[The circulating PD-L1: An emerging predictive biomarker for immune checkpoint inhibitors response]. / Le taux circulant de PD-L1 : un biomarqueur émergent de réponse aux inhibiteurs de checkpoints immunitaires.

Immune checkpoint inhibitors (ICI) have recently become the standard of care for many metastatic solid tumors, with considerable improvements in patient prognosis. However, a non-negligible proportion of patients does not respond to this type of treatment, making it essential to identify predictive factors of this response in order to better adapt the therapy. Among the biomarkers that have been most extensively studied in recent years, tumor PD-L1 levels come out on top, with controversial results for predicting response to ICI. The determination of circulating PD-L1 (or soluble PD-L1) in peripheral blood seems to be an interesting emerging biomarker. Indeed, several studies have investigated its prognostic value, and/or its potential predictive value of response to immunotherapy, and it would appear that there is a correlation between the level of soluble PD-L1 and the level of tumor aggressiveness and therefore prognosis. Furthermore, the results suggest that higher PD-L1 levels are associated with a poorer response to immunotherapy, although this remains to be confirmed in large-scale studies.

Exploration de l'hémolyse associée à la drépanocytose et perspectives thérapeutiques spécifiques: Sickle cell disease hemolysis investigations and targeted therapeutics prospects.

Sickle Cell Anemia is a disease with a strong vascular tropism. Beyond anemia, the pathophysiological mechanisms responsible for hemolysis, directly affect both acute and chronic vascular damages, thus resulting in a systemic disease. Understanding the different types of hemolysis underline the need for novel specific biomarkers. Targeted therapeutic approaches for these pathophysiological pathways are necessary to improve Sickle Cell patients' prognosis. Finally, given its complexity, Sickle Cell Disease is often used as a "proof of concept" for other pathologies. It seems likely that the rapidly evolving knowledge in this field will also benefit other diseases. © 2023 Société nationale française de médecine interne (SNFMI). Published by Elsevier Masson SAS. All rights reserved.

Directive clinique no 442 : Retard de croissance intra-utérin : Dépistage, diagnostic et prise en charge en contexte de grossesse monofœtale.

OBJECTIF: Le retard de croissance intra-utérin est une complication obstétricale fréquente qui touche jusqu'à 10 % des grossesses dans la population générale et qui est le plus souvent due à une pathologie placentaire sous-jacente. L'objectif de la présente directive clinique est de fournir des déclarations sommaires et des recommandations pour appuyer un protocole clinique de dépistage, diagnostic et prise en charge du retard de croissance intra-utérin pour les grossesses à risque ou atteintes. POPULATION CIBLE: Toutes les patientes enceintes menant une grossesse monofœtale. BéNéFICES, RISQUES ET COûTS: La mise en application des recommandations de la présente directive devrait améliorer la compétence des cliniciens quant à la détection du retard de croissance intra-utérin et à la réalisation des interventions indiquées. DONNéES PROBANTES: La littérature publiée a été colligée par des recherches effectuées jusqu'en septembre 2022 dans les bases de données PubMed, Medline, CINAHL et Cochrane Library en utilisant un vocabulaire contrôlé au moyen de termes MeSH pertinents (fetal growth retardation and small for gestational age) et de mots-clés (fetal growth, restriction, growth retardation, IUGR, FGR, low birth weight, small for gestational age, Doppler, placenta, pathology). Seuls les résultats de revues systématiques, d'essais cliniques randomisés ou comparatifs et d'études observationnelles ont été retenus. La littérature grise a été obtenue par des recherches menées dans des sites Web d'organismes s'intéressant à l'évaluation des technologies dans le domaine de la santé et d'organismes connexes, dans des collections de directives cliniques, des registres d'essais cliniques et des sites Web de sociétés de spécialité médicale nationales et internationales. MéTHODES DE VALIDATION: Les auteurs ont évalué la qualité des données probantes et la force des recommandations en utilisant le cadre méthodologique GRADE (Grading of Recommendations Assessment, Development and Evaluation). Voir l'annexe A en ligne (tableau A1 pour les définitions et tableau A2 pour l'interprétation des recommandations fortes et conditionnelles [faibles]). PROFESSIONNELS CONCERNéS: Obstétriciens, médecins de famille, infirmières, sages-femmes, spécialistes en médecine fœto-maternelle, radiologistes et autres professionnels de la santé qui prodiguent des soins aux patientes enceintes. RéSUMé POUR TWITTER: Mise à jour de la directive sur le dépistage, le diagnostic et la prise en charge du retard de croissance intra-utérin pour les grossesses à risque ou atteintes. DÉCLARATIONS SOMMAIRES: RECOMMANDATIONS: Prédiction du retard de croissance intra-utérin Prévention du retard de croissance intra-utérin Détection du retard de croissance intra-utérin Examens en cas de retard de croissance intra-utérin soupçonné Prise en charge du retard de croissance intra-utérin précoce Prise en charge du retard de croissance intra-utérin tardif Prise en charge du post-partum et consultations préconception.

[Radiation-induced pulmonary fibrosis: New potential targets]. / Fibrose pulmonaire radio-induite : nouvelles cibles pour demain.

Radiation-induced pulmonary fibrosis (RIPF) is one of the major and late complications of radiotherapy (RT) with an average incidence rate between 16 and 28% after RT. RIPF significantly affects the function of the affected tissues/organs as well as the quality of life and survival of patients. The process of radiation fibrogenesis is initiated by a very complex signaling network that involves several cellular and molecular factors and the development of effective treatments relies on a better understanding of the involved mechanisms. Despite a major advance in the field, to date there is no clinical treatment that has really shown efficacy in the prevention or treatment of RIPF. In the present review, we will discuss potential new therapeutic avenues that could effectively treat RIPF.

[Chronic lung allograft dysfunction in 2022, past and updates]. / La dysfonction chronique du greffon pulmonaire en 2022 : une entité mieux comprise et un défi thérapeutique.

INTRODUCTION: While short-term results of lung transplantation have improved considerably, long-term survival remains below that achieved for other solid organ transplants. CURRENT KNOWLEDGE: The main cause of late mortality is chronic lung allograft dysfunction (CLAD), which affects nearly half of the recipients 5 years after transplantation. Immunological and non-immune risk factors have been identified. These factors activate the innate and adaptive immune system, leading to lesional and altered wound-healing processes, which result in fibrosis affecting the small airways or interstitial tissue. Several phenotypes of CLAD have been identified based on respiratory function and imaging pattern. Aside from retransplantation, which is possible for only small number of patients, no treatment can reverse the CLAD process. PERSPECTIVES: Current therapeutic research is focused on anti-fibrotic treatments and photopheresis. Basic research has identified numerous biomarkers that could prove to be relevant as therapeutic targets. CONCLUSION: While the pathophysiological mechanisms of CLAD are better understood than before, a major therapeutic challenge remains.

Validation of a data collection set for the psychiatric, addiction, sleep and chronobiological assessments of patients with depression: A Delphi study for the SoPsy-depression French national cohort.

OBJECTIVES: Despite international efforts to identify biomarkers of depression, none has been transferred to clinical practice, neither for diagnosis, evolution, nor therapeutic response. This led us to build a French national cohort (through the clinical and research network named SoPsy within the French biological psychiatry society (AFPBN) and sleep society (SFRMS)), to better identify markers of sleep and biological rhythms and validate more homogeneous subgroups of patients, but also to specify the manifestations and pathogeneses of depressive disorders. Before inclusions, we sought to provide a predefined, standardized, and robust set of data to be collected in all centers. METHODS: A Delphi process was performed to achieve consensus through the independent rating of invited experts, the SoPsy-depression co-investigators (n=34). The initial set open for vote included 94 questionnaires targeting adult and child psychiatry, sleep and addiction. RESULTS: Two questionnaire rounds were completed with 94% participation in the first round and 100% participation in the second round. The results of the Delphi survey incorporated the consensus opinion of the 32 members who completed both rounds. Nineteen of the 94 questionnaires achieved consensus at the first round and seventy of 75 at the second round. The five remaining questionnaires were submitted to three experts involved in the steering committee during a dedicated meeting. At the end, 24 questionnaires were retained in the mandatory and 26 in the optional questionnaire set. CONCLUSIONS: A validated data collection set of questionnaires is now available to assess psychiatry, addiction, sleep and chronobiology dimensions of depressive disorders.

Associations Among Biomarkers of Inflammation, Tubular Injury and Lipid Metabolism With Gestational Diabetes Mellitus Status, Microalbuminuria and Retinopathy in the Microalbuminuria and Retinopathy in Gestational Diabetes Study.

OBJECTIVES: Pregnancy may be complicated by gestational diabetes mellitus (GDM) and/or microvascular complications like albuminuria, retinopathy and pre-eclampsia. In this study we aimed to identify whether mechanistic pathways associated with microvascular complications are active in pregnant women with GDM or microvascular disease. METHODS: Urinary albumin excretion and biomarkers of inflammation, lipoprotein metabolism and tubular injury were quantified in 355 pregnant women with and without GDM. Participants underwent fundus photography graded for retinopathy. Adjusted associations between individual biomarkers and each outcome variable of interest, including GDM status, albuminuria and retinopathy, were performed using logistic regression. RESULTS: After adjusting for age, systolic blood pressure, body mass index and ethnicity, significant associations between GDM status and apolipoprotein A1, interleukin (IL)-6, IL-8, soluble tumour necrosis factor receptor-I and -II (sTNFR-I and -II), vascular endothelial growth factor and von Willebrand factor were observed. Increased high-sensitivity C-reactive protein (hsCRP) and sTNFR-II were associated with higher levels of albuminuria. hsCRP and previous GDM were associated with retinopathy. CONCLUSION: Mechanistic pathways associated with microvascular complications appear to be active in pregnant women with GDM or microvascular disease.

Apport de l'immunothérapie dans le traitement des cancers des voies biliaires avancés.

Contribution of immunotherapy in the treatment of advanced biliary tract cancer Biliary tract cancers (BTC) are rare tumors with a poor prognosis. Their treatment, at an advanced stage, relies on combinations of chemotherapies, which have a limited range and duration of benefit. Immunotherapy has emerged in recent years as a new therapeutic approach for BTC. However, the benefit with currently available treatments seems more modest than in other tumor locations and the predictive markers of response to these treatments remain to be identified. This review article summarizes the rationale, current data, and prospects and challenges for the development of immunotherapy in BTC.

[Biomarkers for the diagnosis of cognitive impairment - Recommendations from the Swiss Memory Clinics]. / Biomarker in der Diagnostik kognitiver Störungen ­ Empfehlungen der Swiss Memory Clinics.

Biomarkers for the diagnosis of cognitive impairment - Recommendations from the Swiss Memory Clinics Abstract. Molecular cerebrospinal fluid (CSF) biomarkers of neurodegenerative diseases are now part of the established diagnostic tools for the clinical investigation of cognitive disorders in the elderly. Biomarkers allow for earlier and more accurate differential diagnosis, and are recommended by the Swiss Memory Clinics as an additional investigation based upon individual indication. Information and counselling are needed both before and after biomarker-supported diagnosis. The procedures for diagnostic lumbar punctures and pre-analytical sample handling should follow published recommendations. The results must be interpreted in the context of the other available history and assessment outcome. Thanks to recent research progress, blood-based biomarkers and other non-invasive markers are expected to become available for clinical practice in the near future. This trend will likely lead to a much broader utilisation of biomarkers and may accelerate the development of effective and individually tailored prevention and treatment approaches. This review article provides an overview over the current state of biomarkers and provides the recommendations of the Swiss Memory Clinics for their use in clinical practice.

miR-181a-5p is a potential candidate epigenetic biomarker in multiple sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by demyelination and axonal degeneration. Abnormal expression of microRNAs (miRNAs) plays an important role in MS pathology. In this cohort study, differential expression of the four miRNAs (hsa-miR-155-5p, hsa-miR-9-5p, hsa-miR-181a-5p, and hsa-miR-125b-5p) was investigated in 69 individuals, including 39 MS patients (relapsing-remitting MS (RRMS), n = 27; secondary progressive MS (SPMS), n = 12) and 30 healthy controls. In silico analyses revealed possible genes and pathways specific to miRNAs. Peripheral blood miRNA expressions were detected by quantitative real-time PCR (qPCR). hsa-miR-181a-5p was downregulated and associated with increased MS risk (P = 0.012). The other three miRNAs were upregulated and not associated with MS (P < 0.05). The area under the curve (AUC) is 0.779. In silico analyses showed that hsa-miR-181a-5p may participate in MS pathology by targeting MAP2K1, CREB1, ATXN1, and ATXN3 genes in inflammation and neurodegeneration pathways. The circulatory hsa-miR-181a-5p can regulate target genes, reversing the mechanisms involved in MS pathologies such as protein uptake and processing, cell proliferation and survival, inflammation, and neurodegeneration. Thus, this miRNA could be used as an epigenomic-guided diagnostic tool and for therapeutic purpose.

["Imaging of diagnostic and therapeutic biomarkers in oncology" XIIIth edition of the workshop organised by the « Vectorisation, Imagerie, Radiothérapies ¼ network of the Cancéropôle Grand-Ouest, September 25-28, 2019, Le Bono, France]. / "Imaging of diagnostic and therapeutic biomarkers in oncology" XIIIe édition du workshop organisé par le réseau « Vectorisation, Imagerie, Radiothérapies ¼ du Cancéropôle Grand-Ouest, 25­28 septembre 2019, Le Bono, France.

The thirteenth edition of the workshop focused on the last developments on oncologic imaging techniques. Our goal was purposely large, consisting in bringing together chemists, biologists, physicists, pharmacists and physicians to discuss these imaging developments. The meeting focused in four main topics: i) the evolution of imaging modalities such as photoacoustic or the latest PET (positrons emission tomography) imaging progress; ii) the improvements in imaging process; iii) the numerous contributions of chemistry towards medical imaging and iv) novel approaches of nuclear medicine in therapeutic monitoring strategies and theranostic aspects.

[The promise of omics in the precision medicine era]. / Les promesses des sciences omiques à l'ère de la médecine de précision.

The rise of omics technologies that simultaneously measure thousands of molecules in a complex biological sample represents the core of systems biology. These technologies have profoundly impacted biomarkers and therapeutic targets discovery in the precision medicine era. Systems biology aims to perform a systematic probing of complex interactions in biological systems. Powered by high-throughput omics technologies and high-performance computing, systems biology provides relevant, resolving, and multi-scale overviews from cells to populations. Precision medicine takes advantage of these conceptual and technological developments and is based on two main pillars: the generation of multimodal data and their subsequent modeling. High-throughput omics technologies enable the comprehensive and holistic extraction of biological information, while computational capabilities enable multidimensional modeling and, as a result, offer an intuitive and intelligible visualization. Despite their promise, translating these technologies into clinically actionable tools has been slow. In this contribution, we present the most recent multi-omics data generation and analysis strategies and their clinical deployment in the post-genomic era. Furthermore, medical application challenges of omics-based biomarkers are discussed.

Cheese Intake is Inversely Associated with LDL Cholesterol in Young Children.

Purpose: To determine if intake (servings/day) of total dairy and/or dairy subtypes (milk, cheese, and yogurt) were associated with biomarkers related to dyslipidemia, insulin sensitivity and inflammation in a sample of cardio-metabolically healthy young children from the Guelph Family Health Study at the University of Guelph, Guelph, Ontario, Canada.Methods: Baseline data from 42 children (aged 2.0-6.2 years) from 33 families who provided a dietary assessment and a fasted blood sample were included in this cross-sectional analysis. Linear and logistic regressions using generalized estimating equations were used for analysis and models were adjusted for age, gender, and household income.Results: In total, 42 children (3.74 ± 1.23 years old; mean (± SD)) consumed median (25th percentile, 75th percentile) servings/day of 1.70 (1.16, 2.81) for total dairy, 0.74 (0.50, 1.70) for milk, 0.63 (0.00, 1.16) for cheese, and 0.00 (0.00, 0.38) for yogurt. Cheese intake was significantly inversely associated with LDL cholesterol (-0.16 (95% CI: -0.29, -0.03) mmol/L per serving; P = 0.02)). No other associations between dairy intake and biomarkers were significant.Conclusions: Cheese intake was inversely associated with LDL cholesterol in this preliminary study of cardio-metabolically healthy young children, thereby warranting further research on dairy intake and cardiometabolic risk factors.

Mitochondrial-derived peptides: New markers for cardiometabolic dysfunction.

Great attention is being paid to the evaluation of new markers in blood circulation for the estimation of tissue metabolism disturbance. This endogenous disturbance may contribute to the onset and progression of cardiometabolic disease. In addition to their role in energy production and metabolism, mitochondria play a main function in cellular mechanisms, including apoptosis, oxidative stress and calcium homeostasis. Mitochondria produce mitochondrial-derived peptides that mediate the transcriptional stress response by translocating into the nucleus and interacting with deoxyribonucleic acid. This class of peptides includes humanin, mitochondrial open reading frame of the 12S ribosomal ribonucleic acid type c (MOTS-c) and small humanin-like peptides. Mitochondrial-derived peptides are regulators of metabolism, exerting cytoprotective effects through antioxidative stress, anti-inflammatory responses and antiapoptosis; they are emerging biomarkers reflecting mitochondrial function, and the circulating concentration of these proteins can be used to diagnose cardiometabolic dysfunction. The aims of this review are: (1) to describe the emerging role for mitochondrial-derived peptides as biomarkers; and (2) to discuss the therapeutic application of these peptides.

Validation of an automated self-administered 24-hour dietary recall web application against urinary recovery biomarkers in a sample of French-speaking adults of the province of Québec, Canada.

The objective of this study was to validate an automated self-administered 24-hour dietary recall web application (R24W) against recovery biomarkers for sodium, potassium and protein intakes and to identify individual characteristics associated with misreporting in a sample of 61 men and 69 women aged 20-65 years from Québec City, Canada. Each participant completed 3 dietary recalls using the R24W, provided two 24-hour urinary samples and completed questionnaires to document psychosocial factors. Mean reported intakes were 2.2%, 2.1% and 5.0% lower than the urinary reference values, respectively, for sodium, potassium and proteins (significant difference for proteins only (p = 0.04)). Deattenuated correlations between the self-reported intake and biomarkers were significant for sodium (r = 0.48), potassium (r = 0.56) and proteins (r = 0.68). Cross-classification showed that 39.7% (sodium), 42.9% (potassium) and 42.1% (proteins) of participants were ranked into the same quartile with both methods and only 4.8% (sodium), 3.2% (potassium) and 0.8% (proteins) were ranked in opposite quartiles. Lower body esteem related to appearance was associated with sodium underreporting in women (r = 0.33, p = 0.006). No other individual factor was found to be associated with misreporting. These results suggest that the R24W has a good validity for the assessment of sodium, potassium and protein intakes in a sample of French-speaking adults. Novelty: The validity of an automated self-administered 24-hour dietary recall web application named the R24W was tested using urinary biomarkers. According to 7 criteria, the R24W was found to have a good validity to assess self-reported intakes of sodium, potassium and proteins.

[Clinical use and evolution of circulating biomarkers in the era of personalized oncology: From protein markers to bioclinical scores]. / Utilisation clinique et évolution des biomarqueurs circulants à l'ère de l'oncologie personnalisée : des marqueurs protéiques aux scores clinicobiologiques.

In oncology, the identification of targets that correlate with a type of cancer has led to a profound change in the notion of "tumor markers". Technological advances, in particular the development of high-throughput sequencing, have led to the emergence of a new generation of molecular biomarkers for tumors. Despite their limited utility for screening and diagnosis, conventional tumor markers remain interesting for evaluation of prognoses, the choice and optimization of treatments, as well as for monitoring the effectiveness of those treatments. In this article, we revisit the conventional serum markers that are enjoying a 'come back' thanks to the development of high-performance scores based on biological, cytological, clinical, or radiological criteria.

Cardiometabolic risk, biological sex, and age do not share an interactive relationship with cognitive function: a cross-sectional analysis of the Canadian Longitudinal Study on Aging.

It is unclear whether cardiometabolic risk shares an interactive relationship with age-associated differences in cognition, and whether this relationship varies by biological sex. We conducted a cross-sectional analysis using baseline data from the Canadian Longitudinal Study on Aging (CLSA; 2010-2015) to examine whether 1) cardiometabolic risk has an interactive relationship with age-associated cognition; and 2) interactive effects are sex-dependent. We measured memory, executive function, and verbal fluency in the Comprehensive cohort (N = 25 830; 45-86 years). Each cognitive domain was modeled using restricted cubic splines for age and each cardiometabolic risk factor (HbA1c, HSCRP, TG, and LDL and HDL cholesterol). Sex was included as a predictor in all models. Wald χ2 statistics were used to determine the relative importance of age, cardiometabolic risk, sex, and their interactive effects on cognition. Age was the most important variable in each model (proportion χ2 = 34%-48%). Biological sex was the second most important variable for memory (proportion χ2 = 26%) but was unimportant for executive function and verbal fluency (proportion χ2 = 3%-5%). Cardiometabolic risk factors were unimportant predictors in each model (proportion χ2 = 1%-3%). Two- and 3-way interactions between cardiometabolic risk, age, and sex were also unimportant (proportion χ2 = 0%-2%). Thus, cardiometabolic risk factors did not meaningfully account for age-associated differences in cognition, and these associations (or lack thereof) did not vary by sex. Novelty: Males have poorer age-associated cognitive performance than females. Females and males differ in cardiometabolic risk across middle and older adulthood. Cardiometabolic risk has a small association with age-associated cognition, and there are no sex differences in this relationship.

Evaluation of the diagnostic accuracy of current biomarkers in heart failure with preserved ejection fraction: A systematic review and meta-analysis.

BACKGROUND: A number of circulating biomarkers are currently utilized for the diagnosis of chronic heart failure with preserved ejection fraction (HFpEF). However, due to HFpEF heterogeneity, the accuracy of these biomarkers remains unclear. AIMS: This study aimed to systematically determine the diagnostic accuracy of currently available biomarkers for chronic HFpEF. METHODS: PubMed, Web of Science, MEDLINE and SCOPUS databases were searched systematically to identify studies assessing the diagnostic accuracy of biomarkers of chronic HFpEF with left ventricular ejection fraction (LVEF) ≥50%. All included studies were independently assessed for quality and relevant information was extracted. Random-effects models were used to estimate the pooled diagnostic accuracy of HFpEF biomarkers. RESULTS: The search identified 6145 studies, of which 19 were included. Four biomarkers were available for meta-analysis. The pooled sensitivity of B-type natriuretic peptide (BNP) (0.787, 95% confidence interval [CI] 0.719-0.842) was higher than that of N-terminal pro-BNP (NT-proBNP) (0.696, 95% CI 0.599-0.779) in chronic HFpEF diagnosis. However, NT-proBNP showed improved specificity (0.882, 95% CI 0.778-0.941) compared to BNP (\0.796, 95% CI 0.672-0.882). Galectin-3 (Gal-3) exhibited a reliable diagnostic adequacy for HFpEF (sensitivity 0.760, 95% CI 0.631-0.855; specificity 0.803, 95% CI 0.667-0.893). However, suppression of tumorigenesis-2 (ST2) displayed limited diagnostic performance for chronic HFpEF diagnosis (sensitivity 0.636, 95% CI 0.465-0.779; specificity 0.595, 95% CI 0.427-0.743). CONCLUSION: NT-proBNP and BNP appear to be the most reliable biomarkers in chronic HFpEF with NT-proBNP showing higher specificity and BNP showing higher sensitivity. Although Gal-3 appears more reliable than ST2 in HFpEF diagnosis, the conclusions are limited as only three studies were included in this meta-analysis.

[RNAseq in routine oncology]. / Le RNAseq en oncologie de routine.

High throughput RNA sequencing, also know as RNAseq, can easily be performed on the gold-standard technique of formalin-fixed paraffin-embedded tissue, which has long been successfully used in routine practice by pathologists. For this reason, RNAseq has been fully adopted in a very short period of time in most French molecular platforms of cancer genotyping, generating "high throughput" data, both qualitative (mutations, fusions) and quantitative (gene expression profiles). This technique opens new perspectives in oncology practice: from a diagnostic point of view (some gene fusions are specific of some diagnoses, some transcriptomic signatures suggest some types of cancer), but also from a prognostic point of view (gene expression profile of an aggressive tumor, or conversely of an indolent one), and above all from a predictive point of view, guiding the choice of potential targeted therapies (example of ALK, ROS1 or NTRK translocations). This technical approach has many advantages, first and foremost it detects, at one go, a plethora of molecular alterations which were previously analyzed sequentially using heterogenous assays (immunohistochemistry, DNA genotyping, fluorescent in situ hybridization, etc.). However, it also presents several drawbacks which may easily be overcome if certain pre-analytic parameters are correctly controlled, mainly aiming at the preservation of the quality of nucleic acids. In any event, the widespread use of RNAseq has had a profound impact on the algorithms of tumor tissue processing, shaping a new, holistic era in oncology.