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.
Int J Cancer.
2016 Jun 24
Depuydt CE, Thys S, Beert J, Jonckheere J, Salembier G, Bogers JJ.
PMID: 27339821 | DOI: 10.1002/ijc.30238
Persistent high-risk human papillomavirus (HPV) infection is strongly associated with development of high-grade cervical intraepithelial neoplasia or cancer (CIN3+). In single type infections serial type-specific viral-load measurements predict the natural history of the infection. In infections with multiple HPV-types, the individual type-specific viral-load profile could distinguish progressing HPV-infections from regressing infections. A case-cohort natural history study was established using samples from untreated women with multiple HPV-infections who developed CIN3+ (n=57) or cleared infections (n=88). Enriched cell pellet from liquid based cytology samples were subjected to a clinically validated real-time qPCR-assay (18 HPV-types). Using serial type-specific viral-load measurements (≥3) we calculated HPV-specific slopes and coefficient of determination (R2 ) by linear regression. For each woman slopes and R2 were used to calculate which HPV-induced processes were ongoing (progression, regression, serial transient, transient). In transient infections with multiple HPV-types, each single HPV-type generated similar increasing (0.27copies/cell/day) and decreasing (-0.27copies/cell/day) viral-load slopes. In CIN3+ at least one of the HPV-types had a clonal progressive course (R2 ≥0.85;0.0025copies/cell/day). In selected CIN3+ cases (n=6) immunostaining detecting type-specific HPV 16,31,33,58 and 67 RNA showed an even staining in clonal populations (CIN3+), whereas in transient virion-producing infections the RNA-staining was less in the basal layer compared to the upper layer where cells were ready to desquamate and release newly-formed virions. RNA-hybridization patterns matched the calculated ongoing processes measured by R2 and slope in serial type-specific viral-load measurements preceding the biopsy. In women with multiple HPV-types, serial type-specific viral-load measurements predict the natural history of the different HPV-types, and elucidates HPV-genotype attribution.
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
International Journal of Cancer, 132(4), 882–890.
Gao G, Chernock RD, Gay HA, Thorstad WL, Zhang TR, Wang H, Ma XJ, Luo Y, Lewis JS Jr, Wang X (2013).
PMID: 22821242 | DOI: 10.1002/ijc.27739.
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.
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
Virchows Archiv, 1–9.
Dreyer JH, Hauck F, Oliveira-Silva M, Barros MH, Niedobitek G. (2013).
PMID: 23503925 | DOI: 10.1007/s00428-013-1393-5.
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.
Cancer.
2016 Jun 17
Lim SH, Sun JM, Choi YL, Kim HR, Ahn S, Lee JY, Lee SH, Ahn JS, Park K, Kim JH, Cho BC, Ahn MJ.
PMID: 27315356 | DOI: 10.1002/cncr.30135.
Clinical Colorectal Cancer
2018 Sep 21
Mondaca S, Chatila WK, Bates D, Hechtman JF, Cercek A, Segal NH, Stadler ZK, Varghese AM, Kundra R, Capanu M, Shia J, Schultz N, Saltz L, Yaeger R.
PMID: - | DOI: 10.1016/j.clcc.2018.09.005
Abstract
Background
Treatment of advanced anal squamous cell cancer (SCC) is usually with the combination of cisplatin and 5-fluorouracil, which is associated with heterogeneous responses across patients and significant toxicity. We examined the safety and efficacy of a modified schedule, FOLFCIS (leucovorin, fluorouracil, and cisplatin), and performed an integrated clinical and genomic analysis of anal SCC.
Patients and Methods
We reviewed all patients with advanced anal SCC receiving first-line FOLFCIS chemotherapy – essentially a FOLFOX (leucovorin, fluorouracil, and oxaliplatin) schedule with cisplatin substituted for oxaliplatin – in our institution between 2007 and 2017, and performed deep sequencing to identify genomic markers of response and key genomic drivers.
Results
Fifty-three patients with advanced anal SCC (48 metastatic; 5 unresectable, locally advanced) received first-line FOLFCIS during this period; all were platinum-naive. The response rate was 48% (95% confidence interval [CI], 32.6%-63%). With a median follow-up of 41.6 months, progression-free survival and overall survival were 7.1 months (95% CI, 4.4-8.6 months) and 22.1 months (95% CI, 16.9-28.1 months), respectively. Among all patients with advanced anal SCC that underwent sequencing during the study period, the most frequent genomic alterations consisted of chromosome 3q amplification (51%) and mutations in PIK3CA (29%) and KMT2D (22%). No genomic alteration correlated with response to platinum-containing treatment. Although there were few cases, patients with human papillomavirus-negative anal SCC did not appear to benefit from FOLFCIS, and all harbored distinct genomic profiles with TP53, TERT promoter, and CDKN2A mutations.
Conclusions
FOLFCIS appears effective and safe as first-line chemotherapy in patients with advanced anal SCC and represents an alternative treatment option for these patients.
Description | ||
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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 |
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