A novel model for relation prediction in knowledge graphs exploiting semantic and structural feature integration.

Relation prediction is a critical task in knowledge graph completion and associated downstream tasks that rely on knowledge representation. Previous studies indicate that both structural features and semantic information are meaningful for predicting missing relations in knowledge graphs. This has led to the development of two types of methods: structure-based methods and semantics-based methods. Since these two approaches represent two distinct learning paradigms, it is difficult to fully utilize both sets of features within a single learning model, especially deep features. As a result, existing studies usually focus on only one type of feature. This leads to an insufficient representation of knowledge in current methods and makes them prone to overlooking certain patterns when predicting missing relations. In this study, we introduce a novel model, RP-ISS, which combines deep semantic and structural features for relation prediction. The RP-ISS model utilizes a two-part architecture, with the first component being a RoBERTa module that is responsible for extracting semantic features from entity nodes. The second part of the system employs an edge-based relational message-passing network designed to capture and interpret structural information within the data. To alleviate the computational burden of the message-passing network on the RoBERTa module during the sampling process, RP-ISS introduces a node embedding memory bank, which updates asynchronously to circumvent excessive computation. The model was assessed on three publicly accessible datasets (WN18RR, WN18, and FB15k-237), and the results revealed that RP-ISS surpasses all baseline methods across all evaluation metrics. Moreover, RP-ISS showcases robust performance in graph inductive learning.

Deciphering the Prognostic Significance of MYD88 and CD79B Mutations in Diffuse Large B-Cell Lymphoma: Insights into Treatment Outcomes.

BACKGROUND: The clinical and genetic characteristics, as well as treatment outcomes, of diffuse large B-cell lymphoma (DLBCL) patients with different MYD88 and CD79B mutation status merit further investigation. OBJECTIVE: This study aims to investigate the distinctions in clinical manifestations, genetic characteristics, and treatment outcomes among MYD88-CD79Bco-mut, MYD88/CD79Bsingle-mut, and MYD88-CD79Bco-wt DLBCL patients. PATIENTS AND METHODS: Clinical and genetic characteristics, along with treatment outcomes among 2696 DLBCL patients bearing MYD88-CD79Bco-mut, MYD88/CD79Bsingle-mut, and MYD88-CD79Bco-wt treated with R-CHOP/R-CHOP-like regimens from the Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College and six external cohorts were analyzed. Potential molecular mechanisms were investigated through Gene Set Enrichment Analysis and xCell methodology. RESULTS: In the MCD subtype, patients with MYD88-CD79Bco-mut showed comparable progression-free survival (PFS) and overall survival (OS) compared to MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt. However, in the non-MCD subtype, patients with MYD88-CD79Bco-mut exhibited significantly inferior OS than MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt, while there was no significant OS difference between MYD88/CD79Bsingle-mut and MYD88-CD79Bco-wt (median OS: 68.8 [95% CI 22-NA] vs NA [95% CI 112-NA] vs 177.7 [95% CI 159-NA] months; MYD88-CD79Bco-mut vs MYD88/CD79Bsingle-mut: p = 0.02; MYD88-CD79Bco-mut vs MYD88-CD79Bco-wt: p = 0.03; MYD88/CD79Bsingle-mut vs MYD88-CD79Bco-wt: p = 0.33). Regarding patients with MYD88-CD79Bco-mut, there was no significant difference in PFS and OS between the MCD and non-MCD subtypes. Within the MYD88-CD79Bco-mut group, patients with PIM1mut had better PFS than PIM1wt (median PFS: 8.34 [95% CI 5.56-NA] vs 43.8 [95% CI 26.4-NA] months; p = 0.02). Possible mechanisms contributing to the superior PFS of PIM1mut patients may include activated lymphocyte-mediated immunity and interferon response, a higher proportion of natural killer T cells and plasmacytoid dendritic cells, as well as suppressed angiogenesis and epithelial-mesenchymal transition, along with lower fibroblast and stromal score. CONCLUSIONS: In the MCD subtype, patients with MYD88-CD79Bco-mut showed comparable PFS and OS compared to MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt, while in the non-MCD subtype, they exhibited significantly inferior OS. There was no significant disparity in PFS and OS of MYD88-CD79Bco-mut between the MCD and non-MCD subtypes. The presence of PIM1mut within the MYD88-CD79Bco-mut group correlated with better PFS, which may result from an intricate interplay of immune processes and tumor microenvironment alterations.

High-Throughput Antigen Microarray Identifies Longitudinal Prognostic Autoantibody for Chemoimmunotherapy in Advanced Non-Small Cell Lung Cancer.

Chemoimmunotherapy has evolved as a standard treatment for advanced non-small cell lung cancer (aNSCLC). However, inevitable drug resistance has limited its efficacy, highlighting the urgent need for biomarkers of chemoimmunotherapy. A three-phase strategy to discover, verify, and validate longitudinal predictive autoantibodies (AAbs) for aNSCLC before and after chemoimmunotherapy was employed. A total of 528 plasma samples from 267 aNSCLC patients before and after anti-PD1 immunotherapy were collected, plus 30 independent formalin-fixed paraffin-embedded samples. Candidate AAbs were firstly selected using a HuProt high-density microarray containing 21,000 proteins in the discovery phase, followed by validation using an aNSCLC-focused microarray. Longitudinal predictive AAbs were chosen for ELISA based on responders versus non-responders comparison and progression-free survival (PFS) survival analysis. Prognostic markers were also validated using immunohistochemistry and publicly available immunotherapy datasets. We identified and validated a panel of two AAbs (MAX and DHX29) as pre-treatment biomarkers and another panel of two AAbs (MAX and TAPBP) as on-treatment predictive markers in aNSCLC patients undergoing chemoimmunotherapy. All three AAbs exhibited a positive correlation with early responses and PFS (p < 0.05). The kinetics of MAX AAb showed an increasing trend in responders (p < 0.05) and a tendency to initially increase and then decrease in non-responders (p < 0.05). Importantly, MAX protein and mRNA levels effectively discriminated PFS (p < 0.05) in aNSCLC patients treated with immunotherapy. Our results present a longitudinal analysis of changes in prognostic AAbs in aNSCLC patients undergoing chemoimmunotherapy.

Longitudinal plasma proteomic analysis identifies biomarkers and combinational targets for anti-PD1-resistant cancer patients.

The response rate of anti-PD1 therapy is limited, and the influence of anti-PD1 therapy on cancer patients is unclear. To address these challenges, we conducted a longitudinal analysis of plasma proteomic changes with anti-PD1 therapy in non-small cell lung cancer (NSCLC), alveolar soft part sarcoma (ASPS), and lymphoma patients. We included 339 plasma samples before and after anti-PD1 therapy from 193 patients with NSCLC, ASPS, or lymphoma. The plasma proteins were detected using data-independent acquisition-mass spectrometry and customable antibody microarrays. Differential proteomic characteristics in responders (R) and non-responders (NR) before and after anti-PD1 therapy were elucidated. A total of 1019 proteins were detected using our in-depth proteomics platform and distributed across 10-12 orders of abundance. By comparing the differential plasma proteome expression between R and NR groups, 50, 206, and 268 proteins were identified in NSCLC, ASPS, and lymphoma patients, respectively. Th17, IL-17, and JAK-STAT signal pathways were identified upregulated in NR group, while cellular senescence and transcriptional misregulation pathways were activated in R group. Longitudinal proteomics analysis revealed the IL-17 signaling pathway was downregulated after treatment. Consistently, many proteins were identified as potential combinatorial therapeutic targets (e.g., IL-17A and CD22). Five noninvasive biomarkers (FLT4, SFTPB, GNPTG, F5, and IL-17A) were further validated in an independent lymphoma cohort (n = 39), and another three noninvasive biomarkers (KIT, CCL3, and TNFSF1) were validated in NSCLC cohort (n = 76). Our results provide molecular insights into the anti-PD1 therapy in cancer patients and identify new therapeutic strategies for anti-PD1-resistant patients.

Development and validation of a novel risk stratification model and a survival rate calculator for diffuse large B-cell lymphoma in the rituximab era: a multi-institutional cohort study.

BACKGROUND: This study aimed to develop and validate a novel risk stratification model and a web-based survival rate calculator to improve discriminative and predictive accuracy for diffuse large B-cell lymphoma (DLBCL) in the rituximab era. METHODS: We retrospectively collected pre-treatment data from 873 primary DLBCL patients who received R-CHOP-based immunochemotherapy regimens at the Cancer Hospital, Chinese Academy of Medical Sciences, from January 1, 2005, to December 31, 2018. An independent cohort of 175 DLBCL patients from Fujian Cancer Hospital was used for external validation. FINDINGS: Age, ECOG PS, number of extranodal sites, Ann Arbor stage, bulky disease, and LDH levels were screened to develop the nomogram and web-based survival rate calculator. The C-index of the nomogram in the training, internal validation, and external validation cohorts was 0.761, 0.758, and 0.768, respectively. The risk stratification model generated based on the nomogram effectively stratified patients into three distinct risk groups. K-M survival curves demonstrated that the novel risk stratification model exhibited a superior level of predictive accuracy compared to IPI, R-IPI, and NCCN-IPI both in training and two validation cohorts. Additionally, the area under the curve (AUC) value of the novel model (0.763) for predicting 5-year overall survival rates was higher than those of IPI (0.749), R-IPI (0.725), and NCCN-IPI (0.727) in the training cohort. Similar results were observed in both internal and external validation cohort. CONCLUSIONS: In conclusion, we have successfully developed and validated a novel risk stratification model and a web-based survival rate calculator that demonstrated superior discriminative and predictive accuracy compared to IPI, R-IPI, and NCCN-IPI in the rituximab era.

Efficacy and safety of PD-1 monoclonal antibody plus rituximab in relapsed/refractory diffuse large B cell lymphoma patients.

BACKGROUND: Patients with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL) have poor outcomes and few treatment options. We report the preliminary results of the efficacy and safety of PD-1 monoclonal antibody (mab) plus Rituximab for r/r DLBCL. METHODS: In this single-center, single-arm phase 2 and retrospective study, r/r DLBCL patients received PD-1 mab and Rituximab every 3 weeks. Immunohistochemistry, fluorescence in situ hybridization, and probe capture-based high-resolution sequencing were performed. Efficacy, safety and prognostic factors were analyzed. RESULTS: Between October 16th, 2018, and July 10th, 2022, 36 patients (10 patients in retrospective study and 26 patients in phase 2 study) were enrolled and received at least one dose of PD-1 mab combined with Rituximab. The objective response rate was 52.8%. The median progression free survival (PFS) and overall survival was 2.8 and 19.6 months, respectively. The median duration of response was 18.7 months. Rare grade 3 or 4 treatment related adverse events were observed. B2M mutations correlated with a significantly poor PFS (p = .013) and OS (p = .009) in DLBCL patients treated with this regimen. CONCLUSION: PD-1 mab combined with Rituximab could be a potential treatment option for r/r DLBCL with manageable safety profile.

MYD88L265P and MYD88other variants show different molecular characteristics and prognostic significance in diffuse large B-cell lymphoma.

PURPOSE: This study aims to investigate the clinical and molecular differences between diffuse large B-cell lymphoma (DLBCL) patients with MYD88L265P and MYD88other. METHODS: DLBCL patients with MYD88 variations were collected from the Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CHCAMS), and Suzhou Municipal Hospital from February 6th, 2007 to May 20th, 2022. Clinicopathological parameters and treatment outcomes between MYD88L265P and MYD88other were investigated. RESULTS: A total of 132 patients with MYD88 variations from a cohort of 475 DLBCL patients were included, among which, 78 were MYD88L265P, while 54 were MYD88other. MYD88L265P was more common in non-GCB subtype than MYD88other (83% vs. 60%, P = 0.004). Besides, MYD88L265P was significantly related to higher proportion of testicle/ central nervous system involvement (31% vs. 6%, P < 0.001), PIM1 mutation (71% vs. 39%, P < 0.001), and PIM1 hypermutation (28% vs. 11%, P = 0.018), compared with MYD88other. Compared with MYD88L265P, MYD88other were more likely to have higher percentage of advanced stage (60% vs. 42%, P = 0.044), extranodal site ≥ 2 (45% vs. 28%, P = 0.044), elevated LDH (55% vs. 35%, P = 0.033), positive CD10 expression (36% vs. 16%, P = 0.009), BCL-6 translocation (20% vs. 8%, P = 0.033), and NOTCH pathway gene alteration (24% vs. 13%, P = 0.040). In non-GCB DLBCL subtype, patients with MYD88other were significantly associated with worse progression free survival (PFS) than those with MYD88L265P when treated initially with R-CHOP/R-CHOP-like regimen (P = 0.010). CONCLUSION: The findings of this study indicate that DLBCL patients with MYD88L265P and MYD88other are likely to be two subgroups with different clinical and molecular characteristics. The survival of patients with MYD88other is not superior than those with MYD88L265P, even poorer when focusing on the non-GCB subtype.

The clinical features, treatment, and prognostic factors for peripheral T-cell lymphomas: A single-institution analysis of 240 Chinese patients.

AIM: This study aimed to analyze the clinical features, treatment, survival, and prognostic factors of Chinese patients with peripheral T-cell lymphoma (PTCL) excluding natural killer/T-cell lymphoma (NKTCL). METHODS: Data on patients with newly diagnosed PTCLs between January 1, 2006 and December 31, 2017 at our hospital were retrospectively reviewed. Patients with NKTCL were excluded. RESULTS: A total of 240 patients were included. PTCL, not otherwise specified (PTCL-NOS), was the most frequent subtype (42.5%), followed by angioimmunoblastic T-cell lymphoma (AITL) (21.3%), anaplastic lymphoma kinase (ALK)-negative anaplastic large-cell lymphoma (ALK-ALCL) (16.7%), ALK-positive ALCL (ALK+ALCL) (10.8%) and others (8.8%). With a median follow-up of 81.1 months, the 5-year progression-free survival (PFS) and overall survival (OS) rates for all patients were 30.4% (95% CI 25.0%-37.0%) and 48.8% (95% CI 42.6%-55.7%), respectively. On multivariate analysis, no consolidative autologous stem cell transplantation (ASCT) and not achieving complete response after first-line chemotherapy retained independently prognostic value for inferior PFS and OS. Besides, bone marrow involvement and serum albumin level were independent factors for PFS, and Eastern Cooperative Oncology Group performance status ≥2 was significantly predictive of inferior OS. Compared with PTCL-NOS, significantly superior PFS and OS were observed for ALK+ALCL and ALK-ALCL. CONCLUSION: The survival outcomes with current treatment for most PTCL subtypes are still unsatisfactory. Prospective randomized studies are needed to establish the value of consolidative ASCT in PTCL, and novel therapeutic approaches should be explored.

Genetic Profiling of Diffuse Large B-Cell Lymphoma: A Comparison Between Double-Expressor Lymphoma and Non-Double-Expressor Lymphoma.

INTRODUCTION: Data are limited regarding the genetic profiling of diffuse large B-cell lymphoma (DLBCL) with double expression of MYC and BCL2 proteins without underlying rearrangements (double-expressor lymphoma [DEL]). This study aimed to describe the genetic profiling and determine the prognostic significance in patients with DEL and in those with non-DEL. METHODS: Capture-based targeted sequencing was performed on 244 patients with de novo DLBCL, not otherwise specified. Immunohistochemistry staining was performed for evaluating the MYC and BCL2 expression. RESULTS: Among 244 patients, 46 patients had DEL, and 198 had non-DEL. KMT2D, CD58, EP300, PRDM1, TNFAIP3 and BCL2 gain or amplification (BCL2GA/AMP) were significantly more frequently altered in the DEL group. Alterations in the BCR/TLR (p = 0.021), B-cell development and differentiation (p = 0.004), and NF-κB (p = 0.034) pathways occurred more frequently in patients with DEL. Thirty-seven DEL patients and 132 non-DEL patients were included for survival analyses. DEL was not significantly associated with progression-free survival (PFS) (p = 0.60) and overall survival (OS) (p = 0.49). In DEL patients, after adjusting for the International Prognostic Index, BCL2 alteration (HR 2.516, 95% CI 1.027-6.161; p = 0.044) remained an independent predictor of inferior PFS. BCL2GA/AMP also predicted poor PFS, but with marginal statistical significance (HR 2.489, 95% CI 0.995-6.224; p = 0.051). CONCLUSION: There was difference in profiling of altered genes and signaling pathways between the DEL group and the non-DEL group. The presence of DEL alone should not be considered as an adverse prognostic indicator, and BCL2 alteration could define a subset of patients with poor prognosis within DEL.

Clinical characteristics and treatment outcomes of Chinese diffuse large B-cell lymphoma patients in the era of rituximab (2005-2018).

Background: Rituximab combined with cyclophosphamide, doxorubicin hydrochloride, vincristine, and prednisone (R-CHOP) regimen has improved the survival of diffuse large B-cell lymphoma (DLBCL) patients worldwide, compared with CHOP alone. Several limitations were seen in previous studies of Chinese DLBCL patients treated with R-CHOP or R-CHOP-like regimens. This study aimed to investigate the clinical characteristics and treatment outcomes of Chinese DLBCL patients treated with the standard first-line treatment. Methods: Clinical data were collected from DLBCL patients who received frontline R-CHOP or R-CHOP-like regimens at the Cancer Hospital Chinese Academy of Medical Sciences & Peking Union Medical College (CHCAMS) between January 1, 2005, and December 31, 2018. The treatment outcomes were compared with those of patients diagnosed with DLBCL between 2004 and 2017 and who received immunochemotherapy from the United States Surveillance, Epidemiology, and End Results (SEER) database. Survival rates were estimated using the Kaplan-Meier method and compared using the log-rank test. Multivariate analysis of progression-free survival (PFS) and overall survival (OS) was performed using Cox proportional hazard regression. Results: Overall, 1084 patients from the CHCAMS and 4013 patients from the SEER database were included in the study. As of April 30, 2022, the median follow-up period for the CHCAMS group was 87.3 (range: 0.5-195.4) months. For the CHCAMS group, the 5-year PFS and OS rates were 61.7% (95% confidence interval [CI]: 58.8-64.7%) and 70.6% (95% CI: 67.8-73.4%), respectively. For the SEER group, the 5-year OS rate was 66.5% (95% CI: 65.0-68.0%), which was inferior to that of the CHCAMS group (P â€‹< â€‹0.001). After adjusting for clinical factors and treatment, no significant difference was observed in the OS between the CHCAMS and SEER groups (P â€‹= â€‹0.867). In the CHCAMS group, multivariate analysis showed that an Eastern Cooperative Oncology Group performance status score ≥2, presence of B symptoms, Ann Arbor stage III-IV, elevated serum ß2-microglobulin levels, and bulky mass were independent adverse prognostic factors affecting PFS and OS (P â€‹< â€‹0.05). Additionally, patients aged over 60 years, elevated lactate dehydrogenase levels, and more than two extranodal sites were independent adverse prognostic factors for OS (P â€‹< â€‹0.05). Local radiotherapy was significantly associated with better PFS (P â€‹< â€‹0.001) and OS (P â€‹= â€‹0.001). Conclusion: After adjusting for clinical and treatment-related factors, no significant difference was observed in the 5-year OS rate between Chinese DLBCL patients treated with standard first-line treatment and those from the SEER database.

Enhancement of the International prognostic index with ß2-microglobulin, platelet count and red blood cell distribution width: a new prognostic model for diffuse large B-cell lymphoma in the rituximab era.

BACKGROUND: This study aimed to propose a new user-friendly, cost effective and robust risk model to facilitate risk stratification for diffuse large B-cell lymphoma (DLBCL) treated with frontline R-CHOP regimens. METHODS: Data on 998 patients with de novo DLBCL diagnosed between Jan 1st, 2005 and Dec 31st, 2018 at our center, who received frontline R-CHOP or R-CHOP-like regimens, were retrospectively collected. Patients were randomly divided into the training cohort (n = 701) and the validation cohort (n = 297). A new prognostic model for overall survival (OS) was built based on the training cohort. The performance of the new model was compared with International prognostic index (IPI), revised IPI (R-IPI) and National Comprehensive Cancer Network (NCCN)-IPI (NCCN-IPI). The new model was validated in the validation cohort. RESULTS: The multivariate analysis of the training cohort showed that the IPI, ß2-microglobulin, platelet count and red blood cell distribution width were independent factors for OS, which were incorporated into the new prognostic model. Patients were stratified into low risk, low-intermediate risk, high-intermediate risk, high risk and very high risk groups, with distinct survival outcomes. The new model achieved good C-indexes for 5-year OS prediction of 0.750 (95%CI 0.719-0.781) and 0.733 (95%CI 0.682-0.784) in the training and validation cohorts, respectively, and displayed well-fitted calibration curves. The C-index and the time-dependent ROC analysis demonstrated better performance of the new model than the IPI, R-IPI and NCCN-IPI in both training and validation cohorts. The integrated Brier score for predicting 5-year OS of the new model was lower than that of the IPI, R-IPI and NCCN-IPI in both cohorts, and decision curve analysis also showed a higher net benefit, indicating the superiority of the new model over the conventional models. CONCLUSION: The new prognostic model might be a useful predictive tool for DLBCL treated with R-CHOP regimens. Further external validation is warranted.

First-Line Chemoradiation With or Without Chidamide (Tucidinostat) in Patients With Intermediate- and High-Risk Early-Stage Extranodal Nasal-Type Natural Killer/T-Cell Lymphoma: A Randomized Phase 2 Study in China.

PURPOSE: We investigated the safety and efficacy profile of intensity-modulated radiation therapy (IMRT) followed by gemcitabine, dexamethasone, cisplatin (GDP), plus chidamide in the first-line setting for intermediate- and high-risk early-stage extranodal natural killer/T-cell lymphoma, nasal type (ENKTCL). METHODS: This was an open-label, randomized phase 2 trial performed at 2 centers in China. Patients were eligible if they were newly-diagnosed with intermediate- and high-risk early-stage ENKTCL with at least one risk factor based on a nomogram-revised risk index: >60 years old, elevated serum lactate dehydrogenase, invasion of the primary tumor, stage II or Eastern Cooperative Oncology Group performance status >1 or stage II disease. Patients were treated with IMRT followed by GDP, with or without chidamide, in the first-line setting. Two-year progression-free survival (PFS) comprised the primary endpoint. Toxicities, the 2-year overall survival (OS), and the response rate comprised the secondary endpoints. RESULTS: Eligible patients (N = 74) were enrolled between May 2015 and December 2019. Among them, 37 patients were treated with IMRT + GDP + chidamide (chidamide group), whereas 37 cases were treated with IMRT + GDP (control group). Follow-up comprised a median of 43.4 months (range, 1.0-74.6 months). The objective response rate was 86.5% in the chidamide group and 78.4% in the control group (P = .359) at the end of treatment completion. The 2 year OS and PFS rates were 89.2% and 75.2% in the chidamide group versus 83.8% (P = .388) and 70.2% (P = .821) in the control group. The main adverse events were hematological toxicities and mucositis, with similar rates in the 2 groups (P > .05). CONCLUSIONS: The addition of chidamide to IMRT + GDP as first-line treatment achieved similar treatment outcomes and tolerable toxicities compared with IMRT + GDP in patients with intermediate- and high-risk early-stage ENKTCL.

A new prognostic model including platelet/lymphocyte ratio and International Prognostic Score 3 for freedom from progression in patients with previously untreated advanced classical Hodgkin lymphoma.

PURPOSE: We aimed to develop a new risk stratification tool to predict freedom from progression (FFP) for newly diagnosed advanced classical Hodgkin lymphoma (cHL). METHODS: We collected data from 386 patients with advanced cHL diagnosed between December 8, 2000 and October 29, 2018, and treated with curative intent with ABVD (doxorubicin, bleomycin, vinblastine, and dacarbazine) or an ABVD-equivalent regimen. Cases were randomly divided into training and validation cohorts at a ratio of 7:3. The new model was constructed based on the results of Cox proportional hazards model in the training cohort. Comparisons of discrimination between the new model and other models in the training and validation cohorts for FFP prediction were measured by time-dependent area under curve (tAUC) and Harrell's C-index. Calibration plots were constructed to compare the consistency between the predicted and observed estimates of survival probability for the new model in the training and validation cohorts. RESULTS: The new model (IPSPLR) composed of International Prognostic Score (IPS)-3 and platelet/lymphocyte ratio (PLR) provided four distinct risk groups. The IPSPLR showed better discriminative ability when compared with IPS-3 and IPS-7. The AUC of IPSPLR was consistently higher than that of IPS-3 and IPS-7 between 12 and 120 months. The C-index of the IPSPLR was higher than that of IPS-7 and IPS-3. The calibration plots showed an excellent agreement between the IPSPLR-predicted and observed estimates of 5-year FFP. CONCLUSION: The IPSPLR is an easily used tool for FFP prediction for newly diagnosed advanced cHL. Validation of this tool in other large datasets is needed.

Prognostic role of red blood cell distribution width and platelet/lymphocyte ratio in early-stage classical Hodgkin lymphoma.

Background: To investigate the prognostic role of red blood cell distribution width (RDW) and platelet/lymphocyte ratio (PLR) in early-stage classical Hodgkin lymphoma (cHL). Materials & methods: Data from 402 patients with newly diagnosed early-stage cHL were retrospectively collected. The impact of factors on complete response (CR) rate and freedom from progression (FFP) was analyzed. Results: High PLR was associated with lower CR, but high RDW was not. The univariate analysis showed that RDW and PLR were predictive of FFP. On multivariate analysis, high PLR was an independent risk factor for inferior FFP. Subgroup analysis and a prognostic model for FFP based on PLR validated the prognostic role of PLR. Conclusion: PLR was a robust prognostic factor for newly diagnosed early-stage cHL.

A prognostic nomogram constructed for relapsed or refractory diffuse large B-cell lymphoma patients.

AIM: The clinical course of diffuse large B-cell lymphoma (DLBCL) is variable and there is a lack of prognostic markers and models for relapsed or refractory (r/r) DLBCL. Hence, we conducted this study to identify independent factors that can predict the survival rate of r/r DLBCL patients. METHODS: A total of 416 r/r DLBCL patients who were pretreated with first-line anthracycline-based chemotherapy at the National Cancer Center in China between 2006 and 2016 were divided into the primary (n = 291) and validation (n = 125) cohorts. The effect of preclinical and clinical indicators on DLBCL survival rates of the two cohorts were evaluated by univariate and multivariate analyses. Factors showing good correlation with patient survival rates were used to construct a prognostic nomogram. RESULTS: Multivariate analysis of the primary cohort revealed five independent prognostic factors: lactate dehydrogenase level at diagnosis, response to front line treatment, progression/recurrence pattern, location, and invasion on progression/recurrence, which were then used to construct a nomogram. The nomogram was shown to have a C-index of 0.76 and AUC values of 0.81 and 0.80 for the primary and validation cohorts, respectively, suggesting good prognostic power. We further stratified the r/r DLBCL patients into four risk groups according to the newly developed nomogram. CONCLUSION: The prognostic nomogram constructed using the five identified clinical indicators can potentially be applied in the clinical setting to guide treatment decision.

Dismal outcome of relapsed or primary refractory adult T-cell lymphoblastic lymphoma: A retrospective study from China.

AIM: Little is known about the outcome and prognostic factors of relapsed or refractory T-cell lymphoblastic lymphoma (T-LBL), especially in adult patients. The aim of this study was to analyze the characteristics, outcome and prognostic factors for this patient population. METHODS: Between January 2006 and December 2017, we retrospectively analyzed 84 adult patients with T-LBL, and 44 relapsed or primary refractory patients were included in this analysis. Clinical features, treatment and follow-up information were collected. RESULTS: For all 44 patients, the median time to disease progression or relapse was 9.5 months after diagnosis. At a median follow-up of 19.6 months, 40 (90.9%) patients died. The 3- and 5-year overall survival (OS) rates after disease progression or relapse were 7.8% and 5.2%, respectively. Among 30 patients who had detailed information of second-line treatment, only eight achieved a second complete remission (CR). Two of these eight patients subsequently underwent autologous or allogeneic stem cell transplantation (SCT), of whom one died from disease progression after autologous SCT, and one was free of event at 84 months after allogeneic SCT. Three of the rest six patients in second CR were still alive after chemotherapy alone. All the remaining patients who failed to gain second CR eventually died. In univariate analysis, only the achievement of second CR was positively predictive of OS (hazard ratio (HR) = 0.307; 95% confidence interval (CI), 0.104-0.905; P = 0.032). CONCLUSION: The outcome of adult patients with relapsed or refractory T-LBL is extremely dismal. Patients with relapsed or refractory T-LBL should be encouraged to participate in clinical trials where novel therapeutic approaches are available.

Anti-PD1/PDL1 IgG subclass distribution in ten cancer types and anti-PD1 IgG4 as biomarker for the long time survival in NSCLC with anti-PD1 therapy.

BACKGROUND: Antibodies targeting programmed cell death-1(PD1) and its ligand (PDL1) have revolutionized cancer therapy. However, little is known about the preexisted anti-PD1/PDL1 autoantibodies (AAbs) distribution in multiple cancer types, nor is their potential biomarker role for anti-PD1 therapy. METHOD: Plasma anti-PD1/PDL1 AAb IgG and subclasses (IgG1-4) were detected by enzyme-linked immune sorbent assay (ELISA) in 190 cancer patients, covering 10 cancer types (lung, breast, esophageal, colorectal, liver, prostatic, cervical, ovarian, gastric cancers and lymphoma), the comprehensive correlation of AAbs with multiple clinical parameters was analyzed. We further tested these AAbs in 76 non-small cell lung cancer (NSCLC) samples receiving anti-PD1 therapy, the association of AAbs level with survival was analyzed and validated in an independent cohort (n = 32). RESULTS: Anti-PD1/PDL1 AAb IgG were globally detected in 10 types of cancer patients. IgG1 and IgG2 were the major subtypes for anti-PD1/PDL1 AAbs. Correlation analysis revealed a distinct landscape between various cancer types. The random forest model indicated that IgG4 subtype was mostly associated with cancer. In discovery cohort of 76 NSCLC patients, high anti-PD1 IgG4 was associated with a reduced overall survival (OS, p = 0.019), not progression-free survival (PFS, p = 0.088). The negative association of anti-PD1 IgG4 with OS was validated in 32 NSCLC patients (p = 0.032). CONCLUSION: This study reports for the first time the distribution of preexisted anti-PD1/PDL1 AAb IgG and subclasses across 10 cancer types. Moreover, the anti-PD1 AAb IgG4 subclass was identified to associate with OS, which may serve as a potential biomarker for anti-PD1 therapeutic survival benefit in NSCLC patients.

Development and validation of a UPLC-MS/MS method to quantitate anti-PD1 monoclonal antibody (Toripalimab), and comparison with electrochemiluminescence immunoassay.

Toripalimab, a humanized IgG4 monoclonal antibody (mAb) against programmed death receptor-1, is being extensively studied to treat various malignancies. At present, there is no complete methodology reported for quantifying toripalimab, except for an electrochemiluminescence immunoassay (ECLIA) mentioned in several clinical studies. Therefore, a sensitive and robust ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was developed to accurately detect toripalimab levels, compared with the ECLIA. Plasma samples were pretreated by a five-step process, encompassing denaturation, reduction, alkylation, enzymatic hydrolysis and quenching. And a unique, sensitive and stable enzymatic peptide (ASGYTFTDYEMHWVR) selected as surrogate of toripalimab was eluted and monitored by UPLC-MS/MS system with the linear range of 5.0375-201.5 µg/mL. After fully validated, the UPLC-MS/MS method was applied to determine 77 plasma samples from 29 patients in a phase I clinical trial, and compared with ECLIA based on 56 samples. Wilcoxon paired samples test showed toripalimab levels by UPLC-MS/MS were significantly higher than that by ECLIA (p < 0.001), though a strong correlation was observed (r = 0.96). Moreover, Passing-Bablok regression analysis exhibited constant and proportional biases: UPLC-MS/MS = 2.25 + 1.21 * ECLIA. This discrepancy could be mainly attributed to different forms determined: total mAb for UPLC-MS/MS and free mAb for ECLIA, respectively. As a result, this UPLC-MS/MS method may be complementary to ECLIA to monitor different forms of toripalimab. Beyond that, it can be easily modified to simultaneously quantitate multiple-analyte with a small volume of plasma.

Prognostic value of BCL2 and TP53 genetic alterations for diffuse large B-cell lymphoma patients treated with R-CHOP.

OBJECTIVE: Limited data about the prognostic significance of BCL2 mutations and BCL2 copy number variations in diffuse large B-cell lymphoma (DLBCL) are available. This study aimed to comprehensively describe BCL2 genetic alterations in DLBCL patients, and examine correlation of BCL2, TP53 and other genetic alterations with outcomes in patients treated with R-CHOP. METHODS: Probe capture-based high-resolution sequencing was performed on 191 patients diagnosed with de novo DLBCL. MYC, BCL2, and BCL6 protein expressions were detected by immunohistochemistry. RESULTS: The presence of BCL2 alterations significantly correlated with poor progression-free survival (PFS) (5-year PFS: 13.7% vs. 40.8%; P = 0.003) and overall survival (OS) (5-year OS: 34.0% vs. 70.9%; P = 0.036). Importantly, patients who harbored BCL2 gain/amplifications (BCL2GA/AMP) also had a remarkably inferior 5-year PFS (11.1% vs. 38.3%; P < 0.001) and OS (22.1% vs. 69.6%; P = 0.009). In contrast, neither BCL2 mutations nor BCL2 translocations were significantly prognostic for survival. Multivariable analyses showed that the presence of BCL2 alterations, especially BCL2GA/AMP, TP53 mutations, and International Prognostic Index (IPI) were significantly associated with inferior PFS and OS. Novel prognostic models for OS were constructed based on 3 risk factors, including BCL2 alterations (Model 1) or BCL2GA/AMP (Model 2), TP53 mutations, and IPI, to stratify patients into 4 risk groups with different survival outcomes. CONCLUSIONS: This study showed that DLBCL patients treated with R-CHOP, BCL2 alterations, especially BCL2GA/AMP and TP53 mutations were significantly associated with inferior outcomes, which were independent of the IPI. The novel prognostic models we proposed predicted outcomes for DLBCL patients treated with R-CHOP, but further validation of the prognostic models is still warranted.

The pretreatment platelet count predicts survival outcomes of diffuse large B-cell lymphoma: An analysis of 1007 patients in the rituximab era.

BACKGROUND: The prognostic value of platelet count in diffuse large B-cell lymphoma (DLBCL) has not been extensively investigated. We aimed to examine the association of pretreatment platelet count with disease features, and further examine the prognostic significance of platelet count in DLBCL treated with the R-CHOP regimen. METHODS: Patients with DLBCL diagnosed between Jan 1 st, 2005 and Dec 31 st, 2018 at Cancer Hospital, Chinese Academy of Medical Sciences were retrospectively analyzed. Propensity score matching (PSM) was used to balance confounding factors. RESULTS: A total of 1007 eligible patients who received frontline R-CHOP or R-CHOP-like regimens were included in this study. The optimal cutoff value of platelet count was 157 × 109/L, as determined by the Maximally Selected Rank Statistics method. Patients with the platelet count ≤157 × 109/L had significantly inferior overall survival (OS) (5-year OS, 44.4 % vs. 74.9 %, P < 0.001) and progression-free survival (PFS) (5-year PFS, 35.5 % vs. 65.9 %, P < 0.001) than those with the platelet count >157×109/L. Multivariate analyses showed that pretreatment platelet count ≤ 157 × 109/L was an adversely independent prognostic factor for OS (hazard ratio [HR] 1.960, 95 % confidence interval [CI] 1.418-2.709, P<0.001) and PFS (HR 1.443, 95 %CI 1.080-1.927, P = 0.013). The PSM analysis and subgroup analyses further confirmed the significantly negative impact of low platelet count on OS and PFS. CONCLUSION: The pretreatment platelet count may be a simple, cost-effective and useful prognostic factor in DLBCL patients treated with frontline R-CHOP regimens. Further investigation is warranted to elucidate the biologic mechanism underlying the prognostic significance of platelet count in DLBCL.