Lymphoblastic Lymphoma: an Updated Review on Biology, Diagnosis, and Treatment

Renato Bassan,Elena Maino,Sergio Cortelazzo

European journal of haematology（2016）

Osped Angelo | Clin Humanitas Gavazzeni

Cited 93|Views1

Abstract

Lymphoblastic lymphoma is a rare aggressive neoplasm of T-/B-precursors resembling acute lymphoblastic leukemia, with no or limited bone marrow involvement (<25%), that develops more frequently in children and young adults and is typically characterized by a grossly enlarged mediastinum, and whose diagnostic hallmark is the expression of a T-/B-precursor cell immunophenotype, the T-cell subset accounting for 90% of all cases. The adoption of pediatric-derived, intensive lymphoblastic leukemia-like protocols led to significantly improved results, with survival rates of about 70% and 90% in adults and children, respectively. Adequate central nervous system prophylaxis and mediastinal irradiation contributed to the therapeutic success; however, the role of radiation therapy is debated due to toxicity concerns and the excellent results obtained with radiation-free programs especially in pediatric patients. With these modern schedules, localized radiotherapy and/or hematopoietic stem cell transplants could be generally omitted, and considered only for high-risk patients identified through postinduction computed tomography/positron-emission tomography scans, minimal residual disease analysis, and new genetics and genomics. New clinical studies will have to confirm the value of these assays for risk-oriented therapy, while further therapeutic progress is expected from the introduction of new drugs and targeting agents.

Translated text

Key words

lymphoblastic lymphoma,biology,diagnosis,risk factors,treatment

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper