Patho-genomic feature of PI3K / AKT / mTOR pathway mutations in Chinese patients with non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21049-e21049
Author(s):  
Weiwei Li ◽  
Yuan Qiu ◽  
Hanzhang Chen ◽  
Haihong Yang ◽  
Qiuhua Deng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Genetic Alterations ◽  
Small Cell ◽  
Mtor Pathway ◽  
Chinese Patients ◽  
Genomic Feature ◽  
Loss Of Function ◽  
Small Cell Lung

e21049 Background: Inhibition of PI3K/AKT/mTOR pathway has emerged as a promising anticancer strategy. Measuring genetic alterations in PI3K/AKT/mTOR pathway are critical for clinical decision making for patients with lung cancer. This study aims to analyze PI3K/AKT/mTOR pathway-related gene mutations in non-small cell lung cancer (NSCLC) in a consecutive cohort. Methods: 536 surgically resected tumor tissues were collected. Target region capture sequencing for 508 cancer-related genes was conducted on MGI-seq 2000 platform. Results: PI3K/AKT/mTOR pathway genes were mutated in 120 samples (22.4%). Female or older patients displayed higher mutation incidence of PI3K/AKT/mTOR pathway (P = 0.06 for female, P = 0.05 for patients ≥60 y). In NSCLC samples, mutations mainly occurred in NF1/2(18/499), PTEN (7/499), MTOR (4/499), TSC1/2(18/499), PIK3CA (26/499), PDK1 (2/499), AKT1/2/3 (5/499) and KRAS (49/499) genes. Genetic alterations of AKT2 (p = 0.003), mTOR (P = 0.03), PTEN (P = 0.005) and PIK3CA (P < 0.001) are preferred to occur in squamous NSCLC. PIK3CA variants (p.E542K, p.E545K, p.Q546K) were more enriched in non-squamous NSCLC, while amplification of PIK3CA was more prevalent in squamous NSCLC (P = 0.038). Histologically, TSC1/2 mutations were more correlate with micro-invasion subtype in non-squamous NSCLC (P = 0.002). Meanwhile, PIK3CA alterations, especially, amplification occurred more often in keratinizing squamous NSCLC (P < 0.001). In addition, four patients with biallelic NF1 loss of function mutations were exclusively found in non-squamous NSCLC without co-occurrence of mutation in known driver genes like EGFR or TP53, which indicated biallelic loss of function of NF1 might be sufficient to drive oncogenesis of non-squamous NSCLC. Conclusions: PI3K/AKT/mTOR pathway alterations present a heterogenous distribution across various types of lung malignancies especially in NSCLC. As more small molecule inhibitors developed to target PI3K/AKT/mTOR pathway, this study might shed light on further clinical investigation of these lately developed therapeutic approaches. [Table: see text]

scholarly journals Future Options of Molecular-Targeted Therapy in Small Cell Lung Cancer

Cancers ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 690 ◽  
Author(s):  
Arik Bernard Schulze ◽  
Georg Evers ◽  
Andrea Kerkhoff ◽  
Michael Mohr ◽  
Christoph Schliemann ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Genetic Alterations ◽  
Small Cell ◽  
Molecular Pathways ◽  
Loss Of Function ◽  
Small Cell Lung ◽  
Therapeutic Concept ◽  
Platinum Based Chemotherapy

Lung cancer is the leading cause of cancer-related deaths worldwide. With a focus on histology, there are two major subtypes: Non-small cell lung cancer (NSCLC) (the more frequent subtype), and small cell lung cancer (SCLC) (the more aggressive one). Even though SCLC, in general, is a chemosensitive malignancy, relapses following induction therapy are frequent. The standard of care treatment of SCLC consists of platinum-based chemotherapy in combination with etoposide that is subsequently enhanced by PD-L1-inhibiting atezolizumab in the extensive-stage disease, as the addition of immune-checkpoint inhibition yielded improved overall survival. Although there are promising molecular pathways with potential therapeutic impacts, targeted therapies are still not an integral part of routine treatment. Against this background, we evaluated current literature for potential new molecular candidates such as surface markers (e.g., DLL3, TROP-2 or CD56), apoptotic factors (e.g., BCL-2, BET), genetic alterations (e.g., CREBBP, NOTCH or PTEN) or vascular markers (e.g., VEGF, FGFR1 or CD13). Apart from these factors, the application of so-called ‘poly-(ADP)-ribose polymerases’ (PARP) inhibitors can influence tumor repair mechanisms and thus offer new perspectives for future treatment. Another promising therapeutic concept is the inhibition of ‘enhancer of zeste homolog 2’ (EZH2) in the loss of function of tumor suppressors or amplification of (proto-) oncogenes. Considering the poor prognosis of SCLC patients, new molecular pathways require further investigation to augment our therapeutic armamentarium in the future.

Relationship between loss-of-function mutation of the stromal antigen 2 gene and treatment in non-small cell lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20509-e20509
Author(s):  
Minglei Zhuo ◽  
Xin Liu ◽  
Rongrong Chen ◽  
Xiong Xu ◽  
Bin Ni
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Systemic Treatment ◽  
Genetic Alterations ◽  
Small Cell ◽  
Age At Diagnosis ◽  
Loss Of Function ◽  
Small Cell Lung ◽  
The Impact

e20509 Background: The protein encoded by Stromal Antigen 2 ( STAG2) gene is a subunit of the cohesin complex, which regulates the separation of sister chromatids during cell division. Loss-of-function (LOF) mutations of STAG2 gene are commonly detected in different tumors including non-small-cell lung cancer. However, there is no relevant research on the impact of STAG2 alterations on lung cancer treatment. Here we explored the correlation between the LOF of STAG2 and clinical features, concomitant genetic alterations and treatment in NSCLC pts. Methods: A total of 2882 NSCLC pts were enrolled. All the tissue samples were detected by DNA based next generation sequencing (NGS) with a 1021 gene panel. Clinical information was obtained synchronously from physicians and surgeons. According to whether LOF of STAG2 is detected, pts were divided into LOF subgroup and wild type (WT) group. Results: All pts enrolled are Chinese, and median age at diagnosis of them is 63±11.21. Compared to the WT subgroup, a higher average TMB was observed in the LOF group (12.64muts/Mb vs. 6.66mut/Mb, P＜0.05). Between the LOF group and the WT group, there were no significantly difference in all clinical baseline characteristics including age at diagnosis, gender, tumor stage and pathological type. At the time of sample collection, there was no significant difference between the two groups of pts whether they had received systemic treatment (chemotherapy, targeted therapy or immunotherapy) and systemic treatment, and the number of systemic treatment lines received. Neither significant differences in driver gene alteration and other accompanying mutations were observed in the two groups. Conclusions: In NSCLC pts, LOF of STAG2 is not a change after drug resistance, but it may lead to an increase in TMB, which indicates that these pts may have more benefits from immunotherapy. But the influence on prognosis of NSCLC pts needs further research to clarify.

Landmark Studies of Targeted Therapies for Advanced Non-Small Cell Lung Cancer: A Guide for Pulmonologists

2020 ◽  
Vol 16 (1) ◽  
pp. 5-10
Author(s):  
Adrien Costantini ◽  
Theodoros Katsikas ◽  
Clementine Bostantzoglou
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Standard Of Care ◽  
Genetic Alterations ◽  
Small Cell ◽  
Extensive Literature ◽  
Small Cell Lung ◽  
Anaplastic Lymphoma ◽  
Mutational Status

Over the past decade, major breakthroughs in the understanding of lung cancer histology and mutational pathways have radically changed diagnosis and management. More specifically, in non-small cell lung cancer (NSCLC), tumour characterisation has shifted from differentiating based solely on histology to characterisation that includes genetic profiling and mutational status of Epidermal Growth Factor (EGFR), Anaplastic Lymphoma Kinase (ALK), c-ros oncogene 1 (ROS1) and BRAF. These genetic alterations can be targeted by specific drugs that result in improved progression-free survival, as well as higher response rates and are currently standard of care for NSCLC patients harbouring these mutations. In this a narrative, non-systematic review we aim to handpick through the extensive literature and critically present the ground-breaking studies that lead to the institution of tailored treatment options as the standard of care for the main targetable genetic alterations.

scholarly journals Pan-cancer circulating tumor DNA detection in over 10,000 Chinese patients

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yongliang Zhang ◽  
Yu Yao ◽  
Yaping Xu ◽  
Lifeng Li ◽  
Yan Gong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Chinese Patients ◽  
Plasma Samples ◽  
Small Cell Lung ◽  
Pan Cancer ◽  
Tumor Dna

AbstractCirculating tumor DNA (ctDNA) provides a noninvasive approach to elucidate a patient’s genomic landscape and actionable information. Here, we design a ctDNA-based study of over 10,000 pan-cancer Chinese patients. Using parallel sequencing between plasma and white blood cells, 14% of plasma cell-free DNA samples contain clonal hematopoiesis (CH) variants, for which detectability increases with age. After eliminating CH variants, ctDNA is detected in 73.5% of plasma samples, with small cell lung cancer (91.1%) and prostate cancer (87.9%) showing the highest detectability. The landscape of putative driver genes revealed by ctDNA profiling is similar to that in a tissue-based database (R2 = 0.87, p < 0.001) but also shows some discrepancies, such as higher EGFR (44.8% versus 25.2%) and lower KRAS (6.8% versus 27.2%) frequencies in non-small cell lung cancer, and a higher TP53 frequency in hepatocellular carcinoma (53.1% versus 28.6%). Up to 41.2% of plasma samples harbor drug-sensitive alterations. These findings may be helpful for identifying therapeutic targets and combined treatment strategies.

Improvements in access to cancer clinical trials facilitated by comprehensive genomic profiling in non-small cell lung cancer.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 59-59
Author(s):  
Woojung Lee ◽  
Scott Spencer ◽  
Josh John Carlson ◽  
Tam Dinh ◽  
Victoria Dayer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Trials ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Genetic Alterations ◽  
Small Cell ◽  
Genomic Profiling ◽  
Small Cell Lung ◽  
Eligibility Criteria ◽  
Comprehensive Genomic Profiling

59 Background: The use of comprehensive genomic profiling (CGP) in cancer patients could lead to additional enrollment in clinical trials that study novel genetic biomarkers, potentially reducing treatment costs for payers and improving health outcomes for patients. Our objective was to estimate the number of additional clinical trials in which patients with non-small cell lung cancer (NSCLC) could potentially enroll due to the use of CGP vs. a comparator panel of 50 genes or less. Methods: Clinical trials in NSCLC that started between 2015 - 2020 were identified from the Aggregate Analysis of ClinicalTrials.gov (AACT) database. Trials with unknown status or study sites outside the United States only were excluded. We abstracted information on required genetic alterations based on the study eligibility criteria. We calculated the incremental number of trials available to patients due to results generated by CGP (FoundationOne CDx, 324 genes) vs. a commercially available comparator panel that was 50 genes or less (Oncomine Dx Target Test, 23 genes) by phase and calendar year. The additional trials were characterized by disease severity, type of therapy, and setting. Results: Enrollment eligibility was dependent on genetic variant status in 35% (250/709) of all identified NSCLC trials. There were 29 (248 vs. 219) additional clinical trials available to patients through the use of CGP, 12% of all gene-specific trials for NSCLC. We identified 45 uses of genetic markers in the 29 additional clinical trials. The most frequent genetic marker in the incremental trials was microsatellite instability, accounting for 44% of all identified markers (20/45). The incremental number of trials available to patients due to the use of CGP did not vary significantly over time but varied by phase – most of the additional clinical trials were in phase 1 or 2 (28/29, 97%). Most of the incremental trials were in metastatic disease (22/29, 76%) and were conducted in academic or advanced community settings (18/29, 62%). The most frequently studied type of intervention in these studies was targeted monotherapy (8/29, 28%), followed by immuno-monotherapy (7/29, 24%). Conclusions: Clinical trials in NSCLC initiated over the past 5 years have consistently included CGP-specific genes or markers in eligibility criteria. Patients with NSCLC have the potential to benefit from the use of CGP as compared to smaller gene panels through improved access to clinical trials.[Table: see text]

scholarly journals 921 Comparison of PI3K/AKT/mTOR pathway profiles amongst three immune phenotypes classified by artificial intelligence-powered H&E analyzer in non-small cell lung cancer

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A966-A966
Author(s):  
Hyung-Gyo Cho ◽  
Grace Lee ◽  
Hye Sung Kim ◽  
Sanghoon Song ◽  
Kyunghyun Paeng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Microenvironment ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Mtor Pathway ◽  
Small Cell Lung ◽  
Gene Set ◽  
Mtorc1 Signaling ◽  
Immune Phenotypes

BackgroundThe phosphatidylinositol 3-kinase (PI3K)/Akt/mechanistic target of rapamycin (mTOR) pathway plays a significant role in both tumorigenesis and progression of disease in non-small cell lung cancer (NSCLC).1 Increased activation of the pathway, whether in tumor or immune cells, results in an immunosuppressive tumor microenvironment.2 Therefore, we looked into how this pathway differs in three distinct NSCLC immune phenotypes.MethodsLunit SCOPE IO (Lunit, Seoul, Republic of Korea), a deep learning-based hematoxylin and eosin (H&E) image analytics tool, identifies lymphocytes and quantifies lymphocyte density within the cancer epithelium (CE-Lym), stroma (CS-Lym), and combined area (C-Lym). We applied Lunit-SCOPE IO to H&E-stained tissue images of 965 NSCLC samples from The Cancer Genome Atlas (TCGA). Tumors in the lowest tertile of C-Lym were labeled as immune-desert, and the remaining tumors were classified as inflamed and immune-excluded according to the median of the ratio of CE-Lym to CS-Lym.Utilizing RNA-sequencing data from TCGA, gene set enrichment analysis (GSEA) was conducted to analyze the differences in mTORC1 and PI3K/Akt/mTOR signaling between the subtypes.3 We obtained mutational data related to the PI3K/Akt/mTOR pathway from cBioPortal to compare the ratio of functional mutations between the immune phenotypes.4ResultsThe mTORC1 signaling gene set was consistently enriched in immune-excluded, whether compared to inflamed (padj < 0.01, normalized enrichment score [NES]: 2.3) or immune-desert (padj < 0.01, NES: 1.6). However, PI3K/Akt/mTOR signaling gene set enrichment did not show statistically significant differences between the immune phenotypes.Within the three immune phenotypes, we analyzed three functional mutations: PIK3CA, PTEN, and Akt1 (figure 1). Of the total 112 samples showing the functional mutations of the PI3K/Akt/mTOR pathway, 53 were immune-excluded, 31 inflamed, and 28 immune-desert. The relation between mutation frequency and the immune subtypes was significant (X2 (2) = 11.1979, p < .01). The immune-excluded was more likely than the other subtypes to have functional PI3K/Akt/mTOR mutations.Abstract 921 Figure 1The landscape of functional mutation and immune phenotypes regarding PI3K/Akt/mTOR pathwayConclusionsThe three tissue phenomic subtypes showed different PI3K/Akt/mTOR pathway profiles, with immune-excluded having the most mutation samples and the greatest enhancement of mTORC1 signaling gene set. Likewise, tissue H&E based tumor microenvironment classification by Lunit SCOPE IO can be applied to other hallmark pathways and tumor types, and such further investigation of the tumor microenvironment can provide insights into novel therapeutic avenues.ReferencesTan AC. Targeting the PI3K/Akt/mTOR pathway in non-small cell lung cancer (NSCLC). Thorac Cancer 2020;11(3):511–8.O’Donnell JS, Massi D, Teng MWL, Mandala M. PI3K-AKT-mTOR inhibition in cancer immunotherapy, redux. Semin Cancer Biol 2018;48:91–103.Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P. The molecular signatures database hallmark gene set collection. Cell Systems 2015;1(6):417–25.Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2012;2(5):401–4.

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