Monday, June 2, 2014

Gene amplifications in cancer TCGA datasets – Hosein Kouros-Mehr

The Cancer Genome Atlas (TCGA) projects have advanced our understanding of the driver mutations, genetic backgrounds, and key pathways that drive cancer types. We recently published* our efforts to identify genes that are commonly amplified in cancers and display a cancer driver signature.  Put in another way, we devised a bioinformatics screening strategy to identify putative cancer driver genes amplified across TCGA datasets
 
We carried out a GISTIC bioinformatics analysis of TCGA datasets spanning 16 cancer subtypes and identified 486 genes that were amplified in two or more datasets.  These cancer types include BLCA – Bladder Urothelial Carcinoma, BRCA – Breast invasive carcinoma, CESC – Cervical squamous cell carcinoma and endocervical adenocarcinoma, CRC – Colorectal Cancer (COAD and READ studies combined together), GBM – Glioblastoma multiforme, HNSC – Head and Neck squamous cell carcinoma, KIRC – Kidney renal clear cell carcinoma, LGG – Brain Lower Grade Glioma, LUAD- Lung adenocarcinoma, LUSC -
Lung squamous cell carcinoma, OV – Ovarian serous cystadenocarcinoma, PAAD – Pancreatic adenocarcinoma, PRAD – Prostate adenocarcinoma, SKCM – Skin Cutaneous Melanoma, STAD – Stomach adenocarcinoma, UCEC – Uterine Corpus Endometrioid Carcinoma.
 
 
From the 486 genes, we identified 75 cancer-associated genes with potential “druggable” properties. The majority of the genes were localized to 14 amplicons spread across the genome.  Genes within an amplicon tended to be amplified in the same cancer subtypes.  To further identify potential cancer driver genes, we analyzed gene copy number and mRNA expression data from individual patient samples and identified 42 putative cancer driver genes linked to diverse oncogenic processes. Oncogenic activity was further validated by siRNA/shRNA knockdown and by referencing the Project Achilles datasets.
 
The amplified cancer driver genes represented a number of gene families, including epigenetic regulators, cell cycle-associated genes, DNA damage response/repair genes, metabolic regulators, and genes linked to the Wnt, Notch, Hedgehog, JAK/STAT, NF-KB and MAPK signaling pathways. Among the 42 putative driver genes were known driver genes, such as EGFR, ERBB2 and PIK3CA. Wild-type KRAS was amplified in several cancer types, and KRAS-amplified cancer cell lines were most sensitive to KRAS shRNA, suggesting that KRAS amplification was an independent oncogenic event. A number of MAP kinase adapters were co-amplified with their receptor tyrosine kinases, such as the FGFR adapter FRS2 and the EGFR family adapters GRB2 and GRB7. The ubiquitin-like ligase DCUN1D1 and the histone methyltransferase NSD3 were also identified as novel putative cancer driver genes.
 
The data presented can be used for patient tailoring efforts — in other words, to tailor novel therapeutics to the patients whose cancers contain the genetics drivers in question and would benefit most from the targeted therapy.  The data can also be used to identify potential novel opportunities for drug discovery efforts.
 
Hosein Kouros-Mehr

Chen YMcGee JChen XDoman TNGong XZhang YHamm NMa XHiggs REBhagwat SVBuchanan SPeng SBStaschke KA,Yadav VYue YKouros-Mehr H. (2014)  Identification of Druggable Cancer Driver Genes Amplified across TCGA Datasets.  PLoS One. 2014 May 29;9(5):e98293. doi: 10.1371/journal.pone.0098293. eCollection 2014.

Thursday, May 22, 2014

Novel method to treat diabetes - Hosein Kouros-Mehr

Maianti, et. al.  (2014).  Anti-diabetic activity of insulin-degrading enzyme inhibitors mediated by multiple hormones
Nature, doi:10.1038/nature13297
.Hosein Kouros-Mehr

Friday, May 16, 2014

Evidence of cancer stem cells in patient tumors - Hosein Kouros-Mehr

May 15, 2014

A recent paper* in Cancer Cell provides evidence of cancer stem cells in patient-derived tumors, which may validate the cancer stem cell hypothesis in a hematopoietic malignancy.  The cancer stem cell hypothesis has remained controversial due to experimental confounding variables, such as the strain of mice used for cancer stem cell implantation.  This study suggests that a rare population of LinCD34+CD38CD90+CD45RA cells function as the propagating cells in patients with low- to intermediate-risk myelodysplastic syndrome.

Myelodysplastic syndromes (MDS) are clonal hematopoietic disorders characterized by inefficient hematopoiesis and frequent progression to AML.  The authors of the study obtained MDS cells from patients and compared the relationships between  Lineage (Lin)CD34+CD38CD90+CD45RA candidate MDS-SCs with myeloid-restricted granulocyte-macrophage and megakaryocyte-erythroid progenitors (GMPs and MEPs).  They also transplanted the LinCD34+CD38CD90+CD45RA cells into mice and found that they gave rise to tumors with the same molecular signatures as those isolated directly from the patients.  The Lin−CD34+CD38−CD90+ MDS-SCs were molecularly and functionally distinct from clonally involved GMPs and MEPs and the Lin−CD34+CD38−CD90+ cells were able to replenish GMPs and MEPs, establishing their hierarchical relationship.

The authors found that deletion of 5q was among the first genetic lesions in MDS in the cancer stem cell population.  The 5q deletion was found to precede the acquisition of recurrent driver mutations in MDS , which served to confer self-renewal properties to MDS progenitors.

* Woll, et. al. (2014).  Myelodysplastic Syndromes Are Propagated by Rare and Distinct Human Cancer Stem Cells In Vivo.  Cancer Cell, in press

Friday, May 9, 2014

Novel immunotherapy approach - Hosein Kouros-Mehr

A recent paper* in Science reports that T cells recognizing a mutant protein found only in cancer cells can elicit an anti-tumor response when injected into a patient with end-stage epithelial cancer.  
The authors show that a 43-year old patient with metastatic cholangiocarcinoma carried tumor-infiltrating lymphocytes that recognized a mutant form of erbb2-interacting protein (ERBB2IP).  To do this, the authors resected lung metastases from the patient for whole exome sequencing and found 26 nonsynonymous mutations.  For each mutation, they created minigene constructs (containing the mutation and 12 flanking amino acids) and transfected constructs into antigen-presenting cells for co-culture with patient-derived tumor-infiltrating lymphocytes.  They found that  a patient-derived T-cell clone responded to mutant ERBB2IP and elicited a T-cell response with the release of IFN-gamma and activation of OX40 and 4-1BB.
The mutated ERBB2IP-specific T cells from the patient were then expanded and used for adoptive transfer to determine if these cells could elicit an anti-tumor response in the patient.  The patient received 42.4 billion tumor-infiltrating lymphocytes containing these T cell clones and also received 4 doses of IL-2 to enhance T-cell proliferation.  The patient displayed tumor regression 2 months after therapy, despite showing evidence of progressive disease prior to treatment.  The patient showed disease stabilization for 13 months after therapy, after which time she experienced disease progression in lungs but not liver.  
Further work will be necessary to validate this approach in cancer therapy.  T-cell adoptive transfer was previously shown to be a viable option for cancer patients, and the explosion of cancer mutation data from TCGA and other sources will offer new targets for cancer immunotherapy.

*Tran, et. al. (2014). Cancer Immunotherapy Based on Mutation-Specific CD4+ T Cells in a Patient with Epithelial Cancer. Science Vol. 344 no. 6184 pp. 641-645 DOI: 10.1126/science.1251102

Hosein Kouros-Mehr

Wednesday, April 23, 2014

Novel mechanism for cancer metastasis - Hosein Kouros-Mehr

Thursday, April 10, 2014

Novel mutations discovered in a form of ovarian cancer Hosein Kouros-Mehr





A recent paper* in Nature Genetics discovered mutations in the SMARCA4 gene in a form of ovarian cancer known as small cell carcinoma of the ovary.  This cancer is highly aggressive and mostly affects young women.  The authors sequenced tumors from 12 patients and discovered loss of function mutations in SMARCA4 in 100% of the patients (probability of that happening by chance is less than 0.0000000000000002).  The importance of this finding is that it may lead to targeted therapies that can be tailored for patients with this disease.  

The SMARCA4 gene is an ATP-dependent helicase that is part of the SWI/SNF complex.  This complex regulates chromatin remodeling and is important for transcriptional activation of genes that may be normally silenced in heterochromatin.  SWI/SNF complex is composed of many proteins and its mechanism of action is largely unknown, but it is thought that SWI/SNF can destabilize histone-DNA interaction in an ATP-dependent manner and lead to chromatin remodeling of target genes, thereby altering the accessibility and transcription of the target genes.  SMARCA4 is a ATP-dependent helicase, which means it helps separate/unwind the strands of DNA using energy derived from ATP hydrolysis.  

The authors found that SMARCA4 mutations in these patients were all loss of function mutations that lead to significantly less SMARCA4 protein in the cells. Interestingly, the overexpression of SMARCA4 in SMARCA4-null cancer cell lines led to suppression of cell growth, suggesting that SMARCA4 is a bona fide tumor suppressor.  The depletion of SMACA4 using lentiviral shRNA knockdown led to increase cell growth in cell lines.  

SMARCA4 mutations are also found in bladder cance, stomach cancer, lung cancer, and glioma (5-8% frequency).  Most of these are missense mutations of uncertain consequence, though lung cancers contained frequent inactivating SMARCA4 mutations.  Further work will be necessary to identify candidate targets for drug discovery in SMARCA4 mutant tumors.  For example, the SMARCA2 ATPase may be upregulated in SMARCA4 mutant tumors and could be a candidate target in this patient population.  Further validation will be necessary to evaluate this potential new target.  

Jelinic, P., et. al.  (2014).  Recurrent SMARCA4 mutations in small cell carcinoma of the ovary.  



Nature Genetics
 
23 March 2014

Hosein Kouros-Mehr

Monday, April 7, 2014

the end of Tech Bubble 2.0? Hosein Kouros-Mehr

Is this the beginning of the end?

We are all familiar with the tech bubble of the late 1990s and crash in the early 2000s.  Could the charts be setting up for a similar tech crash this year?  While it is too early to tell, there are worrisome developments in technology stocks that could easily trigger a correction is not an outright crash over the next 12 months.  While this is a purely technical argument, the Nasdaq has not reached the highs of the 2000s and the animal spirits in today's market do not match those in the earlier bubble.  But it could be the memories of the first tech bubble crash that prevents the rise of the 2nd tech bubble today.

Here is the weekly Nasdaq-100 chart from 1998-2001.  Beginning in October 1998, the Nasdaq-100 spent 17 months above the 20 day weekly moving average and tested it 4 times during that time.  Then came a blow off top with a huge bearish engulfing candle that pierced the 20 day MA in March 2000.  It wasn't until 6 months later that it failed at the 50 day MA and began to crash to pre-rally levels.  The technical damage occurred swiftly and came as a surprise to many.  The wise ones took their money out during the period of consolidation before the crash.




Here is the Nasdaq-100 chart from the last two years. As in the previous chart, the Nasdaq-100 spent 15 months above the 20 day MA and tested it 4 times.  Over the last week it broke through the 20 day MA to the downside.  To continue the uptrend as it stands, the Nasdaq-100 will need to bounce quickly above the 20 day MA and while Janet Yellen may be the one who can do that, it appears that it's time to test the 50 day MA.  While it's too early to say whether "Tech Bubble 2.0" is truly over, caution is warranted in the near term.




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Hosein Kouros-Mehr