Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides.

BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new subtype of tumor, for which novel antibody-drug conjugates have shown beneficial effects. Assessment of HER2 requires several immunohistochemistry tests with an additional in situ hybridization test if a case is classified as HER2 2+. Therefore, novel cost-effective methods to speed up the HER2 assessment are highly desirable. METHODS: We used a self-supervised attention-based weakly supervised method to predict HER2-low directly from 1437 histopathological images from 1351 breast cancer patients. We built six distinct models to explore the ability of classifiers to distinguish between the HER2-negative, HER2-low, and HER2-high classes in different scenarios. The attention-based model was used to comprehend the decision-making process aimed at relevant tissue regions. RESULTS: Our results indicate that the effectiveness of classification models hinges on the consistency and dependability of assay-based tests for HER2, as the outcomes from these tests are utilized as the baseline truth for training our models. Through the use of explainable AI, we reveal histologic patterns associated with the HER2 subtypes. CONCLUSION: Our findings offer a demonstration of how deep learning technologies can be applied to identify HER2 subgroup statuses, potentially enriching the toolkit available for clinical decision-making in oncology.

Beyond tobacco: genomic disparities in lung cancer between smokers and never-smokers.

BACKGROUND: Tobacco use is one of the main risk factors for Lung Cancer (LC) development. However, about 10-20% of those diagnosed with the disease are never-smokers. For Non-Small Cell Lung Cancer (NSCLC) there are clear differences in both the clinical presentation and the tumor genomic profiles between smokers and never-smokers. For example, the Lung Adenocarcinoma (LUAD) histological subtype in never-smokers is predominately found in young women of European, North American, and Asian descent. While the clinical presentation and tumor genomic profiles of smokers have been widely examined, never-smokers are usually underrepresented, especially those of a Latin American (LA) background. In this work, we characterize, for the first time, the difference in the genomic profiles between smokers and never-smokers LC patients from Chile. METHODS: We conduct a comparison by smoking status in the frequencies of genomic alterations (GAs) including somatic mutations and structural variants (fusions) in a total of 10 clinically relevant genes, including the eight most common actionable genes for LC (EGFR, KRAS, ALK, MET, BRAF, RET, ERBB2, and ROS1) and two established driver genes for malignancies other than LC (PIK3CA and MAP2K1). Study participants were grouped as either smokers (current and former, n = 473) or never-smokers (n = 200) according to self-report tobacco use at enrollment. RESULTS: Our findings indicate a higher overall GA frequency for never-smokers compared to smokers (58 vs. 45.7, p-value < 0.01) with the genes EGFR, KRAS, and PIK3CA displaying the highest prevalence while ERBB2, RET, and ROS1 the lowest. Never-smokers present higher frequencies in seven out of the 10 genes; however, smokers harbor a more complex genomic profile. The clearest differences between groups are seen for EGFR (15.6 vs. 21.5, p-value: < 0.01), PIK3CA (6.8 vs 9.5) and ALK (3.2 vs 7.5) in favor of never-smokers, and KRAS (16.3 vs. 11.5) and MAP2K1 (6.6 vs. 3.5) in favor of smokers. Alterations in these genes are comprised almost exclusively by somatic mutations in EGFR and mainly by fusions in ALK, and only by mutations in PIK3CA, KRAS and MAP2K1. CONCLUSIONS: We found clear differences in the genomic landscape by smoking status in LUAD patients from Chile, with potential implications for clinical management in these limited-resource settings.

Volatilomic profiles of gastric juice in gastric cancer patients.

Volatilomics is a powerful tool capable of providing novel biomarkers for the diagnosis of gastric cancer. The main objective of this study was to characterize the volatilomic signatures of gastric juice in order to identify potential alterations induced by gastric cancer. Gas chromatography with mass spectrometric detection, coupled with headspace solid phase microextraction as the pre-concentration technique, was used to identify volatile organic compounds (VOCs) released by gastric juice samples collected from 78 gastric cancer patients and two cohorts of controls (80 and 96 subjects) from four different locations (Latvia, Ukraine, Brazil, and Colombia). 1440 distinct compounds were identified in samples obtained from patients and 1422 in samples provided by controls. However, only 6% of the VOCs exhibited an incidence higher than 20%. Amongst the volatiles emitted, 18 showed differences in their headspace concentrations above gastric juice of cancer patients and controls. Ten of these (1-propanol, 2,3-butanedione, 2-pentanone, benzeneacetaldehyde, 3-methylbutanal, butylated hydroxytoluene, 2-pentyl-furan, 2-ethylhexanal, 2-methylpropanal and phenol) appeared at significantly higher levels in the headspace of the gastric juice samples obtained from patients; whereas, eight species showed lower abundance in patients than found in controls. Given that the difference in the volatilomic signatures can be explained by cancer-related changes in the activity of certain enzymes or pathways, the former set can be considered potential biomarkers for gastric cancer, which may assist in developing non-invasive breath tests for the diagnosis of this disease. Further studies are required to elucidate further the mechanisms that underlie the changes in the volatilomic profile as a result of gastric cancer.

Expression of Truncated Products at the 5'-Terminal Region of RIPK2 and Evolutive Aspects that Support Their Biological Importance.

Alternative splicing is the process of generating different mRNAs from the same primary transcript, which contributes to increase the transcriptome and proteome diversity. Abnormal splicing has been associated with the development of several diseases including cancer. Given that mutations and abnormal levels of the RIPK2 transcript and RIP-2 protein are frequent in tumors, and that RIP-2 modulates immune and inflammatory responses, we investigated alternative splicing events that result in partial deletions of the kinase domain at the N-terminus of RIP-2. We also investigated the structure and expression of the RIPK2 truncated variants and isoforms in different environments. In addition, we searched data throughout Supraprimates evolution that could support the biological importance of RIPK2 alternatively spliced products. We observed that human variants and isoforms were differentially regulated following temperature stress, and that the truncated transcript was more expressed than the long transcript in tumor samples. The inverse was found for the longer protein isoform. The truncated variant was also detected in chimpanzee, gorilla, hare, pika, mouse, rat, and tree shrew. The fact that the same variant has been preserved in mammals with divergence times up to 70 million years raises the hypothesis that it may have a functional significance.

Variability and bias in microbiome metagenomic sequencing: an interlaboratory study comparing experimental protocols.

Several studies have documented the significant impact of methodological choices in microbiome analyses. The myriad of methodological options available complicate the replication of results and generally limit the comparability of findings between independent studies that use differing techniques and measurement pipelines. Here we describe the Mosaic Standards Challenge (MSC), an international interlaboratory study designed to assess the impact of methodological variables on the results. The MSC did not prescribe methods but rather asked participating labs to analyze 7 shared reference samples (5 × human stool samples and 2 × mock communities) using their standard laboratory methods. To capture the array of methodological variables, each participating lab completed a metadata reporting sheet that included 100 different questions regarding the details of their protocol. The goal of this study was to survey the methodological landscape for microbiome metagenomic sequencing (MGS) analyses and the impact of methodological decisions on metagenomic sequencing results. A total of 44 labs participated in the MSC by submitting results (16S or WGS) along with accompanying metadata; thirty 16S rRNA gene amplicon datasets and 14 WGS datasets were collected. The inclusion of two types of reference materials (human stool and mock communities) enabled analysis of both MGS measurement variability between different protocols using the biologically-relevant stool samples, and MGS bias with respect to ground truth values using the DNA mixtures. Owing to the compositional nature of MGS measurements, analyses were conducted on the ratio of Firmicutes: Bacteroidetes allowing us to directly apply common statistical methods. The resulting analysis demonstrated that protocol choices have significant effects, including both bias of the MGS measurement associated with a particular methodological choices, as well as effects on measurement robustness as observed through the spread of results between labs making similar methodological choices. In the analysis of the DNA mock communities, MGS measurement bias was observed even when there was general consensus among the participating laboratories. This study was the result of a collaborative effort that included academic, commercial, and government labs. In addition to highlighting the impact of different methodological decisions on MGS result comparability, this work also provides insights for consideration in future microbiome measurement study design.

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data.

Wastewater-based surveillance (WBS) is an important epidemiological and public health tool for tracking pathogens across the scale of a building, neighbourhood, city, or region. WBS gained widespread adoption globally during the SARS-CoV-2 pandemic for estimating community infection levels by qPCR. Sequencing pathogen genes or genomes from wastewater adds information about pathogen genetic diversity, which can be used to identify viral lineages (including variants of concern) that are circulating in a local population. Capturing the genetic diversity by WBS sequencing is not trivial, as wastewater samples often contain a diverse mixture of viral lineages with real mutations and sequencing errors, which must be deconvoluted computationally from short sequencing reads. In this study we assess nine different computational tools that have recently been developed to address this challenge. We simulated 100 wastewater sequence samples consisting of SARS-CoV-2 BA.1, BA.2, and Delta lineages, in various mixtures, as well as a Delta-Omicron recombinant and a synthetic 'novel' lineage. Most tools performed well in identifying the true lineages present and estimating their relative abundances and were generally robust to variation in sequencing depth and read length. While many tools identified lineages present down to 1 % frequency, results were more reliable above a 5 % threshold. The presence of an unknown synthetic lineage, which represents an unclassified SARS-CoV-2 lineage, increases the error in relative abundance estimates of other lineages, but the magnitude of this effect was small for most tools. The tools also varied in how they labelled novel synthetic lineages and recombinants. While our simulated dataset represents just one of many possible use cases for these methods, we hope it helps users understand potential sources of error or bias in wastewater sequencing analysis and to appreciate the commonalities and differences across methods.

Genomics and epidemiology for gastric adenocarcinomas (GE4GAC): a Brazilian initiative to study gastric cancer

Gastric cancer (GC) is the fifth most common type of cancer worldwide with high incidences in Asia, Central, and South American countries. This patchy distribution means that GC studies are neglected by large research centers from developed countries. The need for further understanding of this complex disease, including the local importance of epidemiological factors and the rich ancestral admixture found in Brazil, stimulated the implementation of the GE4GAC project. GE4GAC aims to embrace epidemiological, clinical, molecular and microbiological data from Brazilian controls and patients with malignant and pre-malignant gastric disease. In this letter, we summarize the main goals of the project, including subject and sample accrual and current findings

Ansiedade na performance musical: tradução, adaptação e validação do Kenny Music Performance Anxiety Inventory (K-MPAI) para a língua portuguesa / Music performance anxiety: translation, adaptation and validation of the Kenny Music Performance Anxiety Inventory (K-MPAI) to the Portuguese language

CONTEXTO: A performance musical requer alto nível de habilidade em diversos parâmetros, como coordenação motora, atenção e memória, o que a torna particularmente suscetível aos estados de ansiedade. Pesquisas nessa área têm avançado com a introdução de instrumentos específicos para abordar a ansiedade na performance musical, como é o caso da Kenny Music Performance Anxiety Inventory (K-MPAI). OBJETIVOS: O presente estudo teve como objetivo traduzir, adaptar e validar a K-MPAI para a língua portuguesa. MÉTODOS: Após autorização da autora, a escala K-MPAI foi traduzida e validada. A escala em língua portuguesa foi aplicada a 218 músicos de ambos os sexos, amadores e profissionais. Para a validação concorrente, foi utilizado o Inventário de Ansiedade Traço-Estado (IDATE), versão validada na língua portuguesa da State Trait Anxiety Inventory (STAI). RESULTADOS: A análise da consistência interna apresentou alfa de Cronbach = 0,957 com p < 0,001, reprodutibilidade com p = 0,378 e validação concorrente com a IDATE com alfa de Cronbach = 0,642 e p < 0,001. CONCLUSÃO: O estudo permite considerar a amostra com graus de confiabilidade e reprodutibilidade elevados, o que traduz este estudo como provindo de uma amostra não tendenciada e replicável a outras populações. A validação concorrente entre a K-MPAI e a IDATE permite inferir que ambas as escalas são comparáveis na capacidade de medir os níveis de ansiedade em musicistas.

BACKGROUND: Musical performance demands high-leveled coordination, concentration, motor- and memory-skills, making it particularly susceptible to anxiety states. Researches in this field have advanced significantly with the development of specific instruments to evaluate music performance anxiety, such as the Kenny Music Performance Anxiety Inventory (K-MPAI). OBJECTIVES: The present study has the objective of translating, adapting and validating the K-MPAI to the Portuguese language. METHODS: After the written consent given by the author of the original K-MPAI scale, the K-MPAI scale was translated and validated for Portuguese idiom. The Portuguese-version of K-MPAI was then applied to 218 amateur and professional musicians of both genders. For the concurrent validation, the validated Portuguese-version of the State Trait Anxiety Inventory (STAI) was used. RESULTS: Analysis of the internal consistency demonstrated a Cronbach's alpha = 0.957, with p < 0.001, replicated with p = 0.378 and the concurrent validation with the State Trait Anxiety Inventory, demonstrated a Cronbach's alpha = 0.642 and p < 0.001. DISCUSSION: The study allows evaluating data samples with high levels of reliability and replicability, which translates this study based on an unbiased sample and replicable to other populations. The concurrent validation between K-MPAI and IDATE, allows inferring that the scales are comparable in their capability of measuring anxiety levels in musicians.

Recent advances in the diagnosis of Schistosoma infection: the detection of parasite DNA

As Schistosoma sp. control programs are chiefly based on treatment of infected population, adequate case finding has a crucial role. The available diagnostic methods are far from ideal, since the search for eggs in stools and the detection of circulating antigens lack sensitivity in low prevalence and post-treatment situations and antibody detection lacks specificity. In most endemic foci, repeated treatment of infected people leaves a number of non-diagnosed and consequently non-treated persons, enough to maintain a persistent residue of 5 to 10 percent prevalence. In an attempt to surpass these diagnostic limitations we have developed a polymerase chain reaction (PCR) for the detection of Schistosoma sp. in feces that, in a first population study, has shown to be more sensitive than three-repeated stool Kato-Katz examination. The PCR may constitute a valuable tool for the diagnosis of the Schistosoma sp. infection in special situations, when high sensitivity and specificity are required and infrastructure is available

Alterações genéticas na doença de Alzheimer / Genetic Alterations in Alzheimer's disease

Com o aumento da expectativa de vida, visto hoje em todo o planeta, um maior número de indivíduos alcança uma idade avançada em que a manifestação de doenças neurodegenerativas é mais freqüente. Entre essas, a doença de Alzheimer (DA) é a causa mais freqüente de demência. Os achados mais marcantes na DA, em cérebros de pacientes acometidos pela doença, são as placas senis, os emaranhados neurofibrilares e a extensa perda neuronal. No entanto, existe uma carência generalizada de marcadores biológicos preditivos ou com valor diagnóstico para a DA. Estudos de genética molecular permitiram identificar quatro genes consistentemente associados com o maior risco de desenvolvimento da doença: APP, apoE, PSEN1 e PSEN2. No entanto, inúmeros estudos apontam para papel importante de outros genes, fortalecendo a hipótese de uma doença poligênica e multifatorial. Neste sentido, novas abordagens de estudo têm um futuro promissor, podendo indicar uma vasta população de genes ou alterações moleculares que possam explicar o surgimento da doença, vindo a fornecer as bases para a compreensão da DA e também para o delineamento de novas e mais eficazes abordagens de tratamento ou prevenção da doença.

Apolipoproteína E e a doença de Alzheimer / Apolipoprotein E and Alzheimer's disease

Sabemos hoje que os polimorfismos no gene da apolipoproteína E (apoE) são importantes fatores de risco para o desenvolvimento da doença de Alzheimer (DA). O gene apoE humano, mapeado no braço longo do cromossomo 19 (19q13.2), codifica uma glicoproteína com 317 aminoácidos, a qual desempenha um papel fundamental para o catabolismo de componentes ricos em triglicérides no corpo humano. Em humanos, existem três alelos principais do gene apoE, decorrentes de apenas duas alterações no DNA, chamados de Upsilon2, Upsilon3 e Upsilon4. A identificação da variante Upsilon4 do gene apoE como o fator genético de risco mais comum para a DA de início tardio sugere que o colesterol deva ter um papel direto na patogênese da doença. Contudo, a simples presença do alelo apoE Upsilon4 não é necessária nem suficiente para causar DA; este alelo apenas aumenta o risco de o indivíduo vir a desenvolver a doença, indicando que existem outros fatores ambientais e genéticos importantes no desenvolvimento da mesma.

Dot-dye-immunoassay for the diagnosis of schistosomiasis mansoni

A new serological assay dot-dye-immunoassay (dot-DIA) was evaluated for the diagnosis of schistosomiasis mansoni. This method consist of four steps: (a) biding of antigens to a nitrocellulose membrane (NC); (b) blocking of free sites of the NC; (c) incubation in specific primary antibody; (d) detection of primary antibody reactivity by color development using second antibody coupled to textile dyes. Sera from 82 individuals, 61 with Schistosoma mansoni eggs in the stool and 21 stool negative were tested by ELISA, dot-ELISA, and dotDIA. A high level of agreement between the methods tested was observed for all sera tested: ELISA x dot-ELISA: 95.1%, ELISA x dot-DIA: 92.7% and dot-ELISA x dot-DIA: 97.6%. In this study, dot-DIA proved to be a feasible, sensitive, rapid and practical test for the diagnosis of shcistosomiasis

A low stringency polymerase chain reaction approach to the identification of Biomphalaria glabrata and B. tenagophila, intermediate snail hosts of Schistosoma mansoni in Brazil

The low stringency polymerase chain reaction (LS-PCR) with a pair of specific primers for the amplification of the 18S rRNA gene was evaluted as a means of differentiating between the two Schistosoma mansoni intermediate host species in Brazil: Biomphalaria glabrata and B. tenagophila. Individual snails obtained from different states of Brazil were used and the amplification patterns obtained showed a high degree of gentic variability in these species. Nevertheless, 4 and 3 clearly defined specific diagnostic bands was observed in individuals from B. glabrata and B. tenagophila respectively. The detection of snail specific diagnostic bands suggests the possibility of reliable species differentiation at DNA level using LS-PCR.

O genoma humano e as perspectivas para o estudo da esquizofrenia / Human genome and the perspectives for schizophrenia

O seqüenciamento de nosso genoma representa um passo essencial no entendimento da biologia humana e no planejamento racional de pesquisas biomédicas. Contudo, é importante notar que o seqüenciamento de um dado genoma é apenas uma parte de um complexo quebra-cabeças. A informação genética deve ser usada como um mapa, a partir do qual começamos a compreender a base das doenças e a importância da variação genética através da análise da complexidade e do comportamento das regiões reguladoras, genes e proteínas, funções gênicas e sistemas celulares. Apesar dos enormes esforços para identificar genes de susceptibilidade, os resultados de estudos de genética molecular de esquizofrenia até o momento têm sido modestos. O uso apropriado da genômica poderá ajudar imensamente na elucidação das causas da esquizofrenia, permitindo avaliar o papel de novos genes, das variações genéticas, das formas de splicing alternativo, das variações de expressão gênica e de vias metabólicas de interesse. A convergência de dados bioquímicos, de imagem, de neuroanatomia, farmacológicos, clínicos e genéticos permite prever que estamos muito próximos de uma melhor compreensão das bases biológicas da esquizofrenia. A disponibilidade desses avanços terá um enorme impacto na pesquisa desta doença.

DNA polymorphism of schistosomes and their snail hosts

Analysis of the genomes of schistosomes and one of their intermediate hosts, Biomphalaria glabrata, using Random Amplified Polymorphic DNA (RAPD) demonstrated that intraspecific genetic polymorphism in the parasite is limited but in the snail is highly pronounced. This suggests an important role for the snail in the determination of the epidemiology of the disease. In addition to their intraspecific stability, schistosome derived RAPDs exhibit a high level of interspecific polymorphism and are thus ideal for the construction of phylogenetic trees. For the detection of intraspecific polymorphisms extensive variation in the mitochondrial DNA is being exploited for the development of a PCR based test for Schistosoma mansoni. Gene level polymorphisms are being analyzed by Low Stringency Single Specific Primer PCR.

Genetic variability and identification of the intermediate snail hosts of Schistosoma mansoni

Studies based on shell or reproductive organ morphology and genetic considerations suggest extensive intraspecific variation in Biomphalaria snails. The high variability at the morphological and genetic levels, as well as the small size of some specimens and similarities between species complicate the correct identification of these snails. Here we review our work using methods based on polymerase chain reaction (PCR) amplification for analysis of genetic variation and identification of Biomphalaria snails from Brazil, Argentina, Uruguay and Paraguay. Arbitrarily primed-PCR revealed that the genome of B. glabrata exhibits a remarkable degree of intraspecific polymorphism. Low stringency-PCR using primers for 18S rRNA permited the identification of B. glabrata, B. tenagophila and B. occidentalis. The study of individuals obtained from geographically distinct populations exhibits significant intraspecific DNA polymorphism, however specimens from the same species, exhibit some species specific LSPs. We also showed that PCR-restriction fragment of length polymorphism of the internal transcribed spacer region of Biomphlaria rDNA, using Ddel permits the differentiation of the three intermediate hosts of Schistosoma mansoni. The molecular biological techniques used in our studies are very useful for the generation of new knowledge concerning the systematics and population genetics of Biomphalaria snails.

Suscetibilidade aos agentes quimioterápicos de isolados de Schistosoma mansoni oriundos de pacientes tratados com oxamniquine e praziquantel e näo curados / Susceptibility to the chemotherapeutical compounds of Schistosoma mansoni from patients treated with oxamniquine and praziquantel and not cured ones

Ten inhabitants of Itaquara, Bahia, Brazil treated with oxamniquine and subsequently praziquantel were not cured. Schistosoma mansoni isolates derived from these patients were studied. Snails were infected with miracidia derived from the feces of these patients and the cercariae produced used to infect albino mice. The animals were then treated with a single oral dose of oxamniquine (25, 50 and 100mg/kg) or praziquantel (100, 200 and 400 mg/kg). The response to chemotherapy was significantly different in some of the isolates although it was not possible to characterize any of them as resistant. In addition, DNA analysis of the isolates by means of ®Random Amplified Polymorphic DNA® indicated a low degree of variability as compared with a laboratory strain, LE. Thus, it was not possible to characterize these organisms at a genetic level as a distinct strain.