Tumor Entities Research Articles

Standardizing Nutritional Care for Cancer Patients: Implementation and Evaluation of a Malnutrition Risk Screening

Introduction Cancer-related malnutrition is a highly prevalent, yet often overlooked concern in clinical practice. Although cancer-related management guidelines recommend standardized nutritional care, its implementation is scarce. The aim of this study was to investigate the prevalence of malnutrition and the medical need for nutrition counseling in cancer patients employing a novel standardized nutritional management program (containing malnutrition risk screening, nutritional assessment and counseling). Furthermore, differences of malnutrition parameters in different cancer patient cohorts were examined. Methods Cancer patients were screened for malnutrition using the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) on the first day of their inpatient admission to the internal oncology or hematology wards. PG-SGA total score and classification into the three PG-SGA nutrition stages (A, B, C) were used to determine nutritional status. In case of a positive screening, nutritional assessment and individualized counseling by a nutritionist followed. For group comparisons, patients were divided into different groups (e.g., age, gender, tumor entity) and were evaluated accordingly. Results A total of 1,100 inpatients were included. 56.8 % of the patients had suspected or already existing malnutrition. The most common nutrition impact symptom was loss of appetite (26.7 %), followed by fatigue (16.5 %) and pain (16.0 %). Female (p < 0.001), elderly (p < 0.001) and patients with upper gastrointestinal tract tumors (p < 0.001) showed an unfavorable nutritional status and higher need for counseling. Despite suffering from malnutrition, patients had Body Mass Indices within the upper end of the normal range. Conclusion This study shows a high prevalence of malnutrition in hospitalized cancer patients and highlights the need for a standardized nutritional management in the clinical setting. Therefore, it is recommended to provide a malnutrition risk screening for all cancer patients and a following adequate assessment and personalized nutritional care if needed.

Biphenotypic Sinonasal Sarcoma: Literature Review of a Peculiar Pathological Entity—The Neurosurgical Point of View

Background: Biphenotypic sinonasal sarcoma (BSNS) is a low-grade tumor of the sinonasal tract with frequent extension to the orbit and skull base. Due to its rare incidence and recent histopathological and molecular characterization, little data are available in regard to its natural history, treatment and surveillance protocol. Methods: A comprehensive literature review in Embase online electronic databases on BSNS was made. The analyzed factors included the patients’ sex and age, presenting symptoms and signs, anatomical origin and pattern of growth of the tumor, immunohistochemical and molecular features, time to treatment, type of treatment, surgical approach, extent of resection, peri- and post-operative complications, adjuvant therapies, clinical outcome, recurrence and overall survival rates. Results: This literature review involved 34 studies for an overall series of 149 cases of BSNS. The female (66.9%) and middle-aged populations (median 54.88 years old) were mainly affected. The most frequent clinical onset was nasal obstruction (81%), followed by facial discomfort (44%), epistaxis (15.5%) and ocular impairment (14.3%). Ethmoid sinus (67.8%) and nasal cavity (45.4%) were the most common anatomical site of tumor origin, while an extension to the orbit and skull base was registered in 28.7% and 24.5% of cases. Surgery was the main treatment, especially in the form of endoscopic endonasal approach (56.9%), and allowed for gross total resection in 79% of cases. The recurrence rate was 26.2%; three cases of tumor-related death were reported. Median follow-up was 4.6 years. Conclusions: Biphenotypic sinonasal sarcoma is a rare and unique tumoral entity in terms of biological and clinical behavior. Based on the current knowledge, surgery plays the leading role in treatment, accounting for gross total tumor resection in most cases, allowing for clinical symptom and sign resolution and presenting a low rate of perioperative complications. The type of approach and the aim of surgery should be assessed case by case according to patient and pathology features and the surgeon’s experience, as well as the aim of the treatment. Further studies including large surgical series and with long follow-up are required to define prognostic factors and guidelines of treatment for this peculiar pathological entity.

Unravelling switch/sucrose non-fermentable (SWI-SNF) complex-deficient thoracic tumours: a clinicopathological comparative on undifferentiated tumours and non-small cell lung carcinomas with BRG1 and BRM deficiency

AimsThis study was undertaken to compare and expand the clinicopathological characteristics of SMARCA4-deficient thoracic undifferentiated tumour (SMARCA4-dUT) and switch/sucrose non-fermentable-deficient non-small cell lung carcinomas (SWI/SNF-dNSCLC) and to address cases with...

Double Heterozygous Pathogenic Variants in TP53 and CHEK2 in Boy with Undifferentiated Embryonal Sarcoma of the Liver

Undifferentiated embryonal sarcoma of the liver is a rare mesenchymal malignancy that predominantly occurs in children. The relationship between this tumor entity and germline pathogenic variants (PVs) remains undefined. Here, we present the clinical case of a male patient diagnosed with undifferentiated embryonal sarcoma of the liver. Both germline and tumor samples were analyzed using next-generation sequencing. In the tumor tissue, PVs in TP53 (NM_000546.5):c.532del p.(His178Thrfs*69) and CHEK2 (NM_007194.4):c.85C>T p.(Gln29*) were identified, with both confirmed to be of germline origin. Copy number analyses indicated a loss of the wildtype TP53 allele in the tumor, consistent with a second hit, while it was the variant CHEK2 allele that was lost in the tumor. Our data indicate that the germline TP53 PV acts as a driver of tumorigenesis in the reported case and support a complex interaction between the germline TP53 and CHEK2 PVs. This case highlights the dynamic interplays of genetic alterations in tumorigenesis and emphasizes the need for continued investigation into the complex interactions between TP53 and CHEK2 PVs and into the association of undifferentiated embryonal sarcoma of the liver and Li–Fraumeni syndrome.

Impact of sarcopenia and fat distribution on outcomes in penile cancer

Sarcopenia, defined as age-associated loss of skeletal muscle function and muscle mass, is a negative prognostic marker for survival in several tumor entities. However, data evaluating the impact of sarcopenia and fat distribution on penile cancer are rarely described. We performed a retrospective study including 38 patients who were diagnosed with squamous cell carcinoma of the penis. By measuring skeletal muscle mass and fat distribution at axial abdominal computed tomography images at the third lumbar vertebra several body composition parameters including skeletal muscle index (SMI), psoas muscle index (PMI), visceral obesity and visceral-to-subcutaneous fat ratio were determined. Among 38 patients, 26% (n = 10) of the patients with penile cancer were identified as sarcopenic. SMI, age, lymph node metastases, distant metastases and penile cancer of the shaft were identified as significant risk factors for overall survival. PMI and distant metastases were significantly associated with cancer specific survival. None of the analysed adipose tissue parameters could be identified as risk factors for survival in this study. We showed that sarcopenia occurs in a relevant part of patients with penile cancer and is a significant risk factor for overall survival (p = 0.032) and cancer specific survival (p = 0.034) for patients with penile cancer. Regarding fat distribution further studies are needed to evaluate its impact on sarcopenia and survival.

Unraveling the glycosphingolipid metabolism by leveraging transcriptome-weighted network analysis on neuroblastic tumors

BackgroundGlycosphingolipids (GSLs) are membrane lipids composed of a ceramide backbone linked to a glycan moiety. Ganglioside biosynthesis is a part of the GSL metabolism, which involves sequential reactions catalyzed by specific enzymes that in part have a poor substrate specificity. GSLs are deregulated in cancer, thus playing a role as potential biomarkers for personalized therapy or subtype classification. However, the analysis of GSL profiles is complex and requires dedicated technologies, that are currently not included in the commonly utilized high-throughput assays adopted in contexts such as molecular tumor boards.MethodsIn this study, we developed a method to discriminate the enzyme activity among the four series of the ganglioside metabolism pathway by incorporating transcriptome data and topological information of the metabolic network. We introduced three adjustment options for reaction activity scores (RAS) and demonstrated their application in both exploratory and comparative analyses by applying the method on neuroblastic tumors (NTs), encompassing neuroblastoma (NB), ganglioneuroblastoma (GNB), and ganglioneuroma (GN). Furthermore, we interpreted the results in the context of earlier published GSL measurements in the same tumors.ResultsBy adjusting RAS values using a weighting scheme based on network topology and transition probabilities (TPs), the individual series of ganglioside metabolism can be differentiated, enabling a refined analysis of the GSL profile in NT entities. Notably, the adjustment method we propose reveals the differential engagement of the ganglioside series between NB and GNB. Moreover, MYCN gene expression, a well-known prognostic marker in NTs, appears to correlate with the expression of therapeutically relevant gangliosides, such as GD2. Using unsupervised learning, we identified subclusters within NB based on altered GSL metabolism.ConclusionOur study demonstrates the utility of adjusting RAS values in discriminating ganglioside metabolism subtypes, highlighting the potential for identifying novel cancer subgroups based on sphingolipid profiles. These findings contribute to a better understanding of ganglioside dysregulation in NT and may have implications for stratification and targeted therapeutic strategies in these tumors and other tumor entities with a deregulated GSL metabolism.

CIC/ATXN1-rearranged tumors in the central nervous system are mainly represented by sarcomas: A comprehensive clinicopathological and epigenetic series.

CIC fusions have been described in two different central nervous system (CNS) tumor entities. On one hand, fusions of CIC or ATXN1 genes belonging to the same complex of transcriptional repressors, were reported in the CIC-rearranged, sarcoma (SARC-CIC). The diagnosis of this tumor type, which was recently added to the World Health Organization (WHO) Classification of CNS tumors, is difficult mainly because the data concerning its histopathology (as compared to its soft tissue counterpart), immunoprofile, and clinical as well as radiological characteristics are scarce in the literature. On the other hand, a recent study, based on DNA-methylation profiling, has identified a novel high-grade neuroepithelial tumor characterized by recurrent CIC fusions (HGNET-CIC). The aim of this multicentric study was to characterize a cohort of 15 primary CNS tumors harboring a CIC or ATXN1 fusion in terms of clinical, radiological, histopathological, immunophenotypical, and epigenetic characteristics. According to the integrated diagnoses, 14/15 tumors corresponded to SARC-CIC, and only one to HGNET-CIC. The tumors showed similar clinical (mainly pediatric), radiological (mostly supratentorial, cystic, and contrast enhancing), immunophenotypical (common expression of glioneuronal markers), and genetic (similar spectrum of fusions) profiles but their histopathological appearance was clearly distinct. Moreover, we found a novel fusion transcript (CIC::EWSR1) in a SARC-CIC. Most DNA methylation profiles using the Heidelberg Brain Tumor Classifier (v12.8) annotated the samples to the methylation class "SARC-CIC" (9/14 tumors with available data). By using uniform manifold approximation and projection analysis, four other samples were classified as SARC-CIC and another clustered within the methylation class of HGNET-CIC. Our findings confirm that CNS CIC-fused tumors do not represent a single molecular tumor entity. Further analyses are needed to characterize HGNET-CIC in more detail. These results may help to refine the essential diagnostic criteria for SARC-CIC and their terminology (with a suggested consensual name of sarcoma, CIC/ATXN1-complex rearranged).

Germline variants of homology-directed repair or mismatch repair genes in cervical cancer.

While cervical cancer is associated with a persistent human papillomavirus (HPV) infection, the progression to cancer is influenced by genomic risk factors that have remained largely obscure. Pathogenic variants in genes of the homology-directed repair (HDR) or mismatch repair (MMR) are known to predispose to diverse tumour entities including breast and ovarian cancer (HDR) or colon and endometrial cancer (MMR). We here investigate the spectrum of HDR and MMR germline variants in cervical cancer, with particular focus on the HPV status and histological subgroups. We performed targeted next-generation sequencing for 5 MMR genes and 12 HDR genes on 728 German patients with cervical dysplasia or invasive cancer. In total, 4% of our patients carried a pathogenic germline variant, based on ClinVar classifications and additional ESM1b and AlphaMissense predictions. These included 15 patients with truncating variants in HDR genes (BARD1, BRCA1, BRCA2, BRIP1, FANCM, RAD51D and SLX4). MMR-related gene variants were less prevalent and mainly of the missense type. While MMR-related gene variants tended to associate with adenocarcinomas, HDR gene variants were commonly observed in squamous cancers. While one patient with HPV-negative cancer carried a pathogenic MMR gene variant (in MSH6), the HDR germline variants were found in patients with HPV-positive cancers and tended to associate with HPV18. Taken together, our study supports a potentially risk-modifying role of MMR and HDR germline variants in cervical cancer but no association with HPV-negative status. These variants may be exploitable in future therapeutic managements.

New tumor markers for testicular cancer - in the here and now and in the future

Germ cell tumors of the testis are the most common tumor entities in young men. Since the introduction of platinum-based chemotherapy in the 1970s, most patients can be cured despite the aggressiveness of germ cell tumors. Optimal serum tumor markers are required for diagnostics, therapy monitoring and aftercare, and these are subject to high requirements. The conventional testicular tumor markers human chorionic gonadotropin (hCG), alpha fetoprotein (AFP) and lactate dehydrogenase (LDH) only meet these requirements with insufficient sensitivity (30-70%). The markers investigated in recent decades, such as PLAP, CEA and NSE, have not become established. Currently, miRNA-371 is being researched in particular. Reliable findings are available for initial staging with significantly better specificities of miRNA-371 compared to conventional tumor markers. Further prospective studies are being conducted for other possible clinical applications, such as follow-up care, therapy monitoring or residual tumors, in order to investigate the revolutionary potential of miRNA-371 in these areas as well. Research is also currently being conducted on circulating tumor cells (CTCs) and cell-free DNA (cfNA) in various areas of application. With regard to germ cell tumors of the testis, however, these analyses are still in their infancy, but it is hoped that this will provide a further sufficient opportunity to use serum tumor markers.

Identifying central dimensions of quality of life including life-related values, preferences and functional health in older patients with cancer: a scoping review protocol.

Older patients with cancer already represent the largest proportion of cancer survivors which will further increase in the upcoming years. However, older patients are highly underrepresented in clinical research, leading to a detrimental knowledge gap. Research on important aspects of quality of life (QoL) and associated factors for older patients with cancer is insufficient to date. The objective of this scoping review therefore is to investigate the dimensions of QoL including functional health, life-relevant values and preferences in older adults with cancer across all tumor entities and health care settings. It will further identify medical, sociodemographic, psychosocial and geriatric aspects associated with QoL in the elderly and compare these with younger cancer patients and older non-cancer cases. Published articles investigating QoL dimensions and associated factors in older patients with cancer, i.e., exclusively patients ≥65 years or mean/median age ≥ 70 years for age-mixed samples, or that compare results of older with younger cancer patients or with older non-cancer cases will be considered for this scoping review. Older patients with cancer across all tumor entities, disease stages and health care setting will be included. PubMed and PsychINFO databases will be searched for relevant articles. Abstracts and titles will be screened for basic inclusion, and two independent reviewers will conduct a full text screening to evaluate the age criteria and decide on the final inclusion of the study. Data on study and participant characteristics, QoL dimensions and geriatric factors will be extracted using a data extraction sheet. Results will be summarized descriptively to address the objectives of this review. The findings of this scoping review will provide valuable insights into central dimensions of QoL, including values, preferences and functional health in older adults with cancer, and help to improve targeted interventions and healthcare planning.

Esophageal cancer: new developments in prevention and therapy

Esophageal carcinomas comprise 2 entities, squamous cell carcinoma and adenocarcinoma, which differ in pathogenesis and treatment. Elimination of inflammatory influences and risk factors, such as obesity and gastroesophageal reflux that contribute to a rising incidence of adenocarcinoma, is crucial for tumor prevention. In Germany, general endoscopic screening for upper GI tumors is not recommended, whereas endoscopic surveillance is applied in the presence of Barrett's metaplasia. In the future, better prediction models will be needed to identify patients at risk who will benefit from endoscopic surveillance. Precancerous lesions and early tumor stages can be removed endoscopically using modern resection methods. In recent years, therapeutic strategies for advanced esophageal tumors have undergone significant changes. In the multimodal treatment of locally advanced stages, radiochemotherapy remains to play a key role for squamous cell carcinoma, whereas new evidence highlights the importance of perioperative chemotherapy for the optimal management of adenocarcinoma. Systemic treatment options for both tumor entities have been significantly expanded due to the successful use of immune checkpoint inhibitors in adjuvant and palliative treatment regimen. Determination of PD-L1 and MSI status has therefore become decisive for the choice of therapy. In metastatic stages of adenocarcinoma, chemotherapy can now be supplemented by multiple antibodies directed against Her2, PD1, or claudin 18.2, and the antibody-drug conjugate trastuzumab deruxtecan has become a Her2-targeted option in second line treatment.

Human mesenchymal stroma/stem-like cell-derived taxol-loaded EVs/exosomes transfer anti-tumor microRNA signatures and express enhanced SDF-1-mediated tumor tropism

BackgroundThe release of extracellular vesicles (EVs) including exosomes from human mesenchymal stroma/stem-like cells (MSC) represents valuable cell-free carriers for the delivery of regenerative and medicinal compounds.MethodsEVs/exosomes were isolated by differential centrifugation from four individual MSC as controls and after treatment with a sub-lethal concentration of 10 mM taxol for 24 h, respectively. The isolated EVs/exosomes were characterized and quantified by nano-tracking-analysis and by Western blots. MicroRNAs (miRs) were isolated from the different EVs/exosome populations and expression levels were quantified by qPCR using 1246 miR templates. Cytotoxic effects of the different MSC-derived taxol-loaded EVs/exosomes were determined in five different GFP-transduced cancer cell lines and quantified by a fluoroscan assay with a GFP-detecting fluorimeter. The presence of stroma cell-derived factor 1 (SDF-1) in MSC-derived EVs/exosomes and its enhanced expression in the vesicles after taxol treatment of MSC was quantified by a specific ELISA.ResultsEVs/exosomes isolated from four individual taxol-treated MSC displayed a larger size and higher yields as the control EVs/exosomes and were used as anti-tumor therapeutic vehicles. Application of each of the four MSC-derived taxol-loaded EVs/exosome populations revealed significant cytotoxic effects in cell lines of five different tumor entities (carcinomas of lung, breast, ovar, colon, astrocytoma) in a concentration-dependent manner. Expression analysis of 1246 miRs in these taxol-loaded EVs/exosomes as compared to the corresponding MSC-derived control EVs/exosomes unraveled a taxol-mediated up-regulation of 11 miRs with predominantly anti-tumorigenic properties. Moreover, various constitutively expressed protein levels were unanimously altered in the MSC cultures. Taxol treatment of the different MSC revealed an up-regulation of tetraspanins and a 2.2-fold to 5.4-fold increased expression of SDF-1 among others. Treatment of cancer cells with MSC-derived taxol-loaded EVs/exosomes in the presence of a neutralizing SDF-1 antibody significantly abolished the cytotoxic effects between 20.3% and 27%.ConclusionsThese findings suggested a taxol-mediated increase of anti-cancer properties in MSC that enhance the tropism of derived EVs/exosomes to tumors, thereby specifically focusing the therapeutic effects of the delivered products.

Follow-up analysis of lesion characteristics of enchondromas and atypical cartilaginous tumours of the knee and shoulder region on MRI.

Enchondromas (ECs) and atypical cartilaginous tumours (ACTs), respectively, represent benign and intermediate cartilaginous bone tumours. Differentiation between these tumour entities bears difficulties, as histology and MRI cannot always provide exact diagnoses. Observation of the natural course of ECs/ACTs via follow-up MRIs might support tumour distinction without needing biopsy harbouring sampling error. Reports of patients that had undergone MRI exams of the knee (n = 44.762) or shoulder (n = 21.550) at a single radiology institute between 01.01.2007 and 01.03.2020 were searched for ECs/ACTs with at least one follow-up MRI. Scans of 176 patients (with 182 cartilage lesions) fulfilling these criteria were subsequently re-examined together with corresponding MRI reports to evaluate morphological tumour development over time, focusing on potential alterations of lesion size, tumour-related oedema, and scalloping. Median follow-up time was 27 ± 53 months for knee tumours and 26 ± 32 months for shoulder lesions. Presence of tumour growth was significantly higher in ACTs than in ECs both at the knee (p = 0.04) and shoulder (p = 0.03). While ACTs were associated with median tumour growth rates of 0.039 mm/month (knee) and 0.083 mm/month (shoulder), ECs of the knee and shoulder showed lower median growth rates equivalent to 0.0 mm/month (p < 0.01, p < 0.01). ECs and ACTs both presented stable regarding tumour-related oedema and scalloping during follow-up. ACTs and ECs show different tumour growth rates. Growth rates are slow for both, ECs and ACTs, supporting the current concept of watchful waiting. ECs may decrease in size. Follow-up MRIs may support the radiological differentiation of cartilage lesions. Question Both singular MRI and histological examination have limitations regarding differentiation of enchondromas (EC) and atypical cartilaginous tumours (ACTs). Findings Median ACT growth rates were 0.039 mm/month (knee) and 0.083 mm/month (shoulder), while median growth rates of EC in the knee and shoulder were 0.0 mm/month. Clinical relevance Active surveillance is a safe strategy when dealing with ECs and ACTs of the long bones; follow-up MRIs may support tumour distinction of cartilage lesions, as ECs and ACTs show different growth behaviour.

Innovation in cancer pharmacotherapy through integrative consideration of germline and tumor genomes.

Precision cancer medicine is widely established, and numerous molecularly targeted drugs for various tumor entities are approved or in development. Personalized pharmacotherapy in oncology has so far been based primarily on tumor characteristics, e.g., somatic mutations. However, the response to drug treatment also depends on pharmacological processes summarized under the term ADME (absorption, distribution, metabolism, and excretion). Variations in ADME genes have been the subject of intensive research for more than five decades, considering individual patients' genetic makeup, referred to as pharmacogenomics (PGx). The combined impact of a patient's tumor and germline genome is only partially understood and often not adequately considered in cancer therapy. This may be attributed, in part, to the lack of methods for combined analysis of both data layers. Optimized personalized cancer therapies should, therefore, aim to integrate molecular information about the tumor and the germline, taking into account existing PGx guidelines for drug therapy. Moreover, such strategies should provide the opportunity to consider genetic variants of previously unknown functional significance. Bioinformatic analysis methods and corresponding algorithms for data interpretation need to be developed to consider PGx data in interdisciplinary molecular tumor boards, where cancer patients are discussed to provide evidence-based recommendations for clinical management based on individual tumor profiles. Significance Statement The era of personalized oncology has seen the emergence of drugs tailored to genetic variants associated with cancer biology. However, full potential of targeted therapy remains untapped due to the predominant focus on acquired tumor-specific alterations. Optimized cancer care must integrate tumor and patient genomes, guided by pharmacogenomic principles. An essential prerequisite for realizing truly personalized drug treatment of cancer patients is the development of bioinformatic tools for comprehensive analysis of all data layers generated in modern precision oncology programs.

Chronic hearing loss turns out being a calcified chondroid mesenchymal neoplasm with FN1::FGFR2 fusion.

A 53 year old female presented with a six-year history of right-sided slow deterioration in hearing and a feeling of pressure in the right ear. The patient had not experienced any pain but reported some paresthesia of the right half of the tongue, whereas no further other cranial nerve deficits were evident. The otoscopy was unremarkable as well as the rest of the clinical ENT examination except for a slight asymptomatic swelling of the right cheek. Imaging findings showed an expansive tumor infiltrating and destroying the right lateral skull base. The tumor was partially composed of cystic/regressive lesions with high contrast media uptake. The tumor had high-signal intensity with water-sensitive sequences (T2w) and was hypointense on T1w images. We performed a tumor resection via a transparotideal-infratemporal approach. Histologically, the tumor was composed of granular variably calcified chondroid matrix with extensive regressive changes and granulation-like tissue reaction associated with calcinosis and crystal deposition. Molecular analysis of the tumor via the TruSight- RNA-Fusion panel detected a fusion involving FN1::FGFR2, consistent with "calcified chondroid mesenchymal neoplasm" (CCMN), a rare tumor entity recently defined by Liu et al 2021. In regular follow-up care no residual tumor has been detected in imaging studies (MRI and CT) within 2 years and 4 months. The biology and consequently the radio sensitivity cannot be defined precisely since long term results are missing due to the first description of this entity in 2021. As a consequence, surgical resection is recommended as the treatment of choice. Thorough clinical and radiological follow-up is mandatory as local recurrences are to be expected due to the infiltrative behavior. In case of a loco regional recurrence the fusion with FGFR2 may represent a therapeutic option for a targeted therapy on molecular level.

Astroblastoma: A molecularly defined entity, its clinico-radiological & pathological analysis of eight cases and review of literature

Astroblastoma, a unique entity of glial tumor, predominantly occur in young women with distinctive MN1 rearrangement, Given its limited documentation in existing literature, we report eight cases of astroblastoma, detailing their clinical, radiological, and histopathological characteristics along with molecular analysis. We conducted a retrospective analysis of our neuropathology archive database spanning the past 8 years. We included all cases that underwent Magnetic Resonance Imaging (MRI), surgical resection, histopathological examination, molecular testing, and follow-up. Histopathological examination involving immunohistochemistry and Fluorescence In Situ Hybridization (FISH) was carried out for all cases. All tumors were found to be located in the supratentorial region (cerebral hemisphere). The median age of the group was 35.1 years, with a female-to-male ratio of 1.6:1. The most common clinical presentation was headache. Morphologically, all tumors exhibited astroblastic features with pseudorosettes and perivascular hyalinization. Immunohistochemistry consistently revealed positivity for EMA and variable immunoreactivity for GFAP, OLIG2, and D2–40. Fluorescence In Situ Hybridization (FISH) analysis conducted for all cases showed MN1 rearrangement in 7 cases. The mean follow-up period was 45 months (ranging from 12 to 105 months). Radiotherapy was administered for high-grade and recurrent astroblastomas. All patients are currently alive and in good health.Astroblastomas are uncommon central nervous system (CNS) tumors with characteristics morphology and molecular signatures. They typically carry a favorable prognosis. High level suspicion is required for their diagnosis and molecular analysis is must to distinguish them from other morphological mimics.

Targeting PARP-1 and DNA Damage Response Defects in Colorectal Cancer Chemotherapy with Established and Novel PARP Inhibitors.

The DNA repair protein PARP-1 emerged as a valuable target in the treatment of tumor entities with deficiencies of BRCA1/2, such as breast cancer. More recently, the application of PARP inhibitors (PARPi) such as olaparib has been expanded to other cancer entities including colorectal cancer (CRC). We previously demonstrated that PARP-1 is overexpressed in human CRC and promotes CRC progression in a mouse model. However, acquired resistance to PARPi and cytotoxicity-mediated adverse effects limit their clinical applicability. Here, we detailed the role of PARP-1 as a therapeutic target in CRC and studied the efficacy of novel PARPi compounds in wildtype (WT) and DNA repair-deficient CRC cell lines together with the chemotherapeutics irinotecan (IT), 5-fluorouracil (5-FU), and oxaliplatin (OXA). Based on the ComPlat molecule archive, we identified novel PARPi candidates by molecular docking experiments in silico, which were then confirmed by in vitro PARP activity measurements. Two promising candidates (X17613 and X17618) also showed potent PARP-1 inhibition in a CRC cell-based assay. In contrast to olaparib, the PARPi candidates caused no PARP-1 trapping and, consistently, were not or only weakly cytotoxic in WT CRC cells and their BRCA2- or ATR-deficient counterparts. Importantly, both PARPi candidates did not affect the viability of nonmalignant human colonic epithelial cells. While both olaparib and veliparib increased the sensitivity of WT CRC cells towards IT, no synergism was observed for X17613 and X17618. Finally, we provided evidence that all PARPi (olaparib > veliparib > X17613 > X17618) synergize with chemotherapeutic drugs (IT > OXA) in a BRCA2-dependent manner in CRC cells, whereas ATR deficiency had only a minor impact. Collectively, our study identified novel lead structures with potent PARP-1 inhibitory activity in CRC cells but low cytotoxicity due to the lack of PARP-1 trapping, which synergized with IT in homologous recombination deficiency.

TTF-1 is a highly sensitive but not fully specific marker for pulmonary and thyroidal cancer: a tissue microarray study evaluating more than 17,000 tumors from 152 different tumor entities.

Thyroid transcription factor 1 (TTF-1) immunohistochemistry (IHC) is routinely used for the distinction of primary pulmonary adenocarcinomas. However, TTF-1 can also occur in other malignancies. A tissue microarray containing 17,772 samples from 152 different tumor types was analyzed. Napsin-A, CK20, SATB2, FABP1, and Villin-1 IHC data were available from previous studies. TTF-1 staining was seen in 82 of 152 tumor categories including thyroidal cancers (19-100%), adenocarcinomas (94%), neuroendocrine tumors (67%) of the lung, small cell neuroendocrine carcinomas (71-80%), mesenchymal tumors (up to 42%), and thymomas (39%). Comparative analysis of TTF-1 and Napsin-A revealed a sensitivity/specificity of 94%/86% (TTF-1), 87%/98% (Napsin-A), and 85%/99.1% (TTF-1 and Napsin-A) for the distinction of pulmonary adenocarcinomas. Combined analysis of TTF-1 and enteric markers revealed a positivity for TTF-1 and at least one enteric marker in 22% of pulmonary adenocarcinomas but also a TTF-1 positivity in 6% of colorectal, 2% of pancreatic, and 3% of gastric adenocarcinomas. TTF-1 is a marker of high sensitivity but insufficient specificity for pulmonary adenocarcinomas. A small fraction of TTF-1-positive gastrointestinal adenocarcinomas represents a pitfall mimicking enteric-type pulmonary adenocarcinoma. Combined analysis of TTF-1 and Napsin-A improves the specificity of pulmonary adenocarcinoma diagnosis.

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.

Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HRD testing is highly complex. Here, we investigated in a proof-of-concept study whether Deep Learning (DL) can predict HRD status solely based on routine hematoxylin & eosin (H&E) histology images across nine different cancer types. We developed a deep learning pipeline with attention-weighted multiple instance learning (attMIL) to predict HRD status from histology images. As part of our approach, we calculated a genomic scar HRD score by combining loss of heterozygosity (LOH), telomeric allelic imbalance (TAI), and large-scale state transitions (LST) from whole genome sequencing (WGS) data of n = 5209 patients across two independent cohorts. The model's effectiveness was evaluated using the area under the receiver operating characteristic curve (AUROC), focusing on its accuracy in predicting genomic HRD against a clinically recognized cutoff value. Our study demonstrated the predictability of genomic HRD status in endometrial, pancreatic, and lung cancers reaching cross-validated AUROCs of 0.79, 0.58, and 0.66, respectively. These predictions generalized well to an external cohort, with AUROCs of 0.93, 0.81, and 0.73. Moreover, a breast cancer-trained image-based HRD classifier yielded an AUROC of 0.78 in the internal validation cohort and was able to predict HRD in endometrial, prostate, and pancreatic cancer with AUROCs of 0.87, 0.84, and 0.67, indicating that a shared HRD-like phenotype occurs across these tumor entities. This study establishes that HRD can be directly predicted from H&E slides using attMIL, demonstrating its applicability across nine different tumor types.

Comparison of diagnostic accuracy of radiomics parameter maps and standard reconstruction for the detection of liver lesions in computed tomography.

The liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) is the most frequently employed modality for initial diagnosis. However, liver metastases may only be delineated vaguely on CT. Calculating radiomics features in feature maps can unravel textures not visible to the human eye on a standard CT reconstruction (SCTR). This study aimed to investigate the comparative diagnostic accuracy of radiomics feature maps and SCTR for liver metastases. Forty-seven patients with hepatic metastatic colorectal cancer were retrospectively enrolled. Whole-liver maps of original radiomics features were generated. A representative feature was selected for each feature class based on the visualization of example lesions from five patients. These maps and the conventional CT image data were viewed and evaluated by four readers in terms of liver parenchyma, number of lesions, visual contrast of lesions and diagnostic confidence. T-tests and chi²-tests were performed with a significance cut off of p<0.05 to compare the feature maps with SCRT, and the data were visualized as boxplots. Regarding the number of lesions detected, SCTR showed superior performance compared to radiomics maps. However, the feature map for firstorder RootMeanSquared was ranked superior in terms of very high visual contrast in 57.4% of cases, compared to 41.0% in standard reconstructions (p < 0.001). All other radiomics maps ranked significantly lower in visual contrast when compared to SCTR. For diagnostic confidence, firstorder RootMeanSquared reached very high ratings in 47.9% of cases, compared to 62.8% for SCTR (p < 0.001). The conventional CT images showed superior results in all categories for the other features investigated. The application of firstorder RootMeanSquared feature maps may help visualize faintly demarcated liver lesions by increasing visual contrast. However, reading of SCTR remains necessary for diagnostic confidence.