Efficacy of Salvage Treatments in Relapsed or Refractory Diffuse Large B-Cell Lymphoma Including Chimeric Antigen Receptor T-Cell Therapy: A Systematic Review and Meta-Analysis

Article information

Cancer Res Treat. 2023;55(3):1031-1047

Publication date (electronic) : 2023 March 13

doi : https://doi.org/10.4143/crt.2022.1658

Jinchul Kim ¹

, Jinhyun Cho ¹, Sang Eun Yoon ², Won Seog Kim ²^,³, Seok Jin Kim ²^,³

¹Department of Hematology-Oncology, Inha University College of Medicine, Incheon, Korea

²Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea

³Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea

Correspondence: Seok Jin Kim, Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul 06351, Korea, Tel: 82-2-3410-1766, Fax: 82-2-3410-1754, E-mail: kstwoh@skku.edu

Received 2022 December 26; Accepted 2023 March 8.

Abstract

Purpose

We intend to evaluate the efficacy of salvage treatments for relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL) through meta-analysis.

Materials and Methods

R/R DLBCL trials were divided into two groups based on eligibility for autologous stem-cell transplantation (ASCT), and meta-analysis of each group was performed. Random effects models were used to estimate the 1-year progression-free survival (PFS) rate, and chimeric antigen receptor (CAR) T-cell therapy was used as reference treatment.

Results

Twenty-six ASCT-eligible cohorts from 17 studies comprising 2,924 patients and 59 ASCT-ineligible cohorts from 53 studies comprising 3,617 patients were included in the pooled analysis. In the ASCT-eligible group, the pooled 1-year PFS rate was 0.40 (95% confidence interval [CI], 0.15 to 0.65) for the CAR T-cell group and 0.34 (95% CI, 0.30 to 0.37) for the group with chemotherapy followed by ASCT intention. The two treatments were not significantly different in meta-regression analysis. In the ASCT-ineligible group, the pooled 1-year PFS was 0.40 (95% CI, 0.35 to 0.46) for CAR T-cell, and the highest primary outcome was 0.47 (95% CI, 0.37 to 0.57) for the tafasitamab group. CAR T-cell therapy showed significantly better outcomes than chemotherapy and therapies based on ibrutinib, lenalidomide, and selinexor. However, loncastuximab, polatuzumab plus bendamustine and rituximab, and the tafasitamab group showed no different efficacy than CAR T-cell therapy after adjusting for median number of previous lines of treatment.

Conclusion

Although several regimens were crudely grouped for classification, CAR T-cell therapy did not outperform chemotherapy followed by ASCT in the second-line setting or several recently developed agents in the ASCT-ineligible setting.

Keywords: Relapsed/refractory large B-cell lymphoma; Regimen; PFS outcome; Meta-analysis

Introduction

Diffuse large B-cell lymphoma (DLBCL) is the globally most prevalent subtype of non-Hodgkin’s lymphoma, accounting for approximately 20% of all lymphoid malignancies [1]. Although the majority of patients with DLBCL responds to front-line R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) chemotherapy or a comparable regimen, 3%–40% of patients are refractory to the treatment or relapse after an initial response [2,3]. Standard treatment for patients with relapsed or refractory (R/R) DLBCL has been second-line chemotherapy followed by consolidative autologous stem-cell transplantation (ASCT). However, only a minority of R/R DLBCL patients can be cured by ASCT because the majority are ineligible due to old age, comorbidities, or refractory disease [4]. The prognosis of patients who are ineligible for ASCT or relapse even after ASCT remains dismal.

Chimeric antigen receptor (CAR) T-cell therapy targeting CD19 has advanced the treatment for R/R DLBCL patients and has achieved long-term remission in up to 40% of patients [5]. Additionally, recent randomized controlled trials that compared the efficacy of CAR T-cell therapy with the standard of care incorporating ASCT have suggested that CAR T-cell be considered as a second-line therapy for transplant-eligible patients who relapsed within 1 year after first-line treatment [6,7]. Nevertheless, CAR T-cell therapy has shown some limitations. For example, the therapy for later-line treatment showed a response in a limited population [5,8–10], and conflicting clinical outcomes have been reported for second-line treatment [6,7,11,12]. Other than CAR T-cell therapy, a variety of salvage treatments including novel therapeutic agents has been recommended in different situations depending on eligibility for ASCT, number of previous treatment lines, and cell of origin of the DLBCL [13]. In particular, since 2019, polatuzumab vedotin in combination with bendamustine and rituximab [14], selinexor [15], tafasitamab plus lenalidomide [16], and loncastuximab tesirine [17] have been approved by the FDA for reliable responses to R/R DLBCL.

Because it is challenging to analyze the efficacy of several recommended treatments and compare them through randomized trials, a pooled analysis of available studies and a comprehensive comparison of the various regimens could provide clinically relevant information. To reduce heterogeneity and analyze a population with similar characteristics, we divided all R/R DLBCL studies into two groups, one with ASCT-eligible patients and one with ASCT-ineligible patients and performed a meta-analysis in each group.

Materials and Methods

1. Systematic literature review

This systematic review and meta-analysis were conducted according to the reporting guidelines in Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology [18]. The authors performed a comprehensive search of the literature in MEDLINE, Embase, and the Cochrane Central Register of Controlled Trial databases with language restriction in English from inception to 30 June 2022. The main keywords for the literature search were b-cell lymphoma and prospective phase II or III study, and the details of the search strategy are described in the supplementary Methods. Additionally, the meeting abstracts from the American Society of Clinical Oncology, American Society of Hematology, European Society for Medical Oncology, and European Hematology Association and the references of pertinent articles were manually scanned to identify additional relevant studies.

2. Eligibility criteria

Prospective phase II or III trials evaluating the efficacy of systemic treatment for R/R DLBCL were selected for meta-analysis. Additional inclusion criteria were full-text articles and report of the primary outcome. Studies with the following characteristics were excluded: (1) no specific subtype outcome or characteristics of DLBCL among several types of B-cell lymphoma; (2) conducted before the first-line rituximab era; (3) mainly comprised patients with central nervous system lymphoma, b-cell cutaneous lymphoma, human immunodeficiency virus-related lymphoma, or primary mediastinal lymphoma; (4) studied the efficacy of radiotherapy only; (5) studied the efficacy of ASCT only; (6) had no information on previous treatments; and (7) studied a pediatric population.

3. Data extraction

Two authors independently extracted the following records from both ASCT-eligible and ineligible studies (J.K. and J.C.): trial identifier, published journal, publication year, name of the first author, trial phase, country where trial was conducted, treatment regimens, treatment category, and median follow-up duration. Clinical information of median age (range); median number of prior therapies (range); complete remission (CR) or partial remission (PR) rate; total number of patients; and proportions of patients with age ≥ 65 years, male gender, de novo DLBCL, germinal center B-cell like subtype, stage III/IV, Eastern Cooperative Oncology Group ≥ 2, and previous anti-CD20 treatment were also collected. In the ASCT-eligible studies, the proportion of patients with CR duration from front-line treatment (< or ≥ 12 months), who proceeded to primary refractoriness, high lactate dehydrogenase, International Prognostic Index (IPI) 4/5, second-line age-adjusted IPI 2/3, and ASCT were additionally collected. In the ASCT-ineligible studies, the percentage of prior ASCT, refractory to last treatment, and IPI 0–1/2–3/4–5 were obtained. The other two authors (S.E.Y. and S.J.K.) resolved discrepancies in the extracted data.

4. Classification of chemotherapy

Based on current guidelines, classification of the chemotherapeutic agents for R/R DLBCL was performed [13]. In the group intending to proceed to ASCT, the regimen containing cytotoxic chemotherapy as the main backbone and attempting ASCT in responding patients was classified as chemotherapy, while CAR-T cell therapy was separately grouped. The regimens not recommended in the current guidelines were categorized as “others.” In the non-candidates for ASCT group, treatment consisting primarily of chemotherapy was classified as chemotherapy. Several targeted agents were classified into each category itself if specified in the guidelines. Accordingly, three treatment categories were generated in the ASCT-eligible group and nine in the ASCT-ineligible group. The regimens used in the ASCT-eligible studies were (1) CAR T-cell therapy, including axicabtagene ciloleucel [6], lisocabtagene maraleucel [7], and tisagenlecleucel [11]; (2) Chemotherapy, including ICD (irinotecan, cisplatin, and dexamethasone) [19], R (rituximab)-ICE (ifosfamide, carboplatin, and etoposide) [4,20], R-DHAP (cytarabine, cisplatin, and dexamethasone) [4,21,22], R-NIMP (vinorelbine, ifosfamide, mitoxantrone, and prednisolone) [23], ofatumumab plus DHAP [22,24], ofatumumab plus ICE [24], R-GDP (gemcitabine, dexamethasone, and cisplatin) [21,25], dacetuzumab plus R-ICE [20], R-OAD (oxaliplatin, cytarabine, and dexamethasone) [26], ofatumumab plus BCE (bendamustine, carboplatin, and etoposide) [27], temsirolimus plus R-DHAP [28], and platinum-based chemoimmunotherapy [6,7,11] used as a control in recent randomized trials that evaluated the efficacy of CAR T-cell therapy; and (3) others, including R-lenalidomide [29], inotuzumab ozogamicin [30], blinatumomab [31], and R-gemcitabine plus lenalidomide [25].

Treatments in the ASCT-ineligible studies were grouped as follows: (1) CAR T-cell therapy [5,32], including axicabtagene ciloleucel [8], lisocabtagene maraleucel [10], and tisagenlecleucel [9]; (2) chemotherapy, including R-Gemox (gemcitabine and oxaliplatin) [33,34], R-B (bendamustine) [14,35–38], pixantrone [39], one of the various chemotherapies [39] (one of vinorelbine, oxaliplatin, ifosfamide, etoposide, mitoxantrone, gemcitabine, or rituximab), R-ifosfamide+etoposide [40], R-pixantrone [41], R-gemcitabine [41], R-PECC (prednisolone, etoposide, chlorambucil, and lomustine) [42], decitabine plus DHAP [43], ibrutinib plus lenalidomide plus R-EPOCH (etoposide, prednisolone, vincristine, cyclophosphamide, and doxorubicin) [44], pixantrone plus obinutuzumab [45], and lenalidomide plus R-GDP [46]; (3) ibrutinib-based therapy, including ibrutinib plus durvalumab [47], ibrutinib plus nivolumab [48], and ibrutinib monotherapy [49]; (4) lenalidomide-based therapy, including R-lenalidomide [50], lenalidomide monotherapy [34], obinutuzumab plus lenalidomide [51], and temsirolimus plus lenalidomide [52]; (5) loncastuximab tesirine [17]; (6) polatuzumab plus bendamustine and rituximab [14,53,54] and R-polatuzumab [55]; (7) selinexor [15]; (8) tafasitamab, including tafasitamab monotherapy [56] and tafasitamab plus lenalidomide [16]; (9) others, including ibritumomab [57,58], temsirolimus [59], ofatumumab [60], R-everolimus [61], dacetuzumab [62], sepantronium [63], belinostat [64], R-coltuximab [65], R-panobinostat [66], mocetinostat [67], buparlisib [68], abexinostat [69], coltuximab [70], entospletinib [71], panobinostat [72,73], R-inotuzumab [37], selumetinib [74], nivolumab [75], R-pinatuzumab [55], and copanlisib [76].

5. Data synthesis and analyses

The primary outcome was 1-year progression-free survival (PFS) rate, and the secondary outcome was CR rate according to treatment category. There are two main reasons why 1-year PFS rate was used as a primary endpoint; First, disease progression takes place mostly within the first year and thereafter tends to form a plateau with most treatments, including CAR T-cell therapy, in most included trials. Second, most of the included studies reported 1-year PFS rate, event-free survival rate, or related Kaplan-Meier survival graphs. When the 1-year PFS rate was only demonstrated as a Kaplan-Meier survival graph, the software GetData Graph Digitizer 2.26 (http://getdata-graph-digitizer.com/) was used for digitizing and extracting data. The pooled primary and secondary outcomes and corresponding 95% confidence intervals (CIs) and p-values were calculated using random-effects models. Our model was a single-arm proportion meta-analysis, and the calculations were performed using the inverse variance method. To assess 1-year PFS and the CR rate according to treatment category, subgroup analyses using a Q test were performed. In addition, a meta-regression was conducted to evaluate potential moderators associated with the primary outcome. The patient proportions of stage III/IV, duration of complete response greater or less than 12 months from front-line treatment, and primary refractoriness to previous therapy were included in the ASCT-eligible studies. The proportions of stage III/IV, prior ASCT, refractoriness to the last treatment, and median number of prior lines of treatment were included in the ASCT-ineligible studies. The variables with p-value of < 0.1 in univariate meta-regression or predefined variables with clinical significance, especially the percentage of primary refractoriness to previous therapy in the ASCT-eligible group, were incorporated in the multivariate meta-regression analysis. Meta-regression was executed using the metareg function with its default parameters and a mixed-effects model. Heterogeneity was assessed using the τ² and I² statistics. All statistical tests were two-sided, and p-values ≤ 0.05 were regarded as statistically significant. R studio software (ver. 1.4.1743, R Foundation for Statistical Computing, Vienna, Austria) was utilized for quantitative pooled analysis and meta-regression modeling.

Results

1. Literature search

A total of 9,670 records was identified during the initial database search. After removing duplicates and screening the titles and abstracts of the studies, 811 potentially relevant studies remained for detailed review. As described above, additional exclusion criteria were applied to derive the final 17 studies [4,6,7,11,19–31] comprising 26 cohorts and 2,924 ASCT-eligible patients and 53 studies [5,8,9,10,14–17,32–76] of 59 cohorts and 3,617 ASCT-ineligible patients included in the meta-analysis (Fig. 1).

Fig. 1

Trial selection flow. ASCT, autologous stem cell transplantation; HIV, human immunodeficiency virus.

2. Characteristics of included studies

The baseline characteristics of the 26 ASCT-eligible cohorts are outlined in Table 1 and S1 Table, and the baseline characteristics of the 59 ASCT-ineligible cohorts are outlined in Table 2 and S2 Table. In the ASCT-eligible studies, six studies including 12 cohorts were phase 3 randomized trials and were published in 2008–2022. The categories of regimens were classified as follows: 19 cohorts from 14 studies [4,6,7,11,19–28] with chemotherapy; three cohorts from three studies [6,7,11] with CAR T-cell therapy; and four cohorts from four studies [25,29–31] with others. Only one cohort [29] reported a median number of prior systemic therapies of 3, while all others reported a median number of one prior systemic therapy. Studies comparing CAR T-cell therapy and chemotherapy [6,7,11] in randomized controlled trials had no patients who maintained CR for more than 12 months from front-line treatment. All but two cohorts [24] and cohorts treated with CAR T-cell reported various ranges of proportions of patients to proceed to ASCT. In ASCT-ineligible studies, 10 cohorts from five studies [34,37,39,41,55] were randomized trials and were published in 2007–2022. The following nine categories were used to classify regimens: five cohorts from five studies [5,8-10,32] with CAR T-cell therapy; 17 cohorts from 16 studies [14,33–46,61] with chemotherapy; three cohorts from three studies [47–49] with ibrutinib-based therapy; four cohorts from four studies [34,50–52] with lenalidomide-based therapy; one cohort from one study [17] with loncastuximab; four cohorts from four studies [14,53–55] with polatuzumab plus bendamustine and rituximab; one cohort from one study [15] with selinexor; two cohorts from two studies [16,56] with tafasitamab; and 22 cohorts from 21 [37,55,57–60,62–76] studies with others. The median number of previous treatments ranged from 1 to 5, and all CAR T-cell studies reported a median of three previous treatments.

Table 1

Baseline characteristics of trials studying ASCT-eligible patients

Table 2

Baseline characteristics of trials studying ASCT-ineligible patients

3. Pooled analyses and meta-regression–ASCT-eligible trials

The overall pooled proportion for 1-year PFS in ASCT-eligible studies was 0.33 (95% CI, 0.28 to 0.38). There were no statistically significant differences in 1-year PFS by category (p=0.30); 0.40 (95% CI, 0.15 to 0.65) in the CAR T-cell therapy group, 0.34 (95% CI, 0.30 to 0.37) in the chemotherapy group, and 0.21 (95% CI, 0.05 to 0.38) in others (Fig. 2). Meta-regression analysis with a mixed-effects model using predefined and relevant study-level moderators was conducted to evaluate whether several factors influenced the outcome (Table 3). Univariate meta-regression revealed that proportion of stage III/IV patients, duration of complete response greater or less than 12 months from front-line treatment, and primary refractoriness to previous therapy were not significantly associated with 1-year PFS rate. The only factor associated with the primary outcome was the CR rate for testing the performance of the regression analysis. According to the predefined analysis principle, primary refractoriness to prior treatment was included in the multivariable meta-regression model, and there was still no significant difference between the Chemotherapy and CAR T-cell groups. The pooled CR rate was 0.31 (95% CI, 0.25 to 0.36), and significantly different CR rates were observed according to regimen (p=0.01) (S3 Fig.). CR rate was 0.53 (95% CI, 0.29 to 0.78) for the CAR T-cell therapy group, 0.28 (95% CI, 0.23 to 0.33) for the Chemotherapy group, and 0.20 (95% CI, 0.13 to 0.27) for the others group. The pooled CR rate of CAR T-cell therapy was significantly higher than those of the Chemotherapy and Others groups.

Fig. 2

Pooled 1-year PFS according to the treatment categories in ASCT-eligible trials [4,6,7,11,19–31]. ASCT, autologous stem-cell transplantation; CAR, chimeric antigen receptor; CI, confidence interval; PFS, progression-free survival.

Table 3

Meta-regression analysis using study-level characteristics in relation to 1-year PFS rate in ASCT-eligible studies

4. Pooled analyses and meta-regression – ASCT-ineligible trials

The overall pooled 1-year PFS rate in ASCT-ineligible trials was 0.24 (95% CI, 0.20 to 0.27). The significant differences in 1-year PFS according to category (p < 0.01) were 0.40 (95% CI, 0.35 to 0.46) for CAR T-cell therapy, 0.23 (95% CI, 0.17 to 0.30) for chemotherapy, 0.24 (95% CI, 0.14 to 0.34) for ibrutinib-based therapy, 0.26 (95% CI, 0.18 to 0.35) for lenalidomide-based therapy, 0.26 (95% CI, 0.19 to 0.3,3) for loncastuximab, 0.35 (95% CI, 0.27 to 0.42) for polatuzumab plus bendamustine and rituximab, 0.21 (95% CI, 0.15 to 0.29) for selinexor, 0.47 (95% CI, 0.37 to 0.57) for tafasitamab, and 0.16 (95% CI, 0.11 to 0.21) for others (Fig. 3). Meta-regression analysis demonstrated that patient proportion of stage III/IV, prior ASCT, and refractoriness to the last treatment had no association with the outcome in univariate meta-regression. The median number of prior lines of treatment showed a weak correlation with 1-year PFS rate and was included in the multivariable meta-regression model with regimen. This model revealed that CAR T-cell therapy was significantly better than chemotherapy, ibrutinib-based therapy, lenalidomide-based therapy, and selinexor but showed no difference in efficacy compared to loncastuximab, polatuzumab plus bendamustine and rituximab, and tafasitamab, with adjustment for median number of previous lines of treatment (Table 4). The pooled proportion of CR was 0.20 (95% CI, 0.16 to 0.24) (S4 Fig.), and CAR T-cell therapy (0.45; 95% CI, 0.37 to 0.54) demonstrated a better CR rate than all other groups except loncastuximab and polatuzumab plus bendamustine and rituximab (data not shown).

Fig. 3

Pooled 1-year PFS according to the treatment categories in ASCT-ineligible trials [5,9,10,14–17,32–76]. ASCT, autologous stem-cell transplantation; BR, bendamustine and rituximab; CAR, chimeric antigen receptor; CI, confidence interval; PFS, progression-free survival.

Table 4

Meta-regression analysis using study-level characteristics in relation to 1-year PFS rate in ASCT-ineligible studies

Discussion

This meta-analysis has focused on investigating the relationships between various treatment regimens and PFS outcomes in R/R DLBCL patients. Although CAR T-cell therapy has emerged as a promising therapeutic strategy, relevant trials have reported conflicting results compared to the standard treatment in ASCT-eligible patients. In addition, no direct evidence has demonstrated whether CAR T-cell therapy is superior to other recommended treatments in the ASCT-ineligible group. In this study, we evaluated the efficacy of different regimens using a single-arm proportion meta-analysis and meta-regression according to eligibility for ASCT, using CAR T-cell therapy as a reference treatment for comparison. In the studies examined, 26 cohorts from 17 prospective ASCT-eligible studies and 59 cohorts from 53 ASCT-ineligible studies were included. CAR T-cell treatment did not show a significantly better 1-year PFS rate than chemotherapy in the former group and did not demonstrate superior outcomes compared to loncastuximab, polatuzumab plus bendamustine and rituximab, or tafasitamab in the latter group.

The impressive results of anti-CD19 CAR T cells as a third-line therapy prompted testing as second-line treatment for refractory DLBCL patients eligible for ASCT, but the use of these therapies in this population is a current subject of debate. Three large randomized phase III studies, the ZUMA-7 [6], BELINDA [11], and TRANSFORM [7] trials, all of which included patients with primary refractory disease or with relapse within 12 months of completion of front-line therapy, were conducted by comparing the 3 CAR T-cell products and salvage platinum-based chemotherapy followed by ASCT. The ZUMA-7 and TRANSFORM trial demonstrated the superiority of each CAR T-cell therapy over standard treatment in terms of event-free survival, but no difference between CAR T and chemotherapy was observed in the BELINDA trial. Substantial factors such as study designs in the 3 trials, including use and type of bridging therapy, percentage of patients who received bridging therapy, and proportion of patients who had progressive disease before CAR T-cell infusion, might explain these conflicting clinical outcomes [77].

These heterogeneities in baseline features within the CAR T-cell trials and within studies included in the ASCT-eligible group led to the unexpected result of our pooled analysis. To reduce heterogeneity, the proportion of patients who were primarily refractory to front-line treatment was used as the adjustment factor because a strong association between the variable and 1-year PFS rate was identified in the chemotherapy category group (p=0.001, data not shown) in our meta-regression model. Nonetheless, the difference in primary outcome between the CAR T-cell and the chemotherapy followed by ASCT group was not significant in ASCT-eligible analysis.

A recent meta-analysis by Shargian et al. [78], in which the ZUMA-7 [6], BELINDA [11], and TRANSFORM [7] trials were pooled for analysis, has demonstrated that clinical outcomes were significantly improved with CAR T compared to the standard of care of second-line treatment [78]. However, the number of studies included in the meta-analysis was small, and the heterogeneity between studies due to the variability in the design of the studies was highly reflected. In contrast, a recent CIBMTR-comparative analysis involving 411 patients who achieved at least PR from salvage therapy has shown support for the use of ASCT among chemosensitive patients when CAR T-cell treatment was also available [79]. The 2-year PFS was comparable between those who received ASCT versus those who received CAR T-cell, and a lower risk of relapse as well as improved 2-year overall survival were reported in the ASCT cohort. Therefore, considering the advantages of ASCT over CAR T-cells, such as low toxicity, inferior cost, and broader access for patients, careful selection and use of high-dose chemotherapy for patients with the chemosensitive disease is thought to be reasonable. Prospective trials for non-high-risk aggressive B-cell lymphomas and the definition of an optimal strategy for bridging therapy are needed.

Several studies have compared matched populations of CAR T-cell trial and historical salvage chemotherapy trial that mainly comprised ASCT-ineligible patients using propensity score-matched analysis [80,81]. All CAR T-cell therapies demonstrated durable responses and survival benefits over chemotherapy for patients with refractory DLBCL. In our pooled analysis, the CAR T-cell therapy group showed significantly better 1-year PFS than the Chemotherapy group, in line with previous findings. However, comparing CAR T-cell therapy and recently approved regimens, including loncastuximab, polatuzumab plus bendamustine and rituximab, and tafasitamab, no significant different primary outcomes were identified in our study. Among these new agents, in particular, the efficacy of the tafasitamab plus lenalidomide regimen from the L-MIND trial [16] was compared with matched-paired patients treated with recommended therapies for ASCT-ineligible R/R DLBCL in an observational retrospective study [82]. This regimen showed better overall survival and overall response compared to polatuzumab plus bendamustine/rituximab and rituximab plus lenalidomide and comparable outcomes to CAR T-cells, highlighting its prominent efficacy despite the limitation of the retrospective nature. These findings indicate that there will be roles of newly developed targeted agents other than CAR T-cell therapy in heavily treated patients and those ineligible for ASCT.

There are some inherent limitations in the current study. First, we were unable to thoroughly analyze patient-level covariates due to the study’s characteristic of a study-level meta-analysis of a prospective single-arm study. Similarly, determinations for ASCT eligibility were based on the study design rather than individual characteristics. Second, it was difficult to evaluate the efficacy of each regimen because the several treatment regimens were crudely grouped for classification and analysis. Third, in the ASCT-ineligible group analysis, multiple comparisons were unavoidable because an increased number of treatment groups was generated according to the current guidelines. Despite these limitations, our meta-analysis was carried out using solid statistical methodologies with a strict set of inclusion criteria, allowing us to confirm the relative efficacy of CAR T-cell therapy compared to several other treatments.

In summary, this pooled analysis revealed that CAR T-cell therapy did not show a significantly superior 1-year PFS rate over ASCT following chemotherapy in a second-line setting. In addition, CAR T-cell did not outperform several recently developed agents in patients who were ineligible for ASCT. Given the limited number of relevant trials available for each treatment category group and their heterogeneity, further well-conducted large-scale studies are required to corroborate our findings.

Electronic Supplementary Material

Supplementary materials are available at Cancer Research and Treatment website (https://www.e-crt.org).

crt-2022-1658-Supplementary-Methods.pdf

crt-2022-1658-Supplementary-Table-S1.xlsx

crt-2022-1658-Supplementary-Table-S2.xlsx

crt-2022-1658-Supplementary-Fig-S3.pdf

crt-2022-1658-Supplementary-Fig-S4.pdf

Notes

Author Contributions

Conceived and designed the analysis: Kim J, Kim WS, Kim SJ.

Collected the data: Kim J, Yoon SE.

Contributed data or analysis tools: Kim J, Kim WS, Kim SJ.

Performed the analysis: Kim J.

Wrote the paper: Kim J, Cho J, Kim SJ.

Conflicts of Interest

Conflicts of interest relevant to this article were not reported.

Acknowledgements

This work was supported by Inha University Research Grant.

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First author	Year	Trial identifier	Phase	Regimen	Category	No. of patients	Median age (range, yr)	Median No. of prior therapies (range)	Stage III/IV (%)	Complete response < 12 mo (%)	Complete response ≥ 12 mo (%)	Primary refractory (%)
Kang [19]	2008	NA	2	ICD	Chemotherapy	15	56 (20–67)	1 (1–3)	46.7	NA	NA	60.0
Gisselbrecht [4]	2010	NCT00137995	3	R-ICE	Chemotherapy	202	54 (19–65)	1	58.9	44.1	55.4	NA
Gisselbrecht [4]	2010	NCT00137995	3	R-DHAP	Chemotherapy	194	55 (19–65)	1	62.4	44.8	53.1	NA
Gyan [23]	2013	NA	2	R-NIMP	Chemotherapy	50	61 (18–75)	1	62.0	38.0	56.0	6.0
Matasar [24]	2013	NCT00823719	2	Ofatumumab+DHAP	Chemotherapy	26	54 (20–66)	1	65.4	84.6	15.4	50.0
Matasar [24]	2013	NCT00823719	2	Ofatumumab+ICE	Chemotherapy	35	52 (27–79)	1	65.7	71.4	22.9	45.7
Wang [29]	2013	NCT00294632	2	R+lenalidomide	Others	45	66 (24–84)	3 (1–4)	60.0	NA	NA	NA
Crump [21]	2014	NCT00078949	3	R-GDP	Chemotherapy	310	55 (19–71)	1	70.0	41.6	26.1	30.6
Crump [21]	2014	NCT00078949	3	R-DHAP	Chemotherapy	309	55 (23–74)	1	68.0	41.4	26.9	30.4
Wagner-Johnston [30]	2015	NA	2	Inotuzumab ozogamicin	Others	63	60 (19–75)	1 (1–2)	58.7	84.1	15.9	57.1
Fayad [20]	2015	NCT00529503	2b	Dacetuzumab+R-ICE	Chemotherapy	75	59 (22–74)	1	65.3	67.0	33.0	NA
Fayad [20]	2015	NCT00529503	2b	R-ICE	Chemotherapy	76	59 (31–74)	1	71.1	66.0	34.0	NA
Witzig [26]	2017	NCT00166439	2	R-OAD	Chemotherapy	45	69 (23–77)	1 (1–2)	53.3	53.3	46.7	NA
van Imhoff [22]	2017	NCT01014208	3	R-DHAP	Chemotherapy	223	56 (18–79)	1	63.7	9.9	29.6	60.5
van Imhoff [22]	2017	NCT01014208	3	Ofatumumab+DHAP	Chemotherapy	222	57.5 (23–83)	1	62.6	12.6	28.4	58.6
Coyle [31]	2020	NCT02910063	2	Blinatumomab	Others	41	56 (19–75)	2	73.2	NA	NA	68.3
Kuhnl [25]	2020	NCT02060656	2	R-Gemcitabine+ lenalidomide	Others	21	58 (21–75)	1	61.9	76.2	23.8	66.7
Kuhnl [25]	2020	NCT02060656	2	R-GDP	Chemotherapy	19	59 (21–77)	1	73.7	78.9	21.1	63.2
Pan [27]	2021	NCT01458366	2	Ofatumumab+BCE	Chemotherapy	35	62 (41–78)	1 (1–5)	88.6	NA	NA	51.4
Witzens-Harig [28]	2021	NCT01653067	2	Temsirolimus+ R-DHAP	Chemotherapy	53	63 (23–77)	1 (1–2)	64.2	67.9	32.1	49.1
Locke [6]	2022	NCT03391466	3	Axicabtagene ciloleucel	CAR T-cell therapy	180	58 (21–80)	1	77.2	26.1	0.0	73.9
Locke [6]	2022	NCT03391466	3	Chemotherapy+R	Chemotherapy	179	60 (26–81)	1	81.6	26.8	0.0	73.2
Kamdar [7]	2022	NCT03575351	3	Lisocabtagene maraleucel	CAR T-cell therapy	92	60 (53–68 [IQR])	1	73.9	27.2	0.0	72.8
Kamdar [7]	2022	NCT03575351	3	Chemotherapy+R	Chemotherapy	92	58 (42–65 [IQR])	1	68.5	26.1	0.0	73.9
Bishop [11]	2022	NCT03570892	3	Tisagenlecleucel	CAR T-cell therapy	162	59.5 (19–79)	1	66.0	34.0	0.0	66.0
Bishop [11]	2022	NCT03570892	3	Chemotherapy+R	Chemotherapy	160	58 (19–77)	1	61.3	33.1	0.0	66.9

Table 2

Baseline characteristics of trials studying ASCT-ineligible patients

First author	Year	Trial identifier	Phase	Regimen	Category	No. of patients	Median age (range, yr)	Median No. of prior therapies (range)	Stage III/IV (%)	Prior ASCT (%)	Refractory to last treatment (%)
Morschhauser [57]	2007	NA	2	Ibritumomab	Others	28	72 (66–78)	1	NA	NA	32.1
Lopez [33]	2008	NA	2	R-GemOx	Chemotherapy	32	69 (32–85)	2 (NA)	75.0	NA	NA
Smith [59]	2010	NCT00290472	2	Temsirolimus	Others	32	67 (30–87)	2 (1–5)	NA	21.9	NA
Zinzani [50]	2011	NCT00968331	2	R-lenalidomide	Lenalidomide-based therapy	23	74 (64–84)	3 (2–8)	78.3	NA	NA
Ohmachi [35]	2013	NCT01118845	2	R-B	Chemotherapy	59	67 (36–75)	1 (1–3)	61.0	13.6	13.6
Coiffier [60]	2013	NCT00622388	2	Ofatumumab	Others	81	68 (22–87)	3 (1–7)	79.0	30.9	29.6
Barnes [61]	2013	NCT00869999	2	R-everolimus	Others	24	65 (33–88)	4 (1–7)	70.8	20.8	NA
Vacirca [36]	2014	NA	2	R-B	Chemotherapy	61	74 (25–90)	1 (1–9)	88.5	8.2	NA
de Vos [62]	2014	NCT00435916	2	Dacetuzumab	Others	46	72 (17–85)	3 (1–9)	NA	34.8	NA
Arnason [58]	2015	NA	2	Ibritumomab	Others	25	79 (45–95)	2 (0–4)	48.0	NA	24.0
Pettengell [39]	2016	NCT00088530	2	Pixantrone	Chemotherapy	50	60 (28–80)	3 (2–9)	74.0	16.0	44.0
Pettengell [39]	2016	NCT00088530	2	Chemotherapy^a)	Chemotherapy	47	58 (26–77)	3 (2–8)	74.5	14.9	38.3
Papadopoulosa [63]	2016	NCT01007292	2	Sepantronium	Others	41	64 (29–82)	3 (1–7)	75.6	36.6	24.4
Puvvada [64]	2016	SWOG S0520	2	Belinostat	Others	19	69 (52–83)	3 (1–4)	68.4	21.1	26.3
Coiffier [65]	2016	NA	2	R-Coltuximab	Others	52	66.5 (38–85)	2 (0–5)	73.1	13.5	15.4
Assouline [66]	2016	NCT01238692	2	R-Panobinostat	Others	40	60 (29–79)	3 (1–9)	65.0	45.0	75.0
Neelapu [8]	2017	NCT02348216	2	Axicabtagene ciloleucel	CAR T-cell therapy	111	58 (23–76)	3 (2–6)	77.5	18.9	70.3
Schuster [5]	2017	NCT02030834	2	CAR T-cell therapy	CAR T-cell therapy	23	56 (25–77)	3 (1–8)	73.9	39.1	91.3
Czuczman [34]	2017	NCT02285062	2/3	R-GemOx	Chemotherapy	51	65 (20–84)	3 (NA)	NA	33.3	NA
Czuczman [34]	2017	NCT02285062	2/3	Lenalidomide	Lenalidomide-based therapy	51	69 (28–84)	2 (NA)	NA	25.5	NA
Batlevi [67]	2017	NCT00359086	2	Mocetinostat	Others	41	60 (31–80)	3 (1–11)	82.9	34.1	NA
Younes [68]	2017	NCT01693614	2	Buparlisib	Others	26	64 (28–81)	3 (1–12)	61.5	23.1	46.2
Ribrag [69]	2017	NA	2	Abexinostat	Others	17	63 (38–85)	3 (1–10)	64.7	NA	NA
Dang [37]	2018	NCT01232556	3	R-B or Gemcitabine	Chemotherapy	172	69 (28–91)	1 (NA)	75.6	NA	29.7
Trneny [70]	2018	NCT01472887	2	Coltuximab	Others	61	69 (30–88)	2 (1–9)	75.4	19.7	26.2
Burke [71]	2018	NCT01799889	2	Entospletinib	Others	43	68 (27–89)	2 (1–7)	NA	NA	NA
Barnes [72]	2018	NCT01282476	2	Panobinostat	Others	18	68 (37–83)	5 (1–11)	94.4	22.2	77.8
Dang [37]	2018	NCT01232556	3	R-inotuzumab	Others	166	71.5 (18–92)	1 (NA)	74.1	NA	24.1
Zaja [73]	2018	NA	2	Panobinostat	Others	35	73 (65–75 [IQR])	2 (1–4)	77.1	37.1	45.7
Galanina [74]	2018	NCT01278615	2	Selumetinib	Others	16	70 (29–86)	3 (0–6)	NA	NA	NA
Jurczak [56]	2018	NCT01685008	2	Tafasitamab	Tafasitamab	35	71 (35–90)	2 (1–6)	85.7	11.4	45.7
Schuster [9]	2019	NCT02445248	2	Tisagenlecleucel	CAR T-cell therapy	115	56 (22–76)	3 (1–6)	76.5	47.0	54.8
Lugtenburg [42]	2019	NA	2	R-PECC	Chemotherapy	62	70 (45–82)	1 (1–3)	61.3	11.3	22.6
Younes [48]	2019	NCT02329847	2	Ibrutinib+Nivolumab	Ibrutinib-based therapy	45	64 (46–74)	3 (2–3)	NA	NA	NA
Houot [51]	2019	NA	2	Obinutuzumab+ Lenalidomide	Lenalidomide-based therapy	71	70 (48–84)	2 (1–9)	81.7	14.1	53.5
Ansell [75]	2019	NCT02038933	2	Nivolumab	Others	121	65 (24–86)	3 (1–11)	75.2	71.9	36.4
Morschhauser [55]	2019	NCT01691898	2	R-Pinatuzumab	Others	42	69 (61–75)	3 (1–3)	NA	16.7	76.2
Morschhauser [55]	2019	NCT01691898	2	Polatuzumab+R	Polatuzumab-BR	39	68 (55–77)	3 (2–4)	NA	17.9	79.5
Joshi [40]	2020	ACTRN12606000373572	2	R-Ifosfamide+Etoposide	Chemotherapy	30	76 (64–84)	1 (1–3)	60.0	0.0	23.3
Pettengell [41]	2020	PIX306	3	R-Pixantrone	Chemotherapy	155	73 (30–91)	1 (0–3)	72.3	11.0	NA
Pettengell [41]	2020	PIX306	3	R-Gemcitabine	Chemotherapy	157	73 (26–90)	1 (0–3)	75.2	10.2	NA
Sehn [14]	2020	NCT02257567	2	R-B	Chemotherapy	40	71 (30–84)	2 (1–5)	90.0	15.0	85.0
Herrera [47]	2020	NCT02401048	2	Ibrutinib+Durvalumab	Ibrutinib-based therapy	34	67 (22–82)	3 (1–7)	NA	NA	61.8
Sehn [14]	2020	NCT02257567	2	Polatuzumab+R-B	Polatuzumab-BR	40	67 (33–86)	2 (1–7)	85.0	25.0	75.0
Abramson [10]	2020	NCT02631044	2	Lisocabtagene maraleucel	CAR T-cell therapy	269	63 (54–70)	3 (2–4)	NA	36.8	44.2
Sang [32]	2020	NCT03207178	2	CAR T-cell therapy	CAR T-cell therapy	21	55 (23–72)	3 (1–6)	85.7	4.8	NA
Lenz [76]	2020	NCT02391116	2	Copanlisib	Others	67	69 (25–93)	3 (1–13)	82.1	NA	77.6
Kalakonda [15]	2020	NCT02227251	2	Selinexor	Selinexor	127	67 (35–87)	2 (2–5)	NA	29.9	71.7
Salles [16]	2020	NCT02399085	2	Tafasitamab+ Lenalidomide	Tafasitamab	81	72 (41–86)	2 (1–4)	75.3	11.1	44.4
Hu [43]	2021	NCT03579082	2	Decitabine+DHAP	Chemotherapy	20	50.5 (30–65)	2 (2–6)	75.0	0.0	NA
Wilson [44]	2021	NCT02142049	2	Ibrutinib+Lenalidomide-R-EPOCH	Chemotherapy	26	57.5 (28–79)	2 (1–4)	65.4	NA	57.7
Graf [49]	2021	NCT02207062	2	Ibrutinib	Ibrutinib-based therapy	20	68 (35–89)	3 (1–9)	NA	45.0	45.0
Caimi [17]	2021	NCT03589469	2	Loncastuximab	Loncastuximab	145	66 (56–71 [IQR]) 3 (2–6)	77.2	15.9	57.9
Terui [53]	2021	NCT02257567	2	Polatuzumab+R-B	Polatuzumab-BR	35	71 (46–86)	2 (1–7)	68.6	11.4	65.7
Hess [45]	2022	NCT02499003	2	Pixantrone+ Obinutuzumab	Chemotherapy	68	75 (35–86)	3 (1–10)	54.4	17.6	50.0
Murayama [38]	2022	NCT03372837	3	R-B	Chemotherapy	38	74 (43–86)	1 (1–2)	65.8	15.8	NA
Palazon-Carrion [46]	2022	R2-GDP-GOTEL	2	Lenalidomide+R-GDP	Chemotherapy	78	66 (23–86)	2 (1–6)	61.5	17.9	NA
Major [52]	2022	NCT01076543	2	Temsirolimus+ Lenalidomide	Lenalidomide-based therapy	39	65 (25–78)	3 (1–11)	NA	20.5	NA
Sehn [54]	2022	NCT02257567	2	Polatuzumab+R-B	Polatuzumab-BR	106	70 (24–94)	2 (1–7)	79.2	16.0	76.4

ASCT, autologous stem cell transplantation; B, bendamustine; CAR, chimeric antigen receptor; DHAP, cytarabine, cisplatin, and dexamethasone; EPOCH, etoposide, predni-solone, vincristine, cyclophosphamide, and doxorubicin; GDP, gemcitabine, dexamethasone, and cisplatin; IQR, interquartile range; NA, not available; PECC, prednisolone, etoposide, chlorambucil, and lomustine; R-GemOx, rituximab-gemcitabine and oxaliplatin.

^a)

One of vinorelbine, oxaliplatin, ifosfamide, etoposide, mitoxantrone, gemcitabine, or rituximab.

Variable	Univariate analysis				Multivariate analysis

	Coefficient	Standard error	95% CI	p-value	Coefficient	Standard error	95% CI	p-value
Stage III/IV (%)	0.0008	0.0031	−0.0052 to 0.0068	0.790	NA	NA	NA	NA

Complete response < 12 mo (%)	0.0007	0.001	−0.0012 to 0.0027	0.459	NA	NA	NA	NA

Complete response ≥ 12 mo (%)	0.0014	0.0011	−0.0009 to 0.0036	0.225	NA	NA	NA	NA

Primary refractory (%)^a)	−0.0017	0.0017	−0.005 to 0.0017	0.329	−0.0022	0.0017	−0.006 to 0.001	0.183

Complete remission (%)	0.0044	0.0015	0.0014 to 0.0075	0.004	NA	NA	NA	NA

Regimens				0.300

CAR T-cell therapy (reference)	NA	NA	NA	NA	NA	NA	NA	NA

Chemotherapy	−0.0472	0.0662	−0.177 to 0.0826	0.476	−0.1129	0.0766	−0.263 to 0.037	0.141

Other	−0.1937	0.0839	−0.3581 to −0.0293	0.021	−0.2226	0.0925	−0.404 to −0.041	0.016

Variable	Univariate analysis				Multivariate analysis

	Coefficient	Standard error	95% CI	p-value	Coefficient	Standard error	95% CI	p-value
Stage III/IV (%)	−0.0033	0.0022	−0.0075 to 0.0009	0.126	NA	NA	NA	NA

Prior ASCT (%)	−0.0014	0.0015	−0.0044 to 0.0016	0.349	NA	NA	NA	NA

Refractory to last treatment (%)	−0.0001	0.0011	−0.0021 to 0.002	0.939	NA	NA	NA	NA

Median previous lines of treatment	−0.0352	0.0209	−0.0761 to 0.0057	0.092	−0.0421	0.0184	−0.0782 to −0.006	0.022

Complete remission (%)	0.0061	0.0008	0.0045 to 0.0076 < 0.001		NA	NA	NA	NA

Regimens				< 0.001

CAR T-cell therapy (reference)	NA	NA	NA	NA	NA	NA	NA	NA

Chemotherapy	−0.158	0.0571	−0.27 to −0.0461 0.006		−0.2081	0.0578	−0.3214 to −0.0947	< 0.001

Ibrutinib-based therapy	−0.1627	0.0855	−0.3304 to 0.005	0.057	−0.1635	0.0814	−0.323 to −0.004	0.045

Lenalidomide-based therapy	−0.121	0.0772	−0.2723 to 0.0304	0.117	−0.1483	0.074	−0.2934 to −0.0032	0.045

Loncastuximab	−0.1346	0.1131	−0.3562 to 0.0869	0.234	−0.1356	0.106	−0.3434 to 0.0722	0.201

Polatuzumab-BR	−0.033	0.0775	−0.1849 to 0.1189	0.670	−0.0674	0.0749	−0.2141 to 0.0794	0.368

Selinexor	−0.1806	0.113	−0.4022 to 0.0409	0.110	−0.2237	0.1076	−0.4345 to −0.0128	0.038

Tafasitamab	0.0607	0.0967	−0.1289 to 0.2503	0.530	0.0184	0.0937	−0.1652 to 0.202	0.844

Other	−0.2321	0.0557	−0.3414 to −0.1229	< 0.001	−0.2486	0.053	−0.3525 to −0.1447	< 0.001