No abstract

The t(8;21)(q22;q22) translocation is one of the most common genetic abnormalities in acute myeloid leukemia (AML), identified in 15% of all cases of AML, including 40-50% of FAB M2 subtype and rare cases of M0, M1 and M4 subtypes. The most commonly known AML1-ETO fusion protein (full-length AML1-ETO) from this translocation has 752 amino acids and contains the N-terminal portion of RUNX1 (also known as AML1, CBFalpha2 or PEBP2alphaB), including its DNA binding domain, and almost the entire RUNX1T1 (also known as MTG8 or ETO) protein. Although alterations of gene expression and hematopoietic cell proliferation have been reported in the presence of AML1-ETO, its expression does not lead to the development of leukemia. Here, we report the identification of a previously unknown alternatively spliced isoform of the AML1-ETO transcript, AML1-ETO9a, that includes an extra exon, exon 9a, of the ETO gene. AML1-ETO9a encodes a C-terminally truncated AML1-ETO protein of 575 amino acids. Expression of AML1-ETO9a leads to rapid development of leukemia in a mouse retroviral transduction-transplantation model. More importantly, coexpression of AML1-ETO and AML1-ETO9a results in the substantially earlier onset of AML and blocks myeloid cell differentiation at a more immature stage. These results indicate that fusion proteins from alternatively spliced isoforms of a chromosomal translocation may work together to induce cancer development.

BackgroundCisplatin resistance is a major challenge for advanced head and neck cancer (HNC). Understanding the underlying mechanisms and developing effective strategies against cisplatin resistance are highly desired in the clinic. However, how tumor stroma modulates HNC growth and chemoresistance is unclear.ResultsWe show that cancer-associated fibroblasts (CAFs) are intrinsically resistant to cisplatin and have an active role in regulating HNC cell survival and proliferation by delivering functional miR-196a from CAFs to tumor cells via exosomes. Exosomal miR-196a then binds novel targets, CDKN1B and ING5, to endow HNC cells with cisplatin resistance. Exosome or exosomal miR-196a depletion from CAFs functionally restored HNC cisplatin sensitivity. Importantly, we found that miR-196a packaging into CAF-derived exosomes might be mediated by heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1). Moreover, we also found that high levels of plasma exosomal miR-196a are clinically correlated with poor overall survival and chemoresistance.ConclusionsThe present study finds that CAF-derived exosomal miR-196a confers cisplatin resistance in HNC by targeting CDKN1B and ING5, indicating miR-196a may serve as a promising predictor of and potential therapeutic target for cisplatin resistance in HNC.Electronic supplementary materialThe online version of this article (10.1186/s13059-018-1604-0) contains supplementary material, which is available to authorized users.

(Table 1). Definitive quantitative assays include calibrators fit to a regression model to calculate absolute values and reference standards that are well characterized and fully representative of the endogenous measurand. Definitive quantitative assays can be both accurate and precise. Relative quantitative assays utilize responseconcentration calibration, however in this scenario the reference standards are not fully characterized or truly representative of the endogenous measurand. As such, imprecision can be demonstrated for a relative quantitative method, but accuracy can only be estimated. With quasi-quantitative assays there is a relationship between the response and the measurand but calibration standards are not used. Thus, quasi-quantitative methods can be validated for imprecision, but not accuracy. Qualitative methods generate categorical data. Flow cytometric methods largely fall in the two latter categories and are essentially therefore quasi-quantitative or qualitative.Multi-color flow cytometry is a unique technology, which enables the analysis of heterogeneous cellular systems and provides multiparametric information at a cellby-cell level. The strength of flow cytometry lies not only in the ability to simultaneously measure multiple parameters, but also in the flexibility to report them in different ways. The appropriate data output depends on the biology of the system being investigated, the analytical or scientific question being asked, and the intended use of the results. A wide variety of data outputs can be reported usually expressed in terms of several characteristics of cells, or cell subsets, in the sample tested for example, percentage of positive events, absolute counts, median fluorescence intensity, quantitative antigen expression levels, ratiometric indices, markers coexpression, or relative nucleic acid content.