Cited by 47

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

miR-128 Regulates Tumor Cell CD47 Expression and Promotes Anti-tumor Immunity in Pancreatic Cancer

Xi, Qing, Chen, Ying, Yang, Guang-Ze, Zhang, Jie-You, Zhang, Li-Juan, Guo, Xiang-Dong, Zhao, Jing-Yi, Xue, Zhen-Yi, Li, Yan, Zhang, Rongxin·2020·Frontiers in Immunology

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fimmu.2020.00890

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 miR-128 is related to overall survival of pancreatic adenocarcinoma (PDAC) and inversely correlated with cluster of differentiation 47 (CD47), which is positively related to zinc finger E-box-binding homeobox 1 (ZEB1) in PDAC. The clinical relevance was analyzed using the LinkedOmics database. (A,B) High expression of hsa–mir-128-1 (A, N = 172, p < 0.01) and hsa–mir-128-2 (B, N = 172, p < 0.01) indicates better progression-free survival in patients with PDAC. (C,D) Hsa–mir-128-1 (C, N = 178, R = −0.1851, p < 0.05) and hsa–mir-128-2 (D, N = 178, R = −0.1541, p < 0.05) are inversely related to CD47 in PDAC. (E,F) CD47 is positively related to ZEB1 in PDAC (E, N = 178, R = 0.2578, p < 0.001) and skin cutaneous melanoma (SKCM) (F, N = 103, R = 0.3396, p < 0.001).
Figure 1 miR-128 is related to overall survival of pancreatic adenocarcinoma (PDAC) and inversely correlated with cluster of differentiation 47 (CD47), which is positively related to zinc finger E-box-binding homeobox 1 (ZEB1) in PDAC. The clinical relevance was analyzed using the LinkedOmics database. (A,B) High expression of hsa–mir-128-1 (A, N = 172, p < 0.01) and hsa–mir-128-2 (B, N = 172, p < 0.01) indicates better progression-free survival in patients with PDAC. (C,D) Hsa–mir-128-1 (C, N = 178, R = −0.1851, p < 0.05) and hsa–mir-128-2 (D, N = 178, R = −0.1541, p < 0.05) are inversely related to CD47 in PDAC. (E,F) CD47 is positively related to ZEB1 in PDAC (E, N = 178, R = 0.2578, p < 0.001) and skin cutaneous melanoma (SKCM) (F, N = 103, R = 0.3396, p < 0.001).CC BY · PubMed Central
Figure 2 Overexpression of miR-128 inhibited tumor growth and metastasis in PDAC. To establish the orthotopic mouse model of PDAC, miR-NC/miR-128 stable overexpression Panc02 cells were directly injected into the pancreas of C57BL/6 mice (n = 5/group). (A) A schematic diagram of the mouse model of PDAC. (B) Typical tumor photograph. (C) Tumor volume. (D) Tumor weight. (E) Macroscopic image of liver metastasis. The red arrows point to the metastatic sites. (F) Hematoxylin and eosin (HE) staining of liver metastasis; the areas of metastasis were circled in red. (G) The statistics of liver metastasis. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01.
Figure 2 Overexpression of miR-128 inhibited tumor growth and metastasis in PDAC. To establish the orthotopic mouse model of PDAC, miR-NC/miR-128 stable overexpression Panc02 cells were directly injected into the pancreas of C57BL/6 mice (n = 5/group). (A) A schematic diagram of the mouse model of PDAC. (B) Typical tumor photograph. (C) Tumor volume. (D) Tumor weight. (E) Macroscopic image of liver metastasis. The red arrows point to the metastatic sites. (F) Hematoxylin and eosin (HE) staining of liver metastasis; the areas of metastasis were circled in red. (G) The statistics of liver metastasis. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01.CC BY · PubMed Central
Figure 3 Overexpression of miR-128 enhanced anti-tumor immunity. The tumors and spleens were isolated from in situ pancreas-tumor-bearing mice and stained for flow cytometry analysis. The dendritic cells (DCs) (A,B), macrophages (C,D), CD8+ T cells (E,F), and natural killer T (NKT) cells (G,H) were analyzed by flow cytometry analysis. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01.
Figure 3 Overexpression of miR-128 enhanced anti-tumor immunity. The tumors and spleens were isolated from in situ pancreas-tumor-bearing mice and stained for flow cytometry analysis. The dendritic cells (DCs) (A,B), macrophages (C,D), CD8+ T cells (E,F), and natural killer T (NKT) cells (G,H) were analyzed by flow cytometry analysis. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01.CC BY · PubMed Central
Figure 4 Overexpression of miR-128 in Panc02 cells enhanced the phagocytosis of macrophages and the activity of DCs. miR-NC or miR-128 overexpression Panc02 cells were incubated with mouse bone-marrow-derived macrophages (BMDMs) or peritoneal-cavity-derived macrophages for 4 h, stained with F4/80-APC antibody, and analyzed by flow cytometry. (A,C) Representative plots show the percentage of F4/80+GFP+ macrophages phagocytosing cancer cells among F4/80+ BMDMs and peritoneal-cavity-derived macrophages. (B,D) Statistical analysis of the phagocytosis of cancer cells by both BMDMs and peritoneal-cavity-derived macrophages. MiR-NC or miR-128 overexpression Panc02 cells were incubated with mouse bone-marrow-derived dendritic cells (BMDCs) for 48 h. The expression of costimulatory molecules CD80 (E) and CD86 (F) and antigen peptides MHC-I (G) and MHC-II (H) on DCs were analyzed by flow cytometry. These results represent the mean ± SEM from three independent experiments. Comparisons among three groups were determined by ANOVA. *p < 0.05, **p < 0.01, and ***p < 0.001.
Figure 4 Overexpression of miR-128 in Panc02 cells enhanced the phagocytosis of macrophages and the activity of DCs. miR-NC or miR-128 overexpression Panc02 cells were incubated with mouse bone-marrow-derived macrophages (BMDMs) or peritoneal-cavity-derived macrophages for 4 h, stained with F4/80-APC antibody, and analyzed by flow cytometry. (A,C) Representative plots show the percentage of F4/80+GFP+ macrophages phagocytosing cancer cells among F4/80+ BMDMs and peritoneal-cavity-derived macrophages. (B,D) Statistical analysis of the phagocytosis of cancer cells by both BMDMs and peritoneal-cavity-derived macrophages. MiR-NC or miR-128 overexpression Panc02 cells were incubated with mouse bone-marrow-derived dendritic cells (BMDCs) for 48 h. The expression of costimulatory molecules CD80 (E) and CD86 (F) and antigen peptides MHC-I (G) and MHC-II (H) on DCs were analyzed by flow cytometry. These results represent the mean ± SEM from three independent experiments. Comparisons among three groups were determined by ANOVA. *p < 0.05, **p < 0.01, and ***p < 0.001.CC BY · PubMed Central
Figure 5 MiR-128 inhibited the cell proliferation, migration, and invasion of PDAC cells. (A) Cell Counting Kit-8 (CCK-8) assay: the proliferation of miR-128 lentivirus-infected cells was lower than that of the control group at 24 and 48 h. (B) Clonogenicity assays: the miR-128 lentivirus-infected cells had a significantly lower survival rate than the control cells. (C,D) Wound healing assay: the migration of miR-128 lentivirus-infected cells was slower than that of the control cells. (E,F) Transwell assay: the percentage of cells that invaded through the Matrigel was lower in miR-128 lentivirus-infected cells than in the control cells. (G,H) The expression of genes associated with epithelial–mesenchymal transition (EMT) after mimic transfection and lentivirus infection. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. ***p < 0.001.
Figure 5 MiR-128 inhibited the cell proliferation, migration, and invasion of PDAC cells. (A) Cell Counting Kit-8 (CCK-8) assay: the proliferation of miR-128 lentivirus-infected cells was lower than that of the control group at 24 and 48 h. (B) Clonogenicity assays: the miR-128 lentivirus-infected cells had a significantly lower survival rate than the control cells. (C,D) Wound healing assay: the migration of miR-128 lentivirus-infected cells was slower than that of the control cells. (E,F) Transwell assay: the percentage of cells that invaded through the Matrigel was lower in miR-128 lentivirus-infected cells than in the control cells. (G,H) The expression of genes associated with epithelial–mesenchymal transition (EMT) after mimic transfection and lentivirus infection. The results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. ***p < 0.001.CC BY · PubMed Central
Figure 6 miR-128 promotes anti-tumor immunity through the ZEB1/CD47 axis. (A,B) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected Panc02 cells. (C,D) The expression of CD47 and ZEB1 were downregulated in miR-128 lentivirus-infected Panc02 cells. (E,F) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected H7 cells. (G,H) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected PANC1 cells. (I,J) The expression of ZEB1, miR-128, and CD47 in ZEB1 knockdown Panc02 cells. (K) A schematic of the molecular mechanism by which miR-128 causes tumor regression. These results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01, and ***p < 0.001.
Figure 6 miR-128 promotes anti-tumor immunity through the ZEB1/CD47 axis. (A,B) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected Panc02 cells. (C,D) The expression of CD47 and ZEB1 were downregulated in miR-128 lentivirus-infected Panc02 cells. (E,F) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected H7 cells. (G,H) The expression of CD47 and ZEB1 were downregulated in miR-128 mimic-transfected PANC1 cells. (I,J) The expression of ZEB1, miR-128, and CD47 in ZEB1 knockdown Panc02 cells. (K) A schematic of the molecular mechanism by which miR-128 causes tumor regression. These results represent the mean ± SEM from three independent experiments. Comparisons between groups were determined by Student's t-test. *p < 0.05, **p < 0.01, and ***p < 0.001.CC BY · PubMed Central

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Show all 3 references

Research works printed but not linked: 44

  1. Kleeff, 2016, Pancreatic cancer, Nat Rev Dis Primers., 2, 16022, 10.1038/nrdp.2016.22 · DOI · Paper page
  2. Siegel, 2017, Cancer statistics, 2017, CA Cancer J Clin., 67, 7, 10.3322/caac.21387 · DOI · Paper page
  3. Rahib, 2014, Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States, Cancer Res., 74, 2913, 10.1158/0008-5472.CAN-14-0155 · DOI · Paper page
  4. Sharma, 2015, The future of immune checkpoint therapy, Science., 348, 56, 10.1126/science.aaa8172 · DOI · Paper page
  5. Brown, 2001, Integrin-associated protein (CD47) and its ligands, Trends Cell Biol., 11, 130, 10.1016/S0962-8924(00)01906-1 · DOI
  6. Jaiswal, 2009, CD47 is upregulated on circulating hematopoietic stem cells and leukemia cells to avoid phagocytosis, Cell., 138, 271, 10.1016/j.cell.2009.05.046 · DOI
  7. Willingham, 2012, The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors, Proc Natl Acad Sci U S A., 109, 6662, 10.1073/pnas.1121623109 · DOI
  8. Michaels, 2018, CD47 blockade as an adjuvant immunotherapy for resectable pancreatic cancer, Clin Cancer Res., 24, 1415, 10.1158/1078-0432.CCR-17-2283 · DOI
  9. Murata, 2018, CD47-signal regulatory protein α signaling system and its application to cancer immunotherapy, Cancer Sci., 109, 2349, 10.1111/cas.13663 · DOI
  10. Matlung, 2017, The CD47-SIRPα signaling axis as an innate immune checkpoint in cancer, Immunol Rev., 276, 145, 10.1111/imr.12527 · DOI
  11. Weiskopf, 2017, Cancer immunotherapy targeting the CD47/SIRPα axis, Eur J Cancer., 76, 100, 10.1016/j.ejca.2017.02.013 · DOI
  12. Liu, 2015, CD47 blockade triggers T cell-mediated destruction of immunogenic tumors, Nat Med., 21, 1209, 10.1038/nm.3931 · DOI
  13. Nieto, 2016, EMT: 2016, Cell., 166, 21, 10.1016/j.cell.2016.06.028 · DOI · Paper page
  14. Puisieux, 2014, Oncogenic roles of EMT-inducing transcription factors, Nat Cell Biol., 16, 488, 10.1038/ncb2976 · DOI
  15. Caramel, 2018, Pleiotropic roles for ZEB1 in cancer, Cancer Res., 78, 30, 10.1158/0008-5472.CAN-17-2476 · DOI
  16. Krebs, 2017, The EMT-activator Zeb1 is a key factor for cell plasticity and promotes metastasis in pancreatic cancer, Nat Cell Biol., 19, 518, 10.1038/ncb3513 · DOI
  17. Noman, 2018, CD47 is a direct target of SNAI1 and ZEB1 and its blockade activates the phagocytosis of breast cancer cells undergoing EMT, Oncoimmunology, 7, e1345415, 10.1080/2162402X.2017.1345415 · DOI
  18. Yang, 2015, miR-192 suppresses leptomeningeal dissemination of medulloblastoma by modulating cell proliferation and anchoring through the regulation of DHFR. integrins, and CD47, Oncotarget., 6, 43712, 10.18632/oncotarget.6227 · DOI
  19. Huang, 2018, MIR-708 promotes phagocytosis to eradicate T-ALL cells by targeting CD47, Mol Cancer., 17, 12, 10.1186/s12943-018-0768-2 · DOI
  20. Bruno, 2011, Identification of a microRNA that activates gene expression by repressing nonsense-mediated RNA decay, Mol Cell., 42, 500, 10.1016/j.molcel.2011.04.018 · DOI
  21. Hsu, 2006, miRNAMap: genomic maps of microRNA genes and their target genes in mammalian genomes, Nucleic Acids Res., 34, D135, 10.1093/nar/gkj135 · DOI
  22. Woo, 2012, Regulation of colony stimulating factor-1 expression and ovarian cancer cell behavior in vitro by miR-128 and miR-152, Mol Cancer., 11, 58, 10.1186/1476-4598-11-58 · DOI
  23. Lu, 2017, Posttranscriptional regulation of Galectin-3 by miR-128 contributes to colorectal cancer progression, Oncotarget, 8, 15242, 10.18632/oncotarget.14839 · DOI
  24. Xiao, 2018, MiR-128 regulation of glucose metabolism and cell proliferation in triple-negative breast cancer, BJS., 105, 75, 10.1002/bjs.10646 · DOI
  25. Corbett, 1984, Induction and chemotherapeutic response of two transplantable ductal adenocarcinomas of the pancreas in C57BL/6 mice, Cancer Res., 44, 717
  26. Vasaikar, 2018, LinkedOmics: analyzing multi-omics data within and across 32 cancer types, Nucleic Acids Res, 46, D956, 10.1093/nar/gkx1090 · DOI
  27. Subramani, 2015, Emerging roles of microRNAs in pancreatic cancer diagnosis, therapy and prognosis (Review), Int J Oncol., 47, 1203, 10.3892/ijo.2015.3129 · DOI
  28. Li, 2016, MicroRNA targeted therapeutic approach for pancreatic cancer, Int J Biol Sci., 12, 326, 10.7150/ijbs.15017 · DOI
  29. Frampton, 2015, Integrated molecular analysis to investigate the role of microRNAs in pancreatic tumour growth and progression, Lancet., 385, S37, 10.1016/S0140-6736(15)60352-X · DOI
  30. Sharpe, 2017, Introduction to checkpoint inhibitors and cancer immunotherapy, Immunol Rev., 276, 5, 10.1111/imr.12531 · DOI
  31. Cioffi, 2017, The miR-25-93-106b cluster regulates tumor metastasis and immune evasion via modulation of CXCL12 and PD-L1, Oncotarget., 8, 21609, 10.18632/oncotarget.15450 · DOI
  32. Mari, 2018, microRNA 125a regulates MHC-I expression on esophageal adenocarcinoma cells, associated with suppression of antitumor immune response and poor outcomes of patients, Gastroenterology., 155, 784, 10.1053/j.gastro.2018.06.030 · DOI
  33. Zhao, 2011, CD47-signal regulatory protein-α (SIRPα) interactions form a barrier for antibody-mediated tumor cell destruction, Proc Natl Acad Sci U S A., 108, 18342, 10.1073/pnas.1106550108 · DOI
  34. Liu, 2015, Pre-clinical development of a humanized anti-CD47 antibody with anti-cancer therapeutic potential, PLoS One., 10, e0137345, 10.1371/journal.pone.0137345 · DOI
  35. Brabletz, 2010, The ZEB/miR-200 feedback loop–a motor of cellular plasticity in development and cancer?, EMBO Rep., 11, 670, 10.1038/embor.2010.117 · DOI
  36. Vandewalle, 2009, The role of the ZEB family of transcription factors in development and disease, Cell Mol Life Sci., 66, 773, 10.1007/s00018-008-8465-8 · DOI
  37. Burk, 2008, A reciprocal repression between ZEB1 and members of the miR-200 family promotes EMT and invasion in cancer cells, EMBO Rep., 9, 582, 10.1038/embor.2008.74 · DOI
  38. Sun, 2015, miR-128 modulates chemosensitivity and invasion of prostate cancer cells through targeting ZEB1, Jpn J Clin Oncol., 45, 474, 10.1093/jjco/hyv027 · DOI
  39. Zhao, 2018, Tumor suppressor miR-128-3p inhibits metastasis and epithelial-mesenchymal transition by targeting ZEB1 in esophageal squamous-cell cancer, Acta Biochim Biophys Sin., 50, 171, 10.1093/abbs/gmx132 · DOI
  40. Xu, 2017, Dendritic cells but not macrophages sense tumor mitochondrial DNA for cross-priming through signal regulatory protein α signaling, Immunity., 47, 363, 10.1016/j.immuni.2017.07.016 · DOI
  41. Terabe, 2008, The role of NKT cells in tumor immunity, Adv Cancer Res., 101, 277, 10.1016/S0065-230X(08)00408-9 · DOI
  42. Bendelac, 2007, The biology of NKT cells, Annu Rev Immunol., 25, 297, 10.1146/annurev.immunol.25.022106.141711 · DOI
  43. Brennan, 2013, Invariant natural killer T cells: an innate activation scheme linked to diverse effector functions, Nat Rev Immunol., 13, 101, 10.1038/nri3369 · DOI
  44. Brigl, 2003, Mechanism of CD1d-restricted natural killer T cell activation during microbial infection, Nat Immunol., 4, 1230, 10.1038/ni1002 · DOI

Cited by

Sorted by citations

Metadata

Authors
Xi, Q., Chen, Y., Yang, G.-Z., Zhang, J.-Y., Zhang, L.-J., Guo, X.-D., Zhao, J.-Y., Xue, Z.-Y., Li, Y., & Zhang, R.
Venue
Frontiers in Immunology
Published
2020-05-27
Volume
11
ISSN
1664-3224
Cited by
47
References
3
Funders
National Natural Science Foundation of China

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