| Literature DB >> 34884672 |
Giorgia Guaitoli1,2, Federica Bertolini3, Stefania Bettelli4, Samantha Manfredini4, Michela Maur3, Lucia Trudu2, Beatrice Aramini5, Valentina Masciale6, Giulia Grisendi6, Massimo Dominici2,6, Fausto Barbieri3.
Abstract
ROS proto-oncogene 1 (ROS1) rearrangements are reported in about 1-2% of non-squamous non-small-cell lung cancer (NSCLC). After efficacy of crizotinib was demonstrated, identification of ROS1 translocations in advanced disease became fundamental to give patients the chance of specific and effective treatment. Different methods are available for detection of rearrangements, and probably the real prevalence of ROS1 rearrangements is higher than that reported in literature, as our capacity to detect gene rearrangements is improving. In particular, with next generation sequencing (NGS) techniques, we are currently able to assess multiple genes simultaneously with increasing sensitivity. This is leading to overcome the "single oncogenic driver" paradigm, and in the very near future, the co-existence of multiple drivers will probably emerge more frequently and represent a therapeutic issue. Since recently, crizotinib has been the only available therapy, but today, many other tyrosine kinase inhibitors (TKI) are emerging and seem promising both in first and subsequent lines of treatment. Indeed, novel inhibitors are also able to overcome resistance mutations to crizotinib, hypothesizing a possible sequential strategy also in ROS1-rearranged disease. In this review, we will focus on ROS1 rearrangements, dealing with diagnostic aspects, new therapeutic options, resistance issues and the coexistence of ROS1 translocations with other molecular alterations.Entities:
Keywords: ROS1 rearrangements; lung cancer; molecular alterations; next generation sequencing; target therapies
Mesh:
Substances:
Year: 2021 PMID: 34884672 PMCID: PMC8657497 DOI: 10.3390/ijms222312867
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Advantages and limitations of available diagnostic techniques for ROS1 rearrangement detection.
| IHC | (RT)-PCR | FISH | NGS | |
|---|---|---|---|---|
| Advantages |
Effective screening tool Reduction of costs avoiding unnecessary FISH test Short turnaround time |
High specificity and sensitivity Short turnaround time |
Low input of material High specificity and sensitivity Short turnaround time Does not require knowledge of possible fusion partners |
Simultaneous testing of many predictive biomarkers, saving time and material High specificity and sensitivity Identification of several ROS1 fusion partners Both DNA and RNA as input material Recent validation of panels for ctDNA |
| Limitations |
Lack of globally accepted scores May be difficult to interpret (background ROS1 expression on pneumocytes and alveolar macrophages) |
Variable rates of failure (RNA integrity could be affected by fixation) Primers require knowledge of possible fusion partners Missing of uncommon or rare partners |
Difficult to interpret (expertise of pathologist is needed) ROS1 fusion partners are not specified |
Longer turnaround time Reduced sensitivity of DNA-based assays in detection of rearrangements Possible RNA failure in RNA-based assays |
Figure 1Image of FISH assay detecting ROS1 rearrangements (indicated by arrows) and image of NGS RNA panel (Oncomine Dx) detecting EZR–ROS1 fusion. Both tests were performed at our Molecular Pathology Laboratory on cytoblock specimen from pleural effusion in a 55-year-old woman (non-smoker) diagnosed with advanced adenocarcinoma of the lung. In this particular case, IHC screening was positive, but FISH assay was positive for rearrangement only on 8% of cells, not meeting the positivity threshold (≥15%), but fusion was then confirmed by NGS testing. Patient gave her informed consent to publish images and her clinical information.
Main prospective clinical trials with crizotinib.
| Clinical Trial | Phase | N of Patients | Median Age | ROS1 | Previous Lines | ORR% | mPFS | mOS | CNS Outcomes |
|---|---|---|---|---|---|---|---|---|---|
| PROFILE 1001 [ | 1 | 53 | 53 | 51 FISH | ≥0 | 72 (58–83) | 19.3 | 51.4 | - |
| OxOnc [ | 2 | 127 | 51.5 | RT-PCR | ≤3 | 71.7 | 15.9 | 32.5 | mPFS 10.2 (95% CI 5.6–13.1) vs. 18.8 months (13.1–NR) a |
| EUCROSS [ | 2 | 34 b | 56 (33–84) | FISH c | 16 ≤ 1 | 70 | 20.0 | NR | mPFS 9.4 (1.7–NR) vs. 20.0 months (10.1–NR) |
| AcSè [ | 2 | 37 d | 62 (33–81) | FISH | median 2 | 69.4 | 5.5 | 17.2 | - |
| METROS [ | 2 | 26 | 68 (28–86) | FISH | ≥1 | 65 | 22.8 | NR | ORR 33% (2/6) |
ORR: Objective Response Rate; mPFS: median Progression Free Survival; mOS: median Overall Survival; CNS: Central Nervous System; FISH: Fluorescense in situ Hybridization; RT-PCR: Reverse-transcriptase-polymerase-chain-reaction; NR: Not Reached; HR: Hazard Ratio. a Patients with baseline brain metastases versus patients without brain metastases; b 4 patients were excluded from efficacy analysis; c DNA Sequencing on 20 samples, with confirmed rearrangements on 18 samples; d 36 evaluable; e best overall response rate; ORR assessed at two cycles 47.2% (95% CI 30.4–64.5).
Main clinical trials about next generation TKIs as first-line treatment.
| Drug | Phase | Number of | ROS1 Testing Technique | ORR | mPFS | Intracranial |
|---|---|---|---|---|---|---|
| Entrectinib [ | ½ a | 53 | FISH, PCR, NGS | 77 | 19.0 | RR 55% |
| Ceritinib [ | 2 | 30 | FISH | 62 b | 19.3 | DCR 63% |
| Lorlatinib [ | 1/2 | 21 | FISH, PCR, NGS | 62 | - | RR 64% |
| Repotrectinib [ | 1/2 | 7 | NR | 86 | - | - |
| Taletrectinib [ | 1 | 11 | FISH, PCR, NGS | 66.7 | 29.1 | - |
TKI: Tirosine Kinase Inhibitor; ORR: Objective Response Rate; mPFS: median Progression Free Survival; RR: Response Rate; DCR: Disease Control Rate; NR: Not Reached. a integrated analysis of 3 trials; b 28 patients evaluable for response.
Figure 2Timeline of ROS1 tirosine kinase inhibitors and FDA approvals since discovery of ROS1-rearrangements in non-small-cell lung cancer.