BackgroundWe performed a network meta-analysis of randomized controlled trials (RCTs) to indirectly compare the efficacy of different targeted agents with fulvestrant for patients with hormone-receptor-positive (HR+) and human epidermal growth factor receptor type 2-negative (HER2–) advanced breast cancer (ABC) following progression on prior endocrine therapy.MethodsThe titles/abstracts were searched from the PubMed, EMBASE, and the Cochrane Library databases for RCTs to evaluate the efficacy of palbociclib plus fulvestrant vs alternative targeted therapies plus fulvestrant for postmenopausal HR+/HER2– ABC following progression on prior endocrine therapy. In addition, the primary measured outcome was progression-free survival (PFS) and objective response rate. The surface under the cumulative ranking (SUCRA) value of each treatment was calculated to achieve the best ranking for each treatment.ResultsA total of 11 studies, including 4,178 patients in the network meta-analysis, were included and analyzed. In terms of the pooled hazard ratios (HRs) for PFS, palbociclib plus fulvestrant was superior to other target agents plus fulvestrant (HR=0.62, 95% credible interval [CrI]: 0.40–0.96; HR=0.62, 95% CrI: 0.47–0.96; for pictilisib plus fulvestrant and buparlisib plus fulvestrant, respectively). Ribociclib plus fulvestrant has no difference in abemaciclib plus fulvestrant and palbociclib plus fulvestrant (HR =1.02, 95% CrI =0.72–1.45; HR =1.22, 95% CrI =0.84–1.78). In terms of objective response rate, compared with placebo plus fulvestrant, abemaciclib plus fulvestrant, dovitinib plus fulvestrant, buparlisib plus fulvestrant, and palbociclib plus fulvestrant had a significant difference (odds ratio [OR] =2.84, 95% CrI =1.91– 4.31; OR =3.62, 95% CrI =1.21–12.48; OR =1.80, 95% CrI =1.25–2.60; and OR =2.52, 95% CrI =1.43– 4.72, respectively).ConclusionAccording to the present study, palbociclib plus fulvestrant may be the optimal treatment for HR+/HER2– postmenopausal women with ABC after disease progression following endocrine therapy.

Innate immune mechanisms initiate immune responses via pattern-recognition receptors (PRRs). Cyclic GMP-AMP synthase (cGAS), a member of the PRRs, senses diverse pathogenic or endogenous DNA and activates innate immune signaling pathways, including the expression of stimulator of interferon genes (STING), type I interferon, and other inflammatory cytokines, which, in turn, instructs the adaptive immune response development. This groundbreaking discovery has rapidly advanced research on host defense, cancer biology, and autoimmune disorders. Since cGAS/STING has enormous potential in eliciting an innate immune response, understanding its functional regulation is critical. As the most widespread and efficient regulatory mode of the cGAS-STING pathway, post-translational modifications (PTMs), such as the covalent linkage of functional groups to amino acid chains, are generally considered a regulatory mechanism for protein destruction or renewal. In this review, we discuss cGAS-STING signaling transduction and its mechanism in related diseases and focus on the current different regulatory modalities of PTMs in the control of the cGAS-STING-triggered innate immune and inflammatory responses.

PurposeNumerous HER2-targeted therapy clinical trials have demonstrated efficacy and safety in the first-line treatment of metastatic breast cancer (MBC). However, the direct or indirect comparison of these drugs is unclear. This network meta-analysis can solve this issue to some extent.Materials and methodsPubMed, Embase, and the Cochrane Library were searched for Phase II/III randomized controlled trials (RCTs) on metastatic HER2-positive breast cancer for first-line treatment up to December 16, 2017. Paired meta-analyses were performed to compare the regimens directly with the TP (trastuzumab plus taxane) regimen. Bayesian network meta-analysis was used to synthesize available evidence of direct or indirect comparison.ResultsThe database search identified 1,935 articles, among which 13 articles (10 RCTs) were eligible for the analysis involving 5,177 patients treated with 11 different regimens. The progression-free survival (PFS) in the Bayesian network meta-analysis suggested that the PTP (pertuzumab and trastuzumab plus taxane) regimen had the highest probability to be the preferred treatment (surface under the cumulative ranking [SUCRA]: 0.967) followed by the TPC (carboplatin and trastuzumab plus taxane) regimen (SUCRA: 0.923). The PTP regimen (SUCRA: 0.926) was similarly preferred for overall survival (OS). For objective response rate (ORR), the PTC regimen might be the optimal treatment (SUCRA: 0.935), followed by the PTP regimen.ConclusionOverall, PTP might be the optimal first-line treatment for HER-2-positive MBC to improve the PFS and OS. Meanwhile, TPC might be most effective treatment in terms of the ORR. Regarding safety, the two regimens showed acceptable grade 3 or greater hematologic toxicity and heart failure.

Lung cancer is the leading cause of cancer‐related mortality in men and women globally. Non‐small cell lung cancer (NSCLC) is the most prevalent subtype, accounting for 85–90% of all cancers. Although there have been dramatic advances in therapeutic approaches in recent decades, the recurrence and metastasis rates of NSCLC are as high as 30–40% with the 5‐year overall survival rate being less than 15%. Therefore, it is necessary to explore the pathogenesis of NSCLC at the genetic level and identify prognostic biomarkers and novel therapeutic targets. Here, we aimed to identify mutated genes with high frequencies in Chinese NSCLC patients using next‐generation sequencing and to investigate their relationships with the tumor mutation burden (TMB) and tumor immune microenvironment. A total of 110 NSCLC patients were enrolled to profile the genetic variations. Mutations in EGFR (62.37%), TP53 (61.29%), LRP1B (13.98%), FAT1 (12.90%), KMT2D (11.83%), CREBBP (10.75%), and RB1 (9.68%) were most prevalent. TP53, LRP1B, KMT2D, and CREBBP mutations were all significantly associated with high TMB (P < 0.05 or P < 0.01). The infiltrating levels of immune cells and immune molecules were enriched significantly in the LRP1B mutation group. LRP1B mutations significantly correlated with stimulating and inhibitory immunoregulators. Gene set enrichment analysis revealed that cell cycle, the Notch signaling pathway, the insulin signaling pathway, and the mTOR signaling pathway are related to LRP1B mutations in the immune system. LRP1B mutations may be of clinical importance in enhancing the anti‐tumor immune response and may be a promising biomarker for predicting immunotherapy responsiveness.

The recent application of targeted immunotherapy has greatly improved the clinical outcomes of patients with lung adenocarcinoma (LUAD), but drug resistance continues to emerge, and to evaluate and to improve patient prognosis are arduous. The diagnostic and prognostic value of N6-methyladenosine (M6A) in LUAD has attracted increasing attention. We systematically studied correlations among important M6A methylation regulators, tumor mutational burden (TMB), and immune infiltration in clinical and sequencing data from the LUAD cohort of the cancer genome map (TCGA). The molecular subtype clusters 1 and 2 were identified by the consensus clustering of 16 M6A regulatory factors. Clinical prognosis, M6A regulatory factor expression, TMB, pathway enrichment, and immune cell infiltration significantly differed between clusters 1 and 2. Compared with other clinical traits, a prognostic risk score system constructed using the M6A regulatory factors HNRNPA2B1 and HNRNPC can serve as an independent prognostic method for LUAD, with higher predictive sensitivity and specificity. Risk scores were significantly higher for cluster 2 than 1, which was consistent with the trend towards a better prognosis in cluster 1. Overall, our findings revealed an important role of M6A methylation regulators in LUAD, and our risk scoring system involving these regulators might help to screen groups at high risk for LUAD and provide important theoretical bioinformatic support for evaluating the prognosis of such patients.