A method for establishing a nomogram model for predicting the curative effect of tumor immunotherapy

A technology for immunotherapy and establishment of methods, applied in the field of biomedicine, can solve the problem of unknown prognostic effect of important mutant genes, achieve good survival benefits, reduce errors in judgment, and be easy to popularize and apply.

Active Publication Date: 2022-02-25
SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the important mutated genes associated with bTMB and their prognostic role in patients undergoing immunotherapy are largely unknown

Method used

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  • A method for establishing a nomogram model for predicting the curative effect of tumor immunotherapy
  • A method for establishing a nomogram model for predicting the curative effect of tumor immunotherapy
  • A method for establishing a nomogram model for predicting the curative effect of tumor immunotherapy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Example 1 Construction of a prediction model for the curative effect of non-small cell lung cancer immunotherapy

[0039] 1137 patients with NSCLC receiving advanced second-line or third-line therapy (full cohort), including 289 patients (POPLAR cohort) from the POPLAR phase II trial (NCT01903993) and 850 patients (OAK cohort) from the OAK phase III trial (NCT02008227) , according to the PRISMA-IPD and TRIPOD guidelines, patients were randomly assigned to atezolizumab group (POPLAR, N=144; OAK, N=425) and docetaxel group (POPLAR, N=143; OAK, N =425).

[0040] (1) Mutation gene screening for hematological tumors

[0041] The blood of all test patients was drawn, and the genetic status was detected by FDA-approved FoundationOneCDx NGS. In the whole cohort of patients, TP53 (50%), LRP1B (31%), DNMT3A (23%), SPTA1 (18%), FAT3 (18%), KEAP1 (14%), NF1 (13%), MLL2 (12%), STAG2 (12%), FAT1 (11%), TSC1 (11%), MLL3 (10%), SMARCA4 (9%) %), EPHA6 (9%), PTPRD (9%), KRAS (9%), TET...

Embodiment 2

[0055] Verification and comparison of the model of embodiment 2

[0056] (1) Verification and comparison of the Nomogram A model

[0057] The OAK cohort (HR=0.37, 95% CI: 0.28-0.49, P Figure 6 A), POPLAR cohort (HR=0.37, 95% CI: 0.18-0.66, P Figure 6 B) and the whole cohort (HR=0.42, 95% CI: 0.33-0.54, P Figure 6 C) Patients are divided into high-risk group and low-risk group.

[0058] The predictive power of the Nomogram A model was evaluated graphically and quantitatively by the calibration curve index. The cohort (C index 0.669) and the whole cohort (C index 0.646) had good predictive power.

[0059] ROC curve analysis showed that the Nomogram A model predicted the 1-year, 2-year and 3-year OS of patients in the atezolizumab group better than the OAK cohort (AUC=0.694, 0.721, 0.733), POPLAR cohort (AUC=0.693, 0.726 , 0.711) and the whole cohort (AUC=0.684, 0.696, 0.714) all had good prediction performance. Using DCA curve analysis found (such as Figure 7 A), Nomogram A...

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Abstract

The invention discloses a nomogram model for predicting the curative effect of tumor immunotherapy and its establishment method. The invention obtains the factors significantly related to immunotherapy by analyzing and screening the mutation gene and clinical characteristic data of patients, and further constructs the corresponding The nomogram model; the present invention provides 3 kinds of nomogram models, which are suitable for different non-small cell lung cancer patients, and assist in judging whether different patients can continue to receive treatment or choose to change the dressing; the model of the present invention is simple, intuitive, and easy to popularize and apply , can effectively help clinicians to accurately and individually evaluate atezolizumab immunotherapy for patients with non-small cell lung cancer when they receive immunotherapy and start treatment, so as to bring better survival benefits to patients. For non-small cell lung cancer patients The effective application of immunotherapy for small cell lung cancer is of great value.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to a nomogram model for predicting curative effect of tumor immunotherapy and a method for establishing the same. Background technique [0002] According to statistics, lung cancer is the tumor with the highest cancer incidence and mortality rate in China, and 75%-85% of them are non-small cell lung cancer (NSCLC). With the rapid development of immunotherapy, immune checkpoint inhibitors, especially programmed death-1 (PD-1) / programmed death-ligand-1 (PD-L1) inhibitors, have been used in the treatment of non-small cell lung cancer. A breakthrough has been made in China, which has changed the pattern of non-small cell lung cancer treatment. As a new hope for the treatment of tumors, immunotherapy has increased the 5-year survival rate of advanced non-small cell lung cancer several times. However, only 15%-20% of patients in the unselected population can benefit from it, and some patients w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/20G16H50/20G16H50/30G16B30/00G16B20/50G16B40/00
CPCG16H10/20G16H50/20G16H50/30G16B30/00G16B20/50G16B40/00
Inventor 姚和瑞余运芳胡海李志花李岸霖区绮云陈勇健
Owner SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
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