| Literature DB >> 35118291 |
Piergiorgio Muriana1, Francesca Rossetti1.
Abstract
In recent years, several molecules targeting specific genetic aberrations were released for the treatment of patients affected by locally advanced and metastatic non-small cell lung cancer (NSCLC), leading to an improvement in survival. Moreover, inhibitors of PD-1 and PD-L1 immune checkpoints showed to improve survival, and they are now indicated as first-line treatment in selected patients. Hence, the collection of adequate samples for diagnosis, staging, genotyping and immunohistochemical analysis is a fundamental step in NSCLC treatment planning. When feasible, EBUS-TBNA is suggested as the first-choice diagnostic tool by most of the guidelines. Several studies demonstrated that mutation analysis is viable with high levels of accuracy on both cytological and histological samples obtained by EBUS-TBNA. No technical factor (type of needle, number of passes, use of rapid-on-site-examination, material processing, detection method) has been identified as uniquely influencing the diagnostic yield of molecular analysis. EBUS-TBNA demonstrated to be useful for the restaging of patients affected by locally advanced NSCLC who underwent induction chemotherapy or chemo-radiotherapy, as well as in those who show acquired resistance to targeted therapy and immunotherapy. Nevertheless, most authors agree that a high number of false negative results should be expected due to the likely presence of necrosis and fibrosis induced by neoadjuvant treatments. Therefore, in case of EBUS-TBNA negative sample, pathologic confirmation by surgical biopsy is recommended for the planning of definitive treatment. As suggested by a few preliminary experiences, a wide application of next-generation sequencing (NGS) on EBUS-TBNA specimens will lead to the development of better tailored treatments with simultaneous identification of a large number of gene alterations on a single sample at the time of diagnosis. 2020 Mediastinum. All rights reserved.Entities:
Keywords: EBUS-TBNA; PD-L1; molecular analysis; non-small cell lung cancer (NSCLC); restaging
Year: 2020 PMID: 35118291 PMCID: PMC8794354 DOI: 10.21037/med-20-24
Source DB: PubMed Journal: Mediastinum ISSN: 2522-6711
Results of molecular markers assessment on samples obtained by EBUS-TBNA from patients affected by NSCLC
| Author, year | Country | Enrollment period | N° patients | Histotype | TNM stage | Type of sample | Markers assessed | Adequate samples for testing, % | Prevalence of positive samples†, % | Main findings |
|---|---|---|---|---|---|---|---|---|---|---|
| Nakajima, 2007 ( | Japan | 2003–2006 | 46 | Adenocarcinoma | IIB–IV | H | EGFR | 93.5 | 25.6 | Histologic cores obtained by EBUS-TBNA contain a lower burden of contaminating cells compared to other non-surgical specimens |
| Garcia-Olivé, 2010 ( | Spain | 2006–2007 | 36 | Adenocarcinoma, NOS NSCLC | IIA–IV | H | EGFR | 72.2 | 7.7 | EBUS-TBNA is useful to obtain samples suitable for EGFR mutation analysis. The occurrence of mutations is higher in patients with adenocarcinoma than NOS NSCLC |
| Sakairi, 2010 ( | Japan | 2008–2009 | 109 | NSCLC | II–IV | H + C | EGFR | 100 | 22.9 | Cytological samples are suitable for ALK fusion genes analysis. Immunohistochemistry shows higher sensitivity than FISH and RT-PCR |
| ALK | 100 | 6.4 | ||||||||
| Nakajima, 2011 ( | Japan | 2008–2009 | 156 | NSCLC | II–IV | H + C | EGFR | 98.7 | 26.9 | Multigene mutation analysis is feasible on samples obtained by EBUS-TBNA |
| KRAS | 72.4 | 3.5 | ||||||||
| p53 | 72.4 | 41.6 | ||||||||
| Santis, 2011 ( | UK | 2009–2011 | 132 | NSCLC | NR | C | EGFR | 95.5 | 10.5 | EBUS-TBNA provides sufficient cytological material for EGFR and KRAS mutation analysis. COLD-PCR increases the sensitivity of detection of mutant sequences |
| KRAS | 98.4 | 17.5 | ||||||||
| Navani, 2012 ( | UK | 2009–2011 | 119 | NSCLC | NR | C | EGFR | 90 | 6 | EGFR mutation determination is feasible on cytological EBUS-TBNA samples |
| Okada, 2012 ( | Japan | 2006–2009 | 14 | NSCLC | IIIA–IIIB | H + C | EGFR | 100 | 14.3 | EGFR mutation status on EBUS-TBNA samples may not reflect the status of primary tumors due to genetic heterogeneity |
| Esterbrook, 2013 ( | UK | 2009–2011 | 36 | Non-squamous NSCLC | NR | C | EGFR | 88.8 | 3.1 | Cell blocks specimens are adequate for EGFR mutation testing |
| Neat, 2013 ( | UK | NR | 55 | NSCLC | IIB–IV | C | EGFR | NR | NR | Evaluation for ALK rearrangement by FISH is possible in most cytological samples obtained by EBUS-TBNA |
| ALK | 94.5 | 5.7 | ||||||||
| KRAS | NR | 23.6 | ||||||||
| Jurado, 2013 ( | USA | 2010–2012 | 56 | Adenocarcinoma, adenosquamous carcinoma | NR | C | EGFR | 90 | 10 | EBUS-TBNA under moderate sedation permits to obtain sufficient material for molecular analysis |
| ALK | 91 | 12 | ||||||||
| KRAS | 75 | 25 | ||||||||
| Folch, 2013 ( | USA | 2007–2012 | 42 | Adenocarcinoma, NOS NSCLC | II–IV | C | EGFR | 95.2 | 11.9 | Molecular genotyping with EBUS-TBNA is non-inferior to other minimally invasive and surgical techniques, and is superior to percutaneous needle biopsies. No factors responsible for failure of molecular testing have been identified |
| ALK | 90.5 | 2.4 | ||||||||
| KRAS | 90.5 | 42.9 | ||||||||
| Casadio, 2015 ( | Italy | 2012–2014 | 195 | Adenocarcinoma, NOS NSCLC | IIIB–IV | C | EGFR | 96.9 | 16.9 | No statistical difference in mutational status defined by cytological EBUS-TBNA samples compared to a large surgical series |
| ALK | 98 | 3.9 | ||||||||
| KRAS | 96.4 | 31.6 | ||||||||
| Bravaccini, 2016 ( | Italy | 2012 | 115 (collectively with traditional TBNA) | Adenocarcinoma | NR | C | EGFR | 100 | 14 | Ineffective immediate fixation of cytological sample, subsequent incorrect handling, and low cellularity are causes of inadequacy for ALK evaluation |
| ALK | 76.5 | 10.2 | ||||||||
| Guisier, 2016 ( | France | 2012–2014 | 111 | Non-squamous NSCLC | NR | H + C | EGFR | 79.3 | 11.4 | The use of radial EBUS allows multi-gene molecular analysis in about 80% of patients with peripheral non-squamous NSCLC. Upper and middle lobe tumor location and >3 passes are independent predictors of increased molecular assessment feasibility |
| ALK | 79.3 | 5.7 | ||||||||
| KRAS | 78.4 | 26.4 | ||||||||
| HER2 | 77.5 | 1.2 | ||||||||
| PI3K | 77.5 | 0 | ||||||||
| BRAF | 77.5 | 2.3 | ||||||||
| MET | 93.3 | 28.6 | ||||||||
| ROS1 | NR | 0 | ||||||||
| Lee, 2016 ( | South Korea | 2011–2013 | 109 | NSCLC | II–IV | H | EGFR | 100 | 21.1 | Triple gene analysis was possible in 96% of patients with small biopsy samples obtained by EBUS-TBNA |
| ALK | 96.3 | 4.9 | ||||||||
| KRAS | 100 | 11.9 | ||||||||
| Jeyabalan, 2016 ( | UK | 2010–2014 | 80 | Adenocarcinoma | NR | H | EGFR | 98.8 | 6.3 | Combined EGFR-ALK success rate was 99%. Needle size does not affect accuracy |
| ALK | 100 | 0 | ||||||||
| Fernandez-Bussy, 2017 ( | Chile | 2014–2015 | 86 | Adenocarcinoma, NOS NSCLC | NR | C | EGFR | 97.7 | 25.6 | Samples obtained by EBUS-TBNA are suitable for evaluation of acquired resistance to TKIs by ROS1 testing |
| ALK | 94.2 | 5.8 | ||||||||
| ROS1 | 83.3 | 8.3 | ||||||||
| Rosso, 2017 ( | Italy | 2005–2016 | 54 | NSCLC | NR | H | EGFR | 98.1 | 7.5 | EBUS-TBNA allows appropriate diagnosis, staging, and molecular characterization of NSCLC. ROSE does not improve the yield. Selection of needle can follow individual preference |
| ALK | 92.6 | 3.7 | ||||||||
| KRAS | 100 | 11.9 | ||||||||
| BRAF | 100 | 2.4 | ||||||||
| MET | 100 | 50 | ||||||||
| ROS1 | 100 | 0 | ||||||||
| Sakakibara, 2017 ( | Japan | 2013–2014 | 97 | NSCLC | NR | H | PD-L1 | 100 | NR | EBUS-TBNA enables better evaluation of PD-L1 expression than TBB, with results comparable to correspondent surgical samples, in particular in presence of high cellularity (>2,000) |
| Raad, 2018 ( | USA | 2012–2016 | 69 | NSCLC | I–IV | H + C | EGFR | 100 | 4.3 | Availability of ROSE and >6 passes increase the yield of EBUS-TBNA for multiple molecular determinations, and possible for NGS |
| ALK | 90.5 | 4.8 | ||||||||
| KRAS | 100 | 17.2 | ||||||||
| ROS1 | 94.1 | 7.8 | ||||||||
| Bellinger, 2018 ( | USA | 2014–2015 | 109 | NSCLC | I–IV | H + C | EGFR | 80 | NR | The application of a standardized protocol for specimen acquisition and processing improved the diagnostic yield for molecular genotyping with EBUS-TBNA |
| ALK | 80 | NR | ||||||||
| Biswas, 2018 ( | USA | 2017 | 50 | NSCLC | II–IV | C | ALK | 88 | NR | Cytology samples from EBUS-TBNA provide sufficient material for both ALK, PD-L1 and NGS testing |
| PD-L1 | 86 | 32 | ||||||||
| Fernandez-Bussy, 2018 ( | Chile | 2015–2017 | 23 | NSCLC | NR | H | PD-L1 | 100 | 13 | EBUS-TBNA provides adequate histological samples for PD-L1 analysis, but it is not clear if they are representative of primary tumor |
| Ghigna, 2018 ( | France | 2011–2017 | 398 | NSCLC | NR | H | EGFR | 79.4 (overall) | 7 | EBUS-TBNA and rapid molecular diagnostics consent molecular profiling along with pathologic definition at the time of diagnosis. ROSE reduces the number of needle passes and improves adequacy of molecular testing and NGS |
| ALK | 3 | |||||||||
| KRAS | 23 | |||||||||
| Sakata, 2018 ( | USA | 2006–2016 | 61 | NSCLC | I–IV | C | PD-L1 | 100 | 16.4 | Increasing number of passes and large bore needles may reduce the number of false negative PD-L1 samples from EBUS-TBNA. Adequacy is influenced by the threshold of PD-L1 positive cells chosen as cutoff and cellularity of the |
| Cicek, 2019 ( | Turkey | 2013–2016 | 114 | Adenocarcinoma, NOS NSCLC | IIIA–IV | C | EGFR | 88.6 | 11.4 | EBUS-TBNA provided adequate samples for ROS1 testing in a large population |
| ALK | 93.8 | 8 | ||||||||
| ROS1 | 91.8 | 1 | ||||||||
| Smith, 2020 ( | Canada | 2016–2017 | 120 | NSCLC | I–IV | C | PD-L1 | 91.6 | 48.2 | No clinical or procedural factors are predictors of successful PD-L1 testing on EBUS-TBNA samples. Concordance with correspondent surgical tissue is 78% |
†, PD-L1 samples were considered positive when TMB >50% (high expression). NSCLC, non-small cell lung cancer; C, cytological sample; H, histological sample; NOS, not otherwise specified; NR, not reported; TMB, tumor mutational burden; TBB, transbronchial biopsy; NGS, next-generation sequencing; TKI, tyrosine kinase inhibitor; FISH, fluorescence-in-situ- hybridization; RT-PCR, real-time polymerase chain reaction.
Figure 1A 70-year old male patient was found to have a right solid pulmonary para-hilar mass invading the tracheobronchial angle (A); EBUS-TBNA resulted positive for adenocarcinoma G3 (TTF1 positive, p63 negative, synaptophysin negative, EGFR and ALK wild-type, KRAS positive) (B); at PD-L1 assessment (clone 22C3, Ventana Benchmark Ultra platform), 90% of neoplastic cells resulted positive (C); the patient underwent induction therapy with cisplatin-vinorelbine (four cycles) and concurrent radiotherapy. After restaging, the mass resulted resectable by means of pneumonectomy; yet, surgery was contraindicated due to poor respiratory function. Immunotherapy with durvalumab was started. Chest CT scan 7 months after diagnosis showed a significant reduction of the tumor (D).
Performance of EBUS-TBNA for mediastinal restaging after neoadjuvant chemotherapy or chemo-radiotherapy
| Author, year | N° patients | Sampling technique | Sensitivity, % | Specificity, % | PPV, % | NPV, % | Accuracy, % |
|---|---|---|---|---|---|---|---|
| Herth, 2008 ( | 124 | EBUS | 76 | 100 | 100 | 20 | 77 |
| Szlubowski, 2010 ( | 61 | EBUS | 67 | 86 | 91 | 78 | 80 |
| Zielinski, 2013 ( | 88 | CUS | 64 | 100 | 100 | 82 | NR |
| Szlubowski, 2014 ( | 106 | CUSb | 67 | 96 | 95 | 73 | 81 |
| Nasir, 2014 ( | 32 | EBUS | 50 | 100 | 100 | 88 | 89 |
| Genestreti, 2015 ( | 14 | CUS | 50 | 60 | 33 | 75 | NR |
| Çetinkaya, 2017 ( | 44 | EBUS | 82 | 100 | 100 | 76 | 89 |
| Muthu, 2018 ( | 574 | CUS | 67 | 99 | 52 | 33 | NR |
| Jiang, 2020 ( | 558 | CUS | 65 | 99 | NR | 35 | NR |
†, Meta-analysis; pooled results with EUS-FNA; ‡, meta-analysis; results referred to EBUS-TBNA. CUS, combined EBUS and EUS; CUSb, combined EBUS and EUS using a single ultrasound bronchoscope; NPV, negative predictive value; NR, not reported; PPV, positive predictive value; EUS-FNA, endoscopic ultrasound-fine needle aspiration.