Sel-CapTM, a digital enrichment next-generation sequencing (NGS)-based cancer panel, was assessed for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma for non-small cell lung cancer (NSCLC), and for application in monitoring EGFR resistance mutation T790M in plasma following first-line EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment. Using Sel-Cap, we genotyped plasma samples collected from 185 patients for mutations Ex19del, L858R, and T790M, and compared results to those of PNAclampTM tumor biopsy (reference method, a peptide nucleic acid-mediated polymerase chain reaction clamping) and two other NGS liquid biopsies. Over two-thirds of activating mutations (Ex19del and L858R), previously confirmed by PNAclamp, were detected by Sel-Cap, which is 4–5 times more sensitive than NGS liquid biopsy. Sel-Cap showed particularly high sensitivity for T790M (88%) and for early-stage plasma samples. The relationship between initial T790M detection in plasma and progression-free survival (PFS) following first-line EGFR-TKIs was evaluated in 34 patients. Patients with T790M detected at treatment initiation (±3 months) had significantly shorter PFS than patients where T790M was first detected >3 months post treatment initiation (median PFS: 5.9 vs. 26.5 months; p < 0.0001). However, time from T790M detection to disease progression was not significantly different between the two groups (median around 5 months). In conclusion, Sel-Cap is a highly sensitive platform for EGFR mutations in plasma, and the timing of the first appearance of T790M in plasma, determined via highly sensitive liquid biopsies, may be useful for prediction of disease progression of NSCLC, around 5 months in advance.
Cirrhosis can occur with the development of portal vein thrombosis (PVT). PVT may aggravate portal hypertension, and it can lead to hepatic decompensation. The international guideline recommends for anticoagulation treatment to be maintained for at least 3 months in all patients with acute PVT. Low-molecular-weight-heparin and changing to warfarin is the usual anticoagulation treatment. However, warfarin therapy is problematic due to a narrow therapeutic window and the requirement for frequent dose adjustment, which has prompted the development of novel oral anticoagulants for overcoming these problems. We report a 63-year-old female who experienced complete resolution of recurrent acute PVT in liver cirrhosis after treatment with rivaroxaban.
Abstract Background: Small-cell lung cancer (SCLC) is a highly proliferative, rapidly growing tumor with a poor prognosis, even in cases of limited disease (LD). Timely and accurate high-intensity therapy is necessary. For concurrent chemoradiotherapy (CCRT), etoposide/platinum (EP)-based regimens are recommended, although irinotecan/platinum (IP)-based regimens are also effective with radiotherapy. This large-scale, retrospective, nationwide cohort study aimed to analyze the efficacy of CCRT in patients with LD-SCLC. Methods: Population data registered between January 2008 and December 2018 was extracted from the Health Insurance Review and Assessment Service of Korea database. Survival outcomes of 4,446 LD-SCLC patients who received CCRT were analyzed. Results: Patients who received EP-CCRT (n = 4,187) showed better progression-free survival (PFS: 11.2 months) and overall survival (OS: 22.2 months) than those who received IP-CCRT (n = 259; PFS: 9.6 months, P = 0.0477; OS: 16.4 months, P <0.0001). When CCRT failed, dual-agent chemotherapy (n = 925; OS: 9.1 months) provided a better survival benefit than single-agent chemotherapy (n = 815; OS: 7.5 months). IP-based chemotherapy resulted in better OS (9.6 months) than EP-based chemotherapy (7.1 months, P = 0.017) in platinum-resistant relapsed patients; the opposite was observed for platinum-sensitive relapsed patients (OS: EP, 17.2 months; IP, 6.6 months; P <0.0001). Poisson regression analysis demonstrated that age, EP-CCRT, and hypercholesterolemia retained significant associations with OS after adjustment for all variables. Conclusion: In the Korean population, the effects of EP-CCRT on OS and PFS are significantly more favorable than those of IP-CCRT.
Clinicians have recognized the similarities and differences between the two subtypes of common epidermal growth factor receptor (EGFR) mutations, but actual treatment strategies have not yet changed. The L858R mutation can be understood by considering the pharmacological conformational plasticity of the receptor protein and the presence of other co-occurring mutations, whether subtypes of EGFR or non-EGFR mutations and differences in downstream signaling pathways. As long as we know that molecular differences lead to biological differences, it is a challenge for all of us that our treatment strategies must change.
Afatinib is an oral tyrosine kinase inhibitor (TKI) that inhibit Endothelial Growth Factor Receptor (EGFR), Human Epidermal Growth Factor Receptor 2 (HER2), and HER4. The common side effects of EGFR TKI are rash, acne, diarrhea, stomatitis, pruritus, nausea, and loss of appetite. Drug induced pneumonitis is the less common adverse effects of EGFR TKI. Afatinib, 2nd generation EGFR TKI is anticipated to overcome drug resistance from 1st generation EGFR TKI according to preclinical study, and several studies are being conducted to compare clinical efficacy between 1st and 2nd EGFR TKI. Several cases of rug induced acute fatal pneumonitis were reported after use of erlotinib or gefitinib. However, a case of acute fatal pneumonitis associated with afatinib was note reported except drug induced pneumonitis in other clinical study. Here, we present a cases of acute severe pneumonitis related with afatinib in metastatic lung adenocarcinoma with literature review. Keywords: Afatinib; Acute Fatal Pneumonitis; Metastatic Lung Adenocarcinoma
MicroRNA transcriptomes from fresh tumors and the adjacent normal tissues were profiled in 10 Korean patients diagnosed with lung adenocarcinoma using a next-generation sequencing (NGS) technique called miRNA-seq. The sequencing quality was assessed using FastQC, and low-quality or adapter-contaminated portions of the reads were removed using Trim Galore. Quality-assured reads were analyzed using miRDeep2 and Bowtie. The abundance of known miRNAs was estimated using the reads per million (RPM) normalization method. Subsequently, using DESeq2 and Wx, we identified differentially expressed miRNAs and potential miRNA biomarkers for lung adenocarcinoma tissues compared to adjacent normal tissues, respectively. We defined reliable miRNA biomarkers for lung adenocarcinoma as those detected by both methods. The miRNA-seq data are available in the Gene Expression Omnibus (GEO) database under accession number GSE196633, and all processed data can be accessed via the Mendeley data website.
Abstract Background: Immune checkpoint blockades (ICBs) are characterized by a durable clinical response and better tolerability in patients with a variety of advanced solid tumors. However, we not infrequently encounter patients with hyperprogressive disease (HPD) exhibiting paradoxically accelerated tumor growth with poor clinical outcomes. This study aimed to investigate implications of clinical factors and immune cell composition on different tumor responses to immunotherapy in patients with non-small cell lung cancer (NSCLC). Methods: This study evaluated 231 NSCLC patients receiving ICBs between January 2014 and May 2018. HPD was defined as a >2-fold tumor growth kinetics ratio during ICB therapy and time-to-treatment failure of ≤ 2 months. We analyzed clinical data, imaging studies, periodic serologic indexes, and immune cell compositions in tumors and stromata using multiplex immunohistochemistry. Results: Of 231 NSCLC patients, PR/CR and SD were observed in 50 (21.6%) and 79 (34.2%) patients, respectively and 26 (11.3%) patients met the criteria for HPD. Median overall survival in poor response groups (HPD and non-HPD PD) was extremely shorter than region disease-controlled group (SD and PR/CR) (5.5 and 6.1 months vs. 16.2 and 18.3 months, respectively, P = 0.000). In multivariate analysis, HPD were significantly associated with heavy smoker (p=0.0072), PD-L1 expression ≤1% (0.0355), and number of metastatic site ≥3 (0.0297). Among the serologic indexes including NLR, PLR, CAR, and LDH, only CAR had constantly significant correlations with HPD at the beginning of prior treatment, immunotherapy, and at the 1 st tumor assessment. The number of CD4+ effector T cells and CD8+ cytotoxic T cells, and CD8+/PD-1+ tumor-infiltrating lymphocytes (TIL) tended to be smaller, especially in stromata of HPD group. More M2-type macrophages expressing CD14, CD68 and CD163 in the stromal area and markedly fewer CD56+ NK cells in the intratumoral area were observed in HPD group. Conclusions: Our study suggests that not only clinical factors including heavy smoker, very low PD-L1 expression, multiple metastases, and CAR index, but also fewer CD8+/PD-1+ TIL and more M2 macrophages in the tumor microenvironment are significantly associated with the occurrence of HPD in the patients with advanced/metastatic NSCLC receiving immunotherapy.
Abstract Accurate prediction of non-small cell lung cancer (NSCLC) prognosis after surgery remains challenging. The Cox proportional hazard (PH) model is widely used, however, there are some limitations associated with it. In this study, we developed novel neural network models called binned time survival analysis (DeepBTS) models using 30 clinico-pathological features of surgically resected NSCLC patients (training cohort, n = 1,022; external validation cohort, n = 298). We employed the root-mean-square error (in the supervised learning model, s- DeepBTS) or negative log-likelihood (in the semi-unsupervised learning model, su-DeepBTS) as the loss function. The su-DeepBTS algorithm achieved better performance (C-index = 0.7306; AUC = 0.7677) than the other models (Cox PH: C-index = 0.7048 and AUC = 0.7390; s-DeepBTS: C-index = 0.7126 and AUC = 0.7420). The top 14 features were selected using su-DeepBTS model as a selector and could distinguish the low- and high-risk groups in the training cohort ( p = 1.86 × 10 −11 ) and validation cohort ( p = 1.04 × 10 −10 ). When trained with the optimal feature set for each model, the su-DeepBTS model could predict the prognoses of NSCLC better than the traditional model, especially in stage I patients. Follow-up studies using combined radiological, pathological imaging, and genomic data to enhance the performance of our model are ongoing.
Abstract The role of β-catenin and Dickkopf-1 (DKK1) is dependent on the specific immunobiology of T cell inflammation in biliary tract cancer (BTC). We aimed to analyze the role of DKK1 or β-catenin as a prognostic factor in BTC, and determine the clinical associations of ß-catenin and DKK1 with CD8 + tumor-infiltrating lymphocytes (TIL). We used data from The Cancer Genome Atlas Research Network and the clinicopathological data of 145 patients with BTC who had undergone primary radical resection between 2006 and 2016. CD8 + TIL expression was a significant predictor of favorable overall survival (OS) and relapse-free survival (RFS) (median OS, 34.9 months in high-TIL, 16.7 months in low-TIL, P < 0.0001 respectively; median RFS, 27.1 months in high-TIL, 10.0 months in low-TIL, P < 0.0001 respectively). In the high-CD8 + TIL BTC group, the tumor expression of β-catenin and DKK1 had a significant negative impact on either OS or RFS. In the low-TIL BTC group, there were no differences according to ß-catenin and DKK1 expression. Cox regression multivariate analysis demonstrated that CD8 + TIL and β-catenin retained significant association with OS. Among patients with resected BTC, the β-catenin and DKK1 protein and high CD8 + TIL levels were associated with poor and good clinical outcomes, respectively.
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