Primary central nervous system lymphoma: the Memorial Sloan-Kettering Cancer Center prognostic model

Efficacy and safety of the R2-MTX regimen in primary central nervous system lymphoma (PCNSL): a single-center retrospective analysis

PURPOSE

Primary central nervous system lymphoma (PCNSL) has a poor prognosis, mainly because of the significant challenges with the efficacy and tolerability of induction chemotherapy. This retrospective study aimed to evaluate the efficacy and safety of the R2-MTX regimen in PCNSL patients.

METHODS

We conducted a retrospective analysis of 39 PCNSL patients treated with the R2-MTX regimen, focusing on treatment outcomes and adverse events (AEs).

RESULTS

The overall response rate (ORR) was 72.2%, with a complete response (CR) rate of 69.4% and a partial response (PR) rate of 2.8%. With a median follow-up of 37.2 months (interquartile range [IQR] 24.2-47.5), the estimated 2-year progression-free survival (PFS) and overall survival (OS) rates were 54.9% (95% CI, 37.2-69.5%) and 78.5% (95% CI, 59.8-89.2%), respectively. The most common grade 3 or 4 AEs included neutropenia (33.3%), leukopenia (13.9%), anemia (2.8%), and thrombocytopenia (2.8%). Consolidation or maintenance therapy was associated with prolonged survival in PCNSL patients (2-year OS rates 100% vs. 42.9%, P = 0.067). Survival analysis revealed that clinicopathological factors, such as double-expressor lymphoma (DEL), ECOG PS ≥ 2, and high-risk classification based on the Memorial Sloan Kettering Cancer Center model (MSKCC), predicted poor survival.

CONCLUSIONS

Our results underscore the therapeutic potential of the R2-MTX regimen in managing newly diagnosed PCNSL patients. Further prospective studies with larger patient cohorts are imperative to solidify these preliminary findings.

High-Dose Methotrexate, Ibrutinib, and Temozolomide in the Treatment of Newly Diagnosed Primary CNS Lymphoma: A Multicenter, Prospective Phase II Study

SIGNIFICANCE

We report promising efficacy and good tolerability of Bruton tyrosine kinase (BTK) inhibitor ibrutinib in treatment of newly diagnosed PCNSL. Additionally, we explored the contribution of ctDNA profiling to predictive potential in this prospective study. The consistency of ctDNA clearance from CSF/plasma was associated with more sustained treatment response and survival.

Machine Learning-Enhanced Cerebrospinal Fluid N-Glycome for the Diagnosis and Prognosis of Primary Central Nervous System Lymphoma

The diagnosis and prognosis of Primary Central Nervous System Lymphoma (PCNSL) present significant challenges. In this study, the potential use of machine learning algorithms in diagnosing and predicting the prognosis for PCNSL based on cerebrospinal fluid (CSF) N-glycomics was investigated. First, CSF samples obtained from a cohort of 60 PCNSL patients and 30 controls were analyzed by hydrophilic interaction-based ultra performance liquid chromatography (HILIC-UPLC)-fluorescence mass spectrometry. Subsequently, nine machine learning models were established to diagnose PCNSL based on the changes of CSF N-glycome, with the Random Forest algorithm proving to be the most effective, achieving an accuracy of 100% in the training set and 89.3% in the test set. Moreover, a COX proportional-hazard model and a nomogram incorporating CSF N-glycome (GP6 and GP27) along with clinical data (age) were crafted. This nomogram's discrimination capacity was considered satisfactory, as evidenced by a C-index of 0.804 (95% CI: 0.68, 0.927). The study reveals that machine learning models based on CSF N-glycome offer a valuable approach for diagnosing and prognosticating PCNSL, demonstrating high accuracy and sensitivity in both classification and survival analysis. These findings may offer new insights into the molecular mechanisms underlying PCNSL and contribute to the advancement of personalized medicine for patients with this disease.

Consolidation Regimen and Cerebral Atrophy in Patients With Primary Central Nervous System Lymphoma

PURPOSE

In primary central nervous system lymphoma (PCNSL), the extent to which post-methotrexate consolidation contributes to neurotoxicity is unclear. Concerns for neurotoxicity from standard dose whole-brain radiation therapy (WBRT) have led to declining use. Cerebral atrophy is an established surrogate for neurotoxicity; however, the relative extent to which modern consolidation (ie, reduced-dose [RD-]WBRT ≤24 Gy, autologous hematopoietic cell transplant) contributes to cerebral atrophy is unclear.

METHODS AND MATERIALS

Patients with PCNSL from 2000-2020 who achieved a complete response to consolidation following methotrexate-based induction were included. Inclusion criteria were preconsolidation magnetic resonance imaging (baseline) and ≥1 magnetic resonance imaging showing sustained remission at 1, 3, 5, or 10 years. An expert neuroradiologist longitudinally measured parenchymal volume loss via ventricular volumetric change. Linear mixed-effects models were performed to estimate absolute and annual volumetric change rates.

RESULTS

Of 139 patients (median follow-up, 4.5 years), most were Memorial Sloan Kettering Cancer Center (MSK) recursive partitioning analysis (RPA) class 2 (age ≤50 years, Karnofsky performance score (KPS) ≥70). Consolidation therapies included nonmyeloablative chemotherapy (n = 57; 41%), high-dose myeloablative chemotherapy with autologous hematopoietic cell transplant (n = 50; 36%), and RD-WBRT (n = 28; 20%). A higher MSK RPA class was associated with greater baseline ventricular volume (P < .001). Overall adjusted annual ventricular volume change rates were greater than those published in healthy controls (4.3% vs 1.8%) and generally increased by age/decade at diagnosis: 40 to 49-year-olds 1.8% (95% CI, -1.4% to 5.0%), 50 to 59-year-olds 3.1% (95% CI, 0.7%-5.5%), 60 to 69-year-olds 4.8% (95% CI, 2.4%-7.3%), 70 to 79-year-olds 7.2% (95% CI, 4.3%-10.2%), and 80 to 89-year-olds 4.2% (95% CI, -1.1% to 9.6%). There were no significant associations between consolidation strategy and ventricular volume change rates accounting for age, KPS, gender, baseline ventricular volume, or interaction between age and consolidation.

CONCLUSIONS

These findings demonstrate accelerated cerebral atrophy in PCNSL after consolidation compared with healthy adults. However, atrophy did not differ by consolidation strategy. These long-term results suggest acceptable neurotoxicity following RD-WBRT.

Hans's algorithm and MYD88L265P mutation may affect prognosis of primary central nervous system B-cell lymphoma

Primary central nervous system (CNS) lymphomas account for 1.9-3% of all brain tumors, with the majority being histologically classified as primary large B-cell lymphoma of the CNS (PCNS-LBCL). PCNS-LBCL is characterized by mature germinal center-exit B cells, and most cases of this phenotype are classified as activated B-cell-like phenotype according to gene expression profiling, or as non-germinal center B-cell-like phenotype (non-GCB type) according to Hans's algorithm. Genetically, PCNS-LBCL often shows mutations in MYD88L265P and CD79BY196, and is similar to MCD or C5 in genetic subtypes. Therefore, we here investigated the clinicopathological and molecular characteristics of primary CNS B-cell lymphomas (PCNSBLs), focusing on the differences in the frequency of MYD88L265P and CD79BY196 mutations, as well as the prognosis between GCB and non-GCB types. Forty-two patients with PCNSBLs were included in this study, with 12 (28.6%) classified as GCB type and 30 (71.4%) as non-GCB type. There were no significant differences between the two types in gender, tumor location, or frequency of MYD88L265P and CD79BY196 mutations. Even after consideration of the confounding of age and the presence of R-MPV therapy, the GCB type PCNSBLs tended to exhibit better prognosis. Overall survival tended to be better in those with the GCB/MYD88L265P mutation (-) group, followed by the GCB/MYD88L265P mutation (+) group, and the non-GCB type. We speculate that Hans's algorithm and MYD88L265P mutation may have potential prognostic value for PCNSBLs.

Primary Central Nervous System Lymphomas: A Single-Center Experience

Objectives

Primary central nervous system lymphoma (PCNSL) is a rare and aggressive form of non-Hodgkin lymphoma (NHL). This study aimed to investigate the characteristics, treatment approaches, and outcomes of patients with PCNSL in a single institution.

Methods

We retrospectively analyzed 11 patients with PCNSL treated at our institution between October 2022 and July 2024. Patient demographics, clinical characteristics, treatment modalities, and outcomes were evaluated.

Results

The median age of the patients was 65 years, with male predominance (63.64%). The median follow-up duration was 10 months. All patients were immunocompetent, and 90.91% had diffuse large B-cell lymphoma. At diagnosis, 81% of the patients were considered fit to receive HDMTX treatment. R-MPV was the most common first-line treatment (45.45%). The complete response rate to initial treatment was 80%. The treatment-related mortality was 9.09%. Autologous stem cell transplantation (ASCT) was performed in 72.73% of the patients, with rituximab-thiotepa-carmustine as the predominant conditioning regimen (62.50%). Treatment-related toxicities occurred in 50% of patients, and 87.50% of patients experienced transplant-related complications. The transplantation-related mortality rate was 25%. The relapse rate was 25% among the patients undergoing ASCT. The mortality rate was 36.36%, and cerebellar involvement was significantly associated with a higher mortality rate (p=0.045).

Conclusion

This study demonstrated the efficacy of methotrexate-based regimens and ASCT in the treatment of PCNSL and achieved high complete response rates. However, the significant incidence of treatment-related toxicities and mortality underscores the persistent challenges of managing this disease. In addition, the association between cerebellar involvement and increased mortality requires further investigation. Larger prospective studies are needed to validate these findings.

Identification of genomic biomarkers of disease progression and survival in primary CNS lymphoma

ABSTRACT

The determination of the genetic subtypes of primary central nervous system lymphoma (PCNSL) and their relationship to differential chemoimmunotherapeutic response has not been established. There is a particular need for genomic biomarkers that identify patients with newly diagnosed PCNSL at high risk of early progression and death. We applied targeted next-generation sequencing for detection of recurrent single-nucleotide variants, copy number alterations, and zygosity abnormalities in diagnostic specimens from 78 patients with PCNSL treated with a standard methotrexate-based regimen, to identify prognostically significant molecular subgroups. All patients received induction immunochemotherapy, and 44 proceeded to dose-intensive consolidation. Genomic aberrations at 4 loci were associated with 91% of lymphoma progression events and all 15 deaths: (1) chromosome 6p copy-neutral loss of heterozygosity (CN-LOH) or focal homozygous deletion (HD) at 6p21.3, and mutations of tumor suppressor genes (2) BTG1, (3) ETV6, and (4) TP53. Cox regression multivariate analysis demonstrated a high risk of progression in patients with aberrations at these loci. Genomic aberrations at these loci were also associated with significantly shorter survival. Lower expression of HLA-DR was associated with 6p CN-LOH/6p21.3 HD and inferior prognosis. These genomic aberrations identify a high-risk molecular subgroup that may inform risk stratification in PCNSL. Further elucidation of the mechanisms of therapeutic resistance associated with the high-risk genetic phenotype is requisite to facilitate precision medicine and progress in therapy.

Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning

PURPOSE

In primary central nervous system lymphoma (PCNSL), B-cell lymphoma-6 (BCL-6) is an unfavorable prognostic biomarker. We aim to non-invasively detect BCL-6 overexpression in PCNSL patients using multiparametric MRI and machine learning techniques.

METHODS

65 patients (101 lesions) with primary central nervous system lymphoma (PCNSL) diagnosed from January 2013 to July 2023, and all patients were randomly divided into a training set and a validation set according to a ratio of 8 to 2. ADC map derived from DWI (b = 0/1000 s/mm2), fast spin echo T2WI, T2FLAIR, were collected at 3.0 T. A total of 2234 radiomics features from the tumor segmentation area were extracted and LASSO were used to select features. Logistic regression (LR), Naive bayes (NB), Support vector machine (SVM), K-nearest Neighbor, (KNN) and Multilayer Perceptron (MLP), were used for machine learning, and sensitivity, specificity, accuracy F1-score, and area under the curve (AUC) was used to evaluate the detection performance of five classifiers, 6 groups with combinations of different sequences were fitted to 5 classifiers, and optimal classifier was obtained.

RESULTS

BCL-6 status could be identified to varying degrees with 30 models based on radiomics, and model performance could be improved by combining different sequences and classifiers. Support vector machine (SVM) combined with three sequence group had the largest AUC (0.95) in training set and satisfactory AUC (0.87) in validation set.

CONCLUSION

Multiparametric MRI based machine learning is promising in detecting BCL-6 overexpression.

Comparison of outcomes in postinduction strategies for primary central nervous system lymphoma: a Mayo Clinic experience

ABSTRACT

Primary central nervous system lymphoma (PCNSL) is a rare form of non-Hodgkin lymphoma involving the brain, cerebrospinal fluid, or retina/vitreous without systemic involvement. Induction with high-dose methotrexate (HD-MTX) followed by consolidation with autologous stem cell transplant (auto-SCT) has become the standard treatment paradigm for most patients. However, limited data are available regarding the efficacy of a maintenance approach with HD-MTX. Herein, we retrospectively reviewed the characteristics and outcomes of 148 patients diagnosed with PCNSL between October 2010 and June 2022, who underwent HD-MTX-based induction therapy followed by either auto-SCT consolidation (n = 70) or HD-MTX maintenance therapy (n = 37). At a median follow-up time of 4.5 years, the progression-free survival (PFS) was 8.3 years and the overall survival (OS) was not reached. Compared to patients who underwent auto-SCT, patients who received maintenance HD-MTX had a higher median age at diagnosis of 72 vs 62 years and a trend toward higher proportion of patients being Eastern Cooperative Oncology Group 2 or higher (41% vs 29%). At 5-years postinduction treatment initiation, the PFS rates in the auto-SCT cohort and HD-MTX maintenance cohort were 74.6% and 72.6%, respectively, and the OS rates were 76.0% and 82.4%, respectively. Overall, there was no significant difference in PFS or OS based on postinduction management strategy. Our data suggest that maintenance HD-MTX may be a reasonable, time-limited treatment strategy for patients with PCNSL responding to initial induction therapy.

Impact of Systemic and Radiation Therapy on Survival of Primary Central Nervous System Lymphoma

Introduction: Treatment for primary central nervous system lymphoma (PCNSL) includes high-dose methotrexate (HD-MTX)-based systemic therapy. Multiple regimens exist with no clear standard of care. We evaluated the impact of different therapies on PCNSL outcomes at a single institution. Materials and Methods: A total of 95 consecutive patients with PCNSL from 2002 to 2021 were retrospectively reviewed. The overall survival (OS) and progression-free survival (PFS) were estimated by the Kaplan-Meier method. The log-rank test and univariate and multivariable Cox regression analysis were used to evaluate the relationship between clinicopathologic and treatment variables with outcomes. Results: Among the 62 patients treated with definitive systemic therapy, the median age was 58; 71% had a Karnofsky performance status > 70, 49% had a single lesion, 31% received HD-MTX alone, and 61% had HD-MTX + rituximab. The two-year OS and PFS were 64% (95% CI: 49.8-75.0%) and 49% (95% CI: 35.0-60.9%), respectively. On multivariable analysis, the completion of > six cycles of HD-MTX (HR 0.40; 95% CI: 0.21-0.76; p = 0.01) was associated with superior OS, while the use of rituximab was associated with inferior OS (HR 2.82; 95% CI: 1.37-5.83; p = 0.01). There were no significant associations between the OS and PFS with temozolomide, the extent of surgical resection, radiation, or the size or number of initial lesions (all p > 0.05). Discussion: Innovation is needed to improve the outcomes for patients with PCNSL.

A Nomogram for Predicting Overall Survival in Primary Central Nervous System Lymphoma: A Retrospective Study

Purpose

Current prognostic scoring systems for newly diagnosed primary central nervous system lymphoma (PCNSL), such as IELSG prognostic score and MSKCC prognostic score, are widely used but have limitations in clinical practice. This study aimed to develop a novel prognostic model based on real clinical data and compare it with existing systems.

Patients and Methods

A total of 288 patients newly diagnosed with PCNSL were recruited. Patients were randomly allocated to the development and validation cohorts. The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis were used to identify the risk factors for overall survival (OS) and construct a nomogram. Additionally, Kaplan-Meier survival curves were plotted to show the stratification ability of the risk groups.

Results

Eastern Cooperative Oncology Group performance status (ECOG-PS), albumin, and two inflammatory biomarkers D-Dimer, and neutrophil-to-lymphocyte ratio (NLR)-were independent predictors of inferior OS. The prognostic model demonstrated concordance Index (C-index) of 0.731 and 0.679 in the development and validation cohorts, respectively. In terms of the time dependent area under the curve (AUC) values for OS, the development cohort exhibited values of 0.765, 0.762, and 0.812 for 1-year, 3-year, and 5-year OS, respectively. The corresponding AUC values in the validation cohort were 0.711, 0.731, and 0.840, respectively. The calibration curves showed excellent concordance. The novel prognostic model also provided superior risk stratification for patients with PCNSL compared with existing scoring systems.

Conclusion

This study presents a novel prognostic model for predicting the OS of patients with newly diagnosed PCNSL. The model accurately and effectively stratifies the prognosis of patients with PCNSL and offers valuable clinical guidance for decision making.

High-dose methotrexate-based chemotherapy for induction remission of newly diagnosed primary CNS lymphoma: A systematic review and meta-analysis

BACKGROUND

This study aimed to comprehensively assess the optimal regimen for high-dose methotrexate (HD-MTX) in treating primary central nervous system lymphoma (PCNSL).

METHODS

We have searched 8 databases, including PubMed, EMBASE, Cochrane Library, WOS, Epistemonikos, CNKI, WAN-FANG Database, and CBM, and were selected for the clinical trials about PCNSL. A total of 37 studies were included in our analysis, consisting of 6 randomized controlled trials and 31 single-arm clinical studies.

RESULTS

After analyzing the data from 37 clinical studies, we found that the pooled overall response rate (ORR) for low-dose (<3 g/m2), medium-dose (3-5 g/m2), and high-dose (>5 g/m2) methotrexate (MTX) were 0.78, 0.80, and 0.80, respectively. The pooled 2-year overall survival (OS) for low-dose, medium-dose, and high-dose MTX were 52%, 60%, and 71%, respectively. The ORR, complete response (CR), and 2-year OS of patients who received <5 cycles of MTX were 79%, 41%, and 59%, respectively, whereas those for PCNSL patients who received >5 cycles of MTX were 81%, 54%, and 64%, respectively. The pooled ORR for MTX, dual therapy, triplet therapy, tetrad therapy, and multiple therapy were 71%, 70%, 81%, 85%, and 80%, respectively. The pooled 2-year OS for different numbers of medication combinations were 59%, 52%, 66%, 63%, and 60%, respectively. The addition of cytarabine to MTX-based chemotherapy resulted in higher CR, although no statistically significant difference was observed in OS. Adding rituximab to the treatment regimen improved patients' progression-free survival without affecting treatment response or OS.

CONCLUSION

Based on the findings of this study, the treatment strategies of MTX are associated with the prognosis and efficacy response of PCNSL patients. The results suggested that the current recommended HD-MTX dosage of 3.5 g/m2 is sufficient for PCNSL to have a favorable treatment response and prognosis. When the number of MTX treatment cycles increases, the therapeutic effect and prognosis of PCNSL patients are improved. The patients treated with MTX-based triplet combination regimens have a better ORR and CR. Although HD-MTX is generally well tolerated, it is necessary to be cautious about the use of multiple therapy that includes cytarabine to prevent potential acute toxicity.

The contemporary spectrum of radiotherapy for hematologic malignancies involving the central nervous system: From focal therapy to craniospinal

The contemporary landscape of systemic therapy options for hematologic malignancies involving the central nervous system (CNS-HM) is rapidly evolving; a key question is how radiotherapy (RT) can be optimally integrated to improve patient outcomes. Historically, use of RT to treat CNS-HM was defined by broad fields and high doses. While effective, this approach raised concerns of potential neurotoxicity which significantly decreased RT utilization. RT was replaced by high-dose, CNS-penetrant, systemic therapies that offered durable control with lower perceived neurotoxic risk. But, as the therapeutic toolbox for CNS-HM expands, so too does the complexity and diversity of potential clinical scenarios where RT should be considered. In this review, we describe both well-established and emerging opportunities for RT integration, emphasizing how dose selection and field design could balance neurotoxicity risk and disease control. We propose an anatomical framework that captures the diverse utilization of RT for CNS-HM and serves as a practical guide for RT volume and dose design.

Clinicopathological risk factors for prognosis and therapeutic response of primary central nervous system lymphoma in China: a single-center retrospective analysis of 118 cases

To investigate the prognostic significance of clinicopathological factors in patients with primary central nervous system lymphoma (PCNSL) in a single center. Patients newly diagnosed with PCNSL at our center were recruited between January 2019 and March 2023. Baseline demographic and clinicopathological data were collected retrospectively. The Kaplan-Meier method and Cox regression analysis were performed for survival analyses. A total of 118 patients were enrolled. The median age was 64 (IQR, 54-68). The median progression-free survival (PFS) and overall survival (OS) were 12.70 (95%CI, 9.73-23.30) months and 36.87 (95%CI, 25.57-NR) months, respectively. KPS < 70 and ECOG ≥ 3 were significantly associated with worse PFS and OS. High International Extranodal Lymphoma Study Group (IELSG) score (IELSG 4-5) and high-risk Memorial Sloan-Kettering Cancer Center (MSKCC) score were also adverse factors for PFS and OS. BTK inhibitors (BTKi) therapy (HR 0.39, 95% CI, 0.18-0.86, p = 0.020) and consolidation therapy (HR 0.19, 95% CI, 0.06-0.64, p = 0.007) were confirmed as independent favorable factors for OS. A high NK lymphocyte proportion was associated with worse OS (p = 0.008). Patients in the high NK lymphocyte group experienced a higher rate of primary tumor resistance (57.14%) than the low NK lymphocyte group (33.33%). KPS < 70, ECOG ≥ 3, IELSG 4-5, and high-risk MSKCC score are adverse factors for PFS and OS. Importantly, BTKi therapy and consolidation therapy are independent favorable factors for OS. Peripheral lymphocyte immunophenotyping could be a potential predictive indicator for prognosis and therapeutic response in PCNSL.

Bilateral primary vitreoretinal lymphoma masquerading as fungal endophthalmitis- a case report

PURPOSE

To report a case of bilateral primary vitreoretinal lymphoma (PVRL) masquerading as endophthalmitis in a patient with a history of bilateral cataract surgery and COVID-19.

OBSERVATION

A 60-year-old male patient presented with diminution of vision in both the eyes. There was a history of bilateral cataract surgery done 2 months back at a gap of one week and COVID-19 infection treated with high dose systemic corticosteroids. Patient presented with dense vitritis with yellowish sub-retinal pigment epithelium (RPE) deposits in both the eyes six weeks after cataract surgery. It was clinically suspected to be endophthalmitis. Diagnostic vitrectomy was done in both the eyes and vitreous sample was negative on microbiological and cytological examination. Multimodal imaging along with sub retinal biopsy helped in confirming the diagnosis. Management was done using multiple intravitreal methotrexate injections and remission was achieved.

CONCLUSION

Vitritis with sub-RPE yellowish deposits may be mistaken for infectious endophthalmitis specially in a patient with a history of intraocular surgery or immunosuppression. PVRL is a great masquerader and is to be kept in mind while diagnosing a middle-aged patient with infectious or non-infectious uveitis.

Evolving consolidation patterns and outcomes for a large cohort of patients with primary CNS lymphoma

ABSTRACT

Consolidation for primary central nervous system lymphoma (PCNSL) after induction chemoimmunotherapy include whole-brain radiotherapy (WBRT; ≤24 Gy reduced-dose [RD], >24 Gy standard-dose) and cytarabine, nonmyeloablative chemotherapy (NMC), or autologous hematopoietic cell transplantation (AHCT). Comparative outcomes are lacking. Outcomes from 1983-2020 were stratified by decade and Memorial Sloan Kettering Cancer Center recursive partitioning analysis (RPA) class. Clinicodemographic associations were analyzed by multinomial logistic regression. Progression-free survival (PFS) and overall survival (OS) were analyzed by proportional hazards. Of 559 patients, 385 (69%) were consolidated. Median follow-up and OS were 7.4 and 5.7 years, respectively. WBRT use declined (61% (1990s) vs 12% (2010s)), whereas AHCT (4% (1990s) vs 32% (2010s)) and NMC (27% (1990s) vs 52% (2010s)) rose. Compared with RPA 1, RPA 2 was more likely to receive NMC. Those with partial response to induction were less likely to receive AHCT (odds ratio, 0.36; P = .02). Among 351 with complete response to consolidation, only receipt of rituximab, methotrexate, procarbazine, and vincristine induction was associated with improved PFS (hazard ratio, 0.5; P = .006). Among RPA 1, median PFS and OS were not reached for AHCT or RD-WBRT, vs 2.5 and 13.0 years, respectively, after NMC. Among RPA class 3, median PFS and OS after RD-WBRT were 4.6 and 10 years, vs 1.7 and 4.4 years after NMC. No significant adjusted survival differences were seen across consolidation strategies. NMC is increasingly used in lieu of RD-WBRT despite a trend toward less favorable PFS. RD-WBRT can be considered in patients ineligible for AHCT.

Clinical characteristics and survival outcomes of patients with primary central nervous system lymphoma treated with high-dose methotrexate-based polychemotherapy and consolidation therapies

Given the rarity of primary central nervous system lymphoma (PCNSL), evaluations of different high-dose methotrexate-(HD-MTX)-based treatment regimens is sparse. This retrospective, multicenter study evaluates clinical characteristics and outcomes (progression-free, overall and disease-specific survival) after five HD-MTX-based polychemotherapeutic regimens and two consolidation therapies. 346 patients with histologically confirmed PCNSL, treated with ≥ 1 cycle HD-MTX-based strategies (≥3g/m2/cycle) were included. The regimens included MATRIX (HD-MTX, HD-AraC, thiotepa, and rituximab), (R)MBVP±HD-AraC (HD-MTX, teniposide/etoposide, carmustine, prednisolone, ± HD-AraC, ± rituximab), (R)MP (HD-MTX, procarbazine, ± rituximab), and a combination of HD-MTX and HD-AraC. The overall response rate after induction was 69 %, 28 % complete remission and progressive disease was observed in 100 (29 %) patients. 126 (36 %) patients received consolidation, including high-dose-BCNU-thiotepa with autologous stem cell transplantation (HD-BCNU-TT/ASCT, n = 59 (17 %)) or whole brain radiotherapy (WBRT, n = 67 (19 %)). Clinical characteristics associated with adverse mortality risk by multivariable prognostication contained age > 60 years (HR 1.61, p = 0.011), elevated LDH (HR 1.75, p = 0.004) and WHO status ≥ 2 (HR 1.56, p = 0.010). Independently, induction regimens containing HD-AraC demonstrated survival benefit compared to induction regimens without HD-AraC (HR 0.59, p = 0.002). Without preference for HD-BCNU-TT/ASCT or WBRT, a favorable effect of consolidation (HR 0.44 and HR 0.42, p < 0.001) was confirmed, also with consolidation as time-dependent variable. Competing risk analysis showed similar low incidence of lymphoma-unrelated deaths in consolidated and unconsolidated patients. This study confirms that age, elevated LDH and WHO status increase the mortality risk. HD-AraC containing treatment regimens and consolidation with HD-BCU-TT/ASCT or WBRT were associated with superior survival, including a favorable low incidence of lymphoma-unrelated deaths.

Association between microenvironment-related genes and prognosis of primary central nervous system lymphoma

Background

Primary central nervous system lymphoma (PCNSL) is a rare lymphoid malignancy. Systemic profiling of the PCNSL tumor microenvironment (TME) was previously conducted through gene expression analysis. We investigated the prognostic impact of TME on survival to establish novel prognostic biomarkers in PCNSL patients.

Methods

We analyzed expression levels of 770 neuroinflammation-related (NFR) genes via NanoString nCounter technology in tumor samples from 30 PCNSL patients. Genes related to the "recurrence group (RG)" or "non-recurrence group (NRG)" were identified and validated using whole transcriptomic analysis of an independent PCNSL cohort (n = 30).

Results

Forty-five of 770 NFR genes were highly expressed in the RG (3-year overall survival (OS, 22.2%), compared with the NRG group (3-year OS 66.7%). Signatures related to glial cells were enriched in the RG-associated gene set. Multivariate analysis revealed that high expressions of TUBB4A (p = 0.028, HR: 3.88), S100B (p = 0.046, HR: 3.093), and SLC6A1 (p = 0.034, HR: 3.765) were significantly related to death. Expression levels of these three genes were also significantly associated with poor OS in the validation cohort. Immunohistochemical staining against TUBB4A, S100B, and proteins specific to glial cells (GFAP, OLIG2, and CD68) revealed significantly higher positivity in RG glial cells.

Conclusion

These data suggest that TME-related genes play a crucial role in the pathogenesis of PCNSL, complementing the well-known involvement of the NF-kB signaling pathway. TME targeting, especially glial cell-specific proteins, may thus open new and complementary avenues of therapy for all stages of PCNSL.

Advances in Primary Central Nervous System Lymphoma

PURPOSE OF REVIEW

Optimal initial management can have a significant impact in long-term outcome in primary CNS lymphoma. This article reviews recent advances and the state of the field.

RECENT FINDINGS

Genomic analysis of CSF cell-free DNA has emerged as a new diagnostic tool for PCNSL. Treatment options have likewise evolved, with mature data from first-line chemotherapy-based prospective trials disclosing excellent results in younger (< 60-65) patients, with a cure achieved in a majority. However, results in older patients remain dismal, with several new salvage options under investigation including BTK pathway-targeted therapies, and CAR-T cell treatments. Meanwhile, low-dose radiation has emerged as an additional alternative for consolidation therapy. For younger PCNSL patients, the goal of treatment is now a cure, with the next frontier being the development of therapies affording optimized neurocognitive outcome and lower toxicity. Treatment for older patients remains however an unmet need, with several promising clinical trials ongoing.

Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR

BACKGROUND

The metabolic response of primary central nervous system lymphoma (PCNSL) patients has yet to be evaluated. This study aimed to assess the prognostic value of a novel scoring scale, the intracranial metabolic score (IMS), in PCNSL patients receiving end-of-therapy 18F-FDG PET/CT (EOT-PCT) and PET/MR (EOT-PMR).

METHODS

The IMS was determined based on the metabolism of normal intracranial structures, including gray matter, white matter, and cerebrospinal fluid. The EOT-PCT cohort was evaluated using the IMS and commonly used Deauville score (DS). Another cohort of patients who underwent the EOT-PMR was used to validate the accuracy of the IMS.

RESULTS

In total, 83 patients were included in the study (38 in PET/CT cohort, and 45 in PET/MR cohort). The area under the curve (AUC) values of the IMS for predicting PFS and OS were superior to those of the DS. When patients in the PET/CT cohort were stratified into five groups (respectively labeled IMS 1-5), three groups (IMS1-2, IMS 3-4, and IMS 5), or two groups (IMS1-3 and IMS4-5; IMS 1-4 and IMS 5), a higher IMS score was significantly correlated with poorer PFS and OS (p < 0.001). Similar results were observed for PFS in the PET/MR cohort (p < 0.001). The IMS and DS scale were found to be independent prognostic indicators for PFS and OS in the PET/CT cohort, and the IMS was identified as the sole independent prognostic indicator for PFS in the PET/MR cohort.

CONCLUSION

The IMS as a novel and effective prognostic tool for PCNSL patients, showing superior predictive value for patients' outcomes compared to the DS when assessed with EOT-PET scans.

Outcomes and relapse patterns in primary central nervous system lymphoma: Longitudinal analysis of 559 patients diagnosed from 1983 to 2020

BACKGROUND

Contemporary outcomes and relapse patterns in primary CNS lymphoma (PCNSL) are lacking. We analyzed factors associated with relapse in a large cohort with extensive follow-up.

METHODS

T1-post-contrast-enhancing disease was characterized in immunocompetent PCNSL (diffuse large B-cell) patients from 1983 to 2020. Patients were stratified by response to induction and consolidation (complete/unconfirmed [CR/CRu], partial, stable, progression [POD]). Refractory was POD during (or relapse ≤3 months of) induction. Initial relapse site was categorized as local (involving/adjacent to baseline), distant intraparenchymal, leptomeningeal, or other. Progression-free (PFS) and overall survival (OS) were assessed with proportional hazards. Cumulative incidence with competing risks was used to assess local relapse.

RESULTS

Median follow-up was 7.4 years (N = 559). Most (321, 57%) were recursive partitioning analysis class 2 (age ≥50, Karnosfky Performance Status [KPS] ≥70). Most had supratentorial (420, 81%), multifocal (274, 53%), bilateral (224, 43%), and deep structure involvement (314, 56%). Nearly all received methotrexate-based induction (532, 95%). There was no difference in PFS or OS from consolidation based on initial response to induction (CR/CRu vs PR) in patients who ultimately achieved a CR/CRu to consolidation. PFS at 1-, 5 years for 351 patients with CR/CRu to consolidation was 80% (95% confidence interval [95% CI]: 76%-84%) and 46% (95% CI: 41%-53%), respectively; 1-year cumulative incidence of local versus nonlocal relapse was 1.8% versus 15%, respectively. For 97 refractory patients, 1-year cumulative incidence of local versus nonlocal relapse was 57% versus 42%, respectively. Deep structure involvement (HR 1.89, 95% CI: 1.10%-3.27%) was associated with local relapse in refractory patients.

CONCLUSIONS

We report the first comprehensive relapse patterns in a large PCNSL cohort. While relapses post-CR to consolidation are typically distant and unpredictable, refractory patients had a relatively high incidence of local relapse. These findings can help optimize multimodality therapy for this highest-risk population.

Clinical characteristics and prognosis of patients with newly diagnosed primary central nervous system lymphoma: a multicentre retrospective analysis

Bruton's tyrosine kinase inhibitors (BTKi) exhibit superior efficacy in relapsed/refractory primary central nervous system lymphoma (PCNSL), but few studies have evaluated patients with newly diagnosed PCNSL, and even fewer studies have evaluated differences in efficacy between treatment with BTKi and traditional chemotherapy. This study retrospectively analyzed the clinical characteristics of 86 patients with PCNSL and identified predictors of poor prognosis for overall survival (OS). After excluding patients who only received palliative care, 82 patients were evaluated for efficacy and survival. According to the induction regimen, patients were divided into the traditional chemotherapy, BTKi combination therapy, and radiotherapy groups; the objective response rates (ORR) of the three groups were 71.4%, 96.2%, and 71.4% (P = 0.037), respectively. Both median progression-free survival and median duration of remission showed statistically significant differences (P = 0.019 and P = 0.030, respectively). The median OS of the BTKi-containing therapy group was also longer than that of the traditional chemotherapy group (not reached versus 47.8 (32.5-63.1) months, P = 0.038).Seventy-one patients who achieved an ORR were further analyzed, and achieved an ORR after four cycles of treatment and maintenance therapy had prolonged OS (P = 0.003 and P = 0.043, respectively). In conclusion, survival, and prognosis of patients with newly diagnosed PCNSL are influenced by the treatment regimen, with the BTKi-containing regimen showing great potential.

[Treatment of refractory diffuse large B-cell lymphoma involving the central nervous system with polatuzumab vedotin-based regimen: a case report and literature review]

Polatuzumab vedotin (Pola) is a novel antibody-drug conjugate targeting CD79b, which has been shown to be effective in treating newly diagnosed and relapsed/refractory diffuse large B cell lymphoma (DLBCL) during clinical trials. This study aims to conduct a retrospective analysis of the clinical characteristics, diagnosis, and treatment of a patient with refractory secondary central nervous system lymphoma at Beijing Hospital, alongside a review of relevant literature. This study included a 79-year-old female patient who was diagnosed with DLBCL affecting the ilium, sacrum, spinal cord, and nerve roots and had an IPI score of 5 and a high-risk score according to MSKCC. She showed a geriatric comprehensive assessment (IACA) score of 2, which was categorized under the unfit group. Her initial treatment comprised chemo-free therapy and radiotherapy, followed by progression. In the second-line treatment, a Pola-based regimen was applied, and the patient achieved a complete response, suggesting that this regimen may be a therapeutic option for patients with DLBCL involving the central nervous system.

Survival outcomes and treatment experience of 124 patients with primary central nervous system lymphoma

PURPOSE

Primary central nervous system lymphoma (PCNSL) is a rare malignancy of the central nervous system with high invasiveness. There is little consensus on the treatment of PCNSL. This study retrospectively studied data from PCNSL patients in a single center to summarize treatment experience and explore prognostic factors.

METHODS

Survival curves were drawn using the Kaplan-Meier method and prognostic factors were analyzed using Cox's hazards model.

RESULTS

In multivariate analysis, cerebrospinal fluid lactic acid dehydrogenase (CSF LDH; p = 0.005 and p = 0.002), neutrophil to lymphocyte ratio (NLR; p = 0.014 and p = 0.038), and completion of four cycles of induction therapy (p < 0.001and p < 0.001) were significant and independent predictors of overall survival (OS) and progression-free survival (PFS), respectively.

CONCLUSION

On the basis of this study, we propose that PCNSL patients should receive early induction therapy with sufficient cycles. Subsequent consolidation therapy can prevent relapses and improve survival. In patients with PCNSL, the independent prognostic factors for OS and PFS were CSF LDH level, NLR, and full cycles of induction therapy.

Radiomic prediction for durable response to high-dose methotrexate-based chemotherapy in primary central nervous system lymphoma

BACKGROUND

The rarity of primary central nervous system lymphoma (PCNSL) and treatment heterogeneity contributes to a lack of prognostic models for evaluating posttreatment remission. This study aimed to develop and validate radiomic-based models to predict the durable response (DR) to high-dose methotrexate (HD-MTX)-based chemotherapy in PCNSL patients.

METHODS

A total of 159 patients pathologically diagnosed with PCNSL between 2011 and 2021 across two institutions were enrolled. According to the NCCN guidelines, the DR was defined as the remission lasting ≥1 year after receiving HD-MTX-based chemotherapy. For each patient, a total of 1218 radiomic features were extracted from prebiopsy T1 contrast-enhanced MR images. Multiple machine-learning algorithms were utilized for feature selection and classification to build a radiomic signature. The radiomic-clinical integrated models were developed using the random forest method. Model performance was externally validated to verify its clinical utility.

RESULTS

A total of 105 PCNSL patients were enrolled after excluding 54 cases with ineligibility. The training and validation cohorts comprised 76 and 29 individuals, respectively. Among them, 65 patients achieved DR. The radiomic signature, consisting of 8 selected features, demonstrated strong predictive performance, with area under the curves of 0.994 in training cohort and 0.913 in validation cohort. This signature was independently associated with the DR in both cohorts. Both the radiomic signature and integrated models significantly outperformed the clinical models in two cohorts. Decision curve analysis underscored the clinical utility of the established models.

CONCLUSIONS

This radiomic signature and integrated models have the potential to accurately predict the DR to HD-MTX-based chemotherapy in PCNSL patients, providing valuable therapeutic insights.

Prognostic Impacts of Age, Diagnosis Time, and Relapses in Primary CNS Lymphoma

Background: The incidence of lymphomatous involvement of the central nervous system (CNS) has been increasing in recent years. However, the rarity of the disease has resulted in a scarcity of available data regarding its clinical presentation, natural history, and prognosis. We aimed to investigate the neurological characteristics of uncommon lymphomatous involvements confined to the CNS and to identify key variables that could serve as predictive biomarkers for treatment outcomes. Methods: We identified patients presenting with neurological symptoms and diagnosed with CNS-restricted lymphomatous involvement between 2005 and 2023. Results: We identified 44 cases, 93% of which were diagnosed with primary central nervous system lymphoma (PCNSL) and 7% with intravascular lymphoma. The median time from symptom onset to diagnosis was 47 days (range: 6-573 days), with no statistically significant difference between patients older and younger than 60 years (p = 0.22). The median follow-up time was 1144 days (range: 27-3501 days). Cognitive deterioration was the most common presenting symptom, occurring in 19 out of 44 patients (43%). Brain MRI revealed that lobar lesions were the most frequent location of lesions, found in 24 out of 44 patients (55%). By the end of the study period, 30 patients (68%) had died, with a median survival of 666 days (range: 17-3291 days). Death was significantly more common in patients who experienced relapses (p = 0.04; 95% CI: 0.99-0.03), with these patients having a four times higher chance of death (HR = 4.1; 95% CI: 1.01-16.09). The time to diagnosis significantly correlated with survival (p = 0.02; 95% CI: 0.005-0.54), as did the Eastern Cooperative Oncology Group (ECOG) performance status at the last follow-up (p = 0.006; 95% CI: 0.0012-0.62). Patients aged over 60 years did not exhibit a higher likelihood of death (p = 0.19; HR = 2.3; 95% CI: 0.63-8.61); however, the threshold age at diagnosis for the maximally predicted mortality was 64 years (ROC = 0.73; p = 0.03). Conclusions: Patients had significant delays in diagnosis, affecting patient outcomes. Cognitive deterioration and lobar lesions were prominent clinical and radiological features. Mortality was notably higher in patients with relapses and those who had a longer time to diagnosis.

The Baseline Pan-Immune‑Inflammation Value (PIV) and PILE in Predicting Clinical Outcomes and Therapeutic Response for Primary Central Nervous System Lymphoma

Purpose

To investigate the prognostic significance of pan-immune-inflammation value (PIV) and PILE score (based on PIV, lactate dehydrogenase (LDH), and Eastern Cooperative Oncology Group Performance Status (ECOG PS)) in patients with primary central nervous system lymphoma (PCNSL).

Patients and Methods

A total of 109 patients were enrolled. PIV was calculated as follows: (neutrophil count × platelet count × monocyte count)/lymphocyte count. The PILE score was incorporated based on PIV, LDH levels, and ECOG PS. The Kaplan-Meier curves and Cox hazards regression models were applied for survival analyses. The relationship between PIV, PILE, and therapeutic response was examined.

Results

Baseline high PIV was significantly associated with worse overall survival (OS) in univariate (HR 3.990, 95% CI 1.778-8.954, p < 0.001) and multivariate (HR 3.047, 95% CI 1.175-7.897, p = 0.022) analyses. High PIV was also associated with worse progression-free survival (PFS) in univariate (HR 2.121, 95% CI 1.075-4.186, p = 0.030) but not significant in multivariate analyses. PIV outperformed other systemic inflammation parameters. The patients in the high PILE group (PILE score 2-3) had worse OS (p = 0.008) and PFS (p < 0.001) compared to the low PILE group (PILE score 0-1). PILE was independently associated with therapeutic response to initial treatment (OR 0.17, 95% CI 0.05-0.46; p < 0.001).

Conclusion

High PIV and PILE were correlated with worse clinical outcomes in PCNSL patients, indicating that PIV and PILE might be a powerful predictor of prognosis and a potential predictive indicator for therapeutic response in PCNSL.

Targets and treatments in primary CNS lymphoma

Primary central nervous system lymphoma (PCNSL) is a rare and highly aggressive lymphoma entirely localized in the central nervous system or vitreoretinal space. PCNSL generally initially responds to methotrexate-containing chemotherapy regimens, but progressive or relapsing disease is common, and the prognosis is poor for relapsed or refractory (R/R) patients. PCNSL is often characterized by activation of nuclear factor kappa B (NF-κB) due to mutations in the B-cell receptor (BCR) or toll-like receptor (TLR) pathways, as well as immune evasion. Targeted treatments that inhibit key PCNSL mechanisms and pathways are being evaluated; inhibition of Bruton's tyrosine kinase (BTK) downstream of BCR activation has demonstrated promising results in treating R/R disease. This review will summarize the evidence and potential for targeted therapeutic agents to improve treatment outcomes in PCNSL. This includes immunotherapeutic and immunomodulatory approaches and inhibitors of the key pathways driving PCNSL, such as aberrant BCR and TLR signaling.

Factors related to central nervous system involvement of primary vitreoretinal lymphoma

PURPOSE

This single center retrospective study aimed to investigate the factors associated with central nervous system (CNS) involvement of primary vitreoretinal lymphoma (PVRL).

METHODS

Clinical features of patients with PVRL (Group 1), those diagnosed with vitreoretinal lymphoma (VRL) after primary CNS lymphoma diagnosis (Group 2), and those concurrently diagnosed with CNS lymphoma and VRL (Group 3), were compared. The main outcomes included sex, age, types of treatment, survival, visual acuity, diagnostic methods, VRL recurrence, ocular manifestations, and interleukin levels in the aqueous humor.

RESULTS

Groups 1, 2, and 3 included 66 eyes in 38 patients, 29 eyes in 18 patients, and 14 eyes in 8 patients, respectively. Group 3 had shorter overall survival (OS) than Groups 1 and 2 (P = 0.042 and P = 0.009, respectively). The three groups did not differ in progression-free survival (P = 0.060). The 5-year survival rates of Groups 1, 2, and 3 were 56.5%, 44.0%, and 25.0%, respectively (P = 0.001). Patients with CNS involvement in Group 1 exhibited VRL recurrence (P < 0.001), high interleukin-10 (P = 0.024), and sub-retinal pigment epithelium (RPE) infiltration (P = 0.009). Patients experiencing VRL recurrence in Group 1 tended to show CNS involvement (P < 0.001).

CONCLUSION

Patients concurrently diagnosed with CNS lymphoma and VRL had a shorter OS and a lower 5-year survival rate. In patients with PVRL, the recurrence of VRL, high interleukin-10, and sub-RPE infiltration were associated with CNS involvement.

Interim FDG-PET improves treatment failure prediction in primary central nervous system lymphoma: An LOC network prospective multicentric study

BACKGROUND

The purpose of our study was to assess the predictive and prognostic role of 2-18F-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/MRI during high-dose methotrexate-based chemotherapy (HD-MBC) in de novo primary central nervous system lymphoma (PCNSL) patients aged 60 and above.

METHODS

This prospective multicentric ancillary study included 65 immunocompetent patients who received induction HD-MBC as part of the BLOCAGE01 phase III trial. FDG-PET/MRI were acquired at baseline, post 2 cycles (PET/MRI2), and posttreatment (PET/MRI3). FDG-PET response was dichotomized with "positive" indicating persistent tumor uptake higher than the contralateral mirroring brain region. Performances of FDG-PET and International PCNSL Collaborative Group criteria in predicting induction response, progression-free survival (PFS), and overall survival (OS) were compared.

RESULTS

Of the 48 PET2 scans performed, 9 were positive and aligned with a partial response (PR) on MRI2. Among these, 8 (89%) progressed by the end of the induction phase. In contrast, 35/39 (90%) of PET2-negative patients achieved complete response (CR). Among the 18 discordant responses at interim (PETCR/MRIPR), 83% ultimately achieved CR. Eighty-seven percent of the PET2-negative patients were disease free at 6 months versus 11% of the PET2-positive patients (P < .001). The MRI2 response did not significantly differentiate patients based on their PFS, regardless of whether they were in CR or PR. Both PET2 and MRI2 independently predicted OS in multivariate analysis, with PET2 showing a stronger association.

CONCLUSIONS

Our study highlights the potential of interim FDG-PET for early management of PCNSL patients. Response-driven treatment based on PET2 may guide future clinical trials.

TRIAL

LOCALYZE, NCT03582254, ancillary of phase III clinical trial BLOCAGE01, NCT02313389 (Registered July 10, 2018-retrospectively registered) https://clinicaltrials.gov/ct2/show/NCT03582254?term=LOCALYZE&draw=2&rank=1.

Patterns of Treatment Failure in Primary Central Nervous System Lymphoma

OBJECTIVES

Progression of PCNSL remains a challenge with salvage therapies, including the risk of substantial morbidity and mortality. We report patterns of first tumor progression to inform opportunities for improvement.

METHODS

This is an institutional retrospective review from 2002 to 2021 of 95 consecutive patients with pathologically confirmed PCNSL, of whom 29 experienced progressive disease. Kaplan-Meier method, log-rank test, and Cox proportional hazard models are used to characterize associations of patient, tumor, and treatment variables with LC, PFS, and patterns of first failure.

RESULTS

Most patients were below 65 years old (62%) with KPS >70 (64%) and negative CSF cytology (70%). In 70 patients with MRIs, the median tumor volume was 12.6 mL (range: 0.5 to 67.8 mL). After a median follow-up of 11 months, 1-year PFS was 48% and 1-year LC was 80%. Of the 29 patients with progression, 24% were distant only, 17% were distant and local, and 59% were local only. On MVA, LC was associated with age (HR: 1.08/y, P =0.02), KPS (HR: 0.10, P =0.02), completion of >6 cycles of HD-MTX (HR: 0.10, P <0.01), and use of intrathecal chemotherapy (HR: 0.03, P <0.01). On UVA, local only first failure trended to be increased with >14 mL tumors (OR: 5.06, P =0.08) with 1-year LC 83% (<14 mL) versus 64% (>14mL). There were no significant associations with LC and WBRT ( P =0.37), Rituximab ( P =0.12), or attempted gross total resection ( P =0.72).

CONCLUSIONS

Our findings reaffirm the importance of systemic and intrathecal therapies for local control in PCNSL. However, bulky tumors trend to fail locally, warranting further investigation about the role of local therapies or systemic therapy intensification.

Pre-treatment systemic inflammation response index and systemic immune inflammation in patients with primary central nerve system lymphoma as a useful prognostic indicator

PURPOSE

The systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII) are based on neutrophil, monocyte, platelet, and lymphocyte counts. The SIRI and SII are used to predict the survival of patients with malignant tumors. It is well known that the inflammatory immune response is closely related to cancer occurrence and progression. In the present study, we evaluated the potential prognostic significance of SIRI and SII in patients with primary central nervous system lymphoma (PCNSL).

METHODS

Fifty-eight consecutive patients were enrolled in this study between November 2006 and May 2022. Among the 58 patients, 47 patients with sufficient blood test data and follow-up were analyzed. The patients with steroid intake at the time point of the blood test and higher C-reactive protein were excluded.

RESULTS

The median follow-up and survival times were 31 and 36 months, respectively. The optimal cutoff SIRI value was based on the receiver operating characteristic curve (ROC) for overall survival (OS) and stratified patients into low (< 1.43 × 109/L, n = 22) and high (≥ 1.43 × 109/L, n = 25) SIRI groups. The optimal cutoff SII value based on the ROC for OS stratified patients into low (< 694.9, n = 28) and high (≥ 694.9, n = 19) SII groups. A low SIRI value was associated with longer OS (p = 0.006). Furthermore, a low SII value was associated with longer OS (p = 0.044). The prognostic factors associated with prolonged survival in univariate analysis using the Cox proportional hazard model were age < 65 years, low SIRI, and low SII. The multivariate analysis demonstrated that age < 65 years and low SIRI independently predicted longer OS.

CONCLUSION

Simple, less expensive, and routinely ordered preoperative blood count assessments such as SIRI and SII predict the OS of patients with PCNSL. This study demonstrated that PCNSL is associated with pre-treatment systemic immune-inflammation states.

Myeloablative vs nonmyeloablative consolidation for primary central nervous system lymphoma: results of Alliance 51101

ABSTRACT

Although it is evident that standard-dose whole-brain radiotherapy as consolidation is associated with significant neurotoxicity, the optimal consolidative strategy for primary central nervous system lymphoma (PCNSL) is not defined. We performed a randomized phase 2 clinical trial via the US Alliance cancer cooperative group to compare myeloablative consolidation supported by autologous stem cell transplantation with nonmyeloablative consolidation after induction therapy for PCNSL. To our knowledge, this is the first randomized trial to be initiated that eliminates whole-brain radiotherapy as a consolidative approach in newly diagnosed PCNSL. Patients aged 18 to 75 years were randomly assigned in a 1:1 manner to induction therapy (methotrexate, temozolomide, rituximab, and cytarabine) followed by consolidation with either thiotepa plus carmustine and autologous stem cell rescue vs induction followed by nonmyeloablative, infusional etoposide plus cytarabine. The primary end point was progression-free survival (PFS). A total of 113 patients were randomized, and 108 (54 in each arm) were evaluable. More patients in the nonmyeloablative arm experienced progressive disease or death during induction (28% vs 11%; P = .05). Thirty-six patients received autologous stem cell transplant, and 34 received nonmyeloablative consolidation. The estimated 2-year PFS was higher in the myeloablative vs nonmyeloablative arm (73% vs 51%; P = .02). However, a planned secondary analysis, landmarked at start of the consolidation, revealed that the estimated 2-year PFS in those who completed consolidation therapy was not significantly different between the arms (86% vs 71%; P = .21). Both consolidative strategies yielded encouraging efficacy and similar toxicity profiles. This trial was registered at www.clininicals.gov as #NCT01511562.

Diagnostics and treatment delay in primary central nervous system lymphoma: What the neurosurgeon should know

PURPOSE

The gold standard for diagnostics in primary central nervous system lymphoma (PCNSL) is histopathological diagnosis after stereotactic biopsy. Yet, PCNSL has a multidisciplinary diagnostic work up, which associated with diagnostic delay and could result in treatment delay. This article offers recommendations to neurosurgeons involved in clinical decision-making regarding (novel) diagnostics and care for patients with PCNSL with the aim to improve uniformity and timeliness of the diagnostic process for patients with PCNSL.

METHODS

We present a mini review to discuss the role of stereotactic biopsy in the context of novel developments in diagnostics for PCNSL, as well as the role for cytoreductive surgery.

RESULTS

Cerebrospinal fluid-based diagnostics are supplementary and cannot replace stereotactic biopsy-based diagnostics.

CONCLUSION

Histopathological diagnosis after stereotactic biopsy of the brain remains the gold standard for diagnosis. Additional diagnostics should not be a cause of diagnostic delay. There is currently no sufficient evidence supporting cytoreductive surgery in PCNSL, with recent studies showing contradictive data and suboptimal study designs.

Primary central nervous system lymphomas: EHA-ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up

This EHA-ESMO Clinical Practice Guideline provides key recommendations for managing primary DLBCL of the CNS.The guideline covers clinical, imaging and pathological diagnosis, staging and risk assessment, treatment and follow-up.Algorithms for first-line and salvage treatments are provided.The author group encompasses a multidisciplinary group of experts from different institutions and countries in Europe.Recommendations are based on available scientific data and the authors' collective expert opinion.

Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma

PURPOSE

To develop and validate a pathomics signature for predicting the outcomes of Primary Central Nervous System Lymphoma (PCNSL).

METHODS

In this study, 132 whole-slide images (WSIs) of 114 patients with PCNSL were enrolled. Quantitative features of hematoxylin and eosin (H&E) stained slides were extracted using CellProfiler. A pathomics signature was established and validated. Cox regression analysis, receiver operating characteristic (ROC) curves, Calibration, decision curve analysis (DCA), and net reclassification improvement (NRI) were performed to assess the significance and performance.

RESULTS

In total, 802 features were extracted using a fully automated pipeline. Six machine-learning classifiers demonstrated high accuracy in distinguishing malignant neoplasms. The pathomics signature remained a significant factor of overall survival (OS) and progression-free survival (PFS) in the training cohort (OS: HR 7.423, p < 0.001; PFS: HR 2.143, p = 0.022) and independent validation cohort (OS: HR 4.204, p = 0.017; PFS: HR 3.243, p = 0.005). A significantly lower response rate to initial treatment was found in high Path-score group (19/35, 54.29%) as compared to patients in the low Path-score group (16/70, 22.86%; p < 0.001). The DCA and NRI analyses confirmed that the nomogram showed incremental performance compared with existing models. The ROC curve demonstrated a relatively sensitive and specific profile for the nomogram (1-, 2-, and 3-year AUC = 0.862, 0.932, and 0.927, respectively).

CONCLUSION

As a novel, non-invasive, and convenient approach, the newly developed pathomics signature is a powerful predictor of OS and PFS in PCNSL and might be a potential predictive indicator for therapeutic response.

Relevance of different prognostic scores in primary CNS lymphoma in the era of intensified treatment regimens: A retrospective, multicenter analysis of 174 patients

OBJECTIVES

Treatment intensification (including consolidative high-dose chemotherapy with autologous stem cell transplantation [HDT-ASCT]) significantly improved outcome in primary central nervous system lymphoma (PCNSL) patients.

METHODS

We conducted a multicenter, retrospective analysis of newly diagnosed PCNSL patients, treated with intensified treatment regimens. The following scores were evaluated in terms of overall survival (OS) and progression-free survival (PFS): Memorial Sloan-Kettering Cancer Center (MSKCC), International Extranodal Lymphoma Study Group (IELSG), and three-factor (3F) prognostic score. Further, all scores were comparatively investigated for model quality and concordance.

RESULTS

Altogether, 174 PCNSL patients were included. One hundred and five patients (60.3%) underwent HDT-ASCT. Two-year OS and 2-year PFS for the entire population were 73.3% and 48.5%, respectively. The MSKCC (p = .003) and 3F score (p < .001), but not the IELSG score (p = .06), had the discriminatory power to identify different risk groups for OS. In regard to concordance, the 3F score (C-index [0.71]) outperformed both the MSKCC (C-index [0.64]) and IELSG (C-index [0.53]) score. Moreover, the superiority of the 3F score was shown for PFS, successfully stratifying patients in three risk groups, which also resulted in the highest C-index (0.66).

CONCLUSION

The comparative analysis of established PCNSL risk scores affirm the clinical utility of the 3F score stratifying the widest prognostic spectrum among PCNSL patients treated with intensified treatment approaches.

Prognostic value of POD18 combined with improved IELSG in primary central nervous system lymphoma

PURPOSE

The International Extranodal Lymphoma Study Group (IELSG) score is widely used in clinical practice to stratify the risk of primary central nervous system lymphoma (PCNSL) patients. Our study aims to confirm and improve the IELSG score in PCNSL patients based on Chinese populations.

MATERIALS AND METHODS

A total of 79 PCNSL patients were retrospectively analyzed. All patients treated with high-dose methotrexate (HD-MTX)-based therapy collected clinical data. The receiver-operating characteristic (ROC) curve was used to determine the optimal cut-off values for the factors in IELSG score. Progression of disease (POD) at the most landmark time point was determine by Epanechnikov kernel and the area under the ROC curve (AUROC). Kaplan-Meier and multivariable regression methods were used to analyze survival data. Nomogram was generated for calculating the weight of each selected factor.

RESULTS

The traditional IELSG score had no significant difference on OS and PFS except ECOG ≥ 2 and could not stratify the risk groups in PCNSL. The improved IELSG scoring system was established, which incorporated age ≥ 54 years, ECOG ≥ 2, deep brain structure, elevated CSF protein, and LDH/ULN > 0.75. On the other hand, POD18 was identified as a new powerful prognostic factor for PCNSL. In multivariate analysis, POD18 and the improved IELSG scoring system were independent prognostic factors for OS. Nomogram including the two significant variables showed the best performance (C-index = 0.828).

CONCLUSIONS

In this study, the IELSG score was improved and a new prognostic indicator POD18 was incorporated to construct a nomogram prognostic model, thereby further improving the predictive ability of the model.

Utility of contrast-enhanced MRI radiomics features combined with clinical indicators for predicting induction chemotherapy response in primary central nervous system lymphoma

PURPOSE

To assess the utility of combining contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics features with clinical variables in predicting the response to induction chemotherapy (IC) for primary central nervous system lymphoma (PCNSL).

METHODS

A total of 131 patients with PCNSL (101 in the training set and 30 in the testing set) who had undergone contrast-enhanced MRI scans were retrospectively analyzed. Pyradiomics was utilized to extract radiomics features, and the clinical variables of the patients were gathered. Radiomics prediction models were developed using different combinations of feature selection methods and machine learning models, and the best combination was ultimately chosen. We screened clinical variables associated with treatment outcomes and developed clinical prediction models. The predictive performance of radiomics model, clinical model, and combined model, which integrates the best radiomics model and clinical characteristics, was independently assessed and compared using Receiver Operating Characteristic (ROC) curves.

RESULTS

In total, we extracted 1598 features. The best radiomics model we selected as the best utilized T-test and Recursive Feature Elimination (RFE) for feature selection and logistic regression for model building. Serum Interleukin 2 Receptor (IL-2R) and Eastern Cooperative Oncology Group (ECOG) Score were utilized to develop a clinical predictive model for assessing the response to induction chemotherapy. The results of the testing set revealed that the combined prediction model (radiomics and IL-2R) achieved the highest area under the ROC curve at 0.868 (0.683, 0.967), followed by the radiomics model at 0.857 (0.681, 0.957), and the clinical prediction model (IL-2R and ECOG) at 0.618 (0.413, 0.797). The combined model was significantly more accurate than the clinical model, with an AUC of 0.868 compared to 0.618 (P < 0.05). While the radiomics model had slightly better predictive power than the clinical model, this difference was not statistically significant (AUC, 0.857 vs. 0.618, P > 0.05).

CONCLUSIONS

Our prediction model, which combines radiomics signatures from CE-MRI with serum IL-2R, can effectively stratify patients with PCNSL before high-dose methotrexate (HD-MTX) -based chemotherapy.

Detecting Double Expression Status in Primary Central Nervous System Lymphoma Using Multiparametric MRI Based Machine Learning

BACKGROUND

Double expression lymphoma (DEL) is a subtype of primary central nervous system lymphoma (PCNSL) that often has a poor prognosis. Currently, there are limited noninvasive ways to detect protein expression.

PURPOSE

To detect DEL in PCNSL using multiparametric MRI-based machine learning.

STUDY TYPE

Retrospective.

POPULATION

Forty PCNSL patients were enrolled in the study among whom 17 were DEL (9 males and 8 females, 61.29 ± 14.14 years) and 23 were non-DEL (14 males and 9 females, 55.57 ± 14.16 years) with 59 lesions (28 DEL and 31 non-DEL).

FIELD STRENGTH/SEQUENCE

ADC map derived from DWI (b = 0/1000 s/mm2 ), fast spin echo T2WI, T2FLAIR, and contrast-enhanced T1 weighted imaging (T1CE) were collected at 3.0 T.

ASSESSMENT

Two raters manually segmented lesions by ITK-SNAP on ADC, T2WI, T2FLAIR and T1CE. A total of 2234 radiomics features from the tumor segmentation area were extracted. The t-test was conducted to filter the features, and elastic net regression algorithm combined with recursive feature elimination was used to calculate the essential features. Finally, 12 groups with combinations of different sequences were fitted to 6 classifiers, and the optimal models were selected.

STATISTICAL TESTS

Continuous variables were assessed by the t-test, while categorical variables were assessed by the non-parametric test. Interclass correlation coefficient tested variables' consistency. Sensitivity, specificity, accuracy F1-score, and area under the curve (AUC) were used to evaluate model performance.

RESULTS

DEL status could be identified to varying degrees with 72 models based on radiomics, and model performance could be improved by combining different sequences and classifiers. Both SVMlinear and logistic regression (LR) combined with four sequence group had similar largest AUCmean (0.92 ± 0.09 vs. 0.92 ± 0.05), and SVMlinear was considered as the optimal model in this study since the F1-score of SVMlinear (0.88) was higher than that of LR (0.83).

DATA CONCLUSION

Multiparametric MRI-based machine learning is promising in DEL detection.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY STAGE: 2.

Predicting prognosis outcomes of primary central nervous system lymphoma with high-dose methotrexate-based chemotherapeutic treatment using lipidomics

Background

Primary central nervous system lymphoma (PCNSL) is a rare extranodal lymphomatous malignancy which is commonly treated with high-dose methotrexate (HD-MTX)-based chemotherapy. However, the prognosis outcome of HD-MTX-based treatment cannot be accurately predicted using the current prognostic scoring systems, such as the Memorial Sloan-Kettering Cancer Center (MSKCC) score.

Methods

We studied 2 cohorts of patients with PCNSL and applied lipidomic analysis to their cerebrospinal fluid (CSF) samples. After removing the batch effects and features engineering, we applied and compared several classic machine-learning models based on lipidomic data of CSF to predict the relapse of PCNSL in patients who were treated with HD-MTX-based chemotherapy.

Results

We managed to remove the batch effects and get the optimum features of each model. Finally, we found that Cox regression had the best prediction performance (AUC = 0.711) on prognosis outcomes.

Conclusions

We developed a Cox regression model based on lipidomic data, which could effectively predict PCNSL patient prognosis before the HD-MTX-based chemotherapy treatments.

Central Nervous System Lymphoma

Central nervous system lymphoma (CNSL) is a rare and aggressive malignancy that primarily affects the brain, spinal cord, and meninges. This article provides a comprehensive overview of the current understanding of CNSL encompassing its epidemiology, pathophysiology, clinical presentation, diagnosis, treatment modalities, and prognosis. Although the main focus is on primary CNS lymphoma (PCNSL), ocular lymphoma, primary leptomeningeal lymphoma, and secondary CNS lymphoma are also discussed. The pathobiology of CNSL involves the infiltration of malignant lymphocytes within the CNS parenchyma or leptomeninges. Various risk factors and immunological mechanisms contribute to its development, including immunodeficiency states, chronic inflammation, and genomic alterations. Accurate diagnosis is crucial for appropriate management, given the heterogeneous clinical presentation. The neuroimaging, systemic imaging, and other modalities for diagnosis and evaluation for extent of disease involvement will be discussed. Additionally, the importance of histopathological examination, cerebrospinal fluid (CSF) analysis, and molecular testing in confirming the diagnosis and guiding treatment decisions are highlighted. The treatment landscape for CNSL has evolved significantly. Therapeutic approaches encompass a multimodal strategy combining high-dose methotrexate-based chemotherapy, consolidation with whole-brain radiation therapy, and high-dose chemotherapy with stem cell rescue. Recent advancements in targeted therapies and immunomodulatory agents offer promising avenues for future treatment options. We review the clinical outcomes and prognostic factors influencing the survival of CNSL patients, including age, performance status, disease stage, and genetic abnormalities.

Different patterns of failure in two treatment regimens for primary central nervous system lymphoma, a retrospective analysis of 124 cases in Taiwan

To explore prognostic factors and outcomes of primary central nervous system lymphoma (PCNSL) of diffuse large B-cell lymphoma (DLBCL) in Taiwan, 124 PCNSL-DLBCL patients (from 1995 to 2021) were retrospectively analyzed. Mainly, two treatment modalities including sandwich chemoradiotherapy and modified MATRix regimen were employed in these patients. Overall survival (OS) was determined by log-rank test and time-dependent Cox analysis. Median OS of all patients was 27.1 months. 47 (37.9%) patients who underwent sandwich chemoradiotherapy had a complete remission (CR) rate of 87.2%, median OS of 53.9 months, and progression free survival (PFS) of 42.9 months. 11 (8.9%) patients who underwent modified MATRix regimen had CR rate of 72.7%, median OS of 18.9, and PFS of 11.2 months. There are no significant OS differences between treatment groups or addition of Rituximab. Patients treated with the modified MATRix regimen experienced a higher early mortality rate followed by a survival plateau. IELSG low-risk group had significantly improved OS and PFS than IELSG intermediate- or high-risk group. In multivariant analysis, age > 60 years old and bilateral cerebral lesions are associated with significantly inferior OS. Sandwich chemoradiotherapy demonstrated better early survival and reduced treatment-related toxicity for PCNSL patients compared to the modified MATRix regimen. However, the long-term follow-up revealed a higher rate of treatment failure events in the sandwich chemoradiotherapy group. IELSG and MSKCC scores served as reliable risk assessment models. Incorporating bilateral cerebral lesions as a risk factor further improved risk evaluation.

Central Nervous System Lymphoma

OBJECTIVE

This article reviews the clinical presentation, diagnostic workup, staging, and treatment of primary central nervous system (CNS) lymphoma and common manifestations of secondary CNS lymphoma.

LATEST DEVELOPMENTS

Lymphoma can arise in the CNS de novo (primary CNS lymphoma) or as the result of systemic disease (secondary CNS lymphoma). Symptoms may include focal neurologic deficits related to the disease site, cognitive decline, and symptoms of increased intracranial pressure. Standard treatment may differ based on lymphoma subtype and location. A majority of CNS lymphoma is diffuse large B-cell subtype and exhibits aggressive behavior. First-line treatment is generally methotrexate-based polychemotherapy. Response rates to treatment are high, approximately 80% to 90% for primary CNS lymphoma, but relapse is common. Consolidation approaches including myeloablative chemotherapy followed by autologous stem cell rescue, nonmyeloablative chemotherapy, radiation, and medical maintenance regimens reduce rates of relapse. The recent development of targeted agents such as Bruton tyrosine kinase inhibitors and immunomodulatory strategies have shown promise in the treatment of CNS lymphoma. Immunotherapy in the form of checkpoint inhibitors and chimeric antigen receptor T cells is being studied. More indolent forms of lymphoma may be treated with radiation or targeted therapy.

ESSENTIAL POINTS

CNS lymphoma is an uncommon but clinically meaningful manifestation of extranodal lymphoma. The diagnosis requires a high level of suspicion for rapid initiation of potentially curative treatment.

The ghost tumour revisited. Corticosteroids in primary central nervous system lymphoma: diagnostic, prognostic and therapeutic implications

OBJECTIVE

The cytolytic effect of corticosteroids on primary central nervous system lymphoma (PCNSL) has established the clinical dogma of avoiding steroid therapy prior to surgery for diagnostic purposes. However, since steroids are very useful during the initial management of intracranial lesions with vasogenic oedema, it was our aim to determine whether they cause a drawback in the diagnosis and prognosis of PCNSL.

METHODS

A retrospective cohort study of patients diagnosed with PCNSL between 2000 and 2020 in our tertiary neurosurgical centre. Data on steroid administration, surgery type and complications, haematopathological findings and prognostic factors were compiled. A second cohort was used as a control group to compare the ratio of non-diagnostic biopsies; this series comprised patients who underwent stereotactic brain biopsy for any reason between 2019 and 2020.

RESULTS

Forty patients with PCNSL were included in the study, of which 28 (70%) had received steroids before surgery. The use of steroids was more prevalent in patients with poorer performance status at diagnosis. No relevant differences were found in the diagnostic accuracy regardless of steroid exposure (93% under steroids vs 100% without steroids) or type of surgery performed. Furthermore, steroid withdrawal did not seem to augment the diagnostic ratio. The notable diagnostic delay was not influenced by the use of steroids.

CONCLUSIONS

Novel imaging and surgical techniques might obviate the need to withhold corticosteroids from patients suffering from PCNSL prior to biopsy. Moreover, when steroids have been given, tapering them and delaying the surgery might not be justified. This could hold relevant therapeutic implications in the early clinical stages.

Functional Outcome and Overall Survival in Patients with Primary or Secondary CNS Lymphoma after Surgical Resection vs. Biopsy

BACKGROUND

Central nervous system lymphoma (CNSL) is rare form of brain tumour. It manifests either as primary CNS lymphoma (pCNSL) originating within the central nervous system or as secondary CNS lymphoma (sCNSL), arising as cerebral metastases of systemic lymphoma. For a significant period, surgical resection was considered obsolete due to the favourable response to chemotherapy and the associated risk of postoperative deficits. The objective of the present study was to demonstrate the benefits of resection in CNSL patients, including extended survival and improved postoperative function.

METHODS

A retrospective study involving patients diagnosed with either PCNSL or SCNSL that were surgically approached at our neurosurgical department between 2010 and 2022 was conducted. Patients were categorised into three subgroups based on their neurosurgical approach: (1) stereotactical biopsy, (2) open biopsy, (3) resection. We then performed statistical analyses to assess overall survival (OS) and progression-free survival (PFS). Additionally, we examined various secondary factors such as functional outcome via Karnofsky Performance Index (KPS) and prognosis scoring.

RESULTS

157 patients diagnosed with PCNSL or SCNSL were enclosed in the study. Of these, 101 underwent stereotactic biopsy, 21 had open biopsy, and 35 underwent resection. Mean age of the cohort was 64.94 years, with majority of patients being female (54.1%). The resection group showed longest OS at 44 months (open biopsy = 13 months, stereotactic biopsy = 9 months). Calculated median follow-up was 34.5 months. In the Cox regression model, postoperative KPS 70% (p < 0.001) and resection vs. stereotactic biopsy (p = 0.040) were identified as protective factors, whereas older age at diagnosis was identified as a risk factor (p < 0.001). In the one-way analysis of variance, differences in postoperative KPS were found among all groups (p = 0.021), while there was no difference in preoperative KPS among the groups.

CONCLUSIONS

Our data show a favourable outcome when resection is compared to either stereotactic or open biopsy. Additionally, the marginally improved postoperative functional status observed in patients who underwent resection, as opposed to in those who underwent biopsy, provides further evidence in favour of the advantages of surgical resection for enhancing neurological deficits.