scholarly journals Clinical Characteristics and Molecular Patterns of RET-Rearranged Lung Cancer in Chinese Patients

2019 ◽  
Vol 27 (5) ◽  
pp. 575-582 ◽  
Author(s):  
Kai Zhang ◽  
Huajun Chen ◽  
Ye Wang ◽  
Lin Yang ◽  
Chengzhi Zhou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Progression Free Survival ◽  
Chinese Patients ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Molecular Features ◽  
Molecular Patterns ◽  
Next Generation Sequencing Ngs

RET rearrangement has been proven as an oncogenic driver in patients with lung cancer. However, the prevalence, clinical characteristics, molecular features, and therapeutic options in RET-rearranged patients remain unclear, especially in Chinese lung cancer patients. We retrospectively collected 6,125 Chinese lung cancer patients who have been profiled using next-generation sequencing (NGS). The clinical demographics and molecular features of RET rearrangement-positive patients were analyzed. RET rearrangements were identified in 84 patients with a proportion of 1.4% in our cohort. The median age at diagnosis was 58 years, and it mainly occurred in females with adenocarcinoma histology. KIF5B-RET was the most frequent fusion type and accounted for 53.8% (57/106) of all RET fusions identified, with K15-R12 as the most frequent variant (71.9%). Among 47 RET+ patients profiled with larger panels, 72.3% (34/47) harbored concurrent alterations. TP53 ranked as the most common concurrent alteration, and concomitant EGFR oncogenic alterations were identified in seven patients. Moreover, an adenocarcinoma patient harboring concurrent RET fusion and EGFR L858R responded to combinatorial treatment of cabozantinib and osimertinib, with a progression-free survival of 5 months. Our study improved knowledge of clinical characteristics and molecular features of RET-rearranged lung cancers in China. It might be helpful to guide clinicians for more effective personalized diagnostic and therapeutic approaches.

scholarly journals Sensitivity, specificity, and accuracy of a liquid biopsy approach utilizing molecular amplification pools

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jessica Garcia ◽  
Nick Kamps-Hughes ◽  
Florence Geiguer ◽  
Sébastien Couraud ◽  
Brice Sarver ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Clinical Setting ◽  
High Sensitivity ◽  
Sequencing Error ◽  
Lung Cancer Patients ◽  
Mutation Discovery ◽  
Sensitivity Specificity ◽  
Next Generation Sequencing Ngs ◽  
Digital Polymerase Chain Reaction

AbstractCirculating cell-free DNA (cfDNA) has the potential to be a specific biomarker for the therapeutic management of lung cancer patients. Here, a new sequencing error-reduction method based on molecular amplification pools (MAPs) was utilized to analyze cfDNA in lung cancer patients. We determined the accuracy of MAPs plasma sequencing with respect to droplet digital polymerase chain reaction assays (ddPCR), and tested whether actionable mutation discovery is improved by next-generation sequencing (NGS) in a clinical setting. This study reports data from 356 lung cancer patients receiving plasma testing as part of routine clinical management. Sequencing of cfDNA via MAPs had a sensitivity of 98.5% and specificity 98.9%. The ddPCR assay was used as the reference, since it is an established, accurate assay that can be performed contemporaneously on the same plasma sample. MAPs sequencing detected somatic variants in 261 of 356 samples (73%). Non-actionable clonal hematopoiesis-associated variants were identified via sequencing in 21% of samples. The accuracy of this cfDNA sequencing approach was similar to that of ddPCR assays in a clinical setting, down to an allele frequency of 0.1%. Due to broader coverage and high sensitivity for insertions and deletions, sequencing via MAPs afforded important detection of additional actionable mutations.

Pretreatment lung immune prognostic index as biomarker in advanced non-small-cell lung cancer patients receiving first line pembrolizumab

Immunotherapy ◽  
2021 ◽  
Author(s):  
Antonello Veccia ◽  
Vincenzo Sforza ◽  
Emanuela Vattemi ◽  
Alessandro Inno ◽  
Stefania Kinspergher ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Prognostic Index ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
C Statistic

Background: To investigate the role of pretreatment lung immune prognostic index (LIPI) as biomarker in PD-L1 ≥50% non-small-cell lung cancer patients receiving pembrolizumab. Patients & methods: We retrospectively identified 117 patients, divided into 3 prognostic groups according to LIPI score. For each patient, we evaluated 1-year overall survival (OS) and progression-free survival rate. C-statistic and survival receiver operating characteristic curves were used to study discrimination of LIPI. Results: After a median follow-up of 11.7 months, 1-year OS rate was 60.1%, 35.3% and 28.6%, while 1-year progression-free survival rate was 39.1%, 20.6% and 14.3% in good, intermediate and poor LIPI groups, respectively (p < 0.001). The c-statistic and area under the curve of LIPI were 0.63 and 0.662 for OS and 1-year OS, respectively. Conclusions: Higher LIPI score is related to worse survival in advanced non-small-cell lung cancer patients treated with first-line pembrolizumab. However, based on c-statistic and area under the curve, LIPI does not represent a good prognostic survival model.

scholarly journals Soluble c-Met Is a Reliable and Sensitive Marker to Detect c-Met Expression Level in Lung Cancer

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huilai Lv ◽  
Baoen Shan ◽  
Ziqiang Tian ◽  
Yong Li ◽  
Yuefeng Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Tissue Sample ◽  
Sample Collection ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Lung Cancer Therapy ◽  
Reliable Marker ◽  
Soluble C ◽  
Sensitive Marker

c-Met has been demonstrated as an attractive target in lung cancer therapy. Current studies showed that detection of c-Met status in tumor is critical in Met-targeted therapy. However not all patients are suitable for tissue sample collection. It is important to discover novel surrogate markers to detect c-Met status. In the study, soluble c-Met (s-Met) in plasma from 146 Chinese lung cancer patients and 40 disease-free volunteers was measured by enzyme-linked immunosorbent. In parallel, expression of c-Met in those tumors was also assessed by immunohistochemistry. Results showed that, in 146 lung cancer patients, 93 were c-Met expression positive and 74 of 93 were overexpressed. In c-Met-overexpressed patients, plasma s-Met was significantly increased. And further studies showed that plasma s-Met linearly correlated with c-Met expression in tumor. After tumor was removed in Met-overexpressed patients via resection, plasma s-Met significantly decreased to basal level. In addition, plasma s-Met showed to be poorly correlated with tumor size in Met-overexpressed patients. These results demonstrated that plasma s-Met is a sensitive and reliable marker to detect c-Met overexpression in lung cancers, and it is independent of tumor volume.

Comprehensive cancer genomics-based screening of new therapeutic targets and biomarkers for lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21031-e21031
Author(s):  
Yataro Daigo ◽  
Atsushi Takano ◽  
Yusuke Nakamura
Keyword(s):  
Lung Cancer ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Therapeutic Target ◽  
Cancer Genomics ◽  
Cancer Biomarkers ◽  
Lung Cancer Cells ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Target Molecules

e21031 Background: Since the clinical outcome of advanced lung cancer patients is still poor after standard therapies, development of new anti-cancer drugs with minimum risk of adverse effects and cancer biomarkers for precision medicine is urgently required. Methods: We have been screening new therapeutic target molecules and molecular biomarkers for lung cancers as follows; i) To identify overexpressed genes in lung cancers by the gene expression profile analysis, ii) To verify the target genes for their scarce expression in normal tissues, iii) To validate the clinicopathologic importance of their protein expression by tissue microarray covering 263 lung cancers, and iv) To confirm their function for the growth and/or invasive ability of the lung cancer cells by siRNAs and gene transfection assays. Results: We identified dozens of candidate target molecules and selected a gene encoding protein with a GAP domain, LAPG1 (lung cancer-associated protein with Gap domain 1). Immunohistochemical analysis showed that LAPG1 expression was observed in 69.9% of lung cancers. Moreover positivity of LAPG1 expression was associated with poor prognosis of lung cancer patients. Knockdown of LAPG1 expression by siRNAs suppressed growth of lung cancer cells. Introduction of LAPG1 increased the invasive activity of mammalian cells, indicating that LAPG1 could be a prognostic biomarker and therapeutic target for lung cancers. Conclusions: Comprehensive cancer genomics-based screening could be useful for selection of new cancer biomarkers and molecular targets for developing small molecules, antibodies, nucleic acid drugs, and immunotherapies.

scholarly journals Metformin Prolongs Survival in Type 2 Diabetes Lung Cancer Patients With EGFR-TKIs

2019 ◽  
Vol 18 ◽  
pp. 153473541986949 ◽  
Author(s):  
Ming-Szu Hung ◽  
Min-Chun Chuang ◽  
Yi-Chuan Chen ◽  
Chuan-Pin Lee ◽  
Tsung-Ming Yang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Kinase Inhibitor ◽  
Progression Free Survival ◽  
Research Database ◽  
Lung Cancer Patients ◽  
Risk Of Death ◽  
Type 2 Dm ◽  
Egfr Tki

Background: Metformin use reportedly reduces cancer risk and improves survival in lung cancer patients. This study aimed to investigate the effect of metformin use in patients with diabetes mellitus (DM) and lung cancer receiving epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy. Methods: A nationwide, population-based cohort study was conducted using the Taiwan National Health Insurance Research Database. From January 1, 2004, to December 31, 2012, a total of 373 metformin and 1260 non-metformin lung cancer cohorts with type 2 DM and EGFR-TKI treatment were studied. Results: Metformin use was significantly associated with a reduced risk of death (hazard ratio: 0.73, 95% confidence interval [CI]: 0.62-0.85, P < .001), as well as a significantly longer median progression-free survival (9.2 months, 95% CI: 8.6-11.7, vs 6.4 months, 95% CI: 5.9-7.2 months, P < .001) and median overall survival (33.4 months, 95% CI: 29.4-40.2, vs 25.4 months, 95% CI: 23.7-27.2 months, P < 0.001). Conclusions: In conclusion, metformin may potentially enhance the therapeutic effect and increase survival in type 2 DM patients with lung cancer receiving EGFR-TKI therapy.

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