164 results about "Cancer detection" patented technology

The invention belongs to the technical field of immunochemistry, and particularly relates to an anti-PR recombinant rabbit monoclonal antibody and application thereof.The anti-PR recombinant rabbit monoclonal antibody comprises a heavy chain variable region and a light chain variable region, and the amino acid sequence of the heavy chain variable region is shown as SEQ ID NO: 4; the amino acid sequence of the light chain variable region is as shown in SEQ ID NO: 5. The invention also relates to a nucleotide sequence for coding the anti-PR recombinant rabbit monoclonal antibody, a recombinant plasmid or an expression vector, a preparation method, application of the anti-PR recombinant rabbit monoclonal antibody in a PR protein detection method or device, and the like. The PR recombinant rabbit monoclonal antibody disclosed by the invention has the characteristics of good specificity, strong positive signal and the like, so that scoring is easier in IHC staining, and cancer detection and distinguishing are more accurate.

In implementations described herein, sequence representations are identified having at least at threshold likelihood of corresponding to a nucleic acid molecule produced by a subject in which a tumor-related biological condition is present. The identified sequence representations can be provided to a machine learning classification model to determine an indication of the tumor-related biological condition being present in subjects.

A method for preparing a dual-mode immune structure based on a surface-enhanced Raman substrate and an up-conversion luminescent probe, and an application thereof. The dual-mode immune structure based on a surface-enhanced Raman substrate and an up-conversion luminescent probe comprises a copper / black phosphorus / silver nanoflower composite immunosubstrate and a NaGdF4:Yb3+ / Er3+ up-conversion nanoparticle immunoprobe, wherein the copper / black phosphorus / silver nanoflower composite immunosubstrate is prepared using an electrochemical reduction method, and the NaGdF4:Yb3+ / Er3+ up-conversion nanoparticle immunoprobe is prepared using a hydrothermal method. During the application to cancer detection, assembling an immunosubstrate and an immunoprobe realizes the combination of up-conversion luminescence and surface-enhanced Raman spectroscopy technology for realizing dual-mode detection of cancer biomarkers. Thus, simple operation and high detection sensitivity are achieved, thereby facilitating efficient and precise clinical screening and identification of cancer biomarkers.

The present description provides a cancer assay panel for targeted detection of cancer-specific methylation patterns. Further provided herein includes methods of designing, making, and using the cancer assay panel for diagnosis of cancer.

Images are produced having pixel values based on molecular characteristics and genomic position data corresponding to nucleic acid molecules derived from a sample. The images can be provided as input to a convolutional neural network that analyzes the images to determine a tumor indication related to a tumor being present in one or more subjects.

The present description provides a cancer assay panel for targeted detection of cancer-specific methylation patterns. Further provided herein are methods of designing, making, and using the cancer assay panel for the diagnosis of cancer.

Biomarkers can be assessed for a variety of uses, including screening, detection, diagnosis, prognosis, risk prediction, disease progression, recurrence, selection of treatment, therapy response, to evaluate a subject's health status, whether the subject presents with no evidence of disease, or a benign or malignant condition such as cancer. Compositions (antibodies, polypeptide and polynucleotide markers) and methods are provided herein, which find application in the early detection of cancer, in the early detection of disease relapse and in monitoring therapy response.

The invention relates to the technical field of biomedical detection, in particular to a urinary tract epithelium cancer detection marker composition based on ONECUT2 and DMRTA2 gene methylation, which comprises a CpG island region of an ONECUT2 gene, a CpG island region of a DMRTA2 gene and a kit for detecting urinary tract epithelium cancer. The CpG island region of the ONECUT2 gene is located in chr18: 57441548-57441674, and the CpG island region of the ONECUT2 gene is located in The CpG island region of the DMRTA2 gene is located in chr1: 50418714-50418823, and the CpG island region of the DMRTA2 gene is located in chr1: The kit for detecting urothelial carcinoma comprises a first primer pair and a first probe which are used for specifically detecting the methylation state of the CpG island region of the ONECUT2 gene in the claim 1, and a second primer pair and a second probe which are used for specifically detecting the methylation state of the CpG island region of the DMRTA2 gene. The urinary tract epithelium cancer detection marker composition based on ONECUT2 and DMRTA2 gene methylation has high sensitivity and high specificity, the sensitivity and the specificity are both 90% or above, early-stage and low-grade urinary tract epithelium cancer can be effectively detected, comprehensive coverage is achieved, and the urinary tract epithelium cancer detection marker composition is not only suitable for bladder cancer, but also suitable for upper urinary tract epithelium cancer such as renal pelvis cancer and ureter cancer.

The present invention discloses a method for cancer pre-screening of a subject. Genetic risks associated with genetic characteristics are determined by sequencing and analyzing cell free DNA ("cfDNA") fragments present in a blood sample of the subject. The clinical risk is determined based on factors such as age, gender, and race. In some cases, clinical factors specific to certain cancers, such as smoking conditions, are combined. By incorporating clinical risks into genomic risk analysis, improved lung cancer pre-screening results are provided, enabling the same number of positive cancer detections to be achieved using a small number of LDCT lung cancer screening times.

The present invention relates to an automatic real-time label-free holography-activated sorting of the cell's technique. The technique provides high-discriminative power on the level of the individual cell. The technique includes rapid automated cell processing during cell visualization and flow, with high discriminative power on the level of the individual cell. The technique may be useful in detection of cancer and to identify different stages of oncogenesis.

This disclosure relates to a technique for identifying tumor-specific mutations through integrated analysis of next-generation sequencing data using machine learning models. In certain embodiments, a computer implementation method is provided, comprising: generating sequence reads from one or more samples collected from the same patient; generating variant calling files by analyzing the sequence reads corresponding to each of the one or more samples; generating a list of candidate somatic variants by comparing the variant calling files; generating a score for each of the candidate somatic variants in the list of candidate somatic variants using a classification machine learning model, wherein the score is generated based on a plurality of classifications generated by the classification machine learning model; determining the ctDNA status for the patient based on the score, wherein the ctDNA status is either positive or negative; and generating a report providing the ctDNA status for the patient.

The present invention addresses the problem of providing a cancer inspection technology in which an olfactory receptor is used. The problem is solved by a cancer test agent containing an insect olfactory receptor protein B' which demonstrates reactivity to multiple types of cancer with the same reactivity direction.

Described herein are methods and compositions related to methylation-based determination and characterization of subjects afflicted with various stages of cancer, including lung cancer and non-small cell lung cancer (NSCLC). Osimertinib is one of the most common precision therapies in non-small cell lung cancer but nearly all patients eventually progress due to somatic mutations and cellular plasticity that bypass the treatment. Defining the cellular plasticity state with epigenetics will help physicians know when to switch therapies.

The invention provides methods for detecting single nucleotide variants in breast cancer, bladder cancer, or colorectal cancer. Additional methods and compositions, such as reaction mixtures and solid supports comprising clonal populations of nucleic acids, are provided. For example, provided here is a method for monitoring and detection of early relapse or metastasis of breast cancer, bladder cancer, or colorectal cancer, comprising generating a set of amplicons by performing a multiplex amplification reaction on nucleic acids isolated from a sample of blood or urine or a fraction thereof from a patient who has been treated for a breast cancer, bladder cancer, or colorectal cancer, wherein each amplicon of the set of amplicons spans at least one single nucleotide variant locus of a set of patient-specific single nucleotide variant loci associated with the breast cancer, bladder cancer, or colorectal cancer; and determining the sequence of at least a segment of each amplicon of the set of amplicons that comprises a patient-specific single nucleotide variant locus, wherein detection of one or more patient-specific single nucleotide variants is indicative of early relapse or metastasis of breast cancer, bladder cancer, or colorectal cancer.

The present application relates to the technical field of cancer detection, in particular to a kind of tumor imaging guided photodynamic therapy reagent.The reagent is named ADS254BE / H2TPP NPs, which is composed of hydrophobic conjugated polymer ADS254BE and tetraphenylporphyrin H2TPP doped polymer microspheres, and the surface of the polymer microspheres also has PSMA modification layer.The reagent is prepared by uniformly mixing ADS254BE, H2TPP and PSMA solution, ultrasonic treatment, room temperature standing, and then evaporating solvent in the solution.The photodynamic diagnosis and treatment reagent provided by the present application shows bright red emission centered at 650nm, relatively large stoke shift, higher singlet oxygen generation rate, and good light stability and biocompatibility.The present application provides a feasible strategy for constructing new optical diagnosis and treatment integrated reagent, and is expected to promote the development of imaging guided photodynamic therapy.

The application finds that SDF4 in a body fluid sample can become a marker for detecting cancer patients with good sensitivity and specificity. By using a reagent for specifically detecting SDF4, gastric cancer, breast cancer, colorectal cancer, pancreatic cancer, esophageal cancer, liver cancer, liposarcoma, bladder cancer, brain tumor, head and neck cancer, gallbladder cancer, ovarian cancer, tongue cancer, or uterine cancer can be detected. The measurement of SDF4 in a body fluid sample is a detection method capable of detecting various cancers by a single test, and can be used for large-scale screening of cancers. In addition, early-stage cancers can be detected with good sensitivity and specificity, so that cancers can be found and treated in an early stage.

The present invention is directed to methods for detecting a colon cancer, methods for determining whether a colon cancer is stable or progressive, methods for determining a risk for disease relapse, and methods for determining a response by a subject having a colon cancer to a therapy.

A method for determining whether a subject is at risk for having a progressing or high-grade pre-invasive lesion, nodule or small mass, or having a solid malignant tumour is described the method comprising: (i) determining a ratio of activated and / or exhausted T cells:naive and / or resting T cells in a sample of blood obtained from the subject, wherein the determining comprises analysing T cells using cytometry to detect the presence or absence of a panel of biomarkers comprising Ki67 and CD39, or (ii) determining a ratio of activated and / or exhausted T cells:T cells which are not activated and / or exhausted T cells in a sample of blood obtained from the subject, wherein the determining comprises analysing T cells using cytometry to detect the presence or absence of a panel of biomarkers comprising Ki67 and CD39, (iii) determining a proportion of activated and / or exhausted T cells as a percentage of T cells in a sample of blood obtained from the subject, wherein the determining comprises analysing T cells using cytometry to detect the presence of a panel of biomarkers comprising Ki67 and CD39, and / or (iv) determining a proportion of activated and / or exhausted T cells as a percentage of T cells in a sample of blood obtained from the subject, wherein the T cells are CD4 T cells, and wherein the determining comprises analysing T cells using cytometry to detect the presence of a panel of biomarkers comprising FoxP3.

Disclosed is a method for diagnosing a cancer health status, or a change in cancer health status, or for diagnosing a risk of cancer change or presence in a patient, comprising determining in a plasma sample from the patient one or more biomarker values corresponding to a complex structure containing alpha-1 antitrypsin (A1AT), and based on the biomarker values, determining the patient as suffering or not suffering from cancer, or having or not having a change in cancer health status, or having or not having a risk of cancer, wherein the cancer is selected from the group consisting of hepatocellular carcinoma (HCC), ovarian cancer (OC), and breast cancer (BC).

The present application relates to the medical technical field, especially to the application of FYB1 gene as a marker in preparation of gastric cancer diagnosis or prognosis judging reagent. The present application research finds that FYB1 gene is highly expressed in gastric cancer tissue and negatively correlated with the prognosis of patients, and can be used as a gastric cancer marker for gastric cancer detection and efficacy evaluation. In addition, FYB1 is positively correlated with the expression of Treg cell marker FOXP3 and co-localized in tissues, suggesting that FYB1 may promote gastric cancer tumor immune escape; the expression of FYB1 gene can significantly inhibit the proliferation, migration and invasion ability of gastric cancer cells, and inhibit tumor growth, indicating that FYB1 gene can be used as a gastric cancer treatment target and play an important role in the treatment of gastric cancer patients.

The invention provides a cancer diagnosis model development method. The cancer diagnosis model development method comprises the steps of constructing a training set and establishing a diagnosis model on the training set. The training set includes miRNA expression profiles from non-cancer subjects and cancer patients having two or more cancer types, and establishing the diagnostic model includes calculating a diagnostic index based on a selected miRNA biomarker set, the selected miRNA biomarker set being obtained from a miRNA ranking in a differential expression analysis of the miRNA expression profiles in the training set. Methods of detecting a target cancer by means of the diagnostic model so developed are also provided. A 4-miRNA-based diagnostic model shows high performance in a verification set, and can realize the sensitivity greater than or equal to 0.98 while maintaining the specificity of 0.99 when detecting various cancers including lung cancer, gastric cancer, biliary tract cancer, bladder cancer, prostate cancer and glioma.

Described herein are nanoparticle drug conjugates (NDCs), which, in certain embodiments, comprise a non-toxic, multi-modality, clinically proven silica-based nanoparticle platform with covalently attached drug molecules / moieties. The nanoparticle drug conjugates (NDCs) demonstrate imaging capability and targeting ligands which efficiently clear through the kidneys. Furthermore, the conjugates incorporate therapeutic agents for cancer detection, prevention, and / or treatment.

The present invention describes a comprehensive system and method for the simultaneous early detection of multiple cancers in a single analysis. The system involves a Liquid Chromatography-Mass Spectrometry (LC-MS) device coupled with processors and AI / ML algorithms. The LC-MS device analyses metabolite ions from dried extracts of biological fluid samples, aligning and normalizing the data while minimizing errors. Quality control processes, including a neural network model and critical ion monitoring, ensure accurate detection. The system employs AI / ML processes to create two models: the Cancer Detection AI (CDAI) Model for identifying cancerous samples, and the Tissue of Origin Identification (TOOAI) Model for distinguishing specific cancer types. The models are applied to test samples, providing scores based on tissue of origin probabilities. The invention aims to revolutionize early cancer detection through advanced analytical and machine learning techniques.

The invention belongs to the technical field of image processing, and provides a gastric cancer detection system, method, equipment and medium based on hyperspectral imaging in order to solve the problem that an existing scheme is inaccurate in early lesion area detection. Simulating structural occlusion or abnormal information elimination in the hyperspectral stomach image, and extracting spatial features of the hyperspectral stomach image; performing frequency domain feature extraction on the hyperspectral stomach image through Fourier transform and a multi-scale average pooling network; performing spectral reconstruction on correlation and background consistency between hyperspectral stomach image modeling wavebands by using image convolution, and performing spectral feature extraction; then the extracted spatial features, frequency features and spectral features are fused, high-sensitivity and high-specificity detection of a focus area can be achieved, and the method is suitable for precise recognition tasks such as early canceration.

The present disclosure provides compositions and methods for the detection and treatment of cancer. Specifically, the compositions of the present technology include novel compounds that may be complexed with a radioisotope. Also disclosed herein are methods of the using the DOTA-haptens of the present technology in diagnostic imaging as well as pretargeted radioimmunotherapy.

The present invention describes a comprehensive system and method for the simultaneous early detection of multiple cancers in a single analysis. The system involves a liquid chromatography-mass spectrometry (LC-MS) instrument coupled with a processor and AI / ML algorithms. The LC-MS instrument analyzes metabolite ions from dried extracts of biological fluid samples and aligns and normalizes the data while minimizing errors. Quality control processes, including neural network models and critical ion monitoring, ensure accurate detection. The system employs an AI / ML process to create two models: a Cancer Detection AI (CDAI) model for identifying cancer samples and a Tissue of Origin Identification (TOOAI) model for distinguishing specific cancer types. These models are applied to test samples and provide a score based on tissue of origin probability. The present invention aims to revolutionize early cancer detection through advanced analytical and machine learning techniques.

AI-Based Salivary Signature Scanning Apparatus for Cancer Detection

A method for detecting cancer or predicting a cancer prognosis is provided. The method involves the detection of Tetraspanin 10 in a sample of bodily fluid from a subject.

The invention relates to a computer-implemented method for detecting oesophageal squamous cell dysplasia (OSCD) or oesophageal squamous cell cancer (OSCC) in a cell sample from a subject. This invention also relates to a computer-implemented method for generating a trained model to detect OSCD or OSCC. This invention also relates to a computer-readable storage medium or a computer program comprising instructions which when executed by a computer, are capable of causing the computer to perform the method. This invention also relates to a kit comprising the computer program or computer-readable storage medium and a non-endoscopic cell collection device. The invention also relates to an apparatus for performing the method. The invention further relates to the use of genome wide instability scores (GWIS) as a diagnostic marker for cancer, wherein GWIS is a measure of the CNV across a plurality of autosomal arms in a cell sample from a subject.

A computer-implemented method for predicting whether a subject has a cancer, comprising providing multimodal data comprising at least two feature types, said feature types comprising a metric of methy