Association of TP53 mutations with response and longer survival under immune checkpoint inhibitors in advanced non-small-cell lung cancer.
Tumor mutational burden (TMB) correlates with response to immune checkpoint inhibitors (ICI) in advanced non-small-cell lung cancer (aNSCLC). We hypothesized that TP53 mutations could reflect TMB and be associated with ICI benefit.
TP53 mutations were assessed by next-generation sequencing in aNSCLC patients treated with programmed death-1 (PD-1) blockers. Clinical data, tumor programmed death ligand-1 (PD-L1) expression, and KRAS mutational status were collected. The primary endpoint was overall survival (OS).
In total, 72 patients (median [interquartile range] age: 61 [33-83] years) were included; 52 (72%) were male; 39 (54%) had performance status 0-1; 53 (74%) had adenocarcinoma; 20 (28%) received first-line ICI, 52 (72%) second line or more. In 65 patients with available data, 36 (55%) expressed PD-L1 in ≥50% of tumor cells, 20 (31%) in 1-49% of cells, and nine (14%) were PD-L1-negative. Non-synonymous TP53 mutations were observed in 41 (57%) and 25 (35%) harbored KRAS-mutated tumors. After a median follow-up of 15.2 months (95% confidence interval [CI] 10.3-17.4 m), the median OS in the TP53-mutated group was 18.1 months (95% CI 6.6-not reached), vs. 8.1 months (95% CI 2.2-14.5, hazard ratio [HR] = 0.48; 95% CI 0.25-0.95, p = 0.04) in the TP53-wild-type group. Median progression-free survival was significantly longer in TP53-mutated patients (4.5 months, 95% CI 2.8-18.1 versus 1.4, 95% CI 1.1-3.5; p = 0.03), although TP53 mutation status failed to significantly influence PFS in the multivariate analysis (p = 0.32). Objective response rate (ORR) was higher in patients with TP53 mutation (51.2% vs. 20.7%; p = 0.01). In multivariate analysis, TP53 mutations independently associated with longer OS (HR = 0.35, 95% CI 0.16-0.77, p = 0.009).
TP53-mutated status correlated with immunotherapy OS benefit in aNSCLC.
Assoun S
，Theou-Anton N
，Nguenang M
，Cazes A
，Danel C
，Abbar B
，Pluvy J
，Gounant V
，Khalil A
，Namour C
，Brosseau S
，Zalcman G
... -
《-》
Integration of comprehensive genomic profiling, tumor mutational burden, and PD-L1 expression to identify novel biomarkers of immunotherapy in non-small cell lung cancer.
This study aimed to explore the novel biomarkers for immune checkpoint inhibitor (ICI) responses in non-small cell lung cancer (NSCLC) by integrating genomic profiling, tumor mutational burden (TMB), and expression of programmed death receptor 1 ligand (PD-L1).
Tumor and blood samples from 637 Chinese patients with NSCLC were collected for targeted panel sequencing. Genomic alterations, including single nucleotide variations, insertions/deletions, copy number variations, and gene rearrangements, were assessed and TMB was computed. TMB-high (TMB-H) was defined as ≥10 mutations/Mb. PD-L1 positivity was defined as ≥1% tumor cells with membranous staining. Genomic data and ICI outcomes of 240 patients with NSCLC were derived from cBioPortal.
EGFR-sensitizing mutations, ALK, RET, and ROS1 rearrangements were associated with lower TMB and PD-L1+/TMB-H proportions, whereas KRAS, ALK, RET, and ROS1 substitutions/indels correlated with higher TMB and PD-L1+/TMB-H proportions than wild-type genotypes. Histone-lysine N-methyltransferase 2 (KMT2) family members (KMT2A, KMT2C, and KMT2D) were frequently mutated in NSCLC tumors, and these mutations were associated with higher TMB and PD-L1 expression, as well as higher PD-L1+/TMB-H proportions. Specifically, patients with KMT2C mutations had higher TMB and PD-L1+/TMB-H proportions than wild-type patients. The median progression-free survival (PFS) was 5.47 months (95% CI 2.5-NA) in patients with KMT2C mutations versus 3.17 months (95% CI 2.6-4.27) in wild-type patients (p = 0.058). Furthermore, in patients with NSCLC who underwent ICI treatment, patients with TP53/KMT2C co-mutations had significantly longer PFS and greater durable clinical benefit (HR: 0.48, 95% CI: 0.24-0.94, p = 0.033). TP53 mutation combined with KMT2C or KRAS mutation was a better biomarker with expanded population benefit from ICIs therapy and increased the predictive power (HR: 0.46, 95% CI: 0.26-0.81, p = 0.007).
We found that tumors with different alterations in actionable target genes had variable expression of PD-L1 and TMB in NSCLC. TP53/KMT2C co-mutation might serve as a predictive biomarker for ICI responses in NSCLC.
Cancer immunotherapies, especially immune checkpoint inhibitors (ICIs), have revolutionized the treatment of non-small cell lung cancer (NSCLC); however, only a proportion of patients derive durable responses to this treatment. Biomarkers with greater accuracy are highly needed. In total, 637 Chinese patients with NSCLC were analyzed using next-generation sequencing and IHC to characterize the unique features of genomic alterations and TMB and PD-L1 expression. Our study demonstrated that KMT2C/TP53 co-mutation might be an accurate, cost-effective, and reliable biomarker to predict responses to PD-1 blockade therapy in NSCLC patients and that adding KRAS to the biomarker combination creates a more robust parameter to identify the best responders to ICI therapy.
Shi Y
，Lei Y
，Liu L
，Zhang S
，Wang W
，Zhao J
，Zhao S
，Dong X
，Yao M
，Wang K
，Zhou Q
... -
《Cancer Medicine》
Predictive Value of the TP53/PIK3CA/ATM Mutation Classifier for Patients With Bladder Cancer Responding to Immune Checkpoint Inhibitor Therapy.
Only a proportion of patients with bladder cancer may benefit from durable response to immune checkpoint inhibitor (ICI) therapy. More precise indicators of response to immunotherapy are warranted. Our study aimed to construct a more precise classifier for predicting the benefit of immune checkpoint inhibitor therapy.
This multi-cohort study examined the top 20 frequently mutated genes in five cohorts of patients with bladder cancer and developed the TP53/PIK3CA/ATM mutation classifier based on the MSKCC ICI cohort. The classifier was then validated in a validation set consisting of IMvigor210 cohort and Broad/Dana-Farber cohort. The molecular profile and immune infiltration characteristics in each subgroup as defined by this classifier were explored.
Among all 881 patients with bladder cancer, the mutation frequency of TP53, PIK3CA, and ATM ranked in the top 20 mutated genes. The TP53/PIK3CA/ATM mutation classifier was constructed based on the Memorial Sloan Kettering Cancer Center (MSKCC) ICI cohort and only showed predictive value for patients with bladder cancer who received ICI therapy (median overall survival: low-risk group, not reached; moderate-risk group, 13.0 months; high-risk group, 8.0 months; P<0.0001). Similar results were found in subgroups of MSKCC ICI cohort defined by tumor mutation burden. Multivariate Cox analysis revealed that the risk group defined by the classifier served as an independent prognostic factor for overall survival in patients with bladder cancer. Efficacy of the classifier was verified in a validation set consisting of IMvigor210 cohort and Broad/Dana-Farber cohort. Lower expression of PD-1/PD-L1 and less tumor immune infiltration were observed in the high-risk group than the other two groups of the TCGA cohort and the IMvigor210 cohort.
Our study constructed a TP53/PIK3CA/ATM mutation classifier to predict the benefit of immune checkpoint inhibitor therapy for patients with bladder cancer. This classifier can potentially complement the tumor mutation burden and guide clinical ICI treatment decisions according to distinct risk levels.
Pan YH
，Zhang JX
，Chen X
，Liu F
，Cao JZ
，Chen Y
，Chen W
，Luo JH
... -
《Frontiers in Immunology》
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