| Literature DB >> 34511936 |
Mercedes L Dalurzo1, Alejandro Avilés-Salas2, Fernando Augusto Soares3, Yingyong Hou4, Yuan Li5, Anna Stroganova6, Büge Öz7, Arif Abdillah8, Hui Wan8, Yoon-La Choi9.
Abstract
The treatment of patients with advanced non-small-cell lung cancer (NSCLC) in recent years has been increasingly guided by biomarker testing. Testing has centered on driver genetic alterations involving the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) rearrangements. The presence of these mutations is predictive of response to targeted therapies such as EGFR tyrosine kinase inhibitors (TKIs) and ALK TKIs. However, there are substantial challenges for the implementation of biomarker testing, particularly in emerging countries. Understanding the barriers to testing in NSCLC will be key to improving molecular testing rates worldwide and patient outcomes as a result. In this article, we review EGFR mutations and ALK rearrangements as predictive biomarkers for NSCLC, discuss a selection of appropriate tests and review the literature with respect to the global uptake of EGFR and ALK testing. To help improve testing rates and unify procedures, we review our experiences with biomarker testing in China, South Korea, Russia, Turkey, Brazil, Argentina and Mexico, and propose a set of recommendations that pathologists from emerging countries can apply to assist with the diagnosis of NSCLC.Entities:
Keywords: ALK testing; EGFR testing; FISH; immunohistochemistry; next-generation sequencing; non-small-cell lung cancer
Year: 2021 PMID: 34511936 PMCID: PMC8420791 DOI: 10.2147/OTT.S313669
Source DB: PubMed Journal: Onco Targets Ther ISSN: 1178-6930 Impact factor: 4.345
Mutation-Detection Assays (Eg EGFR, BRAF)
| Assay | Advantage | Disadvantage |
|---|---|---|
| Sanger sequencing (direct DNA sequencing) | Identification of all known and previously unknown mutations within the studied region | High tumor content required (mutation detected when allele frequency >25% total DNA [50% tumor content]) Low sensitivity |
| Allele-specific real-time PCR (targeted assays) | Allows rapid multiplex genotyping of specific known hotspot mutations More sensitive than Sanger (requires 5–10% of the starting tumor DNA) | Designed only to detect most frequent mutations Unable to detect mutations different from those included in the assay (low frequency or novel mutations) |
| NGS (massive parallel sequencing technology) | Detection of multiple genetic alterations (mutations, gene fusions, CNV), allowing the sequencing of large regions of the genome with higher sensitivity Can be performed by FFPE extraction and freshly collected tissue specimens | Effective implementation of NGS requires good-quality DNA and RNA (not always present in FFPE samples) Validation of panels can be expensive and difficult for some laboratories in low- or mid-income countries |
Note: Data from Mok et al.98 Abbreviations: CNV, copy-number variation; FFPE, formalin-fixed paraffin-embedded; NGS, next-generation sequencing; PCR, polymerase chain reaction; TAT, turnaround time.
Rearrangement-Detection Assays (Eg ALK, ROS1 Fusion)
| Assay | Advantage | Disadvantage |
|---|---|---|
| RT-PCR | High sensitivity High specificity Can be used on mRNA/cDNA to directly detect fusion genes | Not applicable for unknown partners High-quality of RNA is required (difficult to apply in long-term stored tissue and FFPE samples) Multiplexed assays are required to cover the large variety of fusion transcripts |
| FISH | Sensitive and specific Detects fusions irrespective of the fusion partner Break Apart assay Vysis CDx was established as a ‘gold standard’ to detect Allows use of archived FFPE tissue samples and all cytology samples | Unable to identify the specific gene fusion partner Interpretation requires specialized training The ‘break apart’ can be difficult to identify due to small physical separation of Testing is relatively costly and time-consuming Samples may not contain enough assessable cells to be properly interpreted The 15% cutoff and potential false-positive and false-negative signaling profiles may challenge interpretation |
| IHC | Widely available, relatively inexpensive Rapid TAT For | LDT IHC tests require careful validation |
| NGS | Same advantages as detailed for mutation studies There are some commercial lung cancer-specific fusion panels | Same disadvantages as detailed for mutation studies Good quality RNA is required |
Note: Data from Tsao et al.105Abbreviations: ALK, anaplastic lymphoma kinase; cDNA, circulating DNA; CDx, companion diagnostic test; FFPE, formalin-fixed paraffin-embedded; FISH, fluorescence in situ hybridization; IHC, immunohistochemistry; LDT, laboratory-developed test; mRNA, messenger RNA; NGS, next-generation sequencing; NSCLC, non-small-cell lung cancer; RT PCR, reverse transcriptase polymerase chain reaction; TAT, turnaround time.
US FDA-Approved Drugs and Companion Diagnostics for Advanced NSCLC
| Targeted Agent | Companion Diagnostic Test |
|---|---|
| Erlotinib | Cobas® EGFR Mutation Test v2 |
| Gefitinib | Therascreen EGFR RGQ PCR Kit |
| Afatinib | Therascreen EGFR RGQ PCR Kit |
| Osimertinib | Cobas® EGFR Mutation Test v2 |
| Crizotinib | Vysis |
| Ceritinib | Ventana |
| Alectinib | Ventana |
| Lorlatinib | Ventana |
Note: Adapted with permission from Schwartzberg L, Kim ES, Liu D, Schrag D. Precision oncology: who, how, what, when, and when not? Am Soc Clin Oncol Educ Book. 2017;37:160–16988 with data from these studies.106,193
Abbreviations: ALK, anaplastic lymphoma kinase; CDx, companion diagnostic test; EGFR, epidermal growth factor receptor; FDA, Food and Drug Administration; FISH, fluorescence in situ hybridization; NSCLC, non-small-cell lung cancer; PCR, polymerase chain reaction; RGQ, Rotor-Gene Q.
Testing Frequency for EGFR Mutations and/or ALK Rearrangements in Patients with Advanced NSCLC
| Testing Frequency | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Author | Period | Location | Method | No. Centers/HCPs | n | Overall, n (%) | Dx Tests | ||
| North America | |||||||||
| Pan | 2007–2011 | USA | RR | iKnowMedTMdatabasea | 1168 | 128 (11%) 2% <2010; 32% in 2011 | 28 (2%) | ||
| Enewold | 2010 | USA | RR | SEER Databaseb | 1358 | 228 (17%) 157 (21%) in AdC | |||
| MacLean | 2010–2012 | USA | RR | Humana Research Database | 2623 | 1579 (61%) | |||
| Lim | 2010–2013 | CAN | RR | 1 center | 258c | 150 (58%) | 50 (19%) | IHC/FISH/NGS | |
| Shen | 2013–2014 | USA | RR | Marketscan Databased | 5842 | 1039 (18%) | 1039 (18%) | ||
| Gutierrez | 2013–2015 | USA | RR | 15 centers/89 oncol. | 814 | 479 (59%) | PCR/FISH/NGS | ||
| Schink | 2014 | USA | S | 57 centers | NA | 57 (100%) | 57 (100%) | 57 (100%) | |
| Illei | 2011–2017 | USA | RR | Flatiron Health Database | 31,483 | 16,726 (53%) 32% 2011; 62% 2016 | |||
| South America | |||||||||
| Palacio | 2011–2016 | BRA | RR | All public and private settings | 11,684 | 4440 (38%) 13% 2011; 42% 2016 | SS | ||
| Europe | |||||||||
| Sluga | 2008–2014 | NL | RR | 4 centers | 2206 | 879 (40%)e 11% 2008; 75% 2014 | |||
| Ess | 2008–2014 | SUI | RR | 1 center | 718 | 447 (62%) | 265 (37%) | ||
| Don-Carolis | 2014 | UK | S | 15 centers | 23,131f | 12,140 (53%) | 12,140 (53%) includes both | ||
| Gobbini | 2014–2015 | ITL | OS | 38 centers | 1787 | 1388 (78%) | 1353 (76%) | 942 (53%) | |
| Ryska | 2014–2015 | Central, Eastern Europeg | S | 42 oncol. | NA | 75–100% | |||
| Middle East | |||||||||
| Bar | 2013 | ISR | S | 24 oncol. | 19 (79.2%) | ||||
| Asia-Pacific | |||||||||
| McKeage | 2010–2016 | NZ | OS | All non-SCC NSCLC from Auckland, Manukau, Waitemata and Northland | 3130 | 407 (13%) | Vysis break apart FISH | ||
| Yatabe | 2011–2012 | Asia-Pac | RR | 40 centers/11 countriesh | 22,193 | 18% (CHN) – 65% (JPN)i | DNA sequencing. 75% – IHC (poorly differentiated samples) | ||
| Hotta | 2012 | JPN | S | 871 oncol. | NA | 775 (89%) | 525 (60%) | ||
| Isobe | 2011–2013 | JPN | RR | 5 centers | 129c | 105 (81%) | 105 (81%) | 25 (19%) | |
| Zhou | 2015–2016 | CHN | RR | 12 centers | 932 | 665 (71%) | 416 (45%) | ||
| Prabhash | 2015–2016 | IND | INTV | 111 oncol. | NA | 105 (95%) | 105 (95%) | ||
| International | |||||||||
| Lee | 2011–2013 | INT | RR | 78 centers/8 countriesj | 1440 | 43% (BRA) – 85% (TW) | 41% (DE) – 97% (TW)j | 3% (TW) – 27% (ITL) | |
| Peters | 2014–2016 2016–2016 | INT | 2 surveysk | S1: 562 oncol.l | NA | 450 (80%) | |||
| Jankovic | 2017–2018 | INT | S | 36 oncol./18 countriesn | NA | 90% guided by test results | 85% | 58% | PCR 60%; SS 26%; NGS 26%; FISH 26%; IHC 16% |
Notes:aCaptures demographic, clinical, laboratory and treatment data for patients receiving care within US Oncology’s network of approximately 1200 community-based oncologists. bRandom selection of patients with NSCLC in the SEER Database. cData are reported for patients with non-SCC only. dMarketscan Database contains health insurance claims for 50 million individuals from >100 large- or medium-sized US-based employers. e853 patients had NSCLC-NOS or AdC, 26 had SCC. fPatients eligible for an EGFR diagnostic test. gBulgaria, Croatia, Czech Republic, Israel, Slovakia, Slovenia, Poland, Hungary, Turkey. hChina, Hong Kong, Indonesia, Japan, South Korea, Malaysia, Philippines, Singapore, Taiwan, Thailand and Vietnam. iData not provided by Indonesia, Malaysia, Singapore, the Philippines or Vietnam. jItaly (69%), Spain (56%), Germany (41%), Australia (64%), Japan (81%), South Korea (44%), Taiwan (97%) and Brazil (81%). kTwo surveys, 18 months apart. lCanada, France, Germany, Italy, Japan, South Korea, Spain, Taiwan, UK and USA. mSurvey 2 included physicians from China. nPortugal, Serbia, Morocco, UK, Azerbaijan, Uzbekistan, Peru, Brazil, Kuwait, France, Spain, Austria, Estonia, Belgium, Montenegro, Nigeria, USA and Poland.
Abbreviations: AdC, adenocarcinoma; ALK, anaplastic lymphoma kinase; BRA, Brazil; CAN, Canada; CHN, China; DE, Germany; Dx, diagnostic; EGFR, epidermal growth factor receptor; FISH, fluorescence in situ hybridization; HCP, healthcare professional; IHC, immunohistochemistry; IND, India; INT, international; INTV, interview; ITL, Italy; ISR, Israel; JPN, Japan; NA, not available; NGS, next-generation sequencing; NL, Netherlands; NOS, not otherwise specified; NR, not reported; NSCLC, non-small-cell lung cancer; NZ, New Zealand; oncol, oncologist; OS, observational study; Ref, reference; RR, retrospective review; RT PCR, reverse transcriptase polymerase chain reaction; S, survey; SCC, squamous cell carcinoma; SD, standard deviation; SEER, Surveillance Epidemiology and End Results; SS, Sanger sequencing; SUI, Switzerland; TAT, turnaround time; TW, Taiwan; UK, United Kingdom; USA, United States of America.
Potential Barriers to Biomarker Testing
| Access to targeted therapies |
| Reimbursement for testing |
| Tissue sample quality |
| TAT for test results |
| Coordination among multiple specialist groups |
| Accurate interpretation of results/physician education |
Abbreviation: TAT, turnaround time.