Volume 151, Issue 2, Pages e12 (August 2016)

Slides:



Advertisements
Similar presentations
Cell Physiol Biochem 2013;32: DOI: /
Advertisements

Aldehyde Dehydrogenase 1A1 Possesses Stem-Like Properties and Predicts Lung Cancer Patient Outcome  Xiao Li, MD, Liyan Wan, MD, Jian Geng, MD, Chin-Lee.
Volume 141, Issue 5, Pages e1 (November 2011)
Volume 145, Issue 4, Pages e2 (October 2013)
Elevated FOXC2 Expression Promotes Invasion of HCC Cell Lines and is Associated with Poor Prognosis in Hepatocellular Carcinoma Cell Physiol Biochem 2017;44:99–109.
Volume 146, Issue 5, Pages (May 2014)
Cyclin-Dependent Kinase 2 Promotes Tumor Proliferation and Induces Radio Resistance in Glioblastoma  Jia Wang, Tong Yang, Gaofeng Xu, Hao Liu, Chunying.
Volume 143, Issue 5, Pages (November 2012)
Volume 144, Issue 3, Pages e4 (March 2013)
Volume 145, Issue 2, Pages (August 2013)
Volume 152, Issue 5, Pages (April 2017)
Volume 145, Issue 4, Pages e9 (October 2013)
Volume 143, Issue 3, Pages e2 (September 2012)
Volume 143, Issue 3, Pages e15 (September 2012)
Volume 133, Issue 2, Pages (August 2007)
Volume 140, Issue 2, Pages e2 (February 2011)
Volume 135, Issue 4, Pages (October 2008)
Volume 136, Issue 3, Pages e4 (March 2009)
Sarah A. Best, Amy N. Nwaobasi, Chrysalyne D. Schmults, Matthew R
Volume 136, Issue 2, Pages e1 (February 2009)
Volume 137, Issue 2, Pages e2 (August 2009)
MicroRNA-489 Plays an Anti-Metastatic Role in Human Hepatocellular Carcinoma by Targeting Matrix Metalloproteinase-7  Yixiong Lin, Jianjun Liu, Yuqi Huang,
Volume 141, Issue 5, Pages e1 (November 2011)
Volume 137, Issue 2, Pages (August 2009)
Volume 145, Issue 4, Pages e9 (October 2013)
Volume 143, Issue 5, Pages (November 2012)
Volume 54, Issue 4, Pages (October 2008)
Volume 151, Issue 2, Pages (August 2016)
Modulation of K-Ras-Dependent Lung Tumorigenesis by MicroRNA-21
Volume 130, Issue 7, Pages (June 2006)
Volume 146, Issue 7, Pages e5 (June 2014)
Epigenetic Inhibition of Nuclear Receptor Small Heterodimer Partner Is Associated With and Regulates Hepatocellular Carcinoma Growth  Nan He, Kyungtae.
Sarah A. Best, Amy N. Nwaobasi, Chrysalyne D. Schmults, Matthew R
Volume 142, Issue 4, Pages e12 (April 2012)
Teruaki Fujishita, Masahiro Aoki, Makoto M. Taketo  Gastroenterology 
Volume 133, Issue 5, Pages (November 2007)
Volume 145, Issue 4, Pages e2 (October 2013)
Volume 134, Issue 1, Pages (January 2008)
Volume 140, Issue 1, Pages e2 (January 2011)
Aldehyde Dehydrogenase 1A1 Possesses Stem-Like Properties and Predicts Lung Cancer Patient Outcome  Xiao Li, MD, Liyan Wan, MD, Jian Geng, MD, Chin-Lee.
Volume 144, Issue 5, Pages e1 (May 2013)
Volume 140, Issue 1, Pages (January 2011)
Fig. 6. Combinatorial VCPI and OV M1 treatment is efficacious in vivo and ex vivo. Combinatorial VCPI and OV M1 treatment is efficacious in vivo and ex.
Volume 136, Issue 2, Pages (February 2009)
Toll-Like Receptor 5 Engagement Modulates Tumor Development and Growth in a Mouse Xenograft Model of Human Colon Cancer  Sang Hoon Rhee, Eunok Im, Charalabos.
Volume 146, Issue 5, Pages (May 2014)
Volume 138, Issue 2, Pages e2 (February 2010)
Volume 143, Issue 6, Pages e5 (December 2012)
Volume 135, Issue 1, Pages (July 2008)
Volume 146, Issue 1, Pages e35 (January 2014)
Volume 138, Issue 5, Pages e2 (May 2010)
Volume 19, Issue 2, Pages (February 2011)
Volume 140, Issue 3, Pages e8 (March 2011)
The Hematopoietic Stem Cell Regulatory Gene Latexin Has Tumor-Suppressive Properties in Malignant Melanoma  Viswanathan Muthusamy, Sanjay Premi, Cara.
Volume 141, Issue 6, Pages e5 (December 2011)
Volume 152, Issue 5, Pages e1 (April 2017)
Volume 145, Issue 2, Pages (August 2013)
Volume 142, Issue 7, Pages e2 (June 2012)
Inhibition of KLF4 by Statins Reverses Adriamycin-Induced Metastasis and Cancer Stemness in Osteosarcoma Cells  Yangling Li, Miao Xian, Bo Yang, Meidan.
Volume 156, Issue 4, Pages e8 (March 2019)
Integrative Functional Genomics Implicates EPB41 Dysregulation in Hepatocellular Carcinoma Risk  Xinyu Yang, Dianke Yu, Yanli Ren, Jinyu Wei, Wenting.
MiR-135b Stimulates Osteosarcoma Recurrence and Lung Metastasis via Notch and Wnt/β-Catenin Signaling  Hua Jin, Song Luo, Yun Wang, Chang Liu, Zhenghao.
miR-124 Inhibits Lung Tumorigenesis Induced by K-ras Mutation and NNK
Fig. 8 SQLE inhibitor terbinafine suppresses NAFLD-HCC growth in vitro and in vivo. SQLE inhibitor terbinafine suppresses NAFLD-HCC growth in vitro and.
Volume 132, Issue 4, Pages (April 2007)
Volume 19, Issue 8, Pages (August 2011)
Volume 127, Issue 4, Pages (October 2004)
Volume 18, Issue 3, Pages (March 2010)
Fig. 6. Combinatorial VCPI and OV M1 treatment is efficacious in vivo and ex vivo. Combinatorial VCPI and OV M1 treatment is efficacious in vivo and ex.
This Month in Gastroenterology
Presentation transcript:

Volume 151, Issue 2, Pages 324-337.e12 (August 2016) Two-Step Forward Genetic Screen in Mice Identifies Ral GTPase-Activating Proteins as Suppressors of Hepatocellular Carcinoma  Takahiro Kodama, Emilie A. Bard-Chapeau, Justin Y. Newberg, Michiko Kodama, Roberto Rangel, Kosuke Yoshihara, Jerrold M. Ward, Nancy A. Jenkins, Neal G. Copeland  Gastroenterology  Volume 151, Issue 2, Pages 324-337.e12 (August 2016) DOI: 10.1053/j.gastro.2016.04.040 Copyright © 2016 AGA Institute Terms and Conditions

Figure 1 A whole-genome comprehensive catalogue of HCC CCGs. (A) Photograph showing the liver tumors found in a Liver-Onc3/HBsAg mouse. (B) Kaplan–Meier survival curves for male (left) and female (right) Liver-Onc3/HBsAg (SB/HBV), Liver-Onc3 (SB), HBsAg transgene (HBV), and control without active SB or HBV (Control) mice. The median survival for male Liver-Onc3/HBsAg mice was 56.4 weeks vs 85.4 weeks for Liver-Onc3 mice, and 100.0 weeks for HBsAg mice (log-rank test, P < 10−4). The median survival time for female Liver-Onc3/HBsAg mice was 92.0 weeks vs 100.9 weeks for HBsAg mice (log-rank test, P < 10−4). (C) Histopathologic analysis of liver tumors showed that the frequency of HCC was higher in Liver-Onc3 and Liver-Onc3/HBsAg mice compared with HBsAg mice and control mice. The overall penetrance of liver tumors (both hepatocellular adenoma [HCA] and HCC) was 100% in liver-Onc3/HBsAg and liver-Onc3 mice. (D) Trunk driver genes commonly identified in Liver-SB/HBsAg (Onc2 + Onc3) and Liver-SB mice (Onc2 + Onc3) mice. Transposon insertion sites represented by the highest sequencing read proportions (>4.5%) were selected and 62 trunk drivers common to both data sets were identified. The top 20 trunk driver genes are shown. (E) Insertion maps showing the location of transposon insertions in Rian (top), Hras (middle), or Kras (bottom) in Liver-SB/HBsAg (Onc2 + Onc3) mice and Liver-SB (Onc2 + Onc3) mice. Insertions represented by the highest read proportions (>4.5%) are shown. Each arrowhead indicates a single transposon insertion event. Red arrowheads and blue arrowheads indicate transposons inserted in the sense or antisense orientation, respectively. (F) Diagram showing our 2-step forward genetic screen approach. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Figure 2 Acaa2, Hbs1l, and Ubr2 are TSGs in mouse and human liver. (A) SNU-398 (left) or Huh-7 (right) cells were lentivirally transduced with negative control (NC) shRNA or ACAA2 shRNA and subcutaneously injected into nude mice. Tumor volumes were measured at various different times after injection of 2.0 × 106 SNU-398 cells (N = 8 each; *P < .05) (left) or 2.0 × 106 Huh-7 cells (N = 4 for NC shRNA and 8 for ACAA2 shRNA; *P < .05) (right). (B) SNU-398 (left) or PLC/PRF/5 (right) cells were lentivirally transduced with NC shRNA or HBS1L shRNA and subcutaneously injected into nude mice. Tumor volumes were measured at various different times after injection of 2.0 × 106 SNU-398 cells (N = 16 for NC shRNA and 19 for HBS1L shRNA; *P < .05) (left) or 2.0 × 106 PLC/PRF/5 cells (N = 8 each; *P < .05) (right). (C) SNU-398 (left) or Huh-7 (right) cells were lentivirally transduced with NC shRNA or UBR2 shRNA. Tumor volumes were measured at various different times after injection of 2.0 × 106 SNU-398 cells (N = 19 for NC shRNA and 9 for UBR2 shRNA; *P < .05) (left) or 2.0 × 106 Huh-7 cells (N = 20 each; *P < .05) (right). (D–F) mRNA abundance of (D) ACAA2, (E) HBS1L, and (F) UBR2 in tumor or adjacent nontumor (NT) tissues from 372 human HCC samples including patients with the following etiologic factors (78 HBV, 32 HCV, 69 alcohol, and 93 none) registered in the TCGA database portal (*P < 0.05 vs all). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Figure 3 RalGAPs are potent liver tumor suppressors through their suppression of the oncogenic Ral pathway. (A) SNU-398 (left), Huh-7 (center), or Hep3B (right) cells were lentivirally transduced with negative control (NC) shRNA or RALGAPA2 shRNA and the transduced cells were injected subcutaneously into nude mice. Tumor volumes were measured at various different times after injection of 1.5 × 106 SNU-398 cells (N = 8 each; *P < .05) (left), 2.0 × 106 Huh-7 cells (N = 8 each; *P < .05) (center), or 2.5 × 106 Hep3B cells (N = 10 each; *P < .05) (right). (B) Heat map showing the existence of transposon insertions in Ralgapa1, Ralgapa2, and Ralgapb in 480 tumors generated in Liver-SB/HBV (Onc2 + Onc3) and Liver-SB (Onc2 + Onc3) mice. (C) SNU-398 cells were transfected with NC siRNA or RALGAPA1 siRNA (left) or RALGAPB siRNA (right). Cell proliferation was assessed by WST-1 assay (N = 4 for RALGAPA1 siRNA and RALGAPB siRNA and N = 8 for NC siRNA; *P < .05 vs NC siRNA). (D) SNU-398 cells were lentivirally transduced with NC shRNA or RALGAPA1 shRNA (top) or RALGAPB shRNA (bottom) and the transduced cells were injected subcutaneously into nude mice. Tumor volumes were measured at various different times after injection of 2.0 × 106 SNU-398 cells containing RALGAPA1 shRNA (N = 8 each; *P < .05) (top) or RALGAPB shRNA (N = 9 each; *P < .05) (bottom). (E) One day after transfection of NC siRNA or RALGAPA2 siRNA, SNU-398 cells were treated with vehicle or 10 μmol/L RBC8 for 3 more days. Cell proliferation then was assessed by WST-1 assay (N = 4 each; *P < .05 vs all). (F) SNU-398 cells were lentivirally transduced with NC shRNA or RALGAPA2 shRNA and/or RALA and RALB shRNAs. Tumor volumes were measured at various different times after injection of 2.0 × 106 SNU-398 cells (N = 7 each; *P < .05 vs all 3 cohorts). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Figure 4 Dual inhibition of the Ral and Raf pathways synergistically suppresses HCC cell proliferation in vitro and completely inhibits tumor growth in vivo. (A) Diagram of Ras signaling pathways and their inhibitors used in this study. (B) WST-1 assay of SNU-398 (left), Hep3B (center), and PLC/PRF/5 (right) cells after treatment with sorafenib (2 μmol/L for SNU-398 and Hep3B and 4 μmol/L for PLC/PRF/5) and/or 10 μmol/L of RBC8 for 72 hours (N = 4 each; *P < .05 vs all). (C) Cell counts of SNU-398 (left), Hep3B (center), and PLC/PRF/5 (right) cells after treatment with sorafenib (2 μmol/L for SNU-398 and Hep3B and 4 μmol/L for PLC/PRF/5) and/or 10 μmol/L of RBC8 at the indicated time courses (N = 3 each; *P < .05 vs all). (D) Clonogenic assay of SNU-398 (top), Hep3B (middle), and PLC/PRF/5 (bottom) cells after treatment with sorafenib (2 μmol/L for SNU-398 and Hep3B and 4 μmol/L for PLC/PRF/5) and/or 10 μmol/L of RBC8 for 72 hours. (E) WST-1 assay of SNU-387 (left), SNU-449 (center), and SNU-475 (right) cells after treatment with 4 μmol/L of sorafenib and/or 10 μmol/L of RBC8 for 72 hours (N = 4 each; *P < .05 vs all). (F) SNU-398 cells (2.0 × 106) were injected subcutaneously into nude mice. Once xenograft tumor volumes reached 100 mm3 (6 days after injection), mice were assigned randomly into 4 groups: control, RBC8, sorafenib, or RBC8+sorafenib. Mice then were treated with oral gavage of 50 mg/kg RBC8 and/or intraperitoneal injection of 50 mg/kg sorafenib 5 days a week for 12 days. Xenograft tumor volumes then were measured at different times after the initiation of treatment (N = 4 for RBC8+sorafenib and 3 for all other cohorts; *P < .05 vs all). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 1 (A–I) Kaplan–Meier plot of patient survival based on mRNA abundance in tumor tissue of 221 human HCC samples (GSE14520). Statistical analysis was performed using the log-rank test. (A) ACCA2, (B) ALDH2, (C) DMXL1, (D) HBS1L, (E) KIF1B, (F) STK11, (G) UBR2, (H) ZBTB20, and (I) ZCCHC6. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 2 (A–H) WST-1 assay results of individual siRNA oligos targeting Acaa2 in (A) SNU-398 cells and (B) Huh-7 cells, (C) Hbs1l in SNU-398 cells, and (D) PLC/PRF/5 cells, Ralgapa2 in (E) SNU-398 cells and (F) Huh-7 cells, and Ubr2 in (G) SNU-398 cells and (H) Huh-7 cells (*P < .05 vs negative control [NC] siRNA; N = 4). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 3 (A–D) Mouse progenitor IFLCs were transduced lentivirally with negative control (NC) shRNA (A) or Acaa2 shRNA, (B) Hbs1l shRNA, (C) Ralgapa2 shRNA, or (D) Ubr2 shRNA. Transduced cells then were injected subcutaneously into nude mice and the mice were monitored for tumor formation. Tumor volumes were measured at different times after subcutaneous injection of 1.0 × 106 IFLCs (A) (N = 4) or (B–D) (N = 10). (E and F) mRNA expression levels of ACAA2 were determined by quantitative PCR after transduction with NC shRNA or ACAA2 shRNA in (E) SNU-398 or (F) Huh-7 cells (N = 4; *P < .05). (G) Protein expression levels of ACAA2 were determined by Western blot (WB) after transduction with NC shRNA or ACAA2 shRNA in SNU-398 or Huh-7 cells. (H and I) mRNA expression levels of HBS1L were determined by quantitative PCR after transduction with NC shRNA or HBS1L shRNA in (H) SNU-398 or (I) PLC/PRF/5 cells (N = 4; *P < .05). (J) Protein expression levels of HBS1L were determined by WB after transduction with NC shRNA or HBS1L shRNA in SNU-398 or PLC/PRF/5 cells. (K and L) mRNA expression levels of UBR2 were determined by quantitative PCR after transduction with NC shRNA or UBR2 shRNA in (K) SNU-398 or (L) Huh-7 cells (N = 4; *P < .05). (M) Protein expression levels of UBR2 were determined by WB after transduction with NC shRNA or UBR2 shRNA in SNU-398 or Huh-7 cells. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 4 (A–F) The relative expression level of RALGAPA2 was measured by quantitative PCR in (A and D) SNU-398, (B and E) Huh-7, or (C and F) Hep3B cells (N = 4; *P < .05) after lentiviral transduction with negative control (NC) shRNA or RALGAPA2 shRNAs. (G) Protein expression levels of RALGAPA2 were determined by Western blot (WB) after transduction with NC shRNA or RALGAPA2 shRNA in SNU-398, Huh-7, or Hep3B cells. (H) SNU-398, (I) Huh-7, or (J) Hep3B cells were transduced lentivirally with NC shRNA or RALGAPA2 shRNA. Transduced cells were injected subcutaneously into nude mice and tumor growth was measured at different times after subcutaneous injection of (H) 1.5 × 106 SNU-398 cells (N = 8 for NC shRNA and N = 10 for RALGAPA2 shRNA; *P < .05); (I) 2.0 × 106 Huh-7 cells (N = 8; *P < .05); or (J) 2.5 × 106 Hep3B cells (N = 10; *P < .05). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 5 (A) mRNA expression level of RALGAPA1 was determined by quantitative PCR after lentiviral transduction of SNU-398 cells with negative control (NC) shRNA or RALGAPA1 shRNA (N = 4; *P < .05). (B) Protein expression levels of RALGAPA1 were determined by Western blot (WB) after transduction with NC shRNA or RALGAPA1 shRNA in SNU-398 cells. (C) mRNA expression level of RALGAPB was determined by quantitative PCR after lentiviral transduction of SNU-398 cells with NC shRNA or RALGAPB shRNA (N = 4; *P < .05). (D) Protein expression levels of RALGAPB were determined by WB after transduction with NC shRNA or RALGAPB shRNA in SNU-398 cells. (E) mRNA expression level of RALGAPA2, RALA, or RALB in SNU-398 cells was determined by quantitative PCR after lentiviral transduction with shRNAs targeting each of these genes (N = 4; *P < .05 vs NC shRNA). (F) Protein expression level of RALGAPA2, RALA, or RALB in SNU-398 cells was determined by WB after lentiviral transduction with shRNAs targeting each of these genes. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 6 Protein expression level of Ras downstream pathways was determined by Western blot (WB) after treatment with 2 μmol/L sorafenib and/or 10 μmol/L of RBC8 for 24 hours. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 7 WST-1 assay of (A) SNU-398 and (B) Hep3B cells after treatment with 2 μmol/L sorafenib and different dosages of RBC8 for 72 hours (N = 3 or N = 4 each; *P < .05 vs all). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 8 (A) Gene ontology analysis of 1917 high-confidence CCGs determined for PANTHER GO-Slim Biological Processes. P values for enrichment are represented on a -log scale. The numbers next to each bar indicate the number of CCGs found associated with each biological process. (B) Gene ontology analysis of 27 TSGs validated by shRNA library screening determined for PANTHER GO-Slim Biological Processes. Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions

Supplementary Figure 9 (A–C) mRNA abundance of (A) RALGAPA2, (B) RALGAPA1, or (C) RALGAPB in tumor or adjacent nontumor (NT) tissues from 372 human HCC samples, including patients with the following etiologic factors: 78 HBV, 32 HCV, 69 alcohol, and 93 none, registered in the TCGA database portal (*P < .05 vs all). Gastroenterology 2016 151, 324-337.e12DOI: (10.1053/j.gastro.2016.04.040) Copyright © 2016 AGA Institute Terms and Conditions