scholarly journals P1.02-068 The Impact of TP53 Overexpression on EMT and the Prognosis in Lung Adenocarcinoma Harboring Driver Mutations

2017 ◽  
Vol 12 (1) ◽  
pp. S529-S530
Author(s):  
Shigeto Nishikawa ◽  
Toshi Menju ◽  
Terumasa Soawa ◽  
Koji Takahashi ◽  
Ryo Miyata ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Driver Mutations ◽  
The Impact

scholarly journals Clonal approaches to understanding the impact of mutations on hematologic disease development

Blood ◽  
2019 ◽  
Vol 133 (13) ◽  
pp. 1436-1445 ◽  
Author(s):  
Jyoti Nangalia ◽  
Emily Mitchell ◽  
Anthony R. Green
Keyword(s):  
Somatic Mutations ◽  
Clonal Selection ◽  
Single Cells ◽  
Driver Mutations ◽  
Great Promise ◽  
Tumor Evolution ◽  
Disease Development ◽  
Hematopoietic Tissue ◽  
The Impact

Abstract Interrogation of hematopoietic tissue at the clonal level has a rich history spanning over 50 years, and has provided critical insights into both normal and malignant hematopoiesis. Characterization of chromosomes identified some of the first genetic links to cancer with the discovery of chromosomal translocations in association with many hematological neoplasms. The unique accessibility of hematopoietic tissue and the ability to clonally expand hematopoietic progenitors in vitro has provided fundamental insights into the cellular hierarchy of normal hematopoiesis, as well as the functional impact of driver mutations in disease. Transplantation assays in murine models have enabled cellular assessment of the functional consequences of somatic mutations in vivo. Most recently, next-generation sequencing–based assays have shown great promise in allowing multi-“omic” characterization of single cells. Here, we review how clonal approaches have advanced our understanding of disease development, focusing on the acquisition of somatic mutations, clonal selection, driver mutation cooperation, and tumor evolution.

Multigene Combined Detection by RT-qPCR Using Cytological Specimens

2021 ◽  
pp. 1-10
Author(s):  
Yang Ma ◽  
Jingxia Zhao ◽  
Yun Du ◽  
Rui Wang ◽  
Xiaokun Ji ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Smoking Status ◽  
Single Gene ◽  
Rna Extraction ◽  
Pcr Amplification ◽  
Driver Mutations ◽  
Amplification Refractory Mutation System ◽  
Driver Genes ◽  
Mutation Status ◽  
Pik3ca Mutations

<b><i>Objective:</i></b> The aim of the study was to investigate the mutation status of multiple driver genes by RT-qPCR and their significance in advanced lung adenocarcinoma using cytological specimens. <b><i>Materials and Methods:</i></b> 155 cytological specimens that had been diagnosed with lung adenocarcinoma in the Fourth Hospital of Hebei Medical University were selected from April to November 2019. The cytological specimens included serous cavity effusion and fine-needle aspiration biopsies. Among cytological specimens, 108 cases were processed by using the cell block method (CBM), and 47 cases were processed by the disposable membrane cell collector method (MCM) before DNA/RNA extraction. Ten drive genes of EGFR, ALK, ROS1, BRAF, KRAS, NRAS, HER2, RET, PIK3CA, and MET were combined detected at one step by the amplification refractory mutation system and ABI 7500 RT-qPCR. <b><i>Results:</i></b> The purity of RNA (<i>p</i> = 0.005) and DNA (<i>p</i> = 0.001) extracted by using the MCM was both significantly higher than that extracted by using the CBM. Forty-seven cases of fresh cell specimens processed by the MCM all succeeded in multigene detections, while of 108 specimens processed by the CBM, 6 cases failed in multigene detections. Among 149 specimens, single-gene mutation rates of EGFR, ALK, ROS1, RET, HER2, MET, KRAS, NRAS, BRAF, and PIK3CA mutations were 57.71%, 6.04%, 3.36%, 2.68%, 2.01%, 2.01%, 1.34%, 0.67%, 0% and 0% respectively, and 6 cases including 2 coexistence mutations. We found that mutation status was correlated with gender (<i>p</i> = 0.047), but not correlated with age (<i>p</i> = 0.141) and smoking status (<i>p</i> = 0.083). We found that the EGFR mutation status was correlated with gender (<i>p</i> = 0.003), age (<i>p</i> = 0.015) and smoking habits (<i>p</i> = 0.007), and ALK mutation status was correlated with age (<i>p</i> = 0.002). <b><i>Conclusion:</i></b> Compared with the CBM, the MCM can improve the efficiency of DNA/RNA extraction and PCR amplification by removing impurities and enriching tumor cells. And we speculate that the successful detection rate of fresh cytological specimens was higher than that of paraffin-embedded specimens. EGFR, ALK, and ROS1 mutations were the main driver mutations in patients with advanced lung adenocarcinoma. We speculate that EGFR and ALK are more prone to concomitant mutations, respectively. Targeted therapies for patients with coexisting mutations need further study.

scholarly journals Mutational landscape of EGFR-, MYC-, and Kras-driven genetically engineered mouse models of lung adenocarcinoma

2016 ◽  
Vol 113 (42) ◽  
pp. E6409-E6417 ◽  
Author(s):  
David G. McFadden ◽  
Katerina Politi ◽  
Arjun Bhutkar ◽  
Frances K. Chen ◽  
Xiaoling Song ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Mouse Models ◽  
Cancer Progression ◽  
Large Scale ◽  
Human Cancer ◽  
Genetically Engineered ◽  
Model Systems ◽  
Driver Mutations ◽  
Genetic Profile ◽  
Genetically Engineered Mouse Models

Genetically engineered mouse models (GEMMs) of cancer are increasingly being used to assess putative driver mutations identified by large-scale sequencing of human cancer genomes. To accurately interpret experiments that introduce additional mutations, an understanding of the somatic genetic profile and evolution of GEMM tumors is necessary. Here, we performed whole-exome sequencing of tumors from three GEMMs of lung adenocarcinoma driven by mutant epidermal growth factor receptor (EGFR), mutant Kirsten rat sarcoma viral oncogene homolog (Kras), or overexpression of MYC proto-oncogene. Tumors from EGFR- and Kras-driven models exhibited, respectively, 0.02 and 0.07 nonsynonymous mutations per megabase, a dramatically lower average mutational frequency than observed in human lung adenocarcinomas. Tumors from models driven by strong cancer drivers (mutant EGFR and Kras) harbored few mutations in known cancer genes, whereas tumors driven by MYC, a weaker initiating oncogene in the murine lung, acquired recurrent clonal oncogenic Kras mutations. In addition, although EGFR- and Kras-driven models both exhibited recurrent whole-chromosome DNA copy number alterations, the specific chromosomes altered by gain or loss were different in each model. These data demonstrate that GEMM tumors exhibit relatively simple somatic genotypes compared with human cancers of a similar type, making these autochthonous model systems useful for additive engineering approaches to assess the potential of novel mutations on tumorigenesis, cancer progression, and drug sensitivity.

scholarly journals Imaging Characteristics of Driver Mutations in EGFR, KRAS, and ALK among Treatment-Naïve Patients with Advanced Lung Adenocarcinoma

PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0161081 ◽  
Author(s):  
Jangchul Park ◽  
Yoshihisa Kobayashi ◽  
Kevin Y. Urayama ◽  
Hidekazu Yamaura ◽  
Yasushi Yatabe ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Driver Mutations ◽  
Imaging Characteristics ◽  
Treatment Naïve

scholarly journals Paired analysis of tumor mutation burden for lung adenocarcinoma and associated idiopathic pulmonary fibrosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasuto Yoneshima ◽  
Eiji Iwama ◽  
Shingo Matsumoto ◽  
Taichi Matsubara ◽  
Testuzo Tagawa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Lung Adenocarcinoma ◽  
Genetic Alterations ◽  
Driver Mutations ◽  
Somatic Variant ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
And Oxidative Stress

AbstractGenetic alterations underlying the development of lung cancer in individuals with idiopathic pulmonary fibrosis (IPF) have remained unclear. To explore whether genetic alterations in IPF tissue contribute to the development of IPF-associated lung cancer, we here evaluated tumor mutation burden (TMB) and somatic variants in 14 paired IPF and tumor samples from patients with IPF-associated lung adenocarcinoma. We also determined TMB for 22 samples of lung adenocarcinoma from patients without IPF. TMB for IPF-associated lung adenocarcinoma was significantly higher than that for matched IPF tissue (median of 2.94 vs. 1.26 mutations/Mb, P = 0.002). Three and 102 somatic variants were detected in IPF and matched lung adenocarcinoma samples, respectively, with only one pair of specimens sharing one somatic variant. TMB for IPF-associated lung adenocarcinoma was similar to that for lung adenocarcinoma samples with driver mutations (median of 2.94 vs. 2.51 mutations/Mb) and lower than that for lung adenocarcinoma samples without known driver mutations (median of 2.94 vs. 5.03 mutations/Mb, P = 0.130) from patients without IPF. Our findings suggest that not only the accumulation of somatic mutations but other factors such as inflammation and oxidative stress might contribute to the development and progression of lung cancer in patients with IPF.

NLRP3 is a Novel Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma and Skin Cutaneous Melanoma

2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Immune Cells ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Potential Biomarker ◽  
The Impact ◽  
Nlrp3 Expression

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.

The predictive value of MAP2K1/2 mutations for efficiency of immunotherapy in melanoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21587-e21587
Author(s):  
Ting Ye ◽  
Jieying Zhang ◽  
Xinyi Liu ◽  
Mengmei Yang ◽  
Yuhan Zhou ◽  
...  
Keyword(s):  
Overall Survival ◽  
Predictive Value ◽  
Cox Regression ◽  
Treatment Options ◽  
Objective Response ◽  
Progression Free Survival ◽  
Driver Mutations ◽  
Cox Regression Analysis ◽  
Melanoma Patients ◽  
The Impact

e21587 Background: Immunotherapies targeting immune checkpoint receptors have become the cornerstone of systemic treatment options for malignant melanoma. The response to these immunotherapies may correlate with driver mutations. MAP2K1/2 genes are mutated in approximately 10% of melanomas, however, the impact of MAP2K1/2 gene alterations on the efficiency of immunotherapy has not been clarified. Methods: Six metastatic melanoma clinical cohorts treated with ICIs were included to investigate the association between clinical efficacy of immunotherapy and MAP2K1/2 mutations. Survival analyses were conducted in cohorts receiving two kinds of ICB agents, namely anti-CTLA-4 or anti-PD-1. RNA expression profiling from these cohorts and from the TCGA melanoma cohort were used to explore the potential mechanism related to immune activation. Results: In an independent anti-CTLA-4-treated cohort (n = 110), we found that MAP2K1/2 mutations are predictive of high objective response rate (17.6% vs 1.3%, p = 0.0185) and long progression-free survival [median OS, 49.2 months vs 8.3 months; hazard ratio (HR) = 0.37; 95% CI, 0.15–0.91; p = 0.0307] and overall survival (median PFS, 19.4 months vs 2.8 months; HR = 0.2; 95% CI, 0.05–0.83; p = 0.0262). This predictive value was further validated in a pooled anti-CTLA-4-treated cohort (n = 235) in terms of overall survival (median OS, 49.3 months vs 22.0 months; HR = 0.44; 95% CI, 0.22–0.91; p = 0.0255). However, no correlation between MAP2K1/2 mutations and overall survival was observed in the anti-PD-1-treated cohort (n = 285). Subgroup Cox regression analysis indicated that MAP2K-mutated patients receive less benefit from the anti-PD-1 monotherapy than from the anti-CTLA-4 treatment (median OS, 27.0 months vs 49.3 months; HR = 3.26; 95% CI, 1.18–9.02; p = 0.0225), which was contrary to the result obtained for the total population. Furthermore, transcriptome profiling analysis revealed that MAP2K-mutated tumors are enriched in CD8+ T cells, B cells, and neutrophil cells and also express high levels of CD33 and IL10, which might be the underlying mechanism for melanoma patients with MAP2K1/2-mutated benefit more from anti-CTLA-4 treatment. Conclusions: We identified mutations in MAP2K1/2 genes as the independent predictive factors for anti-CTLA-4 therapy in melanoma patients and found that anti-CTLA-4 treatment in patient harbouring MAP2K1/2 mutations might be more effective than the anti-PD-1 therapy.

Primary signet ring cell histology does not portend worse survival for early stage lung cancer following lobectomy

2021 ◽  
pp. 021849232110459
Author(s):  
Terrance Peng ◽  
Anita Yau ◽  
Li Ding ◽  
Elizabeth A. David ◽  
Sean C. Wightman ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Early Stage ◽  
Signet Ring Cell ◽  
Rank Test ◽  
Poor Prognostic Factor ◽  
Risk Of Death ◽  
Increased Risk ◽  
Signet Ring ◽  
Ring Cell ◽  
The Impact

Introduction Signet ring cell (SRC) histology is considered a poor prognostic factor in various cancers. However, primary SRC lung adenocarcinoma is rare and poorly understood. Methods The National Cancer Database was queried to identify treatment-naïve patients who received lobectomy for primary SRC or non-SRC pT1-2N0 lung adenocarcinoma <4 cm within four months of diagnosis. SRC lung adenocarcinoma was defined by ICD-O-3 code 8490, while non-SRC lung adenocarcinoma was defined by ICD-O-3 codes 8140, 8141, 8143, 8147, 8255, 8260, 8310, 8481, 8560, and 8570–8574. The Kaplan-Meier curve and log-rank test was used to compare five-year OS between SRC versus non-SRC lung adenocarcinoma cohorts. The impact of SRC histology on risk of death was assessed using the Cox proportional hazards regression model. Results 48,399 patients were included in this study: 62 with primary SRC lung adenocarcinoma and 48,337 with non-SRC lung adenocarcinoma. The mean age of the overall cohort was 67.0 ± 9.6 years. Five-year OS following lobectomy did not differ significantly between SRC lung adenocarcinoma and non-SRC lung adenocarcinoma cohorts (SRC 73.9% vs. non-SRC 69.3%, p = 0.64). SRC histology did not significantly impact risk of death within five years after lobectomy (HR 0.89, p = 0.66). Conclusions Following lobectomy for pT1-2N0 tumors <4 cm, patients with primary SRC lung adenocarcinoma do not experience worse five-year OS or increased risk of death within five years relative to those with non-SRC lung adenocarcinoma. Additional study, including exploration of emerging molecular profiling data, may serve to better define optimal treatment for this histopathologic group of lung adenocarcinomas.

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