Genomic testing, tumor microenvironment and targeted therapy of Hedgehog-related human cancers.

Hedgehog signals are transduced through Patched receptors to the Smoothened (SMO)-SUFU-GLI and SMO-Gi-RhoA signaling cascades. MTOR-S6K1 and MEK-ERK signals are also transduced to GLI activators through post-translational modifications. The GLI transcription network up-regulates target genes, such as BCL2, FOXA2, FOXE1, FOXF1, FOXL1, FOXM1, GLI1, HHIP, PTCH1 and WNT2B, in a cellular context-dependent manner. Aberrant Hedgehog signaling in tumor cells leads to self-renewal, survival, proliferation and invasion. Paracrine Hedgehog signaling in the tumor microenvironment (TME), which harbors cancer-associated fibroblasts, leads to angiogenesis, fibrosis, immune evasion and neuropathic pain. Hedgehog-related genetic alterations occur frequently in basal cell carcinoma (BCC) (85%) and Sonic Hedgehog (SHH)-subgroup medulloblastoma (87%) and less frequently in breast cancer, colorectal cancer, gastric cancer, pancreatic cancer, non-small-cell lung cancer (NSCLC) and ovarian cancer. Among investigational SMO inhibitors, vismodegib and sonidegib are approved for the treatment of patients with BCC, and glasdegib is approved for the treatment of patients with acute myeloid leukemia (AML). Resistance to SMO inhibitors is caused by acquired SMO mutations, SUFU deletions, GLI2 amplification, other by-passing mechanisms of GLI activation and WNT/ß-catenin signaling activation. GLI-DNA-interaction inhibitors (glabrescione B and GANT61), GLI2 destabilizers (arsenic trioxide and pirfenidone) and a GLI-deacetylation inhibitor (4SC-202) were shown to block GLI-dependent transcription and tumorigenesis in preclinical studies. By contrast, SMO inhibitors can remodel the immunosuppressive TME that is dominated by M2-like tumor-associated macrophages (M2-TAMs), myeloid-derived suppressor cells and regulatory T cells, and thus, a Phase I/II clinical trial of the immune checkpoint inhibitor pembrolizumab with or without vismodegib in BCC patients is ongoing.

Mechanistic Investigation of Catalyst-Transfer Suzuki-Miyaura Condensation Polymerization of Thiophene-Pyridine Biaryl Monomers with the Aid of Model Reactions.

We have investigated the requirements for efficient Pd-catalyzed Suzuki-Miyaura catalyst-transfer condensation polymerization (Pd-CTCP) reactions of 2-alkoxypropyl-6-(5-bromothiophen-2-yl)-3-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)pyridine (12) as a donor-acceptor (D-A) biaryl monomer. As model reactions, we first carried out the Suzuki-Miyaura coupling reaction of X-Py-Th-X' (Th=thiophene, Py=pyridine, X, X'=Br or I) 1 with phenylboronic acid ester 2 by using tBu3 PPd0 as the catalyst. Monosubstitution with a phenyl group at Th-I mainly took place in the reaction of Br-Py-Th-I (1 b) with 2, whereas disubstitution selectively occurred in the reaction of I-Py-Th-Br (1 c) with 2, indicating that the Pd catalyst is intramolecularly transferred from acceptor Py to donor Th. Therefore, we synthesized monomer 12 by introduction of a boronate moiety and bromine into Py and Th, respectively. However, examination of the relationship between monomer conversion and the Mn of the obtained polymer, as well as the matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectra, indicated that Suzuki-Miyaura coupling polymerization of 12 with (o-tolyl)tBu3 PPdBr initiator 13 proceeded in a step-growth polymerization manner through intermolecular transfer of the Pd catalyst. To understand the discrepancy between the model reactions and polymerization reaction, Suzuki-Miyaura coupling reactions of 1 c with thiopheneboronic acid ester instead of 2 were carried out. This resulted in a decrease of the disubstitution product. Therefore, step-growth polymerization appears to be due to intermolecular transfer of the Pd catalyst from Th after reductive elimination of the Th-Pd-Py complex formed by transmetalation of polymer Th-Br with (Pin)B-Py-Th-Br monomer 12 (Pin=pinacol). Catalysts with similar stabilization energies of metal-arene η2 -coordination for D and A monomers may be needed for CTCP reactions of biaryl D-A monomers.

Functional proteomics of the epigenetic regulators ASXL1, ASXL2 and ASXL3: a convergence of proteomics and epigenetics for translational medicine.

ASXL1, ASXL2 and ASXL3 are epigenetic scaffolds for BAP1, EZH2, NCOA1, nuclear receptors and WTIP. Here, functional proteomics of the ASXL family members are reviewed with emphasis on mutation spectra, the ASXM2 domain and the plant homeodomain (PHD) finger. Copy number gains of ASXL1 occur in chromosome 20q11.2 duplication syndrome and cervical cancer. Truncation mutations of ASXLs occur in autism, Bohring-Opitz and related syndromes, hematological malignancies and solid tumors, such as prostate cancer, breast cancer and high-grade glioma, which are gain- or loss-of-function mutations. The ASXM2 domain is a binding module for androgen receptor and estrogen receptor α, while the PHD finger is a ligand of WTIP LIM domains and a putative chromatin-binding module. Phylogenetic analyses of 139 human PHD fingers revealed that ASXL PHD fingers cluster with those of BPTF, DIDO, ING1, KDM5A (JARID1A), KMT2E (MLL5), PHF2, PHF8 and PHF23. The cell context-dependent epigenetic code of ASXLs should be deciphered to develop therapeutics for human diseases.

FGF receptors: cancer biology and therapeutics.

Fibroblast growth factors (FGFs) are involved in a variety of cellular processes, such as stemness, proliferation, anti-apoptosis, drug resistance, and angiogenesis. Here, FGF signaling network, cancer genetics/genomics of FGF receptors (FGFRs), and FGFR-targeted therapeutics will be reviewed. FGF signaling to RAS-MAPK branch and canonical WNT signaling cascade mutually regulate transcription programming. FGF signaling to PI3K-AKT branch and Hedgehog, Notch, TGFß, and noncanonical WNT signaling cascades regulate epithelial-to-mesenchymal transition (EMT) and invasion. Gene amplification of FGFR1 occurs in lung cancer and estrogen receptor (ER)-positive breast cancer, and that of FGFR2 in diffuse-type gastric cancer and triple-negative breast cancer. Chromosomal translocation of FGFR1 occurs in the 8p11 myeloproliferative syndrome and alveolar rhabdomyosarcoma, as with FGFR3 in multiple myeloma and peripheral T-cell lymphoma. FGFR1 and FGFR3 genes are fused to neighboring TACC1 and TACC3 genes, respectively, due to interstitial deletions in glioblastoma multiforme. Missense mutations of FGFR2 are found in endometrial uterine cancer and melanoma, and similar FGFR3 mutations in invasive bladder tumors, and FGFR4 mutations in rhabdomyosarcoma. Dovitinib, Ki23057, ponatinib, and AZD4547 are orally bioavailable FGFR inhibitors, which have demonstrated striking effects in preclinical model experiments. Dovitinib, ponatinib, and AZD4547 are currently in clinical trial as anticancer drugs. Because there are multiple mechanisms of actions for FGFR inhibitors to overcome drug resistance, FGFR-targeted therapy is a promising strategy for the treatment of refractory cancer. Whole exome/transcriptome sequencing will be introduced to the clinical laboratory as the companion diagnostic platform facilitating patient selection for FGFR-targeted therapeutics in the era of personalized medicine.

FGFR-targeted therapeutics: clinical activity, mechanisms of resistance and new directions.

Fibroblast growth factor (FGF) signalling via FGF receptors (FGFR1-4) orchestrates fetal development and contributes to tissue and whole-body homeostasis, but can also promote tumorigenesis. Various agents, including pan-FGFR inhibitors (erdafitinib and futibatinib), FGFR1/2/3 inhibitors (infigratinib and pemigatinib), as well as a range of more-specific agents, have been developed and several have entered clinical use. Erdafitinib is approved for patients with urothelial carcinoma harbouring FGFR2/3 alterations, and futibatinib and pemigatinib are approved for patients with cholangiocarcinoma harbouring FGFR2 fusions and/or rearrangements. Clinical benefit from these agents is in part limited by hyperphosphataemia owing to off-target inhibition of FGFR1 as well as the emergence of resistance mutations in FGFR genes, activation of bypass signalling pathways, concurrent TP53 alterations and possibly epithelial-mesenchymal transition-related isoform switching. The next generation of small-molecule inhibitors, such as lirafugratinib and LOXO-435, and the FGFR2-specific antibody bemarituzumab are expected to have a reduced risk of hyperphosphataemia and the ability to overcome certain resistance mutations. In this Review, we describe the development and current clinical role of FGFR inhibitors and provide perspective on future research directions including expansion of the therapeutic indications for use of FGFR inhibitors, combination of these agents with immune-checkpoint inhibitors and the application of novel technologies, such as artificial intelligence.

Activated FGFR2 signalling as a biomarker for selection of intrahepatic cholangiocarcinoma patients candidate to FGFR targeted therapies.

FGFR inhibitors have been developed to inhibit FGFR activation and signal transduction; notwithstanding, currently the selection of intrahepatic cholangiocarcinoma (iCCA) patients for these drugs only relies on the detection of FGFR2 genetic alterations (GAs) in tumor tissues or circulating tumor DNAs, without concomitant assessment of FGFR2 signalling status. Accordingly, we performed multi-omic analyses of FGFR2 genes and FGFR2 signalling molecules in the tissue samples from 36 iCCA naïve patients. Gain-of-function FGFR2 GAs were detected in 7 patients, including missense mutations (n = 3; p.F276C, p.C382R and p.Y375C), translocations (n = 1) and copy number gain (n = 4; CNV ≥ 4). In contrast, among 29 patients with wild-type FGFR2, 4 cases showed activation of FGFR2 signalling, as they expressed the FGFR2 ligand FGF10 and phosphorylated FGFR2/FRS2α proteins; the remaining 25 cases resulted negative for activated FGFR2 signalling, as they lacked FGFR2 (n = 8) or phosphorylated FRS2α (n = 17) expression. Overall, we found that activation of FGFR2 signalling occurs not only in iCCA naïve patients with FGFR2 GAs, but also in a subgroup carrying wild-type FGFR2. This last finding entails that also this setting of patients could benefit from FGFR targeted therapies, widening indication of these drugs for iCCA patients beyond current approval. Future clinical studies are therefore encouraged to confirm this hypothesis.

WNT signaling and cancer stemness.

Cancer stemness, defined as the self-renewal and tumor-initiation potential of cancer stem cells (CSCs), is a cancer biology property featuring activation of CSC signaling networks. Canonical WNT signaling through Frizzled and LRP5/6 receptors is transmitted to the ß-catenin-TCF/LEF-dependent transcription machinery to up-regulate MYC, CCND1, LGR5, SNAI1, IFNG, CCL28, CD274 (PD-L1) and other target genes. Canonical WNT signaling causes expansion of rapidly cycling CSCs and modulates both immune surveillance and immune tolerance. In contrast, noncanonical WNT signaling through Frizzled or the ROR1/2 receptors is transmitted to phospholipase C, Rac1 and RhoA to control transcriptional outputs mediated by NFAT, AP-1 and YAP-TEAD, respectively. Noncanonical WNT signaling supports maintenance of slowly cycling, quiescent or dormant CSCs and promotes epithelial-mesenchymal transition via crosstalk with TGFß (transforming growth factor-ß) signaling cascades, while the TGFß signaling network induces immune evasion. The WNT signaling network orchestrates the functions of cancer-associated fibroblasts, endothelial cells and immune cells in the tumor microenvironment and fine-tunes stemness in human cancers, such as breast, colorectal, gastric and lung cancers. Here, WNT-related cancer stemness features, including proliferation/dormancy plasticity, epithelial-mesenchymal plasticity and immune-landscape plasticity, will be discussed. Porcupine inhibitors, ß-catenin protein-protein interaction inhibitors, ß-catenin proteolysis targeting chimeras, ROR1 inhibitors and ROR1-targeted biologics are investigational drugs targeting WNT signaling cascades. Mechanisms of cancer plasticity regulated by the WNT signaling network are promising targets for therapeutic intervention; however, further understanding of context-dependent reprogramming trajectories might be necessary to optimize the clinical benefits of WNT-targeted monotherapy and applied combination therapy for patients with cancer.

Precision medicine for human cancers with Notch signaling dysregulation (Review).

NOTCH1, NOTCH2, NOTCH3 and NOTCH4 are transmembrane receptors that transduce juxtacrine signals of the delta­like canonical Notch ligand (DLL)1, DLL3, DLL4, jagged canonical Notch ligand (JAG)1 and JAG2. Canonical Notch signaling activates the transcription of BMI1 proto­oncogene polycomb ring finger, cyclin D1, CD44, cyclin dependent kinase inhibitor 1A, hes family bHLH transcription factor 1, hes related family bHLH transcription factor with YRPW motif 1, MYC, NOTCH3, RE1 silencing transcription factor and transcription factor 7 in a cellular context­dependent manner, while non­canonical Notch signaling activates NF­κB and Rac family small GTPase 1. Notch signaling is aberrantly activated in breast cancer, non­small­cell lung cancer and hematological malignancies, such as T­cell acute lymphoblastic leukemia and diffuse large B­cell lymphoma. However, Notch signaling is inactivated in small­cell lung cancer and squamous cell carcinomas. Loss­of­function NOTCH1 mutations are early events during esophageal tumorigenesis, whereas gain­of­function NOTCH1 mutations are late events during T­cell leukemogenesis and B­cell lymphomagenesis. Notch signaling cascades crosstalk with fibroblast growth factor and WNT signaling cascades in the tumor microenvironment to maintain cancer stem cells and remodel the tumor microenvironment. The Notch signaling network exerts oncogenic and tumor­suppressive effects in a cancer stage­ or (sub)type­dependent manner. Small­molecule γ­secretase inhibitors (AL101, MRK­560, nirogacestat and others) and antibody­based biologics targeting Notch ligands or receptors [ABT­165, AMG 119, rovalpituzumab tesirine (Rova­T) and others] have been developed as investigational drugs. The DLL3­targeting antibody­drug conjugate (ADC) Rova­T, and DLL3­targeting chimeric antigen receptor­modified T cells (CAR­Ts), AMG 119, are promising anti­cancer therapeutics, as are other ADCs or CAR­Ts targeting tumor necrosis factor receptor superfamily member 17, CD19, CD22, CD30, CD79B, CD205, Claudin 18.2, fibroblast growth factor receptor (FGFR)2, FGFR3, receptor­type tyrosine­protein kinase FLT3, HER2, hepatocyte growth factor receptor, NECTIN4, inactive tyrosine­protein kinase 7, inactive tyrosine­protein kinase transmembrane receptor ROR1 and tumor­associated calcium signal transducer 2. ADCs and CAR­Ts could alter the therapeutic framework for refractory cancers, especially diffuse­type gastric cancer, ovarian cancer and pancreatic cancer with peritoneal dissemination. Phase III clinical trials of Rova­T for patients with small­cell lung cancer and a phase III clinical trial of nirogacestat for patients with desmoid tumors are ongoing. Integration of human intelligence, cognitive computing and explainable artificial intelligence is necessary to construct a Notch­related knowledge­base and optimize Notch­targeted therapy for patients with cancer.

Transcriptional regulation of WNT2B based on the balance of Hedgehog, Notch, BMP and WNT signals.

We cloned and characterized human WNT2B in 1996, and then others cloned and characterized mouse, chicken, and zebrafish WNT2B orthologs. WNT2B is expressed in several types of human cancer, such as basal cell carcinoma, gastric cancer, breast cancer, head/neck squamous cell carcinoma, cervical cancer and leukemia. WNT2B is one of canonical WNTs transducing signals through Frizzled (FZD) and LRP5/LRP6 receptors to beta-catenin-TCF/LEF signaling cascade. Here, refined integrative genomic analyses on WNT2B orthologs were carried out to elucidate its transcriptional mechanisms. GLI-, double FOX-, HES/HEY-, bHLH-, and Sp1-binding sites within mammalian WNT2B promoter were well conserved. Because GLI1, FOXA2, FOXC2, FOXE1, FOXF1 and FOXL1 are direct target genes of Hedgehog-GLI2 signaling cascade, Hedgehog signals should induce WNT2B upregulation through GLI family members as well as FOX family members. Notch, BMP and Hedgehog signals inhibit WNT2B expression via HES/HEY-binding to N-box, whereas BMP and WNT signals inhibit bHLH transcription factor-induced WNT2B expression via ID1, ID2, ID3, MSX1 or MSX2. Together these facts indicate that Hedgehog signals and bHLH transcription factors are involved in WNT2B upregulation, which is counteracted by BMP, WNT and Notch signals. Mesenchymal BMP induces IHH expression in gastrointestinal epithelial cells, and then epithelial Hedgehog induces WNT2B and BMP4 expression in mesenchymal cells. NF-kappaB signals induce SHH upregulation, and WNT2B is upregulated in inflammatory bowel disease (IBD). BMP-IHH and inflammation-SHH signaling loops are involved in WNT2B up-regulation during embryogenesis, adult tissue homeostasis, and carcinogenesis.

Integrative genomic analyses of ZEB2: Transcriptional regulation of ZEB2 based on SMADs, ETS1, HIF1alpha, POU/OCT, and NF-kappaB.

Epithelial-to-mesenchymal transition (EMT) is defined as phenotypic change of epithelial cells into mesenchymal cells. EMT, allowing cellular dissociation from epithelial tissues, plays a key role in invasion and metastasis during carcinogenesis as well as in gastrulation and neurulation during embryogenesis. SNAI1/Snail, SNAI2/Slug, ZEB1/deltaEF1/ZFHX1A, ZEB2/SIP1/ZFHX1B, TWIST1/TWIST, and TWIST2/DERMO1 are representative EMT regulators. ZEB2 represses transcription of CDH1, CLDN4, CCND1, TERT, SFRP1, ALPL and miR-200b-200a-429 primary miRNA, and upregulates transcription of mesenchymal markers. ZEB2 is relatively highly expressed in brain corpus callosum and monocytes. ZEB2 is expressed in various types of human tumors, such as breast cancer, gastric cancer, and pancreatic cancer. TGFbeta, TNFalpha, IL1, AKT and hypoxia signals are involved in ZEB2 upregulation and EMT induction; however precise mechanisms of ZEB2 transcription remained unclear. Here, refined integrative genomic analyses of ZEB2 gene were carried out. ZEB2 was co-expressed with POU3F2 (BRN2) and POU3F3 (BRN1) in brain corpus callosum, spinal cord, and fetal brain, whereas ZEB2 was co-expressed with POU2F2 (OCT2) in monocytes. Ets-Smad-binding CGGAGAC motif, bHLH-binding site, and POU/OCT-binding site within proximal promoter region, and NF-kappaB-binding site within intron 2 were completely conserved in human ZEB2, chimpanzee ZEB2, cow ZEB2, mouse Zeb2, rat Zeb2, and chicken zeb2 genes. In addition, HIF1alpha-binding site within proximal promoter region was conserved in mammalian ZEB2 orthologs. Consensus binding site for Hedgehog effector GLI was not identified within or adjacent to the 7-kb regions of human ZEB2 gene. TGFbeta, TNFalpha, IL1, and hypoxia signals directly upregulate ZEB2 to induce EMT, growth arrest, and senescence, whereas Hedgehog signals indirectly upregulate ZEB2 via TGFbeta. Together these facts indicate that ZEB2, occupying the crossroads of inflammation, aging and carcinogenesis, is an important target for drug discovery.

Integrative genomic analyses on GLI1: positive regulation of GLI1 by Hedgehog-GLI, TGFbeta-Smads, and RTK-PI3K-AKT signals, and negative regulation of GLI1 by Notch-CSL-HES/HEY, and GPCR-Gs-PKA signals.

GLI family members are zinc-finger transcription factors, which are involved in embryogenesis and carcinogenesis through transcription regulation of GLI1, CCND1, CCND2, FOXA2, FOXC2, RUNX2, SFRP1, and JAG2. GLI1 transcription is upregulated in a variety of human tumors, such as basal cell carcinoma, lung cancer, breast cancer, gastric cancer, pancreatic cancer, and esophageal cancer. Hedgehog signaling via Smoothened cascade and receptor tyrosine kinase (RTK) signaling via PI3K-AKT cascade induce stabilization of GLI1 protein, whereas G-protein coupled receptor (GPCR) signaling via Gs-PKA cascade induces degradation of GLI1 protein. Here we report integrative genomic analyses of the GLI1 gene. The GLI1 and ARHGAP9 genes are located in a tail-to-tail manner with overlapping 3'-ends. ARHGAP9 was expressed in bone marrow, spleen, thymus, monocytes, and macrophages, whereas GLI1 was almost undetectable in normal tissues or cells with predominant ARHGAP9 expression. Because overlapping sense and anti-sense transcripts are annealed to each other to give rise to double-stranded RNAs functioning as endogenous RNAi, GLI1 expression might be negatively regulated by ARHGAP9 transcripts. GLI-binding element with one base substitution at the +1589-bp position from the transcriptional start site (TSS) of the human GLI1 gene was completely conserved in chimpanzee GLI1, mouse Gli1, and rat Gli1 genes. Ten Smad-binding elements, double E-boxes for EMT regulators, and double N-boxes for HES/HEY family members within intron 1 of the human GLI1 gene were also conserved in mammalian GLI1 orthologs. GLI1 transcription is upregulated due to Hedgehog, and TGFbeta signaling activation, whereas GLI1 transcription is downregulated due to Snail/Slug, and Notch signaling activation. Together these facts indicate that Hedgehog, TGFbeta, and RTK signals positively regulate GLI1, and that Notch, and GsPCR signals negatively regulate the GLI1.

FGFR2-related pathogenesis and FGFR2-targeted therapeutics (Review).

FGFR2 gene at human chromosome 10q26 encodes FGFR2b and FGFR2c isoforms functioning as FGF receptors with distinct expression domain and ligand specificity. FGFR2 plays oncogenic and anti-oncogenic roles in a context-dependent manner. Single nucleotide polymorphisms (SNPs) within intron 2 of FGFR2 gene are associated with breast cancer through allelic FGFR2 upregulation. Missense mutations or copy number gains of FGFR2 gene occur in breast cancer and gastric cancer to activate FGFR2 signaling. Aberrant FGFR2 signaling activation induces proliferation and survival of tumor cells. The class switch from FGFR2b to FGFR2c occurs during progression of prostate cancer and bladder cancer because of spliceosome dysregulation. In addition, epidermal Fgfr2b knockout mice show increased sensitivity to chemical carcinogenesis partly due to the failure of Nfe2l2 (Nrf2)-mediated detoxification of reactive oxygen species (ROS). Loss of FGFR2b signaling induces epithelial-to-mesenchymal transition (EMT) and unruly ROS. FGFR2 signaling dysregulation due to the accumulation of epigenetic modifications and genetic alterations during chronic inflammation, smoking, increased caloric uptake, and decreased exercise leads to carcinogenesis. PD173074, SU5402, AZD2171, and Ki23057 are small-molecule FGFR inhibitors. Human antibody, peptide mimetic, RNA aptamer, siRNA, and synthetic microRNA (miRNA) are emerging technologies to be applied for cancer therapeutics targeted to FGFR2. Because novel sequence technology and peta-scale super-computer are opening up the sequence era following the genome era, personalized medicine prescribing targeted drugs based on germline and/or somatic genomic information is coming reality. Application of FGFR2 inhibitors for cancer treatment in patients with FGFR2 mutation or gene amplification is beneficial; however, that for cancer prevention in people with FGFR2 risk allele might be disadvantageous due to the impediment of a cytoprotective mechanism against oxidative stress.

Integrative genomic analyses of WNT11: transcriptional mechanisms based on canonical WNT signals and GATA transcription factors signaling.

We and others previously cloned and characterized vertebrate WNT11 orthologs, which are involved in gastrulation, neurulation, cardiogenesis, nephrogenesis, and chondrogenesis during fetal development. WNT11 orthologs activate both canonical and non-canonical WNT signaling cascades depending on the expression profile of WNT receptors, such as Frizzled family members, LRP6, ROR2, and RYK. Human WNT11 is expressed in breast cancer, gastric cancer, esophageal cancer, colorectal cancer, neuroblastoma, Ewing sarcoma, and prostate cancer. Canonical WNT signals and GATA family members are involved in WNT11 transcription during embryogenesis of model animals; however, precise mechanisms of WNT11 expression remain unclear. Here, refined integrative genomic analyses of WNT11 are carried out to elucidate the mechanisms of WNT11 transcription. The WNT11 gene was found to encode two isoforms by using alternative first exons. WNT11 isoform A (NM_004626.2 RefSeq) consists of exons 2, 3, 4, 5 and 6, whereas WNT11 isoform B consists of exons 1, 2, 3, 4, 5 and 6. We identified double TCF/LEF-binding sites within the proximal promoter regions -48-bp position from the TSS of human WNT11 isoform B and -43-bp position from the TSS of human WNT11 isoform A), and also double GATA-binding sites within intron 2 of human WNT11 gene (+933-bp and +5001-bp positions from TSS of human WNT11 isoform A). Double TCF/LEF- and double GATA-binding sites within the regulatory regions of human WNT11 gene were conserved in other mammalian WNT11 orthologs. These facts indicate that canonical WNT signals and GATA family members directly upregulate WNT11 transcription. Canonical WNT-induced WNT11 activates non-canonical WNT signaling cascades to induce cellular movement, and also activates the Ca2+-MAP3K7-NLK signaling cascade to break the canonical WNT signaling. Canonical WNT-to-WNT11 signaling loop is involved in cellular migration during embryogenesis as well as tumor invasion during carcinogenesis.

Transcriptional mechanisms of WNT5A based on NF-kappaB, Hedgehog, TGFbeta, and Notch signaling cascades.

WNT5A is a cancer-associated gene involved in invasion and metastasis of melanoma, breast cancer, pancreatic cancer, and gastric cancer. WNT5A transduces signals through Frizzled, ROR1, ROR2 or RYK receptors to beta-catenin-TCF/LEF, DVL-RhoA-ROCK, DVL-RhoB-Rab4, DVL-Rac-JNK, DVL-aPKC, Calcineurin-NFAT, MAP3K7-NLK, MAP3K7-NF-kappaB, and DAG-PKC signaling cascades in a context-dependent manner. SNAI1 (Snail), CD44, G3BP2, and YAP1 are WNT5A target genes. We and other groups previously reported that IL6- or LIF-induced signaling through JAK-STAT3 signaling cascade is involved in WNT5A upregulation (STAT3-WNT5A signaling loop). Here, refined integrative genomic analyses of WNT5A were carried out to elucidate other mechanisms of WNT5A transcription. The WNT5A gene was found to encode two isoforms by using alternative first exons 1A and 1B. Quadruple Smad-binding elements (SBEs), single Sp1-binding site (GC-box), PPARgamma-binding site, C/EBP-binding site and bHLH-binding site within the promoter A region, 5'-adjacent to exon 1A, were conserved in human WNT5A, chimpanzee WNT5A, mouse Wnt5a, and rat Wnt5a. NF-kappaB-binding site, CUX1-binding site, double SBEs and double GC-boxes within the promoter B region, 5'-adjacent to exon 1B, were conserved in mammalian WNT5A orthologs. Quadruple FOX-binding sites and double SBEs within ultra-conserved intron 1 were also conserved in mammalian WNT5A orthologs. Conserved NF-kappaB-binding site within the WNT5A promoter B region elucidated the mechanisms that TNFalpha and toll-like receptor (TLR) signals upregulate WNT5A via MAP3K7. Quadruple FOX-binding sites rather than GLI-binding site revealed that Hedgehog signals induce WNT5A upregulation indirectly via FOX family members, such as FOXA2, FOXC2, FOXE1, FOXF1 and FOXL1. TGFbeta signals were found to upregulate WNT5A expression directly through the Smad complex, and also indirectly through Smad-induced CUX1 and MAP3K7-mediated NF-kappaB. Together these facts indicate that WNT5A is transcribed based on multiple mechanisms, such as NF-kappaB, Hedgehog, TGFbeta, and Notch signaling cascades.

Transcript annotation in FANTOM3: mouse gene catalog based on physical cDNAs.

The international FANTOM consortium aims to produce a comprehensive picture of the mammalian transcriptome, based upon an extensive cDNA collection and functional annotation of full-length enriched cDNAs. The previous dataset, FANTOM2, comprised 60,770 full-length enriched cDNAs. Functional annotation revealed that this cDNA dataset contained only about half of the estimated number of mouse protein-coding genes, indicating that a number of cDNAs still remained to be collected and identified. To pursue the complete gene catalog that covers all predicted mouse genes, cloning and sequencing of full-length enriched cDNAs has been continued since FANTOM2. In FANTOM3, 42,031 newly isolated cDNAs were subjected to functional annotation, and the annotation of 4,347 FANTOM2 cDNAs was updated. To accomplish accurate functional annotation, we improved our automated annotation pipeline by introducing new coding sequence prediction programs and developed a Web-based annotation interface for simplifying the annotation procedures to reduce manual annotation errors. Automated coding sequence and function prediction was followed with manual curation and review by expert curators. A total of 102,801 full-length enriched mouse cDNAs were annotated. Out of 102,801 transcripts, 56,722 were functionally annotated as protein coding (including partial or truncated transcripts), providing to our knowledge the greatest current coverage of the mouse proteome by full-length cDNAs. The total number of distinct non-protein-coding transcripts increased to 34,030. The FANTOM3 annotation system, consisting of automated computational prediction, manual curation, and final expert curation, facilitated the comprehensive characterization of the mouse transcriptome, and could be applied to the transcriptomes of other species.

Fibroblast growth factor receptors as treatment targets in clinical oncology.

FGFRs are receptor tyrosine kinases with a role in several biological processes, such as the regulation of development and tissue repair. However, alterations in FGFRs 1-4, such as amplifications, fusions and mutations, as well as aberrant epigenetic or transcriptional regulation and changes in tumour-stromal interactions in the tumour microenvironment, can lead to the development and/or progression of cancer. Similar to other kinase alterations, such alterations are targetable using small molecules or antibodies, and the benefits of FGFR inhibitors have been demonstrated in clinical trials involving subsets of patients with solid tumours harbouring FGFR alterations. However, the response rates in patients with FGFR alterations were relatively low, and responses in patients without detectable FGFR alterations were also observed. In this Review, the author describes the clinical experience with FGFR inhibitors to date, and highlights key aspects that might lead to improved response rates and/or the avoidance of acquired resistance, including the selection of patients who are most likely to benefit from treatment, and the use of FGFR inhibitors in combination regimens with other agents.

Cancer genomics and genetics of FGFR2 (Review).

FGFR2 gene encodes FGFR2b in epithelial cells, and FGFR2c in mesenchymal cells. FGFR2b is a high affinity receptor for FGF1, FGF3, FGF7, FGF10 and FGF22, while FGFR2c for FGF1, FGF2, FGF4, FGF6, FGF9, FGF16 and FGF20. Here genomics and genetics of FGFR2, and therapeutics targeted to FGFR2 will be reviewed. Single nucleotide polymorphisms (SNPs) of FGFR2 are associated with increased risk of breast cancer. Gene amplification or missense mutation of FGFR2 occurs in gastric cancer, lung cancer, breast cancer, ovarian cancer, and endometrial cancer. Genetic alterations of FGFR2 induce aberrant FGFR2 signaling activation due to release of FGFR2 from autoinhibition, or creation of FGF signaling autocrine loop. Class switch of FGFR2b to FGFR2c is associated with more malignant phenotype. FGF and canonical WNT signals synergize during mammary carcinogenesis, but counteract during osteogenesis and adipogenesis. Among PD173074, SU5402, and AZD2171 functioning as FGFR inhibitors, AZD2171 is the most promising anti-cancer drug. Cancer genomics and genetics are utilized to predict cancer-driving pathway for therapeutic optimization. FGFR2ome is defined as a complete data set of SNP, copy number variation (CNV), missense mutation, gene amplification, and predominant isoform of FGFR2. FGFR2ome analyses in patients with several tumor types among various populations should be carried out to establish integrative database of FGFR2 for the rational clinical application of FGFR2-targeted cancer therapy.

Integrative genomic analyses on GLI2: mechanism of Hedgehog priming through basal GLI2 expression, and interaction map of stem cell signaling network with P53.

Hedgehog-binding to Patched family receptors results in Smoothened-mediated activation of MAP3K10 (MST) and inactivation of SUFU. MAP3K10-induced DYRK2 phosphorylation combined with SUFU inhibition results in the stabilization and nuclear accumulation of GLI2 for transcriptional activation of GLI1, CCND1, CCND2, FOXA2, FOXC2, FOXP3, FOXQ1, RUNX2, and JAG2. Here, integrative genomic analyses on GLI2 orthologs were carried out. Rat Gli2 complete coding sequence was determined by assembling nucleotide sequences of exons 1, 2, and 5'-truncated rat Gli2 RefSeq (NM_001107169.1). GLI2 orthologs were more related to GLI3 orthologs than to GLI1 orthologs lacking the N-terminal repressor domain. betaTRCP1 (FBXW1)-binding DSYxxxS motif was conserved in GLI2 and GLI3 orthologs, while betaTRCP2 (FBXW11)-binding DSGxxxxxxxxxS motif in GLI2 and GLI1 orthologs. Human GLI2 mRNA was expressed in ES cells, NT2 cells, fetal lung, fetal heart, regenerating liver, gastric cancer, and other tumors. Mouse Gli2 mRNA was expressed in unfertilized egg, ES cells, and EG cells. Tandem RRRCWWGYYY motifs for P53, P63 or P73, and also four conserved bHLH-binding sites were identified within GLI2 proximal promoter region. Interaction map of P53 and stem cell signaling network were then constructed. P53-induced NOTCH1 upregulation leads to HES1, HES5, HEY1, HEY2 or HEYL upregulation for the repression of tissue specific bHLH transcriptional activators. DYRK2 functions as a positive regulator of P53-mediated apoptosis, and also as a negative regulator of the Hedgehog signaling cascade. GLI2 expression is regulated based on the balance of P53, Notch, and TGF-beta signaling, and Hedgehog signaling activation results in cell survival and proliferation due to transcriptional activation of Hedgehog-target genes, and also partly due to perturbation of P53-mediated transcriptional regulation.