Abstract: Systems, methods, and devices for generating synthetic genomic datasets and validating bioinformatic pipelines for genomic analysis are disclosed. In preferred embodiments, synthetic maternal and paternal datasets with known variants are used with matched normal synthetic datasets to validate various bioinformatic pipelines. Bioinformatic pipelines are evaluated using the synthetic datasets to assess design changes and improvements. Accuracy, PPV, specificity, sensitivity, reproducibility, and limit of detection of the pipelines in calling variants in synthetic datasets is reported.

Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.

Abstract: A computer implemented method of generating at least one shape of a region of interest in a digital image is provided.

Abstract: Techniques are provided for predicting DNA accessibility. DNase-seq data files and RNA-seq data files for a plurality of cell types are paired by assigning DNase-seq data files to RNA-seq data files that are at least within a same biotype. A neural network is configured to be trained using batches of the paired data files, where configuring the neural network comprises configuring convolutional layers to process a first input comprising DNA sequence data from a paired data file to generate a convolved output, and fully connected layers following the convolutional layers to concatenate the convolved output with a second input comprising gene expression levels derived from RNA-seq data from the paired data file and process the concatenation to generate a DNA accessibility prediction output. The trained neural network is used to predict DNA accessibility in a genomic sample input comprising RNA-seq data and whole genome sequencing for a new cell type.

Abstract: Various compounds, compositions, and methods for inhibition of Rit1 are presented. In especially preferred aspects, contemplated compounds and compositions are suitable for treatment of cancers and other diseases associated with Rit1 signaling.

Abstract: Methods are provided for treating a cancer patient suffering from a glioblastoma (GBM) by administering to the patient an effective amount of temozolomide, wherein a mass spectrometry analysis of a protein digest of a formalin-fixed tumor sample from the patient evidences an amount of a MGMT fragment peptide less than or substantially equal to 150 amol/?g.

Abstract: Methods are provided herein for identifying whether a cancer patient, for example a colorectal cancer patient, will be responsive to treatment with a therapeutic strategy comprising administration of the FOLFOX regimen (5-fluorouracil, leucovorin, and oxaliplatin). Specified TYMP and UCK2 fragment peptides are precisely detected and quantitated by SRM-mass spectrometry directly in tumor cells, for example colorectal cancer tumor cells, that are collected from tumor tissue obtained from a cancer patient and compared to reference levels in order to determine if the cancer patients will positively respond to treatment with the combination treatment of FOLFOX (5-fluorouracil, leucovorin, and oxaliplatin).

Abstract: Improved methods for treating cancer are provided herein by determining if a cancer patient, particularly a colon cancer patient or a gastric cancer patient, will clinically respond in a favorable manner to a therapeutic strategy comprising the FOLFOX regimen (fluorouracil, leucovorin, and oxaliplatin) or a combination of capecitabine and cisplatin. Diagnostic methods for measuring the OPRT, TYMP, and/or UCK2 proteins in a tissue sample, such as a tumor sample, from the patient are provided.

Abstract: A computer implemented method of generating at least one shape of a region of interest in a digital image is provided.

Abstract: Methods are provided for quantifying the cyclin-dependent kinase inhibitor 2A protein (p16) p16 protein directly in biological samples that have been fixed in formalin by SRM/MRM mass spectrometry. A protein sample is prepared from the biological sample using, for example, the Liquid Tissue reagents and protocol and the p16 protein is quantitated in the resulting sample by quantitating in the protein sample at least one fragment peptide from p16. Peptides can be quantitated in modified or unmodified form. An example of a modified form of a p16 peptide is phosphorylation of a tyrosine, threonine, serine, and/or other amino acid residues within the peptide sequence.

Abstract: Omics patient data are analyzed using sequences or diff objects of tumor and matched normal tissue to identify patient and disease specific mutations, using transcriptomic data to identify expression levels of the mutated genes, and pathway analysis based on the so obtained omic data to identify specific pathway characteristics for the diseased tissue. Most notably, many different tumors have shared pathway characteristics, and identification of a pathway characteristic of a tumor may thus indicate effective treatment options ordinarily not considered when tumor analysis is based on anatomical tumor type only.

Abstract: A computer implemented method of generating at least one shape of a region of interest in a digital image is provided.

Abstract: Various compounds, compositions, and methods for inhibition of Rit1 are presented. In especially preferred aspects, contemplated compounds and compositions are suitable for treatment of cancers and other diseases associated with Rit1 signaling.

Abstract: Contemplated cancer treatments comprise recursive analysis of patient-, cancer-, and location-specific neoepitopes from various biopsy sites of a patient after treatment or between successive rounds of immunotherapy and/or chemotherapy to inform further immunotherapy. Recursive analysis preferably includes various neoepitope attributes to so identify treatment relevant neoepitopes.

Abstract: Various compounds, compositions, and methods for inhibition of Rit1 are presented. In especially preferred aspects, contemplated compounds and compositions are suitable for treatment of cancers and other diseases associated with Rit1 signaling.

Abstract: Techniques are provided for predicting DNA accessibility. DNase-seq data files and RNA-seq data files for a plurality of cell types are paired by assigning DNase-seq data files to RNA-seq data files that are at least within a same biotype. A neural network is configured to be trained using batches of the paired data files, where configuring the neural network comprises configuring convolutional layers to process a first input comprising DNA sequence data from a paired data file to generate a convolved output, and fully connected layers following the convolutional layers to concatenate the convolved output with a second input comprising gene expression levels derived from RNA-seq data from the paired data file and process the concatenation to generate a DNA accessibility prediction output. The trained neural network is used to predict DNA accessibility in a genomic sample input comprising RNA-seq data and whole genome sequencing for a new cell type.

Abstract: Compounds and compositions are presented that inhibit K-ras, and especially mutant K-ras. Certain compounds preferentially or even selectively inhibit specific forms of mutant K-Ras, and particularly the G12D mutant form.

Abstract: Methods are provided for identifying whether a tumor will be responsive to treatment with an anti-EGFR agent. Specific protein fragment peptides are precisely detected and quantitated by SRM-mass spectrometry directly in tumor cells collected from tumor tissue that was obtained from a cancer patient and compared to reference levels in order to determine if the lung cancer patient will positively respond to treatment with an anti-EGFR agent such as, for example, pamitumumab and/or erbitux.

Abstract: Specific mutations of FGFR3 (S249C) and of TP53 (V272M) are identified as being characteristic of breast cancer, and of having utility in diagnosis and prognosis of an individual with breast cancer. Systems and methods useful for identification of such mutations are also presented.

Abstract: This disclosure provides a technology for users to gain first-hand knowledge and experience with interpreting whole genomes. The technology graphically depicts variations in genome sequences in an expandable display, and provides a platform whereby the user may find and research the biological significance of such variants. The technology also provides a unique collaborative environment designed to capture and improve the collective knowledge of the participating community.