Plasma EBV quantification is associated with the efficacy of immune checkpoint blockade and disease monitoring in patients with primary pulmonary lymphoepithelioma-like carcinoma.

Objectives: Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is a subtype of lung carcinoma associated with the Epstein-Barr virus (EBV). The clinical predictive biomarkers of immune checkpoint blockade (ICB) in PLELC require further investigation. Methods: We prospectively analysed EBV levels in the blood and immune tumor biomarkers of 31 patients with ICB-treated PLELC. Viral EBNA-1 and BamHI-W DNA fragments in the plasma were quantified in parallel using quantitative polymerase chain reaction. Results: Progression-free survival (PFS) was significantly longer in EBNA-1 high or BamHI-W high groups. A longer PFS was also observed in patients with both high plasma EBNA-1 or BamHI-W and PD-L1 ≥ 1%. Intriguingly, the tumor mutational burden was inversely correlated with EBNA-1 and BamHI-W. Plasma EBV load was negatively associated with intratumoral CD8+ immune cell infiltration. Dynamic changes in plasma EBV DNA level were in accordance with the changes in tumor volume. An increase in EBV DNA levels during treatment indicated molecular progression that preceded the imaging progression by several months. Conclusions: Plasma EBV DNA could be a useful and easy-to-use biomarker for predicting the clinical activity of ICB in PLELC and could serve to monitor disease progression earlier than computed tomography imaging.

Anesthetic management for emergency cesarean section in a patient with status epilepticus: A case report.

RATIONALE: The presence of clinically significant repeated maternal epilepsies during pregnancy increases the risk of adverse maternal, fetal and neonatal outcomes. However, there are few guidelines for anesthesiologists to deal with this situation. PATIENT CONCERNS AND DIAGNOSES: A 28-year-old primigravida was transferred to the operating room for emergency cesarean section. Based on the patient's complaints and clinical appearance, provisional diagnosis of preeclampsia at 33 weeks' gestation as well as frequent and repeated grand mal convulsions at 14 years of age were considered. The anesthetic modalities of the disease are also discussed. INTERVENTIONS AND OUTCOMES: Because the usual antiepileptic therapy had failed, the patient with status epilepticus underwent surgery under general anesthesia. The newborn was handed to the pediatrician and the patient was transferred to the intensive care unit for further observation and discharged 4 days later. No peri-operative or anesthetic complications were observed. LESSONS: Providing anesthesia to patients undergoing cesarean section poses major challenges for anesthesiologists. Close monitoring and proper treatment can help reduce risks for both the mother and baby.

[SWI/SNF Complex Gene Mutations Promote the Liver Metastasis 
of Non-small Cell Lung Cancer Cells in NSI Mice].

BACKGROUND: The switch/sucrose nonfermentable chromatin-remodeling (SWI/SNF) complex is a pivotal chromatin remodeling complex, and the genomic alterations (GAs) of the SWI/SNF complex are observed in several cancer types, correlating with multiple biological features of tumor cells. However, their role in liver metastasis of non-small cell lung cancer (NSCLC) remains unclear. Our study aims to investigate the role and potential mechanisms underlying NSCLC liver metastasis induced by the GAs of SWI/SNF complex. METHODS: The GAs of SWI/SNF complex in NSCLC cell lines (H1299, H23 and H460) were identified by whole-exome sequencing (WES). ARID1A knockout H1299 cell was constructed with the CRISPR/Cas9 technology. The mouse model of liver metastasis from NSCLC was established to simulate lung cancer liver metastasis and observe the metastasis rate under different gene mutation conditions. RNA sequencing and Western blot were conducted for differential gene expression analysis. Immunohistochemistry (IHC) analysis was used to assess protein expression levels of SWI/SNF-regulated target molecules in mouse liver metastases. RESULTS: WES analysis revealed intracellular gene mutations. The animal experiments demonstrated a correlation between the GAs of SWI/SNF complex and a higher liver metastasis rate in immunodeficient mice. Transcriptome sequencing and Western blot analysis showed upregulated expression of ALDH1A1 and APOBEC3B in SWI/SNF-mut cells, particularly in ARID1A-deficient H460 and H1299 sgARID1A cells. IHC staining of mouse liver metastases further demonstrated elevated expression of ALDH1A1 in the H460 and H1299 sgARID1A group. CONCLUSIONS: This study underscores the critical role of the GAs of SWI/SNF complex, such as ARID1A and SMARCA4, in promoting liver metastasis of lung cancer cells. The GAs of SWI/SNF complex may promote liver-specific metastasis by upregulating ALDH1A1 and APOBEC3B expression, providing novel insights into the molecular mechanisms underlying lung cancer liver metastasis.

Expression of EGFR-mutant proteins and genomic evolution in EGFR-mutant transformed small cell lung cancer.

Background: The transformation of epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma (LUAD) into small cell lung cancer (SCLC) accounts for 3-14% of the resistance mechanism to EGFR tyrosine kinase inhibitors (TKIs). At present, there is no relevant research to explore the dynamic expression of EGFR-mutant proteins and genomic evolution in EGFR-mutant transformed SCLC/neuroendocrine carcinoma (NEC). Methods: Genetic analysis and protein level analysis by next-generation sequencing (NGS), Whole-exome sequencing (WES) and immunohistochemistry were performed to explore expression of EGFR-mutant proteins and genomic evolution in EGFR-mutant transformed SCLC. The research used three patient-derived organoids (PDOs) to explore the efficacy of combo [chemotherapy (chemo) plus TKI or bevacizumab] treatment. According to the subsequent treatment regimens after SCLC/NEC transformation, 35 patients were divided into chemo (n=21) and combo (n=14) groups. Results: EGFR L858R and EGFR E746-750 del protein expression by immunohistochemistry was 80.0% (4/5) and 100% (6/6), respectively (P=0.455) in initially-transformed tissues. Meanwhile, EGFR-mutant proteins were expressed in 85.7% (6/7) of dynamic rebiopsy tissues or effusion samples after the first transformation. Then, by the pathway enrichment analysis of tissue and plasma NGS, the EGFR-related pathways were still activated after SCLC/NEC transformation. Moreover, WES analysis revealed that transformed SCLC shared a common clonal origin from the baseline LUAD. The drug sensitivity of three PDOs demonstrated potent anti-cancer activity of EGFR-TKIs plus chemo, compared with chemo or TKI alone. There were significant differences in objective response rate (ORR) between the combo and chemo groups [42.9 % vs. 4.8%, P=0.010, 95% confidence interval (CI): 1.5-145.2]. Furthermore, the median post-transformation progression-free survival (pPFS) was significantly prolonged in the combo group, with 5.4 (95% CI: 3.4-7.4) versus 3.5 (95% CI: 2.7-4.3, P=0.012) months. Conclusions: EGFR 19del or L858R-mutant proteins could be constantly expressed, and EGFR pathway still existed in EGFR-mutant transformed SCLC/NEC with a common clonal origin from the baseline LUAD. Taking together, these molecular characteristics potentially favored clinical efficacy in transformed SCLC/NEC treated with the combo regimen.

Prognostic features and comprehensive genomic analysis of NF1 mutations in EGFR mutant lung cancer patients.

OBJECTIVE: NF1 is a tumor suppressor gene that encodes the neurofibromin protein and negatively regulates Ras signaling. This study was aimed to investigate the molecular, clinical characteristics, and prognostic features of NF1 gene in EGFR mutant lung cancer patients. METHOD: The next-generation sequencing (NGS) was used to analyze the data from lung cancer patients in the Guangdong Lung Cancer Institute (GLCI) from June 2016 to December 2020. RESULTS: Somatic NF1 mutations were present in 4.2% (135/3220) of Chinese lung cancer patients. NF1 mutations where clearly enriched in older (p < 0.001), male (p < 0.001), and smoking (p < 0.001) patients. Patients with NF1 mutations were more likely to have TP53 (p = 0.003), BRAF (p = 0.001) and RASA1 (p = 0.026) mutations and mutually exclusive with EGFR mutations (p = 0.006). TP53 mutation had worsen prognosis in cases of NF1 mutant (p = 0.026) or EGFR/NF1 co-mutant (p = 0.031) lung adenocarcinomas (LUAD) patients. There was no effect on overall survival (OS) in LUAD patients with and without NF1 mutations, even in LUAD driver-gene negative patients. NF1/EGFR co-mutation patients had a longer OS than a single mutation of either the EGFR gene (median OS: 47.7 m vs. 30.2 m, hazard ratio [95% CI], 0.47 [0.30-0.74], p = 0.004) or NF1 gene (47.7 m vs. 19.0 m, 0.44 [0.27-0.73], p = 0.003). Furthermore, NF1 mutations significantly prolonged OS in EGFR mutant/TP53 wild-type LUAD patients (106.5 m vs. 25.5 m, 0.28 [0.13-0.59], p = 0.003) but not in patients with EGFR/TP53 co-mutations (36.8 m vs. 30.2 m, 0.70 [0.39-1.26], p = 0.280). CONCLUSION: Our results indicated NF1 mutations served as a good prognostic factor in EGFR mutant/TP53 wild-type lung cancer patients in this single-center study. TP53 mutation was obviously enriched in NF1 mutant patients and had shorter OS.

PD-1/PD-L1 combined with LAG3 is associated with clinical activity of immune checkpoint inhibitors in metastatic primary pulmonary lymphoepithelioma-like carcinoma.

Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is an Epstein-Barr virus (EBV)-related, rare subtype of non-small-cell lung cancer (NSCLC). Immune checkpoint inhibitors (ICI) show durable responses in advanced NSCLC. However, their effects and predictive biomarkers in PLELC remain poorly understood. We retrospectively analyzed the data of 48 metastatic PLELC patients treated with ICI. Pretreated paraffin-embedded specimens (n = 19) were stained for PD-1, PD-L1, LAG3, TIM3, CD3, CD4, CD8, CD68, FOXP3, and cytokeratin (CK) by multiple immunohistochemistry (mIHC). Next-generation sequencing was performed for 33 PLELC samples. Among patients treated with ICI monotherapy (n = 30), the objective response rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), and overall survival (mOS) were 13.3%, 80.0%, 7.7 months, and 24.9 months, respectively. Patients with PD-L1 ≥1% showed a longer PFS (8.4 vs. 2.1 months, p = 0.015) relative to those with PD-L1 <1%. Among patients treated with ICI combination therapy (n = 18), ORR, DCR, mPFS, and mOS were 27.8%, 100.0%, 10.1 months, and 19.7 months, respectively. Patients with PD-L1 ≥1% showed a significantly superior OS than those with PD-L1 <1% (NA versus 11.7 months, p = 0.001). Among the 19 mIHC patients, those with high PD-1/PD-L1 and LAG3 expression showed a longer PFS (19.0 vs. 3.9 months, p = 0.003). ICI also showed promising efficacy for treating metastatic PLELC. PD-L1 may be both predictive of ICI treatment efficacy and prognostic for survival in PLELC. PD-1/PD-L1 combined with LAG3 may serve as a predictor of ICI treatment effectiveness in PLELC. Larger and prospective trials are warranted to validate both ICI activity and predictive biomarkers in PLELC. This study was partly presented as a poster at the IASLC 20th World Conference on Lung Cancer 2019, 7-10 September 2019, Barcelona, Spain.

An integrated biomarker of PD-L1 expression and intraepithelial CD8+ T cell infiltration was associated with the prognosis of lung cancer patients after intracranial resection of brain metastases.

BACKGROUND: Brain metastases (BM) are common in lung cancer. However, data on the status of immune biomarkers in BM lesions remain limited. METHODS: We retrospectively analyzed PD-L1 expression and infiltration levels of CD3+ , CD4+ , CD8+ T cells as biomarkers by immunohistochemistry in both BM lesions and primary lung cancer (PL) lesions of 29 lung cancer (LC) patients. In addition, the correlations between these biomarkers and the clinical outcome were analyzed using log-rank test. RESULTS: Intratumoral heterogeneous expression of PD-L1 was observed on tumor cells (TCs) in 11 cases and on immune cells (ICs) in 10 cases with BM samples from multiple regions. There was a disagreement in PD-L1 expression on TCs between paired BM and PL lesions in 15 cases and on ICs in seven cases. Intraepithelial CD3+ and CD8+ T cell infiltration levels in BM samples were lower than those in the paired PL samples. PD-L1 positivity on both TCs and ICs was associated with a better post-BM-surgery prognosis (p = 0.010; p = 0.041). Notably, PD-L1 positivity on TCs and a high level of intraepithelial CD8+ T cell infiltration could serve as an integrated biomarker that indicates longer survival time (p = 0.004) in LC patients. CONCLUSION: The heterogeneity in PD-L1 expression was common in both stromal and intraepithelial regions in BM lesions of LC patients, suggesting the need for multiregional PD-L1 testing in clinical practice. More importantly, a combination of PD-L1 expression on TCs with intraepithelial CD8+ T cell infiltration might predict better post-BM-surgery outcomes.

TMB and TCR Are Correlated Indicators Predictive of the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer.

Immune characteristics were reported correlated to benefit neoadjuvant chemotherapy (NAC) in breast cancer, yet integration of comprehensive genomic alterations and T-cell receptors (TCR) to predict efficacy of NAC needs further investigation. This study simultaneously analyzed TMB (Tumor Mutation Burden), TCRs, and TILs (tumor infiltrating lymphocyte) in breast cancers receiving NAC was conducted in a prospective cohort (n = 22). The next-generation sequencing technology-based analysis of genomic alterations and TCR repertoire in paired breast cancer samples before and after NAC was conducted in a prospective cohort (n = 22). Fluorescent multiplex immunohistochemistry was used to stain CD4, CD8, PD1, TIM3, and cytokeratins simultaneously in those paired samples. TMB in pretreatment tumor tissues and TCR diversity index are higher in non-pCR patients than in pCR patients (10.6 vs. 2.3; p = 0.043) (2.066 vs. 0.467; p = 0.010). TMB and TCR diversity index had linear correlation (y = 5.587x - 0.881; r = 0.522, p = 0.012). Moreover, infiltrating T cells are significantly at higher presence in pCR versus non-pCR patients. Dynamically, the TMB reduced significantly after therapy in non-pCR patients (p = 0.010) but without TCR index change. The CDR3 peptide AWRSAGNYNEQF is the most highly expressed in pre-NAC samples of pCR patients and in post-NAC samples of non-pCR patients. In addition to pCR, high clonality of TCR and high level of CD8+ expression are associated with disease-free survival (DFS). TCR index and TMB have significant interaction and may guide neo-adjuvant treatment in operable breast cancers. Response to NAC in tumors with high TCR clonality may be attributable to high infiltration and expansion of tumor-specific CD8 positive effector cells.

High SHP2 expression determines the efficacy of PD-1/PD-L1 inhibitors in advanced KRAS mutant non-small cell lung cancer.

BACKGROUND: Src homology region 2 domain-containing phosphatase 2 (SHP2) is a novel target for Kirsten rat sarcoma oncogene (KRAS) mutant cancer. We retrospectively studied the significance of SHP2 in KRAS mutant non-small cell lung cancer (NSCLC) treated with immunotherapy and its relationship with tumor microenvironment (TME). METHODS: Sixty-one advanced KRAS mutant NSCLC patients who underwent immunotherapy were enrolled. Next-generation sequencing (NGS) was used to profile mutation status. The expression of SHP2, phospho-SHP2 (pSHP2), and programmed death ligand 1 (PD-L1) were analyzed by immunohistochemistry (IHC). Quantitative multiplexed immunofluorescence cytochemistry (mIFC) analysis was conducted to describe the TME. RESULTS: SHP2 was heterogeneously expressed in 32 samples in both tumor cells and immune cells and highly expressed (H-score >10) in 25 (78.1%) samples. The expression levels of SHP2 and pSHP2 were positively correlated. Stromal SHP2 (s-SHP2) was higher in tumors with PD-L1 ≥50% versus PD-L1 <50% (p = 0.039). By quantitative mIFC analysis, the expression of s-SHP2 had positive correlation with CD8, CD4, CD68, and PD-L1 levels in stromal area. Patients with high SHP2 expression made up 100.0% of the partial respond (PR) and 80.0% of the stable disease (SD), whereas 50.0% of the progress disease (PD). High SHP2 expression was associated with longer progression-free survival (PFS) and overall survival (OS) (p < 0.001, p = 0.013). Patients with high expression of both SHP2 and PD-L1 had longer PFS (p < 0.001). CONCLUSION: High SHP2 expression could predict the efficacy of immunotherapy and better survival in advanced KRAS mutant NSCLC. SHP2 may function in both tumor cells and immune cells, warranting further study on the potential diverse effects of SHP2 inhibition in TME.

Comparative analysis of target gene exon sequencing by cognitive technology using a next generation sequencing platform in patients with lung cancer.

Next generation sequencing (NGS) technology is an increasingly important clinical tool for therapeutic decision-making. However, interpretation of NGS data presents challenges at the point of care, due to limitations in understanding the clinical importance of gene variants and efficiently translating results into actionable information for the clinician. The present study compared two approaches for annotating and reporting actionable genes and gene mutations from tumor samples: The traditional approach of manual curation, annotation and reporting using an experienced molecular tumor bioinformationist; and a cloud-based cognitive technology, with the goal to detect gene mutations of potential significance in Chinese patients with lung cancer. Data from 285 gene-targeted exon sequencing previously conducted on 115 patient tissue samples between 2014 and 2016 and subsequently manually annotated and evaluated by the Guangdong Lung Cancer Institute (GLCI) research team were analyzed by the Watson for Genomics (WfG) cognitive genomics technology. A comparative analysis of the annotation results of the two methods was conducted to identify quantitative and qualitative differences in the mutations generated. The complete congruence rate of annotation results between WfG analysis and the GLCI bioinformatician was 43.48%. In 65 (56.52%) samples, WfG analysis identified and interpreted, on average, 1.54 more mutation sites in each sample than the manual GLCI review. These mutation sites were located on 27 genes, including EP300, ARID1A, STK11 and DNMT3A. Mutations in the EP300 gene were most prevalent, and present in 30.77% samples. The Tumor Mutation Burden (TMB) interpreted by WfG analysis (1.82) was significantly higher than the TMB (0.73) interpreted by GLCI review. Compared with manual curation by a bioinformatician, WfG analysis provided comprehensive insights and additional genetic alterations to inform clinical therapeutic strategies for patients with lung cancer. These findings suggest the valuable role of cognitive computing to increase efficiency in the comprehensive detection and interpretation of genetic alterations which may inform opportunities for targeted cancer therapies.

Establishment and application of a method of next generation sequencing of 285 genes in lung cancer based on Ion-Proton platform.

BACKGROUND: The development of "precision medicine" needs a novel genetic screening and diagnostic technique for clinical detection. This study aims to establish a method for highly parallel multiplexed detection of genetic mutations in Chinese lung cancer samples through testing 285 genes by customized next generation sequencing (NGS) on Ion-Proton platform. METHODS: We reviewed the related literature and collected data of genomic alteration that occurred in lung cancer. We identified 285 target genes closely related to the pathogenesis, drug resistance, and metastasis of lung cancer. Targeted hybridization probes were designed using SureDesign software. The detection method was established by analyzing four cell lines and 13 lung cancer specimens which had been validated through Sanger sequencing. The sensitivity and specificity of the proposed method were preliminarily evaluated by comparisons with the Sanger sequencing and a LungCarta mutation-detection method. RESULTS: The proposed method was able to detect mutations of 285 genes in lung cancer cell lines and clinical lung cancer specimens. The reads, mapped reads, on target, mean depth and uniformity were 14.90±4.37 (×106), 98.68%±0.61%, 60.49%±10.72%, 714.42±264.13 and 90.51%±6.91%, respectively. The detected mutation result of cell lines was consistent with the observations on previously reported mutations, and the congruence rate was 100%. The proposed method can detect single nucleotide polymorphism (SNP), InDel, Fusion and copy number variation (CNV). The complete congruence rate of detected result of specimens between the proposed method and Sanger sequencing, LungCarta mutation-detection method, immunohistochemistry (IHC), real-time polymerase chain reaction (RT-PCR) method were all 100% regarding mutations in common genes like EGFR, KRAS, or fusions of ALK, RET, etc. In addition, NFE2L3_p.Ser511_Pro513del, ERBB2_E770delinsEAYVM, MET_S701N, PDGFRA_T674I, TP53_G245V, TP53_V274A, TP53_A276F, TP53_G334L, TP53_R337L and TP53_Y220C mutations were detected only through the proposed method. The proposed method can detect mutations from blood, this detection result was consistent with the cancer tissues of the same clinical lung cancer patient. CONCLUSIONS: The proposed Ion-Proton technology-based NGS method can detect genetic mutations in Chinese lung cancer patients. Therefore, the proposed method could be used to detect mutations in other cancer tissues and plasma, which needs further validation.

Low frequency of mutation of epidermal growth factor receptor (EGFR) and arrangement of anaplastic lymphoma kinase (ALK) in primary pulmonary lymphoepithelioma-like carcinoma.

BACKGROUND: Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is a rare and unique subtype of lung cancer. However, the prevalence of driver alterations, such as epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) rearrangements, and the response of tyrosine kinase inhibitor (TKIs) in PLELC has not been thoroughly investigated. METHOD: We retrospectively reviewed the genetic profiles and treatment course of 330 PLELC patients at the Guangdong Lung Cancer Institute (GLCI) from 1st January, 2008 to 30th December, 2018. We searched and analyzed related literature published in PubMed and Web of Science from 1st January, 2000 and 31th August, 2019 based on their mention of "driver mutations" and "the response of TKIs to mutant PLELC". RESULTS: Genetic alterations of EGFR/ALK were tested in 203 patients (203/330, 61.5%). Five patients (5/175, 2.9%) had EGFR mutation and three patients (3/140, 2.1%) had ALK alteration. From the total of 15 articles identified from electronic searches, 1071 PLELC cases mentioned the driver mutations. EGFR mutation and ALK rearrangement were detected in 15 patients and one patient, respectively. In total, there were four EGFR/ALK mutant PLELC patients who received targeted therapy as palliative treatment at the GLCI and in the literature. However, there was disease progression in all cases one month after use of TKIs. CONCLUSION: The mutation rates of EGFR and ALK were low in PLELC. EGFR and ALK TKIs showed limited response in EGFR/ALK mutant PLELC. Further studies are needed to explore other molecular targets to optimize the therapeutic strategy for PLELC.

[Detection of UGT1A1*28 Polymorphism Using Fragment Analysis].

BACKGROUND: Uridine-diphosphoglucuronosyl transferase 1A1 (UGT1A1), UGT1A1*28 polymorphism can reduce UGT1A1 enzymatic activity, which may lead to severe toxicities in patients who receive irinotecan. This study tries to build a fragment analysis method to detect UGT1A1*28 polymorphism. METHODS: A total of 286 blood specimens from the lung cancer patients who were hospitalized in Guangdong General Hospital between April 2014 to May 2015 were detected UGT1A1*28 polymorphism by fragment analysis method. RESULTS: Comparing with Sanger sequencing, precision and accuracy of the fragment analysis method were 100%. Of the 286 patients, 236 (82.5% harbored TA6/6 genotype, 48 (16.8%) TA 6/7 genotype and 2 (0.7%) TA7/7 genotype. CONCLUSIONS: Our data suggest hat the fragment analysis method is robust for detecting UGT1A1*28 polymorphism in clinical practice. It's simple, time-saving, and easy-to-carry.

Molecular characteristics and clinical outcomes of EGFR exon 19 indel subtypes to EGFR TKIs in NSCLC patients.

Patients with non-small cell lung cancer (NSCLC) with activating epidermal growth factor receptor (EGFR) mutations (exon 19 deletions and L858R) benefit from EGFR tyrosine kinase inhibitors (TKIs). However, some researchers have reported that responses to TKIs differ by subtypes of EGFR exon 19 mutations. We retrospectively analyzed EGFR exon 19 deletion subtypes and their correlation with clinical outcomes of treatment with TKIs. A cohort of 2664 consecutive patients with NSCLC was enrolled. A total of 440 EGFR exon 19 deletions were defined as 39 subtypes. Among them, 158 patients with advanced lung adenocarcinoma with EGFR exon 19 deletion mutations received EGFR-TKIs. There were no significant differences in progression-free survival or overall survival among patients with non-LRE deletions, delE746, or delL747 (P = 0.463 and P = 0.464, respectively). Furthermore, two patients with EGFR exon19 insertion had durable response to EGFR-TKIs. In conclusion, EGFR exon 19 is highly fragile, resulting in many different deletion and insertion subtypes. There were no significant differences in clinical outcomes after TKI treatment across the different subtypes. It is necessary to attempt to identify all patients with exon 19 deletions so that they can be offered TKI treatment.