1615 results about "Tumor Microenvironments" patented technology

The invention discloses an intestinal cancer immune response graph neural network prediction method, a medium and equipment, and the method comprises the steps: collecting pathological image information, immunodetection information and basic clinical information, extracting a tissue space distribution characteristic spectrum through a deep convolutional network, and constructing a graph neural network model in combination with an immunomarker expression characteristic matrix; spatial interaction characteristics of a tumor microenvironment are modeled by adopting a graph attention mechanism, finally a treatment response probability, an optimal treatment opportunity and an adverse reaction risk are predicted through a multi-task learning framework, and a clinical decision report containing a prediction response curve, a risk early warning threshold and a treatment time window suggestion is output. According to the method, through multi-modal data fusion and spatial interaction modeling, accurate prediction of intestinal cancer immunotherapy response is realized, and a more comprehensive reference basis is provided for clinical decision making.

The invention provides a method for drug screening and disease model construction of liver organoid, relates to the technical field of medical research, and adopts multi-modal data acquisition, fusion and intelligent analysis and quantum computing processing to optimize comprehensive application of data, so that the richness, accuracy and analysis efficiency of the data are remarkably improved, and the risk of drug screening and disease model construction of liver organoid is reduced. Multi-source data of genomics, transcriptomics and the like are collected comprehensively, an accurate research system of immune-hepatic disease interaction based on organoid is constructed, an in-vivo complex immune-hepatic disease microenvironment can be highly simulated, the proportion and activation state of immune cells are accurately regulated and controlled in an in-vitro model, functional and phenotypic changes of the immune cells are monitored in real time, and the immune-hepatic disease interaction accuracy is improved. According to the present invention, the interaction mechanism between the immune cells and the liver organ cells is deeply revealed, such that the accurate information basis is provided for the accurate determination of the drug action target, the development of the innovative drug for the immune check point or tumor microenvironment regulation is easily achieved, and the pertinence and the success rate of the drug research and development are substantially improved.

The invention discloses a method for analyzing the tumor microenvironment of esophageal squamous cell carcinoma. The method comprises the following steps: selecting a basic tissue structure protein to be analyzed in a tumor microenvironment, carrying out cell segmentation and protein expression level extraction, carrying out clustering identification on cell types, identifying a three-level lymph structure and a neighborhood thereof, and determining an immune cell proportion and an expression level of a key functional protein. Identifying tissue regions and neighborhoods thereof and determining different cell proportions and expression levels of key functional proteins, as well as determining cell-cell spatial interactions in the tumor microenvironment. The method provided by the invention can greatly improve the efficiency and accuracy of predicting the intervention effect.

The invention discloses a colorectal cancer drug relocation method based on multi-omics integration. The system comprises a multi-omics data acquisition and preprocessing module, a tumor microenvironment analysis module, a specific disease network construction module, a multi-dimensional drug relocation module and a result evaluation module. And the tumor microenvironment analysis module comprises cell heterogeneity identification, cell map construction, cell annotation and tumor cell subset annotation. The specific disease network construction module comprises tumor feature expression program extraction, expression program screening, meta-program construction, clinical related meta-program recognition and specific disease protein interaction network construction. And the multi-dimensional drug relocation module comprises a module for identifying diseases by using a random walk algorithm, carrying out drug screening based on disturbance data, carrying out drug screening based on network proximity and carrying out comprehensive drug relocation. From the perspective of single cell data, element programs related to colorectal cancer survival are excavated, corresponding modules are designed, and the efficiency and precision of colorectal cancer targeted drug screening are improved.

The invention discloses a tumor disease assessment method based on big data, and particularly relates to the technical field of tumor disease assessment. Medical data and living habit data of a patient are collected through multiple data interfaces, integration is carried out through preprocessing and a multi-modal data fusion technology, tumor microenvironment features and drug metabolism features are extracted, a comprehensive feature vector is generated, the effectiveness of a chemotherapy regimen is predicted by using a machine learning model, and when the effectiveness of the chemotherapy regimen is low, the chemotherapy regimen is identified. Newest clinical tests and drug data are introduced regularly, model parameters are dynamically optimized in combination with the chemotherapy regimen improvement effect, it is ensured that the model reflects the newest clinical progress in real time, the problems of model updating lag and drug innovation mismatching are effectively solved, the accuracy and effectiveness of a treatment regimen are improved, and the treatment cost is reduced. And meanwhile, side effects caused by blind attempts are reduced, and powerful support is provided for personalized precise medical treatment.

The present teachings relate generally to conjugates and methods for imaging a tumor microenvironment in a patient, and to conjugates and methods for imaging cancer-associated fibroblasts (CAFs) in the tumor microenvironment of a patient. The present teachings relate generally to method of making conjugates comprising a fibroblast activation protein (FAP) inhibitor.

The invention belongs to the technical field of genetic engineering and biological medicine, and particularly discloses a cascade response type nano-particle with a microenvironment remodeling function and a preparation method and application of the cascade response type nano-particle. The nanoparticle provided by the invention adopts a bionic hybrid membrane engineering strategy: an inner core is formed by loading an exosome inhibitor on a nano material, and the surface is covalently coupled with M2 type macrophage specific targeting peptide; the outer layer coats a macrophage membrane and active oxygen response type liposome composite membrane layer through a co-extrusion technology, and is loaded with a TLR agonist. Animal experiments show that after being injected through caudal vein, the nano-particles are enriched at a tumor site in a targeted manner through homing receptors such as membrane surface integrin alpha4beta1 and the like, and outer membrane cracking is triggered in a high-ROS tumor microenvironment, so that space-time controlled release of a TLR agonist and targeted phagocytosis of an exosome inhibitor by macrophages guided by a targeted peptide are realized. The anti-tumor synergistic effect is achieved through multiple regulation and control mechanisms, and an effective treatment strategy is provided for tumor immunotherapy.

The invention discloses a cationic polymer-based proteolysis targeting chimera as well as preparation and application thereof, and belongs to the fields of targeting protein degradation and nanotechnology. According to the chimera, a cationic polymer is used as a connecting arm to connect a target protein ligand and an E3 ubiquitin ligase ligand to form a ternary complex, so that efficient degradation of target protein is realized. By adjusting the ligand proportion, chimeras with different degradation efficiencies can be synthesized, and accurate regulation and control are realized. The pH-responsive nano-drug obtained by hydrolyzing the targeting chimera by using the targeting protein can respond to an acidic tumor microenvironment, specifically release the chimera, and improve the targeting property and the treatment effect of the drug. Compared with the traditional PROTACs, the compound has higher bioavailability and tumor permeation effect; the preparation method of the nano-drug is simple and easy to implement, provides possibility for preparation of high-performance nano-drugs, shows potential in preparation of anti-tumor cell drugs, provides new thoughts and methods for tumor treatment, and has important clinical application value.

The preparation method comprises the following steps: synthesizing gold nanostars (GNS) by using a seed growth method, coating mesoporous cerium dioxide (mCeO2) by using a template method, and loading a photosensitizer indocyanine green (ICG), so as to form a nano enzyme diagnosis and treatment system with chemical activity, photoactivity and photothermal effects. In the system, the gold nanostars have a good photo-thermal effect due to the multi-branched structure of the gold nanostars; on one hand, the mesoporous cerium dioxide coated on the outer layer has a chemical effect due to the nano-enzyme effect, and on the other hand, the mesoporous structure of the mesoporous cerium dioxide can better load the photosensitizer indocyanine green. All the components have good stability and biological safety, also have peroxidase simulation activity and a drug loading function, can improve the level of reactive oxygen species (ROS) in a tumor microenvironment and load photosensitizer drugs, and have an excellent anti-tumor effect and small side effects.

The invention belongs to the technical field of tumor micro-immune environments, and particularly relates to a kit for detecting a tumor micro-environment, a detection method and application, the kit comprises rare metal element labeled monoclonal antibodies, the rare metal element labeled monoclonal antibodies comprise 115In-CD20, 139La-Histone H3, 142Nd-CD56, 144Nd-CD14, 146Nd-Vimentin, 148Nd-Pan-CK, 151Eu-CD31, 156Gd-CD4, 158Gd-E-Cadrin, 159Tb-CD68, 162Dy-CD8a, 166Er-CD45, 167Er-CD15, 170Er-CD3, 171Yb-CD11c and 209Bi-alpha-SMA, and the rare metal element labeled monoclonal antibodies comprise The invention can be used for simultaneously detecting and researching the quantity, positioning and spatial topological relation of each cell component in a tumor microenvironment, and provides a multi-immunofluorescence detection kit and method for ubiquitous epithelial differentiation-derived tumors based on an imaging mass spectrum flow technique. A plurality of biomarkers can be analyzed at the same time by using multiple immunohistochemical staining and rare earth metal tag signal detection technologies, so that the aim of performing high-dimensional analysis on a tumor microenvironment is fulfilled according to cell composition, functional state and cell-cell space interaction relationship.

The invention discloses an intelligent tumor microenvironment analysis and drug screening method based on multi-modal data, and relates to the field of tumor research. The method comprises the following steps: obtaining a plurality of prognosis image features according to preoperative magnetic resonance images of the brain of a plurality of glioblastoma patients; identifying a key image genomics gene set for each prognostic image feature; analyzing biological reasons of prognosis differences of high-risk patients and low-risk patients by using a transcriptome method; analyzing biological functions of prognosis image features; utilizing Fisher to accurately test and determine a cell population associated with the prognostic image features; determining a functional state of the cell population based on the scRNA-seq data of the cell population; constructing an image-gene-cell population-functional state association; potential therapeutic drugs for cell populations associated with prognostic image features are parsed using chi-square test. According to the invention, the tumor heterogeneity of glioblastoma can be depicted from the perspective of images, and potential therapeutic drugs can be identified.

The invention discloses an OTX-015 (Ox-015) loaded cascaded responsive nano particle and a preparation method thereof. The nanoparticle has a three-layer core-shell structure, wherein the innermost layer is a cross-linked nanoparticle of chitosan and paclitaxel; the middle layer is a polydopamine layer loaded with a bromodomain inhibitor OTX-015; the outermost layer is a gelatin layer grafted with babali; wherein the cross-linked substance of the chitosan and the paclitaxel is a cross-linked substance containing a disulfide bond. The invention also provides a preparation method of the cascade responsive nano-particle and application of the cascade responsive nano-particle in preparation of an antitumor drug targeted delivery system. The nanoparticle provided by the invention improves the tumor microenvironment while activating in-vivo autoimmunity, and kills tumor cells by using photothermal therapy assisted chemotherapy drugs, so that the synergistic effect of chemotherapy / photothermal therapy / immunotherapy is realized, and a new idea is provided for clinical tumor treatment.

The invention provides a coordination nano assembly of chiral cyclopeptide and manganese ions as well as a preparation method and application of the coordination nano assembly. According to the method, a manganese superoxide dismutase protein structural domain and a unique tumor microenvironment of melanoma high tyrosinase are combined, and polypeptide sequences L-YD-hL-DD-h, L-YL-HL-DL-H and D-yD-hD-dD-h with different chirality are designed for the first time; the chirality of the polypeptide is regulated and controlled, the in-vivo circulation stability and the cell entry efficiency of the nano assembly are improved, the coordination self-assembly of manganese and different chiral cyclopeptides is realized, and the in-situ oxidation of an in-vivo tumor microenvironment is simulated for photo-thermal therapy and cell membrane coating. The method disclosed by the invention is simple, mild in experimental condition and easy to operate, the prepared cell membrane coated nano assembly not only has long circulation stability and high cell entry efficiency, but also can realize mild photo-thermal therapy through in-situ oxidation, releases manganese ions to activate a CGAS-STING pathway for immunotherapy of tumors, and has a wide application prospect. The potential application value is realized in the field of combined treatment of tumors.

The invention belongs to the technical field of engineered probiotics, and particularly relates to engineered probiotics for radiosensitization and tumor metabolism regulation as well as a preparation method and application of the engineered probiotics. The engineering probiotics comprise probiotics and core-shell type metal nanoparticles which are loaded on the probiotics and are synthesized through a biological directional mineralization effect; the core of the core-shell type metal nanoparticle is a palladium element, and the outer layer of the core-shell type metal nanoparticle is a palladium element and a gold element. The engineering probiotics provided by the invention have excellent enzyme catalysis performance and can target and retain in tumor sites, and through the synergistic effect of all components in the engineering probiotics, adenosine metabolism is effectively inhibited, secretion of pro-inflammatory cytokines is enhanced, tumor microenvironment is promoted to be converted into an inflammatory state, up-regulation of immune checkpoints is inhibited, and the immune checkpoints are inhibited. And T cells are inhibited from being transformed into depletion phenotype and transformed into effect type from depletion type. After the SBRT and the immune checkpoint inhibitor are combined for use, the growth of tumors can be effectively inhibited, and the effect of enhancing immune radiotherapy is achieved.

The invention relates to a strontium peroxide nano-material, which is characterized in that a strontium source, alkali and hydrogen peroxide are used as raw materials, a mixed solution of an organic solvent and water is used as a reaction solvent, the strontium peroxide nano-material is prepared under a template or template-free condition, and the strontium peroxide nano-material can quickly react with water to generate hydroxyl, hydrogen peroxide and oxygen, hydrogen peroxide can achieve a tumor cell killing effect, hydroxyl can neutralize an acidic tumor microenvironment and alkalify tumor cells, and oxygen can relieve a hypoxic tumor microenvironment. In addition, the strontium peroxide nano material can induce macrophages to be polarized to an anti-tumor M1 type by regulating and controlling glycometabolism of the macrophages, and remodeling an intra-tumor lactic acid metabolism crosstalk mode. The strontium peroxide nano-material or the modified material and the preparation thereof can be directly injected into a tumor or near the tumor under ultrasonic guidance to realize in-situ treatment, or can be delivered to a tumor supply blood vessel through a catheter to realize embolism treatment, so that the strontium peroxide nano-material or the modified material and the preparation thereof have a certain application prospect in the field of tumor treatment.

The invention discloses a hepatocellular carcinoma postoperative early recurrence prediction method based on multi-modal fusion. The method comprises the following steps: firstly, integrating clinical data of a training set, a preoperative enhanced CT image and a postoperative full-view digital pathological image, and carrying out standardized correction; then, traditional image omics features and deep learning features are extracted from the CT image, cell nucleus morphological features and tumor microenvironment spatial configuration features are extracted from the pathological image, and key feature signatures are screened out through a maximum correlation minimum redundancy algorithm (mRMR) and LASSO regression in combination with clinical features. And then carrying out progressive model construction by adopting an XGBoost algorithm, sequentially establishing a clinical single-mode model, an image single-mode model, a pathological single-mode model and a multi-mode fusion model, and explaining and visualizing the models by utilizing an SHAP value and a Grad-CAM technology. Finally, the performance of the model is evaluated in a multi-dimensional mode through internal cross validation, foresight and external independent validation, risk layering is carried out based on the prediction probability, and individualized postoperative management is guided.

The invention provides a microneedle preparation for co-delivering photo-thermal nano-enzyme and elemene as well as a preparation method and application of the microneedle preparation. The preparation method comprises the following steps: firstly, preparing a novel photo-thermal nano enzyme Au (at) MoS2 through a two-step water phase synthesis strategy; benefited from the synergistic effect of the hybrid material, the nano-enzyme shows significantly enhanced near-infrared (NIR) photothermal effect, peroxidase-like (POD) activity and glutathione-like peroxidase (GSHOx) activity, and can effectively remodel the tumor microenvironment and destroy the redox steady state. Furthermore, photo-thermal nano enzyme, beta-ELE and hyaluronic acid are used as raw materials, and a novel soluble microneedle preparation is successfully prepared through a template method. The novel composite microneedle is in a sharp rectangular pyramid shape, growth of melanoma can be effectively inhibited through percutaneous delivery of photo-thermal nano-enzyme and beta-ELE, remarkable systemic toxicity is avoided, and an innovative strategy is provided for non-invasive, efficient and safe melanoma combined treatment.

The invention belongs to the technical field of functional nanoprobes and biological detection, and particularly relates to a kit for simultaneously detecting a specific membrane protein marker and a membrane protein dimer and application of the kit. The detection kit comprises a membrane proteome anchoring chain, a recognition probe, an SERS probe and an auxiliary signal amplification reagent, by combining DNA logic sensing based on aptamer recognition and logic response type assembly based on EpCAM protein expression and DNA signal amplification of Met protein dimerization, networked assembly of a recognition probe and an SERS probe is realized, so that specific accurate recognition of tumor cells and high-sensitivity SERS detection and imaging of membrane protein dimers are realized; the method is suitable for monitoring an HGF / Met signal channel based on Met protein dimerization mediation between stromal cells and cancer cells in a complex tumor microenvironment, and can evaluate the inhibition effect of a targeted drug on receptor dimerization in real time.

The invention provides a screening platform for chemotherapy combined anti-tumor natural products and application of the screening platform. PTC has tumor cells, interstitial cells, fibroblasts and immune cells from primary epithelium, is rich in cell components, and has advantages in the aspect of tumor microenvironment simulation. Meanwhile, PTC can reproduce tumor heterogeneity, the culture success rate and clinical consistency can reach 90% or above, and the detection period is within two weeks. And the detection result can be read through AI intelligent software, so that the accuracy can be further improved. The screening period can be shortened, the cost is reduced, and the accuracy is improved; according to the platform, high-throughput screening can be carried out in a short time, and the treatment effect of a chemotherapy drug combined anti-tumor natural product drug scheme can be predicted.

The invention provides a nano-drug based on atomic layer deposition and a preparation method of the nano-drug, mesoporous silica is taken as a carrier, bimetallic nanoparticles are precisely deposited through ALD, and chemotherapeutic drugs and antibacterial components are loaded by combining amination and targeted PEG modification, so that the following functions are realized: (1) H2O2 in a tumor microenvironment is catalyzed to generate reactive oxygen species (ROS); removing fusobacterium nucleatum and damaging a biological membrane of the fusobacterium nucleatum; (2) GSH is consumed through Fenton reaction, and tumor drug resistance is reversed; and (3) the drug is released in pH response, and tumor cells are accurately killed. The invention further provides application of the nano-drug based on atomic layer deposition in treatment of related drug-resistant colorectal cancer induced by fusobacterium nucleatum, the process is controllable, the biocompatibility is excellent, the treatment effect on the drug-resistant colorectal cancer is remarkably improved, and the nano-drug has wide clinical application prospects.

The embodiment of the invention provides breast cancer targeting nanoparticles as well as a preparation method and application thereof. According to the embodiment of the invention, the breast cancer targeting nanoparticles are synthesized by preparing the pH sensitive polymer, carrying out co-coupling modification on the pH response polymer and the folic acid albumin nano-carrier and utilizing a controlled desolvation method; the breast cancer targeting nanoparticle is combined with a nano preparation passive targeting strategy, a tumor microenvironment stimulation response strategy and a folic acid active targeting strategy, the effects of an EPR effect, PEG shedding, charge overturning, folic acid ligand-receptor combination and the like are utilized, precise targeting and specific response of tumors are achieved, and targeted accumulation of drugs in a tumor microenvironment is comprehensively improved. Therefore, the breast cancer targeting nanoparticles prepared by the embodiment have the advantages of high targeting property, drug controlled release, improvement of solubility and absorptivity of indissolvable drugs and the like, so that the curative effect of the drugs can be enhanced, the toxic and side effects can be reduced, and the breast cancer targeting nanoparticles have wide application prospects in the field of anti-tumor treatment.

Disclosed are methods of augmenting efficacy of oncology therapies by providing reprogrammed cells such as personalized regenerative cells that modulate the tumor microenvironment. In one embodiment, somatic cells are dedifferentiated into OCT-4 expressing cells and endowed with tumor homing properties through culture or gene engineering. Once a stable population of tumor homing cells is established, such cells are made to express immune stimulating agents constitutively, or selectively upon entering the cancer microenvironment. Selective expression of immune stimulatory agents can be induced by exposure to hypoxia, acidosis, immune suppressive signaling or inflammatory signaling.

The invention relates to the field of medical detection, and particularly provides a diagnostic model for predicting prognosis of gastric cancer CAR-T cellular immunotherapy and application of the diagnostic model. According to the present invention, the content and the spatial distribution map of the CLDN18.2 positive gastric cancer tissue sample microenvironment component are systematically analyzed by integrating the multiple fluorescence immunohistochemical detection and the full-slice digital imaging quantitative analysis method for the first time; through multi-dimensional evaluation of a tumor microenvironment under the treatment background of a targeted CLDN18.2 chimeric antigen receptor T cell immunotherapy CT041, a diagnosis model for predicting the prognosis of the gastric cancer CAR-T cell immunotherapy is established for the first time, accurate screening of benefited people and risk stratification before treatment are realized, treatment selection is guided, and the treatment effect is improved.

The invention relates to the field of biological functional materials, and discloses a preparation method and application of a Cu-doped W18O49 nano-enzyme with near-infrared two-region photoresponse. The specific method is as follows: a solvothermal method is adopted, the Cu-doped W18O49 (xCu-W18O49) nano-enzyme is prepared by regulating and controlling the molar doping amount of a Cu element, taking tungsten chloride as a tungsten source, taking copper chloride dihydrate as a copper source and taking n-propyl alcohol as a reaction solvent. The crystallinity of the nano enzyme is good, and the nano enzyme shows remarkable glutathione oxidase (GSHOx) activity in a tumor microenvironment. Compared with W18O49, Cu doping enables enzyme activity to be remarkably improved, the problem of low activity generally existing in current cancer treatment nano-enzymes is effectively solved, and meanwhile the nano-enzyme has application potential in the aspect of CT imaging.

The invention provides a micro-fluidic chip, a model for realizing accurate positioning of an organoid and sequential interaction of a tumor microenvironment, and a construction method of the model. The micro-fluidic chip comprises a chip main body and a chip bottom plate, a blood vessel channel, a central channel, a neural immune cell channel and a culture medium channel are sequentially arranged on the lower surface of the chip main body; the chip bottom plate is arranged on the lower surface of the chip main body and seals each channel; one side of the blood vessel channel is communicated with one side of the central channel, the other side of the central channel is communicated with one side of the neural immune cell channel, and the other side of the neural immune cell channel is communicated with one side of the culture medium channel; the upper surface of the chip main body is provided with an open hole, and the open hole penetrates through the chip main body and is communicated with the middle position of the central channel. According to the model manufactured by the micro-fluidic chip, accurate positioning of tumor organs can be realized through combination of an automatic positioning device and physical constraint, and multi-dimensional cell interaction is supported by dynamic environment regulation and control.

Disclosed herein are methods and compositions for quantifying distinct prognostic and predictive contributions of tumor epithelium vs. tumor microenvironment in colorectal cancer to optimize therapy.

The invention relates to the field of biological medicines, in particular to a chimeric cytokine activated receptor for activating lymphocytes by using soluble immunosuppressive molecules and application of the chimeric cytokine activated receptor in tumor treatment. The chimeric cytokine activation receptor and a chimeric antigen receptor for recognizing tumor antigens are connected in parallel to form a co-expressed polycistron structure. Wherein the chimeric cytokine activation receptor comprises an scFv structural domain, a transmembrane structural domain and a cytokine chimeric activation structural domain which specifically recognize and bind soluble immunosuppressive molecules. The CAR-NK cell can specifically recognize soluble inhibitory factors in the tumor microenvironment and improve the in-vivo and in-vitro anti-tumor efficacy of the CAR-NK cell, and can be used for treating solid malignant tumors.

Provided are delivery immunostimulatory bacteria that have enhanced colonization of tumors, the tumor microenvironment and / or tumor-resident immune cells, and enhanced anti-tumor activity. The immunostimulatory bacteria are modified by deletion of genes encoding the flagella, or by modification of the genes so that functional flagella are not produced, and / or are modified by deletion of pagP or modification of pagP to produce inactive PagP product. As a result, the immunostimulatory bacteria are flagellin− and / or pagP−. The immunostimulatory bacteria optionally have additional genomic modifications so that the bacteria are adenosine or purine auxotrophs. The bacteria optionally are one or more of asd−, purI−, and msbB−. The immunostimulatory bacteria, such as Salmonella species, are modified to encode immunostimulatory proteins that confer anti-tumor activity in the tumor microenvironment, and / or are modified so that the bacteria preferentially infect immune cells in the tumor microenvironment, or tumor-resident immune cells, and / or are modified to induce less cell death in immune cells than in other cells. Also provided are methods of inhibiting the growth or reducing the volume of a solid tumor by administering the immunostimulatory bacteria.

The invention relates to a double-framework self-developing embolism system based on iodine modified PNIPAM gel and cross-linked albumin microspheres, which simulates a brick wall-concrete effect through a microsphere-gel composite structure and synergistically improves the embolism strength. A novel TACE treatment system is designed and constructed, multiple effects of tracing, embolism, hypoxia enhanced chemotherapy and tumor microenvironment improvement are achieved through the self-developing temperature-sensitive gel-drug carrying microspheres, and the anti-tumor effect is cooperatively improved.

The invention relates to a colorectal cancer space transcriptome prediction method and device based on deep learning and a storage medium. The prediction method comprises the following steps: collecting paired digital pathological images and spatial transcriptome data to form a data set; preprocessing the spatial transcriptome data; the method comprises the following steps of: constructing an STFormer model; the Style-Aug module is used for performing feature space conversion on an input digital pathological image; the dense connection convolutional network DenseNet module is used for constructing a deep mapping relation between a pathological image and a spatial transcriptome; the inter-batch full-image crossing Transform module is used for effectively avoiding overfitting of the model due to data volume limitation through an inter-batch attention mechanism; and performing spatial transcriptome prediction on the input digital pathological image by using the trained STFormer model to obtain a prediction result. Under the condition of a small sample, the performance and the general stability of a pathological image prediction space transcriptome are remarkably improved, and an efficient and reliable deep learning tool is provided for analyzing a tumor microenvironment.