18 results about "EGFR Gene Mutation" patented technology

The invention belongs to the technical field of biomedicine, and particularly relates to tumor neoantigen polypeptide based on EGFR gene mutation and application of the tumor neoantigen polypeptide. According to the effective method for predicting and screening the tumor neoantigen by using the tumor neoantigen prediction platform, the specific mutation of tumor tissues is obtained, and the neoantigen polypeptide with high immunogenicity, high affinity and high activation effect is more accurately predicted; the screened new antigen polypeptide makes up the blank of individualized antigen peptide in treatment of lung cancer NSCLC patients with EGFR-L858R somatic mutation, can be synthesized in a large scale, is used for subsequent standardized and individualized immunotherapy of EGFR-L858R mutation tumor patients, and has a good clinical application prospect.

The present invention discloses a method, system, device and medium for predicting the EGFR gene mutation status, relating to the field of artificial intelligence technology, and aiming to solve the technical problem of low accuracy in predicting EGFR gene mutations in the prior art. The cross-section, coronal plane and sagittal plane of the CT image sample data are input into the feature extraction network module of the EGFR gene mutation prediction model, and the features of the three-plane diagrams within each instance are fused into an instance-level latent vector and used as the output; the latent vector together with the corresponding clinical information is used as the input of the encoder, and the encoder outputs a packet-level embedding and a packet-level gating. The packet-level embedding is used as the input of the classification module, and the classification module outputs a prediction result. The packet-level gating selects the prediction result and controls the output. The attention mechanism is used to help the model focus on and highlight the features that are particularly important for predicting EGFR gene mutations, improve the prediction accuracy and generalization ability, and thus effectively improve the accuracy of predicting EGFR gene mutations.

The invention discloses a 2-amino-4-anilino pyrimidine compound as well as a preparation method and application of the 2-amino-4-anilino pyrimidine compound. The compound has a strong inhibition effect on EGFR (epidermal growth factor receptor) gene mutation targets and c-MET and has a strong inhibition effect on osimertinib drug-resistant cells; and the compound can inhibit proliferation of various tumor cells, and provides excellent application prospects for treatment of EGFR gene mutation and MET amplified malignant tumors.

The present disclosure provides a primer-probe composition for detecting an epidermal growth factor receptor (EGFR) gene mutation, a kit, a system and a device including the primer-probe composition, and the use thereof.

The invention relates to a lung cancer EGFR (Epidermal Growth Factor Receptor) gene mutation prediction method based on multi-instance learning and Transform technology, which comprises the following steps of: segmenting a lung CT (Computed Tomography) image into image blocks for instance-level feature extraction, providing an extra supervision signal for instance-level features by utilizing a soft pseudo-marking technology in a self-generating manner, guiding a multi-instance learning model to more effectively distinguish instances, and predicting the mutation of the lung cancer EGFR gene mutation. The identification capability of instance-level features is enhanced; unique relative spatial position information is integrated into a self-attention mechanism, so that the dependency relationship between instances can be flexibly and clearly mined, and the expression capability of heterogeneity tumors can be greatly improved; the importance scores of different instance features are automatically learned through the self-adaptive gating instance aggregation module, dynamic weighting of feature aggregation instances is facilitated, and the generalization of the model on different data sets is improved through the method. According to the prediction method provided by the invention, heterogeneity characteristics in the tumor can be caught and analyzed finely, and it is ensured that prediction of the EGFR mutation state is more accurate and high in pertinence.

The utility model relates to the technical field of gene detection, in particular to an EGFR (epidermal growth factor receptor) gene mutation multiple detection kit which comprises a kit body and a kit cover connected to the kit body, a fixing plate is fixedly arranged in the kit body, a plurality of first placing holes and a second placing hole are formed in the fixing plate, sponge rings are fixedly arranged in the first placing holes, and the sponge rings are fixedly arranged in the second placing holes. A reagent tube filled with a fluorescence labeling probe is arranged in the sponge ring, a sample tube is arranged in the second placing hole, and a sample dripping mechanism for adding a sample into the reagent tube in a dripping manner is further arranged on the fixing plate in a sliding manner; the sample dripping mechanism comprises a sliding block arranged on the fixing plate in a sliding manner, a fixing frame is fixedly arranged on the side wall of the sliding block, and a sample dripping hopper is fixedly arranged at the top of the fixing frame; according to the EGFR gene mutation multiple detection kit, a sample can be controlled to be dripped into the reagent tube in a dripping manner, so that the pouring amount of the sample is accurately controlled, and false negative or false positive results caused by non-uniform pouring of the sample are avoided.

The application belongs to the field of molecular biology, and particularly relates to a primer combination for detecting lung cancer EGFR mutant genes based on multiplex PCR-time of flight mass spectrometry and an application and a detection method. The primer combination is at least one EGFR mutant gene site in G719X (2155G>T, 2156G>C, 2155G>A), S768I (2303G>T), 19del (2236_2250del15, 2240_2257del18, 2235_2249del15), L858R (2573T>G), L861Q (2582T>A), T790M (2369C>T), 20ins (2300_2308dup, 2319_2320insCAC, 2310_2311insGGT). The application detects EGFR gene mutations by combining multiplex PCR and time of flight mass spectrometry, and has the advantages of low cost and fast detection speed compared with sequencing, fluorescent PCR and other technical means. The application further relates to an EGFR gene mutation detection kit.

The present invention relates to a method for large-scale multiplex detection of lung cancer mutant genes using RNA and a kit for large-scale multiplex detection of lung cancer mutant genes using same and, more specifically, to a method for large-scale multiplex detection of lung cancer mutant genes using RNA, capable of simultaneously detecting 44 types of EGFR gene mutations, 1 type of BRAF gene mutation, 1 type of KRAS gene mutation, 10 types of EML4-ALK gene fusion mutations, and 12 types of ROS1 gene rearrangements, and a kit for detection of EGFR, BRAF, KRAS, EML4-ALK, and ROS1 gene mutations using a primer set and a composition.

The present invention discloses an electrochemical sensor for detecting EGFR gene mutation and a preparation method thereof, and belongs to the field of biosensor technology. The present invention solves the problems of complex data processing, high cost, long detection cycle and high invasiveness in the detection method of EGFR mutant genes in the prior art. The present invention designs a pair of stem-loop sequence primers to replace conventional LAMP primers, avoiding nonspecific amplification caused by cross-hybridization between multiple primers; GDY-Au TNPs are used as a sensing platform to improve detection sensitivity, and methylene blue-single-stranded DNA is modified as a reporter gene. When the target DNA is present in the LAMP product, a DNA / crRNA / Cas12a triplet complex is formed, the trans-cutting ability of Cas12a is activated, the reporter gene is cut, the redox mediator on the electrode is changed, and the entire signal change is detected by an electrochemical method. The present invention achieves the purpose of detecting EGFR gene mutations instantly, quickly and at low cost, and provides strong technical support for clinicians to diagnose diseases and evaluate treatment effects.

Provided is a method for acquiring data on efficacy of a CDK4 / 6 inhibitor in a lung cancer cell, the method including detecting EGFR gene mutation, and CDKN2A / B gene deletion or loss-of-function mutation in a lung cancer cell derived from a lung cancer patient. Presence of EGFR gene mutation, and CDKN2A / B gene deletion or loss-of-function mutation indicates that the CDK4 / 6 inhibitor has efficacy.

An EGFR inhibitor is used for the treatment of EGFR gene mutation-positive lung cancer, but resistance is acquired over time, and the effect of the EGFR inhibitor disappears. There has been no effective measure against this.SOLUTION: A pharmaceutical composition for EGFR gene mutation-positive lung cancer, which comprises a first pharmaceutical composition for inhibiting EGFR and a second pharmaceutical composition for inhibiting at least one member selected from cGAS, STING and TBK1, and which can overcome resistance to EGFR inhibition and can be administered continuously while maintaining the effect of suppressing cell proliferation.SELECTED DRAWING: Figure 4

The invention provides a method for acquiring potency data of a CDK4 / 6 inhibitor in lung cancer cells. The method comprises the step of detecting EGFR gene mutation and CDKN2A / B gene deletion or function loss mutation in lung cancer cells from a lung cancer patient. The presence of EGFR gene mutation and CDKN2A / B gene deletion or loss of function indicates that the CDK4 / 6 inhibitor has efficacy.

The invention discloses a lung adenocarcinoma postoperative detection gene combination for recurrence risk assessment and application of the lung adenocarcinoma postoperative detection gene combination. The lung adenocarcinoma postoperative detection gene combination is composed of LOC283692, LOC644172, NAT8B, HIST1H1A, APEX2, CMSS1 and DYM. The lung adenocarcinoma is I-II stage lung adenocarcinoma with EGFR (epidermal growth factor receptor) gene mutation; the gene combination is used for constructing an LASSO scoring model for evaluating the postoperative recurrence risk of I-II stage lung adenocarcinoma patients with EGFR gene mutation. According to the method, accurate and quantitative risk division evaluation can be realized for I-II stage lung adenocarcinoma patients with EGFR gene mutation, and the method has the advantages of being simple, reliable and easy to popularize.

The application discloses a 2-amino-4-anilino pyrimidine compound and a preparation method and application thereof. The compound has a strong inhibiting effect on EGFR gene mutation targets and c-MET and has a strong inhibiting effect on osimertinib drug-resistant cells. Moreover, the compound can inhibit the proliferation of various tumor cells, and provides an excellent application prospect for the treatment of EGFR gene mutation and MET amplification malignant tumors.

The invention discloses a lung cancer CT (Computed Tomography) thin and thick layer image EGFR (Epidermal Growth Factor Receptor) gene mutation prediction device and method, and the device comprises a first processing module which is used for obtaining a lung cancer CT thin and thick layer image of a patient; the second processing module is used for performing data enhancement processing on the lung cancer CT thin and thick layer image; the third processing module is used for performing feature extraction on the lung cancer CT thin and thick layer image after data enhancement processing; the fourth processing module is used for carrying out orthogonal decomposition feature refinement and double loss optimization on the extracted features to obtain an EGFR gene mutation prediction model; and the fifth processing module is used for inputting the tested lung cancer CT thin and thick layer image into the EGFR gene mutation prediction model to carry out EGFR gene mutation detection. By adopting the technical scheme provided by the invention, the EGFR gene mutation state is accurately predicted, and an important decision basis is provided for targeted therapy and personalized diagnosis and treatment of lung cancer.

This invention discloses a reagent, kit, method, and application for detecting EGFR gene mutations. The reagent includes a primer set comprising a first primer pair for detecting the EGFR gene mutation site 19del, a second primer pair for detecting the EGFR gene mutation site T790M, and / or a third primer pair for detecting the EGFR gene mutation site L858R. The primer set and probes in this invention for detecting EGFR gene mutations exhibit high sensitivity and specificity, and show no cross-reactivity with wild-type samples, demonstrating promising application prospects.

To provide a method for predicting therapeutic effect or prognosis when an EGFR tyrosine kinase inhibitor is administered to a patient with EGFR gene mutation-positive non-small cell lung cancer.SOLUTION: The method includes the steps of: measuring or visualizing expression level of ACTN4 in lung cancer tissue or lung cancer cells of a patient; determining, based on the expression level, whether ACTN4 expression is positive; and, if determined positive, predicting that the EGFR tyrosine kinase inhibitor will have insufficient therapeutic effect on the patient or that prognosis of the patient administered with the EGFR tyrosine kinase inhibitor will be poor.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of biology, and particularly relates to a group of markers for predicting the immunotherapy effect of EGFR gene mutation NSCLC patients and application of the markers. The biomarker disclosed by the invention is simple and convenient to sample and quick in result reporting. The biomarker disclosed by the invention is high in accuracy: the AUC of CCL4 is equal to 0.771, the sensitivity is 0.64, the specificity is 0.67 ([95% CI: 0.62-0.93]); plt; 0.05) of the substrate (1); the AUC of the PD-L1 is equal to 0.720, the sensitivity is 0.60, the specificity is 0.82 ([95% CI: 0.55-0.89]); plt; 0.05) of the method. In a screening queue, a combined diagnosis ROC curve of CCL4 and PD-L1 is as follows: AUC is equal to 0.907, the sensitivity is 0.667, and the specificity is 1.000 ([95% CI: 0.696-1.000]); plt; 0.05) of the substrate (1); in the verification queue, the AUC of the combined diagnosis of CCL4 and PD-L1 is equal to 0.833, the sensitivity is 0.69, the specificity is 0.91, and the AUC is less than [95% CI: 0.70-0.96]; plt; 0.05) of the substrate (1); therefore, the efficiency of combined diagnosis of the CCL4 and the PD-L1 is higher than that of diagnosis by independently using the CCL4 or the PD-L1; the marker is high in diagnosis efficiency, the immunotherapy curative effect of the NSCLC patient with EGFR gene mutation is predicted, and clinical guidance is provided.