| Literature DB >> 35565387 |
Marius Ilié1,2,3,4, Véronique Hofman1,2,3,4, Christophe Bontoux1,2,3,4, Simon Heeke5, Virginie Lespinet-Fabre1, Olivier Bordone1,2, Sandra Lassalle1,2,3,4, Salomé Lalvée1, Virginie Tanga2, Maryline Allegra2, Myriam Salah2, Doriane Bohly2, Jonathan Benzaquen3,4,6, Charles-Hugo Marquette3,4,6, Elodie Long-Mira1,2,3,4, Paul Hofman1,2,3,4.
Abstract
The number of genomic alterations required for targeted therapy of non-squamous non-small cell lung cancer (NS-NSCLC) patients has increased and become more complex these last few years. These molecular abnormalities lead to treatment that provides improvement in overall survival for certain patients. However, these treated tumors inexorably develop mechanisms of resistance, some of which can be targeted with new therapies. The characterization of the genomic alterations needs to be performed in a short turnaround time (TAT), as indicated by the international guidelines. The origin of the tissue biopsies used for the analyses is diverse, but their size is progressively decreasing due to the development of less invasive methods. In this respect, the pathologists are facing a number of different challenges requiring them to set up efficient molecular technologies while maintaining a strategy that allows rapid diagnosis. We report here our experience concerning the development of an optimal workflow for genomic alteration assessment as reflex testing in routine clinical practice at diagnosis for NS-NSCLC patients by using an ultra-fast-next generation sequencing approach (Ion Torrent Genexus Sequencer, Thermo Fisher Scientific). We show that the molecular targets currently available to personalized medicine in thoracic oncology can be identified using this system in an appropriate TAT, notably when only a small amount of nucleic acids is available. We discuss the new challenges and the perspectives of using such an ultra-fast NGS in daily practice.Entities:
Keywords: genomic alteration; next-generation sequencing; non-squamous non-small cell lung carcinoma; targeted therapy; turnaround time
Year: 2022 PMID: 35565387 PMCID: PMC9104603 DOI: 10.3390/cancers14092258
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Figure 1Genexus System workflows used in this study. (A) Workflow using the Maxwell automate for DNA and RNA extraction. (B) Workflow with AutoLys tubes and Genexus Purification System for DNA and RNA extraction.
Main epidemiological and clinico-pathological features of the study population. EBUS: endobronchial ultrasound.
| Characteristics | ||
|---|---|---|
| 259 (100) | ||
|
| Median | 69 |
| Range | 34–84 | |
|
| Male | 197 (76) |
| Female | 62 (24) | |
|
| Smokers | 186(72) |
| Non-smokers | 44 (17) | |
| Unknown | 29 (11) | |
|
| Bronchial biopsy | 153 (59) |
| Transthoracic biopsy | 47 (18) | |
| Surgical specimen | 39 (15) | |
| Pleural effusion (cellblock) | 13 (5) | |
| EBUS | 7 (3) | |
|
| Adenocarcinoma | 250 (97) |
| Large cell carcinoma | 9 (3) | |
|
| Stage I | 78 (30) |
| Stage II | 73 (28) | |
| Stage III | 28 (11) | |
| Stage IV | 80 (31) | |
Throughput of analyses during the study period. OPA: Oncomine Precision Assay.
|
| DNA | 252 |
| RNA | 254 | |
| Failed DNA | 10/252 (4%) | |
| Failed RNA | 5/254 (2%) |
Figure 2Distribution of driver molecular alterations detected in NS-NSCLC specimens during the study period.