USH2A mutation and specific driver mutation subtypes are associated with clinical efficacy of immune checkpoint inhibitors in lung cancer / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

This study aimed to identify subtypes of genomic variants associated with the efficacy of immune checkpoint inhibitors (ICIs) by conducting systematic literature search in electronic databases up to May 31, 2021. The main outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and durable clinical benefit (DCB) were correlated with tumor genomic features. A total of 1546 lung cancer patients with available genomic variation data were included from 14 studies. The Kirsten rat sarcoma viral oncogene homolog G12C (KRASG12C) mutation combined with tumor protein P53 (TP53) mutation revealed the promising efficacy of ICI therapy in these patients. Furthermore, patients with epidermal growth factor receptor (EGFR) classical activating mutations (including EGFRL858R and EGFRΔ19) exhibited worse outcomes to ICIs in OS (adjusted hazard ratio (HR), 1.40; 95% confidence interval (CI), 1.01‍‒‍1.95; P=0.0411) and PFS (adjusted HR, 1.98; 95% CI, 1.49‍‒‍2.63; P<0.0001), while classical activating mutations with EGFRT790M showed no difference compared to classical activating mutations without EGFRT790M in OS (adjusted HR, 0.96; 95% CI, 0.48‍‒‍1.94; P=0.9157) or PFS (adjusted HR, 0.72; 95% CI, 0.39‍‒‍1.35; P=0.3050). Of note, for patients harboring the Usher syndrome type-2A(USH2A) missense mutation, correspondingly better outcomes were observed in OS (adjusted HR, 0.52; 95% CI, 0.32‍‒‍0.82; P=0.0077), PFS (adjusted HR, 0.51; 95% CI, 0.38‍‒‍0.69; P<0.0001), DCB (adjusted odds ratio (OR), 4.74; 95% CI, 2.75‍‒‍8.17; P<0.0001), and ORR (adjusted OR, 3.45; 95% CI, 1.88‍‒‍6.33; P<0.0001). Our findings indicated that, USH2A missense mutations and the KRASG12Cmutation combined with TP53 mutation were associated with better efficacy and survival outcomes, but EGFR classical mutations irrespective of combination with EGFRT790M showed the opposite role in the ICI therapy among lung cancer patients. Our findings might guide the selection of precise targets for effective immunotherapy in the clinic.

Impact of antitumor regimens on the outcomes of cancer patients with COVID-19: a pooled analysis / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Since the outbreak of coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) discovered in December 2019, the disease has emerged as a global pandemic (Shi et al., 2020; World Health Organization, 2020). Several studies have shown a higher incidence of COVID-19, as well as related poor outcomes in patients with malignancies as compared with those without them (Liang et al., 2020; Tian et al., 2020). The impact of cancer on COVID-19 may be attri‑buted to the use of antitumor treatments that may disturb the host response to SARS-CoV-2 infection (Wang et al., 2020), while the current studies on this topic have drawn controversial conclusions. Some implied that anticancer treatments might elevate the risk of death (García-Suárez et al., 2020; Liu et al., 2020). On the contrary, others pointed out that this association is not significant (Brar et al., 2020; Lee et al., 2020a). Although previous systematic reviews have investigated this important issue (Wang and Huang, 2020), the heterogeneity of findings is obvious and the general conclusion has remained unclear. Considering this ambiguity, it is difficult for clinicians to make therapeutic decisions when facing patients with both cancer and COVID-19; therefore, a high-quality and accurate evaluation of the impact of anticancer treatments on COVID-19 patients is necessary. Accordingly, we conducted a pooled analysis with the original data of each patient for the first time to provide a comprehensive perspective into the association between anticancer regimens and the outcomes of cancer patients with COVID-19.