Literature DB >> 21843495

Peripheral blood lymphocyte and monocyte recovery and survival in acute leukemia postmyeloablative allogeneic hematopoietic stem cell transplant.

Mary D Thoma1, Tanya J Huneke, Lori J DeCook, Nicci D Johnson, Rob A Wiegand, Mark R Litzow, William J Hogan, Luis F Porrata, Shernan G Holtan.   

Abstract

Many previous studies of immune reconstitution (IR) postallogeneic hematopoietic stem cell transplantation (HSCT) have focused on lymphocyte recovery. Recognizing that IR involves complex interactions between innate and adaptive immune networks, we hypothesized that patterns of both monocyte and lymphocyte recovery could provide additional prognostic information. To test our hypothesis, we analyzed data from 135 consecutive patients undergoing myeloablative allogeneic HSCT for acute myeloid (AML) and lymphoblastic leukemia (ALL) from 2001 to 2010. The absolute lymphocyte and monocyte counts (ALC and AMC, respectively) were determined longitudinally at days +15, +30, +60, and +100, and correlated with clinical outcomes. At the day +30 time point, both ALC and AMC >0.3 × 10(9) cells/L were strongly associated with improved survival (overall survival [OS] 29.6 months versus 5.4 months, P = .006 and 25.3 months versus 5.1 months, P = .01 respectively), a pattern that generally continued through the day +100 evaluation. Multivariate analysis revealed the following independent prognostic factors: early disease status at transplantation, the development of chronic GVHD, the day +30 AMC, day +100 AMC, and day +100 ALC. To further explore whether any inherent patterns in the timing of lymphocyte and monocyte recovery had prognostic value post-HSCT, we performed unsupervised hierarchical clustering on the longitudinal hematopoietic parameters studied in this cohort. Four clusters of patients were identified: clusters A-D. Patient clusters B and D both demonstrated improved ALC and AMC recovery at the day +60 and day +100 time points and had significantly improved OS compared with clusters A and C (57.8 months versus 19.7 and 4.4 months, respectively, P < .001). Our data suggest that patients with poor lymphocyte and monocyte recovery beyond the day +60 time points may be at risk for poorer outcomes, and that further investigation into lymphoid/myeloid interactions in developing individualized immunotherapy is warranted.
Copyright © 2012 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21843495     DOI: 10.1016/j.bbmt.2011.08.007

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  20 in total

1.  Monocyte Subpopulation Recovery as Predictors of Hematopoietic Cell Transplantation Outcomes.

Authors:  Lucie M Turcotte; Qing Cao; Sarah A Cooley; Julie Curtsinger; Shernan G Holtan; Xianghua Luo; Ashely Yingst; Daniel J Weisdorf; Bruce R Blazar; Jeffrey S Miller; John E Wagner; Michael R Verneris
Journal:  Biol Blood Marrow Transplant       Date:  2019-01-06       Impact factor: 5.742

Review 2.  Biobehavioral influences on recovery following hematopoietic stem cell transplantation.

Authors:  Erin S Costanzo; Mark B Juckett; Christopher L Coe
Journal:  Brain Behav Immun       Date:  2012-07-20       Impact factor: 7.217

3.  Early lymphocyte recovery predicts clinical outcome after HSCT with mycophenolate mofetil prophylaxis in the Japanese population.

Authors:  Keiji Kurata; Kimikazu Yakushijin; Ishikazu Mizuno; Hiroshi Gomyo; Atsuo Okamura; Hiroya Ichikawa; Rina Sakai; Yu Mizutani; Seiji Kakiuchi; Yoshiharu Miyata; Akihito Kitao; Yukinari Sanada; Yumiko Inui; Kiyoaki Uryu; Shinichiro Kawamoto; Takeshi Sugimoto; Katsuya Yamamoto; Mitsuhiro Ito; Hiroshi Matsuoka; Tohru Murayama; Hironobu Minami
Journal:  Int J Hematol       Date:  2018-03-22       Impact factor: 2.490

4.  Clinical comorbidity predictive measures in ex vivo T-cell-depleted allogeneic hematopoietic stem cell transplantation.

Authors:  R Q Le; X Tian; N A Jain; K Lu; S Ito; D A Draper; P Anandi; C S Hourigan; N Dunavin; A John Barrett; M Battiwalla
Journal:  Bone Marrow Transplant       Date:  2015-05-18       Impact factor: 5.483

5.  Prognostic Analysis of Absolute Lymphocyte and Monocyte Counts after Autologous Stem Cell Transplantation in Children, Adolescents, and Young Adults with Refractory or Relapsed Hodgkin Lymphoma.

Authors:  Jorge Galvez-Silva; Ossama M Maher; Minjeong Park; Diane Liu; Fiorela Hernandez; Priti Tewari; Yago Nieto
Journal:  Biol Blood Marrow Transplant       Date:  2017-04-20       Impact factor: 5.742

6.  White blood cell recovery after allogeneic hematopoietic cell transplantation predicts clinical outcome.

Authors:  Haesook T Kim; David Frederick; Philippe Armand; Emily Andler; Grace Kao; Corey Cutler; John Koreth; Edwin P Alyea; Joseph H Antin; Robert J Soiffer; Jerome Ritz; Vincent T Ho
Journal:  Am J Hematol       Date:  2014-03-03       Impact factor: 10.047

7.  The prognostic role of the preoperative absolute lymphocyte count and absolute monocyte count in patients with resected advanced melanoma.

Authors:  Nicole M Rochet; Lisa A Kottschade; Travis E Grotz; Luis F Porrata; Svetomir N Markovic
Journal:  Am J Clin Oncol       Date:  2015-06       Impact factor: 2.339

8.  Monocyte recovery at day 100 is associated with improved survival in multiple myeloma patients who undergo allogeneic hematopoietic cell transplantation.

Authors:  B Dhakal; R Brazauskas; C A Lara; P Hari; M Pasquini; A D'Souza
Journal:  Bone Marrow Transplant       Date:  2015-10-12       Impact factor: 5.483

9.  Immune Monitoring during Therapy Reveals Activitory and Regulatory Immune Responses in High-Risk Neuroblastoma.

Authors:  Celina L Szanto; Annelisa M Cornel; Sara M Tamminga; Eveline M Delemarre; Coco C H de Koning; Denise A M H van den Beemt; Ester Dunnebach; Michelle L Tas; Miranda P Dierselhuis; Lieve G A M Tytgat; Max M van Noesel; Kathelijne C J M Kraal; Jaap-Jan Boelens; Alwin D R Huitema; Stefan Nierkens
Journal:  Cancers (Basel)       Date:  2021-04-26       Impact factor: 6.639

10.  MAIT cells numbers and frequencies in patients with acute myeloid leukemia at diagnosis: association with cytogenetic profile and gene mutations.

Authors:  Francois Vergez; Emmanuel Treiner; Thibault Comont; Marie-Laure Nicolau-Travers; Sarah Bertoli; Christian Recher
Journal:  Cancer Immunol Immunother       Date:  2021-09-03       Impact factor: 6.968

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