RAD51Bme as predictive biomarker for PD-1 blockade response in non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15235-e15235
Author(s):  
Inês Maria Guerreiro ◽  
Daniela Barros-Silva ◽  
Paula Lopes ◽  
Ana Luísa Cunha ◽  
João Lobo ◽  
...  

e15235 Background: Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with likelihood of response to specific checkpoint inhibitors, prediction of response is rather imperfect and, thus, more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B, a DNA-repair gene, as candidate predictive biomarker for efficacy of anti-PD-1 therapy in patients with non-small cell lung cancer (NSCLC), correlating with patients’ outcome. Methods: PD-L1 immunoexpression and RAD51Bme levels were analysed in samples of NSCLC obtained from patients not treated with anti-PD-1 blockade (testing cohort) and patients treated with anti-PD-1 (validation cohort). Results: Of a total of 127 patients assessed, 58.3% depicted positivity for PD-L1 (PD-L1+). RAD51Bme levels significantly associated with PD-L1 immunoexpression. Patients with clinical benefit from immunotherapy disclosed higher RAD51Bme levels (p = 0.04) and significantly higher median progression free survival (PFS) (p = 0.02). PD-L1+ was also associated with longer overall survival (p = 0.03). Conclusions: We demonstrated that RAD51Bme levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of RAD51Bme should be confirmed in prospective studies.

2020 ◽  
Vol 9 (4) ◽  
pp. 1000
Author(s):  
Inês Maria Guerreiro ◽  
Daniela Barros-Silva ◽  
Paula Lopes ◽  
Mariana Cantante ◽  
Ana Luísa Cunha ◽  
...  

Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B (RAD51Bme) as a candidate predictive biomarker for anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC), correlating with patients’ outcome. PD-L1 immunoexpression and RAD51Bme levels were analysed in NSCLC samples obtained from patients not treated with anti-PD-1 (Untreated Cohort (#1)) and patients treated with PD-1 blockade (Treated Cohort (#2)). Of a total of 127 patients assessed, 58.3% depicted PD-L1 positivity (PD-L1+). RAD51Bme levels were significantly associated with PD-L1 immunoexpression. Patients with PD-1 blockade clinical benefit disclosed higher RAD51Bme levels (p = 0.0390) and significantly lower risk of disease progression (HR 0.37; 95% CI: 0.15–0.88; p = 0.025). Combining RAD51Bme+ with PD-L1+ improved the sensitivity of the test to predict immunotherapy response. PD-L1+ was also associated with lower risk of death (HR 0.35; 95% CI: 0.15–0.81; p = 0.014). Thus, RAD51Bme levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of RAD51Bme should be confirmed in prospective studies.


Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1452
Author(s):  
Karmele Saez de Gordoa ◽  
Ingrid Lopez ◽  
Marta Marginet ◽  
Berta Coloma ◽  
Gerard Frigola ◽  
...  

Anti-programmed cell death (PD1)/ligand-1 (PD-L1) checkpoint inhibitors have improved the survival of non-small cell lung cancer (NSCLC) patients. Additionally, PD-L1 has emerged as a predictive biomarker of response. Our goal was to examine the histological features of all PD-L1 cases of NSCLC analyzed in our center between 2017 and 2020, as well as to correlate the expression values of the same patient in different tested samples. PD-L1 immunohistochemistry (IHC) was carried out on 1279 external and internal samples: 482 negative (tumor proportion score, TPS < 1%; 37.7%), 444 low-expression (TPS 1–49%; 34.7%) and 353 high-expression (TPS ≥ 50%; 27.6%). Similar results were observed with samples from our institution (N = 816). Significant differences were observed with respect to tumor histological type (p = 0.004); squamous carcinoma was positive in a higher proportion of cases than other histological types. There were also differences between PD-L1 expression and the type of sample analyzed (surgical, biopsy, cytology; p < 0.001), with a higher frequency of negative cytology. In addition, there were cases with more than one PD-L1 determination, showing heterogeneity. Our results show strong correlation with the literature data and reveal heterogeneity between tumors and samples from the same patient, which could affect eligibility for treatment with immunotherapy.


2019 ◽  
Vol 106 ◽  
pp. 144-159 ◽  
Author(s):  
Arsela Prelaj ◽  
Rebecca Tay ◽  
Roberto Ferrara ◽  
Nathalie Chaput ◽  
Benjamin Besse ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4705
Author(s):  
Olga Rodak ◽  
Manuel David Peris-Díaz ◽  
Mateusz Olbromski ◽  
Marzenna Podhorska-Okołów ◽  
Piotr Dzięgiel

Non-small cell lung cancer (NSCLC) is a subtype of the most frequently diagnosed cancer in the world. Its epidemiology depends not only on tobacco exposition but also air quality. While the global trends in NSCLC incidence have started to decline, we can observe region-dependent differences related to the education and the economic level of the patients. Due to an increasing understanding of NSCLC biology, new diagnostic and therapeutic strategies have been developed, such as the reorganization of histopathological classification or tumor genotyping. Precision medicine is focused on the recognition of a genetic mutation in lung cancer cells called “driver mutation” to provide a variety of specific inhibitors of improperly functioning proteins. A rapidly growing group of approved drugs for targeted therapy in NSCLC currently allows the following mutated proteins to be treated: EGFR family (ERBB-1, ERBB-2), ALK, ROS1, MET, RET, NTRK, and RAF. Nevertheless, one of the most frequent NSCLC molecular sub-types remains without successful treatment: the K-Ras protein. In this review, we discuss the current NSCLC landscape treatment focusing on targeted therapy and immunotherapy, including first- and second-line monotherapies, immune checkpoint inhibitors with chemotherapy treatment, and approved predictive biomarkers.


Sign in / Sign up

Export Citation Format

Share Document