A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays.

Generalization of deep learning (DL) algorithms is critical for the secure implementation of computer-aided diagnosis systems in clinical practice. However, broad generalization remains to be a challenge in machine learning. This research aims to identify and study potential factors that can affect the internal validation and generalization of DL networks, namely the institution where the images come from, the image processing applied by the X-ray device, and the type of response function of the X-ray device.

SEOM-GECOD clinical guideline for unknown primary cancer (2021).

Cancer of unknown primary site (CUP) is defined as a heterogeneous group of tumors that appear as metastases, and of which standard diagnostic work-up fails to identify the origin. It is considered a separate entity with a specific biology, and nowadays molecular characteristics and the determination of actionable mutations may be important in a significant group of patients. In this guide, we summarize the diagnostic, therapeutic, and possible new developments in molecular medicine that may help us in the management of this unique disease entity.

Ibero-American Expert Consensus on Squamous Cell Carcinoma of the Head and Neck Treatment in Patients Unable to Receive Cisplatin: Recommendations for Clinical Practice.

Cisplatin is the standard of treatment for squamous cell carcinoma of the head and neck (SCCHN) that has demonstrated efficacy, either in locally advanced disease when combined with radiotherapy at high doses, or in metastatic/recurrent disease when combined with other agents. However, the usual toxicities related to cisplatin, such as neurotoxicity, nephrotoxicity, ototoxicity, and hematologic toxicities, especially when high doses have been administered, have important implications in the patients' quality of life. The decision to administer cisplatin depends on several patient factors, such as age, performance status, weight loss, comorbidities, previous toxicities, chronic viral infection, or even the current SARS-CoV-2 pandemic.

A primer on deep learning and convolutional neural networks for clinicians.

Deep learning is nowadays at the forefront of artificial intelligence. More precisely, the use of convolutional neural networks has drastically improved the learning capabilities of computer vision applications, being able to directly consider raw data without any prior feature extraction. Advanced methods in the machine learning field, such as adaptive momentum algorithms or dropout regularization, have dramatically improved the convolutional neural networks predicting ability, outperforming that of conventional fully connected neural networks.

Oncogenic driver mutations predict outcome in a cohort of head and neck squamous cell carcinoma (HNSCC) patients within a clinical trial.

234 diagnostic formalin-fixed paraffin-embedded (FFPE) blocks from homogeneously treated patients with locally advanced head and neck squamous cell carcinoma (HNSCC) within a multicentre phase III clinical trial were characterised. The mutational spectrum was examined by next generation sequencing in the 26 most frequent oncogenic drivers in cancer and correlated with treatment response and survival. Human papillomavirus (HPV) status was measured by p16INK4a immunohistochemistry in oropharyngeal tumours.

Blood Predictive Biomarkers for Patients With Non-small-cell Lung Cancer Associated With Clinical Response to Nivolumab.

Background: Immunotherapy is a promising cancer treatment, but surrogate biomarkers of clinical efficacy have not been fully validated. The aim of this work was to evaluate several biomarkers as predictors of response to nivolumab monotherapy in patients with non-small-cell lung cancer.

Patients And Methods: Blood samples was collected at baseline, at 2 months after treatment start, and at disease progression.

[2018 Consensus statement by the Spanish Society of Pathology and the Spanish Society of Medical Oncology on the diagnosis and treatment of cancer of unknown primary].

Cancer of unknown primary is defined as a heterogeneous group of tumours that present with metastasis, and in which attempts to identify the original site have failed. They differ from other primary tumours in their biological features and how they spread, which means they can be considered a separate entity. There are several hypotheses regarding their origin, but the most plausible explanation for their aggressiveness and chemoresistance seems to involve chromosomal instability.

Prospective Clinical Integration of an Amplicon-Based Next-Generation Sequencing Method to Select Advanced Non-Small-Cell Lung Cancer Patients for Genotype-Tailored Treatments.

Introduction: A substantial fraction of non-small-cell lung cancers (NSCLCs) harbor targetable genetic alterations. In this study, we analyzed the feasibility and clinical utility of integrating a next-generation sequencing (NGS) panel into our routine lung cancer molecular subtyping algorithm.

Patients And Methods: After routine pathologic and molecular subtyping, we implemented an amplicon-based gene panel for DNA analysis covering mutational hot spots in 22 cancer genes in consecutive advanced-stage NSCLCs.

Second-line Treatment of Non-Small Cell Lung Cancer: Focus on the Clinical Development of Dacomitinib.

Dacomitinib is a second-generation, irreversible, covalent pan-HER tyrosine-kinase inhibitor (TKI). It showed potent EGFR signaling inhibition in experimental models, including first-generation TKI-resistant non-small cell lung cancer (NSCLC) cell lines. This preclinical efficacy did not translate into clinically meaningful treatment benefits for advanced, pretreated, molecularly unselected NSCLC patients enrolled in two parallel phase III trials.

Blood-based biomarkers for monitoring antiangiogenic therapy in non-small cell lung cancer.

Tumor angiogenesis pathways have been identified as important therapeutic targets in non-small cell lung cancer. However, no biomarkers have been described as predictors of response to antiangiogenic therapy in these patients. In this study, plasma levels of VEGF, bFGF, E-selectin, and S-ICAM and gene expression profiles of peripheral blood mononuclear cells from non-small cell lung cancer patients treated with chemotherapy plus bevacizumab were analyzed before and after treatment.

The new IASLC/ATS/ERS lung adenocarcinoma classification from a clinical perspective: current concepts and future prospects.

The new the International Association for the Study of Lung Cancer (IASLC)/the American Thoracic Society (ATS)/the European Respiratory Society (ERS) pathologic classification of lung cancer has markedly changed the pathologic diagnosis of lung adenocarcinoma. This classification deals with many aspects that directly affect clinical practice, and opens new gateways for future research. By means of a multidisciplinary approach, it differs significantly from the former 2004 the World Health Organization (WHO) classification, which was mainly written by pathologist.

Prognostic value of dual-specificity phosphatase 6 expression in non-small cell lung cancer.

Dual-specificity phosphatase 6 (DUSP6/MKP-3) is a mitogen-activated protein kinase phosphatase that regulates extracellular signal-regulated kinases (ERKs) activity via feedback mechanisms, with an increasingly recognized role in tumour biology. The aim of this study was to explore the role of DUSP6 expression in the prognosis of human non-small cell lung cancer (NSCLC). DUSP6 expression levels were evaluated by real-time quantitative reverse transcription polymerase chain reaction (PCR) in 60 NSCLC samples from patients who underwent pulmonary resection at 12 de Octubre University Hospital.

DICER1, DROSHA and miRNAs in patients with non-small cell lung cancer: implications for outcomes and histologic classification.

The clinical and functional significance of RNA-interference machinery in lung cancer is poorly understood. Besides, microRNAs (miRNA) have the potential to serve both as biomarkers and therapeutic agents, by personalizing diagnosis and therapy. In this study, we investigated whether the expression levels of DICER1 and DROSHA, components of the RNA-interference machinery, can predict survival, and whether the miRNA expression profiles can differentiate histologic subtypes in non-small cell lung cancer (NSCLC).

Sorafenib in metastatic thyroid cancer.

Although thyroid cancer usually has an excellent prognosis, few therapeutic options are available in the refractory setting. Based on the recent results of phase II studies with tyrosine kinase inhibitors, we designed a retrospective analysis of patients with metastatic thyroid cancer treated with sorafenib in seven Spanish referral centers. Consecutive patients with progressive metastatic thyroid cancer (papillary, follicular, medullary, and anaplastic) not suitable for curative surgery, radioactive-iodine therapy, or radiotherapy were treated with sorafenib 400 mg twice a day.