A method and system for analyzing intratumor heterogeneity based on gene sequencing
Through gene sequencing analysis and evaluation methods of nuclear magnetic image data area blocks, combined with graph neural network and other technologies, the accuracy and accuracy of tumor heterogeneity analysis in the existing technology are solved, and the efficacy evaluation of immune checkpoint inhibitors is achieved and the development of new tumor markers.
Patent Information
- Application Number
- CN202411703555.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-01-17
- Estimated Expiration
- 2044-11-26
AI Technical Summary
Existing indicators of efficacy evaluation of immune checkpoint inhibitors, such as TMB and MSI, cannot fully and effectively screen patients who benefit from immune checkpoint inhibitors, and systemic biological methods based on biological networks exist in tumor heterogeneity analysis. Questions of accuracy and accuracy.
By collecting and analyzing the gene expression data of the tumor, heterogeneous gene expression data are determined, and the evaluation method of nuclear magnetic image data area block gene expression data is used, combined with quantitative and screening operations, and information fusion and heterogeneity evaluation are used for graph neural network and other technologies. , develop new tumor markers.
Accurate evaluation and identification of tumor heterogeneity is achieved, the accuracy of the evaluation of the efficacy of immune checkpoint inhibitors is improved, and a new tumor marker based on gene sequencing is developed, which enhances the monitoring and analysis capabilities of tumor lesion changes.
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Figure CN119180000B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of gene testing technology, and in particular to a method and system for analyzing intratumor heterogeneity based on gene sequencing. Background Art
[0002] Anti-tumor targeted drugs and immune checkpoint inhibitors are currently more effective means of treating cancer. Currently, the more recognized potential indicators for evaluating the efficacy of immune checkpoint inhibitors anti-PD-(L)1, such as TMB (tumor mutation burden) and MSI (microsatellite instability), cannot completely and effectively screen out patients who benefit from immune checkpoint inhibitors. Recently, studies have proposed that ITH (tumor heterogeneity) may be used as a new potential indicator for evaluating the efficacy of immune checkpoint inhibitors PD-1. ITH refers to the fact that during the growth of a tumor, after multiple divisions and proliferations, its daughter cells show molecular biological or genetic changes, which leads to differences in tumor growth rate, invasive ability, sensitivity to drugs, prognosis, etc. It is one of the characteristics of malignant tumors. In general, it is recommended that these immune checkpoint inhibitors be genetically tested before being used for tumor treatment to determine whether the drug is suitable and what drug to use.
[0003] At present, the system biology method based on biological networks has become the main means of high-throughput data analysis for cancer. This type of analysis method can effectively fuse and analyze high-dimensional data from the network level, and then reveal the biological significance behind it. A more representative method, such as analyzing the distribution of variability of genes with similar functions in the same signaling pathway in a large number of cancer patients, reveals the phenomenon of heterogeneity among important cancer genes. That is, genes that play a key role in the same signaling pathway do not mutate at the same time, which indicates that there is functional complementarity between key genes. Summary of the invention
[0004] To achieve the above objectives, this application provides the following technical solutions:
[0005] According to the first aspect of the present invention, the present invention claims a method for analyzing intratumor heterogeneity based on gene sequencing, comprising:
[0006] Collect gene expression data of the tumor to be analyzed;
[0007] Analyzing the gene expression data of the current tumor to be analyzed to determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data, wherein the heterogeneous gene expression data is used to represent the gene expression data of the heterogeneous tumor that meets the preset conditions and is included in the gene expression data of the current tumor to be analyzed;
[0008] Under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, completing an evaluation operation on the gene expression data of the tumor to be analyzed currently, and obtaining the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record;
[0009] Wherein, under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, completing the evaluation operation on the gene expression data of the tumor to be analyzed currently, and obtaining the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record includes:
[0010] Determine the proportion of heterogeneous gene expression data in the gene expression data of the tumor to be analyzed;
[0011] Under the condition that it is determined that the proportion of the heterogeneous gene expression amount is less than the preset gene expression amount, a heterogeneous evaluation method is determined according to the preset recognition characteristics of the lesion control of the nuclear magnetic resonance image data area block;
[0012] According to the heterogeneous evaluation method, an evaluation operation is performed on the tumor to be analyzed, and gene expression data of the nuclear magnetic resonance imaging data region block of the heterogeneous tumor is obtained based on the operation record;
[0013] Among them, according to the heterogeneous evaluation method, the gene expression data of the tumor to be analyzed is evaluated, and the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record, including:
[0014] Under the condition that the heterogeneous evaluation method is determined to be a quantitative operation, the gene expression data of the tumor to be analyzed are reduced by the same ratio and enlarged by the same ratio one by one according to the preset quantitative ratio parameters to obtain the gene expression data of the first nuclear magnetic resonance image data area block;
[0015] Performing a heterogeneous fusion operation on the gene expression data of the first nuclear magnetic imaging data region block and the gene expression data of the tumor to be analyzed, so as to obtain the gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor;
[0016] Among them, according to the heterogeneous evaluation method, the gene expression data of the tumor to be analyzed is evaluated, and the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record, including:
[0017] Under the condition that the heterogeneous evaluation method is determined to be a screening operation, an evaluation operation is performed on the gene expression data of the tumor to be analyzed according to a heterogeneous evaluation algorithm to obtain gene expression data of a second nuclear magnetic resonance imaging data region block;
[0018] Performing a heterogeneous fusion operation on the gene expression data of the second nuclear magnetic resonance image data region block and the gene expression data of the tumor to be analyzed, so as to obtain the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor;
[0019] Wherein, before performing an evaluation operation on the gene expression data of the tumor to be analyzed according to the heterogeneous evaluation algorithm, the method further includes:
[0020] Sequencing the gene expression data of the tumor to be analyzed;
[0021] The heterogeneity evaluation method is determined according to the sequenced gene expression sequencing records.
[0022] Further, the analyzing the gene expression data of the tumor to be analyzed to determine whether the gene expression data of the tumor to be analyzed contains heterogeneous gene expression data includes:
[0023] Collecting sample gene expression data, wherein the sample gene expression data is used to represent gene expression data of a tumor of the same type as the heterogeneous tumor;
[0024] According to the sample gene expression data, performing a nuclear magnetic image data area block lesion updating operation on the gene expression data of the current tumor to be analyzed, so that the nuclear magnetic image data area block lesion of the gene expression data of the current tumor to be analyzed is the same as the nuclear magnetic image data area block lesion of the sample gene expression data;
[0025] The gene expression data of the tumor to be analyzed currently after the lesion updating operation of the nuclear magnetic image data area block is matched with the sample gene expression data to determine whether the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data.
[0026] Furthermore, after obtaining the gene expression data of the nuclear magnetic resonance imaging data region block of the heterogeneous tumor based on the operation record, the method further includes:
[0027] The gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor is evaluated for lesion changes to obtain the gene expression data of the heterogeneous nuclear magnetic imaging data region block.
[0028] According to the second aspect of the present invention, the present invention claims a system for analyzing intratumor heterogeneity based on gene sequencing, comprising:
[0029] one or more processors;
[0030] A memory having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for analyzing intratumor heterogeneity based on gene sequencing.
[0031] The present application relates to the field of gene testing technology, and in particular to a method and system for analyzing intratumor heterogeneity based on gene sequencing, collecting gene expression data of the current tumor to be analyzed; analyzing the gene expression data of the current tumor to be analyzed to determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data; and completing an evaluation operation on the gene expression data of the current tumor to be analyzed under the condition that the gene expression data of the current tumor to be analyzed contains the heterogeneous gene expression data, and obtaining the gene expression data of the nuclear magnetic imaging data area block of the heterogeneous tumor based on the operation record. The present invention provides a brand-new method to establish gene expression data based on tumor heterogeneity, and fuse, enrich and analyze a large number of abnormally expressed genes to develop new tumor markers based on this mechanism. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A structural diagram of a system for analyzing intratumor heterogeneity based on gene sequencing as claimed in an embodiment of the present application;
[0033] Figure 2 A flowchart of the method for analyzing intratumor heterogeneity based on gene sequencing claimed in the embodiments of the present application;
[0034] Figure 3 This is a structural module diagram of the device for analyzing intratumor heterogeneity based on gene sequencing as claimed in the embodiments of the present application. DETAILED DESCRIPTION
[0035] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0036] In order to facilitate the description of the above-mentioned method based on gene sequencing to analyze intratumor heterogeneity and sample tumors, please combine the sample Figure 1 , provides a schematic diagram of the communication architecture of the system 100 for analyzing intratumor heterogeneity based on gene sequencing disclosed in an embodiment of the present application. The system 100 for analyzing intratumor heterogeneity based on gene sequencing may include a sequenced tumor 200 and a sample tumor 300, and the sequenced tumor 200 is in communication connection with the sample tumor 300.
[0037] Based on the above, please refer to Figure 2 , is a flow chart of a method for analyzing intratumor heterogeneity based on gene sequencing provided in an embodiment of the present application. The method for analyzing intratumor heterogeneity based on gene sequencing can be applied to Figure 1 The sample tumor 300 in the embodiment further comprises the following features introduced in steps S21 to S23:
[0038] Step S21, collecting gene expression data of the tumor to be analyzed.
[0039] Step S22, analyzing the gene expression data of the tumor to be analyzed to determine whether the gene expression data of the tumor to be analyzed contains heterogeneous gene expression data.
[0040] Exemplarily, the heterogeneous gene expression data is used to represent the gene expression data of the heterogeneous tumor that meets the preset conditions and is included in the gene expression data of the tumor to be analyzed currently.
[0041] The preset condition is that there are no abnormal values in the gene expression data.
[0042] Step S23, under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, an evaluation operation is performed on the gene expression data of the tumor to be analyzed currently, and gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record.
[0043] For example, the gene expression data of the nuclear magnetic resonance imaging data region block represents the lesion size value detected by the nuclear magnetic resonance imaging data region block in a working state under monitoring conditions.
[0044] It can be understood that when the features introduced in the above steps S21 to S23 are completed, since the gene expression data of the tumor to be analyzed is evaluated, the gene expression data in the gene expression data of the nuclear magnetic imaging data area block can be monitored. By real-time monitoring of the heterogeneous gene expression levels of the tumor in the nuclear magnetic imaging data area block, the changes in the lesions of the tumor in the nuclear magnetic imaging data area block can be obtained in a timely manner.
[0045] In another alternative embodiment, the inventors have discovered that, under the condition that the gene expression data of the current tumor to be analyzed includes the heterogeneous gene expression data, when completing an evaluation operation on the gene expression data of the current tumor to be analyzed, there is a problem of inaccurate evaluation operation, making it difficult to accurately obtain the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record. In order to solve the above technical problem, the step S23 described in the step of completing an evaluation operation on the gene expression data of the current tumor to be analyzed under the condition that the gene expression data of the current tumor to be analyzed includes the heterogeneous gene expression data, and obtaining the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record can specifically include the features introduced in the following steps S231 to S233.
[0046] Step S231, determining the proportion of heterogeneous gene expression data in the gene expression data of the current tumor to be analyzed.
[0047] Step S232, under the condition that it is determined that the proportion of the heterogeneous gene expression amount is less than the preset gene expression amount, a heterogeneous evaluation method is determined according to a preset recognition feature of the lesion control of the nuclear magnetic resonance image data area block.
[0048] Step S233: performing an evaluation operation on the current tumor to be analyzed according to the heterogeneous evaluation method, and acquiring gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record.
[0049] It can be understood that when completing the features introduced in the above steps S231 to S233, under the condition that the gene expression data of the current tumor to be analyzed includes the heterogeneous gene expression data, when completing the evaluation operation on the gene expression data of the current tumor to be analyzed, the problem of inaccurate evaluation operation is avoided, so that the gene expression data of the magnetic resonance imaging data area block of the heterogeneous tumor can be accurately obtained based on the operation record.
[0050] In another alternative embodiment, the inventors have discovered that, when performing an evaluation operation on the gene expression data of the current tumor to be analyzed according to the heterogeneous evaluation method, there is a problem of quantitative evaluation, making it difficult to accurately obtain the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record. In order to solve the above technical problem, the steps described in step S233 of performing an evaluation operation on the gene expression data of the current tumor to be analyzed according to the heterogeneous evaluation method and obtaining the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record may specifically include the features introduced in the following steps S233a1 and S233a2.
[0051] Step S233a1, under the condition that the heterogeneous evaluation method is determined to be a quantitative operation, the gene expression data of the current tumor to be analyzed are reduced and magnified at the same ratio one by one according to preset quantitative ratio parameters to obtain the gene expression data of the first nuclear magnetic resonance image data region block.
[0052] Step S233a2, performing a heterogeneous fusion operation on the gene expression data of the first nuclear magnetic resonance image data region block and the gene expression data of the current tumor to be analyzed, so as to obtain the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor.
[0053] Heterogeneous information fusion methods connect and fuse different types of information by constructing heterogeneous information networks, thereby describing gene expression data more comprehensively. Specifically, heterogeneous information network fusion methods can represent the nodes of gene expression data through technologies such as graph neural networks, and transmit and fuse information through the connection relationship between nodes, thereby drawing more accurate and personalized conclusions.
[0054] It can be understood that when the features introduced in the above steps S233a1 and S233a2 are completed, when the gene expression data of the current tumor to be analyzed is evaluated according to the heterogeneous evaluation method, the problem of quantitative evaluation is avoided, so that the gene expression data of the magnetic resonance imaging data area block of the heterogeneous tumor can be accurately obtained based on the operation record.
[0055] In another alternative embodiment, the inventors have discovered that, when performing an evaluation operation on the gene expression data of the current tumor to be analyzed according to the heterogeneous evaluation method, there is a problem of inaccurate evaluation due to a single evaluation method, making it difficult to accurately obtain the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record. In order to solve the above technical problem, the step S233 described in performing an evaluation operation on the gene expression data of the current tumor to be analyzed according to the heterogeneous evaluation method and obtaining the gene expression data of the nuclear magnetic resonance image data area block of the heterogeneous tumor based on the operation record can specifically include the features introduced in the following steps S233b1 and S233b2.
[0056] Step S233b1, under the condition that the heterogeneous evaluation method is determined to be a screening operation, an evaluation operation is performed on the gene expression data of the current tumor to be analyzed according to a heterogeneous evaluation algorithm to obtain gene expression data of a second nuclear magnetic resonance image data region block.
[0057] The main methods of evaluative testing for heterogeneity evaluation include: Q value evaluation, I2 evaluation, H evaluation and other test methods. The Q value evaluation test method is widely used, but it is affected by the number of included studies. If many studies are included, the Q test may have evaluative significance even if there is no heterogeneity; if few studies are included, the Q test may not have evaluative significance even if there is heterogeneity. The H and I2 evaluation test methods correct the evaluation quantity Q for the degree of freedom (number of literature), which will not change with the number of included studies, and the results are more stable and reliable.
[0058] Step S233b2, performing a heterogeneous fusion operation on the gene expression data of the second nuclear magnetic resonance image data region block and the gene expression data of the current tumor to be analyzed, so as to obtain the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor.
[0059] It can be understood that when the features introduced in the above steps S233b1 and S233b2 are completed, when the gene expression data of the current tumor to be analyzed is evaluated according to the heterogeneous evaluation method, the problem of inaccurate evaluation due to a single evaluation method is avoided, so that the gene expression data of the magnetic resonance imaging data area block of the heterogeneous tumor can be accurately obtained based on the operation record.
[0060] Based on the above foundation, before the gene expression data of the tumor to be analyzed is evaluated according to the heterogeneous evaluation algorithm, the following features are also included in step q1 and step q2.
[0061] Step q1, sequencing the gene expression data of the tumor to be analyzed.
[0062] Step q2, determining the heterogeneity evaluation method according to the sequenced gene expression sequencing records.
[0063] It can be understood that when the features introduced in the above steps q1 and q2 are completed, the calculation accuracy of the heterogeneous evaluation method is effectively improved by real-time sequencing of the gene expression data of the tumor to be analyzed.
[0064] In another alternative embodiment, the inventors discovered that there is a technical problem of inaccurate gene expression analysis in analyzing the gene expression data of the current tumor to be analyzed, making it difficult to accurately determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data. In order to solve the above technical problem, the step of analyzing the gene expression data of the current tumor to be analyzed to determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data as described in step S22 can specifically include the features introduced in the following steps S221 to S223.
[0065] Step S221, collecting sample gene expression data.
[0066] It can be understood that the sample gene expression data is used to represent the gene expression data of a tumor of the same category as the heterogeneous tumor.
[0067] Step S222, based on the sample gene expression data, performing a nuclear magnetic image data regional block lesion updating operation on the gene expression data of the current tumor to be analyzed, so that the nuclear magnetic image data regional block lesion of the gene expression data of the current tumor to be analyzed is the same as the nuclear magnetic image data regional block lesion of the sample gene expression data.
[0068] Step S223, matching the gene expression data of the tumor to be analyzed after the MRI data area block lesion updating operation with the sample gene expression data to determine whether the gene expression data of the tumor to be analyzed contains the heterogeneous gene expression data.
[0069] It can be understood that when the features introduced in the above steps S221 to S223 are completed, the gene expression data of the current tumor to be analyzed is analyzed to avoid the technical problem of inaccurate gene expression analysis, so that it can be accurately determined whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data.
[0070] Based on the above foundation, after obtaining the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record, the following steps are also included as described in the following steps w1.
[0071] Step w1, evaluating the changes of lesions on the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor to obtain the gene expression data of the heterogeneous nuclear magnetic resonance image data region block.
[0072] It can be understood that when the features introduced in the above step w1 are completed, the gene expression data of the heterogeneous nuclear magnetic resonance image data region block can be obtained more accurately by improving the evaluation accuracy of the gene expression data.
[0073] In another alternative embodiment, the inventors discovered that before collecting the gene expression data of the current tumor to be analyzed, there is a problem of quantification of the collected related data, making it difficult to accurately collect the gene expression data of the current tumor to be analyzed. In order to solve the above technical problem, the step of collecting the gene expression data of the current tumor to be analyzed described in step S21 can specifically include the features introduced in the following steps S211-S214.
[0074] Step S211, collecting sample lesion change data.
[0075] Step S212, screening the sample lesion change data to obtain tumor lesion change data and interference data.
[0076] Step S213, removing the interference data.
[0077] Step S214, combining the tumor lesion change data according to time sequence to obtain the gene expression data of the current tumor to be analyzed.
[0078] It can be understood that when completing the features introduced in the above steps S211 to S214, before collecting the gene expression data of the current tumor to be analyzed, quantitative problems in the collected related data are avoided, so that the gene expression data of the current tumor to be analyzed can be accurately collected.
[0079] Based on the same inventive concept, a system for analyzing intratumor heterogeneity based on gene sequencing is also provided, wherein the system comprises a sequenced tumor and a sample tumor, wherein the sequenced tumor is in communication connection with the sample tumor, and the sample tumor is specifically used for:
[0080] Collect gene expression data of the tumor to be analyzed;
[0081] Analyzing the gene expression data of the current tumor to be analyzed to determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data, wherein the heterogeneous gene expression data is used to represent the gene expression data of the heterogeneous tumor that meets the preset conditions and is included in the gene expression data of the current tumor to be analyzed;
[0082] Under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, an evaluation operation is performed on the gene expression data of the tumor to be analyzed currently, and the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record.
[0083] Furthermore, the sample tumor is specifically used for:
[0084] Determine the proportion of heterogeneous gene expression data in the gene expression data of the tumor to be analyzed;
[0085] Under the condition that it is determined that the proportion of the heterogeneous gene expression amount is less than the preset gene expression amount, a heterogeneous evaluation method is determined according to the preset recognition characteristics of the lesion control of the nuclear magnetic resonance image data area block;
[0086] According to the heterogeneous evaluation method, an evaluation operation is performed on the current tumor to be analyzed, and gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record.
[0087] Furthermore, the sample tumor is specifically used for:
[0088] Under the condition that the heterogeneous evaluation method is determined to be a quantitative operation, the gene expression data of the tumor to be analyzed are reduced by the same ratio and enlarged by the same ratio one by one according to the preset quantitative ratio parameters to obtain the gene expression data of the first nuclear magnetic resonance image data area block;
[0089] A heterogeneous fusion operation is performed on the gene expression data of the first nuclear magnetic imaging data region block and the gene expression data of the tumor to be analyzed currently, so as to obtain the gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor.
[0090] Furthermore, the sample tumor is specifically used for:
[0091] Under the condition that the heterogeneous evaluation method is determined to be a screening operation, an evaluation operation is performed on the gene expression data of the tumor to be analyzed according to a heterogeneous evaluation algorithm to obtain gene expression data of a second nuclear magnetic resonance imaging data region block;
[0092] A heterogeneous fusion operation is performed on the gene expression data of the second nuclear magnetic resonance image data region block and the gene expression data of the tumor to be analyzed currently, so as to obtain the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor.
[0093] Furthermore, the sample tumor is specifically used for:
[0094] The gene expression data of the tumor to be analyzed is sequenced; and the heterogeneity evaluation method is determined according to the sequenced gene expression sequencing records.
[0095] Furthermore, the sample tumor is specifically used for:
[0096] Collecting sample gene expression data, wherein the sample gene expression data is used to represent gene expression data of a tumor of the same type as the heterogeneous tumor;
[0097] According to the sample gene expression data, performing a nuclear magnetic image data area block lesion updating operation on the gene expression data of the current tumor to be analyzed, so that the nuclear magnetic image data area block lesion of the gene expression data of the current tumor to be analyzed is the same as the nuclear magnetic image data area block lesion of the sample gene expression data;
[0098] The gene expression data of the tumor to be analyzed currently after the lesion updating operation of the nuclear magnetic image data area block is matched with the sample gene expression data to determine whether the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data.
[0099] Furthermore, the sample tumor is specifically used for:
[0100] The gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor is evaluated for lesion changes to obtain the gene expression data of the heterogeneous nuclear magnetic imaging data region block.
[0101] Furthermore, the sample tumor is specifically used for:
[0102] Collect data on changes in sample lesions;
[0103] Screening the sample lesion change data to obtain tumor lesion change data and interference data;
[0104] Eliminate the interference data;
[0105] The tumor lesion change data are combined according to the time sequence to obtain the gene expression data of the current tumor to be analyzed.
[0106] Based on the same inventive concept as above, please refer to Figure 3 , also provides a functional module block diagram of a device for analyzing intra-tumor heterogeneity based on gene sequencing, and a detailed description of the device for analyzing intra-tumor heterogeneity based on gene sequencing is as follows.
[0107] A device for analyzing intratumor heterogeneity based on gene sequencing, applied to a sample tumor, comprising:
[0108] Gene expression data collection module 510, used to collect gene expression data of the tumor to be analyzed;
[0109] A gene expression data determination module 520, configured to analyze the gene expression data of the tumor to be analyzed to determine whether the gene expression data of the tumor to be analyzed includes heterogeneous gene expression data, wherein the heterogeneous gene expression data is used to represent the gene expression data of a heterogeneous tumor that meets a preset condition and is included in the gene expression data of the tumor to be analyzed.
[0110] The data record determination module 530 is used to complete an evaluation operation on the gene expression data of the tumor to be analyzed, under the condition that the gene expression data of the tumor to be analyzed contains the heterogeneous gene expression data, and obtain the gene expression data of the nuclear magnetic resonance imaging data area block of the heterogeneous tumor based on the operation record.
[0111] The present application provides a sample tumor, comprising: a memory for storing a computer program; an operator connected to the memory, for completing the computer program stored in the memory to implement the above method.
[0112] The present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed, the above method is performed.
[0113] In summary, the method and sample tumor for analyzing intratumor heterogeneity based on gene sequencing can monitor the gene expression data in the gene expression data of the nuclear magnetic imaging data area block because the gene expression data of the current tumor to be analyzed is evaluated. By real-time monitoring of the heterogeneous gene expression of the tumor in the nuclear magnetic imaging data area block, the lesion changes of the tumor in the nuclear magnetic imaging data area block can be obtained in time, and the problem of tumor destruction caused by excessive heat generation due to excessive gene expression of related tumors can be effectively avoided.
[0114] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.
Claims
1. A method for analyzing intratumor heterogeneity based on gene sequencing, characterized in that: include: Collect gene expression data of the tumor to be analyzed; Analyzing the gene expression data of the current tumor to be analyzed to determine whether the gene expression data of the current tumor to be analyzed contains heterogeneous gene expression data, wherein the heterogeneous gene expression data is used to represent the gene expression data of the heterogeneous tumor that meets the preset conditions and is included in the gene expression data of the current tumor to be analyzed; Under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, completing an evaluation operation on the gene expression data of the tumor to be analyzed currently, and obtaining the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record; Under the condition that the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data, completing the evaluation operation on the gene expression data of the tumor to be analyzed currently, and obtaining the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record includes: Determine the proportion of heterogeneous gene expression data in the gene expression data of the tumor to be analyzed; Under the condition that it is determined that the proportion of the heterogeneous gene expression amount is less than the preset gene expression amount, a heterogeneous evaluation method is determined according to the preset recognition characteristics of the lesion control of the nuclear magnetic resonance image data area block; According to the heterogeneous evaluation method, an evaluation operation is performed on the current tumor to be analyzed, and gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained based on the operation record.
2. The method according to claim 1, characterized in that According to the heterogeneous evaluation method, an evaluation operation is performed on the gene expression data of the tumor to be analyzed, and based on the operation record, the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained, which includes: Under the condition that the heterogeneous evaluation method is determined to be a quantitative operation, the gene expression data of the tumor to be analyzed are reduced by the same ratio and enlarged by the same ratio one by one according to the preset quantitative ratio parameters to obtain the gene expression data of the first nuclear magnetic resonance image data area block; A heterogeneous fusion operation is performed on the gene expression data of the first nuclear magnetic imaging data region block and the gene expression data of the tumor to be analyzed currently, so as to obtain the gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor.
3. The method according to claim 2, characterized in that According to the heterogeneous evaluation method, an evaluation operation is performed on the gene expression data of the tumor to be analyzed, and based on the operation record, the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor is obtained, which includes: Under the condition that the heterogeneous evaluation method is determined to be a screening operation, an evaluation operation is performed on the gene expression data of the tumor to be analyzed according to a heterogeneous evaluation algorithm to obtain gene expression data of a second nuclear magnetic resonance imaging data region block; A heterogeneous fusion operation is performed on the gene expression data of the second nuclear magnetic resonance image data region block and the gene expression data of the tumor to be analyzed currently, so as to obtain the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor.
4. The method according to claim 3, characterized in that Before performing an evaluation operation on the gene expression data of the tumor to be analyzed according to the heterogeneous evaluation algorithm, the method further includes: Sequencing the gene expression data of the tumor to be analyzed; The heterogeneity evaluation method is determined according to the sequenced gene expression sequencing records.
5. The method according to claim 1, characterized in that The analyzing the gene expression data of the tumor to be analyzed to determine whether the gene expression data of the tumor to be analyzed contains heterogeneous gene expression data includes: Collecting sample gene expression data, wherein the sample gene expression data is used to represent gene expression data of a tumor of the same type as the heterogeneous tumor; According to the sample gene expression data, performing a nuclear magnetic image data area block lesion updating operation on the gene expression data of the current tumor to be analyzed, so that the nuclear magnetic image data area block lesion of the gene expression data of the current tumor to be analyzed is the same as the nuclear magnetic image data area block lesion of the sample gene expression data; The gene expression data of the tumor to be analyzed currently after the lesion updating operation of the nuclear magnetic image data area block is matched with the sample gene expression data to determine whether the gene expression data of the tumor to be analyzed currently includes the heterogeneous gene expression data.
6. The method according to claim 1, characterized in that After acquiring the gene expression data of the nuclear magnetic resonance image data region block of the heterogeneous tumor based on the operation record, the method further includes: The gene expression data of the nuclear magnetic imaging data region block of the heterogeneous tumor is evaluated for lesion changes to obtain the gene expression data of the heterogeneous nuclear magnetic imaging data region block.
7. A system for analyzing intratumor heterogeneity based on gene sequencing, characterized in that: include: one or more processors; A memory having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement a method for analyzing intratumor heterogeneity based on gene sequencing according to any one of claims 1 to 6.
Citation Information
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