61 results about "Tumor Load" patented technology

A biosensor for detection of vascular endothelial growth factor (VEGF) hybridization uses an array of parallel capacitors to detect electrochemical binding of circulating VEGF to immobilized anti-VEGF monoclonal half-antibodies (a-VEGF mhAb). Binding of a-VEGF mhAb modulates the threshold voltage of a circuit, changing the impedance of the circuit. An electrode coated with a p-Si substrate enhances the affinity between the VEGF molecules. A fluid cell delivers VEGF samples onto the active surface of the chip. An array of parallel capacitors arranged in an interdigitated pattern detects the VEGF in the fluid. The detector provides an accurately measured and quantifiable rate of change of the VEGF molecules in vivo, providing real time feedback which is used to measure response of the tumor to delivered chemotherapeutic agents and biological response modifiers (BRMs) for the purpose of determining tumor burden and efficacy of the chemotherapy as part of a homeostatic loop for chemotherapy.

Disclosed herein are methods of using previously unknown soluble forms of CD22 (sCD22) present in the serum of subjects with B-cell leukemias and lymphomas to assess tumor burden in the subjects. Also disclosed are methods of diagnosing or prognosing development or progression of a B-cell lymphoma or leukemia in a subject, including detecting sCD22 in a body fluid sample taken or derived from the subject, for instance serum.

The CellTracks® System provides a system to enumerate circulating melanoma cells in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies circulating melanoma cells. The absolute number of circulating melanoma cells detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. Diagnosis and monitoring of melanoma has been limited by the inability to monitor circulating melanoma cells. The present invention provides a method to enumerate circulating melanoma cells in blood samples. Accordingly, this technology provides a means and device for monitoring disease progression in patients with melanoma.

Polynucleotides, as well as polypeptides encoded thereby, that are differentially expressed in SCCC cells are provided. The polynucleotides find use in diagnosis of cancer, and classification of cancer cells according to expression profiles. The methods are useful for detecting cervical cancer cells, facilitating diagnosis of cervical cancer and the severity of the cancer (e.g., tumor grade, tumor burden, and the like) in a subject, facilitating a determination of the prognosis of a subject, and assessing the responsiveness of the subject to therapy.

Methods and compositions for treating a subject hosting a non-ACTH-secreting pancreatic tumor are disclosed. The methods include administering to the subject a chemotherapeutic agent and a glucocorticoid receptor modulator (GRM), preferably a selective glucocorticoid receptor modulator (SGRM), to reduce the tumor load in the subject. The GRM may be a nonsteroidal GRM, and may be a nonsteroidal SGRM. The non-ACTH-secreting pancreatic tumor may be an exocrine pancreatic tumor.The nonsteroidal SGRM may be a nonsteroidal compound comprising: a fused azadecalin structure; a heteroaryl ketone fused azadecalin structure; or an octahydro fused azadecalin structure. Pharmaceutical compositions comprising a chemotherapeutic agent and a GRM are disclosed. The GRM in such pharmaceutical compositions may be a nonsteroidal GRM, and may be a SGRM, such as a nonsteroidal SGRM. The nonsteroidal SGRM may comprise: a fused azadecalin structure; a heteroaryl ketone fused azadecalin structure; or an octahydro fused azadecalin structure.

A method, and system, to induce remission in diseases characterized by excess production of sTNR and interleukin 2 has been developed. In the most preferred embodiment, the system consists of antibodies to sTNFR1, sTNFR2 and sIL2R immobilized in a column containing a material such as SEPHAROSE™. The patient is connected to a pheresis machine which separates the blood into the plasma and red cells, and the plasma is circulated through the column until the desired reduction in levels of sTNFR1, sTNFR2, and IL2 is achieved, preferably to less than normal levels. In the preferred method, patients are treated three times a week for four weeks. This process can be repeated after a period of time. Clinical studies showed reduction in tumor burden in patients having failed conventional chemotherapy and radiation treatments.

Small RNA sequences that are differentially expressed in SCCC cells are provided. The sequences find use in diagnosis of cancer, and classification of cancer cells according to expression profiles. The methods are useful for detecting cervical cancer cells, facilitating diagnosis of cervical cancer and the severity of the cancer (e.g., tumor grade, tumor burden, and the like) in a subject, facilitating a determination of the prognosis of a subject, and assessing the responsiveness of the subject to therapy.

The invention provides a method and device for identifying tumor loads in samples, and particularly provides a method for identifying tumor loads in the samples in a non-diagnostic mode. The method comprises the steps that 1, a sample to be tested is provided; 2, sequencing is performed on the sample to be tested, and therefore a genome sequence of the sample is obtained; 3, the genome sequence obtained in the step 2 is compared with a reference genome, and therefore position information of the genome sequence on the reference genome is obtained; 4, the reference genome is divided into M region fragments, wherein each region fragment is a window b, and a copying number of each window b is calculated; 5, each window b in the step 4 is subjected to Z testing, so that a Z value of each window b is calculated; 6, according to the Z value obtained in the step 5, GAS is calculated, and tumor loads in the sample to be tested are identified on the basis of the value of GAS. According to the method and system, sensitivity and universality of tumor detection can be improved.

Systems and methods for multi-modal, multi-resolution deep learning neural networks for segmentation, outcomes prediction and longitudinal response monitoring to immunotherapy and radiotherapy are detailed herein. A structure-specific Generational Adversarial Network (SSGAN) is used to synthesize realistic and structure-preserving images not produced using state-of-the art GANs and simultaneously incorporate constraints to produce synthetic images. A deeply supervised, Multi-modality, Multi-Resolution Residual Networks (DeepMMRRN) for tumor and organs-at-risk (OAR) segmentation may be used for tumor and OAR segmentation. The DeepMMRRN may combine multiple modalities for tumor and OAR segmentation. Accurate segmentation is may be realized by maximizing network capacity by simultaneously using features at multiple scales and resolutions and feature selection through deep supervision. DeepMMRRN Radiomics may be used for predicting and longitudinal monitoring response to immunotherapy. Auto-segmentations may be combined with radiomics analysis for predicting response prior to treatment initiation. Quantification of entire tumor burden may be used for automatic response assessment.

A database for predicting clinical outcomes based upon quantitative tumor burden in lymph node samples from an individual is provided. The database comprises data sets from a plurality of individuals. The data sets include clinical outcome data and data regarding number of lymph nodes evaluated, maximum number of biomarker detected in any single node, median normalized expression levels detected across all evaluated lymph nodes and the maximum normalized expression levels detected in any evaluated lymph nodes and the database also includes stratified risk categories based upon recursive partitioning of data. A system for predicting clinical outcomes based upon quantitative tumor burden in lymph node samples from an individual is provided which includes the database linked to a data processor, an input interface and an output interface. Method of preparing a database and method for predicting clinical outcome for a test patient based upon quantitative tumor burden in lymph node samples from an individual using a system that includes the database linked to a data processor, an input interface and an output interface. The method comprises measuring quantitative tumor burden in a plurality of lymph node samples from an individual, inputting the results into the system and processing with data in the database. The results of the processing of the data is the assignment of data test patient to a stratified risk category. Output is produced that displays test patient's identity and assigned stratified risk category.

We have established and studied a colony of mice with a unique trait of host resistance to both ascites and solid cancers induced by transplantable cells. One dramatic manifestation of this trait is age-dependent spontaneous regression of advanced cancers. This powerful resistance segregates as a single-locus dominant trait, is independent of tumor burden and is effective against cell lines from multiple types of cancer. During spontaneous regression or immediately following exposure, cancer cells provoke a massive infiltration of host leukocytes which form aggregates and rosettes with tumor cells. The cytolytic destruction of cancer cells by innate leukocytes is rapid and specific without apparent damage to normal cells. The mice are healthy, cancer-free and have a normal life span. These observations suggest a previously unrecognized mechanism of immune surveillance that may have potential for therapy or prevention of cancer.