scholarly journals Beyond Abscopal Effect: A Meta-Analysis of Immune Checkpoint Inhibitors and Radiotherapy in Advanced Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2352
Author(s):  
Francesco Fiorica ◽  
Umberto Tebano ◽  
Milena Gabbani ◽  
Mariasole Perrone ◽  
Sonia Missiroli ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Free Survival ◽  
Metastatic Nsclc ◽  
Nsclc Patients

Background: Immune checkpoint inhibitors (ICI) plus radiotherapy (RT) have been suggested as an emerging combination in non-small cell lung cancer (NSCLC) patients. However, little is known about the magnitude of its benefits and potential clinical predictors. Objective: To assess the effects of this combination on the increase in overall and progression-free survival. Data sources: The MEDLINE and CANCERLIT (1970–2020) electronic databases were searched, and the reference lists of included studies were manually searched. Study selection: Studies were included if they were comparative studies between combination ICI-RT and ICI or RT alone in advanced or metastatic NSCLC patients. Overall survival (OS) was analyzed according to the treatment strategy. Data extraction: Data on population, intervention, and outcomes were extracted from each study, in accordance with the intention-to-treat method, by two independent observers and combined using the DerSimonian method and Laird method. Results: Compared to ICI or RT alone, ICI-RT significantly increased the 1-year and 3-year OS RR by 0.75 (95% CI 0.64–0.88; p = 0.0003) and 0.85 (95% CI 0.78–0.93; p = 0.0006), respectively. Furthermore, there was a statistically significant benefit on 1- and 3-year progression-free survival (RR 0.73 (95% CI, 0.61–0.87; p = 0.0005) and RR 0.82 (95% CI 0.67–0.99; p = 0.04), respectively). Conclusions: In patients with advanced or metastatic NSCLC, combination ICI-RT increases 1- and 3-year OS and progression-free survival compared to ICI or RT alone.

Baseline systemic inflammatory immune index may predict overall survival and progression-free survival in patients with non-small cell lung cancer patients on immune checkpoint inhibitors.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21202-e21202
Author(s):  
John P. Palmer ◽  
Yenong Cao ◽  
Samer Ibrahim ◽  
Natasha Dhawan ◽  
Muhammad Zubair Afzal ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Free Survival ◽  
The Mean ◽  
Nsclc Patients

e21202 Background: Increased systemic inflammatory state and increased inflammation within tumor micro-environment (TME) have been associated with a worse prognosis and lower responsiveness to immune checkpoint inhibitors (ICI). Systemic inflammatory immune index (SII) reflects the changes in the systemic inflammatory matrix. Studies have shown the association of SII with cancer survival and treatment outcomes. We aim to study the effect of SII on treatment outcomes in non-small cell lung cancer (NSCLC) patients being treated with ICI. Methods: We conducted a retrospective analysis on 178 NSCLC patients treated with ICIs (pembrolizumab, nivolumab, ipilimumab/nivolumab or atezolizumab) alone or in combination with chemotherapy. SII is the product of platelets multiplied by neutrophils divided by lymphocytes. Baseline and 8-week SIIs were obtained. Radiographic response, duration of radiographic response (date of best response to radiographic progression), overall survival (OS), and progression-free survival (PFS) were evaluated. A high SII was defined as a value greater than the median SII. Cox regression univariate and multivariate analyses were performed. Logistic regression, t-test, and Chi-square tests were applied. Results: Overall, 81% patients had adenocarcinoma and 19% patients had squamous, adenosquamous or large cell carcinoma. The majority of the patients were female (56.2% vs. 43.8%). Median SII at baseline was 1335. The objective response rate (ORR) was 45.1%. The disease control rate was 75.8%. The ORR was 51% in patients receiving ICI first-line compared to 35% in those who received ICI as a second-line therapy. At baseline, there was no difference in the mean SII between responders and non-responders (2146.2 vs. 1917.5, P = 0.5); however at 8 weeks, the mean SII was significantly lower in responders compared to non-responders (1198.8 vs. 2880.2, P = 0.02). A total of 15 (10.9%) patients were found to have pseudoprogression or mixed response on follow-up imaging. Among these, 11(73.3%) patients had low SII at 8 weeks (P = 0.04). The median OS was significantly higher in patients with low SII at baseline (29.6 months vs. 10.1 months, P = 0.001 95% CI 10.6 – 22.1). Similarly, there was a significant difference in median PFS in patients with low SII (14.6 months vs. 6.7 months, P = 0.002, 95% CI 5.6 – 11.6). There was no correlation between high or low SII on the incidence of immune-related adverse events. Conclusions: SII may have significant impact on OS and PFS and could be serially monitored to assess the response to ICI. A low SII may help to differentiate pseudoprogression vs. true progression. Prospective studies are needed to validate these findings. Further, it will be interesting to see if SII could be incorporated into predictive models to determine the duration of cytotoxic therapy in selected patients.

scholarly journals Development of nomogram based on immune-related gene FGFR4 for advanced non-small cell lung cancer patients with sensitivity to immune checkpoint inhibitors

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Cancer Genomics ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.

scholarly journals Subunits of ARID1 serve as novel biomarkers for the sensitivity to immune checkpoint inhibitors and prognosis of advanced non-small cell lung cancer.

2020 ◽  
Author(s):  
Dantong Sun ◽  
Lu Tian ◽  
Yan Zhu ◽  
Yang Wo ◽  
Qiaoling Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Novel Biomarkers ◽  
Nsclc Patients

Abstract Introduction Patients with advanced non-small cell lung cancer (NSCLC) benefit from treatment with immune checkpoint inhibitors (ICIs). Biomarkers such as programmed death-ligand 1 (PD-L1), the tumor mutational burden (TMB) and the mismatch repair (MMR) status are used to predict the prognosis of ICIs therapy. Nevertheless, novel biomarkers need to be further investigated, and a systematic prognostic model is needed for the evaluation of the survival risks of ICIs treatment.Methods A cohort of 240 patients who received ICIs from the cBioPortal for Cancer Genomics was evaluated in this research. Clinical information and targeted sequencing data were acquired for analyses. The Kaplan-Meier plot method was used to perform survival analyses, and selected variables were then confirmed by a novel nomogram constructed by the “rms” package of R software.Results Seven percent of the NSCLC patients harbored ARID1A mutations, while 4% of the NSCLC patients harbored ARID1B mutations. Mutations in ARID1A and ARID1B were confirmed to be associated with sensitivity to ICIs. Patients harboring these mutations were found to have a better response to treatment (ARID1A: P=0.045; ARID1B: P=0.034) and prolonged progression-free survival (ARID1B: P=0.032). Here, a novel nomogram was constructed to predict the prognosis of ICIs treatment. Elevation of the TMB, enhanced expression of PD-L1 and activation of the antigen presentation process and cellular immunity were found to be correlated with ARID1A and ARID1B mutations.Conclusion ARID1A and ARID1B could serve as novel biomarkers for the prognosis and sensitivity to ICIs of advanced NSCLC.

Potential role of serum proteome in predicting immune-related adverse events from immune checkpoint inhibitors in non-small cell lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21218-e21218
Author(s):  
Leeseul Kim ◽  
Young Kwang Chae ◽  
Chan Mi Jung ◽  
Emma Yu ◽  
Alice Daeun Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Adverse Events ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Significant Difference ◽  
Nsclc Patients

e21218 Background: Early recognition of immune-related adverse events (irAEs) of immune checkpoint inhibitors(ICI) is important. Circulating proteome reflects host response to diseases and is being explored as a marker for response to immunotherapy. We previously have reported that a serum-based proteomics test, Primary Immune Response (PIR) demonstrated a trend that PIR-sensitive patients are more likely to tolerate ICI treatment longer without developing irAEs in non-small cell lung cancer (NSCLC) patients. The VeriStrat test is another serum-based proteomic assay, which was reported to be predictive of survival outcomes for all treatment regimens and lines of therapy including ICI in NSCLC. We explored the associations between the VeriStrat test and developing irAEs in NSCLC patients treated with ICI. Methods: Data of 70 consented NSCLC patients treated with any regimens and lines of therapy including ICI were collected. Samples were grouped into either VeriStrat ‘Good’(VS-G) or VeriStrat ‘Poor’(VS-P). We analyzed the durations from the immunotherapy initiation to each episode of irAE and each irAE above grade 2 using log-rank test. IrAEs were graded according to Common Terminology Criteria for Adverse Events (CTCAE) v5.0. Results: Among the 70 patients, 18 patients (25%) experienced one or more irAEs. There was no significant difference in ‘Time to first irAE’ between VS-G and VS-P (p = 0.72, HR = 0.82, 95% CI = 0.29-2.32). Among 48 VS-G patients, 12(25%) had one or more irAE and 5(10%)had irAE graded over 2. Among 22 VS-P patients, 6(27%) had one or more irAE and 2(9%) had irAE graded over 2. There was no significant difference between VS-G and VS-P groups in the development of irAE and irAE graded over 2. Conclusions: There was no statistically significant association between the VeriStrat test and the development of irAEs. Further studies are warranted to investigate proper serum based proteomic assay to predict the development of irAE.

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