Abstract
Intravascular large B-cell lymphoma (IVLBCL) is a rare and highly aggressive lymphoma, but current knowledge is still inadequate. We retrospectively analyzed 50 IVLBCL patients from five Chinese tertiary hospitals in China between 2017 and 2024. Hemophagocytic variant (HV) patients showed worse performance status, universal B symptoms, more bone marrow infiltration, higher mortality, pancytopenia, elevated inflammatory markers (CRP, LDH, ferritin), hypoglobulinemia and hypogammaglobulinemia. Among 46 treated patients, CR/CRu rate was 71% (27/38). The 2-year OS was 65.5%, significantly worse in HV vs. classical variant (CV) (43.3% vs. 76.4%, P = 0.007). Multivariate analysis identified CNS involvement (HR = 10.86, P < 0.001), HV subtype (HR = 1.91, P = 0.018), and nodal organs involvement (HR = 5.26, P = 0.052) as poor prognostic factors. IVLBCL exhibits marked heterogeneity, with HV and CNS involvement conferring dismal outcomes. This study provides key diagnostic/therapeutic insights for IVLBCL in China, warranting prospective trials to validate prognostic models and optimize therapies.
Keywords: intravascular large B-cell lymphoma, clinicopathological, treatment, poor prognostic, China
Introduction
Intravascular large B-cell lymphoma (IVLBCL) is a rare subtype of diffuse large B-cell lymphoma with unique pathological features. It often presents with diagnostic errors or delays due to clinical heterogeneity (1). IVLBCL has three variants including cutaneous, classical variant (CV) and hemophagocytic variant (HV) (2–4). Retrospective studies showed that over 70% of patients are diagnosed at Ann Arbor stage IV and median survival approximately one year, indicating an extremely poor prognosis (1, 2, 5, 6). Therefore, enhancing the understanding of IVLBCL, establishing early diagnostic strategies, and optimizing treatment approaches are crucial for improving patient outcomes. This multicenter, retrospective study systematically analyzed IVLBCL cases diagnosed in several Chinese hematology centers to summarize the clinicopathological characteristics, treatment responses, and prognostic factors of IVLBCL, providing valuable insights for clinicians and contributing Chinese data to support the precision management of this rare disease.
Methods
Patients with histologically confirmed IVLBCL according to WHO-HAEM5 criteria were retrospectively identified from five Chinese tertiary hospitals between 2017 and 2024. Collected information included: demographic characteristics, clinical symptoms, laboratory parameters, imaging techniques, results of bone marrow aspiration/biopsy, staging information, treatment regimens, and clinical outcomes. The Ann Arbor staging system was used in disease staging. The survival outcomes of patients were followed up to October 31, 2024. Progression-free survival (PFS) was defined as the time from diagnosis to disease progression, death, or the last follow-up. OS was defined as the time from diagnosis to death or the last follow-up.
This study was approved by the Ethical Review Committee of the First Affiliated Hospital of Zhejiang University School of Medicine (Approval No. ZDYY-LS-2024Y1351-K) and conducted in accordance with the principles of the Declaration of Helsinki. Patient identity information was kept anonymous prior to data analysis.
Statistical analysis
Categorical variables are presented as frequencies (%), continuous variables as medians (ranges). Group comparisons used χ² or Fisher’s exact test in categorical variables and Mann-Whitney U-test in continuous variables. Continuous variables were dichotomized via clinical cutoff values or ROC curve analysis. Survival analysis employed Kaplan-Meier method with log-rank test and Cox regression analyses (univariate/multivariate). P < 0.05 was considered statistically significant; P < 0.1 in univariate analysis entered multivariate model. All analyses were performed using SPSS v.25 software.
Results
Clinical and laboratory characteristics
Clinical characteristics
This study analyzed 50 IVLBCL patients with median age 61 years (range: 32-82; 54% male), including 58% patients over 60 years old, and with median diagnosis delay of 75.5 days (range: 21-1132). Initial manifestations were diverse: B symptoms (36/50, 72%; predominantly fever), performance status decline (18%), neurological deficits (14%;including limb dyskinesia/paresthesia, dysautonomia, psychiatric abnormalities, hearing loss, and syncope), cutaneous rashes/nodules (30%), mass-effect symptoms (24%; including respiratory compromise and abdominal distension), and incidental detection (10%).
The cohort comprised two subtypes: classical variant (CV, 33/50, 66%) and hemophagocytic variant (HV, 17/50, 34%). HV group showed worse performance status (P = 0.009), universal B symptoms(P = 0.002), Bone marrow infiltration(P<0.001) and higher mortality (P = 0.011). No significant differences existed in sex, age distribution, staging, IPI, CNS involvement, Nodal organs or Nodal involvement between variants (Table 1).
Table 1.
The Clinical and laboratory characteristics in two variants.
| Characteristic | Total (n=50) | CV (n=33) | HV (n=17) | P-value |
|---|---|---|---|---|
| Demographics & staging | ||||
| Sex(Male) | 27 (54.0%) | 16 (48.5%) | 11 (64.7%) | 0.276 |
| Age(>60 years) | 29 (58.0%) | 20 (60.6%) | 9 (52.9%) | 0.603 |
| ECOG PS (2–4 scores) | 39 (78.0%) | 22 (66.7%) | 17 (100.0%) | 0.009 |
| B symptoms | 36 (72.0) | 19 (57.6%) | 17 (100.0%) | 0.002 |
| Ann Arbor Staging(III-IV) | 45 (90.0%) | 28 (84.8%) | 17 (100.0%) | 0.152 |
| IPI(3–5 scores) | 43 (86.0%) | 26 (78.8%) | 17 (100.0%) | 0.080 |
| CNS involvement | 7 (14.0%) | 6 (18.2%) | 1 (5.9%) | 0.398 |
| Bone marrow infiltration | 33(66.0%) | 16(48.5%) | 17(100.0%) | <0.001 |
| Nodal Organs involvement | 33(66.0%) | 19(57.6%) | 14(82.4%) | 0.321 |
| Nodal involvement | 12(24.0%) | 9(27.3%) | 3(17.6%) | 0.510 |
| Laboratory parameters (median, range) | ||||
| WBC (x109/L) | 5.14 (1.60-14.21) | 5.90 (2.54-14.21) | 4.06 (1.60-9.80) | 0.027 |
| Neutrophils (x109/L) | 3.43 (0.40-11.72) | 3.62 (1.59-11.72) | 2.47 (0.40-5.09) | 0.014 |
| Lymphocytes (x109/L) | 0.90 (0.18-2.39) | 0.91 (0.36-2.39) | 0.80 (0.18-2.30) | 0.068 |
| Monocytes (x109/L) | 0.53 (0.03-2.87) | 0.54 (0.03-1.66) | 0.49 (0.15-2.87) | 0.321 |
| Hemoglobin (g/L) | 98.5 (53.0-153.0) | 105.0 (53.0-153.0) | 90.0 (62.0-149.0) | 0.006 |
| Platelets (x109/L) | 120.5 (30.0-392.0) | 180.0 (43.0-392.0) | 71.0 (30-146.0) | <0.001 |
| Albumin (g/L) | 30.4 (19.2-53.7) | 33.6 (22.6-53.7) | 26.6 (19.2-36.5) | 0.002 |
| Globulin (g/L) | 26.7 (16.0-48.8) | 29.9 (16.0-39.6) | 23.9 (18.9-48.8) | 0.022 |
| CRP (mg/L) (n=49) | 58.7 (0-174.5) | 25.5 (0-156.1) | 82.5 (37.7-174.5) | 0.001 |
| ESR (mm/h) (n=32) | 41.0 (2.0-140.0) | 33.0 (2.0-140.0) | 44.0 (6–118) | 0.347 |
| LDH (U/L) | 666 (120–4685) | 457 (120–4685) | 875 (304-3389) | 0.014 |
| β2-MG (mg/L) (n=36) | 3.91 (1.27-9.70) | 4.0(1.27-9.70) | 3.0 (3.80-5.32) | 0.987 |
| D-dimer (μg/L) (n=45) | 970 (176-5980) | 847 (176-5980) | 1690 (294-5230) | 0.056 |
| Ferritin (μg/L) (n=43) | 943.7 (101.2-5332) | 743.3 (101.2-743.3) | 2321.8 (636.4-53321) | <0.001 |
| Immunoglobulins & cytokines | ||||
| IgG (mg/dL) (n=34) | 1185 (646-2523) | 1290 (702-2523) | 1054 (646-1487) | 0.009 |
| IgA (mg/dL) (n=34) | 240.0 (38.0-496.0) | 230 (38-496) | 277 (114-430) | 0.484 |
| IgM (mg/dL) (n=34) | 64 (19-271) | 65 (23-271) | 54 (19-202) | 0.348 |
| IL-17A (pg/mL) (n=21) | 1.50 (0.10-78.90) | 0.99 (0.10-57.14) | 3.07 (0.10-78.90) | 0.189 |
| IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ(n=25) | No significant differences between groups. | All P > 0.05 | ||
Data are shown as the median (range) and n (%); Nodal Organs are defined as the lymph nodes and the spleen.
CV, Classic variant; HV, Hemophagocytic variant; ECOG PS, Eastern Cooperative Oncology Group performance status; IPI, International Prognostic Index; CNS, central nervous system; WBC, white blood cell; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase; β2-MG,β2-microglobulin; IL, interleukin; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ; Ig, immunoglobulin. Emphasis: Key variables with significant differences (P < 0.05) between CV and HV groups are highlighted in bold. The HV column for the most critical differentiators (ECOG PS, B symptoms, Bone marrow infiltration, Platelets, CRP, Ferritin, IgG) is further emphasized with bold italics to draw visual attention to the pronounced abnormalities in the HV subtype.
Laboratory characteristics
Laboratory parameters revealed lower WBC (P = 0.027), neutrophils (P = 0.014), hemoglobin (P = 0.006), platelets (P < 0.001), and albumin (P = 0.002) in the HV group, alongside elevated CRP (P = 0.001) and LDH (P = 0.014). All HV cases had bone marrow infiltration and thrombocytopenia, compared to 48.5% (16/33) and 42.4% (14/33) in the CV group, respectively. These results highlight distinct clinical and laboratory profiles, underscoring the aggressive nature of HV (Table 1).
The study analyzed immunoinflammatory markers including D-dimer, ferritin, interleukins (IL-2, IL-4, IL-6, IL-10, IL-17A), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and immunoglobulins (IgA, IgG, IgM). The HV group showed significantly higher ferritin (2321.8 vs 743.3 μg/L, P < 0.001) compared to CV group. CV patients had higher IgG levels (1290 vs 1054 mg/dL, P = 0.009). No other cytokines differed significantly between groups. These findings highlight distinct inflammatory profiles in IVLBCL subtypes (Table 1). EBV positivity was higher in HV (26.7%) than CV (11.1%), although this difference was not statistically significant (P = 0.204).
Pathological characteristics
Biopsy sites included bone marrow (30%), skin (20%), lung (12%), CNS (10%), adrenal gland (8%), liver (6%), kidney (4%), uterus/uterus and vagina (4%), with single positive cases in muscle, prostate, and ileocecal region. Non-GCB subtype predominated (78.3%) with no difference between clinical variants. Tumor cells universally expressed CD20 (Figures 1A, B), with frequent positivity for CD19 (95.7%), CD79a (100%), MUM1 (83.8%), and BCL2 (92.1%), while CD10 (17.5%) and CD30 (10%) were less common. HV cases showed trends toward higher CD5 (53.8% vs 34.6%) and c-MYC (72.7% vs 60%) expression compared to CV, though statistically insignificant. Notably, CD5+ tumors strongly correlated with c-MYC expression (85.7% vs 35.7% in CD5−, P = 0.007) and trended toward BCL2 co-expression (100% vs 83.3%, P = 0.055). c-MYC/BCL2 dual expression occurred in 64.5% of cases. EBER and cyclinD1 were uniformly negative. These findings highlight IVLBCL’s aggressive B-cell phenotype, frequent dual-hit-like profiles, and potential CD5/c-MYC interplay, suggesting biological distinctions between variants despite overlapping morphology.
Figure 1.
(A) H&E staining demonstrating vascular sinuses filled with lymphoma cells; (B) Immunohistochemical staining for CD20 is positive.
Treatment an efficacy
Four untreated HV patients died early from disease progression (n=2), sudden death (n=1), and respiratory failure (n=1). Among 46 treated patients, 91.5% received rituximab-containing regimens and 93.5% received CHOP-like regimens. Additional agents included BTK inhibitors and/or lenalidomide (n=12), PD-1 inhibitors (n=3), and high-dose methotrexate (HD-MTX) (n=11, including 4/7 CNS cases). Of 38 evaluable patients, 71% achieved complete response/unconfirmed complete response (CR/CRu),18.4% partial response (PR), and 7.9% stable disease (SD). One CV patient achieved durable response after R-CHOP plus lenalidomide/HD-MTX followed by ASCT. Early mortality was exclusive to HV cases, highlighting their aggressive course. The overall response rate to CHOP-based therapy was 89.4%, with ASCT demonstrating potential for long-term response in selected cases.
A subgroup of 12 patients received therapy incorporating BTK inhibitors (BTKi) and/or lenalidomide (Len) during their course of treatment. The specific distribution was: BTKi alone (n=5), Len alone (n=2), and the combination of BTKi and Len (n=5). These novel agents were utilized across various settings, including salvage therapy for relapsed/refractory (R/R) disease and as part of frontline treatment for high-risk patients. In this subgroup, the overall response rate (ORR) was 83.3% (10/12), with a complete response (CR/CRu) rate of 66.7% (8/12). Treatment was generally well-tolerated.
Furthermore, 12 patients received maintenance therapy with these agents (Len, n=5; BTKi, n=5; BTKi/Len combination, n=1; rituximab, n=1) for a duration of 4 to 24 months following first-line treatment. Among 17 HV patients, 4 died early without treatment, and 13 received CHOP-like regimens (12 with rituximab, 2 with HD-MTX, 4 with BTKi).
CNS prophylaxis was administered to patients perceived to be at high risk for CNS relapse. Among the 46 treated patients, 11 (23.9%) received systemic high-dose methotrexate (HD-MTX) as CNS-directed prophylaxis. Of the 7 patients with established CNS involvement at diagnosis, 4 received HD-MTX as part of their therapeutic regimen. Intrathecal chemotherapy was not routinely administered for prophylaxis in this cohort.
Survival analysis and prognostic factors
Survival outcomes
With a median follow-up of 14.3 months (range: 0.13-59.60), 15 deaths occurred (13 lymphoma-related, 1 sudden cardiac death, and 1 severe infection). The 2-year OS was 65.5% (Figure 2), with significant differences between subtypes: CV patients showed superior outcomes (2-year OS 76.4%) versus HV (43.3%, P = 0.007) (Figure 3A, Table 2). CNS involvement was particularly detrimental (median OS 4.5 months vs NR, p=0.006), as was nodal organs involvement (median OS 36.3 months vs NR, P = 0.035) (Figures 3B, C, Table 2). Peripheral blood cytopenias (WBC ≤3.7×109/L, neutrophils ≤2.6×109/L, lymphocytes ≤1.11×109/L) and low globulin (≤29.85 g/L) predicted inferior survival (all P < 0.05) (Figure 4A, Table 2). Maintenance therapy showed a trend toward improved outcomes (2-year OS 91.7% vs 54.7%, P = 0.076).Elevated D-dimer (≥1945 μg/L) correlated with worse survival (median OS 16.4 months vs NR, P = 0.002). Higher IgG (>1331 mg/dL) showed a protective trend (median OS NR vs 36.3 months, P = 0.058) (Figures 4B, C, Table 2).
Figure 2.
Overall survival of the entire IVLBCL cohort (n=50).
Figure 3.
(A–C) Survival by (A) clinical subtype, (B) CNS involvement, and (C) nodal organs involvement.
Table 2.
Univariate analysis of survival in IVLBCL patients (n=50).
| Variables | Median OS (range) | 2-year OS (%) | P |
|---|---|---|---|
| Clinical subtype | 0.007 | ||
| Classic variant | NR | 76.4 | |
| Hemophagocytic variant | 16.6 (0.5~32.7) | 43.3 | |
| CNS involvement | 0.006 | ||
| No | NR | 74.9 | |
| Yes | 4.5 (0-16.7) | 16.7 | |
| Nodal Organs involvement | 0.035 | ||
| No | NR | 81.5 | |
| Yes | 36.3 (3.3-69.4) | 57.2 | |
| WBC (x109/L) | 0.045 | ||
| ≤3.7 | 16.4 (0.3-32.6) | 44.1 | |
| >3.7 | NR | 75.0 | |
| Neutrophils (x109/L) | 0.008 | ||
| ≤2.6 | 14.2 (5.2-23.2) | 40.0 | |
| >2.6 | NR | 78.4 | |
| Lymphocytes (x109/L) | 0.028 | ||
| ≤1.11 | 36.3 (12.2-60.5) | 57.8 | |
| >1.11 | NR | 88.9 | |
| Monocytes (x109/L) | 0.067 | ||
| ≤0.38 | 16.6 (7.5-25.7) | 40.9 | |
| >0.38 | NR | 77.4 | |
| Globulin (g/L) | 0.004 | ||
| ≤29.85 | 16.6(0-38.6) | 49.2 | |
| >29.85 | NR | 94.7 | |
| D-dimer (μg/L) | 0.002 | ||
| <1945 | NR | 82.1 | |
| ≥1945 | 16.43 (0.77-32.09) | 27.3 | |
| IgG (mg/dL) | |||
| ≤1331 | 36.33 (8.02-64.64) | 53.8 | 0.058 |
| >1331 | NR | 85.7 |
OS, overall survival; NR, not reached.
Figure 4.
(A–C) Survival by (A) globulin level, (B) D-dimer level, and (C) IgG level. Left to right follow by Figures 3A–C in first row. Left to right follow by (A–C) in the second row.
Multivariate analysis
CNS involvement (HR 10.86, P < 0.001), clinical variant (HR 1.91, P = 0.018), and nodal organs involvement (HR 5.26, P = 0.052) emerged as independent prognostic factors (Table 3).
Table 3.
Cox regression analysis of risk factors affecting OS in IVBCL patients (n=50).
| Univariable cox | Multivariable cox | |||
|---|---|---|---|---|
| HR (95%CI) | P | HR (95%CI) | P | |
| Nodal organs involvement | 4.34 (0.98-19.19) | 0.053 | 5.26 (0.98-28.12) | 0.052 |
| Clinical subtype | 1.92 (1.16-3.17) | 0.011 | 1.91 (1.12-3.27) | 0.018 |
| CNS involvement | 4.18 (1.39-12.62) | 0.011 | 10.86 (2.92-40.39) | <0.001 |
| Neutrophils (x109/L) | 0.28 (0.10-0.77) | 0.013 | ||
| Lymphocytes (x109/L) | 0.14 (0.02-1.08) | 0.059 | ||
| Monocytes (x109/L) | 0.40 (0.14-1.11) | 0.077 | ||
| Globulin (g/L) | 0.09 (0.01-0.69) | 0.020 | ||
Key negative findings
No survival impact was observed for sex, age, ECOG PS, B symptoms, Ann Arbor stage, IPI score, EBV DNA status, or most laboratory parameters (hemoglobin, platelets, albumin, CRP, LDH).
This analysis identifies CNS involvement as the strongest negative predictor, followed by HV subtype and nodal organs involvement. The findings underscore the prognostic value of clinical subtype, disease distribution, and inflammatory markers in IVLBCL.
Discussion
The HV Patient, prevalent in Asians including our cohort, features hemophagocytic syndrome, inflammatory responses, and frequent marrow infiltration (2, 4-7). In our cohort, all HV patients showed poor performance status (ECOG PS ≥2), advanced-stage disease (Ann Arbor III-IV), and high-risk IPI scores (≥3), with frequent marrow involvement. They exhibited characteristic cytopenias (neutropenia, lymphocytopenia, anemia, and thrombocytopenia) alongside elevated inflammatory markers (CRP, LDH, ferritin, D-dimer) and hypoalbuminemia, consistent with established HV features (2, 7). HV patients demonstrated significant hypoglobulinemia, particularly IgG reduction. Potential mechanisms include hepatic dysfunction, immune hyperactivation, or multi-organ failure. Unlike typical hemophagocytic syndrome, our HV cases showed no EBV association or survival impact.
Histopathology remains the gold standard for diagnosis of IVLBCL, though its variable presentation challenges biopsy site selection (1). Early multi-site biopsies, guided by PET/CT (though not exclusionary if negative), are essential for diagnosis (8, 9). For occult cases, marrow biopsies and random skin biopsy (RSB) are key when more than 5 clinical features present (unexplained fever/altered mental status/hypoxemia/cytopenia/LDH>800/IL-10 >95.65 pg/mL etc.) (10–14). Our data confirm marrow biopsy yield (30%) and IL-10’s diagnostic value (84%).
IVLBCL typically shows intravascular lymphoma cells (resembling DLBCL morphology) with occasional extravascular spread, expressing pan-B-cell markers, which key features include CD5+ (38%), MUM1+ (75-80%), and high Ki-67 index (4, 15). Our cohort confirmed these patterns, with HV showing non-significant trends for higher CD5+ and lower CD10+ rates than CV. CD5+ correlated with cMYC expression and showed poorer 2-year OS than CD5-, warranting further validation.
IVLBCL lacks standardized treatment, typically following DLBCL regimens. Rituximab-based therapy (e.g., R-CHOP) improves survival, though CNS relapse remains common (25% at 1–3 years) (6, 16–19). While PRIMEUR-IVL study reduced CNS relapse to 3% and validated in Chinese cohorts (14, 20). Our R-CHOP-based approach achieved 65.5% 2-year OS (vs historical 11.5-33%) (5–7). Molecular profiling reveals frequent NF-κB pathway mutations (MYD88/CD79B), supporting BTKi combinations (e.g., ZR-CHOP) currently under investigation (21–24). While ASCT consolidation shows promise (2-year PFS/OS 83%/89%), maintenance therapy (lenalidomide/BTKi) requires further study (25–27). In this study, only a CV patient achieved long-term progression-free survival after ASCT and 12 patients received maintenance therapy with lenalidomide and/or BTKi, which may have contributed to improved OS outcomes.
IVLBCL has a poor prognosis. Poor prognostic factors include age >60, ECOG PS ≥2, stage IV disease, thrombocytopenia (<150×109/L), elevated LDH (≥700 U/L), CNS involvement, and hemophagocytic syndrome (5–7). In our cohort, clinical subtype significantly influenced outcomes: CV patients had superior OS, whereas CNS involvement with median survival of 4.5 months and nodal disease predicted worse survival. Additionally, Cytopenias often linked to hemophagocytic syndrome, including leukopenia, neutropenia, and lymphocytopenia were all associated with poorer OS. Hypoglobulinemia, particularly in HV patients, correlated with worse OS, likely due to infection-related mortality (28). Multivariate Cox regression analysis confirmed clinical subtype, CNS involvement, and nodal disease as independent adverse prognostic factors.
We hypothesize that nodal involvement in IVLBCL may be a marker of higher systemic tumor burden or a more disseminated disease state, even beyond the characteristic intravascular confinement. It could reflect biological aggressiveness, potentially associated with the phenotypic features observed (e.g., CD5 and c-MYC expression). Furthermore, nodal disease might facilitate access to richer lymphatic and vascular networks, promoting further dissemination. Its identification as an independent poor prognostic factor in our multivariate analysis underscores that IVLBCL with nodal spread represents a distinct, high-risk clinicopathological entity that warrants more intensive therapeutic strategies.
While the HV variant’s aggressive biology (CD5+, c-MYC+) might predispose to CNS spread (29), the observed lower incidence in our HV group could be influenced by several factors. The small sample size of the HV subgroup (n=17) limits the power to detect a significant difference. Furthermore, there might be a competing risk phenomenon; HV patients often present with rapidly progressive systemic illness, severe cytopenias, and multi-organ failure, leading to early death before CNS involvement becomes clinically apparent or can be thoroughly investigated. In contrast, CV patients might survive long enough for CNS disease to manifest or be detected.
Although limited by the small sample size and heterogeneous treatment lines, the promising efficacy observed in this cohort suggests that regimens containing BTKi and/or Len represent a viable and potent therapeutic strategy for IVLBCL. These findings strongly support further investigation in prospective clinical trials.
This multicenter Chinese study identified key clinical/pathological differences between HV/CV subtypes and prognostic impacts of nodal involvement. Diagnostic strategies emphasized repeated biopsies and cytokine profiling. Limitations included retrospective design, treatment heterogeneity, and potential inter-center bias. Future prospective studies should refine diagnostic/therapeutic approaches, establish prognostic models, and explore novel immunotherapies for IVLBCL.
Funding Statement
The author(s) declared that financial support was not received for this work and/or its publication.
Footnotes
Edited by: Carmelo Caldarella, Fondazione Policlinico Universitario A. Gemelli IRCCS, Italy
Reviewed by: Ali Dogan, Private Buyuk Anadolu Hospital, Türkiye
Hideki Uryu, Jikei University School of Medicine, Japan
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The Ethical Review Committee of The First Affiliated Hospital of Zhejiang University School of Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
YG: Data curation, Formal Analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. YZho: Formal Analysis, Software, Writing – original draft. LZ: Investigation, Resources, Writing – review & editing. FZ: Data curation, Project administration, Resources, Writing – review & editing. XRL: Conceptualization, Formal Analysis, Writing – review & editing. XAL: Project administration, Supervision, Writing – review & editing. XW: Software, Validation, Visualization, Writing – review & editing. YH: Data curation, Resources, Software, Writing – review & editing. SW: Project administration, Resources, Writing – review & editing. GL: Data curation, Funding acquisition, Investigation, Methodology, Writing – review & editing. JHZ: Investigation, Methodology, Resources, Software, Writing – review & editing. YZha: Data curation, Resources, Writing – review & editing. WW: Conceptualization, Supervision, Writing – review & editing. XY: Supervision, Validation, Writing – review & editing. HY: Conceptualization, Data curation, Formal Analysis, Writing – review & editing. JZ: Investigation, Methodology, Project administration, Writing – review & editing. KY: Investigation, Methodology, Writing – review & editing. YL: Project administration, Supervision, Writing – review & editing. ZC: Formal Analysis, Supervision, Writing – review & editing. JH: Data curation, Formal Analysis, Investigation, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.