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Nomogram model for predicting curative effect of tumor immunotherapy and establishment method thereof
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A technology of immunotherapy and predictive model, applied in the field of biomedicine, can solve the problem of unknown prognosis of important mutation genes
Active Publication Date: 2020-10-30
SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
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However, the important mutated genes associated with bTMB and their prognostic role in patients undergoing immunotherapy are largely unknown
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[0039] 1137 patients with NSCLC receiving advanced second- 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) Mutationgene 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%), TET2 (8...
Embodiment 2
[0055] Verification and comparison of the model of embodiment 2
[0057] The OAK cohort (HR=0.37, 95%CI: 0.28-0.49, P Image 6 A), POPLAR cohort (HR=0.37, 95% CI: 0.18-0.66, P Image 6 B) and the whole cohort (HR=0.42, 95% CI: 0.33-0.54, P Image 6 C) Patients are divided into high-risk group and low-risk group.
[0059] By drawing the ROC curve analysis, the Nomogram A model predicts the 1-year, 2-year and 3-year OS of patients in the atezolizumab group in 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 model sho...
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Abstract
The invention discloses a nomogram model for predicting the curative effect of tumor immunotherapy and an establishment method thereof. The method comprises the following steps: analyzing and screening patient mutant genes and clinical characteristic data to obtain factors with remarkable correlation with immunotherapy, and further constructing a corresponding nomogram model. The invention provides three nomogram models in total, is suitable for different non-small celllungcancer patients, and assists in judging whether different patients can continue to receive treatment or select medicinechange; the model provided by the invention is simple and visual and easy to popularize and apply, can effectively help clinicians to carry out accurate individualized evaluation on Atezolizumabimmunotherapy when non-small celllungcancer patients are subjected to immunotherapy grouping and after treatment is started, brings better survival benefits to the patients, and has important value for effective application of non-small celllungcancer immunotherapy.
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 celllung 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 celllung 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...
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