Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
2Department of Medical Genetics, St.-Petersburg State Pediatric Medical University, 194100 St.-Petersburg, Russia
Email: chekmarevaev@mail.ru
ORCID: https://orcid.org/0000-0001-7800-013X
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0001-8357-9326
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0002-8890-6311
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0002-6549-8378
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0009-0008-4027-1223
Affiliation:
2Department of Medical Genetics, St.-Petersburg State Pediatric Medical University, 194100 St.-Petersburg, Russia
ORCID: https://orcid.org/0009-0001-5294-5896
Affiliation:
2Department of Medical Genetics, St.-Petersburg State Pediatric Medical University, 194100 St.-Petersburg, Russia
ORCID: https://orcid.org/0009-0006-8863-1158
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0002-0157-5952
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0002-2216-4845
Affiliation:
1Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia
2Department of Medical Genetics, St.-Petersburg State Pediatric Medical University, 194100 St.-Petersburg, Russia
ORCID: https://orcid.org/0000-0003-4529-7891
Explor Target Antitumor Ther. 2025;6:1002330 DOl: https://doi.org/10.37349/etat.2025.1002330
Received: April 04, 2025 Accepted: June 19, 2025 Published: July 09, 2025
Academic Editor: Nicola Normanno, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Italy
Aim: This study aimed at the identification of new druggable alterations in non-small cell lung carcinomas (NSCLCs).
Methods: RNA next generation sequencing (NGS) analysis for 650 protein kinase genes was performed for 89 NSCLCs obtained from young-onset and/or female non-smokers, who were negative for activating events involving EGFR, ALK, ROS1, RET, MET, NTRK1/2/3, BRAF, HER2, KRAS, or NRAS genes.
Results: RNA sequencing identified 32 in-frame rearrangements, including 9 instances of fully preserved and 8 tumors with partially preserved tyrosine kinase domains. These 17 translocations were further analyzed in 1,059 mutation-negative NSCLCs, which resulted in the identification of two additional tumors with ADK::KAT6B rearrangement and one carcinoma carrying RPS6KB1::VMP1 fusion. The recently reported CLIP1::LTK gene fusion was tested in 2,754 NSCLCs, which were negative for all known actionable mutations, however, no new instances of this translocation have been observed. We further analyzed RNA sequencing results of 89 NSCLCs for mutations affecting the kinase domain of the involved gene. There were 53 substitutions with a combined annotation dependent depletion (CADD) score above 25; all these lesions turned out to be unique, as the analysis of 551 additional NSCLCs revealed no recurrent alterations. ROS1, LTK, and FGFR4 high-level overexpression was observed in 1 out of 89 tumors each.
Conclusions: This study demonstrates the scarcity of yet unknown kinase-activating alterations in NSCLCs.
The majority of non-small cell lung carcinomas (NSCLCs) are driven by activation of the MAPK pathway. This upregulation occurs due to genetic alterations affecting transmembrane tyrosine kinase receptors or downstream members of this signaling cascade. EGFR and ERBB2 (HER2) receptors are usually activated via point mutations, small in-frame deletions, or insertions [1, 2]. KRAS, NRAS, and BRAF genes drive carcinogenesis via nucleotide substitutions affecting hot-spot codons [3, 4]. ALK, ROS1, RET, NTRK1, NTRK2, and NTRK3 receptor tyrosine kinases are activated via gene rearrangements [5–7]. MET gene often undergoes mutations affecting splice site and resulting in exon 14 skipping and, consequently, dramatic elevation of the stability of corresponding protein [8]. In addition, MET and ERBB2 (HER2) overexpression due to amplification contributes to the development of some lung malignancies, although the role of these events is less strictly established as compared to gene mutations or rearrangements [9–11]. The development of EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, and KRAS G12C inhibitors has changed the landscape of systemic NSCLC treatment, with approximately 2–3-fold improvement of life expectancy in patients with oncogenic mutations and 5–7-fold increase of overall survival in subjects with druggable kinase fusions [12].
All the driver events described above are mutually exclusive. Furthermore, with the exception of KRAS, druggable genetic alterations are enriched in NSCLCs affecting females and non-smokers. ALK, ROS1, RET, and NTRK1/2/3 rearrangements demonstrate a significant association with age, being overrepresented in young-onset patients. In fact, over 70–90% NSCLCs arising in female non-smokers and/or young subjects carry an activating event in one of the above genes [12]. Consequently, the genomic analysis of patients who belong to the above categories and lack alterations in EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, KRAS, or NRAS genes has significant potential for identifying new drivers of lung cancer pathogenesis. This study focused on potentially activating events in kinase genes, given that kinases are generally accessible for therapeutic targeting.
NSCLC tumors were collected from diagnostic samples, which were forwarded to the N.N. Petrov Institute of Oncology (St.-Petersburg, Russia) between 2020–2022. The study included formalin-fixed paraffin-embedded (FFPE) specimens obtained from non-smokers with mutation-negative NSCLC, of whom 76 patients were younger than 50 years and 13 subjects were non-smoking women aged 58–79 years. The proportion of tumor cells in the analyzed FFPE sections was above 70%.
RNA was extracted from manually dissected tumor cells with the PureLink FFPE Total RNA Isolation Kit (Thermo Fisher Scientific) according to the manufacturer’s protocols. RNA was purified with DNase I (Thermo Fisher Scientific) and quantified with the Qubit RNA BR Assay Kit (Thermo Fisher Scientific). RNA samples were subjected to library preparation with the KAPA RNA HyperPrep kit (Roche Sequencing Solutions, Inc.). Target enrichment was performed using the HyperCap Target Enrichment kit (Roche Sequencing Solutions, Inc.) and custom probe panels covering coding sequences of 650 kinase-related genes in accordance with the manufacturer’s guidelines. Kinase genes were divided into two groups according to the basic level of expression in lung tissues [see The HUMAN PROTEIN ATLAS resource (https://www.proteinatlas.org)]: a panel of 207 genes with a high level of expression and a panel of 443 genes with low and medium levels of expression (Tables S1 and S2). The original panels were developed by the HyperDesign Tool (Roche Sequencing Solutions, Inc.) with the specified stringency (maximum close matches: 5–10; overhang: 30 bp). Sequencing was performed on the NextSeq 2000 System (Illumina, USA) in a paired-end mode for 150 cycles in both orientations.
NGS (next generation sequencing) data were analyzed by the STAR-Fusion bioinformatic pipeline (V.1.4.0) for the identification of gene fusions and the MuTect2 tool (GATK 4.3.0.0) for the analysis of somatic mutations [13, 14]. All alterations were manually curated using the IGV (https://igv.org) and the Golden Helix GenomeBrowse tool (https://www.goldenhelix.com/products/GenomeBrowse).
The analysis of gene expression was performed for BAM-files after STAR alignment with the RSEM instrument [15]. The threshold for overexpression was a 100-fold elevation for 207 genes with a high level of expression and a 250-fold increase for low/medium expressors, with 75% quartile taken as a base-line.
The analysis of frequencies of newly identified fusions was performed by variant-specific PCR. Newly identified mutations were analyzed by allele-specific PCR. Primers and probes are presented in Tables S3 and S4. PCR reactions were performed on the CFX-96 Real-Time PCR Detection System (Bio-Rad, USA). PCR mix contained 1 μL of cDNA sample, 1× GeneAmp PCR Buffer I (Applied Biosystems, USA), 250 μM of each dNTP, 200 nM of each primer and probe, 2.5 mM MgCl2, and 1 U of TaqM polymerase (AlkorBio, Russia) in a total volume of 20 μL. PCR reactions were initiated by the enzyme activation (95˚C, 10 min.) and included 38 cycles (95˚C for 15 s followed by 58˚C for 1 min.). Gene fusions were analyzed in 1,059 NSCLC samples negative for common druggable mutations. The analysis of point mutations included 551 NSCLCs; this group of tumors was intentionally composed of both NSCLCs lacking alterations in EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, MET, KRAS, NRAS or BRAF genes (n = 367) and carcinomas carrying activating mutations in EGFR or KRAS genes (n = 184). Clinical characteristics of the patients are given in Table 1.
NSCLCs for the extended study of genetic alterations in kinase-encoding genes
Characteristics | Fusion study | Mutation study |
---|---|---|
Total | 1,059 | 551 |
Sex | ||
Male | 802 (75.7%) | 398 (72.2%) |
Female | 257 (24.3%) | 153 (27.8%) |
Age | ||
Range | 21–89 | 26–89 |
Median | 63 | 63.5 |
≤ 50 years old | 93 (8.8%) | 49 (8.9%) |
Smoking status | ||
Yes | 405 (38.2%) | 147 (26.7%) |
No | 222 (21%) | 78 (14.2%) |
No data | 432 (40.8%) | 326 (59.2%) |
We initially considered 2,994 NSCLC patients who underwent molecular testing for common EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, MET, KRAS, NRAS, and BRAF gene alterations from August 2020 to May 2022. Smoking status was available for 2,034/2,994 (67.9%) of these cases. Presence of driver mutation in the above genes was detected in 369/1,017 (36.3%) smokers vs. 595/1,017 (58.5%) non-smokers (p < 0.0001), 776/1,953 (39.7%) males vs. 642/1,041 (61.7%) females (p < 0.0001), and 1,237/2,650 (46.7%) patients aged above 50 years vs. 181/344 (52.6%) subjects of 50 years or younger (p = 0.0383). The frequency of druggable events in female non-smokers approached 421/623 (67.6%). We further selected for the study 89 non-smoking mutation-negative patients, who were represented by 76 subjects younger than 50 years (24 females and 52 males) and 13 women aged 58–79 years. These tumors were analyzed for alterations in 650 kinase genes.
RNA sequencing revealed 93 chimeric transcripts in 89 tumors, with 0–6 fusions per tumor sample. There were 31 translocations involving two chromosomes each and 62 intrachromosomal rearrangements (17 inversions, 27 deletions, and 18 duplications). Thirty-two rearrangements were in-frame, i.e., they were able to produce a potentially functional transcript, while the remaining 61 fusions were out-of-frame. Nine rearrangements occurred more than once in this data set, however, they all were out-of-frame. Tyrosine kinase domain was fully preserved in 9 out of 32 in-frame rearrangements (Table 2), and a part of the kinase portion of the gene was retained in 8 out of these 32 tumors (Table S5). These 17 rearrangements were confirmed by variant-specific PCR and further analyzed in 1,059 NSCLCs, which lacked common alterations in EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, MET, KRAS, NRAS, and BRAF genes. These efforts led to the identification of two additional tumors with ADK::KAT6B rearrangement and one carcinoma carrying RPS6KB1::VMP1 fusion. Both these fusions retain only a relatively small portion of the kinase domain of the involved gene, so they are unlikely to render a direct kinase-activating effect. Furthermore, the oncogenic role of RPS6KB1::VMP1 fusion is believed to be attributed not to RPS6KB1 kinase but to the altered function of VMP1 protein. In addition, the recently reported CLIP1::LTK [16] gene fusion was analyzed in 2,754 NSCLCs, which were negative for all known actionable mutations, however, no new instances of this translocation have been observed.
Kinase fusions with preserved kinase domain
Kinase domain | Fusion’s name | Rearrangement (GRCh38) | 5’-partner’s function | 3’-partner’s function |
---|---|---|---|---|
5’-partner | MAPK10::LOC107986215 | Intrachromosomal [chr4:3.95Mb];chr4:86064266:– chr4:81915358:– | Serine/threonine-protein kinase;Neuronal proliferation, differentiation, migration, and programmed cell death | Non-coding RNA |
STK38::CDC73 | Interchromosomal [chr6--chr1];chr6:3649671:– chr1:193135391:+ | Serine/threonine-protein kinase, transferase;Cell cycle and apoptosis, negative regulator of MAP3K1/2 signaling | Tumor suppressor;Cell cycle, regulation of transcription, Wnt signaling pathway | |
BCR::PKHD1 | Interchromosomal [chr22--chr6];chr22:23273774:+ chr6:51960026:– | Serine/threonine-protein kinase, transferase;Guanine-nucleotide releasing factor | Receptor;Adhesion, cell motility | |
CDC42BPG::ATG2A | Intrachromosomal [chr11:0.05Mb];chr11:64832428:– chr11:64906815:– | Serine/threonine-protein kinase, transferase;Cytoskeletal reorganization, cell invasion | Transporter;Autophagy, lipid transport | |
GALK2::FGF7 | Intrachromosomal [chr15:0.06Mb];chr15:49328130:+ chr15:49483151:+ | Kinase, transferase;Metabolic protein | Growth factor;Heparin-binding, embryonic development, cell proliferation, and differentiation | |
3’-partner | CLTC::RPS6KB1 | Intrachromosomal [chr17:0.20Mb];chr17:59677188:+ chr17:59910562:+ | Transporter;Autophagy, cell cycle, cell division, mitosis | Serine/threonine-kinase, transferase;Apoptosis, cell cycle, and regulation of translation |
ATXN2L::SMG1 | Intrachromosomal [chr16:9.90Mb];chr16:28825402:+ chr16:18876393:– | Plasma protein;Neurodegenerative disorders | Serine/threonine-kinase;DNA damage, DNA repair, nonsense-mediated mRNA decay | |
WASF2::FGR | Intrachromosomal [chr1:0.12Mb];chr1:27414833:– chr1:27617296:– | Actin-binding protein;Changes in cell shape, motility, or function | Non-receptor tyrosine-kinase;Immunity |
Chr: chromosome
RNA sequencing revealed 601 non-synonymous somatic mutations. We further considered all mutations, which were located within the kinase domain of the involved genes and had combined annotation dependent depletion (CADD) score above 25 (Table 3). None of these 53 substitutions occurred more than once in 89 NGS-analyzed NSCLCs (Table S5). We further tested all these mutations in 367 NSCLCs lacking driver mutations and 184 carcinomas carrying activating mutations in EGFR or KRAS genes. No new instances of these mutations were detected.
Mutations in kinase domains
Chr | Position | REF | ALT | Gene | Protein | Effect | CADD |
---|---|---|---|---|---|---|---|
1 | 59321726 | G | T | FGGY | p.Trp59Cys | missense_variant | 29.7 |
1 | 64177651 | G | T | ROR1 | p.Cys537Phe | missense_variant | 25.6 |
7 | 151057136 | G | A | CDK5 | p.Ala21Val | missense_variant | 29.5 |
4 | 86101117 | G | A | MAPK10 | p.Pro222Leu | missense_variant | 27.8 |
6 | 7402834 | G | A | RIOK1 | p.Cys235Tyr | missense_variant | 31 |
1 | 162500036 | G | T | UHMK1 | p.Ser117Ile | missense_variant | 28.5 |
3 | 142496516 | C | G | ATR | p.Asp1915His | missense_variant | 25.4 |
17 | 28122673 | G | T | NLK | p.Val177Phe | missense_variant | 27.9 |
19 | 40238013 | G | C | AKT2 | p.Leu263Val | missense_variant | 25.1 |
6 | 115942559 | C | G | FRK | p.Cys458Ser | missense_variant | 25.3 |
9 | 127789200 | A | G | CDK9 | p.Tyr259Cys | missense_variant | 28.5 |
5 | 56883589 | G | C | MAP3K1 | p.Trp1243Cys | missense_variant | 32 |
19 | 18123365 | G | T | MAST3 | p.Arg183Leu | missense_variant | 26.4 |
1 | 204440257 | C | A | PIK3C2B | p.Trp1105Leu | missense_variant | 29.1 |
10 | 103999254 | G | T | SLK | p.Met241Ile | missense_variant | 26 |
2 | 147918462 | T | A | ACVR2A | p.Phe278Ile | missense_variant | 25.1 |
2 | 172564574 | T | A | PDK1 | p.Ile181Asn | missense_variant | 25.8 |
1 | 179117461 | C | T | ABL | p.Asp427Asn | missense_variant | 28.4 |
1 | 205528150 | C | G | CDK18 | p.Ser349Cys | missense_variant | 28.8 |
7 | 100807468 | C | A | EPHB4 | p.Arg744Leu | missense_variant | 29.4 |
6 | 10803770 | C | G | MAK | p.Glu205Gln | missense_variant | 25.3 |
16 | 23695909 | CС | AA | ERN2 | p.Gly532Leu | missense_variant | 25.4 |
7 | 137645473 | T | A | DGKI | p.Lys268Met | missense_variant | 34 |
8 | 140746862 | T | C | PTK2 | c.1820-2 T > C | splice_acceptor_variant | 33 |
16 | 18850461 | C | A | SMG1 | p.Asp1687Tyr | missense_variant | 27.5 |
7 | 140673943 | C | A | ADCK2 | p.Pro205Thr | missense_variant | 25.6 |
13 | 26337623 | C | T | CDK8 | p.Ser62Leu | missense_variant | 29.9 |
15 | 98957103 | G | T | IGF1R | p.Met1255Ile | missense_variant | 29.1 |
18 | 21045409 | C | A | ROCK1 | p.Gly158Val | missense_variant | 25.8 |
4 | 106250454 | C | A | TBCK | p.Asp208Tyr | missense_variant | 25.5 |
3 | 38397157 | A | G | XYLB | p.His452Arg | missense_variant | 25.2 |
11 | 67434052 | G | A | RPS6KB2 | p.Val322Met | missense_variant | 26.5 |
2 | 200853964 | A | G | CLK1 | p.Leu459Ser | missense_variant | 27.3 |
21 | 44325220 | G | T | PFKL | p.Gly649Cys | missense_variant | 26.7 |
4 | 78844976 | T | C | BMP2K | p.Phe199Leu | missense_variant | 28.1 |
8 | 27828135 | C | T | PBK | p.Gly41Asp | missense_variant | 25.7 |
9 | 4719192 | C | A | AK3 | p.Trp129Cys | missense_variant | 32 |
1 | 32275576 | T | G | LCK | p.Phe129Val | missense_variant | 31 |
22 | 20729351 | C | A | PI4KA | p.Trp1548Cys | missense_variant | 28.5 |
9 | 99144879 | G | A | TGFBR1 | p.Gly378Glu | missense_variant | 29.4 |
3 | 142493161 | C | T | ATR | p.Glu2017Lys | missense_variant | 29.2 |
15 | 50574399 | C | G | TRPM7 | p.Arg1728Thr | missense_variant | 25.6 |
2 | 241499292 | G | A | STK25 | p.Pro184Ser | missense_variant | 28.4 |
1 | 46023823 | G | C | MAST2 | p.Lys541Asn | missense_variant | 26.5 |
9 | 130854948 | G | T | ABL | p.Arg153Leu | missense_variant | 29 |
7 | 151077742 | G | T | FASTK | p.Leu360Met | missense_variant | 25.5 |
19 | 45778550 | T | C | DMPK | p.Tyr175Cys | missense_variant | 29.8 |
19 | 17835206 | C | A | JAK3 | p.Gly642Cys | missense_variant | 26.6 |
18 | 42057984 | G | T | PIK3C3 | p.Gly789Cys | missense_variant | 31 |
2 | 219481341 | C | G | SPEG | p.Arg1803Gly | missense_variant | 26 |
19 | 1220692 | G | T | STK11 | p.Asp237Tyr | missense_variant | 32 |
5 | 178612457 | A | G | CLK4 | p.Leu337Ser | missense_variant | 29.4 |
11 | 67433445 | A | C | RPS6KB2 | p.Lys302Gln | missense_variant | 25.5 |
Chr: chromosome; REF: reference allele; ALT: alternative allele; CADD: combined annotation dependent depletion
Instances of kinase overexpression were observed in 20/89 (22.5%) NSCLCs; a single kinase gene was activated in 14 tumors, while six NSCLCs demonstrated overexpression of more than one kinase (Table S5). PIK3R1 transcription was significantly elevated in 3/89 (3.4%) tumors; CMPK2, MAP2K6, WNK2, and GRK1 kinases were overexpressed in 2 tumors each; single instances of gene overexpression were observed for 18 kinases (Figure 1). Overall, 7/89 (7.9%) NSCLCs had overexpressed kinases amenable to therapy with clinically available compounds (Table 4).
Graphical demonstration of instances of kinase gene overexpression. (A) The analysis of genes with high level of average expression, in which a 100-fold increase of RNA transcription as compared to the 75%-quartile value is taken as a threshold; (B) the analysis of genes with low/medium level of average expression, in which a 250-fold increase of RNA transcription as compared to the 75%-quartile value is taken as a threshold
Overexpressed kinases and clinically available therapy
Gene | Number of cases | Therapy [reference] |
---|---|---|
ROS1 | 1 | Crizotinib, entrectinib [17, 18] |
LTK | 1 | Lorlatinib [16] |
ITPKC | 1 | No |
CMPK2 | 2 | No |
ERBB2 | 1 | Trastuzumab and other HER2 inhibitors [19, 20] |
PIK3R1 | 3 | Binimetinib [21] |
FGFR4 | 1 | Futibatinib, erdafitinib, [22, 23] |
HK3 | 1 | No |
LRRK2 | 1 | No |
PIM3 | 1 | No |
CAMK1G | 1 | No |
EPHA8 | 1 | No |
MAP3K20 (ZAK) | 1 | No |
MAST1 | 1 | No |
MAP2K6 | 2 | No |
TNNI3K | 1 | No |
PRKCG | 1 | No |
TTBK1 | 1 | No |
STK32B | 1 | No |
WNK2 | 2 | No |
MOS | 1 | No |
GRK1 | 2 | No |
CDK11B | 1 | No |
This study indicates that the majority of driver mutations in kinase genes, which are relevant to NSCLC pathogenesis, have already been identified, and no new major contributors are expected to emerge in the future. Consequently, the concept of personalization of NSCLC therapy based on the mutation-tailored selection of kinase inhibitors has its limits, even for young-onset and/or non-smoking and/or female patients. Even presumably recurrent mutations, which have been identified recently, have vanishingly low frequency. For example, our study failed to detect potentially druggable CLIP1-LTK rearrangements in a large series of NSCLCs, although the initial report of Izumi et al. [16] suggested its frequency to be around 0.4%.
Some of the identified kinase gene rearrangements have been reported in prior studies. For example, ADK::KAT6B fusion (NSCLC P13756) was observed in a woman with ovarian cancer [24]. RPS6KB1::VMP1 (NSCLC P13041) translocation is a recurrent event in esophageal cancer [25]. Several tumors with WASF2::FGR rearrangements (NSCLC P19401) are described in the TCGA database [26]. EGFR::SEPTIN14 (NSCLC P22152) has been described in a NSCLC patient responding to icotinib as well as an acquired osimertinib resistance mutation in a patient with EGFR exon 19 deletion [27, 28].
Our study demonstrates some promise of systematic analysis of overexpressed drug targets in mutation-negative tumors. The exclusion of NSCLCs with known driver mutations appears to be essential in this context: for example, a clinical trial involving HER2 tumor targeting demonstrated the advantage of this therapy only in patients with KRAS mutation-negative tumors, while patients with RAS activation had no clear benefit from the treatment [29]. Still, the limitations of the present study must be taken into account. Although we selected a conservative threshold for discriminating between kinase-overexpressing and non-overexpressing tumors, it is essential to recognize that RNA sequencing is more error-prone in the analysis of gene expression as compared to methods utilizing more direct measurement of the transcript levels. For example, one of the analyzed tumors (NSCLC P21113) apparently contained 6 overexpressed kinase genes, which may be attributed to some features of bioinformatic normalization analysis rather than to biological factors. It appears that only activated members of the MAPK signaling cascade are reliable therapeutic targets. Indeed, interference with other signaling kinases, for example, members of phosphatidylinositol 3-kinases, demonstrated limited efficacy in an agnostic setting [30].
It is necessary to acknowledge that the analysis of frequencies of the newly identified kinase gene alterations involved NSCLCs with somewhat distinct clinical characteristics as compared to the discovery cohort. Indeed, the kinome NGS analysis was performed in a highly selected group of patients who did not have actionable gene alterations despite being young and/or female non-smokers. This approach is rational because young age, female gender, and non-smoking status are strongly associated with a high frequency of druggable genetic lesions, particularly kinase gene fusions [12]. Given that all 89 tumors from the discovery cohort were negative for EGFR, ERBB2 (HER2), ALK, ROS1, RET, NTRK1/2/3, MET, KRAS, NRAS, or BRAF alterations, and knowing that activating events in the MAPK cascade are mutually exclusive [31], it appears likely that these patients were enriched by yet unknown, potentially druggable mutations. However, it is virtually impossible to collect a similar group of patients for the validation study, because of the low incidence of lung cancer in young non-smokers and high frequency of MAPK gene alterations in this category of NSCLC. Consequently, patients included in the validation cohort had a higher median age and male-to-female ratio, and, in contrast to the discovery cohort, contained a significant number of smokers and subjects with an unknown history of tobacco use. Nevertheless, this limitation is compensated by a sufficient sample size of the validation study, therefore, it is unlikely that truly recurrent events were missed in our data set.
In conclusion, a systematic study of kinase genes in non-smoking young-onset and/or female patients with no known mutations in members of the MAPK signaling cascade failed to identify novel frequent genetic alterations. Instances of apparent overexpression of ROS1, LTK, FGFR4, and MAPK family genes deserve further investigation.
CADD: combined annotation dependent depletion
FFPE: formalin-fixed paraffin-embedded
NGS: next generation sequencing
NSCLCs: non-small cell lung carcinomas
The supplementary tables for this article are available at: https://www.explorationpub.com/uploads/Article/file/1002330_sup_1.xlsx.
EVP: Conceptualization, Methodology, Investigation, Formal analysis, Writing—original draft, Writing—review & editing, Visualization. RSM, FAZ, ESS, PRK, JOB, and VIT: Investigation. AAR: Investigation, Formal analysis. IVB: Methodology, Formal analysis. ENI: Conceptualization, Writing—original draft, Writing—review & editing, Supervision. All authors have read and agreed to the published version of the manuscript.
Evgeny N. Imyanitov who is the Editorial Board Member of Exploration of Targeted Anti-tumor Therapy had no involvement in the decision-making or the review process of this manuscript. Other authors declare that they have no conflicts of interest.
The study was conducted in accordance with the Declaration of Helsinki 2013 and approved by the local Ethical Committee of N.N. Petrov Institute of Oncology (Approval Code: 753. Approval Date: 31 October 2023).
Informed consent was obtained from all subjects involved in the study.
Not applicable.
The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
This research has been supported by the Russian Science Foundation, grant number [24-45-10014]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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