Evaluating tumour budding could improve the new grading system for lung adenocarcinoma.

Objectives: To study the prognostic significance of tumour budding (TB) compared with the grading of lung adenocarcinoma (LAC).

Materials And Methods: The postoperative haematoxylin and eosin-stained histological slices of 207 surgically treated LAC patients were retrospectively reviewed by a lung pathologist. Two groups were formed from the cohort: the high-grade TB group (≥10 buds) and low-grade TB group (0-9 buds).

Real-World Evidence Study of Patients with -Mutated NSCLC in Finland.

While is the most frequently mutated oncogene in non-small cell lung cancer (NSCLC), -mutant tumors have long been considered difficult to treat and thus, an unmet need still remains. Partly due to the lack of targeted treatments, comprehensive real-world description of NSCLC patients with mutation is still largely missing in Finland. In this study, all adult patients diagnosed with locally advanced and unresectable or metastatic NSCLC from 1 January 2018 to 31 August 2020 at the Hospital District of Helsinki and Uusimaa were first identified in this retrospective registry-based real-world study.

Trends in cost of treatment of lung cancer patients in 2014-2019 in Finland - a descriptive register study.

Aim: The aim of this descriptive study is to analyze the cost for the treatment of NSCLC and SCLC patients (2014-2019) in Finland. The primary objective is to understand recent (2014-2019) cost developments.

Methods: The study is retrospective and based on hospital register data.

The prognostic and predictive roles of plasma C-reactive protein and PD-L1 in non-small cell lung cancer.

Background: Anti-PD-(L)1 agents have revolutionized the treatment paradigms of non-small cell lung cancer (NSCLC), while predictive biomarkers are limited. It has been previously shown that systemic inflammation, indicated by elevated C-reactive protein (CRP) level, is associated with a poor prognosis in anti-PD-(L)1 treated. The aim of the study was to analyze the prognostic and predictive value of CRP in addition to traditional prognostic and predictive markers and tumor PD-L1 score.

Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models.

The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide, along with obesity. Therefore, novel methods to both efficiently study the manifestation of nonalcoholic fatty liver disease and to analyze drug efficacy in preclinical models are needed. The present study developed a deep neural network-based model to quantify microvesicular and macrovesicular steatosis in the liver on hematoxylin-eosin-stained whole slide images, using the cloud-based platform, Aiforia Create.

Association of CT findings with invasive subtypes and the new grading system of lung adenocarcinoma.

Aim: To predict the differentiation between invasive growth patterns and new grades of lung adenocarcinoma (LAC) using computed tomography (CT).

Materials And Methods: The CT features of 180 surgically treated LAC patients were compared retrospectively to pathological invasive subtypes and tumour grades as defined by the new grading system published in 2021 by the World Health Organization. Two radiologists reviewed the images semi-quantitatively and independently.

Automated image analysis of keratin 7 staining can predict disease outcome in primary sclerosing cholangitis.

Background And Aims: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease that obstructs the bile ducts and causes liver cirrhosis and cholangiocarcinoma. Efficient surrogate markers are required to measure disease progression. The cytokeratin 7 (K7) load in a liver specimen is an independent prognostic indicator that can be measured from digitalized slides using artificial intelligence (AI)-based models.

PI3Kβ inhibition enhances ALK-inhibitor sensitivity in ALK-rearranged lung cancer.

Treatment with anaplastic lymphoma kinase (ALK) inhibitors significantly improves outcome for non-small-cell lung cancer (NSCLC) patients with ALK-rearranged tumors. However, clinical resistance typically develops over time and, in the majority of cases, resistance mechanisms are ALK-independent. We generated tumor cell cultures from multiple regions of an ALK-rearranged clinical tumor specimen and deployed functional drug screens to identify modulators of ALK-inhibitor response.

Protocol to utilize fresh uncultured human lung tumor cells for personalized functional diagnostics.

Drug sensitivity data acquired from solid tumor-derived cultures are often unsuitable for personalized treatment guidance due to the lengthy turnaround time. Here, we present a protocol for determining ex vivo drug sensitivities using fresh uncultured human lung tumor-derived EpCAM epithelial cells (FUTCs). We describe steps for drug testing in FUTCs to identify tumor cell-selective single or combination therapy in 72 h of sample processing.

Trends in treatment of non-small cell lung cancer in Finland 2014-2019.

Introduction: Non-small cell lung cancer (NSCLC) is a leading cause of cancer mortality in the Western world. However, emerging treatment options and more patients directed to active treatments might improve the outcomes. Here, we retrospectively studied the patient characteristics and treatment practices for NSCLC in Finland 2014-2019 with a special focus on changes in trends over time.

Functional diagnostics using fresh uncultured lung tumor cells to guide personalized treatments.

Functional profiling of a cancer patient's tumor cells holds potential to tailor personalized cancer treatment. Here, we report the utility of fresh uncultured tumor-derived EpCAM epithelial cells (FUTCs) for drug-response interrogation. Analysis of murine mutant FUTCs demonstrates pharmacological and adaptive signaling profiles comparable to subtype-matched cultured cells.

Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens.

Background: The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of 210 liver specimens. We aimed to study the correlation between the AI model's results and disease progression. The cohort of liver biopsies which served as a model of chronic cholestatic liver disease comprised of patients diagnosed with primary sclerosing cholangitis (PSC).

Elevated CRP levels indicate poor progression-free and overall survival on cancer patients treated with PD-1 inhibitors.

Background: Anti-PD-(L)1 agents are standard of care treatments in various cancers but predictive factors for therapy selection are limited. We hypothesised that markers of systemic inflammation would predict adverse outcomes in multiple cancers treated with anti-PD-(L)1 agents.

Material And Methods: Discovery cohort consisted of patients who were treated with anti-programmed cell death protein-1 (PD-1) agents for advanced melanoma (MEL), non-small cell lung cancer (NSCLC) or renal and bladder cancers (GU) at Oulu University Hospital and had pretreatment C reactive protein (CRP), or neutrophil/lymphocyte values available.

Performance of Finnish biobanks in nationwide pulmonary carcinoid tumour research.

Finnish hospital-integrated biobanks administer millions of formalin-fixed paraffin-embedded tissue samples collected within the clinical diagnostics. According to the Finnish Biobank Act, these samples can be coupled with patients' clinical follow-up data and the data retrieved from national health registries. We collected a nationwide pulmonary carcinoid tumour series from Finnish biobanks to study prognostic factors as well as to explore how the number of tumours found in the Finnish biobanks corresponds to the number of tumours registered by the Finnish Cancer Registry (FCR).

PD-1 and PD-L1 expression in pulmonary carcinoid tumors and their association to tumor spread.

Pulmonary carcinoid (PC) tumors are rare tumors that account for approximately 1% of all lung cancers. The primary treatment option is surgery, while there is no standard treatment for metastatic disease. As the number of PCs diagnosed yearly is increasing, there is a need to establish novel therapeutic options.

Somatostatin Receptor Expression Is Associated With Metastasis and Patient Outcome in Pulmonary Carcinoid Tumors.

Context: Pulmonary carcinoids (PCs) belong to neuroendocrine tumors that often overexpress somatostatin receptors (SSTRs). This overexpression provides a molecular basis for tumor imaging and treatment with somatostatin analogs.

Objective: To evaluate SSTR1 to SSTR5 distribution in a large set of PC tumors and to investigate whether the expression is associated with clinicopathological and outcome data.

Co-circulation of highly diverse Aleutian mink disease virus strains in Finland.

Aleutian mink disease virus (AMDV) is the causative agent of Aleutian disease (AD), which affects mink of all genotypes and also infects other mustelids such as ferrets, martens and badgers. Previous studies have investigated diversity in Finnish AMDV strains, but these studies have been restricted to small parts of the virus genome, and mostly from newly infected farms and free-ranging mustelids. Here, we investigated the diversity and evolution of Finnish AMDV strains by sequencing the complete coding sequences of 31 strains from mink originating from farms differing in their virus history, as well as from free-ranging mink.

Hotspot Mutations Detectable by Next-generation Sequencing in Exhaled Breath Condensates from Patients with Lung Cancer.

Background: Genetic alterations occurring in lung cancer are the basis for defining molecular subtypes and essential for targeted therapies. Exhaled breath condensate (EBC) is a form of non-invasive sample that, amongst components, contains DNA from pulmonary tissue. Next-generation sequencing (NGS) was herein used to analyze mutations in EBC from patients with lung cancer.

Clinicopathological indicators of survival among patients with pulmonary carcinoid tumor.

Background: Pulmonary carcinoids (PC) are rare malignant neoplasms that cover approximately 1% of all lung cancers. PCs are classified by histological criteria as either typical (TC) or atypical (AC). Histological subtype is the most studied prognostic factor.

Presence of cancer-associated mutations in exhaled breath condensates of healthy individuals by next generation sequencing.

Exhaled breath condensate (EBC) is a non-invasive source that can be used for studying different genetic alterations occurring in lung tissue. However, the low yield of DNA available from EBC has hampered the more detailed mutation analysis by conventional methods. We applied the more sensitive amplicon-based next generation sequencing (NGS) to identify cancer related mutations in DNA isolated from EBC.

Hot spot mutations in Finnish non-small cell lung cancers.

Objectives: Non-small cell lung cancer (NSCLC) is a common cancer with a poor prognosis. The aim of this study was to screen Finnish NSCLC tumor samples for common cancer-related mutations by targeted next generation sequencing and to determine their concurrences and associations with clinical features.

Materials And Methods: Sequencing libraries were prepared from DNA isolated from formalin-fixed, paraffin-embedded tumor material of 425 patients using the AmpliSeq Colon and Lung panel covering mutational hot spot regions of 22 cancer genes.

Exhaled breath condensate as a source of biomarkers for lung carcinomas. A focus on genetic and epigenetic markers-A mini-review.

Lung carcinoma is one of the most common causes of cancer-related mortality worldwide. It is an aggressive tumor, often diagnosed at an advanced stage when treatment options are limited. Currently, the importance of detection and assessment of various genetic alterations in cancer is recognized as they can serve as very helpful markers in early diagnosis and follow-up of treatment regimens.

Combined Expression of IFN-γ, IL-17, and IL-4 mRNA by Recall PBMCs Moderately Discriminates Active Tuberculosis from Latent Mycobacterium tuberculosis Infection in Patients with Miscellaneous Inflammatory Underlying Conditions.

New biomarkers are needed for discriminating active tuberculosis (TB) from latent TB infection (LTBI), especially in vulnerable groups representing the major diagnostic challenge. This pilot study was carried out to explore the diagnostic potential of selected genes, IFN-γ, IL-17, IL-4, and FoxP3, associated with TB immunity and immunopathology. IFN-γ, IL-17, IL-4, and FoxP3 mRNA expression levels were measured by quantitative reverse transcription PCR (RT-qPCR) from antigen-stimulated peripheral blood mononuclear cells of patients with active TB (n = 25); patients with miscellaneous inflammatory disorders and concomitant LTBI (n = 20), rheumatoid arthritis (RA) being the most predominant in the group (n = 11); and in healthy Bacillus Calmette-Guérin (BCG) vaccinees (n = 8).

Infection with Possible Novel Parapoxvirus in Horse, Finland, 2013.

A horse in Finland exhibited generalized granulomatous inflammation and severe proliferative dermatitis. After euthanization, we detected poxvirus DNA from a skin lesion sample. The virus sequence grouped with parapoxviruses, closely resembling a novel poxvirus detected in humans in the United States after horse contact.