Oligometastatic Esophagogastric Cancer: Does It Exist and How Do We Treat It?

Purpose Of The Review: This narrative review aims to provide an overview of recently completed randomized trials and expert consensus recommendations, and their implications for clinical practice and future trial design in patients with de-novo esophagogastric oligometastatic disease (OMD).

Recent Findings: The IKF-575/RENAISSANCE phase III trial showed no significant overall survival difference between systemic therapy alone and systemic therapy combined with local therapy for patients with gastric or gastroesophageal junction cancer and de-novo OMD, except for patients with retroperitoneal lymph node metastases only. The ESO-Shanghai 13 phase II trial demonstrated superiority of adding local therapy to systemic therapy for progression-free and overall survival in oligometastatic esophageal squamous cell carcinoma.

Prevalence and determinants of metabolic syndrome in 2338 childhood cancer survivors: A Dutch Childhood Cancer Survivor LATER 2 study.

Background: Because the occurrence of metabolic syndrome (MetS) might contribute to childhood cancer survivor's excess risk of cardiovascular disease, the authors assessed the prevalence and determinants of MetS in the Dutch Childhood Cancer Survivor Study (DCCSS-LATER2) cohort.

Methods: In total, 2338 adult childhood cancer survivors (CCS) were cross-sectionally assessed for the prevalence of MetS, using the Lifelines cohort (N = 132,226 adults without a history of cancer) as references. The prevalence of MetS was clinically assessed using existing classifications, as well as an alternative method using dual-energy x-ray absorptiometry fat% instead of waist circumference to define abdominal adiposity.

Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma.

Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index.

Enterocyte-like differentiation defines metabolic gene signatures of CMS3 colorectal cancers and provides therapeutic vulnerability.

Colorectal cancer (CRC) is stratified into four consensus molecular subtypes (CMS1-4). CMS3 represents the metabolic subtype, but its wiring remains largely undefined. To identify the underlying tumorigenesis of CMS3, organoids derived from 16 genetically engineered mouse models are analyzed.

Longevity of antibody responses is associated with distinct antigen-specific B cell subsets early after infection.

Introduction: Upon infection, T cell-driven B cell responses in GC reactions induce memory B cells and antibody-secreting cells that secrete protective antibodies. How formation of specifically long-lived plasma cells is regulated via the interplay between specific B and CD4+ T cells is not well understood. Generally, antibody levels decline over time after clearance of the primary infection.

Incidence and Outcomes of Patients With Mismatch Repair Deficient Rectal Cancer Operated in 2016: A Nationwide Cohort From The Netherlands.

Introduction: Data regarding the incidence and outcomes of mismatch repair deficient (dMMR) rectal cancer is limited. This study characterizes dMMR rectal cancer patients, comparing response after neoadjuvant radiotherapy and oncological outcomes to mismatch repair proficient (pMMR) rectal cancer patients.

Method: A retrospective cross-sectional cohort study was conducted in 67 Dutch centers.

Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

Talking Cancer-Cancer Talking: A Linguistic and Thematic Analysis of Patient Narratives.

To explore "the lived experience" of patients with cancer through narratives, in-depth interviews with 20 patients were conducted in the patients' homes-"at the kitchen table." Interviews were audio-recorded, transcribed, and analyzed following the Linguistic Inquiry and Word Count (LIWC) methodology. Thematic Analysis was used to explore themes in the narratives.

EAES rapid guideline: surgical management of complicated diverticulitis - with ESCP participation.

Background: The surgical management of complicated diverticulitis varies across Europe. EAES members prioritized this topic to be addressed by a clinical practice guideline through an online questionnaire.

Objective: To develop evidence-informed clinical practice recommendations for key stakeholders involved in the treatment of complicated diverticulitis; to improve operative and perioperative outcomes, patient experience and quality of life through a systematic evidence-to-decision approach by a diverse, multidisciplinary panel.

Surgical management of complicated diverticulitis: systematic review and individual patient data network meta-analysis : An EAES/ESCP collaborative project.

Background: We performed a systematic review and network meta-analysis (NMA) of individualized patient data (IPD) to inform the development of evidence-informed clinical practice recommendations.

Methods: We searched MEDLINE, Embase, and Cochrane Central in October 2023 to identify RCTs comparing Hartmann's resection (HR), primary resection and anastomosis (PRA), or laparoscopic peritoneal lavage (LPL) among patients with class Ib-IV Hinchey diverticulitis. Outcomes of interest were prioritized by an international, multidisciplinary panel including two patient partners.

Organoids, tissue slices and organotypic cultures: Advancing our understanding of pancreatic ductal adenocarcinoma through in vitro and ex vivo models.

Pancreatic ductal adenocarcinoma (PDAC) has one of the worst prognoses of all common solid cancers. For the large majority of PDAC patients, only systemic therapies with very limited efficacy are indicated. In addition, immunotherapies have not brought the advances seen in other cancer types.

Tumor gene expression is associated with venous thromboembolism in patients with ductal pancreatic adenocarcinoma.

Introduction: In patients with pancreatic cancer, the risk of venous thromboembolism (VTE) is high compared to other cancer types, suggesting that tumor-intrinsic features drive hypercoagulability. Tumor gene expression analysis may help unravel the pathogenesis of VTE in these patients and help to identify high-risk patients.

Aim: To evaluate the association between tumor gene expression patterns and VTE in patients with pancreatic cancer.

Fertility-Related Concerns in Long-Term Survivors of Childhood Cancer: A Canadian Cohort Study.

Survivors of childhood cancer face reduced fertility, which can be a significant cause for concern. Our study aimed to assess the prevalence of fertility-related concerns and identify associated factors. Self-report data were collected with the Long-Term Survivor Questionnaire at the Alberta Children's Hospital's Long-Term Survivor Clinic (LTSC) between January 2021 and September 2023.

Comparison of HiDAC Versus FLAG-IDA in the Treatment of Relapsed Acute Myeloid Leukemia and High-Risk Myelodysplastic Syndrome.

Background: Relapsed acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (HR-MDS) are associated with a poor prognosis. It is unknown which re-induction therapy provides the highest chance of durable remission. Commonly used therapies are high dose cytarabine (HiDAC) and triple therapy consisting of fludarabine, cytarabine, and idarubicin combined with granulocyte colony-stimulating factor (FLAG-IDA).

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

Importance: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.

Objective: To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.

TGF-β regulates the release of breast cancer cell-derived extracellular vesicles and the sorting of their protein cargo by downregulating RAB27B expression.

Extracellular vesicles (EVs) are important mediators of intercellular communication in the tumour microenvironment. The cytokine transforming growth factor-β (TGF-β) facilitates cancer progression via EVs secreted by cancer cells, which act on recipient cells in the tumour microenvironment. However, the mechanisms of how TGF-β affects cancer cell EV release and composition are incompletely understood.

NGF-mediated crosstalk: unraveling the influence of metabolic deregulation on the interplay between neural and pancreatic cancer cells and its impact on patient outcomes.

Neural invasion is one of the most common routes of invasion in pancreatic cancer and it is responsible for the high rate of tumor recurrence after surgery and the pain generation associated with pancreatic cancer. Several molecules implicated in neural invasion are also responsible for pain onset including NGF belonging to the family of neutrophins. NGF released by cancer cells can sensitize sensory nerves which in turn results in severe pain.

NanoCMSer: a consensus molecular subtype stratification tool for fresh-frozen and paraffin-embedded colorectal cancer samples.

Colorectal cancer (CRC) is a significant contributor to cancer-related mortality, emphasizing the need for advanced biomarkers to guide treatment. As part of an international consortium, we previously categorized CRCs into four consensus molecular subtypes (CMS1-CMS4), showing promise for outcome prediction. To facilitate clinical integration of CMS classification in settings where formalin-fixed paraffin-embedded (FFPE) samples are routinely used, we developed NanoCMSer, a NanoString-based CMS classifier using 55 genes.

Impact of annotation imperfections and auto-curation for deep learning-based organ-at-risk segmentation.

Background And Purpose: Segmentation imperfections (noise) in radiotherapy organ-at-risk segmentation naturally arise from specialist experience and image quality. Using clinical contours can result in sub-optimal convolutional neural network (CNN) training and performance, but manual curation is costly. We address the impact of simulated and clinical segmentation noise on CNN parotid gland (PG) segmentation performance and provide proof-of-concept for an easily implemented auto-curation countermeasure.

DNA methylation analysis on anal swabs for anal cancer screening in people living with HIV.

Introduction: High-resolution anoscopy (HRA) to prevent anal cancer is complex and screening capacity is limited. Previously, we showed that DNA methylation analysis of anal high-grade squamous intraepithelial lesions (HSIL) biopsies can distinguish between HSIL with an increased cancer risk, and HSIL with a low cancer risk, in which treatment may be safely withheld. Here, we assessed the performance of methylation analysis in anal swabs to identify patients with underlying HSIL with an increased cancer risk.

Robotic Versus Laparoscopic Liver Resection: A Nationwide Propensity Score Matched Analysis.

Objective: To compare nationwide outcomes of robotic liver resection (RLR) with laparoscopic liver resection (LLR).

Background: Minimally invasive liver resection is increasingly performed using the robotic approach as this could help overcome inherent technical limitations of laparoscopy. It is unknown if this translates to improved patient outcomes.