18 results about "Locally advanced" patented technology

The invention discloses an application of a reagent for detecting AP3S2 in preparation of a diagnostic reagent for neoadjuvant immunochemotherapy resistance of gastric cancer in a local progression stage, which comprises the following steps: screening differential expression proteins in neoadjuvant immunochemotherapy resistance tissues of gastric cancer in the local progression stage through proteomics; a new marker is provided for diagnosis of the local progression stage gastric cancer immunochemotherapy drug resistance, and a basis is also provided for development and future development of a local progression stage gastric cancer immunochemotherapy drug resistance diagnosis method.

To provide a method for treating patients having HER2-positive metastatic or locally advanced breast cancer in first-line therapy.SOLUTION: A method comprising administering a therapeutically effective amount of an anti-HER2 maytansinoid conjugate to a patient having breast cancer who has received prior treatment with a taxane.SELECTED DRAWING: None

The present disclosure relates to novel radiation-triggered controlled release drug compositions, and methods to make and use the radiation-triggered controlled release drug compositions. The radiation-triggered controlled drug release nanoparticle formulations may be used to achieve maximum bioavailability and minimum adverse effects of the chemo drugs in chemo radio combination therapy treatment of locally advanced solid tumors.

The application discloses application of a CDK4 / 6 inhibitor combined with oxaliplatin in preparation of a treatment drug for chemotherapy-resistant colorectal cancer. The combined use of the CDK4 / 6 inhibitor combined with oxaliplatin has excellent therapeutic effect on locally advanced rectal cancer which is resistant to a first-line chemotherapy scheme, can overcome the drug resistance of the rectal cancer patient to the chemotherapy drug, so that the tumor proliferation is inhibited, and the apoptosis of the cancer cell is promoted. The application provides a combined drug treatment scheme for neoadjuvant therapy of locally advanced rectal cancer chemotherapy resistance, can achieve the purpose of effectively treating or assisting in treating the rectal cancer, and provides a new way for treating, diagnosing or predicting the rectal cancer patient.

The present invention relates generally to methods of treating HER2-positive locally advanced or previously untreated metastatic breast cancer, and particularly provides methods of treating HER2-positive, locally advanced or previously untreated metastatic breast cancer with an anti-HER2-maytansine conjugate (e.g., trastuzumab-eimetanin) that has received prior treatment with a taxane, a method of treating a patient with locally advanced or previously untreated metastatic breast cancer.

The present invention provides methods for treating and / or preventing breast cancer, including locally advanced or metastatic ER+ and HER2- breast cancers in patients requiring treatment, compounds for use in treatment, and combinations thereof. [Solution] Administer a compound of formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotope derivative thereof, or a prodrug thereof. JPEG2026136114000154.jpg65134

The present disclosure relates to using ivonescimab, an anti-VEGF x anti-PD-1 bispecific antibody, optionally in combination with other therapies, to treat cancers. Disclosed embodiments include: ivonescimab or ivonescimab in combination with ligufalimab to treat head and neck squamous cell carcinoma (e.g., PD-L1 positive recurrent or metastatic head and neck squamous cell carcinoma); perioperative ivonescimab or ivonescimab in combination with chemotherapy to treat resectable non-small cell lung cancer; ivonescimab in combination with chemotherapy or in combination with ligufalimab and chemotherapy to treat colorectal cancer (e.g., recurrent or metastatic colorectal cancer); ivonescimab to treat advanced non-small cell lung cancer; and ivonescimab in combination with chemotherapy to treat locally advanced unresectable or metastatic triple-negative breast cancer.

The invention discloses application of a reagent for detecting DHCR24 in preparation of a reagent for diagnosing neoadjuvant immunochemotherapy resistance of gastric cancer in a local progression stage, differentially expressed proteins in neoadjuvant immunochemotherapy resistance tissues of the gastric cancer in the local progression stage are screened out through proteomics, and a new marker is provided for diagnosis of the neoadjuvant immunochemotherapy resistance of the gastric cancer in the local progression stage. And a foundation is provided for the development and future development of a diagnosis method for the immunochemotherapy drug resistance of the gastric cancer in the local development stage.

The invention discloses application of a reagent for detecting PLS1 in preparation of a reagent for diagnosing neoadjuvant immunochemotherapy resistance of gastric cancer in a local progression stage, differentially expressed proteins in neoadjuvant immunochemotherapy resistance tissues of gastric cancer in the local progression stage are screened out through proteomics, and a new marker is provided for diagnosis of neoadjuvant immunochemotherapy resistance of gastric cancer in the local progression stage. And a foundation is provided for the development and future development of a diagnosis method for the immunochemotherapy drug resistance of the gastric cancer in the local development stage.

The invention discloses application of a biomarker in diagnosis / prediction of peritoneal relapse after a local progression stage gastric cancer operation, and particularly relates to a biomarker which is BUB1, CKS2, PCNA, CHEK1, NEK2, NCAPG2 or a combination of the BUB1, the CKS2, the PCNA, the CHEK1, the NEK2 and the NCAPG2. Through the systematic and comprehensive biomarker discovery and multi-sample verification method, a six-genome and risk stratification model is determined to detect the risk of peritoneal relapse after a high-risk gastric cancer operation, and if the risk is discovered as early as possible, information decision can be provided for clinic, and the treatment result of a patient can be improved.

Provided are combination therapies comprising inavolisib and a fixed-dose combination of pertuzumab and trastuzumab for subcutaneous injection (PH FDC SC) for the treatment of HER2-positive cancers; and methods of treating a PIK3CA mutated, HER2 positive (HER2+) locally advanced or metastatic breast cancer comprising administering a therapeutically effective amount of inavolisib and PH FDC SC.

This invention discloses a method and system for constructing an intelligent quality control platform for radiotherapy based on multimodal data, belonging to the field of intelligent quality control technology for radiotherapy. The method includes: collaborating with at least two cross-regional medical centers to collect multimodal data from patients with locally advanced rectal cancer; performing multi-expert annotation on the target area and organs at risk on the CT images according to unified annotation standards; generating consensus annotations using a multi-annotation fusion algorithm; and forming a multi-center standardized dataset after standardization processing. It also involves the parallel construction of an automatic segmentation model, an automatic quality control module for radiotherapy planning, and a multimodal risk stratification model; integrating the automatic segmentation model, automatic quality control module, and risk stratification model into a Web-based platform; and interacting with the radiotherapy information system and radiotherapy planning system through an interface adaptation layer. This provides precise support for promoting the homogenization of radiotherapy quality and the implementation of precision radiotherapy.

The descriptive memorandum refers to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) for use in the treatment of previously EGFR TKI-naïve patients with metastatic or locally advanced EGFR mutation-positive non-small cell lung cancer (NSCLC), wherein the EGFR TKI is administered in combination with platinum-based chemotherapy and pemetrexed.

A combination therapy comprising enoxacin, palbociclib, and fulvestrant is provided, along with a method for treating locally advanced or metastatic breast cancer with PIC3CA mutations, hormone receptor-positive (HR+), and HER2-negative (HER2-), the method comprising administering therapeutically effective amounts of enoxacin, palbociclib, and fulvestrant. The combination therapy produced statistically significant and clinically meaningful improvements in comparable patients compared to administration of palbociclib and fulvestrant alone.

The present invention provides methods and compositions for treating cancer (e.g., locally advanced, recurrent or metastatic solid tumors) in a subject, for example by administering to the subject an anti-cancer therapy comprising an anti-latent TGF-beta1 antibody. Also provided are compositions (e.g., anti-latent TGF-beta 1 antibodies, pharmaceutical compositions thereof, kits thereof, and articles of manufacture thereof) for use in the treatment of cancer in a subject.

A method and a system for predicting the efficacy of neoadjuvant chemotherapy for locally advanced gastric cancer are provided. The method includes the following steps: the historical image data acquired through multi-b-values non-Gaussian diffusion MRI and corresponding prognostic image data are acquired, so that to obtain the signal intensity data corresponding to different b values, and influencing factors are acquired by combining diffusion models; a tumor tissue image is selected the region of interest which is further performed data labeling and enhancement to obtain a label set; the deep perception network is established to divide efficacy levels; A data set is established according to the influencing factors and the efficacy levels, a CNN-LSTM prediction model is constructed, the CNN-LSTM prediction model is optimized by using the data set to obtain an optimal model, and the chemotherapy efficacy level is evaluated by the optimal model.