61 results about "Tumor Load" patented technology

A cancer test having prognostic utility in predicting time to disease progression, overall survival, and response to therapy in patients with MBC based upon the presence and number of CTC's. The Cell Spotter® System is used to enumerate CTC's in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies CTC's. The absolute number of CTC's detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. The mean time to survival of patients depended upon a threshold number of 5 CTC's per 7.5 ml of blood. Detection of CTC's in metastatic cancer represents a novel prognostic factor in patients with metastatic cancers, suggests a biological role for the presence of tumor cells in the blood, and indicates that the detection of CTC's could be considered an appropriate surrogate marker for prospective therapeutic clinical trials.

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.

A cancer test having prognostic utility in predicting time to disease progression, overall survival, and response to therapy in patients with MBC based upon the presence and number of CTC's. The Cell Spotter® System is used to enumerate CTC's in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies CTC's. The absolute number of CTC's detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. The mean time to survival of patients depended upon a threshold number of 5 CTC's per 7.5 ml of blood. Detection of CTC's in metastatic cancer represents a novel prognostic factor in patients with metastatic cancers, suggests a biological role for the presence of tumor cells in the blood, and indicates that the detection of CTC's could be considered an appropriate surrogate marker for prospective therapeutic clinical trials.

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.

The invention discloses a method and system for assessing tumor load change. The method can accurately and flexibly assess a tumor load and provide molecular biological characteristics of tumor cells. In the method, detection samples are free DNA samples at a plurality of time nodes, free DNA variation is detected, a molecular tumor load index is calculated according to the frequency of variation, and the change trends of the molecular tumor load index are compared at a plurality of time nodes so as to reflect the change trend of the tumor load.

The present invention provides methods for enhancing the development of APC from precursor cells by administering a combination of GM-CSF and IL-4. The precursor cells include: cells contained in peripheral blood, CD14⁺ cells and precursors in bone marrow. Thus, administration of GM-CSF and IL-4 can be used as a form of cytokine immunotherapy. One embodiment of the present invention involves systemic administration of GM-CSF and IL-4. In this embodiment, APC are required to directly access tumor antigens as they exist in vivo within the patient. A further embodiment of the present invention involves co-administration of a tumor-associated or tumor-specific antigen, with GM-CSF and IL-4, to induce antigen-specific immunity mediated by APC. Yet another embodiment of the present invention describes systemic administration of GM-CSF and IL-4 to achieve reduced tumor burden.

The described invention provides pharmaceutical compositions, systems and methods for treating a non-small cell lung cancer (NSCLC) solid tumor comprising a population of tumor cells. The method includes administering a pharmaceutical composition comprising a therapeutic amount of a polypeptide having the amino acid sequence YARAAARQARAKALARQLGVAA (SEQ ID NO: 1) or functional equivalent thereof, and a pharmaceutically acceptable carrier, wherein therapeutic amount of the polypeptide is effective to inhibit a kinase activity in the population of tumor cells and to reduce cancer cell proliferation, to reduce tumor size, to reduce tumor burden, to induce tumor cell death, to overcome tumor chemoresistance, to enhance tumor chemosensitivity, or a combination thereof.

Compositions and fragment length analysis methods are provided for detecting CALR mutations and determining tumor load in patients with myeloproliferative neoplasms.

The invention discloses a probe for detecting a circulating tumor DNA (Deoxyribonucleic Acid) of a human breast cancer and application of the probe, belonging to the field of diagnosis and prevention of diseases. The invention designs a breast cancer selector which consists of DNA segments in mutation regions of related genes of the breast cancer. The circulating tumor DNA (ctDNA) of a breast cancer patient is subjected to liquid-phase hybridization capture by using the probe designed by the selector; after high-throughput sequencing, specific cancer gene variation of a patient is found, and a tumor load is monitored. Compared with a conventional detection means, the probe and the application thereof disclosed by the invention have the characteristics of no invasiveness, high throughout, good sensitivity and specificity, and the like; the probe and the application thereof can be used for better screening and early-stage diagnosis of the human breast cancer and are applied to individualized treatment of cancer.

Disclosed are methods for treating cancer (e.g., solid tumor cancers, lung cancer, bladder head and neck cancer) with an anti-PD-L1 antibody in a patient identified as being responsive to anti-PD-L1 antibody therapy by detecting a mutation in one or more disclosed circulating tumor DNA (ctDNA) markers. Also disclosed are methods for determining the efficacy of anti-PD-L1 therapeutic antibody treatment in a patient having lung cancer or bladder cancer comprising detecting variant allele frequency in ctDNA in plasma samples and determining the difference of the variant allele frequency in ctDNA between the first and at least second plasma samples, wherein a decrease in the variant allele frequency in the at least second plasma sample relative to the first plasma sample identifies the anti-PD-L1 antibody treatment as effective. The disclosure also provides methods of identifying a subject having a cancer responsive to a therapy comprising an anti-PD-L1 antibody by detecting the expression of a mutation in one or more circulating tumor DNA (ctDNA) markers.

A means for following the growth of experimental neoplasms involves administering recombinant tumor cells containing an expression construct encoding a secretable marker to an experimental animal and measuring secreted marker in the urine of animals bearing tumors formed by such recombinant tumor cells. Urinary marker levels are quantitatively related to tumor loads. Urinary marker can be detected before tumors are grossly visible or clinically apparent. Marker levels decrease following surgical excision or chemotherapeutic treatment, with an estimated half-life of 11 hours. This approach is applicable to the study of many experimental tumor systems.

The CellTracks® System provides a system to enumerate CTC's in blood. The system immunomagnetically concentrates epithelial cells, fluorescently labels the cells and identifies and quantifies CTC's. The absolute number of CTC's detected in the peripheral blood tumor load is, in part, a factor in prediction of survival, time to progression, and response to therapy. Pre-clinical studies of circulating tumor cells (CTC's) have been limited by the inability to repetitively monitor CTC's in animal models. The present invention provides a method to enumerate CTC's in blood samples obtained from living mice, using a protocol similar to an in vitro diagnostic system for quantifying CTC's in patients. Accordingly, this technology can be adapted for serial monitoring of CTC's in mouse xenograft tumor models of human breast cancer.

The invention provides a method for diagnosing bone metastases in nuclide bone imaging based on deep learning. The method relates to a bone scanning diagnosis classification model, a bone metastasis tumor region segmentation model and a bone metastasis tumor load evaluation and automatic report generation model. By the adoption of the method, the bone metastasis tumor can be judged, automatic region segmentation can be conducted, the recognition accuracy is high, and full-automatic analysis from original image input to report generation is preliminarily achieved.

The invention provides a host factor hPRDX5 with an anti-tumor effect, an encoding gene and application of the host factor, and belongs to the technical field of cancer treatment. The host factor hPRDX5 is a single protein component, has the advantages of good preparation repeatability and controllable quality, does not generate immunogenicity when applied to humans and has incomparable advantagescompared with ACBPs. The host gene hPRDX5 can significantly inhibit growth of in-situ pancreatic cancer tumors, and by studying the adjustment and control effects of the hPRDX5 on CD4, CD8, NKT and MDSCs cells in a tumor immunity micro-environment of a pancreatic cancer mouse, it is discovered that compared with a control group, the proportion of CD4+T, CD8+T and NKT cells in pancreatic tumor tissue is significantly increased after treatment by the hPRDX5. Therefore through application of the host factor hPRDX5 in preparation of anti-tumor drugs, the tumor load can be effectively reduced, andthe period of survival with tumors is prolonged.

The invention provides a late breast cancer survival probability prediction nomogram, a survival probability determination method and a patient classification method. The nomogram comprises a score scale and a plurality of prognostic variables, and the prognostic variables are classification variables and comprise a breast cancer staging variable, a breast cancer molecular typing variable, a patient disease-free recurrence time variable, a tumor load variable and a brain metastasis variable; each prognostic variable comprises a plurality of variable values, and each variable value correspondsto one score on the score scale; the nomogram also comprises a total score scale and patient survival probability variables which are continuous variables and comprise a one-year survival probabilityvariable, a two-year survival probability variable and a three-year survival probability variable, wherein each survival probability variable comprises a variable value range, and each variable valuerange has a score range corresponding to the total score scale; the development of medical science is considered, and meanwhile, the requirements of domestic patients are considered, so that the evaluation accuracy of the advanced breast cancer is improved.

Presented herein are systems and methods that provide for improved detection and characterization of lesions within a subject via automated analysis of nuclear medicine images, such as positron emission tomography (PET) and single photon emission computed tomography (SPECT) images. In particular, in certain embodiments, the approaches described herein leverage artificial intelligence (AI) to detect regions of 3D nuclear medicine images corresponding to hotspots that represent potential cancerous lesions in the subject. The machine learning modules may be used not only to detect presence and locations of such regions within an image, but also to segment the region corresponding to the lesion and/or classify such hotspots based on the likelihood that they are indicative of a true, underlying cancerous lesion. This AI-based lesion detection, segmentation, and classification can provide a basis for further characterization of lesions, overall tumor burden, and estimation of disease severity and risk.

The invention relates to a united medicine composition for resisting double-hit lymphomas and application of the united medicine composition for resisting double-hit lymphomas. The united medicine composition comprises a medicine Venetoclax and a medicine Chiauranib. According to the united medicine composition disclosed by the invention, the medicine Venetoclax and the medicine Chiauranib are creatively united to be used as the united medicine composition for resisting double-hit lymphomas; the inventor finds that the united medicine composition for resisting double-hit lymphomas has significant killing effects on varied DHL cell strains, and presents concentration dependence and time dependence; the research result of in vitro tumor formation experiment also proves that the united medicine composition for resisting double-hit lymphomas can restrain the growth of DHL cells in vivo, alleviates tumor load and immersion degree, and does not have obvious toxic and side effects; and the united medicine composition for resisting double-hit lymphomas has higher activity for resisting double-hit lymphomas than single Venetoclax or single Chiauranib, and can more effectively restrain the growth of in vivo tumors, and a new strategy and thought are provided for the treatment of the resisting double-hit lymphomas.

The invention belongs to the technical field of medical detection and provides a quantitative expression method and system for a human tumor burden. The system comprises a data acquisition module, a prediction index calculation module and a tumor burden index output module. The data acquisition module is used for obtaining N detection indexes of gene detection and/or biochemical detection and index values corresponding to the detection indexes; the prediction index calculation module is used for determining a weight array and offsets of the N detection indexes, and is further used for determining a prediction index according to the index values, the weight array and the offsets of the N detection indexes; and the tumor burden index output module determines a tumor burden index (TBI) according to the prediction index. According to the quantitative expression method and system for the human tumor burden, a gene detection/biochemical detection result is comprehensively assessed and the human tumor burden can be expressed concisely, visually and stably.

The invention discloses an application of an outer membrane protein in preparation of malignant tumor immunotherapy drugs. The outer membrane protein is an outer membrane protein of akkermansia, can reduce tumor load, inhibit tumor growth and activate T cell related anti-tumor immune response, and can be applied to preparation of various malignant tumor immunotherapy drugs.