ACD can configure probes for the various manual and automated assays for INS for RNAscope Assay, or for Basescope Assay compatible for your species of interest.
Pathobiology. 2015 Jun 16;82(2):76-83.
Kwak Y, Nam SK, Seo AN, Kim DW, Kang SB, Kim WH, Lee HS.
PMID: 26088290
Digestion. 88(3):172–181.
Göke F, Göke A, von Mässenhausen A, Franzen A, Sharma R, Kirsten R, Böhm D, Kristiansen G, Stenzinger A, Wynes M, Hirsch FR, Weichert W, Heasley L, Buettner R, Perner S (2013).
PMID: 24135816 | DOI: 10.1159/000355018
Eur Urol Focus.
2017 Aug 27
Necchi A, Raggi D, Volpi CC, Giannatempo P, Colecchia M, Gloghini A.
PMID: 28855072 | DOI: 10.1016/j.euf.2017.08.002
Current oncology (Toronto, Ont.)
2022 Oct 14
Boudin, L;Morvan, JB;Thariat, J;Métivier, D;Marcy, PY;Delarbre, D;
PMID: 36290887 | DOI: 10.3390/curroncol29100610
Mol Cancer Res. 2014 Oct;12(10):1460-9.
Marek LA, Hinz TK, von Mässenhausen A, Olszewski KA, Kleczko EK, Boehm D, Weiser-Evans MC, Nemenoff RA, Hoffmann H, Warth A, Gozgit JM, Perner S, Heasley LE.
PMID: 25686826
Frontiers in endocrinology
2021 Aug 12
Adam, P;Kircher, S;Sbiera, I;Koehler, VF;Berg, E;Knösel, T;Sandner, B;Fenske, WK;Bläker, H;Smaxwil, C;Zielke, A;Sipos, B;Allelein, S;Schott, M;Dierks, C;Spitzweg, C;Fassnacht, M;Kroiss, M;
PMID: 34475850 | DOI: 10.3389/fendo.2021.712107
J Thorac Oncol. 2015 May 27.
Zhang L, Yu H, Badzio A, Boyle TA, Schildhaus HU, Lu X, Dziadziuszko R, Jassem J, Varella-Garcia M, Heasley LE, Kowalewski AA, Ellison K, Chen G, Zhou C, Hirsch FR.
PMID: 26016563 | DOI: 10.1080/15476286.2015.1053687
Clin Cancer Res. 2015 May 26.
Göke F, Franzen A, Hinz TK, Marek LA, Yoon P, Sharma R, Bode M, von Mässenhausen A, Lankat-Buttgereit B, Göke A, Golletz C, Kirsten R, Boehm D, Vogel W, Kleczko EK, Eagles J, Hirsch FR, Van Bremen T, Bootz F, Schröck A, Kim J, Tan AC, Jimeno A, Heasle
PMID: 26027736 | DOI: 10.1038/ncomms8222.
Background: FGFR1 copy number gain (CNG) occurs in head and neck squamous cell cancers (HNSCC) and is used for patient selection in FGFR-specific inhibitor clinical trials. This study explores FGFR1 mRNA and protein levels in HNSCC cell lines, primary tumors and patient-derived xenografts (PDXs) as predictors of sensitivity to the FGFR inhibitor, NVP-BGJ398. Methods: FGFR1 status, expression levels and BGJ398 sensitive growth were measured in 12 HNSCC cell lines. Primary HNSCCs (n=353) were assessed for FGFR1 CNG and mRNA levels and HNSCC TCGA data were interrogated as an independent sample set. HNSCC PDXs (n=39) were submitted to FGFR1 copy number detection and mRNA assays to identify putative FGFR1-dependent tumors. Results: Cell line sensitivity to BGJ398 is associated with FGFR1 mRNA and protein levels, not FGFR1 CNG. 31% of primary HNSCC tumors expressed FGFR1 mRNA, 18% exhibited FGFR1 CNG, 35% of amplified tumors were also positive for FGFR1 mRNA. This relationship was confirmed with the TCGA dataset. Using high FGFR1 mRNA for selection, 2 HNSCC PDXs were identified, one of which also exhibited FGFR1 CNG. The non-amplified tumor with high mRNA levels exhibited in vivo sensitivity to BGJ398. Conclusion: FGFR1 expression associates with BGJ398 sensitivity in HNSCC cell lines and predicts TKI sensitivity in PDXs. Our results support FGFR1 mRNA or protein expression, rather than FGFR1 CNG as a predictive biomarker for the response to FGFR inhibitors in a subset of patients suffering from HNSCC.
Oncotarget.
2018 Aug 14
Fromme JE, Schmitz K, Wachter A, Grzelinski M, Zielinski D, Koppel C, Conradi LC, Homayounfar K, Hugo T, Hugo S, Lukat L, Rüschoff J, Ströbel P, Ghadimi M, Beißbarth T, Reuter-Jessen K, Bleckmann A, Schildhaus HU.
PMID: 30181810 | DOI: 10.18632/oncotarget.25941
Abstract
OBJECTIVES:
Metastatic colorectal cancer (CRC) remains a leading cause of cancer related deaths. Patients with oligometastatic liver disease represent a clinical subgroup with heterogeneous course. Until now, biomarkers to characterize outcome and therapeutic options have not been fully established.
METHODS:
We investigated the prevalence of FGFR alterations in a total of 140 primary colorectal tumors and 63 liver metastases of 55 oligometastatic CRC patients. FGF receptors (FGFR1-4) and their ligands (FGF3, 4 and 19) were analyzed for gene amplifications and rearrangements as well as for RNA overexpression in situ. Results were correlated with clinico-pathologic data and molecular subtypes.
RESULTS:
Primary tumors showed FGFR1 (6.3%) and FGF3,4,19 (2.2%) amplifications as well as FGFR1 (10.1%), FGFR2 (5.5%) and FGFR3 (16.2%) overexpression. In metastases, we observed FGFR1 amplifications (4.8%) as well as FGFR1 (8.5%) and FGFR3 (14.9%) overexpression. Neither FGFR2-4 amplifications nor gene rearrangements were observed. FGFR3 overexpression was significantly associated with shorter overall survival in metastases (mOS 19.9 vs. 47.4 months, HR=3.14, p=0.0152), but not in primary CRC (HR=1.01, p=0.985). Although rare, also FGFR1 amplification was indicative of worse outcome (mOS 12.6 vs. 47.4 months, HR=8.83, p=0.00111).
CONCLUSIONS:
We provide the so far most comprehensive analysis of FGFR alterations in primary and metastatic CRC. We describe FGFR3 overexpression in 15% of CRC patients with oligometastatic liver disease as a prognosticator for poor outcome. Recently FGFR3 overexpression has been shown to be a potential therapeutic target. Therefore, we suggest focusing on this subgroup in upcoming clinical trials with FGFR-targeted therapies.
Clin Cancer Res. 2014 Apr 25.
Wynes MW, Hinz TK, Gao D, Martini M, Marek L, Ware KE, Edwards MG, Bohm D, Perner S, Helfrich BA, Dziadziuszko R, Jassem J, Wojtylak S, Sejda A, Gozgit JM, Bunn Jr PA, Camidge DR, Tan AC, Hirsch FR, Heasley LE (2014)
PMID: 24771645
Clinical Lung Cancer
2018 Sep 03
Ng TL, Yu H, Smith DE, Boyle TA, York ER, Leedy S, Gao D, Aisner DL, Van Bokhoven A, Heasley LE, Hirsch FR, Camidge DR.
PMID: - | DOI: 10.1016/j.cllc.2018.09.001
Pre-clinically, high FGFR1 mRNA (FGFR1-MRNA) and FGFR1 amplification (FGFR1-AMP) predicted sensitivity to FGFR inhibitors in NSCLC and SCLC cell lines. KRAS mutations did not preclude sensitivity.
Metastatic EGFR- and ALK-negative lung cancers were screened for FGFR1-MRNA by in-situ hybridization (ISH) and FGFR1-AMP by silver in-situ hybridization (SISH). Positive cases were offered ponatinib, a multi-kinase inhibitor of FGFR1-4. Differences in overall survival (OS) between cohorts were assessed using log-rank test. Association of FGFR1 positivity with clinicopathologic features were assessed using Fisher’s exact test and Kruskal-Wallis rank sum test.
171 cases were prescreened: 9/123 (7.3%) SISH+; 53/126 (42.1%) ISH+; 6 cases concordantly positive for SISH and ISH. SISH+ cases had fewer coincident KRAS mutations (p=0.03) than SISH- cases, and ISH+ cases had worse OS (p=0.020) than ISH- cases. Data distributions suggested a distinct higher positivity cutpoint for FGFR1 ISH (≥20%), occurring in 23% [29/126] cases, was associated with SCLC histology (p=0.022), soft tissue metastases (p=0.050) and shorter OS (p=0.031). Four patients received ponatinib on study: All ISH+ by the initial cutpoint, 2/4 by higher cutpoint, 1/4 SISH+. Tolerability was poor. The best response for the two higher ISH cases was SD and PD for the two lower ISH cases.
Elevated FGFR1-MRNA is more common than FGFR1-AMP and associated with worse OS. Higher FGFR1 mRNA expression may be associated with a specific phenotype and is worthy of further exploration. Ponatinib’s poor tolerance suggests further FGFR exploration in ISH+ cases should utilize more selective FGFR1 inhibitors.
Nat Genet.
2017 Mar 20
Li H, Courtois ET, Sengupta D, Tan Y, Chen KH, Goh JJ, Kong SL, Chua C, Hon LK, Tan WS, Wong M, Choi PJ, Wee LJ, Hillmer AM, Tan IB, Robson P, Prabhakar S.
PMID: 28319088 | DOI: 10.1038/ng.3818
Intratumoral heterogeneity is a major obstacle to cancer treatment and a significant confounding factor in bulk-tumor profiling. We performed an unbiased analysis of transcriptional heterogeneity in colorectal tumors and their microenvironments using single-cell RNA-seq from 11 primary colorectal tumors and matched normal mucosa. To robustly cluster single-cell transcriptomes, we developed reference component analysis (RCA), an algorithm that substantially improves clustering accuracy. Using RCA, we identified two distinct subtypes of cancer-associated fibroblasts (CAFs). Additionally, epithelial-mesenchymal transition (EMT)-related genes were found to be upregulated only in the CAF subpopulation of tumor samples. Notably, colorectal tumors previously assigned to a single subtype on the basis of bulk transcriptomics could be divided into subgroups with divergent survival probability by using single-cell signatures, thus underscoring the prognostic value of our approach. Overall, our results demonstrate that unbiased single-cell RNA-seq profiling of tumor and matched normal samples provides a unique opportunity to characterize aberrant cell states within a tumor.
Description | ||
---|---|---|
sense Example: Hs-LAG3-sense | Standard probes for RNA detection are in antisense. Sense probe is reverse complent to the corresponding antisense probe. | |
Intron# Example: Mm-Htt-intron2 | Probe targets the indicated intron in the target gene, commonly used for pre-mRNA detection | |
Pool/Pan Example: Hs-CD3-pool (Hs-CD3D, Hs-CD3E, Hs-CD3G) | A mixture of multiple probe sets targeting multiple genes or transcripts | |
No-XSp Example: Hs-PDGFB-No-XMm | Does not cross detect with the species (Sp) | |
XSp Example: Rn-Pde9a-XMm | designed to cross detect with the species (Sp) | |
O# Example: Mm-Islr-O1 | Alternative design targeting different regions of the same transcript or isoforms | |
CDS Example: Hs-SLC31A-CDS | Probe targets the protein-coding sequence only | |
EnEm | Probe targets exons n and m | |
En-Em | Probe targets region from exon n to exon m | |
Retired Nomenclature | ||
tvn Example: Hs-LEPR-tv1 | Designed to target transcript variant n | |
ORF Example: Hs-ACVRL1-ORF | Probe targets open reading frame | |
UTR Example: Hs-HTT-UTR-C3 | Probe targets the untranslated region (non-protein-coding region) only | |
5UTR Example: Hs-GNRHR-5UTR | Probe targets the 5' untranslated region only | |
3UTR Example: Rn-Npy1r-3UTR | Probe targets the 3' untranslated region only | |
Pan Example: Pool | A mixture of multiple probe sets targeting multiple genes or transcripts |
Complete one of the three forms below and we will get back to you.
For Quote Requests, please provide more details in the Contact Sales form below
Our new headquarters office starting May 2016:
7707 Gateway Blvd.
Newark, CA 94560
Toll Free: 1 (877) 576-3636
Phone: (510) 576-8800
Fax: (510) 576-8798
19 Barton Lane
Abingdon Science Park
Abingdon
OX14 3NB
United Kingdom
Phone 2: +44 1235 529449
Fax: +44 1235 533420
20F, Tower 3,
Raffles City Changning Office,
1193 Changning Road, Shanghai 200051
021-52293200
info.cn@bio-techne.com
Web: www.acdbio.com/cn
For general information: Info.ACD@bio-techne.com
For place an order: order.ACD@bio-techne.com
For product support: support.ACD@bio-techne.com
For career opportunities: hr.ACD@bio-techne.com