Valproic acid combined with cisplatin-based chemoradiation in locally advanced head and neck squamous cell carcinoma patients and associated biomarkers.

BACKGROUND: Cisplatin-based chemoradiation (CCRT) offers locally advanced head and neck squamous cell carcinoma (LAHNSCC) patients high local control rate, however, relapses are frequent. Our goal was to evaluate if association of valproic acid (VPA), a histone deacetylase (HDAC) inhibitor, with CCRT improved response rate (RR) and associated biomarkers. METHODS: This phase II trial included patients with unresectable locally advanced (LA) oropharynx (OP) squamous cell carcinoma. CCRT began after 2 weeks of VPA (P1). Primary goal was RR at 8 weeks after chemoradiation (CRT)+VPA (P2). Biomarkers included microRNA (miR) polymerase chain reaction (PCR)-array profiling in plasma compared to healthy controls by two-sample t-test. Distribution of p-values was analysed by beta-uniform mixture. Findings were validated by real-time PCR quantitative polymerase chain reaction (qPCR) for selected miRs in plasma and saliva. p16, HDAC2 and RAD23 Homolog B, Nucleotide Excision Repair Protein (HR23B) tumour immunohistochemistry were evaluated. RESULTS: Given significant toxicities, accrual was interrupted after inclusion of ten LA p16 negative OP patients. All were male, smokers/ex-smokers, aged 41-65 and with previous moderate/high alcohol intake. Nine evaluable patients yielded a RR of 88%. At false discovery rate of 5%, 169 miRs were differentially expressed between patients and controls, including lower expression of tumour suppressors (TSs) such as miR-31, -222, -let-7a/b/e and -145. miR-let-7a/e expression was validated by qPCR using saliva. A HDAC2 H-score above 170 was 90% accurate in predicting 6-month disease-free survival. CONCLUSIONS: VPA and CRT offered high RR; however, with prohibitive toxicities, which led to early trial termination. Patients and controls had a distinct pattern of miR expression, mainly with low levels of TS miRs targeting Tumor protein P53 (TP53). miR-let-7a/e levels were lower in patients compared to controls, which reinforces the aggressive nature of such tumours (NCT01695122).

Gene expression profile associated with response to doxorubicin-based therapy in breast cancer.

PURPOSE: This study was designed to identify genes that could predict response to doxorubicin-based primary chemotherapy in breast cancer patients. EXPERIMENTAL DESIGN: Biopsy samples were obtained before primary treatment with doxorubicin and cyclophosphamide. RNA was extracted and amplified and gene expression was analyzed using cDNA microarrays. RESULTS: Response to chemotherapy was evaluated in 51 patients, and based on Response Evaluation Criteria in Solid Tumors guidelines, 42 patients, who presented at least a partial response (> or =30% reduction in tumor dimension), were classified as responsive. Gene profile of samples, divided into training set (n = 38) and independent validation set (n = 13), were at first analyzed against a cDNA microarray platform containing 692 genes. Unsupervised clustering could not separate responders from nonresponders. A classifier was identified comprising EMILIN1, FAM14B, and PBEF, which however could not correctly classify samples included in the validation set. Our next step was to analyze gene profile in a more comprehensive cDNA microarray platform, containing 4,608 open reading frame expressed sequence tags. Seven samples of the initial training set (all responder patients) could not be analyzed. Unsupervised clustering could correctly group all the resistant samples as well as at least 85% of the sensitive samples. Additionally, a classifier, including PRSS11, MTSS1, and CLPTM1, could correctly distinguish 95.4% of the 44 samples analyzed, with only two misclassifications, one sensitive sample and one resistant tumor. The robustness of this classifier is 2.5 greater than the first one. CONCLUSION: A trio of genes might potentially distinguish doxorubicin-responsive from nonresponsive tumors, but further validation by a larger number of samples is still needed.

Molecular targets of 1,25(OH)2D3 in HC11 normal mouse mammary cell line.

Our aim was to determine the molecular targets involved in the antiproliferative effects of 1,25-dihydroxyvitamin D(3) (1,25(OH)(2)D(3)), in a normal murine mammary epithelial cell line, HC11. Among the early response genes analyzed, c-myc, junB, junD, c-jun, c-fos, fosB, fra, as well as max, mad1-4, sin3, only c-jun and fra-2 mRNAs were up-regulated after 1,25(OH)(2)D(3) exposure. Cyclin C was reduced and cyclin A2 and E were slightly enhanced; however, cyclins D1, D3, B1, B2, F, G1, G2, I and H, as well as TGF beta 1, TGF beta 3, T beta RI and T beta RII transcripts were not modulated by 1,25(OH)(2)D(3). Although p27(KIP1) protein content was unchanged, enhancement of p21(WAF1/CIP1) low basal levels in cell extracts and IGFBP-3 abundance on the culture medium was detected after 1,25(OH)(2)D(3) induction. Using differential display analysis, we identified eight down-modulated clones in exposed cells: 26S proteasome non-ATPase subunit Pad1, ubiquitin-conjugating enzyme Ube2i, extracellular proteinase inhibitor Expi or Wdnm1, cytochrome-c oxidase Cox7c, microtubule-associated protein-1 light chain-3 (Map1lc3), nascent-associated complex alpha Naca, transforming acidic coiled-coil Tacc3, stearoyl-CoA desaturase (Scd), keratin 6 alpha, and 1 up-regulated, fork head transcription factor Hfh-1L. Hence, the antiproliferative effect of 1,25(OH)(2)D(3) seems associated to enhancement of c-jun, Fra-2, IGFBP3 and p21(WAF1/CIP1). Decreased Pad1 and Ube2i might account for increased stability of cell cycle inhibitory proteins while reduced Wdnm1, Tacc3 and Scd might be secondary to accumulation of cells in G0/G1 phase.

ERCC1 protein, mRNA expression and T19007C polymorphism as prognostic markers in head and neck squamous cell carcinoma patients treated with surgery and adjuvant cisplatin-based chemoradiation.

Adjuvant cisplatin-based chemoradiation improves survival in HNSCC patients presenting with risk features. ERCC1 (excision repair cross-complementation group 1) is associated with resistance to chemo- and radiation therapy and may have a prognostic value in HNSCC patients. Here we studied ERCC1 expression and the polymorphism T19007C as prognostic markers in these patients. This is a retrospective and translational analysis, where ERCC1 protein expression was evaluated by immunohistochemistry, using an H-score, and mRNA expression was determined by RT-PCR. T19007C genotypes were detected by PCR-RFLP carried out using DNA template extracted from normal lymph nodes. A high H-score was seen in 32 patients (54%), who presented better 5-year overall survival (5-y OS: 50% vs. 18%, HR 0.43, p=0.026). Fifteen out of 45 patients (33%), with high mRNA expression, presented better 5-year overall survival (OS) (86% vs. 30%, HR 0.26, p=0.052). No OS difference was detected among T19007C genotypes. High H-score and mRNA expression remained significant as favorable prognostic factors in a multivariate analysis. Collectively, our results suggest that high ERCC1 expression seems to be associated with better OS rates in HNSCC patients submitted to adjuvant cisplatin-based chemoradiation.

Transcriptional profile and response to neoadjuvante chemotherapy in breast cancer.

OBJECTIVE: To improve the accuracy predictive models of response to neoadjuvante chemotherapy in breast cancer, cDNA microarray technology was used to study tumor transcriptional profile. Gene signatures associated with predicting the response to neoadjuvante chemotherapy are the subject of this review. METHODS: The data base http://www.ncbi.nlm.nih.gov/pubmed/ search was conducted by using the words "breast cancer" AND "neoadjuvante/primary chemotherapy" AND "gene expression profile/microarray". After excluding the repeats and selecting the publications considered most relevant by the authors to be presented, 279 publications were retrieved. RESULTS: The number of publications regarding this subject has been increasing over the years, reaching over 50 in 2010, including the response to different chemotherapeutic drugs, such as anthracyclines and taxanes either alone or in combination. The first studies are from early last decade and used microarray platforms produced by the investigators. Recent studies have used commercial microarray platforms whose data have been stored in public databases, allowing for the analysis of a higher number of samples. Several transcriptional profiles associated with the complete pathological response were identified. Other authors used the clinical response to treatment as an endpoint, and, in this case, a predictive panel of resistance to the chemotherapeutic regimen at issue was determined. This is also a key issue, as it can contribute to individualize treatment, allowing patients resistant to a certain chemotherapeutic agent to be offered another therapeutic regimen. CONCLUSION: Identifying patients responsive to chemotherapy is of essential interest and despite major steps have been taken, the issue warrants further studies in view of its complexity.

Perfil transcricional e resposta à quimioterapia neoadjuvante em câncer de mama / Transcriptional profile and response to neoadjuvante chemotherapy in breast cancer

OBJETIVO: Na tentativa de melhorar a acurácia dos modelos preditivos de resposta à quimioterapia neoadjuvante em câncer de mama, utilizou-se a tecnologia de cDNA microarray para determinar o perfil transcricional dos tumores. A avaliação de assinaturas gênicas, associadas à predição de resposta à quimioterapia neoadjuvante, é o objeto desta revisão. MÉTODOS: Foi realizada busca no banco de dados eletrônico http://www.ncbi.nlm.nih.gov/pubmed/, usando as palavras "breast cancer" AND "neoadjuvant/primary chemotherapy" AND "gene expression profile/microarray". Recuperaram-se 279 publicações, excluindo-se as repetições, selecionando-se para exposição aquelas consideradas mais relevantes pelos autores. RESULTADOS: O número de publicações acerca desse assunto vem crescendo ao longo dos anos, chegando a mais de 50 em 2010, abordando resposta a diferentes quimioterápicos como antraciclinas, taxanos, isoladamente ou em associação. Os primeiros estudos são do início da década passada e utilizaram plataformas de microarray produzidas pelos pesquisadores. Trabalhos mais recentes utilizam plataformas de microarray comerciais, cujos dados são depositados em bancos públicos, permitindo análise de um número maior de amostras. Foram identificados vários perfis transcricionais associados à resposta patológica completa. Outros autores utilizaram como desfecho a resposta clínica ao tratamento, determinando, nesse caso, um painel preditivo de resistência ao esquema quimioterápico em questão. Essa questão também é fundamental, pois pode contribuir para individualizar o tratamento, permitindo que pacientes resistentes a determinado agente quimioterápico sejam submetidos a outro esquema terapêutico. CONCLUSÃO: A identificação de pacientes responsivos à quimioterapia é de fundamental interesse e, apesar de passos importantes terem sido dados, o assunto merece estudos adicionais em vista de sua complexidade.

OBJECTIVE: To improve the accuracy predictive models of response to neoadjuvante chemotherapy in breast cancer, cDNA microarray technology was used to study tumor transcriptional profile. Gene signatures associated with predicting the response to neoadjuvante chemotherapy are the subject of this review. METHODS: The data base http://www.ncbi.nlm.nih.gov/pubmed/ search was conducted by using the words "breast cancer" AND "neoadjuvante/primary chemotherapy" AND "gene expression profile/microarray". After excluding the repeats and selecting the publications considered most relevant by the authors to be presented, 279 publications were retrieved. RESULTS: The number of publications regarding this subject has been increasing over the years, reaching over 50 in 2010, including the response to different chemotherapeutic drugs, such as anthracyclines and taxanes either alone or in combination. The first studies are from early last decade and used microarray platforms produced by the investigators. Recent studies have used commercial microarray platforms whose data have been stored in public databases, allowing for the analysis of a higher number of samples. Several transcriptional profiles associated with the complete pathological response were identified. Other authors used the clinical response to treatment as an endpoint, and, in this case, a predictive panel of resistance to the chemotherapeutic regimen at issue was determined. This is also a key issue, as it can contribute to individualize treatment, allowing patients resistant to a certain chemotherapeutic agent to be offered another therapeutic regimen. CONCLUSION: Identifying patients responsive to chemotherapy is of essential interest and despite major steps have been taken, the issue warrants further studies in view of its complexity.

Retinoides no tratamento e quimioprevencao do cancer / Retinoids in cancer therapy and prevention

Na presente revisao discute-se o valor dos retinoides e da vitamina D3 na quimioprevencao do cancer. Aborda-se alguns aspectos clinicos e da biologia dessas substancias