| Literature DB >> 35047065 |
Omar Abdihamid1, Abeid Omar2, Tibera Rugambwa3.
Abstract
Immune checkpoint inhibitors (ICIs) have increased modern anticancer armamentarium portfolios, with 15%-60% of cancer patients deriving clinical benefit while others progress, including some occurrences of accelerated progressions. ICIs have also introduced a new pattern of immune-related adverse events (irAEs). Recently, a mechanistic link was proposed in which patients who develop ICIs-related irAEs derive a survival benefit compared to those who do not, suggesting an overlap between toxicities and the treatment efficacy. Identifying predictive biomarkers to optimally identify patients who will benefit from ICIs is a contemporary research area in Oncology. However, the data remains sparse, with only several smaller studies showing a plausible direct proportionality of a therapeutic effect across tumours. In contrast, the overall survival and progression-free survival rate depend on the tumour type, degree of toxicities, duration of exposure, affected system/organs and inherent patient characteristics. Furthermore, the occurrence of irAEs appears to be more associated with a clinical benefit from programmed death 1 and programmed death-ligand 1 inhibitors than anti-cytotoxic T-lymphocyte-associated antigen 4. Several questions remain unanswered, including the association between survival benefit and specific type of organ system toxicities, toxicity grade, if the benefit is entirely due to immortal-time biases (ITBs), presence of patients confounding comorbidities like autoimmune diseases, and finally, immune heterogeneities. Considering ITB represents a key element in interpreting these studies since patients with precipitated death or with an earlier disease progresses rarely develop irAEs; in fact, such patients have not stayed in the study long enough to experience such irAEs. Conversely, patients that stayed in the study for a longer period have a higher risk of developing irAEs. Landmark analysis is key in these studies if a real association is to be found. Overall response and disease control rates are mainly higher in those who develop irAEs due to immune activation. So, this review aims to summarise the evidence from key studies that addressed this important clinical question. © the authors; licensee ecancermedicalscience.Entities:
Keywords: adverse events; anti-CTLA-4; anti-PD-1; anti-PD-L1; correlation; efficacy; immune checkpoint inhibitors; survival
Year: 2021 PMID: 35047065 PMCID: PMC8723746 DOI: 10.3332/ecancer.2021.1314
Source DB: PubMed Journal: Ecancermedicalscience ISSN: 1754-6605
List of approved ICIs.
| International nonproprietary name | Type | Target | FDA or CNMPA indications | Year of approval |
|---|---|---|---|---|
| Ipilimumab | IgG1 mAb | CTLA-4 | RCC, melanoma, lung cancer | FDA-2011 |
| Pembrolizumab | IgGa4 mAb | PD-1 | Melanoma, NSCLC and SCLC, SCCHN, cHL, primary large B-cell lymphoma, UC, GC and breast cancer | FDA-2014 |
| Nivolumab | IgG4 mAb | PD-1 | Metastatic NSCLC, UC, metastatic melanoma, advanced RCC, SCLC, SCCHN, HCC, metastatic CRC and cHL | FDA-2014 |
| Ipilimumab & Nivolumab combination | IgG1 + IgG4mAb | CTLA-4 & PD-1 | Melanoma, RCC, NSCLC and CRC | FDA-2015 |
| Atezolizumab | IgG1 mAb | PD-L1 | NSCLC, UC, breast cancer, melanoma, RCC, CRC and SCCHN | FDA-2016 |
| Avelumab | IgG1 mAb | PD-L1 | Merkel-cell carcinoma, RCC and NSCLC | FDA-2017 |
| Durvalumab | IgG1 mAb | PD-L1 | UC, NSCLC and SCLC | FDA-2017 |
| Cemiplimab | IgG1 mAb | PD-1 | Metastatic cutaneous squamous cell carcinoma and myeloma | FDA-2018 |
| Toripalimab | IgG4 mAb | PD-1 | Locally advanced or metastatic melanoma | CNMPA-2018 |
| Sintilimab | IgG4 mAb | PD-1 | Refractory cHL, HCC and NSCLC | CNMPA-2018 |
| Camrelizumab | IgG4/k mAb | PD-1 | cHL, metastatic HCC, metastatic esophageal cancer and advanced NSCLC | CNMPA-2019 |
| Tislelizumab | IgG4 mAb | PD-1 | Refractory cHL and UC | CNMPA-2019 |
CRC, Colorectal cancer; cHL, Classic Hodgkin lymphoma; HCC, Hepatocellular carcinoma; RCC, Renal cell carcinoma; SCCHN, Squamous cell carcinoma of the head and neck; NSCLC, Non-small cell lung cancer; SCLC, Small cell lung cancer; UC, Urothelial carcinoma; FDA: Food and Drug Administration; CNMPA, Chinese national medical product administration
Figure 1.Immunotherapy-related anatomic based irAEs. Anatomic based ICIs related adverse events.
Studies comparing the association between irAEs and clinical outcomes.
| Study | Cancer type | Sample size | ICI agent | Survival outcomes in patients with and without irAEs (OS, PFS) | RR in patients with versus without irAEs |
|---|---|---|---|---|---|
| Weber | Melanoma | 576 | Nivolumab | PFS (no difference; HR not available) | 48.6% versus 17.8%; |
| Indini | Melanoma | 173 | Nivolumab or pembrolizumab | OS (HR: 0.39; 95% CI: 0.18–0.81; | ORR (HR: 1.95; 95% CI: 0.91–4.15; |
| Baldini | NSCLC | 1959 | Nivolumab | OS: 16.7 months (95% CI: 13.5–19.9) versus 9.4 (95% CI: 8.4–10.4); | RR: 27.2% versus 15.2%; |
| Shankar | NSCLC | 623 | ICI monotherapy or in combination | OS (HR: 0.86; 95% CI: 0.66–1.12; | Not available |
| Grangeon | NSCLC | 270 | Anti-PD-L1 or | OS (HR: 0.29; 95% CI: 0.18–0.46; | 22.9% versus 5.7%; |
| Ricciuti | NSCLC | 195 | Nivolumab | OS (HR: 0.33; 95% CI: 0.23–0.47; | ORR (43.5% versus 10%; |
| Vitale | mRCC | 167 | Nivolumab | OS (20.1 months; HR: 0.38; 95% CI: 0.23–0.63) | ORR (27.3% versus 13.7%; OR: 2.36; 95% CI: 1.03–5.44) |
| Verzoni | RCC | 389 | Nivolumab | OS (HR: 0.57; 95% CI: 0.35–0.93; | Not available |
| Maher | UC | 1,747 | Pembrolizumab or | OS (HR: 0.53; 95% CI: 0.43–0.66) | Not available |
| Morales-Berera | UC | 52 | ICI agents | OS (21.91 versus 6.47 months; | DCR (79% versus 36.3%; |
| Foster | HNC | 114 | Anti-PD therapy | OS (12.5 versus 6.8 months; | ORR (30.6% versus 12.3%; |
| Ando | Advanced GC | 108 | Nivolumab or Pembrolizumab | OS (12.2 months; 95% CI = 3.8–NA) versus (3.5 months (95% CI: 2.9–5.1) | 28.5% versus 3% |
| Masuda | GC | 65 | Nivolumab | OS (HR: 0.17; | Not available |
| Das | Gastrointestinal tumours | 76 | ICI monotherapy or in combination | OS (32.4 versus 8.5 months; | Not available |
| Riudavets | Solid tumours | 178 | Pembrolizumab, nivolumab and atezolizumab | OS (37.3 versus 7.8 months; | Not available |
| Matsuoka | Across various tumours | 280 | Any ICI agent | OS ( | ORR (30.4% versus 12.7%; |
irAEs, Immune-related adverse events; ICI, Immune checkpoint inhibitors; OS, Overall survival; PFS, Progression-free survival; HR, Hazard ratio; CI, Confidence interval; ORR, Overall response rate; DCR, Disease control rate; NA, Not applicable; NSCLC, Non-small cell lung cancer; mRCC, Metastatic renal cell carcinoma; UC, Urothelial carcinoma; HNC, Head and neck cancer