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Research Article

High pre-transplant TREC levels indicate good prognosis after hematopoietic stem cell transplantation

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 16 Dec 2015
Author details Author details
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Abstract

Background
Thymus-dependent T-cell reconstitution plays a role in immune recovery after stem cell transplantation (HSCT). High pre-HCST thymic function has been associated with higher survival, lower incidence of acute and chronic graft versus host disease (GVHD) and lower incidence of infections. The aim of this study was to analyze the relationship between pre-HSCT peripheral blood levels of T-cell receptor excision circles (TREC) and post-HSCT clinical events in recipients of HLA-identical hematopoietic stem cell transplants.
Method
Delta deletion signal joint TRECs (sjTRECs) formed by the dREC-yJa rearrangement were quantified by real time PCR in peripheral blood lymphocytes of 62 HSCT recipients.
Results
Univariate analysis revealed an association between low TREC levels and a higher incidence of grade II-IV acute GVHD (p=0.026), bacterial infection (p=0.005) and cytomegalovirus infection (p=0.033), whereas high TREC levels were associated with higher overall survival (p=0.028). In the multivariate analysis, low pre-HSCT TREC levels remained independently associated with lower survival (p=0.032; RR 2.6), occurrence of grade II-IV acute GVHD (p=0.031; RR: 2.5), bacterial infection (p=0.006, RR: 6.6) and cytomegalovirus infection (p=0.039; RR:2.8).
Conclusion
Our results corroborate the concept that pre-HSCT recipient´s thymic function is an important predictor of risk for acute grade II-IV GVHD and infection.

Keywords

T cell receptor excision circle, thymic function, stem cell transplantation

Introduction

Although a hematopoietic stem cell transplant (HSCT) is an effective treatment for several types of malignant blood diseases, it can cause a number of different side effects, mainly related to opportunistic infections and graft versus host disease (GVHD). The immediate post-transplant period is followed by severe immunodeficiency resulting in persistent susceptibility to infection15. Even more prolonged immunodeficiency arises from inadequacy in effective CD4+ T-cell and B cell reconstitution69. Regeneration of adequate T-cell numbers and repertoire are key elements in the recovery of immunity, required for protection against infection10.

Post-transplant T-cells are derived from mature T-cells present in the donor graft, and T-cells developing de novo in the recipient from donor stem cells. It is likely that the latter pathway of differentiation leads to long-term immune reconstitution11,12. It has been suggested that the reconstitution and maintenance of effective T-cell immunity after HSCT is dependent on education about T-cell precursors in the thymus, as shown by the correlation between increased thymic output and an increment in naïve T-cells, and broader TCR repertoires after transplantation1315. Factors that can delay thymic function include age, cell source, histocompatibility leukocyte antigen mismatches, GVHD and direct thymic damage from chemoradiotherapy11,1619.

The production of a functional T-cell receptor requires the deletion of the TCRδ gene, which is positioned within the TCRα- locus20. The deleted TCRδ-genes remain present as extrachromosomal circular products called signal joints T-cell receptor excision circles (sjTRECs). These products are stable21, are not duplicated during mitosis, and are therefore diluted with each cellular division22. Thus, sjTRECs are markers of developmental proximity to the thymus, and their concentrations in peripheral blood can be used to estimate thymic output and evaluate thymic function in patients after stem cell transplantation23.

It has been reported that TREC levels correlate to post-transplant outcomes18,24,25. Several factors affecting thymic output have been suggested, but there is still some controversy11,2628. Herein we tested whether pre-transplant thymic function, assessed by the quantification of TRECs in the peripheral blood, may predict a prognosis in the setting of HLA-identical HSCT with a large prevalence of high risk disease. Furthermore, we also assessed TREC levels before and during acute GVHD.

Materials and methods

Patients, donors and transplantation characteristics

Over a consecutive 54-month period, 62 allogeneic stem cell transplant recipients from the UNIFESP (Bone Marrow Transplant Unit of Sao Paulo Hospital and Pediatric Bone Marrow Transplant Unit of the Pediatric Institute of Oncology) and Santa Marcelina Hospital, Brazil, between 2003 and 2007, were included. The group was comprised of children and adults who received a myeloablative preparative regimen and unmanipulated bone marrow or peripheral blood stem cell graft from an HLA-matched related donor. Patients submitted a stem cell transplant with a T-cell depleted graft and children with severe combined immunodeficiency were excluded. The risk of disease was classified based on the International Bone Marrow Transplant Register criteria (www.cibmtr.org). Patients’ characteristics, treatment and complications after transplantation are summarized in Table 1. This study was approved by the Institutional Medical Ethics Committee (number CEP 0532/02) and all patients or guardians gave informed consent before their enrollment.

Table 1. Patients characteristics.

CharacteristicsN=62
Recipient age, median (range) 26(2–58)
Age over 25 y 31
Diagnosis, n
Acute Limphoblastic Leukemia
Acute Myeloid Leukemia
Myelodysplastic Syndrome
Aplastic Anemia
Hodgkin disease
Chronic Myeloid Leukemia
Non Hodgkin Lymphoma

12
16
7
6
2
9
10
Risk Disease*, n
Nonmalignant
Malignant low risk
Malignant intermediate risk
Malignant high risk


6
25
14
17
GVHD Prophylaxys, n
CSA + MTX
CSA
Others

42
13
7
Conditioning Regimen, n
Bussulphan based
TBI based
Others

39
13
10
Engraftment in days, median (range) 14(10–25)
Median cells infused (range)
TNC/Kg x108
CD34/Kg x106

7.0(2.3–11)
4.9(2.1–12)
Cells Source
Bone Marrow
Peripheral blood stem cell

30
32
Major ABO incompatibility 13
Acute GVHD
Absent
Grade I
Grade II-IV

31
8
23
Chronic GVHD
Absent
Localized
Extensive

18
11
23
Cytomegalovirus reactivation 22
Severe Bacterial Infection 14
Fungical infection 3
Relapse 6
Follow up in months, median (range) 18(0.5–60)

CSA – cyclosporine, MTX – methotrexate, TBI – total body irradiation, TNC – total nucleated cell, GVHD – graft versus host disease.

GVHD prophylaxis, supportive care and end points

GVHD prophylaxis consisted predominantly of cyclosporine or cyclosporine and short course methotrexate. Cyclosporine levels were monitored weekly and kept at the therapeutic range of 150-300 ng/dl during the first 60 days, and then the drug dose was continuously tapered through the next 180 days, until a complete suspension, depending on disease status at the time of transplantation and the presence or absence of GVHD. Antibacterial, antifungical and antiviral prophylaxis consisted of 160mg of trimethoprim-sulfamethoxazol 3 times/week on alternative days for Pneumocistis jiroveci, fluconazole 150mg once/day for fungical prophylaxis and acyclovir 400mg twice/day or valcyclovir 500mg twice/day for Herpes simplex Surveillance cytomegalovirus (CMV) antigenemia testing was performed for all patients. Diagnosis and clinical grading of acute and chronic GVHD were performed according to established criteria2931. Bacterial, cytomegalovirus and fungical infection, sepsis and septic shock were defined according to previously established criteria3234.

Sample collection

Buffy coat samples were obtained and frozen before the conditioning regimen for the 62 patients. Thirty-one patients developed acute GVHD, and we were able to collect samples within 2 weeks before acute GVHD, and in ongoing GVHD from 16 of these patients. A control group was composed of 27 healthy donors from whom peripheral blood or bone marrow was collected before G-CSF stimulation.

Clinical data

Sixty-two patients received a myeloablative conditioning regimen followed by allogeneic HCT (Table 1). During the follow-up period of 18 months, among all patients, there were 14 severe bacterial infections, 22 CMV infections, six relapses and three fungical infections. Acute GVHD (aGVHD) occurred in 31 patients, and the incidence of grade I, II and III-IV was 13%, 18% and 19%, respectively. Among the 52(83.8%) who survived for at least 100 days after transplantation, 34(65%) developed chronic GVHD (cGVHD). As the number of relapses and fungal infection were low in our cohort, we focused the analysis on overall survival and occurrence of GVHD and severe bacterial infections.

Relative quantification of sjTREC by real-time –PCR

To perform the TREC assay, total DNA was extracted from buffy-coat by the DTAB/CTAB method (dodecyl trimethyl-ammonium bromide/cetyl trimethyl-ammonium bromide)35, and DNA concentrations were adjusted to 100ng/ul. One μl of DNA was used in all reactions. Delta deletion sjTRECs formed by δREC- ψJα rearrangement were amplified and quantified using SYBR-Green PCR Master Mix and an ABI 7000 instrument (Applied Biosystems, Foster City, CA). The standard curve was generated as previously described36. Primers for sjTRECs were: forward primer (5’CATCCCTTTCAACCATGC’3) and reverse primer (5’CGTGCCTAAACCCTGCAGC’3), which produced an approximately 102 base-pair product. To improve TREC detection, two steps of amplification were performed. The first PCR conditions were: 50°C for 2 minutes and 95°C for 10 minutes, followed by 10 cycles of 95°C for 15 seconds and 63°C for 1 minute. Afterwards, 1ul was utilized in second-step amplification. The second PCR conditions were: 95°C for 10 minutes followed by 40 cycles of 95°C for 15 seconds and 63°C for 1 minute. TREC values obtained by RT-PCR were normalized by the proportion of lymphocytes in the blood cell count. This count was performed in the same peripheral blood sample that was utilized for DNA isolation. All DNA samples were amplified in triplicate and universal PCR precautions were taken to avoid amplicon contaminations along with negative control reactions.

Statistical analysis

A receiver-operating-characteristic (ROC) curve was used to obtain the most discriminating overall survival cut-off for TREC values. Correlation between Gaussian distribution variables was calculated with Spearman correlation. Survival analysis was calculated using Kaplan-Meier plot and log rank test. Cumulative incidence analysis was calculated using death as a competing event for infections, acute or chronic GVHD. Cox proportional hazard model analysis was used to identify independent risk factors for death, infection, and acute or chronic GVHD, reviewed in the context of hematopoietic cell transplantation37. The variables included in the model were those that were marginally significant, p-value ≤ 0.10, in the univariate analyses. Non-parametric (Wilcoxon and Mann-Whitney) tests were utilized to compare TREC levels between patients with high and low disease risk, and before and during ongoing acute GVHD. All p values were two tailed and a value <0.05 was considered to indicate statistical significance. The analysis was done using the SPSS v10.0 Statistical Software (Chicago, Illinois, 1992).

Results

Correlation between TREC levels and age

Because we used a modified assay for TREC detection, we first wanted to confirm that it gives similar results to previous studies38,39. To this end, we analyzed the relationship between TREC levels and age and, as expected, observed a highly significant negative correlation in healthy control individuals as well as in patients before transplantation (r=-0.46 and r=-0.70, respectively; p≤0.0001).

TREC levels and high/low risk disease

Although the pre-transplant TREC levels have been previously associated with post-transplant prognosis24, we sought to repeat this analysis in our population of patients because it had a much bigger proportion of malignant high-risk diseases (27% vs 1% in 24). Indeed, we observed higher levels of TRECs in patients with no high-risk disease (nonmalignant, low and intermediate risk) compared to high-risk disease patients in both adult and children populations (p<0.001, Figure 1A and Figure 1B), thus making critical the inclusion of this factor in further analysis.

9a79acd0-5b60-44d5-b767-39c8a88a0889_figure1.gif

Figure 1.

A) Comparison of TRECs levels between high-risk disease (n=7) and others (nonmalignant, low and intermediated risk disease; n=24) in children before stem cell transplantation (p<.001). B) Comparison of TRECs levels between high risk disease (n=10) and others (nonmalignant, low and intermediated risk disease; n=21) and in adults before stem cell transplantation (p<.001).

TREC levels and survival

Using the receiver-operating-characteristic (ROC) curve, we found a cut-off value of 134 TREC/µg of lymphocyte DNA that discriminated between patients that survived or not for at least 6 months after transplantation (65% of sensitivity and 60% of specificity). Based on this cut-off, patients were divided into “high” and “low” TREC groups. We observed higher survival in “high” TREC group (p=0.028) (Figure 2) with almost twice the survivors in the “high” TREC group vs the “low” TREC group at 18 months after transplantation (65% vs. 37%, respectively). Applying a multivariate analysis including TREC level, cell source (peripheral blood), recipient age (>25 years), ABO incompatibility, sex mismatch, and high risk disease, we found that worse survival was independently associated (p<0.05) to low TREC values before transplantation (RR: 2.6) and high risk disease (RR: 2.2) (Table 2).

9a79acd0-5b60-44d5-b767-39c8a88a0889_figure2.gif

Figure 2. Overall survival after stem cell transplantation stratified by TREC levels.

Patients with high TREC (n=35) are shown as a solid line, while the patients with low TREC (n=27) are plotted as a dashed line. Log rank p=.028.

Table 2. Cox Model Analysis.

UnivariateMultivariate
pRRCIp
Overall Survival
Low TREC
Age more than 25y
F→M vs others
Peripheral blood vs bone marrow
High risk disease vs others
ABO Incompatibility

0.028
0.47
0.64
0.13
0.05
0.26

2.6
----
----
----
2.2
----

1.1-6.3
----
----
----
1.1-4.7
----

0.032
0.39
----
----
0.044
----
Grade II-IV Acute GVHD
Low TREC
Age more than 25y
F→M vs others
Peripheral blood vs bone marrow
High risk disease vs others
ABO Incompatibility

0.026
0.036
0.035
0.40
0.02
0.26

2.5
----
----
----
5.2
----

1.3-5.9
----
----
----
1.2-5.9
----

0.031
0.15
0.94
----
0.025
----
Extensive Chronic GVHD
Low TREC
Age more than 25y
F→M vs others
Peripheral blood vs bone marrow
High risk disease vs others
ABO Incompatibility

0.48
0.008
0.42
0.005
0.51
0.19

----
----
----
----
----
----

----
----
----
----
----
----

0.54
0.11
----
0.14
----
----
Bacterial Infection
Low TREC
Age more than 25y
F→M vs others
Peripheral blood vs bone marrow
High risk disease vs others
ABO Incompatibility

0.005
0.090
0.69
0.037
0.36
0.43

6.6
----
----
4.2
----
----

1.7-25
----
----
1.2-15.6
----
----

0.006
0.95
----
0.028
----
----
Cytomegalovirus Infection
Low TREC
Age more than 25y
F→M vs others
Peripheral blood vs bone marrow
High risk disease vs others
ABO Incompatibility

0.033
0.15
0.65
0.93
0.16
0.23

2.8
----
----
----
----
----

1.4-5.7
----
----
----
----
----

0.039
0.59
----
----
----
----

(F→M) denotes female donor into male recipient, RR indicates relative ratio

95% CI, 95% confidence interval

We also observed a higher incidence of grades II-IV aGVHD (Figure 3) among low TREC patients (p=0.02), with the incidence of aGVHD grade II-IV in high and low TREC groups of 25.7% and 57.8%, respectively. Multivariate analysis showed that low TREC levels (RR 2.5, p<0.03) and the antecedent of high risk disease (RR: 5.2 p<0.025) were independently associated with an increased incidence of aGVHD grades II-IV (Table 2).

9a79acd0-5b60-44d5-b767-39c8a88a0889_figure3.gif

Figure 3. Cumulative incidence of acute GVHD (%) in the low-level TREC (n=27) group compared with the high-level group (n=35).

Patients with high TREC are shown as a solid line, while the patients with low TREC are plotted as a dashed line. Log rank p=.026.

Although we did not find an association between TREC levels and cGVHD, the expected associations of cGVHD with age4042 and source of cells for transplant4345 were detected (Table 2).

TREC levels and infections

Next we performed the same analysis for bacterial and cytomegalovirus infection. There was a higher incidence of severe bacterial infection in the low TREC (42%) compared to the high TREC (8.5%) group (p=0.005) (Figure 4). Considering other variables, only low TREC level and peripheral blood as a source of transplant independently associated to bacterial infections (RRs: 6.6 and 4.2, respectively) (Table 2). CMV infection was also more frequently observed in the low TREC patients (63% vs. 22%, p<0.03) (Figure 5). Furthermore, low TREC values before transplantation and high risk disease had independent impact on the incidence of CMV infection (Table 2).

9a79acd0-5b60-44d5-b767-39c8a88a0889_figure4.gif

Figure 4. Cumulative incidence of bacterial infection in the low level TREC (N=27) group compared with the high level group (N=35).

Patients with high TREC are shown as a solid line, while the patients with low TREC are plotted as s dashed line Log rank p=.005.

9a79acd0-5b60-44d5-b767-39c8a88a0889_figure5.gif

Figure 5. Cumulative incidence of cytomegalovirus infection in the low-level TREC (n=27) group compared with the high-level group (n=35).

Patients with high TREC are shown as a solid line, while the patients with low TREC are plotted as a dashed line. Log rank p=.027.

Post-transplant TREC levels in relation to acute GVHD

With the result of pre-transplant thymus function associated with aGVHD, we wondered if thymus output after transplantation (i.e. TREC levels) would also be related to aGVHD. For this purpose we assessed TRECs levels in blood samples collected before (pre-aGVHD) and during aGVHD from 16 patients. The time period between pre-aGVHD and aGVHD samples was 11.5±8 days. Comparing TREC levels between pre-aGVHD and aGVHD samples, we observed increased levels during aGVHD (147 vs. 480 TRECs/µg of lymphocyte DNA, p=0.015). One could suggest that this difference may be explained by the gradual increase in TREC levels after transplantation. In which case, the more time between pre-aGVHD and GVHD samples, the larger the increment in TREC levels. The analysis, however, showed no correlation between distance in time and TREC levels (Dataset 1). In addition, there was no correlation between the number of days after transplantation (17 to 49 days) and TREC levels in this time period. This indicates that we have observed an increase in TREC levels associated with aGVHD independently on the overall increase in TREC levels after transplantation reported previously25,46.

Dataset 1.Dataset 1. sjTREC before transplant - patient dataset.
http://dx.doi.org/10.5256/f1000research.7330.d108555 1. Patient: patient’s number after anonymization2. Age: patient’s age in years3. sjTREc copies: TRECs copynumber before transplantation4. Diagnosis: disease that motivated the transplant indication5. Donor gender: gender of donor6. Receptor gender: gender of receptor7. ABO donor: ABO blood group in donor8. ABO receptor: ABO blood group in receptor before transplantation9. Cell source: cell source from donor (peripheral blood or bone marrow)10. Conditioning regimen: chemotherapy and/or radiotherapy utilized before stem cell infusion (Flu- fludarabine; Cy – cyclophosphamide; Mel – melphalan; TBI – total body irradiation; VP – etoposide )11. GVHD prophylaxis: drugs utilized to prevent acute graft versus host disease (CSA – cyclosporine; MTX – methotrexate and Metylprednisolone)12. Acute GVHD grading: Glucksberg criteria for acute GVHD classification13. Diagnosis Acute GVHD II-IV -days after transplant: when the diagnosis of acute GVHD was performed after transplantation (in days).14. CMV reactivation: occurrence or not of cytomegalovirus reaction after stem cell transplantation15. CMV reactivation after transplant, days: when the diagnosis of cytomegalovirus reactivation was performed after transplantation (in days)16. Bacterial infection: ocurrency or not of bacterial infection after stem cell transplantation17. Bacterial infections after tranplant, days: when the diagnosis of bacterial infection was performed after transplantation (in days)18. Extensive chronic GVHD: ocurrency or not of extensive chronic graft versus host disease after stem cell transplantation19. Extensive Chronic GVHD diagnosis, days after transplant: when the diagnosis of extensive chronic graft versus host disease was performed after transplantation (in days)20. Follow up, in months: follow up after stem cell transplantation (in months)21. Status : patient status after transplantation (alive or death)sjTREC pre and ongoing aGVHD before spreadsheet 1. Patient: patient’ number after anonymization2. Acute GVHD diagnosis, days: when the diagnosis of acute GVHD was performed after transplantation (in days).3. Sample collected before aGVHD, days: number of the days before emergence of acute GVHD when the sample was harvested4. Sample collected - Ongoing GVHD, days: the day after stem cell transplant when the sample was harvested. All patients was under acute GVHD activity5. Steroids use, days: number of the days under steroids use when the sample was harvested.6. Grade acute GVHD: Glucksberg criteria for acute GVHD classification7. Pre acute GVHD: sjTREC copies number before acute GVHD patient8. Ongoing acute GVHD: sjTREC copies number in ongoing acute GVHD patient9. Corticoids pre acute GVHD: if patient had taken steroids before acute GVHD diagnosis10. Corticoids ongoing GVHD: if patient was taking steroids when the acute GVHD diagnosis was performed.

Discussion

It has been postulated that a good immune reconstitution after HSCT means a better prognosis for the patients under stem cell transplantation47,48. The evaluation of immune reconstitution assessed by TREC quantification has been a matter of research. Here we analyzed the impact of pre-transplant thymic function in patients undergoing an HSCT. Although it has been reported that TREC levels correlate to post-transplant outcome5,18,24,25,49 it was not clear whether these observations are results of association of TREC levels with the severity of disease risk, especially considering a strong relation between disease risk and TREC levels (Figure 1A and 1B). In contrast to previously published work24, we analyzed a cohort of patients with a much higher proportion of malignant high-risk diseases, which allowed us to address the above mentioned concern. Thus, our results suggest that TREC levels is an independent marker for complications after HSCT.

Interestingly, we found that low TREC levels were associated with a higher probability of bacterial infection and aGVHD. This suggests that TREC levels are not just associated with high or low T-cell response after transplantation, but rather reflect an overall response to damage as well as potential capacity to establish immune homeostasis after transplantation. Indeed, in the setting of high-risk disease, patients were treated prior to transplantation with multiples cycles of chemotherapy and/or radiotherapy, potential contributors to thymic injury. Cortical and medullary thymic epithelial cells are dramatically altered after radiotherapy and chemotherapy14,50 as damage of thymic stroma precludes normal thymocyte development51 and probably the generation of TRECs.

Diminished levels of TRECs have been reported during chronic GVHD, or with a previous history of acute or chronic GVHD10,11. However, others studies have failed to demonstrate a direct association between TRECs levels and acute or chronic GVHD46,52. In a mouse model of aGVHD, TRECs levels were analyzed in the spleen and thymus, but not in blood, making difficult the direct comparison of these experiments in mice with our results53. TREC levels during acute GVHD have not been reported in patients. We, however, observed an increase of TREC levels during ongoing acute GVHD in comparing to the TREC levels two weeks before aGVHD. Interestingly, herein observed increases in TREC levels during acute GVHD are very similar to our previous observation of increased TREC levels during acute cardiac rejection38 suggesting that similar events may be occuring in these two pathological processes in the blood. The explanation for these results, on one hand, could be an increased output of TREC positive naïve T-cells into circulation, stimulated by the ongoing immune response25. On the other hand, this result might indicate the exit of activated/effector cells from the circulation into target tissues and a consequent increase in a naïve T-cell pool in the blood. Keeping in mind the limitations of our analysis (a small number of patients and an indirect comparison), additional research is necessary in order to draw definitive conclusions about changes in post-transplant TREC levels in relation to aGVHD.

In this work we demonstrated a relatively easy way of normalizing TREC values determined by RT-PCR, without the concomitant need for flow cytometry to estimate the numbers of CD3+ cells. Notably, a cut-off established by ROC-curve analysis, which could discriminate between a good or bad prognosis, was similar to the value found at the 60th percentile, after TREC values distribution in percentiles from published works24,25. Using our cut-off, we observed very similar results when compared to published results in relation to survival, acute GVHD, bacterial and CMV infections24. Finally, we have shown disease risk as one the most important sources of TREC level variability in patients before HSCT. Further studies should consider this factor in order to establish how TREC levels can be used in diagnostics.

In conclusion, our results further support the idea that the thymic competence before transplantation is a critical factor for a good prognosis after hematopoietic stem cell transplantation.

Data availability

F1000Research: Dataset 1. sjTREC before transplant - patient dataset, 10.5256/f1000research.7330.d108555

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de Moraes Arantes A, Kawemura K, Seber A et al. High pre-transplant TREC levels indicate good prognosis after hematopoietic stem cell transplantation [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2015, 4:1458 (https://doi.org/10.12688/f1000research.7330.1)
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
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Reviewer Report 11 Jan 2016
John Wagner, Blood and Marrow Transplant Program, University of Minnesota, Minneapolis, MN, USA 
Approved with Reservations
VIEWS 16
The paper presented by de Moraes Arantes et al. corroborates those of others that suggest the potential significance of pretransplant TREC levels on, infection, GVHD and survival outcomes after allogeneic transplant. While very interesting, it is difficult to make firm conclusions considering ... Continue reading
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Wagner J. Reviewer Report For: High pre-transplant TREC levels indicate good prognosis after hematopoietic stem cell transplantation [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2015, 4:1458 (https://doi.org/10.5256/f1000research.7899.r11689)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 30 Dec 2015
Richard Champlin, Department of Stem Cell Transplantation and Cellular Therapy, University of Texas MD Anderson Cancer Center, Houston, TX, USA 
Approved
VIEWS 18
The authors examine the effect of pre transplant TREC levels and outcome of hematopoietic transplantation.  TRECs are new thymic emigrants and are related to thymic function.
 
Critique

The authors confirm the findings reported by Clave et al ten years ago (their reference ... Continue reading
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HOW TO CITE THIS REPORT
Champlin R. Reviewer Report For: High pre-transplant TREC levels indicate good prognosis after hematopoietic stem cell transplantation [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2015, 4:1458 (https://doi.org/10.5256/f1000research.7899.r11691)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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