkers, tumor progression, secretome, tumor response monitoring
MeSH terms
Animals, Antibodies, Monoclonal, Cell Differentiation, Female, Humans, Male, Pancreatic Neoplasms, Mass Spectrometry, Disease Progression, Drug Resistance, Neoplasm, Paracrine Communication, Carcinoma, Pancreatic Ductal, Cell Line, Tumor, Mice, Leukemia Inhibitory Factor, Receptors, OSM-LIF, Epithelial-Mesenchymal Transition, Tumor Microenvironment, Carcinogenesis

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