Several factors that predict the outcome of large B-cell lymphoma patients who relapse/progress after chimeric antigen receptor (CAR) T-cell therapy can be identified before cell administration

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-09-09 DOI:10.1002/cam4.70138
Alice Sýkorová, František Folber, Kamila Polgárová, Heidi Móciková, Juraj Ďuraš, Kateřina Steinerová, Aleš Obr, Adriana Heindorfer, Miriam Ladická, Ľubica Lukáčová, Erika Čellárová, Ivana Plameňová, David Belada, Andrea Janíková, Marek Trněný, Tereza Jančárková, Vít Procházka, Andrej Vranovský, Margaréta Králiková, Jan Vydra, Lukáš Smolej, Ľuboš Drgoňa, Martin Sedmina, Eva Čermáková, Robert Pytlík
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Abstract

Aim

The aim of this study was to analyse the outcomes of patients with large B-cell lymphoma (LBCL) treated with chimeric antigen receptor T-cell therapy (CAR-Tx), with a focus on outcomes after CAR T-cell failure, and to define the risk factors for rapid progression and further treatment.

Methods

We analysed 107 patients with LBCL from the Czech Republic and Slovakia who were treated in ≥3rd-line with tisagenlecleucel or axicabtagene ciloleucel between 2019 and 2022.

Results

The overall response rate (ORR) was 60%, with a 50% complete response (CR) rate. The median progression-free survival (PFS) and overall survival (OS) were 4.3 and 26.4 months, respectively. Sixty-three patients (59%) were refractory or relapsed after CAR-Tx. Of these patients, 39 received radiotherapy or systemic therapy, with an ORR of 22% (CR 8%). The median follow-up of surviving patients in whom treatment failed was 10.6 months. Several factors predicting further treatment administration and outcomes were present even before CAR-Tx. Risk factors for not receiving further therapy after CAR-Tx failure were high lactate dehydrogenase (LDH) levels before apheresis, extranodal involvement (EN), high ferritin levels before lymphodepletion (LD) and ECOG PS >1 at R/P. The median OS-2 (from R/P after CAR-Tx) was 6.7 months (6-month 57.9%) for treated patients and 0.4 months (6-month 4.2%) for untreated patients (p < 0.001). The median PFS-2 (from R/P after CAR-Tx) was 3.2 months (6-month 28.5%) for treated patients. The risk factors for a shorter PFS-2 (n = 39) included: CRP > limit of the normal range (LNR) before LD, albumin < LNR and ECOG PS > 1 at R/P. All these factors, together with LDH > LNR before LD and EN involvement at R/P, predicted OS-2 for treated patients.

Conclusion

Our findings allow better stratification of CAR-Tx candidates and stress the need for a proactive approach (earlier restaging, intervention after partial remission achievement).

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在使用嵌合抗原受体(CAR)T 细胞疗法之前,可以确定预测大 B 细胞淋巴瘤患者复发/进展的几个因素。
目的:本研究旨在分析接受嵌合抗原受体T细胞疗法(CAR-Tx)治疗的大B细胞淋巴瘤(LBCL)患者的预后,重点关注CAR T细胞治疗失败后的预后,并确定快速进展和进一步治疗的风险因素:我们分析了捷克共和国和斯洛伐克的107名LBCL患者,这些患者在2019年至2022年期间接受了tisagenlecleucel或axicabtagene ciloleucel的≥3线治疗:总反应率(ORR)为60%,完全反应率(CR)为50%。中位无进展生存期(PFS)和总生存期(OS)分别为4.3个月和26.4个月。63名患者(59%)在接受CAR-Tx治疗后出现难治或复发。其中,39 名患者接受了放疗或全身治疗,ORR 为 22%(CR 为 8%)。治疗失败的存活患者的中位随访时间为 10.6 个月。即使在 CAR-Tx 治疗之前,也存在一些预测进一步治疗和治疗结果的因素。CAR-Tx治疗失败后不再接受进一步治疗的风险因素包括:无细胞疗法前乳酸脱氢酶(LDH)水平高、结节外受累(EN)、淋巴清扫(LD)前铁蛋白水平高以及R/P时ECOG PS>1。治疗患者的中位OS-2(自CAR-Tx治疗后R/P起)为6.7个月(6个月为57.9%),未治疗患者的中位OS-2为0.4个月(6个月为4.2%)(LD前正常范围p极限(LNR)、白蛋白1)。所有这些因素,加上LD前的LDH > LNR和R/P时的EN受累,预测了治疗患者的OS-2:我们的研究结果有助于更好地对 CAR-Tx 候选者进行分层,并强调需要采取积极主动的方法(早期重新分期、部分缓解后进行干预)。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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