Impact of Primary Tumor Location on Demographics, Resectability, Outcomes, and Quality of Life in Finnish Metastatic Colorectal Cancer Patients (Subgroup Analysis of the RAXO Study).

The primary tumor location (PTL) is associated with the phenotype, metastatic sites, mutations, and outcomes of metastatic colorectal cancer (mCRC) patients, but this has mostly been studied according to sidedness (right vs. left sided). We studied right colon vs.

Atypical (non-V600E) BRAF mutations in metastatic colorectal cancer in population and real-world cohorts.

BRAF-V600E mutation (mt) is a strong negative prognostic and predictive biomarker in metastatic colorectal cancer (mCRC). Non-V600Emt, designated atypical BRAFmt (aBRAFmt) are rare, and little is known about their frequency, co-mutations and prognostic and predictive role. These were compared between mutational groups of mCRC patients collected from three Nordic population-based or real-world cohorts.

Resectability, Resections, Survival Outcomes, and Quality of Life in Older Adult Patients with Metastatic Colorectal Cancer (the RAXO-Study).

Older adults are underrepresented in metastatic colorectal cancer (mCRC) studies and thus may not receive optimal treatment, especially not metastasectomies. The prospective Finnish real-life RAXO-study included 1086 any organ mCRC patients. We assessed repeated centralized resectability, overall survival (OS), and quality of life (QoL) using 15D and EORTC QLQ-C30/CR29.

Single Center Experience with a 4-Week Lu-PSMA-617 Treatment Interval in Patients with Metastatic Castration-Resistant Prostate Cancer.

Background: 177Lu-PSMA-617 is a promising theragnostic treatment for metastatic castration-resistant prostate cancer (mCRPC). However, both the optimal treatment dose and interval in mCRPC and the rate of identification of responders from non-responders among possible treatment candidates are unknown. Methods: 62 men with mCRPC who were treated with 177Lu-PSMA-617 during 1/2017−2/2019 were included in the study.

Resectability, conversion, metastasectomy and outcome according to RAS and BRAF status for metastatic colorectal cancer in the prospective RAXO study.

Background: Outcomes after metastasectomy for metastatic colorectal cancer (mCRC) vary with RAS and BRAF mutational status, but their effects on resectability and conversion rates have not been extensively studied.

Methods: This substudy of the prospective RAXO trial included 906 patients recruited between 2011 and 2018. We evaluated repeated centralised resectability assessment, conversion/resection rates and overall survival (OS), according to RAS and BRAF status.

Health-Related Quality of Life in Metastatic Colorectal Cancer Patients Treated with Curative Resection and/or Local Ablative Therapy or Systemic Therapy in the Finnish RAXO-Study.

Metastasectomy and/or local ablative therapy in metastatic colorectal cancer (mCRC) patients often provide long-term survival. Health-related quality of life (HRQoL) data in curatively treated mCRC are limited. In the RAXO-study that evaluated repeated resectability, a multi-cross-sectional HRQoL substudy with 15D, EQ-5D-3L, QLQ-C30, and QLQ-CR29 questionnaires was conducted.

Drug Screening Informed Targeted Therapy for Metastatic Parotid Squamous Cell Carcinoma.

The purpose of drug screening in the context of precision oncology is to serve as a functional diagnostic method for therapy efficacy modeling directly on patient-derived tumor cells. Here, we report a case study using integrated multiomics drug screening approach to assess therapy efficacy in a rare metastatic squamous cell carcinoma of the parotid gland. Tumor cells isolated from lymph node metastasis and distal subcutaneous metastasis were used for imaging-based single-cell resolution drug screening and reverse-phase protein array-based drug screening assays to inform the treatment strategy after standard therapeutic options had been exhausted.

Repeated centralized multidisciplinary team assessment of resectability, clinical behavior, and outcomes in 1086 Finnish metastatic colorectal cancer patients (RAXO): A nationwide prospective intervention study.

Background: Resection of colorectal cancer (CRC) metastases provides good survival but is probably underused in real-world practice.

Methods: A prospective Finnish nationwide study enrolled treatable metastatic CRC patients. The intervention was the assessment of resectability upfront and twice during first-line therapy by the multidisciplinary team (MDT) at Helsinki tertiary referral centre.

analysis of DNA repair targeting in extreme rare cutaneous apocrine sweat gland carcinoma.

Cutaneous apocrine carcinoma is an extreme rare malignancy derived from a sweat gland. Histologically sweat gland cancers resemble metastatic mammary apocrine carcinomas, but the genetic landscape remains poorly understood. Here, we report a rare metastatic case with a aberration identified previously as a familial susceptibility gene for breast cancer in the Finnish population.

A Deep Learning-Based Automated CT Segmentation of Prostate Cancer Anatomy for Radiation Therapy Planning-A Retrospective Multicenter Study.

A commercial deep learning (DL)-based automated segmentation tool (AST) for computed tomography (CT) is evaluated for accuracy and efficiency gain within prostate cancer patients. Thirty patients from six clinics were reviewed with manual- (MC), automated- (AC) and automated and edited (AEC) contouring methods. In the AEC group, created contours (prostate, seminal vesicles, bladder, rectum, femoral heads and penile bulb) were edited, whereas the MC group included empty datasets for MC.

Ex vivo assessment of targeted therapies in a rare metastatic epithelial-myoepithelial carcinoma.

Epithelial-myoepithelial carcinoma (EMC) is a rare subtype of salivary gland neoplasms. Since the initial description of the cancer, just over 300 cases have been reported. EMCs occupy a biphasic cellular differentiation-state defined by the constitution of two cell types representing epithelial and myoepithelial lineages, yet the functional consequence of the differentiation-state heterogeneity with respect to therapy resistance of the tumors remains unclear.

Ex vivo modelling of drug efficacy in a rare metastatic urachal carcinoma.

Background: Ex vivo drug screening refers to the out-of-body assessment of drug efficacy in patient derived vital tumor cells. The purpose of these methods is to enable functional testing of patient specific efficacy of anti-cancer therapeutics and personalized treatment strategies. Such approaches could prove powerful especially in context of rare cancers for which demonstration of novel therapies is difficult due to the low numbers of patients.

Image-based ex vivo drug screen to assess targeted therapies in recurrent thymoma.

Objectives: Thymoma is a rare malignancy derived from the thymic epithelial cells. No standard salvage treatments are available for recurrent thymoma and due to the low number of cases, alternative treatment regimens have been assessed only in small case series with varying success. The aim of this study was to use an image-based ex vivo drug screening strategy to assess efficacy of a large panel of anti-cancer agents for thymoma using patient derived tumor cells.

Clonal Evolution of MEK/MAPK Pathway Activating Mutations in a Metastatic Colorectal Cancer Case.

Background/aim: The aim of this study was to examine clonal heterogeneity, to test the utility of liquid biopsy in monitoring disease progression and to evaluate the usefulness of ex vivo drug screening in a BRAF L597Q-mutated colorectal cancer (CRC) patient developing metastases during adjuvant therapy.

Materials And Methods: Next generation sequencing (NGS) and droplet digital PCR (ddPCR) were performed in samples from tumor tissues and liquid biopsies. Live cancer cells from a metastatic lesion were used in ex vivo drug sensitivity assays.

[Molecular pathologic diagnosis of lung cancer requires basic knowledge also from clinicians].

Besides histological classification of lung cancers, molecular biological examination of tumors is part of modern diagnostics of lung cancers, and cancer therapies are based on molecular biological diagnosis. Current laboratory technique enables the examination of many mutations as part of standard routine diagnosis, necessitating functional multidisciplinary collaboration, with the pathologist playing a central role in the handling of the specimens. In the future, especially pathologists, pulmonary specialists and oncologists are expected to need a good command of molecular biological data on lung cancer, but basic knowledge will be required also from other physicians working with lung cancer patients.

[Circulating cell-free DNA as biomarker for cancer *header*].

The rapid accumulation of mutations in cancers and the resulting clonal heterogeneity frequently lead to generation of drug-resistant populations of cancer cells. Examinations requiring a tissue biopsy are invasive, making real-time monitoring of the disease difficult. One alternative to support tissue-based testing is fluid biopsy.

The correlation between cellular size and protein expression levels--normalization for global protein profiling.

An automated image analysis system was used for protein quantification of 1862 human proteins in 47 cancer cell lines and 12 clinical cell samples using cell microarrays and immunohistochemistry. The analysis suggests that most proteins are expressed in a cell size dependent manner, and that normalization is required for comparative protein quantification in order to correct for the inherent bias of cell size and systematic ambiguities associated with immunohistochemistry. Two reference standards were evaluated, and normalized protein expression values were found to allow for protein profiling across a panel of morphologically diverse cells, revealing putative patterns of over- and underexpression.

A high-throughput strategy for protein profiling in cell microarrays using automated image analysis.

Advances in antibody production render a growing supply of affinity reagents for immunohistochemistry (IHC), and tissue microarray (TMA) technologies facilitate simultaneous analysis of protein expression in a multitude of tissues. However, collecting validated IHC data remains a bottleneck problem, as the standard method is manual microscopical analysis. Here we present a high-throughput strategy combining IHC on a recently developed cell microarray with a novel, automated image-analysis application (TMAx).

Frequent high-level expression of the immunotherapeutic target Ep-CAM in colon, stomach, prostate and lung cancers.

Epithelial cell adhesion molecule (Ep-CAM; CD326) is used as a target by many immunotherapeutic approaches, but little data are available about Ep-CAM expression in major human malignancies with respect to level, frequency, tumour stage, grade, histologic tumour type and impact on survival. We analysed by immunohistochemical staining tissue microarrays with 4046 primary human carcinoma samples from colon, stomach, prostate and lung cancers for both frequency and intensity of Ep-CAM expression under highly standardised conditions. A total of 3360 samples were analysable.

Prevalence of KIT expression in human tumors.

Purpose: KIT is a target for imatinib mesylate (Gleevec; Novartis Pharma, Basel, Switzerland). Gastrointestinal stromal tumors (GISTs) express KIT and respond favorably to imatinib therapy. To determine other tumors in which such a molecular targeted therapy might be indicated, we investigated KIT expression in different human tumor types.

[Analysis of gene expression profiles among 3 epithelial ovarian tumor subtypes using cDNA and tissue microarrays].

Background & Objective: Ovarian cancer is the leading cause of death among the gynecological malignancy mainly due to lacking of effective early diagnostic methods. To identify novel candidate genes and further explore their clinical significance of epithelial ovarian tumors, we developed a new method in our laboratory by combining cDNA microarray with RNA in situ hybridization in frozen tissue microarray.

Methods: cDNA microarrays were used to seek differentially expressed genes among 3 subtypes of ovarian tumors (serous borderline ovarian tumors, serous ovarian cancers, and endometrioid ovarian carcinomas).