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LDOC1 mRNA is differentially expressed in chronic lymphocytic leukemia and predicts overall survival in untreated patients.

ABSTRACT: We previously identified LDOC1 as one of the most significantly differentially expressed genes in untreated chronic lymphocytic leukemia (CLL) patients with respect to the somatic mutation status of the immunoglobulin heavy-chain variable region genes. However, little is known about the normal function of LDOC1, its contribution to the pathophysiology of CLL, or its prognostic significance. In this study, we have investigated LDOC1 mRNA expression in a large cohort of untreated CLL patients, as well as in normal peripheral blood B-cell (NBC) subsets and primary B-cell lymphoma samples. We have confirmed that LDOC1 is dramatically down-regulated in mutated CLL cases compared with unmutated cases, and have identified a new splice variant, LDOC1S. We show that LDOC1 is expressed in NBC subsets (naive > memory), suggesting that it may play a role in normal B-cell development. It is also expressed in primary B-cell lymphoma samples, in which its expression is associated with somatic mutation status. In CLL, we show that high levels of LDOC1 correlate with biomarkers of poor prognosis, including cytogenetic markers, unmutated somatic mutation status, and ZAP70 expression. Finally, we demonstrate that LDOC1 mRNA expression is an excellent predictor of overall survival in untreated CLL patients.

SUBMITTER: Duzkale H

PROVIDER: S-EPMC3087532 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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LDOC1 mRNA is differentially expressed in chronic lymphocytic leukemia and predicts overall survival in untreated patients.

Duzkale Hatice H Schweighofer Carmen D CD Coombes Kevin R KR Barron Lynn L LL Ferrajoli Alessandra A O'Brien Susan S Wierda William G WG Pfeifer John J Majewski Tadeusz T Czerniak Bogdan A BA Jorgensen Jeffrey L JL Medeiros L Jeffrey LJ Freireich Emil J EJ Keating Michael J MJ Abruzzo Lynne V LV

Blood 20110210 15

We previously identified LDOC1 as one of the most significantly differentially expressed genes in untreated chronic lymphocytic leukemia (CLL) patients with respect to the somatic mutation status of the immunoglobulin heavy-chain variable region genes. However, little is known about the normal function of LDOC1, its contribution to the pathophysiology of CLL, or its prognostic significance. In this study, we have investigated LDOC1 mRNA expression in a large cohort of untreated CLL patients, as ...[more]

PMID: 21310924

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Project description:BackgroundImmunoscore, as a prognostic tool defined to quantify in situ immune cell infiltrates, appears to be superior to the TNM staging system. In esophageal squamous cell carcinoma (ESCC), no immunoscore has been established; however, in situ tumor immunology is recognized as highly important. Our study aimed to construct a comprehensive immunoprofile for ESCC.MethodsThe infiltration of four immune cell types (CD8+/CD4+/Foxp3+/CD33+ cells), the expression of both inhibitory (PD-1/PD-L1/Tim-3/LAG-3) and stimulatory checkpoints (OX-40/ICOS), and IDO1 were evaluated by IHC staining and multi-color immunofluorescence in two independent cohorts (95 patients in the primary cohort and 55 patients in the validation cohort). The association with patients' overall survival was analyzed by the Kaplan-Meier method and the Cox model. Nomogram-based immunoprofile was established using the independent prognostic variables. To determine its predictive accuracy and discriminatory capacity, the C-index and calibration curve were calculated.ResultsSignificant correlation of PD-L1 expression in tumor cells with PD-1+ T cell infiltration was found (P = 0.035), indicating the activation of the inhibitory PD-1/PD-L1 pathway in ESCC cases. More PD-L1+ ICs, Tim-3+ ICs and LAG-3+ ICs were found in the CD8-rich tumor microenvironment, which is in accordance with the feedback nature of immune system. After adjustment by TNM stage, four immune variables including the infiltration of CD8+/Foxp3+/CD33+ cells and the PD-L1 expression by tumor cells were selected to construct a prognostic nomogram. The calibration curves showed good accuracy of the nomogram for survival prediction. To overcome the complexity of applying a nomogram in a clinical setting, a simple immunoprofile was then established according to the points of each factor from the nomogram. Our immunoprofile model could separate same-stage patients into different risk subgroups, and showed superior accuracy for survival prediction than the TNM staging system based on the C-index calculation and ROC analysis.ConclusionsOur nomogram-based immunoprofile can provide more accurate prognosis prediction and is an important complement to the TNM staging system for operable ESCC patients.

Dataset Information

LDOC1 mRNA is differentially expressed in chronic lymphocytic leukemia and predicts overall survival in untreated patients.

Publications

LDOC1 mRNA is differentially expressed in chronic lymphocytic leukemia and predicts overall survival in untreated patients.

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