A systematic review of personalized therapy in patients with advanced cancer

Background: An increased understanding of the pathogenesis of cancer at the molecular level has led to the development of personalized cancer therapy based on the mutation status of the tumor. Tailoring treatments to genetic signatures has improved treatment outcomes in patients with advanced cancer. We conducted a meta-analysis to provide a quantitative summary of the response to treatment on a phase I clinical trial matched to molecular aberration in patients with advanced solid tumors. ^ Methods: Original studies that reported the results of phase I clinical trials in patients with advanced cancer treated with matched anti-cancer therapies between January 2006 and November 2011 were identified through an extensive search of Medline, Embase, Web of Science and Cochrane Library databases. Odds Ratio (OR) with 95% confidence interval (CI) was estimated for each study to assess the strength of an association between objective response rate (ORR) and mutation status. Random effects model was used to estimate the pooled OR and their 95% CI was derived. Funnel plot was used to assess publication bias. ^ Results: Thirteen studies published between January 2006 and November 2011that reported on responses to matched phase I clinical trials in patients with advanced cancer were included in the meta-analysis. Nine studies reported on the responses seen in 538 of the 835 patients with driver mutations responsive to therapy and seven studies on the responses observed in 234 of the 306 patients with mutation predictive for negative response. Random effects model was used to estimate pooled OR, which was 7.767(95% CI = 4.199 − 14.366; p-value=0.000) in patients with activating mutations that were responsive to therapy and 0.287 (95% CI = 0.119 − 0.694; p-value=0.009) in patients with mutation predictive of negative response. ^ Conclusion: It is evident from the meta-analysis that somatic mutations present in tumor tissue of patients are predictive of responses to therapy in patients with advanced cancer in phase I setting. Plethora of research and growing evidence base indicate that selection of patients based on mutation analysis of the tumor and personalizing therapy is a step forward in the war against cancer.^

Differential Activity of the KRAS Oncogene by Method of Activation: Implications for Signaling and Therapeutic Intervention

Despite having been identified over thirty years ago and definitively established as having a critical role in driving tumor growth and predicting for resistance to therapy, the KRAS oncogene remains a target in cancer for which there is no effective treatment. KRas is activated b y mutations at a few sites, primarily amino acid substitutions at codon 12 which promote a constitutively active state. I have found that different amino acid substitutions at codon 12 can activate different KRas downstream signaling pathways, determine clonogenic growth potential and determine patient response to molecularly targeted therapies. Computer modeling of the KRas structure shows that different amino acids substituted at the codon 12 position influences how KRas interacts with its effecters. In the absence of a direct inhibitor of mutant KRas several agents have recently entered clinical trials alone and in combination directly targeting two of the common downstream effecter pathways of KRas, namely the Mapk pathway and the Akt pathway. These inhibitors were evaluated for efficacy against different KRAS activating mutations. An isogenic panel of colorectal cells with wild type KRas replaced with KRas G12C, G12D, or G12V at the endogenous loci differed in sensitivity to Mek and Akt inhibition. In contrast, screening was performed in a broad panel of lung cell lines alone and no correlation was seen between types of activating KRAS mutation due to concurrent oncogenic lesions. To find a new method to inhibit KRAS driven tumors, siRNA screens were performed in isogenic lines with and without active KRas. The knockdown of CNKSR1 (CNK1) showed selective growth inhibition in cells with an oncogenic KRAS. The deletion of CNK1 reduces expression of mitotic cell cycle proteins and arrests cells with active KRas in the G1 phase of the cell cycle similar to the deletion of an activated KRas regardless of activating substitution. CNK1 has a PH domain responsible for localizing it to membrane lipids making KRas potentially amenable to inhibition with small molecules. The work has identified a series of small molecules capable of binding to this PH domain and inhibiting CNK1 facilitated KRas signaling.

Application of the general linear model to assess the effect of missing data on bone marrow mononuclear cell therapy with infusion timing and follow-up MRI

With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^

External validation study of a clinical prediction rule for ambulation outcomes after traumatic spinal cord injury

The main objective of this study was to determine the external validity of a clinical prediction rule developed by the European Multicenter Study on Human Spinal Cord Injury (EM-SCI) to predict the ambulation outcomes 12 months after traumatic spinal cord injury. Data from the North American Clinical Trials Network (NACTN) data registry with approximately 500 SCI cases were used for this validity study. The predictive accuracy of the EM-SCI prognostic model was evaluated using calibration and discrimination based on 231 NACTN cases. The area under the receiver-operating-characteristics curve (ROC) curve was 0.927 (95% CI 0.894 – 0.959) for the EM-SCI model when applied to NACTN population. This is lower than the AUC of 0.956 (95% CI 0.936 – 0.976) reported for the EM-SCI population, but suggests that the EM-SCI clinical prediction rule distinguished well between those patients in the NACTN population who were able to achieve independent ambulation and those who did not achieve independent ambulation. The calibration curve suggests that higher the prediction score is, the better the probability of walking with the best prediction for AIS D patients. In conclusion, the EM-SCI clinical prediction rule was determined to be generalizable to the adult NACTN SCI population.^

Left, right and interval bivariate censored data: Evaluating screening mammography in the presence of lead -time bias, length bias and over-detection

Of the large clinical trials evaluating screening mammography efficacy, none included women ages 75 and older. Recommendations on an upper age limit at which to discontinue screening are based on indirect evidence and are not consistent. Screening mammography is evaluated using observational data from the SEER-Medicare linked database. Measuring the benefit of screening mammography is difficult due to the impact of lead-time bias, length bias and over-detection. The underlying conceptual model divides the disease into two stages: pre-clinical (T0) and symptomatic (T1) breast cancer. Treating the time in these phases as a pair of dependent bivariate observations, (t0,t1), estimates are derived to describe the distribution of this random vector. To quantify the effect of screening mammography, statistical inference is made about the mammography parameters that correspond to the marginal distribution of the symptomatic phase duration (T1). This shows the hazard ratio of death from breast cancer comparing women with screen-detected tumors to those detected at their symptom onset is 0.36 (0.30, 0.42), indicating a benefit among the screen-detected cases. ^

ACGT: advancing clinico-genomic trials on cancer - four years of experience.

The challenges regarding seamless integration of distributed, heterogeneous and multilevel data arising in the context of contemporary, post-genomic clinical trials cannot be effectively addressed with current methodologies. An urgent need exists to access data in a uniform manner, to share information among different clinical and research centers, and to store data in secure repositories assuring the privacy of patients. Advancing Clinico-Genomic Trials (ACGT) was a European Commission funded Integrated Project that aimed at providing tools and methods to enhance the efficiency of clinical trials in the -omics era. The project, now completed after four years of work, involved the development of both a set of methodological approaches as well as tools and services and its testing in the context of real-world clinico-genomic scenarios. This paper describes the main experiences using the ACGT platform and its tools within one such scenario and highlights the very promising results obtained.

Implementación del modelo RIM de HL7 v3 en orientación a objetos y su uso en procesos de interoperabilidad semántica

El trabajo ha sido realizado dentro del marco de los proyectos EURECA (Enabling information re-Use by linking clinical REsearch and Care) e INTEGRATE (Integrative Cancer Research Through Innovative Biomedical Infrastructures), en los que colabora el Grupo de Informática Biomédica de la UPM junto a otras universidades e instituciones sanitarias europeas. En ambos proyectos se desarrollan servicios e infraestructuras con el objetivo principal de almacenar información clínica, procedente de fuentes diversas (como por ejemplo de historiales clínicos electrónicos de hospitales, de ensayos clínicos o artículos de investigación biomédica), de una forma común y fácilmente accesible y consultable para facilitar al máximo la investigación de estos ámbitos, de manera colaborativa entre instituciones. Esta es la idea principal de la interoperabilidad semántica en la que se concentran ambos proyectos, siendo clave para el correcto funcionamiento del software del que se componen. El intercambio de datos con un modelo de representación compartido, común y sin ambigüedades, en el que cada concepto, término o dato clínico tendrá una única forma de representación. Lo cual permite la inferencia de conocimiento, y encaja perfectamente en el contexto de la investigación médica. En concreto, la herramienta a desarrollar en este trabajo también está orientada a la idea de maximizar la interoperabilidad semántica, pues se ocupa de la carga de información clínica con un formato estandarizado en un modelo común de almacenamiento de datos, implementado en bases de datos relacionales. El trabajo ha sido desarrollado en el periodo comprendido entre el 3 de Febrero y el 6 de Junio de 2014. Se ha seguido un ciclo de vida en cascada para la organización del trabajo realizado en las tareas de las que se compone el proyecto, de modo que una fase no puede iniciarse sin que se haya terminado, revisado y aceptado la fase anterior. Exceptuando la tarea de documentación del trabajo (para la elaboración de esta memoria), que se ha desarrollado paralelamente a todas las demás. ----ABSTRACT--- The project has been developed during the second semester of the 2013/2014 academic year. This Project has been done inside EURECA and INTEGRATE European biomedical research projects, where the GIB (Biomedical Informatics Group) of the UPM works as a partner. Both projects aim is to develop platforms and services with the main goal of storing clinical information (e.g. information from hospital electronic health records (EHRs), clinical trials or research articles) in a common way and easy to access and query, in order to support medical research. The whole software environment of these projects is based on the idea of semantic interoperability, which means the ability of computer systems to exchange data with unambiguous and shared meaning. This idea allows knowledge inference, which fits perfectly in medical research context. The tool to develop in this project is also "semantic operability-oriented". Its purpose is to store standardized clinical information in a common data model, implemented in relational databases. The project has been performed during the period between February 3rd and June 6th, of 2014. It has followed a "Waterfall model" of software development, in which progress is seen as flowing steadily downwards through its phases. Each phase starts when its previous phase has been completed and reviewed. The task of documenting the project‟s work is an exception; it has been performed in a parallel way to the rest of the tasks.

Desarrollo de un proceso de normalización semántica de bases de datos en ensayos clínicos

El trabajo se enmarca dentro de los proyecto INTEGRATE y EURECA, cuyo objetivo es el desarrollo de una capa de interoperabilidad semántica que permita la integración de datos e investigación clínica, proporcionando una plataforma común que pueda ser integrada en diferentes instituciones clínicas y que facilite el intercambio de información entre las mismas. De esta manera se promueve la mejora de la práctica clínica a través de la cooperación entre instituciones de investigación con objetivos comunes. En los proyectos se hace uso de estándares y vocabularios clínicos ya existentes, como pueden ser HL7 o SNOMED, adaptándolos a las necesidades particulares de los datos con los que se trabaja en INTEGRATE y EURECA. Los datos clínicos se representan de manera que cada concepto utilizado sea único, evitando ambigüedades y apoyando la idea de plataforma común. El alumno ha formado parte de un equipo de trabajo perteneciente al Grupo de Informática de la UPM, que a su vez trabaja como uno de los socios de los proyectos europeos nombrados anteriormente. La herramienta desarrollada, tiene como objetivo realizar tareas de homogenización de la información almacenada en las bases de datos de los proyectos haciendo uso de los mecanismos de normalización proporcionados por el vocabulario médico SNOMED-CT. Las bases de datos normalizadas serán las utilizadas para llevar a cabo consultas por medio de servicios proporcionados en la capa de interoperabilidad, ya que contendrán información más precisa y completa que las bases de datos sin normalizar. El trabajo ha sido realizado entre el día 12 de Septiembre del año 2014, donde comienza la etapa de formación y recopilación de información, y el día 5 de Enero del año 2015, en el cuál se termina la redacción de la memoria. El ciclo de vida utilizado ha sido el de desarrollo en cascada, en el que las tareas no comienzan hasta que la etapa inmediatamente anterior haya sido finalizada y validada. Sin embargo, no todas las tareas han seguido este modelo, ya que la realización de la memoria del trabajo se ha llevado a cabo de manera paralela con el resto de tareas. El número total de horas dedicadas al Trabajo de Fin de Grado es 324. Las tareas realizadas y el tiempo de dedicación de cada una de ellas se detallan a continuación:  Formación. Etapa de recopilación de información necesaria para implementar la herramienta y estudio de la misma [30 horas.  Especificación de requisitos. Se documentan los diferentes requisitos que ha de cumplir la herramienta [20 horas].  Diseño. En esta etapa se toman las decisiones de diseño de la herramienta [35 horas].  Implementación. Desarrollo del código de la herramienta [80 horas].  Pruebas. Etapa de validación de la herramienta, tanto de manera independiente como integrada en los proyectos INTEGRATE y EURECA [70 horas].  Depuración. Corrección de errores e introducción de mejoras de la herramienta [45 horas].  Realización de la memoria. Redacción de la memoria final del trabajo [44 horas].---ABSTRACT---This project belongs to the semantic interoperability layer developed in the European projects INTEGRATE and EURECA, which aims to provide a platform to promote interchange of medical information from clinical trials to clinical institutions. Thus, research institutions may cooperate to enhance clinical practice. Different health standards and clinical terminologies has been used in both INTEGRATE and EURECA projects, e.g. HL7 or SNOMED-CT. These tools have been adapted to the projects data requirements. Clinical data are represented by unique concepts, avoiding ambiguity problems. The student has been working in the Biomedical Informatics Group from UPM, partner of the INTEGRATE and EURECA projects. The tool developed aims to perform homogenization tasks over information stored in databases of the project, through normalized representation provided by the SNOMED-CT terminology. The data query is executed against the normalized version of the databases, since the information retrieved will be more informative than non-normalized databases. The project has been performed from September 12th of 2014, when initiation stage began, to January 5th of 2015, when the final report was finished. The waterfall model for software development was followed during the working process. Therefore, a phase may not start before the previous one finishes and has been validated, except from the final report redaction, which has been carried out in parallel with the others phases. The tasks that have been developed and time for each one are detailed as follows:  Training. Gathering the necessary information to develop the tool [30 hours].  Software requirement specification. Requirements the tool must accomplish [20 hours].  Design. Decisions on the design of the tool [35 hours].  Implementation. Tool development [80 hours].  Testing. Tool evaluation within the framework of the INTEGRATE and EURECA projects [70 hours].  Debugging. Improve efficiency and correct errors [45 hours].  Documenting. Final report elaboration [44 hours].

A review of clinical trial designs used to detect a disease-modifying effect of drug therapy in Alzheimer's disease and Parkinson's disease

Acknowledgements This article presents independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme (Grant Reference Number RP-PG-0707-10124). The views expressed in this article are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. The funders had no role in study design, data collection, data analysis, data interpretation, writing of the report or for the decision to submit for publication.

Histone deacetylase inhibitor selectively induces p21WAF1 expression and gene-associated histone acetylation

Histone deacetylases (HDACs) catalyze the removal of acetyl groups on the amino-terminal lysine residues of core nucleosomal histones. This activity is associated generally with transcriptional repression. We have reported previously that inhibition of HDAC activity by hydroxamic acid-based hybrid polar compounds, such as suberoylanilide hydroxamic acid (SAHA), induces differentiation and/or apoptosis of transformed cells in vitro and inhibits tumor growth in vivo. SAHA is a potentially new therapeutic approach to cancer treatment and is in Phase I clinical trials. In several tumor cell lines examined, HDAC inhibitors alter the expression of less than 1% of expressed genes, including the cell cycle kinase inhibitor p21WAF1. In T24 bladder carcinoma cells, SAHA induces up to a 9-fold increase in p21WAF1 mRNA and protein, which is, at least in part, because of an increase in the rate of transcription of the gene. SAHA causes an accumulation of acetylated histones H3 and H4 in total cellular chromatin by 2 h, which is maintained through 24 h of culture. An increase in the accumulation of acetylated H3 and H4 was detected throughout the p21WAF1 promoter and the structural gene after culture with SAHA. The level of histone acetylation did not change in chromatin associated with the actin and p27 genes, and their mRNA expression was not altered during culture of T24 cells with SAHA. Thus, the present findings indicate that the induction of p21WAF1 by SAHA is regulated, at least in part, by the degree of acetylation of the gene-associated histones and that this induced increase in acetylation is gene selective.

Sensitivity to carcinogenesis is increased and chemoprotective efficacy of enzyme inducers is lost in nrf2 transcription factor-deficient mice

Induction of phase 2 enzymes, which neutralize reactive electrophiles and act as indirect antioxidants, appears to be an effective means for achieving protection against a variety of carcinogens in animals and humans. Transcriptional control of the expression of these enzymes is mediated, at least in part, through the antioxidant response element (ARE) found in the regulatory regions of their genes. The transcription factor Nrf2, which binds to the ARE, appears to be essential for the induction of prototypical phase 2 enzymes such as glutathione S-transferases (GSTs) and NAD(P)H:quinone oxidoreductase (NQO1). Constitutive hepatic and gastric activities of GST and NQO1 were reduced by 50–80% in nrf2-deficient mice compared with wild-type mice. Moreover, the 2- to 5-fold induction of these enzymes in wild-type mice by the chemoprotective agent oltipraz, which is currently in clinical trials, was almost completely abrogated in the nrf2-deficient mice. In parallel with the enzymatic changes, nrf2-deficient mice had a significantly higher burden of gastric neoplasia after treatment with benzo[a]pyrene than did wild-type mice. Oltipraz significantly reduced multiplicity of gastric neoplasia in wild-type mice by 55%, but had no effect on tumor burden in nrf2-deficient mice. Thus, Nrf2 plays a central role in the regulation of constitutive and inducible expression of phase 2 enzymes in vivo and dramatically influences susceptibility to carcinogenesis. Moreover, the total loss of anticarcinogenic efficacy of oltipraz in the nrf2-disrupted mice highlights the prime importance of elevated phase 2 gene expression in chemoprotection by this and similar enzyme inducers.

New approach for inhibiting Rev function and HIV-1 production using the influenza virus NS1 protein.

The Rev protein of HIV-1, which facilitates the nuclear export of HIV-1 pre-mRNAs, has been a target for antiviral therapy. Here we describe a new strategy for inhibiting Rev function and HIV-1 replication. In contrast to previous approaches, we use a wild-type rather than a mutant Rev protein and covalently link this Rev sequence to the NS1 protein of influenza A virus, a protein that inhibits the nuclear export of mRNAs. The NS1 protein contains an RNA-binding domain mutation (RM), so that the only functional RNA-binding domain in the chimeric protein (NS1RM-Rev) is in the Rev protein sequence. In the presence of the NS1RM-Rev chimeric protein, HIV-1 pre-mRNAs were retained in, rather than exported from, the nucleus. In addition, this chimeric protein effectively inhibited Rev function in trans in transfection experiments and effectively inhibited the production of HIV-1 in tissue culture cells transfected with an infectious molecular clone of HIV-1 DNA. The inhibitory activities of the NS1RM-Rev chimera were at least equivalent to those of the Rev M10 mutant protein, which has been considered to be the prototype trans inhibitor of Rev function and is currently in phase I clinical trials for the treatment of AIDS patients. We discuss (i) the potential for increasing the inhibitory activity of NS1-Rev chimeras against HIV-1 and (ii) the need for additional studies to evaluate these chimeras for the treatment of AIDS.

Structural basis for specificity and potency of a flavonoid inhibitor of human CDK2, a cell cycle kinase.

The central role of cyclin-dependent kinases (CDKs) in cell cycle regulation makes them a promising target for studying inhibitory molecules that can modify the degree of cell proliferation. The discovery of specific inhibitors of CDKs such as polyhydroxylated flavones has opened the way to investigation and design of antimitotic compounds. A novel flavone, (-)-cis-5,7-dihydroxyphenyl-8-[4-(3-hydroxy-1-methyl)piperidinyl] -4H-1-benzopyran-4-one hydrochloride hemihydrate (L868276), is a potent inhibitor of CDKs. A chlorinated form, flavopiridol, is currently in phase I clinical trials as a drug against breast tumors. We determined the crystal structure of a complex between CDK2 and L868276 at 2.33 angstroms resolution and refined to an Rfactor 20.3%. The aromatic portion of the inhibitor binds to the adenine-binding pocket of CDK2, and the position of the phenyl group of the inhibitor enables the inhibitor to make contacts with the enzyme not observed in the ATP complex structure. The analysis of the position of this phenyl ring not only explains the great differences of kinase inhibition among the flavonoid inhibitors but also explains the specificity of L868276 to inhibit CDK2 and CDC2.

A small bispecific antibody construct expressed as a functional single-chain molecule with high tumor cell cytotoxicity.

Construction of a bispecific single-chain antibody derivative is described that consists of two different single-chain Fv fragments joined through a Gly-Ser linker. One specificity of the two Fv fragments is directed against the CD3 antigen of human T cells and the other is directed against the epithelial 17-1A antigen; the latter had been found in a clinical trial to be a suitable target for antibody therapy of minimal residual colorectal cancer. The construct could be expressed in CHO cells as a fully functional protein, while its periplasmic expression in Escherichia coli resulted in a nonfunctional protein only. The antigen-binding properties of the bispecific single-chain antibody are indistinguishable from those of the corresponding univalent single-chain Fv fragments. By redirecting human peripheral T lymphocytes against 17-1A-positive tumor cells, the bispecific antibody proved to be highly cytotoxic at nanomolar concentrations as demonstrated by 51Cr release assay on various cell lines. The described bispecific construct has a molecular mass of 60 kDa and can be easily purified by its C-terminal histidine tail on a Ni-NTA chromatography column. As bispecific antibodies have already been shown to be effective in vivo in experimental tumor systems as well as in phase-one clinical trials, the small CD3/17-1A-bispecific antibody may be more efficacious than intact antibodies against minimal residual cancer cells.

Nanopartículas lipídicas sólidas e vesículas cataniônicas contendo ftalocianina de cloro alumínio aplicadas nos processos fotodinâmicos

O trabalho apresentado foi realizado em duas etapas independentes e baseou-se no estudo de diferentes sistemas nanométricos para viabilizar a aplicação da ftalocianina de cloro alumínio (ClAlPc) na terapia fotodinâmica (TFD) para o tratamento do câncer de pele do tipo melanoma. O fármaco fotossensibilizante (FS) utilizado apresenta propriedades físico-químicas que lhe permitem exercer sua atividade fotodinâmica com excelência, sem a interferência do cromóforo endógeno melanina existente nas células melanocíticas. Para driblar sua elevada hidrofobicidade, ClAlPc foi encapsulada em sistemas nanométricos para administração em meio fisiológico. Inicialmente nanopartículas lipídicas sólidas (NLS) foram desenvolvidas por emulsificação direta, após um estudo de elaboração do diagrama de fases. O compritol foi o lipídio sólido escolhido para compor as NLS, com diferentes concentrações de ClAlPc. Todas as formulações desenvolvidas foram devidamente caracterizadas, com tamanho médio entre 100 e 200 nm, baixa polidispersão, potencial zeta adequadamente negativo (~|30| mV), drug loading de ClAlPc entre 76-94% (com pequena redução após 24 meses) e alta eficiência de encapsulação (E.E.). A morfologia arredondada das nanopartículas foi confirmada por microscopia eletrônica de transmissão e de força atômica. A estabilidade das NLS foi de 24 meses. A avaliação da cristalinidade do lipídio revelou a integração da ClAlPc à matriz lipídica da NLS, presença de estruturas polimórficas e grau de cristalinidade adequado, sem alterações após 24 meses. Nos estudos de difusão in vitro, observou-se que ftalocianina encapsulada nas NLS acumulam-se preferencialmente na epiderme e derme do que no estrato córneo, sem traços de permeação do ativo. Foi confirmado o caráter biocompatível das NLS sobre fibroblastos NIH-3T3. A ftalocianina encapsulada nas NLS não foi tóxica na linhagem de melanoma B16-F10 na ausência de luz, porém, apresentou excelente efeito fototóxico (0,75 ?g mL-1 de ClAlPc nanoencapsulada e irradiação entre 0,5 e 2,0 J cm-2), com redução da viabilidade celular de 87%. O segundo sistema de veiculação estudado foram as vesículas cataniônicas (VesCat), que se formam espontaneamente em água com o tensoativo TriCat 12. A obtenção das vesículas contendo ClAlPc envolve uma etapa adicional, para remoção de solvente orgânico, que foi aprimorada, reduzindo o tempo de produção em 55%. As VesCat/ClAlPc obtidas mantiveram suas propriedades físico-químicas e morfologia arredondada (confirmada por microscopia eletrônica de varredura), drug loading de 47% e alta E.E. Os resultados comprovaram que a aplicação desses dois sistemas nanométricos é altamente eficiente para aplicação da TFD no tratamento do câncer de pele do tipo melanoma ou outras doenças cutâneas, apresentando características favoráveis para avanços nos estudos de fase clínica e pré-clínica.