Literature DB >> 30630534

Allogeneic hematopoietic cell transplantation provides effective salvage despite refractory disease or failed prior autologous transplant in angioimmunoblastic T-cell lymphoma: a CIBMTR analysis.

Narendranath Epperla1, Kwang W Ahn2, Carlos Litovich2, Sairah Ahmed3, Minoo Battiwalla4, Jonathon B Cohen5, Parastoo Dahi6, Nosha Farhadfar7, Umar Farooq8, Cesar O Freytes9, Nilanjan Ghosh10, Bradley Haverkos11, Alex Herrera12, Mark Hertzberg13, Gerhard Hildebrandt14, David Inwards15, Mohamed A Kharfan-Dabaja16, Farhad Khimani17, Hillard Lazarus18,19, Aleksandr Lazaryan17, Lazaros Lekakis18,19, Hemant Murthy20, Sunita Nathan21, Taiga Nishihori17, Attaphol Pawarode22, Tim Prestidge23, Praveen Ramakrishnan24, Andrew R Rezvani25, Rizwan Romee26, Nirav N Shah27, Ana Sureda28, Timothy S Fenske27, Mehdi Hamadani29,30.   

Abstract

BACKGROUND: There is a paucity of data on the role of allogeneic hematopoietic cell transplantation (allo-HCT) in patients with angioimmunoblastic T-cell lymphoma (AITL). Using the CIBMTR registry, we report here the outcomes of AITL patients undergoing an allo-HCT.
METHODS: We evaluated 249 adult AITL patients who received their first allo-HCT during 2000-2016.
RESULTS: The median patient age was 56 years (range = 21-77). Majority of the patients were Caucasians (86%), with a male predominance (60%). Graft-versus-host disease (GVHD) prophylaxis was predominantly calcineurin inhibitor-based approaches while the most common graft source was peripheral blood (97%). Median follow-up of survivors was 49 months (range = 4-170 months). The cumulative incidence of grade 2-4 and grade 3-4 acute GVHD at day 180 were 36% (95% CI = 30-42) and 12 (95% CI = 8-17), respectively. The cumulative incidence of chronic GVHD at 1 year was 49% (95%CI 43-56). The 1-year non-relapse mortality (NRM) was 19% (95% CI = 14-24), while the 4-year relapse/progression, progression-free survival (PFS), and overall survival (OS) were 21% (95% CI = 16-27), 49% (95% CI = 42-56), and 56% (95% CI = 49-63), respectively. On multivariate analysis, chemoresistant status at the time of allo-HCT was associated with a significantly higher risk for therapy failure (inverse of PFS) (RR = 1.73 95% CI = 1.08-2.77), while KPS < 90% was associated with a significantly higher risk of mortality (inverse of OS) (RR = 3.46 95% CI = 1.75-6.87).
CONCLUSION: Our analysis shows that allo-HCT provides durable disease control even in AITL patients who failed a prior auto-HCT and in those subjects with refractory disease at the time of allografting.

Entities:  

Keywords:  Allogeneic transplantation; Angioimmunoblastic T-cell lymphoma; GVL effects

Year:  2019        PMID: 30630534      PMCID: PMC6329157          DOI: 10.1186/s13045-018-0696-z

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


Background

Angioimmunoblastic T-cell lymphoma (AITL) represents a distinct clinicopathologic entity among the mature T- and NK-cell neoplasms, accounting for approximately 1–2% of all non-Hodgkin lymphomas (NHLs) [1, 2]. AITL patients typically present with advanced stage disease, diffuse lymphadenopathy, hepatosplenomegaly, systemic symptoms, and hypergammaglobulinemia [3]. The clinical course is aggressive and the disease generally carries a poor prognosis even when treated with intensive induction regimens [3]. Standard first-line therapy mostly consists of anthracycline-based regimens with or without etoposide, based on the age [2, 4–6]. With this approach, overall survival (OS) is a little over 30% at 5 years [7]. In an attempt to improve the outcomes, autologous hematopoietic cell transplantation (auto-HCT) consolidation has been applied in this patient population [8-10]. While durable disease control can be observed typically in patients in first complete remission (CR), the outcomes of AITL subjects in partial remission (PR), and in those with refractory disease or treated with ≥ 2 prior therapy lines, following auto-HCT are less encouraging [10]. Allogeneic HCT (allo-HCT) may result in a lower risk of relapse in part due to a graft-versus-lymphoma effect mediated by the alloreactive donor cells [11-13]. Several retrospective studies [11, 14–16] have reported excellent disease control with low rates of relapse and a 1-year non-relapse mortality (NRM) ranging from 8 to 25% with allo-HCT in AITL patients. However, these analyses were done mainly in peripheral T-cell lymphoma (PTCL) patients with AITL as a subgroup or reported only a small number of patients with AITL (range N = 9–45 patients; Additional file 1: Table S1). We report here a registry analysis, evaluating the outcomes of patients with AITL undergoing allo-HCT.

Methods

Data sources

The Center for International Blood and Marrow Transplant Research (CIBMTR) is a working group of more than 500 transplantation centers worldwide that contribute detailed data on HCT to a statistical center at the Medical College of Wisconsin (MCW). Participating centers are required to report all transplantations consecutively and compliance is monitored by on-site audits. Computerized checks for discrepancies, physicians’ review of submitted data, and on-site audits of participating centers ensure data quality. Observational studies conducted by the CIBMTR are performed in compliance with all applicable federal regulations pertaining to the protection of human research participants. The MCW and National Marrow Donor Program, Institutional Review Boards approved this study. The CIBMTR collects data at two levels: transplant essential data (TED) and comprehensive report form (CRF) data. TED data includes disease type, age, gender, pre-HCT disease stage and chemotherapy-responsiveness, date of diagnosis, graft type, conditioning regimen, post-transplant disease progression and survival, development of a new malignancy, and cause of death. All CIBMTR centers contribute to TED data. More detailed disease and pre- and post-transplant clinical information is collected on a subset of registered patients selected for CRF data by a weighted randomization scheme. TED- and CRF-level data are collected pre-transplant, 100-days, and 6 months post-HCT and annually thereafter or until death. Data for the current analysis were retrieved from CIBMTR (TED and CRF) report forms.

Patients

Included in this analysis are adult (≥ 18 years) patients with AITL, undergoing their first allo-HCT between 2000 and 2016. Eligible donors included either HLA-identical sibling donors or unrelated donors (URD) matched at the allele-level at HLA-A, -B, -C, and -DRB1 and graft sources included peripheral blood and bone marrow. Graft-versus-host disease (GVHD) prophylaxis included both calcineurin inhibitor (CNI) and non-CNI-based regimens. Recipients of alternative donor transplantation were excluded due to small numbers (haploidentical allografts, n = 8; mismatched unrelated donor, n = 22; cord blood grafts, n = 21).

Definitions and study endpoints

The intensity of conditioning regimens was defined using consensus criteria [17]. Disease response at the time of HCT was determined using the International Working Group criteria in use during the era of this analysis [18]. The primary endpoint was OS; death from any cause was considered an event and surviving patients were censored at last contact. Secondary endpoints included cumulative incidence of acute GVHD, chronic GVHD, GVHD free, relapse-free survival (GRFS), NRM, progression/relapse, and progression-free survival (PFS). NRM was defined as death without evidence of lymphoma progression/relapse; relapse was considered a competing risk. Progression/relapse was defined as progressive lymphoma after HCT or lymphoma recurrence after a CR; NRM was considered a competing risk. For PFS, a patient was considered treatment failure at the time of progression/relapse or death from any cause. Patients alive without evidence of disease relapse or progression were censored at last follow-up. Acute GVHD [19] and chronic GVHD [20] were graded using standard criteria. Neutrophil recovery was defined as the first of three successive days with absolute neutrophil count (ANC) ≥ 500/μL after post-transplantation nadir. Platelet recovery was defined as achieving platelet counts ≥ 20,000/μL for at least 3 days, unsupported by transfusion. For neutrophil and platelet recovery, death without the event was considered a competing risk. The causes of death are reported in accordance to the methodology described previously [21].

Statistical analysis

Probabilities of PFS and OS were calculated using the Kaplan–Meier estimates. Cumulative incidence of NRM, lymphoma progression/relapse, and GVHD were calculated to accommodate for competing risks. Associations among patient-, disease-, and transplantation-related variables and outcomes of interest were evaluated using Cox proportional hazards regression. A stepwise model-building approach was used to identify covariates that influenced outcomes. Covariates with a p < 0.05 were considered statistically significant. The proportional hazards assumption for Cox regression was tested by adding a time-dependent covariate for each risk factor and each outcome. If a variable violated the proportional hazards assumption, it was added as a time-varying covariate. Interactions between the main effect and significant covariates were examined and none were found. Results are expressed as relative risks (RR). The center effect was examined using the random effect score test [22] for OS, PFS, relapse, and NRM. The variables considered in multivariate analysis are shown in Additional file 1: Table S2 of the supplemental appendix. All statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC).

Results

Baseline characteristics

A total of 249 patients met the inclusion criteria and were included in this analysis. The baseline patient-, disease-, and transplantation-related characteristics are shown in Table 1. The median patient age was 56 years (range = 21–77 years). Most of the patients were Caucasians (86%), with a male (60%) predominance. The majority had a chemosensitive disease at the time of allo-HCT (79%) and received a non-myeloablative/reduced intensity conditioning regimen (73%). Most common type of GVHD prophylaxis included CNI ± methotrexate-based regimens. The graft source used for allo-HCT was predominantly peripheral blood (97%). Pre-transplant (allo-HCT) donor/recipient cytomegalovirus status was available in 200 patients (81%) and the details are provided in Table 1. There was no center effect noted on the outcomes. Median follow-up of survivors was 49 months (range, 4–170 months).
Table 1

Baseline patient characteristics of patients with AITL receiving first allo-HCT reported to the CIBMTR from 2000 to 2016

VariableN = 249 (%)
Median age at HCT, years (range)56 (21–77)
Male gender150 (60)
Race
 Caucasian214 (86)
 African American5 (2)
 Othersa17 (7)
 Missing13 (5)
Karnofsky performance score ≥ 90119 (48)
 < 90113 (45)
 Missing17 (7)
HCT-CI
 046 (18)
 1–253 (21)
 ≥ 384 (34)
 Not available before 200755 (22)
 Missing11 (4)
Interval from diagnosis to HCT, months
 Median (range)14 (3–118)
Median lines of therapy before HCT (range)3 (1–5)
Remission status at HCT
 Complete remission108 (43)
 Partial remission90 (36)
 Chemorefractory38 (15)
 Untreated/unknown13 (5)
History of prior autologous HCT98 (39)
TBI in conditioning83 (34)
ATG/alemtuzumab in conditioningb59 (24)
Conditioning intensityc
 Myeloablative conditioning66 (27)
 Non-myeloablative/RIC183 (73)
Graft source
 Bone marrow8 (3)
 Peripheral blood241 (97)
Donor type
 HLA-identical sibling140 (56)
 Unrelated donor 8/8109 (44)
Donor/recipient CMV status
 Both negative72 (29)
 Both positive59 (24)
 Either donor/recipient +69 (28)
 Missing49 (19)
Graft-versus-host disease prophylaxis
 Calcineurin inhibitor + MTX ± othersd (except MMF)119 (48)
 Calcineurin inhibitor + MMF ± othersd76 (31)
 Calcineurin inhibitor + others (except MMF)40 (16)
 Othersd10 (4)
 Missing4 (2)
Year of HCT
 2000–200647 (19)
 2007–201182 (33)
 2012–2016120 (48)
Median follow-up of survivors (range), months49 (4–170)

ATG antithymocyte globulin, CMV cytomegalovirus, HCT hematopoietic cell transplantation, HCT-CI HCT-Comorbidity index, MMF mycophenolate mofetil, MTX methotrexate, TBI total body irradiation, RIC reduced intensity conditioning

aOthers: 13 Asian; 3 Hispanic or Latino; 1 race unspecified, non-Hispanic

bATG/alemtuzumab—49 ATG alone; 10 alemtuzumab alone

cFor details, refer to Additional file 1: Table S4

dFor details, refer to Additional file 1: Table S5

Baseline patient characteristics of patients with AITL receiving first allo-HCT reported to the CIBMTR from 2000 to 2016 ATG antithymocyte globulin, CMV cytomegalovirus, HCT hematopoietic cell transplantation, HCT-CI HCT-Comorbidity index, MMF mycophenolate mofetil, MTX methotrexate, TBI total body irradiation, RIC reduced intensity conditioning aOthers: 13 Asian; 3 Hispanic or Latino; 1 race unspecified, non-Hispanic bATG/alemtuzumab—49 ATG alone; 10 alemtuzumab alone cFor details, refer to Additional file 1: Table S4 dFor details, refer to Additional file 1: Table S5

Hematopoietic recovery

On univariate analysis, the cumulative incidence of neutrophil engraftment at 1-year was 97% (95% CI 94–99). The 1-year cumulative incidence of platelet recovery (Table 2) was 91% (95% CI 87–94).
Table 2

Univariate Analysis

OutcomesN EvalProb (95% CI)
Neutrophil engraftment 236
 1-year97 (94–99)%
 2-year97 (94–99)%
Platelet recovery 218
 1-year91 (87–94)%
 2-year91 (87–95)%
Acute GVHD (II-IV) 239
 180-day36 (30–42)%
Acute GVHD (III-IV) 229
 180-day12 (8–17)%
Chronic GVHD 230
 1-year49 (43–56)%
 2-year58 (51–64)%
Extensive cGVHD 230
 1-year39 (33–46)%
 2-year46 (39–53)%
GRFS 230
 1-year35 (29–41)%
 2-year27 (21–33)%
NRM 249
 1-year19 (14–24)%
 2-year25 (20–31)%
 4-year30 (24–36)%
Progression/relapse 249
 1-year15 (11–20)%
 2-year19 (15–25)%
 4-year21 (16–27)%
PFS 249
 1-year66 (60–72)%
 2-year56 (49–62)%
 4-year47 (41–54)%
Overall survival 249
 1-year73 (68–79)%
 2-year63 (56–69)%
 4-year56 (49–63)%

GVHD graft-versus-host disease, Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival, GRFS GVHD free, relapse-free survival

Probabilities of acute GVHD, chronic GVHD, treatment-related mortality and progression/relapse were calculated using the cumulative incidence estimate. Progression-free survival and overall survival was calculated using the Kaplan-Meier product limit estimate

Univariate analysis of alternative donor sources is shown in Additional file 1 Table S6

Univariate Analysis GVHD graft-versus-host disease, Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival, GRFS GVHD free, relapse-free survival Probabilities of acute GVHD, chronic GVHD, treatment-related mortality and progression/relapse were calculated using the cumulative incidence estimate. Progression-free survival and overall survival was calculated using the Kaplan-Meier product limit estimate Univariate analysis of alternative donor sources is shown in Additional file 1 Table S6

Acute and chronic GVHD

On univariate analysis, the cumulative incidence of grade II–IV acute GVHD was 36% (95% CI 30–42) and grades III–IV acute GVHD was 12% (95% CI 8–17) at day 180 (Table 2). None of the tested covariates (Additional file 1: Table S2) affected the risk of the development of acute GVHD. On univariate analysis, the cumulative incidence of chronic GVHD at 1-year (Table 2) was 49% (95% CI 43–56), while the cumulative incidence of extensive chronic GVHD at 1 year (Table 2) was 39% (95% CI 33–46). Multivariate analysis (Table 3) showed that patients who received anti-thymocyte globulin (ATG) or alemtuzumab had a significantly lower risk of chronic GVHD (RR = 0.58, 95% CI 0.36–0.93, p = 0.02) relative to those who did not receive ATG/alemtuzumab.
Table 3

Multivariate analysis results

NumberRR95% CI lower limit95% CI upper limitP-valueOverall p value
Chronic GVHD
 ATG/alemtuzumab
  No1741 0.02
  Yes550.580.360.93 0.02
Progression/Relapse
 No significant covariates
Non-relapse mortality
 No significant covariates
Progression-free survival
 Disease status
  CR1081 0.03
  PR901.130.761.660.54
  Chemoresistant381.731.082.77 0.02
  Missing/Untreated130.430.151.200.11
Overall survival
 Karnofsky performance score (≤ 6 months)a
  ≥ 90%1191 0.002
  < 90%1133.461.746.87 0.0004
  Missing171.950.546.980.31
 Karnofsky performance score (> 6 months)a
  ≥ 90%10610.28
  < 90%800.660.391.120.12
  Missing140.730.291.860.51

GVHD graft-versus-host disease, CI confidence interval, ATG anti-thymocyte globulin, CR complete remission, PR partial remission, RR relative risk

Variables tested in the Multivariate analysis are listed in Additional file 1 Table S2

a6-months was chosen as cut-off based on the maximum likelihood value in the Cox model

p-value <0.05 is considered significant

Multivariate analysis results GVHD graft-versus-host disease, CI confidence interval, ATG anti-thymocyte globulin, CR complete remission, PR partial remission, RR relative risk Variables tested in the Multivariate analysis are listed in Additional file 1 Table S2 a6-months was chosen as cut-off based on the maximum likelihood value in the Cox model p-value <0.05 is considered significant

Transplantation outcomes

On univariate analysis, the cumulative incidence of 1-year GRFS (Table 2) was 35% (95% CI 29–41). The 1-year NRM rate (Table 2) was 19% (95% CI 14–24) (Fig. 1a). On multivariate analysis, there were no significant covariates affecting the risk of NRM. The cumulative incidence of progression/relapse at 4 years (Table 2) was 21% (95% CI 16–27) (Fig. 1b). On multivariate analysis (Table 3), none of the covariates (Additional file 1: Table S1, including chronic GVHD assessed as a time-dependent variable) significantly affected the relapse risk.
Fig. 1

Outcomes of patients receiving first allo-HCT for AITL. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival

Outcomes of patients receiving first allo-HCT for AITL. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival The 4-year PFS and OS (Table 2) were 47% (95% CI 41–54) (Fig. 1c) and 56% (95% CI 49–63) (Fig. 1d), respectively. On multivariate analysis (Table 3), chemoresistant status at the time of allo-HCT significantly increased the risk for therapy failure (inverse of PFS) (RR = 1.73 95% CI = 1.08–2.77, p = 0.02), while KPS < 90% was associated with a significantly higher risk of mortality (inverse of OS) in the first 6-months post allo-HCT (RR = 3.46 95% CI = 1.74–6.87, p = 0.0004).

Causes of death

At last follow-up, 45% (n = 112) of allo-HCT recipients had died (Additional file 1: Table S3). The most common cause of death was organ failure, 20% (n = 22) followed by recurrent/progressive disease, 19% (n = 21). GVHD was the cause of death in 17% (n = 19) and infectious complications accounted for death in 15% (n = 17) of patients. The other causes of death are listed in Additional file 1: Table S3.

Impact of prior autograft and disease status

Among the 249 patients who received first allo-HCT, 98 patients (39%) had received a prior auto-HCT. Univariate analysis looking at the impact of prior auto-HCT (no prior auto-HCT vs prior auto-HCT) on the outcomes showed no significant difference in the 1-year NRM (17% [95% CI 11–23] vs 22% [95% CI 14–30], p = 0.33), 4-year progression/relapse (24% [95% CI 17–31] vs 17% [95% CI 10–25], p = 0.21), PFS (50% [95% CI 42–59] vs 47% [95% CI 36–57], p = 0.60), or OS (57% [95% CI 49–65] vs 54% [95% CI 44–65], p = 0.70) (Table 4, Fig. 2).
Table 4

Comparative analysis of AITL patients who received prior auto-HCT vs no prior auto-HCT

OutcomesNo prior auto-HCT (N = 151)Prior auto-HCT (N = 98)p value
N Prob (95% CI) N Prob (95% CI)
NRM 151 98 0.25
1-year17 (11–23)%22 (14–30)%0.33
2-year21 (15–28)%31 (22–41)%0.08
3-year22 (16–29)%33 (23–43)%0.07
4-year26 (19–34)%36 (26–47)%0.11
Progression/relapse 151 98 0.69
1-year16 (11–22)%15 (8–22)%0.77
2-year22 (15–29)%16 (9–24)%0.23
3-year23 (16–30)%17 (10–25)%0.28
4-year24 (17–31)%17 (10–25)%0.21
PFS 151 98 0.45
1-year68 (60–75)%64 (54–73)%0.56
2-year57 (49–65)%53 (43–63)%0.53
3-year55 (47–64)%50 (40–61)%0.43
4-year50 (42–59)%47 (36–57)%0.60
Overall survival 151 98 0.81
1-year73 (65–80)%74 (65–82)%0.81
2-year65 (57–72)%59 (49–69)%0.43
3-year61 (53–69)%58 (47–68)%0.63
4-year57 (49–65)%54 (44–65)%0.70

Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival, HCT hematopoietic cell transplantation

Fig. 2

Outcomes of AITL patients based on the receipt of prior auto-HCT vs no prior auto-HCT. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival

Comparative analysis of AITL patients who received prior auto-HCT vs no prior auto-HCT Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival, HCT hematopoietic cell transplantation Outcomes of AITL patients based on the receipt of prior auto-HCT vs no prior auto-HCT. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival Among the 198 patients with chemosensitive disease at the time of allo-HCT, 33 patients (17%) were in CR1, while 75 patients (38%) were in CR > 1 and 90 patients (45%) were in PR. Univariate analysis looking at the effect of remission status at allo-HCT, CR1 vs CR > 1 vs PR vs refractory (Table 5), showed a 4-year PFS of 58% vs 45% vs 47% vs 38%, respectively, and a 4-year OS of 70% vs 54% vs 50% vs 52%, respectively. Among patients with chemorefractory AITL, the 1-year NRM was 24%, while the 4-year progression/relapse, PFS, and OS in patients with refractory AITL were 32%, 38%, and 52%, respectively. Figure 3 shows the disease outcomes for AITL patients based on the remission status at allo-HCT (CR vs PR vs chemoresistant).
Table 5

Comparative analysis of AITL patients based on the remission status at the time of allo-HCT

CR1 (N = 33)CR > 1 (N = 75)PR (N = 90)Refractory (N = 38)
Outcomes N Prob (95% CI) N Prob (95% CI) N Prob (95% CI) N Prob (95% CI)
NRM 33 75 90 38
1-year6 (1–17)%20 (12–30)%20 (13–29)%24 (12–38)%
2-year13 (4–26)%29 (19–40)%25 (17–35)%30 (16–45)%
3-year17 (6–32)%31 (21–43)%25 (17–35)%30 (16–45)%
4-year17 (6–32)%36 (25–49)%33 (22–44)%30 (16–45)%
Progression/ relapse 33 75 90 38
1-year15 (5–29)%13 (7–22)%14 (7–21)%29 (16–44)%
2-year25 (12–41)%16 (9–26)%19 (11–28)%29 (16–44)%
3-year25 (12–41)%18 (10–28)%19 (11–28)%32 (18–48)%
4-year25 (12–41)%18 (10–28)%21 (12–30)%32 (18–48)%
PFS 33 75 90 38
1-year79 (63–91)%67 (56–77)%66 (56–76)%47 (32–63)%
2-year62 (45–78)%54 (43–66)%56 (45–66)%41 (26–57)%
3-year58 (41–75)%50 (38–62)%56 (45–66)%38 (23–54)%
4-year58 (41–75)%45 (33–58)%47 (36–58)%38 (23–54)%
Overall survival 33 75 90 38
1-year88 (75–97)%73 (63–83)%71 (61–80)%63 (47–78)%
2-year78 (62–90)%62 (51–73)%59 (48–69)%52 (36–67)%
3-year70 (52–85)%58 (46–70)%57 (47–68)%52 (36–67)%
4-year70 (52–85)%54 (41–66)%50 (39–62)%52 (36–67)%

CR complete response, PR partial response, Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival

Fig. 3

Outcomes of AITL patients based on the disease status at allo-HCT. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival

Comparative analysis of AITL patients based on the remission status at the time of allo-HCT CR complete response, PR partial response, Prob probability, CI confidence interval, N number, NRM non-relapse mortality, PFS progression-free survival Outcomes of AITL patients based on the disease status at allo-HCT. a Cumulative incidence of non-relapse mortality. b Cumulative incidence of lymphoma progression/relapse. c Progression-free survival. d Overall survival

Discussion

Prospective studies evaluating the outcomes of allo-HCT exclusively in AITL have not been performed given an overall rarity of this PTCL subtype. Here, we performed a registry analysis of AITL patients receiving first allo-HCT and made several important observations. First, allo-HCT provided durable disease control in patients with AITL as evidenced by 4-year PFS of 47%. Second, the risk of relapse tended to plateau at 2-year post allo-HCT. Lastly, allo-HCT provided durable disease control even in patients with a failed prior auto-HCT and those subjects with refractory disease at the time of allografting. Auto-HCT has been previously studied as a consolidation modality for patients with AITL in first CR and beyond. While auto-HCT can provide durable disease control in AITL subjects in CR1, the outcomes of patients not in CR, or those with heavily pretreated disease are not optimal [10]. In addition, despite low transplant-related mortality, the risk of relapse following autografting remains high (1- and 2-year relapse risk is 40% and 51%, respectively) [10]. In contrast, allo-HCT provides excellent survival outcomes for patients with AITL with a lower risk of relapse. Additional file 1: Table S1 summarizes the retrospective studies (n ≥ 9) that have looked at the role of allo-HCT in AITL [11, 14–16]. The current study is the largest registry validation of these results showing durable responses in patients with AITL following allo-HCT. Though previous studies included patients with prior auto-HCT failure and chemorefractory state, the data are limited by very small patient numbers (for example, the previously published study with a large number of AITL patients [n = 45] included 15 patients with prior auto-HCT failure and 18 patients with chemorefractory disease at allo-HCT) [14] limiting the ability to draw meaningful conclusions. Considering the fact that ASBMT Clinical Practice Recommendation Panel [23] endorses the use of auto-HCT in AITL patients in CR1/PR1, and the high rates of disease relapse in patients receiving high-dose therapy, addressing the role of a subsequent allo-HCT is a clinically important question. In the current analysis, we did not observe any statistically significant differences in outcomes for patients who had prior auto-HCT vs no prior auto-HCT. Our results support the curative potential of allo-HCT in high-risk AITL patients who have failed a prior auto-HCT. Limited data are published on the role of allo-HCT in refractory AITL. Registry data from the European Society for Blood and Marrow Transplantation (EBMT) identified chemorefractory disease as a predictor of inferior outcomes but included only 18 refractory AITL patients [14]. In the current analysis, the 4-year PFS and OS of chemorefractory patients was 38% and 52% respectively, which supports the use of allografting in this ultra-high-risk subset of patients (who otherwise are fit to undergo allo-HCT). In our study, we did not find a relationship between chronic GVHD and relapse rate in contrast to the previously reported data [14]. The retrospective nature of the registry data does not permit us to analyze the optimal timing of allo-HCT. While the outcomes of CR1 patients in the current study were favorable (4-year PFS and OS 58% and 70%), prior studies have also suggested very encouraging outcomes of AITL patients undergoing auto-HCT in CR1 [10, 24]. AITL is a challenging diagnosis with roughly only 80% concordance even among expert pathologists with access to archival tissue [3, 7]. One of the limitations of the current study is the lack of central pathology review of archival tissue for all patients. The current study included cases as diagnosed by the pathologists at the respective institutions. Of note, disease histology is one of the critical fields CIBMTR examines during its onsite transplant center audits (where diagnosis reported to CIBMTR is audited relative to the pathology records available at the reporting center). In recent CIBMTR studies involving rare T-cell histologies, > 95% concordance was seen between center-reported diagnosis and central review of pathology reports [25, 26]. We acknowledge that this analysis is not a substitute of central review of archival tissue by expert pathologists. At the same time, it is important to note that the majority of prospective clinical trials enrolling AITL subjects accept the patients based on the pathology reports at the participating sites, without a mandatory central review of archival tissue. In addition, the CIBMTR registry does not capture post-relapse salvage therapy, thereby limiting the ability to assess the post allo-HCT relapse survival.

Conclusions

With a better understanding of the biology and development of prognostic tools, there has been a major effort to study novel drug combinations and immunotherapy agents (including checkpoint inhibitors and chimeric antigen receptor T-cell [CAR-T] therapy) in patients with NHL. Brentuximab vedotin (anti-CD30 antibody-drug conjugate) is being studied in combination with chemotherapy in the frontline setting in PTCL patients (ECHELON 2 trial, NCT 01777152). The final results are eagerly awaited to assess the impact of CD30-directed therapies in the subset of AITL patients. While the data on CAR-T cell therapy for B-cell NHL (mainly diffuse large B-cell lymphoma) in the relapsed/refractory setting is impressive [27], similar constructs in T-cell NHL have not been translated to the bedside. Our results suggest that allo-HCT offers the potential for cure in AITL patients including those with otherwise chemo-refractory disease. In the foreseeable future, allo-HCT is likely to remain an important therapeutic option for AITL patients. Table S1. Outcomes of patients with AITL who underwent allogeneic HCT. Table S2. Variables tested in Cox proportional hazards regression models. Table S3. Causes of Death. Table S4. Conditioning Intensity. Table S5. Details of GVHD prophylaxis regimens. Table S6. Univariate outcomes of AITL patients receiving alternative donor sources. (DOCX 29 kb)
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1.  Allogeneic hematopoietic stem cell transplantation for peripheral T cell lymphomas; evidence of graft-versus-T cell lymphoma effect.

Authors:  Mehdi Hamadani; Farrukh T Awan; Patrick Elder; Thomas S Lin; Peirluigi Porcu; Kristie A Blum; Steven M Devine
Journal:  Biol Blood Marrow Transplant       Date:  2008-04       Impact factor: 5.742

2.  Revised response criteria for malignant lymphoma.

Authors:  Bruce D Cheson; Beate Pfistner; Malik E Juweid; Randy D Gascoyne; Lena Specht; Sandra J Horning; Bertrand Coiffier; Richard I Fisher; Anton Hagenbeek; Emanuele Zucca; Steven T Rosen; Sigrid Stroobants; T Andrew Lister; Richard T Hoppe; Martin Dreyling; Kensei Tobinai; Julie M Vose; Joseph M Connors; Massimo Federico; Volker Diehl
Journal:  J Clin Oncol       Date:  2007-01-22       Impact factor: 44.544

Review 3.  Angioimmunoblastic-like T-cell non Hodgkin's lymphoma: outcome after chemotherapy in 33 patients and review of the literature.

Authors:  P Pautier; A Devidas; A Delmer; H Dombret; L Sutton; J M Zini; G Nedelec; T Molina; J P Marolleau; P Brice
Journal:  Leuk Lymphoma       Date:  1999-02

4.  Treatment and prognosis of mature T-cell and NK-cell lymphoma: an analysis of patients with T-cell lymphoma treated in studies of the German High-Grade Non-Hodgkin Lymphoma Study Group.

Authors:  Norbert Schmitz; Lorenz Trümper; Marita Ziepert; Maike Nickelsen; Anthony D Ho; Bernd Metzner; Norma Peter; Markus Loeffler; Andreas Rosenwald; Michael Pfreundschuh
Journal:  Blood       Date:  2010-07-21       Impact factor: 22.113

5.  Defining the intensity of conditioning regimens: working definitions.

Authors:  Andrea Bacigalupo; Karen Ballen; Doug Rizzo; Sergio Giralt; Hillard Lazarus; Vincent Ho; Jane Apperley; Shimon Slavin; Marcelo Pasquini; Brenda M Sandmaier; John Barrett; Didier Blaise; Robert Lowski; Mary Horowitz
Journal:  Biol Blood Marrow Transplant       Date:  2009-09-01       Impact factor: 5.742

6.  Long-term disease-free survival in patients with angioimmunoblastic T-cell lymphoma after high-dose chemotherapy and autologous stem cell transplantation.

Authors:  Johannes Schetelig; Sebastian Fetscher; Albrecht Reichle; Wolfgang E Berdel; Yves Beguin; Salut Brunet; Dolores Caballero; Ignazio Majolino; Hans Hagberg; Hans E Johnsen; Eva Kimby; Emilio Montserrat; Douglas Stewart; Adrian Copplestone; Wolf Rösler; Jindra Pavel; Dorothea Kingreen; Wolfgang Siegert
Journal:  Haematologica       Date:  2003-11       Impact factor: 9.941

Review 7.  1994 Consensus Conference on Acute GVHD Grading.

Authors:  D Przepiorka; D Weisdorf; P Martin; H G Klingemann; P Beatty; J Hows; E D Thomas
Journal:  Bone Marrow Transplant       Date:  1995-06       Impact factor: 5.483

8.  Clinicopathologic characteristics of angioimmunoblastic T-cell lymphoma: analysis of the international peripheral T-cell lymphoma project.

Authors:  Massimo Federico; Thomas Rudiger; Monica Bellei; Bharat N Nathwani; Stefano Luminari; Bertrand Coiffier; Nancy L Harris; Elaine S Jaffe; Stefano A Pileri; Kerry J Savage; Dennis D Weisenburger; James O Armitage; Nicholas Mounier; Julie M Vose
Journal:  J Clin Oncol       Date:  2012-08-06       Impact factor: 44.544

9.  Prognostic significance of T-cell phenotype in aggressive non-Hodgkin's lymphomas. Groupe d'Etudes des Lymphomes de l'Adulte (GELA).

Authors:  C Gisselbrecht; P Gaulard; E Lepage; B Coiffier; J Brière; C Haioun; D Cazals-Hatem; A Bosly; L Xerri; H Tilly; F Berger; R Bouhabdallah; J Diebold
Journal:  Blood       Date:  1998-07-01       Impact factor: 22.113

10.  Graft-versus-lymphoma effect for aggressive T-cell lymphomas in adults: a study by the Société Francaise de Greffe de Moëlle et de Thérapie Cellulaire.

Authors:  Steven Le Gouill; Noel Milpied; Agnès Buzyn; Régis Peffault De Latour; Jean-Paul Vernant; Mohamad Mohty; Marie-Pierre Moles; Krimo Bouabdallah; Claude-Eric Bulabois; Jehan Dupuis; Bernard Rio; Nicole Gratecos; Ibrahim Yakoub-Agha; Michel Attal; Olivier Tournilhac; Didier Decaudin; Jean-Henry Bourhis; Didier Blaise; Christelle Volteau; Mauricette Michallet
Journal:  J Clin Oncol       Date:  2008-04-07       Impact factor: 44.544

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1.  Higher Total Body Irradiation Dose Intensity in Fludarabine/TBI-Based Reduced-Intensity Conditioning Regimen Is Associated with Inferior Survival in Non-Hodgkin Lymphoma Patients Undergoing Allogeneic Transplantation.

Authors:  Mehdi Hamadani; Manoj Khanal; Kwang W Ahn; Carlos Litovich; Victor A Chow; Alireza Eghtedar; Reem Karmali; Allison Winter; Timothy S Fenske; Craig Sauter; Mohamed A Kharfan-Dabaja; Farrukh T Awan
Journal:  Biol Blood Marrow Transplant       Date:  2020-03-09       Impact factor: 5.742

2.  Association of Reduced-Intensity Conditioning Regimens With Overall Survival Among Patients With Non-Hodgkin Lymphoma Undergoing Allogeneic Transplant.

Authors:  Nilanjan Ghosh; Sairah Ahmed; Kwang Woo Ahn; Manoj Khanal; Carlos Litovich; Mahmoud Aljurf; Vera Ulrike Bacher; Christopher Bredeson; Narendranath Epperla; Nosha Farhadfar; César O Freytes; Siddhartha Ganguly; Bradley Haverkos; David Inwards; Rammurti T Kamble; Hillard M Lazarus; Lazaros Lekakis; Hemant S Murthy; Taiga Nishihori; Praveen Ramakrishnan; David A Rizzieri; Jean A Yared; Mohamed A Kharfan-Dabaja; Anna Sureda; Mehdi Hamadani
Journal:  JAMA Oncol       Date:  2020-07-01       Impact factor: 31.777

Review 3.  Peripheral T-Cell Lymphomas: Therapeutic Approaches.

Authors:  David Sibon
Journal:  Cancers (Basel)       Date:  2022-05-08       Impact factor: 6.575

4.  Impact of conditioning regimen intensity on the outcomes of peripheral T-cell lymphoma, anaplastic large cell lymphoma and angioimmunoblastic T-cell lymphoma patients undergoing allogeneic transplant.

Authors:  Malvi Savani; Kwang W Ahn; Yue Chen; Sairah Ahmed; Amanda F Cashen; Mazyar Shadman; Dipenkumar Modi; Farhad Khimani; Corey S Cutler; Jasmine Zain; Jonathan E Brammer; Andrew R Rezvani; Timothy S Fenske; Craig S Sauter; Mohamed A Kharfan-Dabaja; Alex F Herrera; Mehdi Hamadani
Journal:  Br J Haematol       Date:  2022-02-02       Impact factor: 8.615

5.  Allogeneic stem cell transplantation for peripheral T cell lymphomas: a retrospective study in 285 patients from the Société Francophone de Greffe de Moelle et de Thérapie Cellulaire (SFGM-TC).

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Journal:  J Hematol Oncol       Date:  2020-05-19       Impact factor: 17.388

6.  Outcome of allogeneic transplantation for mature T-cell lymphomas: impact of donor source and disease characteristics.

Authors:  Mehdi Hamadani; Maud Ngoya; Anna Sureda; Qaiser Bashir; Carlos Alejandro Litovich; Hervé Finel; Yue Chen; Ariane Boumendil; Jasmine Zain; Luca Castagna; Amanda F Cashen; Didier Blaise; Mazyar Shadman; Rocco Pastano; Farhad Khimani; Mutlu Arat; Sascha Dietrich; Norbert Schmitz; Bertram Glass; Mohamed A Kharfan-Dabaja; Paolo Corradini; Craig S Sauter; Silvia Montoto; Mi Kwon; Alex F Herrera; Peter Dreger
Journal:  Blood Adv       Date:  2022-02-08

Review 7.  How to Sequence Therapies in Peripheral T Cell Lymphoma.

Authors:  Kitsada Wudhikarn; N Nora Bennani
Journal:  Curr Treat Options Oncol       Date:  2021-07-02

Review 8.  Therapy of Peripheral T Cell Lymphoma: Focus on Nodal Subtypes.

Authors:  Pamela B Allen; Barbara Pro
Journal:  Curr Oncol Rep       Date:  2020-04-16       Impact factor: 5.945

9.  Allogeneic transplantation in elderly patients ≥65 years with non-Hodgkin lymphoma: a time-trend analysis.

Authors:  Nirav N Shah; Kwang Woo Ahn; Carlos Litovich; Anna Sureda; Mohamed A Kharfan-Dabaja; Farrukh T Awan; Siddhartha Ganguly; Usama Gergis; David Inwards; Reem Karmali; Alexsandr Lazaryan; Lazaros Lekakis; Pashna Munshi; Sunita Nathan; Ayman A Saad; Melhem Solh; Amir Steinberg; Ravi Vij; William A Wood; Timothy S Fenske; Sonali Smith; Mehdi Hamadani
Journal:  Blood Cancer J       Date:  2019-12-03       Impact factor: 11.037

Review 10.  Recent Advances in Diagnosis and Therapy of Angioimmunoblastic T Cell Lymphoma.

Authors:  Mostafa F Mohammed Saleh; Ahmed Kotb; Ghada E M Abdallah; Ibrahim N Muhsen; Riad El Fakih; Mahmoud Aljurf
Journal:  Curr Oncol       Date:  2021-12-20       Impact factor: 3.677

  10 in total

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