• Klint Kuhn posted an update 4 hours, 38 minutes ago

    Mosaic Analysis with Double Markers (MADM) allows fluorescent labeling and concomitant induction of UPD sparsely in specific cell types, and thus to over-express or suppress all imprinted genes on that chromosome. To illustrate the utility of this technique, we explain how MADM-induced UPD revealed new insights about the function of the well-studied Cdkn1c imprinted gene, and how MADM-induced UPDs led to identification of highly cell type specific phenotypes related to perturbed imprinted expression in the mouse neocortex. Finally, we give an outlook on how MADM could be used to probe cell type specific imprinted expression in other tissues in mouse, particularly in extra-embryonic tissues.

    Brain metastases (BMs) from colorectal cancer (CRC) are rare (≈2%) but are increasing with the improvement of CRC prognosis. The main objective of this study was to evaluate the prognostic factors of BM from CRC.

    This multicenter retrospective study included all consecutive patients with BM from CRC diagnosed between 2000 and 2017.

    Prognostic factors of OS were evaluated in univariate (log-rank test) and multivariate analyses (Cox regression model). These prognostic factors could help the management of patients with BM from CRC.

    A total of 358 patients were included with a median age of 65.5years. Primary tumors were mostly located in the rectum (42.4%) or left colon (37.2%) and frequently KRAS-mutated (56.9%). The median time from metastatic CRC diagnosis to BM diagnosis was 18.5±2.5months. BMs were predominantly single (56.9%) and only supratentorial (54.4%). BM resection was performed in 33.0% of the cases and 73.2% of patients had brain radiotherapy alone or after surgery. Median OS was 5.1±0.3months. In multivariate analysis, age under 65years, ECOG performance status 0-1, single BM and less than 3 chemotherapy lines before BM diagnosis were associated with better OS. Prognostic scores, i.e. recursive partitioning analysis (RPA), Graded Prognostic Assessment (GPA), Disease Specific-Graded Prognostic Assessment (DS-GPA), Gastro-Intestinal-Graded Prognostic Assessment (GI-GPA) and the nomogram were statistically significantly associated with OS but the most relevant prognosis criteria seemed the ECOG performance status 0-1.

    ECOG performance status, number of BM and number of chemotherapy lines are the most relevant factors in the management of patients with BM from CRC.

    ECOG performance status, number of BM and number of chemotherapy lines are the most relevant factors in the management of patients with BM from CRC.

    To describe the utilization pattern of head and neck (HN) surveillance imaging and explore the optimal strategy for radiologic “residual” lymph node (LN) surveillance following definitive (chemo)radiotherapy (RT/CRT) in human papillomavirus (HPV)+ oropharyngeal carcinoma (OPC).

    All HPV+ OPC patients who completed RT/CRT from 2012 to 2015 were included. Schedule and rationale for post-treatment HN-CT/MRI were recorded. Imaging findings and oncologic outcomes were evaluated.

    A total of 1036 scans in 412 patients were reviewed 414 scans for first post-treatment response assessment and 622 scans for the following reasons follow-up of radiologic “residual” LN(s) (293 scans/175 patients); local symptoms (227/146); other (17/16); unknown (85/66). Rate of scans with “unstated” reason varied significantly among clinicians (3-28%, p<0.001) and none of them yielded any positive imaging findings. First post-treatment scans identified 192 (47%) patients with radiologic “residual” LNs. Neck dissection (ND) was persigns does not demonstrate proven value in identifying locoregional failure or toxicity. Radiologic “residual” LNs without adverse features are common. If two subsequent follow-up scans demonstrate stable/regressing radiologic “residual” LNs, clinical surveillance without further imaging appears to be safe in this population.RUNX3, a transcription factor, has been implicated as a tumor suppressor in various cancers, including hematological malignancies; however, recent studies revealed an oncogenic function of RUNX3 in the pathogenesis of myeloid malignancies, such as myelodysplastic syndrome and acute myeloid leukemia. In contrast to the high frequency of mutations in the RUNX1 gene, deletion of and loss-of-function mutations in RUNX3 are rarely detected in patients with hematopoietic malignancies. Although RUNX3 is expressed in normal hematopoietic stem and progenitor cells, its expression decreases with aging in humans. The loss of Runx3 did not result in the development of lethal hematological diseases in mice despite the expansion of myeloid cells. Therefore, RUNX3 does not appear to initiate the transformation of normal hematopoietic stem cells. Homoharringtonine cost However, the overexpression of RUNX3 inhibits the expression and transcriptional function of the RUNX1 gene, but activates the expression of key oncogenic pathways, such as MYC, resulting in the transformation of premalignant stem cells harboring a driver genetic mutation. We herein discuss the mechanisms by which RUNX3 is activated and how RUNX3 exerts oncogenic effects on the cellular function of and transcriptional program in premalignant stem cells to drive myeloid transformation.Acute erythroid leukemia (AEL) is an acute leukemia characterized by erythroid lineage transformation. The World Health Organization (WHO) 2008 classification recognized two subtypes of AEL bilineage erythroleukemia (erythroid/myeloid leukemia) and pure erythroid leukemia. The erythroleukemia subtype was removed in the updated 2016 WHO classification, with about half of cases reclassified as myelodysplastic syndrome (MDS) and half as acute myeloid leukemia (AML). Diagnosis and classification are currently based on morphology using standard blast cutoffs, without integration of underlying genomic and other molecular features. Key outstanding questions are therefore whether AEL can be accurately diagnosed based solely on morphology or whether genetic or other molecular criteria should be included in its classification, and whether considering AEL as an entity distinct from AML and MDS is clinically relevant. We discuss recent work on the molecular basis of AEL, including the identification of mutations causative of AEL and of transcriptional and epigenetic features that can be used to distinguish AEL from MDS and nonerythroid AML, and the prognostic value of these molecular features.