Recurrent inactivating mutations of ARID2 in non-small cell lung carcinoma.

In eukaryotic cells, DNA is packaged into chromatin and this compact storage in the nucleus promotes transcriptional repression of genes. Chromatin remodeling complexes such as the SWI/SNF complex are involved in making DNA accessible to transcription factors and thereby are implicated in the regulation of gene expression. Mutations and altered expression of chromatin remodeling complex genes have been described in cancer cells. Indeed, non-small cell lung cancer cell lines have been shown to harbor mutations in SMARCA4 (BRG1), a member of the SWI/SNF complex, but evidence has been less clear in primary tumors. Recently, inactivating mutations in AT-rich interaction domain 2 (ARID2) were found in liver cancer related to HCV infection and in melanoma. Here, we explored, using a genome-wide strategy and subsequent sequencing of targeted genes, whether chromatin remodeling is implicated in primary lung adenocarcinoma. Two genes were individualized from the genome screening as homozygously deleted in a set of samples: JARID2 and ARID2. Subsequent analysis of the entire coding sequences showed that ARID2 loss-of-function mutations were found in 5% of nonsmall cell lung cancers, thereby constituting one of the most frequently mutated genes in this cancer type after TP53, KRAS, EGFR, CDKN2A and STK11.

Multiplex picodroplet digital PCR to detect KRAS mutations in circulating DNA from the plasma of colorectal cancer patients.

BACKGROUND: Multiplex digital PCR (dPCR) enables noninvasive and sensitive detection of circulating tumor DNA with performance unachievable by current molecular-detection approaches. Furthermore, picodroplet dPCR facilitates simultaneous screening for multiple mutations from the same sample. METHODS: We investigated the utility of multiplex dPCR to screen for the 7 most common mutations in codons 12 and 13 of the KRAS (Kirsten rat sarcoma viral oncogene homolog) oncogene from plasma samples of patients with metastatic colorectal cancer. Fifty plasma samples were tested from patients for whom the primary tumor biopsy tissue DNA had been characterized by quantitative PCR. RESULTS: Tumor characterization revealed that 19 patient tumors had KRAS mutations. Multiplex dPCR analysis of the plasma DNA prepared from these samples identified 14 samples that matched the mutation identified in the tumor, 1 sample contained a different KRAS mutation, and 4 samples had no detectable mutation. Among the tumor samples that were wild type for KRAS, 2 KRAS mutations were identified in the corresponding plasma samples. Duplex dPCR (i.e., wild-type and single-mutation assay) was also used to analyze plasma samples from patients with KRAS-mutated tumors and 5 samples expected to contain the BRAF (v-raf murine sarcoma viral oncogene homolog B) V600E mutation. The results for the duplex analysis matched those for the multiplex analysis for KRAS-mutated samples and, owing to its higher sensitivity, enabled detection of 2 additional samples with low levels of KRAS-mutated DNA. All 5 samples with BRAF mutations were detected. CONCLUSIONS: This work demonstrates the clinical utility of multiplex dPCR to screen for multiple mutations simultaneously with a sensitivity sufficient to detect mutations in circulating DNA obtained by noninvasive blood collection.

Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse.

Background: The Regional Basis of Solid Tumor (RBST), a clinical data warehouse, centralizes information related to cancer patient care in 5 health establishments in 2 French departments. Purpose: To develop algorithms matching heterogeneous data to "real" patients and "real" tumors with respect to patient identification (PI) and tumor identification (TI). Methods: A graph database programed in java Neo4j was used to build the RBST with data from ~20 000 patients. The PI algorithm using the Levenshtein distance was based on the regulatory criteria identifying a patient. A TI algorithm was built on 6 characteristics: tumor location and laterality, date of diagnosis, histology, primary and metastatic status. Given the heterogeneous nature and semantics of the collected data, the creation of repositories (organ, synonym, and histology repositories) was required. The TI algorithm used the Dice coefficient to match tumors. Results: Patients matched if there was complete agreement of the given name, surname, sex, and date/month/year of birth. These parameters were assigned weights of 28%, 28%, 21%, and 23% (with 18% for year, 2.5% for month, and 2.5% for day), respectively. The algorithm had a sensitivity of 99.69% (95% confidence interval [CI] [98.89%, 99.96%]) and a specificity of 100% (95% CI [99.72%, 100%]). The TI algorithm used repositories, weights were assigned to the diagnosis date and associated organ (37.5% and 37.5%, respectively), laterality (16%) histology (5%), and metastatic status (4%). This algorithm had a sensitivity of 71% (95% CI [62.68%, 78.25%]) and a specificity of 100% (95% CI [94.31%, 100%]). Conclusion: The RBST encompasses 2 quality controls: PI and TI. It facilitates the implementation of transversal structuring and assessments of the performance of the provided care.

DeltaN TP63 reactivation, epithelial phenotype maintenance, and survival in lung squamous cell carcinoma.

Genes, active during normal development, are frequently reactivated during neoplastic transformation and may be related to progression. One of them, the transcription factor TP63, is crucial for pulmonary epithelial development and a possible target of the recurrent 3q amplifications in lung squamous cell carcinoma (SCC). Here, we explored whether TP63 reactivation could be associated to cancer progression in lung SCC through an epithelial to mesenchymal transition. We studied TP63 amplification and TP63 expression at RNA and protein levels and we analyzed the ΔNTP63/TATP63 ratio that quantifies the proportion of the isoform lacking the transactivation domain/the isoform containing the transactivation domain. We correlated TP63 status to survival and to the expression of epithelial (E-cadherin and plakoglobin) and mesenchymal (N-cadherin, vimentin, TWIST1, and SNAIL) markers. We found that high ΔN/TA TP63 ratio was related to high E-cadherin and plakoglobin mRNA levels (P < 0.05) and that E-cadherin mRNA level was the only marker related to survival. Kaplan-Meier survival curves stratified according to the expression level of E-cadherin showed, as already reported in breast cancer, that patients with low (first quartile) or high (last quartile) E-cadherin expression had a worse survival with respect to patients with intermediate E-cadherin expression. Altogether, our results indicate that a reactivation of ΔNTP63 is linked to the maintenance of epithelial markers and suggest that E-cadherin has a dual role in lung SCC.

Competitive allele specific TaqMan PCR for KRAS, BRAF and EGFR mutation detection in clinical formalin fixed paraffin embedded samples.

BACKGROUND: The development of targeted therapies has created a need for robust molecular characterization of cancer and it has become a challenge to validate methods to ensure accuracy in tumor mutation testing. METHODS: The current study was designed to evaluate KRAS, BRAF and EGFR genotyping by Competitive Allele Specific hydrolysis probes (TaqMan) PCR technology (CAST), on suboptimal formalin fixed paraffin embedded (FFPE) tumor samples. Assays were calibrated on FFPE samples and a minimal quantification cycle (Cq) cut-off was determined to standardize analyses and avoid over-interpretation of degraded material. Sensibility, specificity and blinded clinical sample screenings (n=63) were evaluated. RESULTS: CAST PCR allowed efficient amplification of FFPE samples, probes were highly specific and all assays had a sensibility inferior to 1% except for the EGFR p.T790M assay. 60/63 samples were correctly typed. The three missed mutations were EGFR exon 19 deletions that were not recognized by the DEL19 assays that were used. CONCLUSIONS: This technology is less laborious and prevent crossover of PCR products as compared to multistep methods. TaqMan® Mutation Detection assay is an important technology to consider in the field of mutation detection for KRAS, BRAF and EGFR point mutation screening. Assay calibration on FFPE samples may prevent erroneous interpretations that will ultimately harm clinical oncology practice.

No somatic genetic change in the paxillin gene in nonsmall-cell lung cancer.

The paxillin gene (PXN) encodes a focal adhesion associated protein that could be involved in the progression of lung cancer through its interactions with the actin cytoskeleton and key signal transduction oncogenes. PXN mutations and PXN amplifications were recently identified in nonsmall-cell lung cancer (NSCLC) and amplifications were associated with MET increased copy number. The description of tumors with two to three mutations in the PXN gene and the overrepresentation of GC to AT transitions were unexpected and needed confirmation. The aim of this study was to validate the incidence of PXN somatic alterations in NSCLC and to correlate them to other common genetic alterations. PXN mutations and copy number changes at PXN, EGFR, and MET loci were analyzed on DNAs from frozen tumor samples (n = 159) that had been previously screened for mutations at EGFR, KRAS, BRAF, ERBB2, STK11, PIK3CA, and TP53. We found PXN polymorphisms including nonsynonymous ones but no PXN amplification and only 1/159 (<1%) somatic tumor mutation F416L. In conclusion, we do not deny the possible involvement of PXN in cancer but our findings do not support a major role for PXN somatic changes in lung carcinogenesis.

Epithelial-to-Mesenchymal Transition and MicroRNAs in Lung Cancer.

Despite major advances, non-small cell lung cancer (NSCLC) remains the major cause of cancer-related death in developed countries. Metastasis and drug resistance are the main factors contributing to relapse and death. Epithelial-to-mesenchymal transition (EMT) is a complex molecular and cellular process involved in tissue remodelling that was extensively studied as an actor of tumour progression, metastasis and drug resistance in many cancer types and in lung cancers. Here we described with an emphasis on NSCLC how the changes in signalling pathways, transcription factors expression or microRNAs that occur in cancer promote EMT. Understanding the biology of EMT will help to define reversing process and treatment strategies. We will see that this complex mechanism is related to inflammation, cell mobility and stem cell features and that it is a dynamic process. The existence of intermediate phenotypes and tumour heterogeneity may be debated in the literature concerning EMT markers, EMT signatures and clinical consequences in NSCLC. However, given the role of EMT in metastasis and in drug resistance the development of EMT inhibitors is an interesting approach to counteract tumour progression and drug resistance. This review describes EMT involvement in cancer with an emphasis on NSCLC and microRNA regulation.

Different prognostic impact of STK11 mutations in non-squamous non-small-cell lung cancer.

STK11 is commonly mutated in lung cancer. In light of recent experimental data showing that specific STK11 mutants could acquire oncogenic activities due to the synthesis of a short STK11 isoform, we investigated whether this new classification of STK11 mutants could help refine its role as a prognostic marker. We conducted a retrospective high-throughput genotyping study in 567 resected non-squamous non-small-cell lung cancer (NSCLC) patients. STK11 exons 1 or 2 mutations (STK11ex1-2) with potential oncogenic activity were analyzed separately from exons 3 to 9 (STK11ex3-9). STK11ex1-2 and STK11ex3-9 mutations occurred in 5% and 14% of NSCLC. STK11 mutated patients were younger (P = .01) and smokers (P< .0001). STK11 mutations were significantly associated with KRAS and inversely with EGFR mutations. After a median follow-up of 7.2 years (95%CI 6.8-.4), patients with STK11ex1-2 mutation had a median OS of 24 months (95%CI 15-57) as compared to 69 months (95%CI 56-93) for wild-type (log-rank, P = .005) and to 91 months (95%CI 57-unreached) for STK11ex3-9 mutations (P = .003). In multivariate analysis, STK11ex1-2 mutations remained associated with a poor prognosis (P = .002). Results were validated in two public datasets. Western blots showed that STK11ex1-2 mutatedtumors expressed short STK11 isoforms. Finally using mRNAseq data from the TCGA cohort, we showed that a stroma-derived poor prognosis signature was enriched in STK11ex1-2 mutated tumors. All together our results show that STK11ex1-2 mutations delineate an aggressive subtype of lung cancer for which a targeted treatment through STK11 inhibition might offer new opportunities.

ERBB2 gene as a potential therapeutic target in small bowel adenocarcinoma.

AIM OF THE STUDY: Small bowel adenocarcinoma (SBA) is a rare and aggressive tumour with poor outcomes. Because of its low incidence, the number prospective studies remains insufficient leading to poor knowledge and absence of standard of care. Aiming to better understand small bowel carcinogenesis we investigated the frequency of somatic mutations in a large data set of patients in more than 740 mutational hotspots among 46 genes. METHODS: In total, 83 SBA cases were selected from two European databases. The sequencing was performed using the Ion 316 Chip. Additionally we looked into ERBB2 expression and microsatellite instability (MSI) status. RESULTS: The tumours most frequently were duodenal (47%) and stage ⩾3 (63%). Eight genes were mutated with a frequency >5%: KRAS, TP53, APC, SMAD4, PIK3CA, ERBB2, BRAF and FBXW7. ERBB2 alterations are present in 10 patients (12%) through mutations (7 cases) or amplifications (3 cases). ERBB2 mutations were significantly associated with duodenal tumour location (P=0.04). In this group, there was a positive association with dMMR status (P=0.006) and APC mutation (P=0.02) but negative association with p53 mutations (P=0.038). CONCLUSIONS: This study describes the first large screening of somatic mutations in SBA using next generation sequencing. The ERBB2 mutation was revealed to be one of the most frequent alterations in SBA with a distribution dependent on tumour location. In most cases ERBB2 mutation was identical (p.L755S). In clinical practice, this may suggest that more than 10% of the patients with SBA could be treated using an anti-ERBB2-targeted agent.

Histologic subtypes, immunohistochemistry, FISH or molecular screening for the accurate diagnosis of ALK-rearrangement in lung cancer: a comprehensive study of Caucasian non-smokers.

EML4-ALK adenocarcinomas constitute a new molecular subgroup of lung tumours that respond very well to crizotinib, an ALK inhibitor. However, the diagnosis of ALK rearrangement in lung cancer is challenging. The aim of this study was to compare the diagnostic accuracy of five different methods in a series of 20 EGFR(wt/wt) lung adenocarcinomas from non- or light- smokers. Multiplex RT-PCR was considered as gold standard and identified four ALK-rearranged tumours among the 20 tested tumours. qRT-PCR got an interpretability rate of 100% and accurately typed all 20 tumours. qRT-PCR from corresponding formalin-fixed paraffin-embedded (FFPE) specimens got an interpretability rate of 65%. Out of the four previously identified ALK-rearranged cases, three were interpretable and two were retrieved using FFPE qRT-PCR. ALK break-apart FISH got an interpretability rate of 60% and accurately typed all of the twelve remaining cases. Anti-ALK immunohistochemistry (IHC) accurately typed all twenty tumours using a cut-off value of strong staining of 100% tumour cells. The 16 non ALK-rearranged tumours got no/light staining in 13 cases, and a moderate staining of 80-100% tumour cells in 3 cases. We then analysed four solid signet-ring lung adenocarcinomas. FFPE qRT-PCR, FISH and immunohistochemistry were concordant in three cases, with positive and negative results in respectively one and two cases. The fourth case, which was positive by FISH and immunohistochemistry but negative by RT-PCR, was shown to have a non-EML4-ALK ALK-rearrangement. As various factors such as RNA quality, fixation quality and type of ALK rearrangement may impede ALK screening, we propose a combined FISH/molecular biology diagnostic algorithm in which anti-ALK immunohistochemistry is used as a pre-screening step.

TWIST1 a new determinant of epithelial to mesenchymal transition in EGFR mutated lung adenocarcinoma.

Metastasis is a multistep process and the main cause of mortality in lung cancer patients. We previously showed that EGFR mutations were associated with a copy number gain at a locus encompassing the TWIST1 gene on chromosome 7. TWIST1 is a highly conserved developmental gene involved in embryogenesis that may be reactivated in cancers promoting both malignant conversion and cancer progression through an epithelial to mesenchymal transition (EMT). The aim of this study was to investigate the possible implication of TWIST1 reactivation on the acquisition of a mesenchymal phenotype in EGFR mutated lung cancer. We studied a series of consecutive lung adenocarcinoma from Caucasian non-smokers for which surgical frozen samples were available (n = 33) and showed that TWIST1 expression was linked to EGFR mutations (P<0.001), to low CDH1 expression (P<0.05) and low disease free survival (P = 0.044). To validate that TWIST1 is a driver of EMT in EGFR mutated lung cancer, we used five human lung cancer cell lines and demonstrated that EMT and the associated cell mobility were dependent upon TWIST1 expression in cells with EGFR mutation. Moreover a decrease of EGFR pathway stimulation through EGF retrieval or an inhibition of TWIST1 expression by small RNA technology reversed the phenomenon. Collectively, our in vivo and in vitro findings support that TWIST1 collaborates with the EGF pathway in promoting EMT in EGFR mutated lung adenocarcinoma and that large series of EGFR mutated lung cancer patients are needed to further define the prognostic role of TWIST1 reactivation in this subgroup.

Genome wide SNP comparative analysis between EGFR and KRAS mutated NSCLC and characterization of two models of oncogenic cooperation in non-small cell lung carcinoma.

BACKGROUND: Lung cancer with EGFR mutation was shown to be a specific clinical entity. In order to better understand the biology behind this disease we used a genome wide characterization of loss of heterozygosity and amplification by Single Nucleotide Polymorphism (SNP) Array analysis to point out chromosome segments linked to EGFR mutations. To do so, we compared genetic profiles between EGFR mutated adenocarcinomas (ADC) and KRAS mutated ADC from 24 women with localized lung cancer. RESULTS: Patterns of alterations were different between EGFR and KRAS mutated tumors and specific chromosomes alterations were linked to the EGFR mutated group. Indeed chromosome regions 14q21.3 (p = 0.027), 7p21.3-p21.2 (p = 0.032), 7p21.3 (p = 0.042) and 7p21.2-7p15.3 (p = 0.043) were found significantly amplified in EGFR mutated tumors. Within those regions 3 genes are of special interest ITGB8, HDAC9 and TWIST1. Moreover, homozygous deletions at CDKN2A and LOH at RB1 were identified in EGFR mutated tumors. We therefore tested the existence of a link between EGFR mutation, CDKN2A homozygous deletion and cyclin amplification in a larger series of tumors. Indeed, in a series of non-small-cell lung carcinoma (n = 98) we showed that homozygous deletions at CDKN2A were linked to EGFR mutations and absence of smoking whereas cyclin amplifications (CCNE1 and CCND1) were associated to TP53 mutations and smoking habit. CONCLUSION: All together, our results show that genome wide patterns of alteration differ between EGFR and KRAS mutated lung ADC, describe two models of oncogenic cooperation involving either EGFR mutation and CDKN2A deletion or cyclin amplification and TP53 inactivating mutations and identified new chromosome regions at 7p and 14q associated to EGFR mutations in lung cancer.