Social Appropriation of Knowledge About Research in Prostate Cancer with Middle Education Students in Three Colombian Cities.

In Colombia, prostate cancer (PCa) is the most common cancer for incidence and mortality in men, which turns it into a public health problem. For high-risk communities to better understand the usefulness of basic research about PCa, a strategy of social appropriation of knowledge (SAK) in science and cancer was designed and implemented. A pedagogical activity and two tests (a pre-test and a post-test) were applied to middle education students in four schools in three Colombian cities to identify previous knowledge of biology concepts and cancer perceptions. As for biology concepts, there was a statistically significant increase (p < 0.01) in the total results of all questions in the post-test, especially in items related to the structure of DNA, differences between RNA and DNA, and codon. Similarly, better success rates were observed in questions about replication and mutation, and a statistically significant improvement related to the definition of cancer, cancer prevention, and its association with culture or ethnicity (p < 0.01). The results of the open question show what students learned about or were interested in the most, as evidence of the exchange of knowledge in those cities and the social appropriation of knowledge about PCa in Colombia. These findings show that this type of intervention, in diverse social contexts, is essential to improve understanding and perceptions that link school and scientific knowledge to a real problem, such as health and, in this case, cancer.

Determination of ERG(+), EZH2, NKX3.1, and SPINK-1 subtypes to evaluate their association with clonal origin and disease progression in multifocal prostate cancer.

BACKGROUND: The prognostic relevance of prostate cancer (PCa) molecular subtypes remains controversial, given the presence of multiple foci with the possibility of different subtypes in the same patient. AIM: To determine the clonal origin of heterogeneity in PCa and its association with disease progression, SPOP, ERG(+), EZH2, NKX3.1, and SPINK-1 subtypes were analyzed. METHODS: A total of 103 samples from 20 PCa patients were analyzed; foci of adjacent non-tumor prostate tissue, HGPIN, GL3, GL4, GL5, and LN were examined to determine the presence of the TMPRSS2-ERG fusion and ERG, EZH2, NKX3.1, and SPINK-1 expression levels, using RT-PCR. Mutations in exons 6 and 7 of the SPOP gene were determined by sequencing. The presence of subtypes and molecular patterns were identified by combining all subtypes analyzed. To establish the clonal origin of multifocal PCa, molecular concordance between different foci of the same patient was determined. Association of these subtypes with histopathological groups and time to biochemical recurrence (BCR) was assessed. RESULTS: No mutation was found in SPOP in any sample. The ERG(+) subtype was the most frequent. The molecular pattern containing all four PCa subtypes was only detected in 3 samples (4%), all LN, but it was the most frequent (40%) in patients. Molecular discordance was the predominant status (55%) when all analyzed molecular characteristics were considered. It was possible to find all subtypes, starting as a preneoplastic lesion, and all but one LN molecular subtype were ERG(+) and NKX3.1 subtypes. Only the expression of the NKX3.1 gene was significantly different among the histopathological groups. No association was found between BCR time in patients and molecular subtypes or molecular concordance or between clinicopathological characteristics and molecular subtypes of ERG, EZH2, and SPINK-1. CONCLUSION: The predominance of molecular discordance in prostatic foci per patient, which reflects the multifocal origin of PCa foci, highlights the importance of analyzing multiple samples to establish the prognostic and therapeutic relevance of molecular subtypes in a patient. All the subtypes analyzed here are of early onset, starting from preneoplastic lesions. NKX3.1 gene expression is the only molecular characteristic that shows a progression pattern by sample.

Decoding the heterogeneous landscape in the development prostate cancer.

Prostate cancer (PCa) is characterized as being histologically and molecularly heterogeneous; however, this is not only incorrect among individuals, but also at the multiple foci level, which originates in the prostate gland itself. The reasons for such heterogeneity have not been fully elucidated; however, understanding these may be crucial in determining the course of the disease. PCa is characterized by a complex network of chromosomal rearrangements, which simultaneously deregulate multiple genes; this could explain the appearance of exclusive events associated with molecular subtypes, which have been extensively investigated to establish clinical management and the development of therapies targeted to this type of cancer. From a clinical aspect, the prognosis of the patient has focused on the characteristics of the index lesion (the largest focus in PCa); however, a significant percentage of patients (11%) also exhibit an aggressive secondary foci, which may determine the prognosis of the disease, and could be the determining factor of why, in different studies, the classification of the subtypes does not have an association with prognosis. Due to the aforementioned reasons, the analysis of molecular subtypes in several foci, from the same individual could assist in determining the association between clinical evolution and management of patients with PCa. Castration-resistant PCa (CRPC) has the worst prognosis and develops following androgen ablation therapy. Currently, there are two models to explain the development of CRPC: i) The selection model and ii) the adaptation model; both of which, have been found to include alterations described in the molecular subtypes, such as Enhancer of zeste 2 polycomb repressive complex 2 subunit overexpression, isocitrate dehydrogenase (NAPD+)1 and forkhead box A1 mutations, suggesting that the presence of specific molecular alterations could predict the development of CRPC. This type of analysis could lead to a biological understanding of PCa, to develop personalized medicine strategies, which could improve the response to treatment thus, avoiding the development of resistance. Therefore, the present review discusses the primary molecular factors, to which variable heterogeneity in PCa progress has been attributed.

ESTANDARIZACIÓN DEL PROTOCOLO PARA LA DETECCIÓN DE LAS FUSIONES TMPRSS2: ERG Y DE LA EXPRESIÓN DE LOS GENES EZH2, SPINK-1 y NKX3.1 EN CÁNCER DE PRÓSTATA (CaP) / Protocol Standardization for Detection of TMPRSS2 Fusions: ERG and Gene Expression of EZH2, SPINK-1 and NKX3.1 in Prostate Cancer (PCa)

En la actualidad no existe una herramienta que permita diferenciar pacientes con cáncer de próstata (CaP) de mal pronóstico de aquellos con enfermedad indolente que sólo requieren un seguimiento controlado de la enfermedad. Debido a la coexistencia de diferentes focos premalignos y malignos en el CaP, el entendimiento sobre el proceso de carcinogénesis requiere de un mejor conocimiento. Actualmente, la heterogeneidad morfológica en CaP es evaluada con la puntuación de Gleason, la cual está fuertemente relacionada con el pronóstico de la enfermedad, sin embargo, esto es insuficiente por lo que se trabaja actualmente en identificación de alteraciones moleculares que permitan identificar subtipos que puedan establecer de manera más precisa el pronóstico del paciente. Este estudio preliminar buscó la estandarización del método de cuantificación en muestras prostáticas de FFPE de la expresión de los transcritos de posibles biomarcadores, como los oncogenes SPINK-1 y EZH2, el supresor tumoral NKX3.1, en conjunto con la determinación de la presencia/ausencia del gen de fusión TMPRSS2:ERG, ya que estos transcritos se encuentran involucrados en aparentes eventos excluyentes de la evolución natural del CaP, que apoyan la posibilidad de una clasificación molecular para esta enfermedad.

At present doesn't exist tool to differentiate patients with prostate cancer (PCa) of poor prognosis of those with indolent disease that only require a controlled monitoring of the disease. Because of the coexistence of different premalignant and malignant foci in CaP, the understanding of the carcinogenesis process requires a better understanding. Currently, the morphological heterogeneity in PCa is evaluated with Gleason score, which is closely related to the prognosis of the disease, but this is insufficient so it is currently to work on identifying molecular alterations to identify subtypes that can establish more precisely the patient's prognosis. This preliminary study aimed to standardization of the method of quantification in prostatic samples of FFPE of expression of transcripts of possible biomarkers, such as the oncogenes, SPINK-1 y EZH2, the tumour suppressor, NKX3.1, together with the determination of the presence/absence of gene fusion, TMPRSS2:ERG, being that these transcripts are involved in apparent exclusive events of the natural evolution of PCa, that support the possibility of a molecular classification for this disease.