Abstract
Simple Summary
The number of druggable tumor-specific molecular alterations in the treatment of non-small cell lung cancer (NSCLC) has grown significantly in the past decade. Emerging technologies such as liquid biopsy and single-cell methods allow for studying targetable drivers and develop personalized treatments. However, although new therapies confer prolonged disease control and high tumor response rates, most patients eventually progress on targeted treatments. Intratumoral heterogeneity is a frequent event in NSCLC, driving the tumor cells to develop adaptive or new resistance mechanisms within the drug environment. This review summarizes the current and upcoming research on the biological role of tumor heterogeneity, highlighting the link between early and acquired drug resistance and tumoral heterogeneity in targetable driver mutated NSCLC.
Abstract
Tailored therapies based on the identification of molecular targets currently represent a well-established therapeutic scenario in the treatment of non-small cell lung cancer (NSCLC) patients. However, while aiming to improve patients’ response to therapy, development of resistance is frequently observed in daily clinical practice. Intratumoral heterogeneity is a frequent event in NSCLC, responsible for several critical issues in patients’ diagnosis and treatment. Advances in single-cell sequencing technologies have allowed in-depth profiling of tumors and attributed intratumoral heterogeneity to genetic, epigenetic, and protein modification driven diversities within cancer cell populations. This review highlights current research on the biological role of tumor heterogeneity and its impact on the development of acquired resistance in NSCLC patients.
Keywords: non-small cell lung cancer, NSCLC, tumor heterogeneity, genomic instability, targeted agents
1. Introduction
The genomic instability of tumors favors the onset of stochastic mutations in oncogenes and tumor suppressors, thus promoting heterogeneity and contributing to cancer evolution. Not all molecular alterations observed are drivers that are responsible for cancer cell survival [1,2]. In most cases, they are passengers that do not promote cancer progression. In cancer cells, clonal and subclonal mutations coexist. The former occur early in the tumorigenesis process, and represent the trunk of a tumor’s phylogenetic tree; the latter appear later, are responsible for progression, and are observed on the branches. In 96% of cases, the molecular alterations that develop in driver genes are clonal.
Genetic differences have been found between the primary tumors and the metastatic lesions [3], even though 95% of the mutations observed in driver genes are detected both in the primary and metastatic sites. Profiling of samples from patients with renal cell carcinoma [4] has shown differences in terms of mutations and chromosomal imbalances between the primary tumor and the metastases, thus confirming the existence of intratumor heterogeneity. Moreover, DNA copy number assessments have identified significant inter-tumor heterogeneity of brain metastasis (BM) compared to the primary lung cancer lesion in non-small cell lung cancer (NSCLC) [5,6]. Several mechanisms favor the development of tumor heterogeneity, including the proliferation of stem cells within tumors, genomic and chromosomal instability, epigenetic modifications, and the activation of mechanisms in response to a microenvironment [7].
The introduction of targeted agents in the therapeutic armamentarium of patients with cancer has significantly improved their rates of survival [8,9,10]. However, despite the progress observed with precision medicine approaches and the high objective response rate observed in molecularly defined subgroups of patients with tumors, complete responses are uncommon, and progression of residual disease occurs [11]. Tumor heterogeneity represents the molecular basis responsible for primary and acquired drug resistance [12].
In the current review, we will provide an overview of the role of tumor heterogeneity in patients with NSCLC, a disease in which the molecular characterization has become an essential requirement for defining the treatment strategy. The practice of performing re-biopsies following progression has helped to molecularly characterize the population of quiescent drug-tolerant cells and to identify the alternative pathways and survival signals activated. Moreover, the use of next generation sequencing (NGS) to perform comprehensive molecular characterization has significantly contributed to our understanding of the molecular basis of intratumor heterogeneity and better define patient prognosis.
This review will focus on the differences in molecularly defined subgroups of patients with NSCLC and how these differences influence treatment outcomes and patient survival. In particular, we will discuss KRAS and EGFR mutated, as well as EML4-ALK-rearranged, NSCLC, in which intratumoral heterogeneity has been studied as a mechanism of resistance to treatments.
2. Heterogeneity in Histology in NSCLC
Genome-wide sequencing analyses have revealed an average of approximately 150 somatic mutations in patients with lung cancer [13]. Lung cancer is one of the tumors with the highest frequencies of non-synonymous mutations [14], probably due to the carcinogenic stimulus induced by tobacco. NSCLC, which accounts for approximately 80% of lung tumors, is a heterogeneous disease at the histological and molecular level [15]. NSCLC is classified into different histologies, the most common being epidermoid carcinomas and adenocarcinomas, followed by large cell carcinomas, large cell neuroendocrine carcinomas, adenosquamous carcinomas, squamous carcinomas, and sarcomatoid and pleomorphic carcinomas. This heterogeneity is the result of the different cells of origin and the different molecular pathways activated [16].
Squamous cell carcinomas arise from the basal cells located in the respiratory epithelium, and are generally observed in smokers. The sequence of events inducing the development of a squamous tumor includes the onset of hyperplasia in basal cells, followed by metaplasia, dysplasia, and finally resulting in a squamous carcinoma. Specific molecular alterations accumulate during each step of the tumorigenesis, and lead to the growth of more aggressive lesions [17]. Mutations in PI3KCA, SOX2, CDK2, P63, PTEN, Rb1, CDKN2A and DDR2 genes, along with amplification of the FGFR1 and MET genes, are frequently detected in patients with squamous lung tumors [16,18,19].
Lung adenocarcinomas may develop in smokers and non-smokers, but tobacco as a risk factor can affect tumor biology. Adenocarcinomas originate from the cells located within the terminal respiratory unit, where the expression of markers such as CK7 and TTF1 are generally found. In the case of less differentiated lung adenocarcinomas, CK20 or markers from colic-like origin may be detected. The type of the cells of origin, the grade of differentiation, and the molecular alterations emerging in the course of carcinogenesis result in the generation of different subtypes of lung adenocarcinoma. Three patterns are observed according to the cellular organization: the papillary, the solid, and another including the acinar, the lepidic, and the micropapillary [20], as reported in Table 1 and Figure 1a,b. Figure 1 also shows the differences between tissue (c) and liquid biopsy (d). Lower TTF1 expression is observed in those tumors with papillary or solid patterns compared with the acinar, the lepidic, and the micropapillary. Higher levels of HER2 and lower ERCC1 expression are found in the papillary subtype, where defects in the DNA repair system have a pathogenetic role. Conversely, lower HER2 and higher EGFR and ERCC1 expression are detected in those adenocarcinomas with a solid pattern, which are less differentiated tumors.
Table 1.
PATTERN | IHC Markers |
---|---|
Papillary | low TTF1, high HER2, low ERCC1 |
Solid | low TTF1, low HER2, high ERCC1, high EGFR |
Acinar, lepidic, micropapillary | high TTF1, high RB1 |
Thanks to the use of NGS panels, concurrent molecular alterations have been described in molecularly selected classified lung tumors, thus further increasing the complexity of NSCLC biology. These molecular alterations contribute to the emergence of tumor heterogeneity, which in turn impacts patient prognosis and sensitivity to treatment.
3. Heterogeneity in KRAS Mutated NSCLC Patients
Mutations in KRAS are the most frequently observed molecular alterations in patients with lung adenocarcinoma, accounting for approximately 30% of cases [21]. They are located in the GTP-binding protein (GAP), where their presence inhibits guanosine-5’-triphosphate (GTP) hydrolysis. As a consequence, the constitutive activation of the downstream pathways occurs [22]. KRAS mutations are observed in codons 12, 13, and 61. According to the amino acid substitutions, different intracellular signaling pathways are activated, thus influencing the pathogenesis of KRAS mutant NSCLC [23].
KRAS mutant NSCLCs are heterogeneous tumors, due to the presence of co-occurring alterations in genes other than KRAS [24]. Based on transcriptional, mutational, copy number, and proteomic data, KRAS mutated NSCLC patients are classified into three groups: one, including co-mutations in TP53 (KP); a second carrying inactivating mutations in the tumor suppressor liver kinase b1 (LKB1) (KL); and a third, with bi-allelic deletions of two tumor suppressor genes, CDKN2A and CDKN2B (KC) [24]. Within the three subgroups, no correlation has been observed with the KRAS mutant alleles. However, a correlation has been found between patient prognosis and response to treatment. Patients included in the KP group show a higher mutational burden, increased expression of genes involved in the immunological response, and increased activation of the JAK-STAT pathway compared to the other subtypes’ patients.
Conversely, in those harboring LKB1 mutations, the immune response is negatively affected, while in those carrying CDKN2A or CDKN2B alterations, low levels of TTF1, with a high expression of markers of mucinous differentiation, have been detected. Results from a retrospective analysis performed in patients with KRAS mutant NSCLC receiving immune checkpoint inhibitors demonstrated a significantly lower response rate (7.4% vs. 35.7%) and shorter progression free survival (PFS) and overall survival (OS) in those patients included in the KL subgroup compared with those in the KP subgroup [25]. These results were confirmed in a further retrospective analysis performed in KRAS mutant patients enrolled in the phase III CheckMate 057 trial, comparing nivolumab with docetaxel. Whole exome sequencing and the study of the tumor microenvironment in surgically resected specimens of NSCLC patients demonstrated low PDL1 expression, and a low percentage of CD3+ and CD8+ T-lymphocytes in LKB1 mutated patients. Preclinical findings showed the hyper activation of the MEK/ERK pathway in mice carrying the KRAS mutation only and in those with concurrent TP53 mutation, while a higher stimulation of AKT and SRC was observed in those harboring concomitant LKB1 mutation. These genetic differences might have an impact on treatment outcome. Docetaxel alone or in combination with the MEK inhibitor selumetinib [26] resulted in lower efficacy in KRAS mutant mice harboring LKB1 or TP53 mutations, compared with those carrying KRAS mutations only. Conversely, selumetinib improved the response in those with TP53 mutations, but not in those with LKB1 alterations. LKB1 inactivating mutations are observed in approximately 30% of patients with lung adenocarcinoma, and more frequently in those with KRAS mutant NSCLC [27]. In a retrospective analysis, concomitant KRAS and LKB1 mutations were associated with worse patient prognosis [28]. However, novel therapeutic inhibitors for KRAS treatments are undergoing clinical trials [29]. Recently, sotorasib has been demonstrated to be effective in patients with NSCLC harboring KRAS G12C mutations [29]. A phase III study comparing sotorasib with docetaxel in previously treated patients with advanced NSCLC has recently been conducted.
The heterogeneous biology observed in KRAS mutant NSCLC partially explains the difficulties experienced in developing efficient therapies targeting the KRAS gene. These data suggest the importance of performing a comprehensive molecular classification in the clinical trials exploring new agents targeting KRAS mutations in order to establish their activity in molecularly defined subgroups, better define patient prognosis, and eventually develop combinatorial approaches.
4. Heterogeneity in EGFR Mutated NSCLC
Somatic activating mutations in the tyrosine kinase domain of the EGFR gene are observed in 15% of patients with lung adenocarcinoma, and more frequently in those with lepidic and acinar subtypes [30,31,32], with exon 19 deletion (62%) and L858R point mutation in exon 21 (38%) being the most common. Results from prospective clinical trials comparing EGFR-TKIs with platinum-doublet chemotherapy showed shorter PFS in patients carrying EGFR L858R exon 21 mutation compared with those harboring exon 19 deletion [33]. The molecular basis of this clinical behavior is partly dependent on the higher somatic mutation burden identified by NGS in patients with exon 21 mutation compared with those with exon 19 deletion [34]. These findings suggest that heterogeneous preexisting sub-clones emerge under the pressure of the treatment, thus contributing to the development of resistance mechanisms and the poor prognosis observed in patients with exon 21 mutation. However, the mechanism behind how existing clones influence the initial response to primary TKI treatment is not fully understood. Intrinsic resistance resulting in inefficacy of anti-EGFR TKIs has recently been associated with the presence of co-occurring non-sensitive EGFR mutations [35,36,37]. Moreover, the role of other cancer driver gene co-mutations in intrinsic resistance has been addressed in several studies [38].
Results from the sequencing of 200 patients with advanced EGFR mutated NSCLC identified co-occurring mutations in TP53, PIK3CA, catenin beta-1 (CTNNB1), and RB1 [39]. Several alterations in TP53 were found, although their functional role remains unclear. However, shorter OS and PFS were observed in patients with TP53 mutations, while loss of function mutations in TP53 and RB1, occurring in nine percent of EGFR mutated cases, is associated with an increased risk of transformation into small cell lung cancer (SCLC). Concomitant amplification of mesenchymal-epithelial transition factor (MET) or ERBB2 genes significantly reduces PFS in patients receiving epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) [39].
Tumor re-biopsies performed in EGFR mutated NSCLC patients at the time of progression to erlotinib, gefitinib, afatinib, or osimertinib have documented several mechanisms of acquired resistance [40,41,42,43], including transformation to SCLC, the emergence of secondary resistance mutations able to interfere with drug binding, the activation of alternative signaling pathways, and mesenchymal changes in the tumor phenotype (Table 2). EGFR T790M mutation in exon 20 is the most common acquired resistance mechanism to first and second generation EGFR-TKIs. However, EGFR T790M has also been documented on pretreatment tumor samples in a subgroup of patients [44], thus suggesting the existence of sub-clones before the beginning of treatment. Shorter PFS was reported in those patients with co-occuring EGFR sensitizing mutations and exon 20 EGFR T790M mutation. Although a baseline EGFR T790M mutation was not analyzed in the phase III FLAURA trial [45] comparing erlotinib or gefitinib with osimertinib, the significantly longer PFS and OS registered in the osimertinib patients might be partially explained by its effective inhibition of baseline EGFR T90M sub-clones.
Table 2.
Mechanism of Resistance | Drug Resistant | ||
---|---|---|---|
EGFR—dominant mechanisms | exon 20 EGFR T790M mutation | erlotinib gefitinib afatinib |
|
EGFR C797S | osimertinib | ||
G724S | |||
L718Q | |||
EGFR—non-dominant mechanisms | bypass signaling pathways | MET amplification | erlotinib gefitinib afatinib osimertinib |
SCLC transformation | - | erlotinib gefitinib afatinib osimertinib |
|
activation of bypass signaling pathways (concomitant with loss of EGFR T790M) | PIK3CA, KRAS, BRAF mutations, RET, FGFR3, BRAF and ALK fusion | osimertinib |
Similarly to the molecular findings observed in patients progressing on gefitinib and erlotinib, results from tumor re-biopsy and NGS analysis performed on tissue DNA and circulating tumor DNA in patients progressing on osimertinib identified secondary mutations interfering with drug binding, the most frequent being EGFR C797S [41,42,43,46]. Moreover, the loss of EGFR T790M [47] and the activation of bypass signaling pathways, including MET amplification, PIK3CA, KRAS, BRAF mutations, RET [48], FGFR3, and BRAF and ALK fusions, were described. Longer responses were registered in those patients receiving osimertinib as second line treatment following progression to first-generation EGFR-TKIs who maintained EGFR T790M in the course of osimertinib compared with those in which EGFR T90M was lost. The loss of EGFR T790M suggests the emergence of alternative mechanisms of acquired resistance, as the result of a more heterogeneous tumor with a more aggressive phenotype.
In conclusion, the understating of the molecular basis of tumor heterogeneity in EGFR mutated NSCLC patients is crucial for designing combinatorial approaches targeting the bypass signaling pathways, preventing the onset of resistance mechanisms, and prolonging patient survival.
5. Heterogeneity in EML4-ALK Rearranged NSCLC
EML4-ALK translocations are observed in 5% of patients with lung adenocarcinoma, more frequently in those with the acinar, solid, or signet cell patterns [49]. EML4-ALK is a chimeric protein with oncogenic activity. It derives from a rearrangement occurring between the N-terminal portion of the EML4 gene and the tyrosine kinase domain of the ALK gene [50]. According to the exon where the EML4 breakpoint occurs (exons 2, 6, 13, 14, 15, 17, 18, and 20), at least 21 variants have been reported [51,52,53], the most common being variant 1 and variants 3a/b, consisting of exons 1–13 and 1–6 of EML4, respectively [49,54,55]. Additional fusion partners of ALK have been identified, including TGF, KLC1, and KIKF5B [56]. In all cases, the ALK truncation occurs at exon 20, and the portion of the ALK gene included in the fusions involves the region between exons 20–29. Although the oncogenic transformation of EML4-ALK rearrangement is the result of the constitutive activation of tyrosine kinase domain of the ALK gene, EML4 influences the protein stability and the activated downstream pathways. Variants 1 and 2 are less stable compared with variants 3a/b and 5, thus affecting their sensitivity to therapy [57,58]. Preclinical findings suggest that oncogenic EML4-ALK fusion activates ALK, STAT3, ERK, and AKT signaling [59].
Among these pathways, RAS seems to be the most commonly activated, thus contributing to the development of resistance. Conversely, in variant 3, RAS signaling is not activated, and alternative resistance mechanisms emerge.
As observed in KRAS and EGFR mutated NSCLC, in EML4-ALK positive patients, concurrent mutations in the TP53 gene have been reported. TP53 mutations have been associated with genomic instability and concomitant amplifications in different genes, including MYC, CCND1, TERT, BIRC2, ORAOV1, and YAP1 [60]. Moreover, a shorter duration of response to crizotinib and a poorer survival rate [61] were documented in this subgroup of patients, probably because the genetic instability led to a heterogeneous disease, that favor the onset of multiple acquired resistance mechanisms.
Three generations of ALK inhibitors have been developed during the last 10 years: crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib. These compounds have been designed with the aim of overcoming the ALK secondary mutations that develop in the course of treatment with the previous generation of ALK inhibitors and of improving blood brain barrier penetration.
As observed in EGFR mutated patients, the resistance mechanisms to ALK inhibitors include the onset of secondary mutations in the tyrosine kinase domain of the ALK gene, the development of mechanisms that prevent drug binding, ALK amplification, and the activation of alternative pathways (Table 3). Different secondary mutations have been identified following treatment with crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib. Consecutive tumor re-biopsies performed in patients receiving ALK inhibitors sequentially allowed the molecular basis for tumor evolution in EML4-ALK NSCLC to be determined [62]. Among 55 patients progressing on crizotinib, ALK secondary mutations were identified in 20% of cases, while in ceritinib resistant tumors and in alectinib resistant samples, secondary ALK mutations were observed in 54% and 53% of cases, respectively. Ninety-one percent of those patients receiving ceritinib, and 100% of those progressing on alectinib, had been previously treated with crizotinib as afirst-line treatment. These findings suggest that ALK secondary mutations accumulate over the course of treatment due to the proliferation of resistant sub-clones, thus favoring the development of more heterogeneous tumors. Among the secondary ALK mutations currently identified, L1196M, G1269A, S1206Y, F1145C, and S1206Y are associated with resistance to crizotinib, but with sensitivity to ceritinib and alectinib [63,64,65,66,67]. C1156Y and F1174L confer sensitivity to alectinib, but not to ceritinib, while I1171T is sensitive to ceritinib, but not to alectinib [68]. Finally, G1202R causes resistance to crizotinib, ceritinib and alectinib, but not to brigatinib and lorlatinib [69,70,71]. However, a recent report, identified primary resistance to brigatinib in NSCLC patients carrying an ALK G1202R mutation [72]. These data confirm the importance of performing tumor re-biopsy at the time of progression to define the molecular basis of resistance and define a personalized treatment strategy.
Table 3.
Mechanism of Resistance | Drug Resistant | |
---|---|---|
ALK—dominant mechanisms | L1196M | crizotinib |
G1269A | crizotinib | |
G120R | crizotinib, ceritinib, alectinib | |
S1206Y | crizotinib | |
L1152R | crizotinib | |
F1147L | crizotinib, ceritinib | |
F1245C | crizotinib | |
I1171T (N) | alectinib | |
F1174C(V) | ceritinib | |
G1123S | ceritinib | |
V1180L | alectinib | |
L1198F + C1156Y | lorlatinib | |
ALK—non-dominant mechanisms | EGFR mutations | crizotinib |
KRAS mutations | ||
KIT amplification | ||
p EGFR | ceritinib | |
IGF-1R | ||
HER3 | ||
p EGFR | alectinib | |
p HER2 | ||
IGF-1R | ||
SCLC transformation |
Alternative signaling pathways might emerge in the case of ALK inhibitors. EGFR, KRAS mutations, and KIT amplification were observed in patients progressing on crizotinib [73,74]. Preclinical data indicate the hyper activation of EGFR, IGF-1R, and HER3 in NSCLC cell lines with acquired resistance to ceritinib [75], and an increase in phosphorylation of EGFR, HER2 [68], and IGF-1R in NSCLC cell lines with acquired resistance to alectinib.
Comparable to EGFR mutated NSCLC, conversion from adenocarcinoma to SCLC has been documented in a patient progressing on alectinib [76], thus confirming that histology transformation represents an escape mechanism in molecularly defined subgroups of NSCLC patients receiving a targeted agent.
6. SCLC Transformation
Transformation to SCLC is observed in approximately 5–14% of patients with lung adenocarcinoma carrying EGFR activating mutations [77,78,79]. Histological conversion has also been observed in EML4-ALK positive patients and in patients with lung adenocarcinoma and no targetable molecular alterations [77]. The pathogenetic basis of this phenomenon is not fully understood yet, but tumor heterogeneity has a pivotal role. Phenotypical epithelial-mesenchymal transition was described in a 38-year old male harboring secondary ALK and p.V600E BRAF mutations [80].
Mutations in RB1 and TP53 genes also seem to play an important role. Results from longitudinal tumor biopsies in a subgroup of EGFR mutated patients indicate that inactivation of RB1 and TP53 occurs early in adenocarcinoma cells [81] and may involve the alveolar type II cells. These sub-clones coexist in a dormant state and proliferate slow. No molecular alterations known to induce resistance to EGFR-TKIs have been identified in these sub-clones, thus suggesting the divergent evolutionary nature of SCLC transformation. However, the apolipoprotein B mRNA editing catalytic polypeptide-like (APOBEC)-mutational signature, which confers genetic instability, has been observed. As a consequence, hypermutation favors the proliferation of SCLC sub-clones, the onset of mutations in PIK3CA, the amplification of the MYC gene, or the loss of heterozygosity of chromosomes 13 and 17. These events contribute to the development of aggressive tumors.
7. Discussion and Future Directions
Our understanding of the molecular basis of NSCLC has allowed us to identify specific subgroups of molecularly defined lung tumors. The development of drugs designed to specifically inhibit these pathways has significantly prolonged patient survival. However, despite the high overall response rate and increased PFS and OS, complete responses are rare, and acquired resistance mechanisms inevitably emerge, resulting in tumor progression. Intratumoral heterogeneity is a frequent event in NSCLC, and represents the molecular keystones for tumor recurrence.
The use of NGS and sequential re-biopsies in patients progressing on targeted therapies have significantly contributed, in some cases, to defining the temporal acquisition of mutations and shedding light on the molecular determinants of NSCLC heterogeneity. The advances in the comprehension of NSCLC pathogenesis have resulted in important clinical implications.
First, the identification of concomitant alterations in subgroups of molecularly classified patients has helped to better characterize NSCLC biology, define patient prognosis, and establish new therapeutic strategies. Interpreting NGS data and determining the biological function and impact of co-occurring alterations requires further study. The building of centralized databases, including clinical and molecular data, will help to address this issue. In the last 20 years, we have moved from a classification based on histology to a molecular classification, where the identification of molecular alterations in targetable driver genes has become helpful in guiding therapy. Now we have entered into an era in which we are learning about the clinical impact of molecularly sub-classifying patients. In this scenario, the interaction between tumor microenvironments and immune cells remains to be further addressed.
Among the strategies applied to target intratumor heterogeneity, local treatments, including surgery or radio surgery, have been used, especially in those patients with oligo-metastatic disease, with the aim of eliminating the quiescent surviving cells that are not responding to treatment and may be responsible for progression.
All these data suggest that the complexity of the entire tumor may not be represented by a single tissue biopsy. Methods able to molecularly characterize circulating tumor DNA (ctDNA) have been introduced in clinical practice. ctDNA shedding by certain cancer cell types, analyzed by NGS, might help to determine the genetic composition of heterogeneous cancer sub-clones. Similarly, the isolation of circulating tumor cells (CTC), and their culture to generate CTC-derived models might be useful for defining the mediators of resistance and design strategies to overcome them.
Acknowledgments
We want to thank Alliance Against Cancer.
Author Contributions
V.G. conceived the study; C.L. collected data; all authors wrote and revised the manuscript; S.I. created the image. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Lawrence M.S., Stojanov P., Mermel C.H., Robinson J.T., Garraway L.A., Golub T.R., Meyerson M., Gabriel S.B., Lander E.S., Getz G. Discovery and Saturation Analysis of Cancer Genes across 21 Tumour Types. Nature. 2014;505:495–501. doi: 10.1038/nature12912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kandoth C., McLellan M.D., Vandin F., Ye K., Niu B., Lu C., Xie M., Zhang Q., McMichael J.F., Wyczalkowski M.A., et al. Mutational Landscape and Significance across 12 Major Cancer Types. Nature. 2013;502:333–339. doi: 10.1038/nature12634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Yachida S., Jones S., Bozic I., Antal T., Leary R., Fu B., Kamiyama M., Hruban R.H., Eshleman J.R., Nowak M.A., et al. Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer. Nature. 2010;467:1114–1117. doi: 10.1038/nature09515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gerlinger M., Rowan A.J., Horswell S., Math M., Larkin J., Endesfelder D., Gronroos E., Martinez P., Matthews N., Stewart A., et al. Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing. N. Engl. J. Med. 2012;366:883–892. doi: 10.1056/NEJMoa1113205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Li L., Chen Y., Tian H., Zhou D., Zhou D., Lin X., Yin K., Feng H., Guo W., Xie Z., et al. P1.01-28 Mutational Heterogeneity Between Primary Pulmonary Cancer Lesions and Matched Brain Metastases. J. Thorac. Oncol. 2019;14:S367. doi: 10.1016/j.jtho.2019.08.743. [DOI] [Google Scholar]
- 6.Nicoś M., Garnerone S., Harbers L., Kowalczyk A., Bożyk A., Peksa R., Jarosz B., Perdyan A., Sawicki M., Duchnowska R., et al. P2.01-66 Genomic Landscapes of DNA Copy Number Alterations in Primary Lung Cancers and Matched Brain Metastases. J. Thorac. Oncol. 2019;14:S665–S666. doi: 10.1016/j.jtho.2019.08.1409. [DOI] [Google Scholar]
- 7.Dagogo-Jack I., Shaw A.T. Tumour Heterogeneity and Resistance to Cancer Therapies. Nat. Rev. Clin. Oncol. 2018;15:81–94. doi: 10.1038/nrclinonc.2017.166. [DOI] [PubMed] [Google Scholar]
- 8.Ramalingam S.S., Vansteenkiste J., Planchard D., Cho B.C., Gray J.E., Ohe Y., Zhou C., Reungwetwattana T., Cheng Y., Chewaskulyong B., et al. Overall Survival with Osimertinib in Untreated, EGFR-Mutated Advanced NSCLC. N. Engl. J. Med. 2020;382:41–50. doi: 10.1056/NEJMoa1913662. [DOI] [PubMed] [Google Scholar]
- 9.Mok T., Camidge D.R., Gadgeel S.M., Rosell R., Dziadziuszko R., Kim D.-W., Pérol M., Ou S.-H.I., Ahn J.S., Shaw A.T., et al. Updated Overall Survival and Final Progression-Free Survival Data for Patients with Treatment-Naive Advanced ALK-Positive Non-Small-Cell Lung Cancer in the ALEX Study. Ann. Oncol. 2020;31:1056–1064. doi: 10.1016/j.annonc.2020.04.478. [DOI] [PubMed] [Google Scholar]
- 10.Kris M.G., Johnson B.E., Berry L.D., Kwiatkowski D.J., Iafrate A.J., Wistuba I.I., Varella-Garcia M., Franklin W.A., Aronson S.L., Su P.-F., et al. Using Multiplexed Assays of Oncogenic Drivers in Lung Cancers to Select Targeted Drugs. JAMA. 2014;311:1998–2006. doi: 10.1001/jama.2014.3741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bivona T.G., Doebele R.C. A Framework for Understanding and Targeting Residual Disease in Oncogene-Driven Solid Cancers. Nat. Med. 2016;22:472–478. doi: 10.1038/nm.4091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bozic I., Reiter J.G., Allen B., Antal T., Chatterjee K., Shah P., Moon Y.S., Yaqubie A., Kelly N., Le D.T., et al. Evolutionary Dynamics of Cancer in Response to Targeted Combination Therapy. eLife. 2013;2:e00747. doi: 10.7554/eLife.00747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Govindan R., Ding L., Griffith M., Subramanian J., Dees N.D., Kanchi K.L., Maher C.A., Fulton R., Fulton L., Wallis J., et al. Genomic Landscape of Non-Small Cell Lung Cancer in Smokers and Never-Smokers. Cell. 2012;150:1121–1134. doi: 10.1016/j.cell.2012.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lawrence M.S., Stojanov P., Polak P., Kryukov G.V., Cibulskis K., Sivachenko A., Carter S.L., Stewart C., Mermel C.H., Roberts S.A., et al. Mutational Heterogeneity in Cancer and the Search for New Cancer-Associated Genes. Nature. 2013;499:214–218. doi: 10.1038/nature12213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Rosell R., Karachaliou N. Large-Scale Screening for Somatic Mutations in Lung Cancer. Lancet. 2016;387:1354–1356. doi: 10.1016/S0140-6736(15)01125-3. [DOI] [PubMed] [Google Scholar]
- 16.de Sousa V.M.L., Carvalho L. Heterogeneity in Lung Cancer. Pathobiology. 2018;85:96–107. doi: 10.1159/000487440. [DOI] [PubMed] [Google Scholar]
- 17.Sousa V., Espírito Santo J., Silva M., Cabral T., Alarcão A.M., Gomes A., Couceiro P., Carvalho L. EGFR/ErB-1, HER2/ErB-2, CK7, LP34, Ki67 and P53 Expression in Preneoplastic Lesions of Bronchial Epithelium: An Immunohistochemical and Genetic Study. Virchows Arch. 2011;458:571–581. doi: 10.1007/s00428-011-1062-5. [DOI] [PubMed] [Google Scholar]
- 18.Behrens C., Lin H.Y., Lee J.J., Raso M.G., Hong W.K., Wistuba I.I., Lotan R. Immunohistochemical Expression of Basic Fibroblast Growth Factor and Fibroblast Growth Factor Receptors 1 and 2 in the Pathogenesis of Lung Cancer. Clin. Cancer Res. 2008;14:6014–6022. doi: 10.1158/1078-0432.CCR-08-0167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Soldera S.V., Leighl N.B. Update on the Treatment of Metastatic Squamous Non-Small Cell Lung Cancer in New Era of Personalized Medicine. Front. Oncol. 2017;7:50. doi: 10.3389/fonc.2017.00050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sousa V., Bastos B., Silva M., Alarcão A.M., Carvalho L. Bronchial-Pulmonary Adenocarcinoma Subtyping Relates with Different Molecular Pathways. Rev. Port. Pneumol. 2015;21:259–270. doi: 10.1016/j.rppnen.2014.05.006. [DOI] [PubMed] [Google Scholar]
- 21.Dearden S., Stevens J., Wu Y.-L., Blowers D. Mutation Incidence and Coincidence in Non Small-Cell Lung Cancer: Meta-Analyses by Ethnicity and Histology (MutMap) Ann. Oncol. 2013;24:2371–2376. doi: 10.1093/annonc/mdt205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Scheffzek K., Ahmadian M.R., Kabsch W., Wiesmüller L., Lautwein A., Schmitz F., Wittinghofer A. The Ras-RasGAP Complex: Structural Basis for GTPase Activation and Its Loss in Oncogenic Ras Mutants. Science. 1997;277:333–338. doi: 10.1126/science.277.5324.333. [DOI] [PubMed] [Google Scholar]
- 23.Ihle N.T., Byers L.A., Kim E.S., Saintigny P., Lee J.J., Blumenschein G.R., Tsao A., Liu S., Larsen J.E., Wang J., et al. Effect of KRAS Oncogene Substitutions on Protein Behavior: Implications for Signaling and Clinical Outcome. J. Natl. Cancer Inst. 2012;104:228–239. doi: 10.1093/jnci/djr523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Skoulidis F., Byers L.A., Diao L., Papadimitrakopoulou V.A., Tong P., Izzo J., Behrens C., Kadara H., Parra E.R., Canales J.R., et al. Co-Occurring Genomic Alterations Define Major Subsets of KRAS-Mutant Lung Adenocarcinoma with Distinct Biology, Immune Profiles, and Therapeutic Vulnerabilities. Cancer Discov. 2015;5:860–877. doi: 10.1158/2159-8290.CD-14-1236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Skoulidis F., Goldberg M.E., Greenawalt D.M., Hellmann M.D., Awad M.M., Gainor J.F., Schrock A.B., Hartmaier R.J., Trabucco S.E., Gay L., et al. STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov. 2018;8:822–835. doi: 10.1158/2159-8290.CD-18-0099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Chen Z., Cheng K., Walton Z., Wang Y., Ebi H., Shimamura T., Liu Y., Tupper T., Ouyang J., Li J., et al. A Murine Lung Cancer Co-Clinical Trial Identifies Genetic Modifiers of Therapeutic Response. Nature. 2012;483:613–617. doi: 10.1038/nature10937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mahoney C.L., Choudhury B., Davies H., Edkins S., Greenman C., van Haaften G., Mironenko T., Santarius T., Stevens C., Stratton M.R., et al. LKB1/KRAS Mutant Lung Cancers Constitute a Genetic Subset of NSCLC with Increased Sensitivity to MAPK and MTOR Signalling Inhibition. Br. J. Cancer. 2009;100:370–375. doi: 10.1038/sj.bjc.6604886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Calles A., Sholl L.M., Rodig S.J., Pelton A.K., Hornick J.L., Butaney M., Lydon C., Dahlberg S.E., Oxnard G.R., Jackman D.M., et al. Immunohistochemical Loss of LKB1 Is a Biomarker for More Aggressive Biology in KRAS-Mutant Lung Adenocarcinoma. Clin. Cancer Res. 2015;21:2851–2860. doi: 10.1158/1078-0432.CCR-14-3112. [DOI] [PubMed] [Google Scholar]
- 29.Hong D.S., Fakih M.G., Strickler J.H., Desai J., Durm G.A., Shapiro G.I., Falchook G.S., Price T.J., Sacher A., Denlinger C.S., et al. KRASG12C Inhibition with Sotorasib in Advanced Solid Tumors. N. Engl. J. Med. 2020;383:1207–1217. doi: 10.1056/NEJMoa1917239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lynch T.J., Bell D.W., Sordella R., Gurubhagavatula S., Okimoto R.A., Brannigan B.W., Harris P.L., Haserlat S.M., Supko J.G., Haluska F.G., et al. Activating Mutations in the Epidermal Growth Factor Receptor Underlying Responsiveness of Non-Small-Cell Lung Cancer to Gefitinib. N. Engl. J. Med. 2004;350:2129–2139. doi: 10.1056/NEJMoa040938. [DOI] [PubMed] [Google Scholar]
- 31.Paez J.G., Jänne P.A., Lee J.C., Tracy S., Greulich H., Gabriel S., Herman P., Kaye F.J., Lindeman N., Boggon T.J., et al. EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy. Science. 2004;304:1497–1500. doi: 10.1126/science.1099314. [DOI] [PubMed] [Google Scholar]
- 32.Sharma S.V., Bell D.W., Settleman J., Haber D.A. Epidermal Growth Factor Receptor Mutations in Lung Cancer. Nat. Rev. Cancer. 2007;7:169–181. doi: 10.1038/nrc2088. [DOI] [PubMed] [Google Scholar]
- 33.Rosell R., Carcereny E., Gervais R., Vergnenegre A., Massuti B., Felip E., Palmero R., Garcia-Gomez R., Pallares C., Sanchez J.M., et al. Erlotinib versus Standard Chemotherapy as First-Line Treatment for European Patients with Advanced EGFR Mutation-Positive Non-Small-Cell Lung Cancer (EURTAC): A Multicentre, Open-Label, Randomised Phase 3 Trial. Lancet Oncol. 2012;13:239–246. doi: 10.1016/S1470-2045(11)70393-X. [DOI] [PubMed] [Google Scholar]
- 34.Offin M., Rizvi H., Tenet M., Ni A., Sanchez-Vega F., Li B.T., Drilon A., Kris M.G., Rudin C.M., Schultz N., et al. Tumor Mutation Burden and Efficacy of EGFR-Tyrosine Kinase Inhibitors in Patients with EGFR-Mutant Lung Cancers. Clin. Cancer Res. 2019;25:1063–1069. doi: 10.1158/1078-0432.CCR-18-1102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Morgillo F., Della Corte C.M., Fasano M., Ciardiello F. Mechanisms of Resistance to EGFR-Targeted Drugs: Lung Cancer. ESMO Open. 2016;1:e000060. doi: 10.1136/esmoopen-2016-000060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Cancer Genome Atlas Research Network Comprehensive Molecular Profiling of Lung Adenocarcinoma. Nature. 2014;511:543–550. doi: 10.1038/nature13385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Blakely C.M., Watkins T.B.K., Wu W., Gini B., Chabon J.J., McCoach C.E., McGranahan N., Wilson G.A., Birkbak N.J., Olivas V.R., et al. Evolution and Clinical Impact of Co-Occurring Genetic Alterations in Advanced-Stage EGFR-Mutant Lung Cancers. Nat. Genet. 2017;49:1693–1704. doi: 10.1038/ng.3990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Santoni-Rugiu E., Melchior L.C., Urbanska E.M., Jakobsen J.N., de Stricker K., Grauslund M., Sørensen J.B. Intrinsic Resistance to EGFR-Tyrosine Kinase Inhibitors in EGFR-Mutant Non-Small Cell Lung Cancer: Differences and Similarities with Acquired Resistance. Cancers. 2019;11:923. doi: 10.3390/cancers11070923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Yu H.A., Suzawa K., Jordan E., Zehir A., Ni A., Kim R., Kris M.G., Hellmann M.D., Li B.T., Somwar R., et al. Concurrent Alterations in EGFR-Mutant Lung Cancers Associated with Resistance to EGFR Kinase Inhibitors and Characterization of MTOR as a Mediator of Resistance. Clin. Cancer Res. 2018;24:3108–3118. doi: 10.1158/1078-0432.CCR-17-2961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Sequist L.V., Waltman B.A., Dias-Santagata D., Digumarthy S., Turke A.B., Fidias P., Bergethon K., Shaw A.T., Gettinger S., Cosper A.K., et al. Genotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors. Sci. Transl. Med. 2011;3:75ra26. doi: 10.1126/scitranslmed.3002003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ortiz-Cuaran S., Scheffler M., Plenker D., Dahmen L., Scheel A.H., Fernandez-Cuesta L., Meder L., Lovly C.M., Persigehl T., Merkelbach-Bruse S., et al. Heterogeneous Mechanisms of Primary and Acquired Resistance to Third-Generation EGFR Inhibitors. Clin. Cancer Res. 2016;22:4837–4847. doi: 10.1158/1078-0432.CCR-15-1915. [DOI] [PubMed] [Google Scholar]
- 42.Le X., Puri S., Negrao M.V., Nilsson M.B., Robichaux J., Boyle T., Hicks J.K., Lovinger K.L., Roarty E., Rinsurongkawong W., et al. Landscape of EGFR-Dependent and -Independent Resistance Mechanisms to Osimertinib and Continuation Therapy Beyond Progression in EGFR-Mutant NSCLC. Clin. Cancer Res. 2018;24:6195–6203. doi: 10.1158/1078-0432.CCR-18-1542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Francaviglia I., Magliacane G., Lazzari C., Grassini G., Brunetto E., Dal Cin E., Girlando S., Medicina D., Smart C.E., Bulotta A., et al. Identification and Monitoring of Somatic Mutations in Circulating Cell-Free Tumor DNA in Lung Cancer Patients. Lung Cancer. 2019;134:225–232. doi: 10.1016/j.lungcan.2019.06.010. [DOI] [PubMed] [Google Scholar]
- 44.Costa C., Molina M.A., Drozdowskyj A., Giménez-Capitán A., Bertran-Alamillo J., Karachaliou N., Gervais R., Massuti B., Wei J., Moran T., et al. The Impact of EGFR T790M Mutations and BIM MRNA Expression on Outcome in Patients with EGFR-Mutant NSCLC Treated with Erlotinib or Chemotherapy in the Randomized Phase III EURTAC Trial. Clin. Cancer Res. 2014;20:2001–2010. doi: 10.1158/1078-0432.CCR-13-2233. [DOI] [PubMed] [Google Scholar]
- 45.Soria J.-C., Ohe Y., Vansteenkiste J., Reungwetwattana T., Chewaskulyong B., Lee K.H., Dechaphunkul A., Imamura F., Nogami N., Kurata T., et al. Osimertinib in Untreated EGFR-Mutated Advanced Non-Small-Cell Lung Cancer. N. Engl. J. Med. 2018;378:113–125. doi: 10.1056/NEJMoa1713137. [DOI] [PubMed] [Google Scholar]
- 46.Thress K.S., Paweletz C.P., Felip E., Cho B.C., Stetson D., Dougherty B., Lai Z., Markovets A., Vivancos A., Kuang Y., et al. Acquired EGFR C797S Mutation Mediates Resistance to AZD9291 in Non-Small Cell Lung Cancer Harboring EGFR T790M. Nat. Med. 2015;21:560–562. doi: 10.1038/nm.3854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Oxnard G.R., Hu Y., Mileham K.F., Husain H., Costa D.B., Tracy P., Feeney N., Sholl L.M., Dahlberg S.E., Redig A.J., et al. Assessment of Resistance Mechanisms and Clinical Implications in Patients With EGFR T790M-Positive Lung Cancer and Acquired Resistance to Osimertinib. JAMA Oncol. 2018;4:1527–1534. doi: 10.1001/jamaoncol.2018.2969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Piotrowska Z., Isozaki H., Lennerz J.K., Gainor J.F., Lennes I.T., Zhu V.W., Marcoux N., Banwait M.K., Digumarthy S.R., Su W., et al. Landscape of Acquired Resistance to Osimertinib in EGFR-Mutant NSCLC and Clinical Validation of Combined EGFR and RET Inhibition with Osimertinib and BLU-667 for Acquired RET Fusion. Cancer Discov. 2018;8:1529–1539. doi: 10.1158/2159-8290.CD-18-1022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zhao F., Xu M., Lei H., Zhou Z., Wang L., Li P., Zhao J., Hu P. Clinicopathological Characteristics of Patients with Non-Small-Cell Lung Cancer Who Harbor EML4-ALK Fusion Gene: A Meta-Analysis. PLoS ONE. 2015;10:e0117333. doi: 10.1371/journal.pone.0117333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Soda M., Choi Y.L., Enomoto M., Takada S., Yamashita Y., Ishikawa S., Fujiwara S., Watanabe H., Kurashina K., Hatanaka H., et al. Identification of the Transforming EML4–ALK Fusion Gene in Non-Small-Cell Lung Cancer. Nature. 2007;448:561–566. doi: 10.1038/nature05945. [DOI] [PubMed] [Google Scholar]
- 51.Sanders H.R., Li H.-R., Bruey J.-M., Scheerle J.A., Meloni-Ehrig A.M., Kelly J.C., Novick C., Albitar M. Exon Scanning by Reverse Transcriptase-Polymerase Chain Reaction for Detection of Known and Novel EML4-ALK Fusion Variants in Non-Small Cell Lung Cancer. Cancer Genet. 2011;204:45–52. doi: 10.1016/j.cancergencyto.2010.08.024. [DOI] [PubMed] [Google Scholar]
- 52.Wang R., Pan Y., Li C., Hu H., Zhang Y., Li H., Luo X., Zhang J., Fang Z., Li Y., et al. The Use of Quantitative Real-Time Reverse Transcriptase PCR for 5′ and 3′ Portions of ALK Transcripts to Detect ALK Rearrangements in Lung Cancers. Clin. Cancer Res. 2012;18:4725–4732. doi: 10.1158/1078-0432.CCR-12-0677. [DOI] [PubMed] [Google Scholar]
- 53.Takeuchi K., Choi Y.L., Soda M., Inamura K., Togashi Y., Hatano S., Enomoto M., Takada S., Yamashita Y., Satoh Y., et al. Multiplex Reverse Transcription-PCR Screening for EML4-ALK Fusion Transcripts. Clin. Cancer Res. 2008;14:6618–6624. doi: 10.1158/1078-0432.CCR-08-1018. [DOI] [PubMed] [Google Scholar]
- 54.Choi Y.L., Takeuchi K., Soda M., Inamura K., Togashi Y., Hatano S., Enomoto M., Hamada T., Haruta H., Watanabe H., et al. Identification of Novel Isoforms of the EML4-ALK Transforming Gene in Non-Small Cell Lung Cancer. Cancer Res. 2008;68:4971–4976. doi: 10.1158/0008-5472.CAN-07-6158. [DOI] [PubMed] [Google Scholar]
- 55.Horn L., Pao W. EML4-ALK: Honing in on a New Target in Non-Small-Cell Lung Cancer. J. Clin. Oncol. 2009;27:4232–4235. doi: 10.1200/JCO.2009.23.6661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Takeuchi K., Choi Y.L., Togashi Y., Soda M., Hatano S., Inamura K., Takada S., Ueno T., Yamashita Y., Satoh Y., et al. KIF5B-ALK, a Novel Fusion Oncokinase Identified by an Immunohistochemistry-Based Diagnostic System for ALK-Positive Lung Cancer. Clin. Cancer Res. 2009;15:3143–3149. doi: 10.1158/1078-0432.CCR-08-3248. [DOI] [PubMed] [Google Scholar]
- 57.Richards M.W., Law E.W., La’Verne P.R., Busacca S., O’Regan L., Fry A.M., Fennell D.A., Bayliss R. Crystal Structure of EML1 Reveals the Basis for Hsp90 Dependence of Oncogenic EML4-ALK by Disruption of an Atypical β-Propeller Domain. Proc. Natl. Acad. Sci. USA. 2014;111:5195–5200. doi: 10.1073/pnas.1322892111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Heuckmann J.M., Balke-Want H., Malchers F., Peifer M., Sos M.L., Koker M., Meder L., Lovly C.M., Heukamp L.C., Pao W., et al. Differential Protein Stability and ALK Inhibitor Sensitivity of EML4-ALK Fusion Variants. Clin. Cancer Res. 2012;18:4682–4690. doi: 10.1158/1078-0432.CCR-11-3260. [DOI] [PubMed] [Google Scholar]
- 59.Hrustanovic G., Olivas V., Pazarentzos E., Tulpule A., Asthana S., Blakely C.M., Okimoto R.A., Lin L., Neel D.S., Sabnis A., et al. RAS-MAPK Dependence Underlies a Rational Polytherapy Strategy in EML4-ALK-Positive Lung Cancer. Nat. Med. 2015;21:1038–1047. doi: 10.1038/nm.3930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Alidousty C., Baar T., Martelotto L.G., Heydt C., Wagener S., Fassunke J., Duerbaum N., Scheel A.H., Frank S., Holz B., et al. Genetic Instability and Recurrent MYC Amplification in ALK-Translocated NSCLC: A Central Role of TP53 Mutations. J. Pathol. 2018;246:67–76. doi: 10.1002/path.5110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Aisner D.L., Sholl L.M., Berry L.D., Rossi M.R., Chen H., Fujimoto J., Moreira A.L., Ramalingam S.S., Villaruz L.C., Otterson G.A., et al. The Impact of Smoking and TP53 Mutations in Lung Adenocarcinoma Patients with Targetable Mutations-The Lung Cancer Mutation Consortium (LCMC2) Clin. Cancer Res. 2018;24:1038–1047. doi: 10.1158/1078-0432.CCR-17-2289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Gainor J.F., Dardaei L., Yoda S., Friboulet L., Leshchiner I., Katayama R., Dagogo-Jack I., Gadgeel S., Schultz K., Singh M., et al. Molecular Mechanisms of Resistance to First- and Second-Generation ALK Inhibitors in ALK-Rearranged Lung Cancer. Cancer Discov. 2016;6:1118–1133. doi: 10.1158/2159-8290.CD-16-0596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Choi Y.L., Soda M., Yamashita Y., Ueno T., Takashima J., Nakajima T., Yatabe Y., Takeuchi K., Hamada T., Haruta H., et al. EML4-ALK Mutations in Lung Cancer That Confer Resistance to ALK Inhibitors. N. Engl. J. Med. 2010;363:1734–1739. doi: 10.1056/NEJMoa1007478. [DOI] [PubMed] [Google Scholar]
- 64.Lovly C.M., Pao W. Escaping ALK Inhibition: Mechanisms of and Strategies to Overcome Resistance. Sci. Transl. Med. 2012;4:120ps2. doi: 10.1126/scitranslmed.3003728. [DOI] [PubMed] [Google Scholar]
- 65.Sun H.-Y., Ji F.-Q. A Molecular Dynamics Investigation on the Crizotinib Resistance Mechanism of C1156Y Mutation in ALK. Biochem. Biophys. Res. Commun. 2012;423:319–324. doi: 10.1016/j.bbrc.2012.05.120. [DOI] [PubMed] [Google Scholar]
- 66.Kumar A., Ramanathan K. Exploring the Structural and Functional Impact of the ALK F1174L Mutation Using Bioinformatics Approach. J. Mol. Model. 2014;20:2324. doi: 10.1007/s00894-014-2324-3. [DOI] [PubMed] [Google Scholar]
- 67.Marsilje T.H., Pei W., Chen B., Lu W., Uno T., Jin Y., Jiang T., Kim S., Li N., Warmuth M., et al. Synthesis, Structure-Activity Relationships, and in Vivo Efficacy of the Novel Potent and Selective Anaplastic Lymphoma Kinase (ALK) Inhibitor 5-Chloro-N2-(2-Isopropoxy-5-Methyl-4-(Piperidin-4-Yl)Phenyl)-N4-(2-(Isopropylsulfonyl)Phenyl)Pyrimidine-2,4-Diamine (LDK378) Currently in Phase 1 and Phase 2 Clinical Trials. J. Med. Chem. 2013;56:5675–5690. doi: 10.1021/jm400402q. [DOI] [PubMed] [Google Scholar]
- 68.Katayama R., Friboulet L., Koike S., Lockerman E.L., Khan T.M., Gainor J.F., Iafrate A.J., Takeuchi K., Taiji M., Okuno Y., et al. Two Novel ALK Mutations Mediate Acquired Resistance to the Next-Generation ALK Inhibitor Alectinib. Clin. Cancer Res. 2014;20:5686–5696. doi: 10.1158/1078-0432.CCR-14-1511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Zou H.Y., Friboulet L., Kodack D.P., Engstrom L.D., Li Q., West M., Tang R.W., Wang H., Tsaparikos K., Wang J., et al. PF-06463922, an ALK/ROS1 Inhibitor, Overcomes Resistance to First and Second Generation ALK Inhibitors in Preclinical Models. Cancer Cell. 2015;28:70–81. doi: 10.1016/j.ccell.2015.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Friboulet L., Li N., Katayama R., Lee C.C., Gainor J.F., Crystal A.S., Michellys P.-Y., Awad M.M., Yanagitani N., Kim S., et al. The ALK Inhibitor Ceritinib Overcomes Crizotinib Resistance in Non-Small Cell Lung Cancer. Cancer Discov. 2014;4:662–673. doi: 10.1158/2159-8290.CD-13-0846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Kodama T., Tsukaguchi T., Yoshida M., Kondoh O., Sakamoto H. Selective ALK Inhibitor Alectinib with Potent Antitumor Activity in Models of Crizotinib Resistance. Cancer Lett. 2014;351:215–221. doi: 10.1016/j.canlet.2014.05.020. [DOI] [PubMed] [Google Scholar]
- 72.Xiao Z., Huang X., Xie B., Xie W., Huang M., Lin L. Primary Resistance to Brigatinib in a Patient with Lung Adenocarcinoma Harboring ALK G1202R Mutation and LIPI-NTRK1 Rearrangement. OTT. 2020;13:4591–4595. doi: 10.2147/OTT.S249652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Doebele R.C., Pilling A.B., Aisner D.L., Kutateladze T.G., Le A.T., Weickhardt A.J., Kondo K.L., Linderman D.J., Heasley L.E., Franklin W.A., et al. Mechanisms of Resistance to Crizotinib in Patients with ALK Gene Rearranged Non-Small Cell Lung Cancer. Clin. Cancer Res. 2012;18:1472–1482. doi: 10.1158/1078-0432.CCR-11-2906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Katayama R., Shaw A.T., Khan T.M., Mino-Kenudson M., Solomon B.J., Halmos B., Jessop N.A., Wain J.C., Yeo A.T., Benes C., et al. Mechanisms of Acquired Crizotinib Resistance in ALK-Rearranged Lung Cancers. Sci. Transl. Med. 2012;4:120ra17. doi: 10.1126/scitranslmed.3003316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Dong X., Fernandez-Salas E., Li E., Wang S. Elucidation of Resistance Mechanisms to Second-Generation ALK Inhibitors Alectinib and Ceritinib in Non-Small Cell Lung Cancer Cells. Neoplasia. 2016;18:162–171. doi: 10.1016/j.neo.2016.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Toyokawa G., Taguchi K., Ohba T., Morodomi Y., Takenaka T., Hirai F., Yamaguchi M., Seto T., Takenoyama M., Sugio K., et al. First Case of Combined Small-Cell Lung Cancer with Adenocarcinoma Harboring EML4-ALK Fusion and an Exon 19 EGFR Mutation in Each Histological Component. J. Thorac. Oncol. 2012;7:e39–e41. doi: 10.1097/JTO.0b013e3182762bcb. [DOI] [PubMed] [Google Scholar]
- 77.Popat S. Histologically Transformed SCLC from EGFR-Mutant NSCLC: Understanding the Wolf in Sheep’s Clothing. J. Thorac. Oncol. 2019;14:1689–1691. doi: 10.1016/j.jtho.2019.07.010. [DOI] [PubMed] [Google Scholar]
- 78.Marcoux N., Gettinger S.N., O’Kane G., Arbour K.C., Neal J.W., Husain H., Evans T.L., Brahmer J.R., Muzikansky A., Bonomi P.D., et al. EGFR-Mutant Adenocarcinomas That Transform to Small-Cell Lung Cancer and Other Neuroendocrine Carcinomas: Clinical Outcomes. J. Clin. Oncol. 2019;37:278–285. doi: 10.1200/JCO.18.01585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Lin M.-W., Su K.-Y., Su T.-J., Chang C.-C., Lin J.-W., Lee Y.-H., Yu S.-L., Chen J.-S., Hsieh M.-S. Clinicopathological and Genomic Comparisons between Different Histologic Components in Combined Small Cell Lung Cancer and Non-Small Cell Lung Cancer. Lung Cancer. 2018;125:282–290. doi: 10.1016/j.lungcan.2018.10.006. [DOI] [PubMed] [Google Scholar]
- 80.Urbanska E.M., Sørensen J.B., Melchior L.C., Costa J.C., Santoni-Rugiu E. Changing ALK-TKI-Resistance Mechanisms in Rebiopsies of ALK-Rearranged NSCLC: ALK- and BRAF-Mutations Followed by Epithelial-Mesenchymal Transition. Int. J. Mol. Sci. 2020;21:2847. doi: 10.3390/ijms21082847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Lee J.-K., Lee J., Kim S., Kim S., Youk J., Park S., An Y., Keam B., Kim D.-W., Heo D.S., et al. Clonal History and Genetic Predictors of Transformation Into Small-Cell Carcinomas From Lung Adenocarcinomas. J. Clin. Oncol. 2017;35:3065–3074. doi: 10.1200/JCO.2016.71.9096. [DOI] [PubMed] [Google Scholar]