Project description:We analyzed mutations in Epidermal Growth Factor Receptor (EGFR) Tyrosine kinase (TK) domain, EGFR expression and gene profiling in prostate carcinoma (PC) in order to find out molecular prognostic markers and supply a proof for EGFR targeted therapies. 100 glyofixx-fixed, paraffin-embedded PC specimens were recovered after radical prostatectomy from locally advanced PC patients. Exons from 18 to 21 of EGFR TK domain were amplified and sequenced. For the entire cohort, EGFR protein evaluation by immunohistochemistry was performed. Gene expression profile was analyzed on 51 out of 100 samples by whole genome microarray. Statistical tests were performed in order to detect any significant association between EGFR iperexpression and prognosis. None out of 100 specimens presented mutations in exon 18; 2 point mutations were identified in exon 19, 5 in exon 20 and 6 in exon 21. In addiction, 58 out of 100 patients had the same silent mutation, at codon 787 in exon 20. EGFR iper-expression was found in 36% of specimens and was significantly associated with biochemical relapse. Gene profiling analysis on mutated samples selected 29 modulated genes differentially expressed between mutated EGFR+ and mutated EGFR- samples; 4 down-regulated genes, EAF2, ABCC4, KLK3 and ANXA3 and one up-regulated gene, FOXC1, are involved in prostate cancer progression. Our findings suggest that a subgroup of PC patients could potentially benefit of EGFR targeted therapies. The EGFR protein evaluation could contribute to identify PC relapsers. Keywords: EGFR expression, TK mutations, target therapy, microarray data.
Project description:Triple negative breast cancer (TNBC) accounts for 15-20% of all breast carcinomas and it is clinically characterized by an aggressive phenotype and bad prognosis. TNBC does not benefit from any targeted therapy, so further characterization is needed to define subgroups with potential therapeutic value. In this work, the proteomes of one hundred twenty-five formalin-fixed paraffin-embedded samples from patients diagnosed with triple negative breast cancer were analyzed by mass spectrometry using data-independent acquisition. Hierarchical clustering, probabilistic graphical models and Significance Analysis of Microarrays were used to characterize molecular groups. Additionally, a predictive signature related with relapse was defined. Two molecular groups with differences in several biological processes as glycolysis, translation and immune response, were defined in this cohort, and a prognostic signature based on the abundance of proteins RBM3 and NIPSNAP1 was defined. This predictor split the population into low-risk and high-risk groups. The differential processes identified between the two molecular groups may serve to design new therapeutic strategies in the future and the prognostic signature could be useful to identify a population at high-risk of relapse that could be directed to clinical trials.
Project description:To understand the molecular mechanisms of human lung macrophage development, function, and role in BPD pathogenesis, we conducted a clinical study using isolated tracheal aspirate macrophages from intubated preterm infants born before 30 wk gestation. One hundred twenty-eight patients intubated for respiratory distress syndrome and surfactant administration were consented for the study.
Project description:We analyzed mutations in Epidermal Growth Factor Receptor (EGFR) Tyrosine kinase (TK) domain, EGFR expression and gene profiling in prostate carcinoma (PC) in order to find out molecular prognostic markers and supply a proof for EGFR targeted therapies. 100 glyofixx-fixed, paraffin-embedded PC specimens were recovered after radical prostatectomy from locally advanced PC patients. Exons from 18 to 21 of EGFR TK domain were amplified and sequenced. For the entire cohort, EGFR protein evaluation by immunohistochemistry was performed. Gene expression profile was analyzed on 51 out of 100 samples by whole genome microarray. Statistical tests were performed in order to detect any significant association between EGFR iperexpression and prognosis. None out of 100 specimens presented mutations in exon 18; 2 point mutations were identified in exon 19, 5 in exon 20 and 6 in exon 21. In addiction, 58 out of 100 patients had the same silent mutation, at codon 787 in exon 20. EGFR iper-expression was found in 36% of specimens and was significantly associated with biochemical relapse. Gene profiling analysis on mutated samples selected 29 modulated genes differentially expressed between mutated EGFR+ and mutated EGFR- samples; 4 down-regulated genes, EAF2, ABCC4, KLK3 and ANXA3 and one up-regulated gene, FOXC1, are involved in prostate cancer progression. Our findings suggest that a subgroup of PC patients could potentially benefit of EGFR targeted therapies. The EGFR protein evaluation could contribute to identify PC relapsers. Keywords: EGFR expression, TK mutations, target therapy, microarray data. In this work we studied mutation status and expression of Epidermal Growth Factor Receptor (EGFR) in a case series of 100 primary prostate cancer tissue specimens. Results indicate that 13% and 36% of PC patients presents EGFR tyrosine kinase domain mutations and iperexpression respectively, suggesting that this receptor could be a therapeutic target in progressive prostate cancer. The analysis of correlation between EGFR protein expression, mutations, clinical parameters and outcome allow us to identify EGFR as significantly associated with biochemical relapse and high Gleason score. Gene expression profiling in 51 of PC tissues led to the identification of a gene list which separated EGFR mutated patients according to EGFR protein expression. These results could give more information on clinical outcome and possible development of new targeted therapies.
Project description:No targeted treatments are currently approved for HER2 exon 20 insertion-mutant lung adenocarcinoma patients. Mobocertinib (TAK-788) is a potent irreversible tyrosine kinase inhibitor (TKI) designed to target human epidermal growth factor receptor 2 (HER2/ERBB2) exon 20 insertion mutations. However, the function of mobocertinib on HER2 exon 20 insertion-mutant lung cancer is still unclear. Here we conducted systematic characterization of preclinical models to understand the activity profile of mobocertinib against HER2 exon 20 insertions. In HER2 exon 20 insertion-mutant cell lines, the IC50 of mobocertinib was higher than poziotinib and comparable with or slightly lower than afatinib, neratinib, and pyrotinib. Mobocertinib had the lowest HER2 exon 20 insertion IC50/wild-type (WT) EGFR IC50 ratio, indicating that mobocertinib displayed the best selectivity profile in these models. Also, mobocertinib showed strong inhibitory activity in HER2 exon 20YVMA allograft and patient-derived xenograft models. In genetically engineered mouse models, HER2 exon 20G776>VC lung tumors exhibited a sustained complete response to mobocertinib, whereas HER2 exon 20YVMA tumors showed only partial and transient response. Combined treatment with a second antibody-drug conjugate (ADC) against HER2, ado-trastuzumab emtansine (T-DM1), synergized with mobocertinib in HER2 exon 20YVMA tumors. In addition to the tumor cell autonomous effect, sustained tumor growth control derived from M1 macrophage infiltration and CD4+ T-cell activation. These findings support the ongoing clinical development of mobocertinib (NCT02716116) and provide a rationale for future clinical evaluation of T-DM1 combinational therapy in HER2 exon 20YVMA insertion-mutant lung adenocarcinoma patients. SIGNIFICANCE: This study elucidates the potent inhibitory activity of mobocertinib against HER2 exon 20 insertion-mutant lung cancer and the synergic effect of combined mobocertinib and T-DM1, providing a strong rationale for clinical investigation.
Project description:One hundred and seven lung Squamous Cell Carcinomas collected from early stage (stage I+II; AJCC 7th edition) patients at the National Cancer Center Hospital (Tokyo, Japan) between 1997 and 2008 were hybridized to the Human Transcriptome (HT) Array 2.0
Project description:AD is the leading cause of dementia in the elderly. However, disease etiology is still practically unknown. To gain insight into the molecular mechanisms underlying this disease we used the Affymetrix exon arrays to profile the alternative splicing landscape of human entorhinal cortex samples from AD patients and controls. We found a few hundred events of alternative spicing that characterize the AD entorhinal cortex and may have profound effect on the pathogenesis of this disease. Expression was analyzed using Affymetrix Human Exon 1 S.T arrays samples from 3 female NDCs and 3 female AD patients were included in this study
Project description:AD is the leading cause of dementia in the elderly. However, disease etiology is still practically unknown. To gain insight into the molecular mechanisms underlying this disease we used the Affymetrix exon arrays to profile the alternative splicing landscape of human entorhinal cortex samples from AD patients and controls. We found a few hundred events of alternative spicing that characterize the AD entorhinal cortex and may have profound effect on the pathogenesis of this disease. Expression was analyzed using Affymetrix Human Exon 1 S.T arrays
Project description:We report an integrated analysis incorporating DNA copy number analyses, somatic exon mutations, mRNA expression via RNA-sequencing, and shotgun mass spectrometry analysis of protein abundance in 108 surgically resected squamous cell lung cancers (SCC) with accompanying clinical outcome, evaluation of tumor pathology, and other clinically relevant data. We identified three major subtypes of SCC at the proteomic level, with two groups associated with inflammation/immune response or oxidation-reduction biology. Inflamed tumors could be further sub-classified based on neutrophil infiltration or antigen presentation proteomes and reflected patterns of infiltrating immune cells. No gene mutations, mRNA signatures, or proteomic subclasses were associated with outcomes; however, the presence of B-cell rich tertiary lymph node structures could be associated with better patient outcomes. By integrating our proteogenomic data with publicly available RNA interference screen data, we identified TP63, PSAT1, and AKR1C3 as vulnerabilities in SCC, particularly in the redox proteomic group. This cohort and its deep molecular data serves as an important resource to better understand biology and targets associated with SCC.
Project description:Purpose: The primary objective of the current study was to validate biomarkers to identify the 10% to 27% of patients with stage I and 35% of patients with stage IIA squamous cell carcinoma of lung (SC) who are likely to recur following surgical resection, so that these patients may be offered enrollment in clinical trials evaluating directed ACT. A secondary objective was to identify patients with stage IIB SC who are unlikely to develop recurrences and might thereby be spared the potential significant toxicity and expense of ACT. Methods: Two-stage validation used independent core laboratories, objective quality control standards, locked test parameters, and large multi-institutional specimen/data sets. First stage validation confirmed a signature’s ability to stratify patient survival. Second stage validation determined which signature(s) optimally improved risk discrimination when added to baseline clinical predictors. Participants were prospectively enrolled on institutional (Cohort I) or cooperative group (Cohort II) biospecimen/data collection protocols. All cases underwent central review of clinical, pathologic and biospecimen parameters using objective criteria to determine final inclusion (Cohort I: n=249; Cohort II: n=234). Primary selection required that a signature significantly predict 3-years survival after surgery in Cohort I. Signatures meeting this criterion were further tested in Cohort II, comparing risk prediction using baseline risk factors alone versus in combination with the signature. Results: Male sex, advanced age, and higher stage were associated with shorter survival in Cohort I and established a baseline clinical model. Of three signatures validated in Cohort I, one signature was validated in Cohort II and statistically significantly enhanced prognosis relative to the baseline model (C-index difference 0.122; p<0.05). Conclusions: These results represent the first rigorous validation of a test appropriate to direct adjuvant treatment or clinical trials for patients with lung squamous cell carcinoma.