Cells cultured from non-small cell lung carcinomas are representative of solid tumor tissue based on cytogenetic evidence

1991 ◽  
Vol 56 (1) ◽  
pp. 137 ◽  
Author(s):  
J.M. Siegfried ◽  
D. Ellison ◽  
I. Miura ◽  
J.H. Resau ◽  
J.R. Testa
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Katja Tuononen ◽  
Virinder Kaur Sarhadi ◽  
Aino Wirtanen ◽  
Mikko Rönty ◽  
Kaisa Salmenkivi ◽  
...  

Anaplastic lymphoma receptor tyrosine kinase (ALK) gene rearrangements occur in a subgroup of non-small cell lung carcinomas (NSCLCs). The identification of these rearrangements is important for guiding treatment decisions. The aim of our study was to screenALKgene fusions in NSCLCs and to compare the results detected by targeted resequencing with results detected by commonly used methods, including fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and real-time reverse transcription-PCR (RT-PCR). Furthermore, we aimed to ascertain the potential of targeted resequencing in detection ofALK-rearranged lung carcinomas. We assessedALKfusion status for 95 formalin-fixed paraffin-embedded tumor tissue specimens from 87 patients with NSCLC by FISH and real-time RT-PCR, for 57 specimens from 56 patients by targeted resequencing, and for 14 specimens from 14 patients by IHC. All methods were performed successfully on formalin-fixed paraffin-embedded tumor tissue material. We detectedALKfusion in 5.7% (5 out of 87) of patients examined. The results obtained from resequencing correlated significantly with those from FISH, real-time RT-PCR, and IHC. Targeted resequencing proved to be a promising method forALKgene fusion detection in NSCLC. Means to reduce the material and turnaround time required for analysis are, however, needed.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Jianhua Cao ◽  
Benjamin Balluff ◽  
Martijn Arts ◽  
Ludwig J. Dubois ◽  
Luc J. C. van Loon ◽  
...  

Abstract Background Metabolic reprogramming is a common phenomenon in tumorigenesis and tumor progression. Amino acids are important mediators in cancer metabolism, and their kinetics in tumor tissue are far from being understood completely. Mass spectrometry imaging is capable to spatiotemporally trace important endogenous metabolites in biological tissue specimens. In this research, we studied L-[ring-13C6]-labeled phenylalanine and tyrosine kinetics in a human non-small cell lung carcinoma (NSCLC) xenografted mouse model using matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry imaging (MALDI-FTICR-MSI). Methods We investigated the L-[ring-13C6]-Phenylalanine (13C6-Phe) and L-[ring-13C6]-Tyrosine (13C6-Tyr) kinetics at 10 min (n = 4), 30 min (n = 3), and 60 min (n = 4) after tracer injection and sham-treated group (n = 3) at 10 min in mouse-xenograft lung tumor tissues by MALDI-FTICR-MSI. Results The dynamic changes in the spatial distributions of 19 out of 20 standard amino acids are observed in the tumor tissue. The highest abundance of 13C6-Phe was detected in tumor tissue at 10 min after tracer injection and decreased progressively over time. The overall enrichment of 13C6-Tyr showed a delayed temporal trend compared to 13C6-Phe in tumor caused by the Phe-to-Tyr conversion process. Specifically, 13C6-Phe and 13C6-Tyr showed higher abundances in viable tumor regions compared to non-viable regions. Conclusions We demonstrated the spatiotemporal intra-tumoral distribution of the essential aromatic amino acid 13C6-Phe and its de-novo synthesized metabolite 13C6-Tyr by MALDI-FTICR-MSI. Our results explore for the first time local phenylalanine metabolism in the context of cancer tissue morphology. This opens a new way to understand amino acid metabolism within the tumor and its microenvironment.


Lung Cancer ◽  
2020 ◽  
Vol 139 ◽  
pp. 9-12 ◽  
Author(s):  
Maurício Fernando Silva Almeida Ribeiro ◽  
João Victor Machado Alessi ◽  
Leandro Jonata Carvalho Oliveira ◽  
Aline Bobato Lara Gongora ◽  
Karina Perez Sacardo ◽  
...  

2018 ◽  
Vol 54 ◽  
pp. 140-150 ◽  
Author(s):  
Wen-Chien Huang ◽  
Kuang-Tai Kuo ◽  
Bamodu Oluwaseun Adebayo ◽  
Chun-Hua Wang ◽  
Yu-Jen Chen ◽  
...  

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