https://cancerbiologyprogram.med.wayne.edu/pdfs/hallmarks_cancer_article.pdf

Hallmarks of cancer: the next generation.

The hallmarks of cancer.

WHO CLASSIFICATION OF TUMOURS OF HAEMATOPOIETIC AND LYMPHOID TISSUES , WHO CLASSIFICATION OF TUMOURS OF HAEMATOPOIETIC AND LYMPHOID TISSUES , کتابخانه مرکزی دانشگاه علوم پزشکی تهران

WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues

Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments.

Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement.

Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.

/pdf/the-miqe-guidelines-minimum-information-for-publication-of-27m8n04lrd.pdf

The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments

The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.

/pdf/the-2016-world-health-organization-classification-of-tumors-1rt6cpzcew.pdf

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Telomerase is a ribonuclear protein reverse transcriptase that maintains telomere length in eukaryotic cells. Activation of telomerase has been implicated in human cellular immortalization and carcinogenesis. Telomerase activity in ovarian neoplasm has been studied using polymerase chain reaction (PCR)-based methods and shown to be correlated with malignancy. However, we believe those results must be interpreted with caution because such studies used a heterogeneous mix of cells, including normal cell type known to express telomerase when activated. The present study used in situ hybridization that allows determination of the type of cells expressing telomerase, as well as the intensity of that expression, in ovarian neoplasms. A total of 75 specimens were studied. Epithelial telomerase reverse transcriptase mRNA expression was detected in 28 of 31 epithelial ovarian carcinomas, 1 of 1 malignant granulosa cell tumor, 7 of 9 serous borderline ovarian tumors, 11 of 11 mucinous borderline ovarian tumors, 4 of 5 serous cystadenofibromas, 2 of 4 serous cystadenomas, 8 of 8 mucinous cystadenomas, and 0 of 6 normal ovaries except the corpus luteum. Telomerase expression is heterogeneously found in both benign and malignant epithelial tissues. We conclude that human telomerase reverse transcriptase mRNA expression does not seem to be a reliable marker for clinical use in differentiating between benign and malignant tumors.

In situ human telomerase reverse transcriptase expression pattern in normal and neoplastic ovarian tissues.

Transitional cell carcinoma of the bladder is a common malignancy worldwide that is associated with significant morbidity and mortality. Although superficial tumors can often be treated effectively, invasive cancers not only require invasive surgery, but are also refractory to aggressive chemotherapy and radiotherapy. In this issue of Genes & Development, Puzio-Kuter and colleagues (pp. 675-680) describe an elegant genetically engineered murine model of bladder cancer that recapitulates many of the cardinal features of the human disease. The development of such models together with the application of new approaches to enumerate the complement of genetic alterations in bladder will provide new insights into the molecular nature of this disease. Moreover, the anatomy of this urinary malignancy provides a unique opportunity for innovative translational studies.

/pdf/bladder-cancer-modeling-and-translation-3nj5vnoi3u.pdf

Bladder cancer: modeling and translation

Inhibition of the protein phosphatase 2A (PP2A) family of serine-threonine phosphatases contributes to human cell transformation. Depletion of PP2A complexes containing the PP2A B56gamma regulatory subunit in immortalized human cells induces cell transformation in vitro. To examine the function of PP2A B56gamma complexes, we applied tandem affinity purification and mass spectrometry to detect proteins that bind to PP2A B56gamma. We identified liprin alpha1 as a novel PP2A B56gamma interacting protein. B56gamma-liprin alpha1 complexes are distinct from PP2A complexes containing B56gamma. Consistent with this finding, liprin alpha1 does not directly contribute to cell transformation. However, suppression of liprin alpha1 by RNA interference alters cell morphology. These findings suggest a novel role for PP2A B56gamma independent of its regulation of PP2A activity.

Liprin alpha1 interacts with PP2A B56gamma.

TNF-related apoptosis-inducing ligand (TRAIL) kills tumor cells selectively. We asked how emerging tumor cells escape elimination by TRAIL and how tumor-specific killing by TRAIL could then be restored. We found that TRAIL expression is consistently downregulated in HRAS(G12V)-transformed cells in stepwise tumorigenesis models derived from four different tissues due to DNA hypermethylation of CpG clusters within the TRAIL promoter. Decitabine de-silenced TRAIL, which remained inducible by interferon, while induction of TRAIL by blocking the HRAS(G12V)-activated mitogen-activated protein kinase pathway was subordinated to epigenetic silencing. Decitabine induced apoptosis through upregulation of endogenous TRAIL in cooperation with favorable regulation of key players acting in TRAIL-mediated apoptosis. Apoptosis induction by exogenously added TRAIL was largely increased by decitabine. In vivo treatment of xenografted human HRAS(G12V)-transformed human epithelial kidney or syngenic mice tumors by decitabine blocked tumor growth induced TRAIL expression and apoptosis. Our results emphasize the potential of decitabine to enhance TRAIL-induced apoptosis in tumors and thus provide a rationale for combination therapies with decitabine to increase tumor-selective apoptosis.

https://mct.aacrjournals.org/content/molcanther/10/9/1611.full.pdf

Transformation-Dependent Silencing of Tumor-Selective Apoptosis-Inducing TRAIL by DNA Hypermethylation Is Antagonized by Decitabine

Genetic and chemical perturbations impact diverse cellular phenotypes, including multiple indicators of cell health. These readouts reveal toxicity and antitumorigenic effects relevant to drug discovery and personalized medicine. We developed two customized microscopy assays that use seven reagents to measure 70 specific cell health phenotypes including proliferation, apoptosis, reactive oxygen species (ROS), DNA damage, and aberrant cell cycle stage progression. We then tested an approach to predict multiple cell health phenotypes using Cell Painting, an inexpensive and scalable image-based morphology assay. In matched CRISPR perturbations of three cancer cell lines, we collected both Cell Painting and cell health data. We found that simple machine learning algorithms can predict many cell health readouts directly from Cell Painting images, at less than half the cost. We hypothesized that these trained models can be applied to accurately predict cell health assay outcomes for any future or existing Cell Painting dataset. For Cell Painting images from a set of 1,500+ compound perturbations across multiple doses, we validated predictions by orthogonal assay readouts, and by confirming mitotic arrest and ROS phenotypes via PLK and proteasome inhibition, respectively. We provide an intuitive web app to browse all predictions at http://broad.io/cell-health-app. Our approach can be used to add cell health annotations to Cell Painting perturbation datasets.

/pdf/predicting-cell-health-phenotypes-using-image-based-3hio7f5v66.pdf

William C. Hahn

Papers

In situ human telomerase reverse transcriptase expression pattern in normal and neoplastic ovarian tissues.

Bladder cancer: modeling and translation

Liprin alpha1 interacts with PP2A B56gamma.

Transformation-Dependent Silencing of Tumor-Selective Apoptosis-Inducing TRAIL by DNA Hypermethylation Is Antagonized by Decitabine

Predicting cell health phenotypes using image-based morphology profiling