Práticas de cuidado e necessidades de saúde de homens em atenção domiciliar / Care practices and health needs of men in home care / Prácticas de cuidado y necesidades de salud de los hombres en el cuidado domiciliario

Objetivo: Analisar as práticas de cuidado desenvolvidas para atender às necessidades de saúde de homens em atenção domiciliar. Métodos: Pesquisa observacional e qualitativa, realizada com 34 cuidadores e 24 homens assistidos pelo serviço de atenção domiciliar do município de João Pessoa. A coleta de dados foi realizada por meio de um roteiro com variáveis sociodemográficas e perguntas abertas. A Análise Crítica do Discurso foi utilizada como método de análise, com destaque para os significados representacional e identificacional dos discursos. Resultados: As práticas de cuidado e necessidades de saúde foram apontadas com base na relação hegemônica entre os atores do cuidado, associação do cuidado ao processo de trabalho informal, atuação da família, da atividade corresponsabilizada, e prática da autonomia e autocuidado. Conclusão: Evidenciou-se um cuidado multifacetado e executado por diversos atores com suporte de equipes multiprofissionais de atenção domiciliar. (AU)

Objective: To analyze the care practices developed to meet the health needs of men in home care. Methods: Observational and qualitative research, carried out with 34 caregivers and 24 men assisted by the home care service in the city of João Pessoa. Data collection was performed through a script with sociodemographic variables and open questions. Critical Discourse Analysis was used as a method of analysis, with emphasis on the representational and identificational meanings of the discourses. The research was approved according to the opinion number 1.829.326. Results: Care practices and health needs were identified based on the hegemonic relationship between the care actors, association of care with the informal work process, family activities and co-responsibility activities, and the practice of autonomy and self-care. Conclusion: There was evidence of a multifaceted care performed by different subjects with the support of multidisciplinary home care teams. (AU)

Objetivo: Analizar las prácticas asistenciales desarrolladas para satisfacer las necesidades de salud de los hombres en la atención domiciliaria. Métodos: Investigación observacional y cualitativa, realizada con 34 cuidadores y 24 hombres asistidos por el servicio de atención domiciliaria en la ciudad de João Pessoa. La recolección de datos se realizó mediante un guión con variables sociodemográficas y preguntas abiertas. Se utilizó el Análisis Crítico del Discurso como método de análisis, con énfasis en los significados representativos e identificativos de los discursos. La investigación fue aprobada de acuerdo al dictamen número 1.829.326. Resultados: Se identificaron prácticas de cuidado y necesidades de salud a partir de la relación hegemónica entre los actores del cuidado, la asociación del cuidado con el proceso de trabajo informal, las actividades familiares y de corresponsabilidad, y la práctica de la autonomía y el autocuidado. Conclusión: Se evidenció una atención multifacética realizada por diferentes sujetos con el apoyo de equipos multidisciplinares de atención domiciliaria. (AU)

Immersed in a reservoir of potential: amniotic fluid-derived extracellular vesicles.

This review aims to encapsulate the current knowledge in extracellular vesicles extracted from amniotic fluid and amniotic fluid derived stem/stromal cells. Amniotic fluid (AF) bathes the developing fetus, providing nutrients and protection from biological and mechanical dangers. In addition to containing a myriad of proteins, immunoglobulins and growth factors, AF is a rich source of extracellular vesicles (EVs). These vesicles originate from cells in the fetoplacental unit. They are biological messengers carrying an active cargo enveloped within the lipid bilayer. EVs in reproduction are known to play key roles in all stages of pregnancy, starting from fertilisation through to parturition. The intriguing biology of AF-derived EVs (AF-EVs) in pregnancy and their untapped potential as biomarkers is currently gaining attention. EV studies in numerous animal and human disease models have raised expectations of their utility as therapeutics. Amniotic fluid stem cell and mesenchymal stromal cell-derived EVs (AFSC-EVs) provide an established supply of laboratory-made EVs. This cell-free mode of therapy is popular as an alternative to stem cell therapy, revealing similar, if not better therapeutic outcomes. Research has demonstrated the successful application of AF-EVs and AFSC-EVs in therapy, harnessing their anti-inflammatory, angiogenic and regenerative properties. This review provides an overview of such studies and discusses concerns in this emerging field of research.

Strategies for improving the performance of prediction models for response to immune checkpoint blockade therapy in cancer.

Immune checkpoint blockade (ICB) therapy holds promise for bringing long-lasting clinical gains for the treatment of cancer. However, studies show that only a fraction of patients respond to the treatment. In this regard, it is valuable to develop gene expression signatures based on RNA sequencing (RNAseq) data and machine learning methods to predict a patient's response to the ICB therapy, which contributes to more personalized treatment strategy and better management of cancer patients. However, due to the limited sample size of ICB trials with RNAseq data available and the vast number of candidate gene expression features, it is challenging to develop well-performed gene expression signatures. In this study, we used several published melanoma datasets and investigated approaches that can improve the construction of gene expression-based prediction models. We found that merging datasets from multiple studies and incorporating prior biological knowledge yielded prediction models with higher predictive accuracies. Our finding suggests that these two strategies are of high value to identify ICB response biomarkers in future studies.

The Contribution of Willingness to Communicate to L2 Learners' Depth of Vocabulary Knowledge: An Empirical Study.

The issues of depth vocabulary knowledge and Willingness to Communicate (henceforth, WTC) are among the most important issues in second language learning. The present study set out to empirically look into the contribution of WTC to depth of vocabulary knowledge in L2 learning. To this end, 88 English L2 learners, divided into two groups in terms of their WTC, were given two depth vocabulary tests. The Word Association Test (WAT) was first administered to make a comparison between the depth vocabulary knowledge of the two WTC groups. Then, to triangulate the results, the Word Part Levels Test (WPLT) was administered to check whether the obtained results confirmed those of WAT. Analyzing data through independent t-test and MANOVA indicated that learners with higher levels of WTC had deeper vocabulary knowledge than those with lower levels of WTC on the WAT. Further, the triangulation results evinced that although the two groups did not differ significantly on the form-section and meaning-section of the WPLT, they significantly differed on the use-section of the test. The relevant pedagogical implications of the study are discussed.

Pros and Cons of Minimally Invasive Spine Surgery.

This paper reviews current knowledge on minimally invasive spine surgery (MISS). Although it has significant advantages, such as less postoperative pain, short hospital stay, quick return to work, better cosmetics, and less infection rate, there are also disadvantages. The long learning curve, the need for special instruments and types of equipment, high costs, lack of tactile sensation and biplanar imaging, some complications that are hard to treat, and more radiation to the surgeon and surgical team are the disadvantages.Most studies remark that the outcomes of MISS are similar to traditional surgery. Although patients demand it more than surgeons, we predict the broad applications of MISS will replace most of our classical surgical approaches.

Factors associated with multimodal care practices for cancer cachexia among registered dietitians.

PURPOSE: This study aimed to determine factors associated with multimodal care practices for cancer cachexia among registered dietitians (RDs) working in cancer care. METHODS: A secondary analysis was performed using RDs' data. Data on knowledge, skills, and confidence in multimodal care were obtained. Nine items regarding multimodal care practices were evaluated. Subjects were divided into two groups based on their answers associated with the nine items. Comparisons were obtained using the Mann-Whitney U test or chi-squared test. Multiple regression analysis was performed to identify the critical factors involved in practicing multimodal care by determining the variables with significant differences between the two groups. RESULTS: Two hundred thirty-two RDs were included in this study. Significant differences were observed in their primary area of practice (p = 0.023), the number of clinical guidelines used (p < 0.001), the number of items used in cancer cachexia assessment (p = 0.002), the number of symptoms used in cancer cachexia assessment (p = 0.039), training for cancer cachexia (p < 0.001), knowledge of cancer cachexia (p < 0.001), and confidence in cancer cachexia management (p < 0.001). The number of symptoms used in cancer cachexia assessment (B = 0.42, p = 0.019), knowledge of cancer cachexia (B = 6.60, p < 0.001), and confidence in cancer cachexia management (B = 4.31, p = 0.010) were identified as critical factors according to the multiple regression analysis. CONCLUSION: The RDs' knowledge and confidence in cancer cachexia management were associated with their multimodal care practices.

Top-50 cited articles on cysticercosis and neurocysticercosis.

BACKGROUND: Identifying the most highly cited papers in a given field can help researchers and professionals understand the milestones and research areas that are generating the most impact. This study aimed to identify and describe the 50 most frequently cited manuscripts on cysticercosis and neurocysticercosis. METHODS: We identified the 50 most cited papers (articles and reviews) on cysticercosis and neurocysticercosis from the MEDLINE database and indexed in Web of Science-Core Collection, analyzing their bibliographic and content characteristics. RESULTS: The most cited documents comprised 29 (58%) original articles and 21 (42%) reviews, the bulk of which were narrative reviews (n = 17), with a negligible presence of other types of reviews with high-level scientific evidence. Six journals published 42% of the articles. In addition to the USA, Mexico and Peru were prominent countries of origin among leading researchers. The main research topics were the central nervous system and epilepsy on the one hand, and diagnostic and therapeutic approaches on the other. CONCLUSION: Our findings shed light on the dissemination of knowledge about cysticercosis and neurocysticercosis in recent decades, identifying the most highly cited contributions that have driven research in the field.

Uso y conocimiento tradicional de plantas medicinales en comunidades de Villa Corzo, Chiapas, México / Use and traditional knowledge of medicinal plants in communities of Villa Corzo, Chiapas, Mexico

The use and knowledge of native and naturalized medicinal plants were evaluated in four communities of Villa Corzo, Chiapas, Mexico. The information was obtained through semi - structured surveys conducted with 1 18 people of different age and gender categories. To determine the most important plant species, indexes of value and frequency of use were generated. Seventy - nine species of 49 families were recorded, as well as their use in the treatment of various disea ses according to local knowledge. The species with the highest value of use were Aloe vera (L.) Burm. f., Verbena officinalis L. (verbena), Ocimum basilicum L. (basil) and Psidium guajava L. (guava). (guava). The most important families by number of specie s used were, in order of importance: Asteraceae and Rutaceae with five species Lamiaceae, Fabaceae and Rosaceae with four species each.

Se evaluaron el uso y conocimiento de las plantas medicinales nativas y naturalizadas en cuatro comunidades de Villa Corzo, Chiapas, México. La información se obtuvo a través de encuestas semiestructuradas realizadas a 118 personas de distintas categorías de edad y género. Para determinar las especies de plantas más importantes se generaron índices de valor y frecuencia de uso. Se registraron 79 especies de 49 familias, así como su uso en el tratamiento de diversas enfermedades de acuerdo al conocimiento local. Las especies con mayor valor de uso fueron Aloe vera (L.) Burm. f. (sábila), Verbena officinalis L. (verbena), Ocimum basilicum L. (albahaca) y Psidium guajava L. (guayaba). Las familias más importantes por el número de especies utilizadas fueron, en orden de importancia: Asteraceae y Rutaceae con cinco especies, Lamiaceae, Fabaceae y Rosaceae con cuatro especies cada una.

PSA-GNN: An augmented GNN framework with priori subgraph knowledge.

Graph neural networks have become the primary graph representation learning paradigm, in which nodes update their embeddings by aggregating messages from their neighbors iteratively. However, current message passing based GNNs exploit the higher-order subgraph information other than 1st-order neighbors insufficiently. In contrast, the long-standing graph research has investigated various subgraphs such as motif, clique, core, and truss that contain important structural information to downstream tasks like node classification, which deserve to be preserved by GNNs. In this work, we propose to use the pre-mined subgraphs as priori knowledge to extend the receptive field of GNNs and enhance their expressive power to go beyond the 1st-order Weisfeiler-Lehman isomorphism test. For that, we introduce a general framework called PSA-GNN (Priori Subgraph Augmented Graph Neural Network), which augments each GNN layer by a pair of parallel convolution layers based on a bipartite graph between nodes and priori subgraphs. PSA-GNN intrinsically builds a hybrid receptive field by incorporating priori subgraphs as neighbors, while the embeddings and weights of subgraphs are trainable. Moreover, PSA-GNN can purify the noisy subgraphs both heuristically before training and deterministically during training based on a novel metric called homogeneity. Experimental results show that PSA-GNN achieves an improved performance compared with state-of-the-art message passing based GNN models.

Rethinking parameters of "success" in breaking bad news conversations from patient's perspective: the successful delivery process model.

PURPOSE: Studies that focus on improving the difficult process of breaking bad news in oncology should include the patient perspective and be guided by appropriate outcome measures. Endpoints such as "patient satisfaction" fall short to capture the complex nature of breaking bad news (BBN) conversations. However, this is true of many studies. The present study attempts to develop a framework model from a new, patient-centered perspective, which can be applied equally in clinical practice and in education. METHODS: Semi-structured in-depth interviews with twelve cancer patients were conducted. Transcripts were analyzed by "qualitative content analysis" following Mayring. Outcomes were further extrapolated in interpretational steps, and a model of "success" from patients view in BBN was developed. RESULTS: Two central needs of the patients could be identified: understanding and feelings. Their fulfillment depends on two groups of variables: first, structural characteristics, such as the inevitable shock, individuality, and processability; second, strongly influenceable variables, such as relationship, transfer of knowledge, and atmosphere. From these results, a framework model for successful breaking of bad news from the patient's perspective was developed: The successful delivery process model (SDP model). CONCLUSION: As a basic model for the framework for breaking bad news from the patient's perspective, the SDP model can be applied to many different situations in oncology and help to frame the difficult conversations by tailoring the BBN conversations on determinants that favorably influence the process in a patient centered manner. In this sense, the model can be useful in clinical practice as well as in education.

AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers.

INTRODUCTION: Despite the rapid increase of AI-enabled applications deployed in clinical practice, many challenges exist around AI implementation, including the clarity of governance frameworks, usability of validation of AI models, and customisation of training for radiographers. This study aimed to explore the perceptions of diagnostic and therapeutic radiographers, with existing theoretical and/or practical knowledge of AI, on issues of relevance to the field, such as AI implementation, including knowledge of AI governance and procurement, perceptions about enablers and challenges and future priorities for AI adoption. METHODS: An online survey was designed and distributed to UK-based qualified radiographers who work in medical imaging and/or radiotherapy and have some previous theoretical and/or practical knowledge of working with AI. Participants were recruited through the researchers' professional networks on social media with support from the AI advisory group of the Society and College of Radiographers. Survey questions related to AI training/education, knowledge of AI governance frameworks, data privacy procedures, AI implementation considerations, and priorities for AI adoption. Descriptive statistics were employed to analyse the data, and chi-square tests were used to explore significant relationships between variables. RESULTS: In total, 88 valid responses were received. Most radiographers (56.6 %) had not received any AI-related training. Also, although approximately 63 % of them used an evaluation framework to assess AI models' performance before implementation, many (36.9 %) were still unsure about suitable evaluation methods. Radiographers requested clearer guidance on AI governance, ample time to implement AI in their practice safely, adequate funding, effective leadership, and targeted support from AI champions. AI training, robust governance frameworks, and patient and public involvement were seen as priorities for the successful implementation of AI by radiographers. CONCLUSION: AI implementation is progressing within radiography, but without customised training, clearer governance, key stakeholder engagement and suitable new roles created, it will be hard to harness its benefits and minimise related risks. IMPLICATIONS FOR PRACTICE: The results of this study highlight some of the priorities and challenges for radiographers in relation to AI adoption, namely the need for developing robust AI governance frameworks and providing optimal AI training.

Cluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT.

Developing a clinical AI model necessitates a significant amount of highly curated and carefully annotated dataset by multiple medical experts, which results in increased development time and costs. Self-supervised learning (SSL) is a method that enables AI models to leverage unlabelled data to acquire domain-specific background knowledge that can enhance their performance on various downstream tasks. In this work, we introduce CypherViT, a cluster-based histo-pathology phenotype representation learning by self-supervised multi-class-token hierarchical Vision Transformer (ViT). CypherViT is a novel backbone that can be integrated into a SSL pipeline, accommodating both coarse and fine-grained feature learning for histopathological images via a hierarchical feature agglomerative attention module with multiple classification (cls) tokens in ViT. Our qualitative analysis showcases that our approach successfully learns semantically meaningful regions of interest that align with morphological phenotypes. To validate the model, we utilize the DINO self-supervised learning (SSL) framework to train CypherViT on a substantial dataset of unlabeled breast cancer histopathological images. This trained model proves to be a generalizable and robust feature extractor for colorectal cancer images. Notably, our model demonstrates promising performance in patch-level tissue phenotyping tasks across four public datasets. The results from our quantitative experiments highlight significant advantages over existing state-of-the-art SSL models and traditional transfer learning methods, such as those relying on ImageNet pre-training.

Interpretable deep learning methods for multiview learning.

BACKGROUND: Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biomedical discoveries. RESULTS: We propose iDeepViewLearn (Interpretable Deep Learning Method for Multiview Learning) to learn nonlinear relationships in data from multiple views while achieving feature selection. iDeepViewLearn combines deep learning flexibility with the statistical benefits of data and knowledge-driven feature selection, giving interpretable results. Deep neural networks are used to learn view-independent low-dimensional embedding through an optimization problem that minimizes the difference between observed and reconstructed data, while imposing a regularization penalty on the reconstructed data. The normalized Laplacian of a graph is used to model bilateral relationships between variables in each view, therefore, encouraging selection of related variables. iDeepViewLearn is tested on simulated and three real-world data for classification, clustering, and reconstruction tasks. For the classification tasks, iDeepViewLearn had competitive classification results with state-of-the-art methods in various settings. For the clustering task, we detected molecular clusters that differed in their 10-year survival rates for breast cancer. For the reconstruction task, we were able to reconstruct handwritten images using a few pixels while achieving competitive classification accuracy. The results of our real data application and simulations with small to moderate sample sizes suggest that iDeepViewLearn may be a useful method for small-sample-size problems compared to other deep learning methods for multiview learning. CONCLUSION: iDeepViewLearn is an innovative deep learning model capable of capturing nonlinear relationships between data from multiple views while achieving feature selection. It is fully open source and is freely available at https://github.com/lasandrall/iDeepViewLearn .

Percepção dos profissionais de enfermagem sobre manejo de reação infusional a antineoplásicos: estudo qualitativo / Perception of nursing professionals on the management of infusion reactions to antineoplastics: qualitative study

Identificar a percepção dos profissionais de enfermagem sobre o manejo de reação infusional imediata a antineoplásicos. Método: Trata-se de um estudo descritivo de caráter exploratório com abordagem qualitativa realizado em um hospital no Rio Grande do Sul. Resultados: Todos os participantes afirmaram saber identificar uma reação infusional. Após a identificação da reação, nota-se que a maioria obedeceu a uma ordem de condutas a serem realizadas. Quanto aos cuidados para prevenção das reações infusionais, a maioria dos participantes mencionou a administração de medicamentos pré-quimioterápicos, como antialérgicos e antieméticos. Conclusão: Os achados demonstram que a maioria dos profissionais sabe reconhecer e manejar, porém há a necessidade de treinamentos e padronização das ações.(AU)

To identify the perception of nursing professionals about the management of immediate infusion reactions to antineoplastic drugs. Method: This is a descriptive, exploratory study with a qualitative approach carried out in a hospital in Rio Grande do Sul. Results: All the participants said they knew how to identify an infusion reaction. After identifying the reaction, it was noted that the majority followed an order of conduct to be carried out. As for precautions to prevent infusion reactions, most of the participants mentioned the administration of pre-chemotherapy drugs, such as anti-allergic and anti-emetic drugs. Conclusion: The findings show that most professionals know how to recognize and manage them, but there is a need for training and standardization of actions.(AU)

Identificar la percepción de los profesionales de enfermería sobre el manejo de las reacciones infusionales inmediatas a medicamentos antineoplásicos. Método: Se trata de un estudio descriptivo, exploratorio, con abordaje cualitativo, realizado en un hospital de Rio Grande do Sul. Resultados: Todos los participantes afirmaron saber identificar una reacción a la infusión. Después de identificar la reacción, la mayoría siguió un orden de conducta. En cuanto a las precauciones para prevenir las reacciones a la infusión, la mayoría de los participantes mencionó la administración de fármacos prequimioterápicos, como antialérgicos y antieméticos. Conclusión: Los hallazgos muestran que la mayoría de los profesionales saben reconocerlas y manejarlas, pero es necesaria la formación y la estandarización de actuaciones.(AU)

Review of robotic surgery platforms and end effectors.

In the last 50 years, the number of companies producing automated devices for surgical operations has grown extensively. The population started to be more confident about the technology capabilities. The first patents related to surgical robotics are expiring and this knowledge is becoming a common base for the development of future surgical robotics. The review describes some of the most popular companies manufacturing surgical robots. The list of the company does not pretend to be exhaustive but wishes to give an overview of the sector. Due to space constraints, only a limited selction of companies is reported. Most of the companies described are born in America or Europe. Advantages and limitations of each product firm are described. A special focus is given to the end effectors; their shape and dexterity are crucial for the positive outcome of the surgical operations. New robots are developed every year, and existing robots are allowed to perform a wider range of procedures. Robotic technologies improve the abilities of surgeons in the domains of urology, gynecology, neurology, spine surgery, orthopedic reconstruction (knee, shoulder), hair restoration, oral surgery, thoracic surgery, laparoscopic surgery, and endoscopy.

[Pyogenic granuloma: a frequent and often misunderstood entity in primary care medicine]. / Botriomycome : une entité courante et souvent méconnue en médecine de premier recours.

Botriomycoma, also called pyogenic granuloma, is a common benign skin lesion that usually forms as a result of skin irritation. Although it is considered benign, its potential appearance as a malignant tumor can cause great concern in patients and lead to demand for prompt treatment. This article reviews the current knowledge about this lesion, including its possible causes, clinical manifestations, and treatment options.

Le botriomycome, aussi appelé granulome pyogénique, est une lésion cutanée bénigne courante qui se forme généralement à la suite d'une irritation de la peau. Bien qu'il soit considéré comme bénin, son apparence potentielle de tumeur maligne peut susciter une grande inquiétude chez les patients et entraîner une demande de traitement rapide. Cet article recense les connaissances actuelles sur cette lésion, y compris ses causes possibles, ses manifestations cliniques et les options de traitement.

Robotic surgery: public perceptions and current misconceptions.

Whilst surgeons and robotic companies are key stakeholders involved in the adoption of robotic assisted surgery (RS), the public's role is overlooked. However, given that patients hold ultimate power over their healthcare decisions, public acceptance of RS is crucial. Therefore, this study aims to identify public understanding, opinions, and misconceptions about RS. An online questionnaire distributed between February and May 2021 ascertained the views of UK adults on RS. The themes of questions included familiarity, experience and comfort with RS, opinions on its ethical implications, and the impact of factual information provided to the participant. The data were evaluated using thematic and statistical analysis, including assessing for statistical differences in age, gender, education level, and presence in the medical field. Overall, 216 responses were analysed. Participants were relatively uninformed about RS, with a median knowledge score of 4.00(2.00-6.00) on a 10-point Likert scale. Fears surrounding increased risk, reduced precision and technological failure were identified, alongside misconceptions about its autonomous nature. However, providing factual information in the survey about RS statistically increased participant comfort (p = < 0.0001). Most (61.8%) participants believed robot manufacturers were responsible for malfunctions, but doctors were held accountable more by older, less educated, and non-medical participants. Our findings suggest that there is limited public understanding of RS. The numerous common misconceptions identified present a major barrier to the widespread acceptance of RS, since inaccurate fears about its nature could discourage potential patients from engaging with robotic procedures.

Proteomics: A new dimension to decode small cell lung cancer.

Small cell lung cancer (SCLC) is a recalcitrant malignancy. Conquering it will require deep insight into its biology. In this issue of Cell, Liu and colleagues describe proteomic and phosphoproteomic landscapes of resected SCLC tumors and illustrate the potential of this knowledge to identify new SCLC vulnerabilities.

Exploring a Mechanism Toward Automated Feedback for Cancer Patient Self-Reporting.

"Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.

Circulating Tumor Cells: From Basic to Translational Research.

BACKGROUND: Metastasis is the leading cause of cancer-related deaths. Most studies have focused on the primary tumor or on overt metastatic lesions, leaving a significant knowledge gap concerning blood-borne cancer cell dissemination, a major step in the metastatic cascade. Circulating tumor cells (CTCs) in the blood of patients with solid cancer can now be enumerated and investigated at the molecular level, giving unexpected information on the biology of the metastatic cascade. CONTENT: Here, we reviewed recent advances in basic and translational/clinical research on CTCs as key elements in the metastatic cascade. SUMMARY: Findings from translational studies on CTCs have elucidated the complexity of the metastatic process. Fully understanding this process will open new potential avenues for cancer therapeutic and diagnostic strategies to propose precision medicine to all cancer patients.