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SQNM

14 Posts
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  1. [verwijderd] 14 juli 2009 09:56
    eerder al elders gepost, heb positie nu, wel high risk(!)

    SQNM Sequenom

    Not the results of the internal investigation into the mishandling of the data before, but good news nonetheless

    " University of Michigan Study Shows SEQUENOM's MassARRAY Technology Identifies HPV Infections Missed by Standard Hybridization Test"

    finance.yahoo.com/news/University-of-...

    Also continued registered buying.
    Lots of call option activity as well

    Still see downside 2$ on bad internal investigation result, with 12-15$ upside on minor employee mishandling as outcome.
  2. [verwijderd] 14 juli 2009 22:48
    Ranking | Company (Ticker) | Upside
    1 Sequenom, Inc. (NASDAQ:SQNM) 602.7%

    2 NewStar Financial, Inc. (NASDAQ:NEWS) 583.2%
    3 UAL Corporation (NASDAQ:UAUA) 498.2%
    4 US Airways Group, Inc. (NYSE:LCC) 485.3%
    5 Lexicon Pharmaceuticals, Inc. (NASDAQ:LXRX) 430.3%
    6 Pacific Capital Bancorp (NASDAQ:PCBC) 358.7%
    7 Matrixx Initiatives, Inc. (NASDAQ:MTXX) 317.4%
    8 Sinclair Broadcast Group, Inc. (NASDAQ:SBGI) 311.0%
    9 Nabi Biopharmaceuticals (NASDAQ:NABI) 293.0%
    10 Ariad Pharmaceuticals, Inc. (NASDAQ:ARIA) 282.2%
    11 Cenveo, Inc. (NYSE:CVO) 274.7%
    12 Citizens Republic Bancorp, Inc. (NASDAQ:CRBC) 273.1%
    13 Progenics Pharmaceuticals, Inc. (NASDAQ:PGNX) 270.0%
    14 Cell Therapeutics, Inc. (NASDAQ:CTIC) 262.3%
    15 Horizon Lines, Inc. (NYSE:HRZ) 261.4%
    16 Belo Corp. (NYSE:BLC) 244.8%
    17 Nivs IntelliMedia Technology Group, Inc. (NYSE:NIV) 229.7%
    18 Immunomedics, Inc. (NASDAQ:IMMU) 226.5%
    19 Javelin Pharmaceuticals Inc. (AMEX:JAV) 220.5%
    20 Clinical Data, Inc. (NASDAQ:CLDA) 203.2%
  3. [verwijderd] 28 juli 2009 23:47
    quote:

    crackedtooth schreef:

    zit er zeker nog in vandaag gister wel meeste verkocht

    retrace naar lage 5$ daarna 4,70
    lage 5 wil ik ze terug
    Ik hoop het niet Crack. :) gun het je wel hoor, maar niet ten kosten van mijn winst
  4. [verwijderd] 29 juli 2009 21:21
    quote:

    crackedtooth schreef:

    best kans dat ie toch houdt hier
    mijn positie is fluid om een core heen

    HEB denk ik weer een keer naar de 3$
    fluid om een core heen ? sorry maar waar bedoel je. ikki nie snap :)
  5. [verwijderd] 29 juli 2009 21:28
    stukjes lager erin, iets hoger eruit,
    core positie wel intact

    heb moet wel 2$ houden consolidatie nu, maar zou theoretisch beide kanten op kunnen

    gezien fda speculatie verwacht ik meer upside kans
  6. [verwijderd] 29 juli 2009 21:39
    quote:

    crackedtooth schreef:

    stukjes lager erin, iets hoger eruit,
    core positie wel intact

    heb moet wel 2$ houden consolidatie nu, maar zou theoretisch beide kanten op kunnen

    gezien fda speculatie verwacht ik meer upside kans
    Oke is duidelijk ..
  7. [verwijderd] 19 maart 2010 20:23
    SQNM - Still to be published

    BMC Cancer. 2010 Mar 16;10(1):101. [Epub ahead of print]

    A rapid, sensitive, reproducible and cost-effective method for mutation profiling of colon cancer and metastatic lymph nodes.
    Fumagalli D, Gavin PG, Taniyama Y, Kim SI, Choi HJ, Paik S, Pogue-Geile KL.

    ABSTRACT: BACKGROUND: An increasing number of studies show that genetic markers can aid in refining prognostic information and predicting the benefit from systemic therapy. Our goal was to develop a high throughput, cost-effective and simple methodology for the detection of clinically relevant hot spot mutations in colon cancer.

    METHODS: The Maldi-Tof mass spectrometry platform and OncoCarta panel from Sequenom were used to profile 239 colon cancers and 39 metastatic lymph nodes from NSABP clinical trial C-07 utilizing routinely processed FFPET (formalin-fixed paraffin-embedded tissue).

    RESULTS: Among the 238 common hot-spot cancer mutations in 19 genes interrogated by the OncoCarta panel, mutations were detected in 7 different genes at 26 different nucleotide positions in our colon cancer samples. Twenty-four assays that detected mutations in more than 1% of the samples were reconfigured into a new multiplexed panel, termed here as ColoCarta. Mutation profiling was repeated on 32 mutant samples using ColoCarta and the results were identical to results with OncoCarta, demonstrating that this methodology was reproducible. Further evidence demonstrating the validity of the data was the fact that the mutation frequencies of the most common colon cancer mutations were similar to the COSMIC (Catalog of Somatic Mutations in Cancer) database. The frequencies were 43.5% for KRAS, 20.1% for PIK3CA, and 12.1% for BRAF. In addition, infrequent mutations in NRAS, AKT1, ABL1, and MET were detected. Mutation profiling of metastatic lymph nodes and their corresponding primary tumors showed that they were 89.7% concordant. All mutations found in the lymph nodes were also found in the corresponding primary tumors, but in 4 cases a mutation was present in the primary tumor only.

    CONCLUSIONS: This study describes a high throughput technology that can be used to interrogate DNAs isolated from routinely processed FFPET and identifies the specific mutations that are common to colon cancer. The development of this technology and the ColoCarta panel may provide a mechanism for rapid screening of mutations in clinically relevant genes like KRAS, PIK3CA, and BRAF.

    www.ncbi.nlm.nih.gov/pubmed/20233444

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