Pancreatic cancers require autophagy for tumor growth.

Macroautophagy (autophagy) is a regulated catabolic pathway to degrade cellular organelles and macromolecules. The role of autophagy in cancer is complex and may differ depending on tumor type or context. Here we show that pancreatic cancers have a distinct dependence on autophagy. Pancreatic cancer primary tumors and cell lines show elevated autophagy under basal conditions. Genetic or pharmacologic inhibition of autophagy leads to increased reactive oxygen species, elevated DNA damage, and a metabolic defect leading to decreased mitochondrial oxidative phosphorylation. Together, these ultimately result in significant growth suppression of pancreatic cancer cells in vitro. Most importantly, inhibition of autophagy by genetic means or chloroquine treatment leads to robust tumor regression and prolonged survival in pancreatic cancer xenografts and genetic mouse models. These results suggest that, unlike in other cancers where autophagy inhibition may synergize with chemotherapy or targeted agents by preventing the up-regulation of autophagy as a reactive survival mechanism, autophagy is actually required for tumorigenic growth of pancreatic cancers de novo, and drugs that inactivate this process may have a unique clinical utility in treating pancreatic cancers and other malignancies with a similar dependence on autophagy. As chloroquine and its derivatives are potent inhibitors of autophagy and have been used safely in human patients for decades for a variety of purposes, these results are immediately translatable to the treatment of pancreatic cancer patients, and provide a much needed, novel vantage point of attack.

The Evolving Genomic Landscape of Barrett's Esophagus and Esophageal Adenocarcinoma.

We have recently gained unprecedented insight into genetic factors that determine risk for Barrett's esophagus (BE) and progression to esophageal adenocarcinoma (EA). Next-generation sequencing technologies have allowed us to identify somatic mutations that initiate BE and track genetic changes during development of tumors and invasive cancer. These technologies led to identification of mechanisms of tumorigenesis that challenge the current multistep model of progression to EA. Newer, cost-effective technologies create opportunities to rapidly translate the analysis of DNA into tools that can identify patients with BE at high risk for cancer, detect dysplastic lesions more reliably, and uncover mechanisms of carcinogenesis.

RNA sequencing of pancreatic circulating tumour cells implicates WNT signalling in metastasis.

Circulating tumour cells (CTCs) shed into blood from primary cancers include putative precursors that initiate distal metastases. Although these cells are extraordinarily rare, they may identify cellular pathways contributing to the blood-borne dissemination of cancer. Here, we adapted a microfluidic device for efficient capture of CTCs from an endogenous mouse pancreatic cancer model and subjected CTCs to single-molecule RNA sequencing, identifying Wnt2 as a candidate gene enriched in CTCs. Expression of WNT2 in pancreatic cancer cells suppresses anoikis, enhances anchorage-independent sphere formation, and increases metastatic propensity in vivo. This effect is correlated with fibronectin upregulation and suppressed by inhibition of MAP3K7 (also known as TAK1) kinase. In humans, formation of non-adherent tumour spheres by pancreatic cancer cells is associated with upregulation of multiple WNT genes, and pancreatic CTCs revealed enrichment for WNT signalling in 5 out of 11 cases. Thus, molecular analysis of CTCs may identify candidate therapeutic targets to prevent the distal spread of cancer.

Reconciling art and science in the era of personalised medicine: the legacy of George Canguilhem.

BACKGROUND: Biomedicine, i.e. the application of basic sciences to medicine, has become the cornerstone for the study of etiopathogenesis and treatment of diseases. Biomedicine has enormously contributed to the progress of medicine and healthcare and has become the preferred approach to medical problems in the West. The developments in statistical inference and machine learning techniques have provided the foundation for personalised medicine where clinical management can be fully informed by biomedicine. The deployment of precision medicine may impact the autonomy and self-normativity of the patients. Understanding the relationship between biomedicine and medical practice can help navigate the benefits and challenges offered by precision medicine. METHODS: Conventional content analysis was applied to "Le Normal and le Pathologique" (Canguilhem G. The Normal and the Pathological. Princeton: Princeton University Press; 1991) and further investigated with respect to its relationship with techne and precision medicine using PubMed and Google Scholar and the Standford Encyclopedia of Philosophy to search for the following keywords singularly or in combination: "Canguilhem", "techne", "episteme", "precision medicine", "machine learning AND medicine". RESULTS: The Hippocratic concept of techne accounts for many characteristics of medical knowledge and practice. The advances of biomedicine, experimental medicine and, more recently, machine learning offer, in contrast, the model of a medicine based purely on episteme. I argue that Canguilhem medical epistemology establishes a framework where episteme and data-driven medicine is compatible with the promotion of patient's autonomy and self-normativity. CONCLUSIONS: Canguilhem's medical epistemology orders the relationship of applied medicine with experimental sciences, ethics and social sciences. It provides guidance to define the scope of medicine and the boundaries of medicalization of healthy life. Finally, it sets an agenda for a safe implementation of machine learning in medicine.

Lysine-specific demethylase 2B (KDM2B)-let-7-enhancer of zester homolog 2 (EZH2) pathway regulates cell cycle progression and senescence in primary cells.

Sustained expression of the histone demethylase, KDM2B (Ndy1/FBXL10/JHDM1B), bypasses cellular senescence in primary mouse embryonic fibroblasts (MEFs). Here, we show that KDM2B is a conserved regulator of lifespan in multiple primary cell types and defines a program in which this chromatin-modifying enzyme counteracts the senescence-associated down-regulation of the EZH2 histone methyltransferase. Senescence in MEFs epigenetically silences KDM2B and induces the tumor suppressor miRNAs let-7b and miR-101, which target EZH2. Forced expression of KDM2B promotes immortalization by silencing these miRNAs through locus-specific histone H3 K36me2 demethylation, leading to EZH2 up-regulation. Overexpression of let-7b down-regulates EZH2, induces premature senescence, and counteracts immortalization of MEFs driven by KDM2B. The KDM2B-let-7-EZH2 pathway also contributes to the proliferation of immortal Ink4a/Arf null fibroblasts suggesting that, beyond its anti-senescence role in primary cells, this histone-modifying enzyme functions more broadly in the regulation of cellular proliferation.

Recurrence and prognostic factors in patients with aggressive fibromatosis. The role of radical surgery and its limitations.

BACKGROUND: Surgery is still the standard treatment for aggressive fibromatosis (AF); however, local control remains a significant problem and the impact of R0 surgery on cumulative recurrence (CR) is objective of contradictory reports. METHODS: This is a single-institution study of 62 consecutive patients affected by extra-abdominal and intra-abdominal AF who received macroscopically radical surgery within a time period of 15 years. RESULTS: Definitive pathology examination confirmed an R0 situation in 49 patients and an R1 in 13 patients. Five-year CR for patients who underwent R0 vs R1 surgery was 7.1% vs 46.4% (P = 0.04) and for limbs vs other localizations 33.3% vs 9.9% (P = 0.02) respectively. In 17 patients who had intraoperative frozen section (IFS) margin evaluation R0 surgery was more common (17 of 17 vs 32 of 45, P = 0.01) and CR lower (five-year CR 0% vs 19.1%, respectively, P = 0.04). However, in multivariate analysis only limb localization showed a negative impact on CR (HR: 1.708, 95% CI 1.03 to 2.84, P = 0.04). CONCLUSIONS: IFS evaluation could help the surgeon to achieve R0 surgery in AF. Non-surgical treatment, including watchful follow-up, could be indicated for patients with limb AF localization, because of their high risk of recurrence even after R0 surgery.

Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas.

Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed structural variations (SV) with a predominance of deletions, tandem duplications and inter-chromosome junctions that could be identified as LINE-1 mobile element (ME) insertions. Complex clusters of rearrangements resembling breakage-fusion-bridge cycles or extrachromosomal circular DNA accounted for 22% of complex SVs affecting known oncogenes. Counting SV events affecting known driver genes substantially increased the recurrence rates of these drivers. After excluding fragile sites, we identified 51 candidate new drivers in genomic regions disrupted by SVs, including ETV5, KAT6B and CLTC. RUNX1 was the most recurrently altered gene (24%), with many deletions inactivating the RUNT domain but preserved the reading frame, suggesting an altered protein product. These findings underscore the importance of identification of SV events in OAC with implications for targeted therapies.

Comparison of outcomes between neoadjuvant chemoradiotherapy and neoadjuvant chemotherapy in patients with locally advanced esophageal cancer: A network meta-analysis.

BACKGROUND: Neoadjuvant chemoradiotherapy (NCRT) or neoadjuvant chemotherapy (NCT) followed by surgery are two standard strategies in treating locally advanced esophageal cancer (EC). We aim to compare NCRT and NCT in the management of locally advanced EC patients. METHODS: MEDLINE, Embase, CENTRAL, and conferences were systematically searched for clinical trials published up to September 2021. Pairwise comparisons and Bayesian network meta-analyses were conducted to compare overall survival (OS) and disease-free survival (DFS) by reporting the hazard ratio (HR) and 95% credible intervals (CrIs). The study was registered at PROSPERO (CRD42020170619). FINDINGS: 25 trials with 4563 EC patients met inclusion criteria. NCRT improved OS (HR: 0·72, 95%CrI: 0·63-0·82) and DFS (HR: 0·72, 95%CrI: 0·63-0·81) compared to surgery alone. NCRT improved OS (HR: 0·83, 95%CrI: 0·69-0·99) and DFS (HR: 0·83, 95%CI: 0·69-0·99) compared to NCT. Subgroup analysis demonstrated that both NCRT (HR: 0·77, 95%CrI: 0·65-0·90) and NCT (HR: 0·81, 95%CrI: 0·67-0·99) improved OS than surgery in esophageal squamous cell carcinoma (ESCC) patients. No significant differences were observed between NCRT and NCT regarding OS (HR: 0·95, 95%CrI: 0·75-1·19) and DFS (HR: 0·90, 95%CrI: 0·50-1·62) in ESCC. The short-term outcomes were similar between NCRT and NCT. The three treatment strategies were comparable in esophageal adenocarcinoma (EAC) subpopulations. INTERPRETATION: The study corroborated current guidelines in addressing the importance of analysing EC according to histopathological types. The analysis suggested that in locally advanced ESCC patients, both NCRT and NCT improved OS as compared to surgery alone, whereas no clear evidence supported the optimal strategies between NCRT and NCT. More RCTs comparing different therapeutic strategies in EAC patients are warranted. FUNDING: Köln Fortune Program, University of Cologne.

Identifying Cancer Drivers Using DRIVE: A Feature-Based Machine Learning Model for a Pan-Cancer Assessment of Somatic Missense Mutations.

Sporadic cancer develops from the accrual of somatic mutations. Out of all small-scale somatic aberrations in coding regions, 95% are base substitutions, with 90% being missense mutations. While multiple studies focused on the importance of this mutation type, a machine learning method based on the number of protein-protein interactions (PPIs) has not been fully explored. This study aims to develop an improved computational method for driver identification, validation and evaluation (DRIVE), which is compared to other methods for assessing its performance. DRIVE aims at distinguishing between driver and passenger mutations using a feature-based learning approach comprising two levels of biological classification for a pan-cancer assessment of somatic mutations. Gene-level features include the maximum number of protein-protein interactions, the biological process and the type of post-translational modifications (PTMs) while mutation-level features are based on pathogenicity scores. Multiple supervised classification algorithms were trained on Genomics Evidence Neoplasia Information Exchange (GENIE) project data and then tested on an independent dataset from The Cancer Genome Atlas (TCGA) study. Finally, the most powerful classifier using DRIVE was evaluated on a benchmark dataset, which showed a better overall performance compared to other state-of-the-art methodologies, however, considerable care must be taken due to the reduced size of the dataset. DRIVE outlines the outstanding potential that multiple levels of a feature-based learning model will play in the future of oncology-based precision medicine.

Molecular imaging agents: impact on diagnosis and therapeutics in oncology.

Imaging has become a crucial tool in oncology throughout the course of disease detection and management, and is an integral part of clinical trials. Anatomical and functional imaging led the way, providing valuable information used in the diagnosis of disease, including data regarding the size and location of the tumour and on physiological processes such as blood flow and perfusion. As understanding of cancer pathogenesis has advanced through the identification of genetic, biochemical and cellular alterations in evolving tumours, emphasis has been put on developing methods to detect and serially monitor such alterations. This class of approaches is referred to as molecular imaging. Molecular imaging offers the potential for increasingly sensitive and specific visualisation and quantification of biological processes at the cellular and molecular level. These approaches have become established as essential tools for cancer research, early cancer detection and staging, and monitoring and predicting response to targeted therapies. Here, we discuss recent advances in the development of molecular imaging agents and their implementation in basic cancer research as well as in more rationalised approaches to cancer care.

Aggressive treatment approach for cloacogenic carcinoma of the anorectum: report from a single cancer center.

BACKGROUND/AIMS: The prognosis of cloacogenic carcinoma of the anorectum has rarely been investigated, and its clinical behavior is supposed to be similar to common squamous anal cancers. During the last 10 years, chemoradiation treatment (CRT) has been considered the standard of care for anal cancer. METHODS: We retrospectively investigated the treatment of cloacogenic cancers treated within the framework of a multidisciplinary cancer center team during an 8-year period. The medical records of 7 patients affected by cloacogenic carcinoma were analyzed. Three patients presented distant metastases at the time of diagnosis. CRT using 5-fluorouracil + mitomycin or cisplatin was considered the gold standard for those cases amenable to cure. RESULTS: After a mean follow-up time of 33 months (range 9-100), disease recurrence or progression was observed in 6 patients, which caused death in 3 of them. Three- and 5-year actuarial overall survival rates were 71 and 48%, respectively. CONCLUSIONS: Our data seem to suggest that the cloacogenic origin could present prognostic relevance within the wide spectrum of anal cancers. This should be carefully considered when submitting patients to aggressive and prolonged treatments. However, this hypothesis needs to be confirmed by larger series of this disease.

Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition.

About half of all cancers have somatic integrations of retrotransposons. Here, to characterize their role in oncogenesis, we analyzed the patterns and mechanisms of somatic retrotransposition in 2,954 cancer genomes from 38 histological cancer subtypes within the framework of the Pan-Cancer Analysis of Whole Genomes (PCAWG) project. We identified 19,166 somatically acquired retrotransposition events, which affected 35% of samples and spanned a range of event types. Long interspersed nuclear element (LINE-1; L1 hereafter) insertions emerged as the first most frequent type of somatic structural variation in esophageal adenocarcinoma, and the second most frequent in head-and-neck and colorectal cancers. Aberrant L1 integrations can delete megabase-scale regions of a chromosome, which sometimes leads to the removal of tumor-suppressor genes, and can induce complex translocations and large-scale duplications. Somatic retrotranspositions can also initiate breakage-fusion-bridge cycles, leading to high-level amplification of oncogenes. These observations illuminate a relevant role of L1 retrotransposition in remodeling the cancer genome, with potential implications for the development of human tumors.

Neoadjuvant chemotherapy followed by hepatectomy for primarily resectable colorectal cancer liver metastases.

BACKGROUND/AIMS: Hepatic resection in metastatic disease from colorectal cancer offers the best chance in selected cases for long-term survival. Neoadjuvant chemotherapy (NACT) has been advocated in some cases initially deemed irresectable with few reports of the efficacy of such a strategy and the influence of the response to chemotherapy on the outcome of radical hepatic resection. METHODOLOGY: Between December 1995 and May 2005, 88 patients with colorectal liver metastases underwent hepatic resection with curative intent. Twenty-five of these patients, (7 males, 18 females, mean age: 58+/-9 years; range: 40-75 years) deemed as resectable cases at the time of diagnosis were treated with neoadjuvant chemotherapy. A 7-year survival analysis was performed. Chemotherapy included mainly oxaliplatin or irinotecan containing regimens for a median of 6 courses. RESULTS: Fifteen patients (60%) had synchronous and 10 (40%) metachronous metastases. During preoperative chemotherapy tumor regression occurred in 8 cases (32%); stable disease (SD) in a further 10 patients (40%) and progressive disease (PD) developed in 7 cases (28%). The 5-year overall survival for NACT responders was 71% and only 15% for non-responders (p=0.026). CONCLUSIONS: The response to chemotherapy is likely to be a significant prognostic factor affecting overall survival after radical hepatic resection for colorectal metastases.

The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic.

Esophageal adenocarcinoma (EAC) is a poor-prognosis cancer type with rapidly rising incidence. Understanding of the genetic events driving EAC development is limited, and there are few molecular biomarkers for prognostication or therapeutics. Using a cohort of 551 genomically characterized EACs with matched RNA sequencing data, we discovered 77 EAC driver genes and 21 noncoding driver elements. We identified a mean of 4.4 driver events per tumor, which were derived more commonly from mutations than copy number alterations, and compared the prevelence of these mutations to the exome-wide mutational excess calculated using non-synonymous to synonymous mutation ratios (dN/dS). We observed mutual exclusivity or co-occurrence of events within and between several dysregulated EAC pathways, a result suggestive of strong functional relationships. Indicators of poor prognosis (SMAD4 and GATA4) were verified in independent cohorts with significant predictive value. Over 50% of EACs contained sensitizing events for CDK4 and CDK6 inhibitors, which were highly correlated with clinically relevant sensitivity in a panel of EAC cell lines and organoids.

The Medicalization of Health and Shared Responsibility.

Public, occupational and environmental health are relatively novel disciplines compared to the ancient history of medicine. Their development, together with a more insightful knowledge of the human pathophysiology (this more usual term is the one used in the article itself), have progressively expanded the field of investigation of medicine to environmental, behavioural and genetic factors that favour the development of certain medical conditions. As a result we have developed numerous additional strategies to monitor health and prevent disease, including interventions in anticipation of diseases themselves when patients are still healthy or in a grey area of increased risk. New developments related to genomics and distributed point of care technologies will exacerbate a process of medicalization of health. This process is profoundly re-shaping how medicine interacts with the general population, states and policy makers and has implications for healthcare system design and individual health choices.

Whole-genome sequencing of nine esophageal adenocarcinoma cell lines.

Esophageal adenocarcinoma (EAC) is highly mutated and molecularly heterogeneous. The number of cell lines available for study is limited and their genome has been only partially characterized. The availability of an accurate annotation of their mutational landscape is crucial for accurate experimental design and correct interpretation of genotype-phenotype findings. We performed high coverage, paired end whole genome sequencing on eight EAC cell lines-ESO26, ESO51, FLO-1, JH-EsoAd1, OACM5.1 C, OACP4 C, OE33, SK-GT-4-all verified against original patient material, and one esophageal high grade dysplasia cell line, CP-D. We have made available the aligned sequence data and report single nucleotide variants (SNVs), small insertions and deletions (indels), and copy number alterations, identified by comparison with the human reference genome and known single nucleotide polymorphisms (SNPs). We compare these putative mutations to mutations found in primary tissue EAC samples, to inform the use of these cell lines as a model of EAC.

Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance.

Esophageal adenocarcinoma (EAC) has a poor outcome, and targeted therapy trials have thus far been disappointing owing to a lack of robust stratification methods. Whole-genome sequencing (WGS) analysis of 129 cases demonstrated that this is a heterogeneous cancer dominated by copy number alterations with frequent large-scale rearrangements. Co-amplification of receptor tyrosine kinases (RTKs) and/or downstream mitogenic activation is almost ubiquitous; thus tailored combination RTK inhibitor (RTKi) therapy might be required, as we demonstrate in vitro. However, mutational signatures showed three distinct molecular subtypes with potential therapeutic relevance, which we verified in an independent cohort (n = 87): (i) enrichment for BRCA signature with prevalent defects in the homologous recombination pathway; (ii) dominant T>G mutational pattern associated with a high mutational load and neoantigen burden; and (iii) C>A/T mutational pattern with evidence of an aging imprint. These subtypes could be ascertained using a clinically applicable sequencing strategy (low coverage) as a basis for therapy selection.

Combined MEK and PI3K inhibition in a mouse model of pancreatic cancer.

PURPOSE: Improved therapeutic approaches are needed for the treatment of pancreatic ductal adenocarcinoma (PDAC). As dual MEK and PI3K inhibition is presently being used in clinical trials for patients with PDAC, we sought to test the efficacy of combined targeting of these pathways in PDAC using both in vitro drug screens and genetically engineered mouse models (GEMM). EXPERIMENTAL DESIGN: We performed high-throughput screening of >500 human cancer cell lines (including 46 PDAC lines), for sensitivity to 50 clinically relevant compounds, including MEK and PI3K inhibitors. We tested the top hit in the screen, the MEK1/2 inhibitor, AZD6244, for efficacy alone or in combination with the PI3K inhibitors, BKM120 or GDC-0941, in a Kras(G12D)-driven GEMM that recapitulates the histopathogenesis of human PDAC. RESULTS: In vitro screens revealed that PDAC cell lines are relatively resistant to single-agent therapies. The response profile to the MEK1/2 inhibitor, AZD6244, was an outlier, showing the highest selective efficacy in PDAC. Although MEK inhibition alone was mainly cytostatic, apoptosis was induced when combined with PI3K inhibitors (BKM120 or GDC-0941). When tested in a PDAC GEMM and compared with the single agents or vehicle controls, the combination delayed tumor formation in the setting of prevention and extended survival when used to treat advanced tumors, although no durable responses were observed. CONCLUSIONS: Our studies point to important contributions of MEK and PI3K signaling to PDAC pathogenesis and suggest that dual targeting of these pathways may provide benefit in some patients with PDAC. Clin Cancer Res; 21(2); 396-404. ©2014 AACR.

Expression analysis of the gene encoding for the U-box-type ubiquitin ligase UBE4A in human tissues.

The Ubiquitination Factor E4A gene (UBE4A) encodes for a U-box-type ubiquitin ligase, originally described as an E4 ubiquitination factor. UBE4A is a mammalian homolog of Saccharomyces cerevisiae Ufd2. The UBE4A gene has been mapped on the human chromosome region 11q23.3, a critical region involved in some specific cancers such as neuroblastoma. Northern blots analysis on foetal and adult human tissues revealed a single band of approximately 7.5 kb transcript most abundant in the heart, skeletal muscle and kidney. We generated a polyclonal antibody to UBE4A and performed immunoblot and immunohistochemical analysis. The UBE4A protein appeared as a single band of approximately 125 kDa. UBE4A was present in the skeletal muscle, kidney and liver; a faint band was visible in peripheral blood leukocytes and spleen. We did not reveal expression of UBE4A in whole brain, colon, lung and heart. At the cellular level, UBE4A results predominantly expressed in the nucleus and the cytoplasm of cortical neurons and liver and in the nucleus of tubular kidney cells. In the liver, the nucleus of similar cells appeared to be unstained or stained at different levels suggesting that UBE4A may have a cell cycle dependent expression or a role of in cell cycle control. In conclusion, our results show that UBE4A is expressed in different tissues in a pattern that seems to be dependent from cell type and cell cycle and that UBE4A might have a specific role in different biochemical processes other than ubiquitination, including growth or differentiation.