Identification of novel prognostic autoantibodies in diffuse large B-cell lymphoma treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone via a high-throughput antigen microarray.

BACKGROUND: R-CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone) is a standard first-line treatment for diffuse large B-cell lymphoma (DLBCL). However, 20%-40% of patients survive less than 5 years. Novel prognostic biomarkers remain in demand. METHODS: Baseline plasma autoantibodies (AAbs) were assessed in 336 DLBCLs. In the discovery phase (n = 20), a high-density antigen microarray (∼21,000 proteins) was used to expound AAb profiles. In the verification phase (n = 181), with a DLBCL-focused microarray, comparative results based on event-free survival at 24 months (EFS24) and lasso Cox regression models of progression-free survival (PFS) and overall survival (OS) were integrated to identify potential biomarkers. They were further validated by enzyme-linked immunosorbent assay in validation phase 1 (n = 135) and a dynamic cohort (n = 12). In validation phase 2, a two-AAb-based risk score was established. They were further validated in an immunohistochemistry cohort (n = 55) and four independent Gene Expression Omnibus datasets (n = 1598). RESULTS: Four AAbs (CREB1, N4BP1, UBAP2, and DEAF1) were identified that showed associations with EFS24 status (p < .05) and superior PFS and OS (p < .05). A novel risk score model based on CREB1 and N4BP1 AAbs was developed to predict PFS with areas under the curve of 0.72, 0.71, 0.76, and 0.82 at 1, 3, 5, and 7 years, respectively, in DLBCL treated with R-CHOP independent of the International Prognostic Index (IPI) and provided significant additional recurrence risk discrimination (p < .05) for the IPI. CREB1 and N4BP1 proteins and messenger RNAs were also associated with better PFS and OS (p < .05). CONCLUSIONS: This study identified a novel prognostic panel of CREB1, N4BP1, DEAF1, and UBAP2 AAbs that is independent of the IPI in DLBCL.

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.

Brain metastases and immune checkpoint inhibitors in non-small cell lung cancer: a systematic review and meta-analysis.

BACKGROUND: The use of immune checkpoint inhibitors (ICIs) for brain metastases (BMs) from non-small cell lung cancer (NSCLC) remains debatable. This study aimed to explore the efficacy of ICIs for NSCLC with BMs. We also evaluated the effect of BMs on outcomes of ICIs. METHODS: A systematic search of PubMed, Embase, Web of Science, and Cochrane databases was conducted to identify studies where the efficacy of ICIs against BMs from NSCLC, or the association between BMs and outcomes of ICIs were evaluated. Outcomes included intracranial objective response rate (icORR), intracranial disease control rate (icDCR), systemic ORR and DCR. RESULTS: Overall, 33 studies were included in this meta-analysis. The pooled icORR was 13% (95%CI 6-23%) and icDCR was 50% (95%CI 40-63%) for programmed cell death-ligand 1 (PD-L1) unselected patients with any BMs. For active BMs, pooled icORR was 15% (95%CI 6-28%) and icDCR was 47% (95% CI 36-57%). For PD-L1 ≥ 50% patients with any BMs, pooled icORR and icDCR were 68% (95%CI 57-80%) and 82% (95%CI 73-92%), respectively. Additionally, pooled systemic ORR and DCR for any BMs were 22% (95%CI 15-30%) and 41% (95%CI 18-67%), respectively. Patients with BMs had inferior progression-free survival (HR 1.19, 95%CI 1.07-1.33, P = 0.0016) and overall survival (HR 1.14, 95%CI 1.03-1.25, P = 0.011) when applying ICIs compared to those without BMs. However, no significant difference in systemic ORR between patients with and without BMs was observed (OR 0.94, 95%CI 0.72-1.20, P = 0.629). CONCLUSION: ICIs may be clinically active in NSCLC patients with BMs. More effective treatments for BMs from NSCLC are needed.

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.

Toxicity profile of anaplastic lymphoma kinase tyrosine kinase inhibitors for patients with non-small cell lung cancer: A systematic review and meta-analysis.

Anaplastic lymphoma kinase (ALK) inhibitors are commonly used for patients harboring ALK-positive non-small cell lung cancer (NSCLC). This meta-analysis was conducted to evaluate the toxicity profile of ALK inhibitors. Pubmed, Web of Science, Embase, and the Cochrane Central Register of Controlled Trials databases were systematically searched for clinical trials conducted in advanced NSCLC treated with ALK inhibitors. The incidences of pooled adverse events (AEs) were conducted using the random effects model. We included 30 studies in the meta-analysis. Almost all patients receiving ALK inhibitor monotherapy occurred at least one AE. The pooled incidences of grade ≥ 3 AEs were 71.3% for ceritinib 750 mg, 44.6% for crizotinib, 37.4% for alectinib, and 35.3% for ensartinib. Only one study each reported the incidence of grade ≥ 3 AEs for brgatinib (72.8%), lorlatinib (72.4%), and ceritinib 450 mg (64.8%), respectively. The rates of dose reduction due to AEs ranking from high to low were ceritinib 750 mg, brigatinib, ceritinib 450 mg, lorlatinib, crizotinib, ensartinib, and alectinib. The rates of treatment discontinuation due to AEs were low, ranging from 3.8% to 10.5%. Gastrointestinal AEs were most common for ceritinib 750 mg. Hepatic transaminases elevation was mostly observed in ceritinib and brigatinib. Rash frequently occurred for ensartinib. Lorlatinib had a high incidence of hypertriglyceridemia and hypercholesterolemia, which were rarely reported in other ALK inhibitors. The incidences of grade ≥ 3 AEs for individual ALK inhibitor were moderately high yet manageable. Different toxicity spectrums were found in each ALK inhibitor.

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.

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.

Low CCL19 expression is associated with adverse clinical outcomes for follicular lymphoma patients treated with chemoimmunotherapy.

BACKGROUND: This study aimed to recognize the hub genes associated with prognosis in follicular lymphoma (FL) treated with first-line rituximab combined with chemotherapy. METHOD: RNA sequencing data of dataset GSE65135 (n = 24) were included in differentially expressed genes (DEGs) analysis. Weighted gene co-expression network analysis (WGCNA) was applied for exploring the coexpression network and identifying hub genes. Validation of hub genes expression and prognosis were applied in dataset GSE119214 (n = 137) and independent patient cohort from Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (n = 32), respectively, by analyzing RNAseq expression data and serum protein concentration quantified by ELISA. The Gene Set Enrichment Analysis (GSEA), gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analysis were performed. CIBERSORT was applied for tumor-infiltrating immune cells (TIICs) subset analysis. RESULTS: A total of 3260 DEGs were obtained, with 1861 genes upregulated and 1399 genes downregulated. Using WGCNA, eight hub genes, PLA2G2D, MMP9, PTGDS, CCL19, NFIB, YAP1, RGL1, and TIMP3 were identified. Kaplan-Meier analysis and multivariate COX regression analysis indicated that CCL19 independently associated with overall survival (OS) for FL patients treated with rituximab and chemotherapy (HR = 0.47, 95% CI [0.25-0.86], p = 0.014). Higher serum CCL19 concentration was associated with longer progression-free survival (PFS, p = 0.014) and OS (p = 0.039). TIICs subset analysis showed that CCL19 expression had a positive correlation with monocytes and macrophages M1, and a negative correlation with naïve B cells and plasma cells. CONCLUSION: CCL19 expression was associated with survival outcomes and might be a potential prognostic biomarker for FL treated with first-line chemoimmunotherapy.

CHIP control degradation of mutant ETF:QO through ubiquitylation in late-onset multiple acyl-CoA dehydrogenase deficiency.

Late-onset multiple acyl-CoA dehydrogenase deficiency (MADD) is the most common form of lipid storage myopathy. The disease is mainly caused by mutations in electron-transfer flavoprotein dehydrogenase gene (ETFDH), which leads to decreased levels of ETF:QO in skeletal muscle. However, the specific underlying mechanisms triggering such degradation remain unknown. We constructed expression plasmids containing wild type ETF:QO and mutants ETF:QO-A84T, R175H, A215T, Y333C, and cultured patient-derived fibroblasts containing the following mutations in ETFDH: c.250G>A (p.A84T), c.998A>G (p.Y333C), c.770A>G (p.Y257C), c.1254_1257delAACT (p. L418TfsX10), c.524G>A (p.R175H), c.380T>A (p.L127P), and c.892C>T (p.P298S). We used in vitro expression systems and patient-derived fibroblasts to detect stability of ETF:QO mutants then evaluated their interaction with Hsp70 interacting protein CHIP with active/inactive ubiquitin E3 ligase carboxyl terminus using western blot and immunofluorescence staining. This interaction was confirmed in vitro and in vivo by co-immunoprecipitation and immunofluorescence staining. We confirmed the existence two ubiquitination sites in mutant ETF:QO using mass spectrometry (MS) analysis. We found that mutant ETF:QO proteins were unstable and easily degraded in patient fibroblasts and in vitro expression systems by ubiquitin-proteasome pathway, and identified the specific ubiquitin E3 ligase as CHIP, which forms complex to control mutant ETF:QO degradation through poly-ubiquitination. CHIP-dependent degradation of mutant ETF:QO proteins was confirmed by MS and site-directed mutagenesis of ubiquitination sites. Hsp70 is directly involved in this process as molecular chaperone of CHIP. CHIP plays an important role in ubiquitin-proteasome pathway dependent degradation of mutant ETF:QO by working as a chaperone-assisted E3 ligase, which reveals CHIP's potential role in pathological mechanisms of late-onset MADD.

Meta-analysis of the prognostic and clinical value of serum 25-hydroxyvitamin D levels in previously untreated lymphoma.

Background: This meta-analysis explored the prognostic and clinical value of serum 25-hydroxyvitamin D, 25(OH)D, levels in previously untreated lymphoma. Materials & methods: PubMed, Web of Science, Embase and the Cochrane Central Register of Controlled Trials databases were searched for eligible studies. Summary effect estimates and 95% CIs were pooled using random-effects or fixed-effects models. Results: Twelve studies with 4139 patients were included. Low level of serum 25(OH)D was associated with inferior progression-free survival (hazard ratio [HR]: 2.06; 95% CI: 1.82-2.32) and overall survival (HR: 1.94; 95% CI: 1.71-2.19), advanced disease (odds ratio [OR]: 1.52; 95% CI: 1.09-2.13) and elevated lactate dehydrogenase (OR: 1.84; 95% CI: 1.08-3.15). Conclusions: Low level of serum 25(OH)D is a prognostic risk factor for newly diagnosed lymphoma.

Lay abstract Vitamin D is a nutrient. Vitamin D deficiency is common in lymphoma patients. Serum level of 25-hydroxyvitamin D, 25(OH)D, reflects vitamin D status. Aim: We studied whether low levels of 25(OH)D are related with poor survival for newly diagnosed lymphoma. Materials & methods: We researched four databases for eligible studies. We then extracted data from the studies. Finally, we pooled the effect sizes based on the data. Results: Twelve studies with 4139 patients were included in the study. Results showed that low levels of serum 25(OH)D were associated with greater lymphoma progression and death. Patients with low serum 25(OH)D were likely to have poor clinical features as well. Conclusions: Low serum 25(OH)D is a risk factor for lymphoma survival. Assessment of vitamin D status should be considered in clinical practice. Further research is needed to assess the effect of vitamin D supplementation therapy.

Clinical and genetic features of somatic mosaicism in facioscapulohumeral dystrophy.

PURPOSE: To analyse the clinical spectrum, genetic features, specific D4Z4 hypomethylation status and genotype-phenotype correlations for somatic mosaicism in facioscapulohumeral dystrophy (FSHD). METHODS: This was a prospective, hospital-based, case-control, observational study of 35 participants with FSHD with somatic mosaicism recruited over 10 years, with 17 penetrant patients and 18 non-penetrant mutation carriers. This study also included a univariate comparison of 17 paired mosaic and non-mosaic patients with FSHD. RESULTS: Mosaic participants with FSHD varied in age of diagnosis (median 45; range 15-65 years), muscle strength (FSHD clinical score median 0; range 0-10 points), clinical severity (age-corrected clinical severity score (ACSS) median 0; range 0-467 points), D4Z4 repeats (median 3; range 2-5 units), mosaic proportion (median 55%; range 27%-72%) and D4Z4 methylation extent (median 49.82%; range 27.17%-64.51%). The genotypic severity scale and D4Z4 methylation extent were significantly associated with ACSS (p1=0.003; p2=0.002). Among the matched pairs, the 17 mosaic patients had shorter D4Z4 repeats, lower FSHD clinical scores and lower ACSS than non-mosaic patients. Additionally, 34 of 35 (97%) participants carried two mosaic arrays, while a single patient had three mosaic arrays (3%). Two cases also carried four-type non-mosaic arrays on chromosome 10 (translocation configuration). CONCLUSIONS: Broadly, this large mosaic FSHD cohort exhibited significant clinical heterogeneity and relatively slight disease severity. Both genotypic severity scale and D4Z4 hypomethylation status served as modifiers of clinical phenotypes. Consistent with previous reports, mitotic interchromosomal/intrachromosomal gene conversion without crossover was here identified as a major genetic mechanism underlying mosaic FSHD.

Pretreatment body mass index and clinical outcomes in cancer patients following immune checkpoint inhibitors: a systematic review and meta-analysis.

BACKGROUND: This systematic review and meta-analysis aimed to evaluate the association between pretreatment body mass index (BMI) and clinical outcomes in cancer patients treated with immune checkpoint inhibitors (ICIs). METHODS: Systematical searches of PubMed, Embase, and the Cochrane Library databases were carried out. Studies reporting on the association between BMI and outcomes of ICIs were included. The intended outcomes included overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and immune-related adverse events (irAEs). Quantitative analyses and dose-response meta-analyses were performed under random effect models. RESULTS: Twenty-two eligible studies involving 5686 cancer patients treated with ICIs were identified. Compared to those with lower BMI, patients with higher BMI obtained a significant benefit on OS (HR = 0.698, 95% CI 0.614-0.794, P < 0.001; I2 = 45.9%) and PFS (HR = 0.760, 95% CI 0.672-0.861, P < 0.001; I2 = 37.9%). Most stratified analyses for OS and PFS also showed similar pooled risk estimates. For an increment of every 5 kg/m2 in BMI, the risk for death reduced by approximately 15.6% (HR = 0.844, 95% CI 0.752-0.945, P = 0.003). Moreover, patients with higher BMI had a remarkably better ORR (OR = 0.468, 95% CI 0.263-0.833, P = 0.010; I2 = 73.6%) than that of those with lower BMI. However, no statistically significant differences were found in the incidence of any grade irAEs (P = 0.073) and ≥ 3 grade irAEs (P = 0.105) between higher and lower BMI. CONCLUSION: Higher BMI is significantly associated with improved outcomes in patients treated with ICIs. Further large-scale prospective research is warranted to better illuminate the association between BMI and outcomes from ICIs.

Event-free survival at 24 months is a robust surrogate endpoint for long-term survival in pediatric, adolescent, and adult T cell lymphoblastic lymphoma.

T cell lymphoblastic lymphoma (T-LBL) has an aggressive clinical behavior. To date, powerful and consistent prognostic factors have not been established for T-LBL. In this study, we first evaluated the association of event-free survival (EFS) at 24 months (EFS24) with overall survival (OS) in T-LBL patients. Besides, we sought to identify clinical factors of prognostic importance in this rare entity. Between January 2006 and December 2017, ninety-one patients with newly diagnosed T-LBL were retrospectively analyzed. EFS was defined as the time from diagnosis to relapse or progression, unplanned retreatment, death from any cause, or to the last follow-up. In total, 91 patients with a median age of 24 years were enrolled. At a median follow-up of 40.4 months (range, 1.4 to 163.3 months), the 5-year OS and EFS was 47.9% and 43.2%, respectively. Of all patients, 45 (49.5%) achieved EFS24 and 46 (50.5%) did not. Patients who achieved EFS24 showed a markedly superior outcome, compared with those who failed to achieve EFS24 (5-year OS, 90.5% vs 3%, P < 0.001). Univariate analysis indicated bone marrow involvement, response to induction treatment, and stem cell transplantation (SCT) consolidation to be prognostic factors for EFS and OS. In addition, compared with the patients receiving non-Hodgkin's lymphoma (NHL)-like treatment protocols, patients treated with hyper-CVAD showed significantly improved EFS and OS. Such survival advantage in terms of EFS and OS was also observed of BMF-90 regimens over NHL-like therapy, despite that the difference in EFS did not reach statistical significance (P = 0.056). Multivariate analysis demonstrated that achievement of complete remission (CR) after induction therapy and SCT consolidation were independent prognostic indicators for both EFS and OS. We confirm that EFS24 is a strong surrogate endpoint for long-term survival in T-LBL, which is clinically useful for individualized risk reassessment, future clinical trial design, and biomarker discovery validation. Further validation in the context of directed prospective clinical trials is warranted.

Fraction reduction in membrane systems.

Fraction reduction is a basic computation for rational numbers. P system is a new computing model, while the current methods for fraction reductions are not available in these systems. In this paper, we propose a method of fraction reduction and discuss how to carry it out in cell-like P systems with the membrane structure and the rules with priority designed. During the application of fraction reduction rules, synchronization is guaranteed by arranging some special objects in these rules. Our work contributes to performing the rational computation in P systems since the rational operands can be given in the form of fraction.

Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma.

BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is crucial for developing personalized therapies. METHODS: This study utilized multiple omics technologies including single-cell transcriptomics (n = 5), bulk transcriptomics (n = 966), spatial transcriptomics (n = 10), immunohistochemistry (n = 34), multiple immunofluorescence (n = 20) and to elucidate the metabolic features of highly malignant DLBCL cells and tumor-associated macrophages (TAMs), along with their associated tumor microenvironment. Metabolic pathway analysis facilitated by scMetabolism, and integrated analysis via hdWGCNA, identified glycolysis genes correlating with malignancy, and the prognostic value of glycolysis genes (STMN1, ENO1, PKM, and CDK1) and TAMs were verified. RESULTS: High-glycolysis malignant DLBCL tissues exhibited an immunosuppressive microenvironment characterized by abundant IFN_TAMs (CD68+CXCL10+PD-L1+) and diminished CD8+ T cell infiltration. Glycolysis genes were positively correlated with malignancy degree. IFN_TAMs exhibited high glycolysis activity and closely communicating with high-malignancy DLBCL cells identified within datasets. The glycolysis score, evaluated by seven genes, emerged as an independent prognostic factor (HR = 1.796, 95% CI: 1.077-2.995, p = 0.025 and HR = 2.631, 95% CI: 1.207-5.735, p = 0.015) along with IFN_TAMs were positively correlated with poor survival (p < 0.05) in DLBCL. Immunohistochemical validation of glycolysis markers (STMN1, ENO1, PKM, and CDK1) and multiple immunofluorescence validation of IFN_TAMs underscored their prognostic value (p < 0.05) in DLBCL. CONCLUSIONS: This study underscores the significance of glycolysis in tumor progression and modulation of the immune microenvironment. The identified glycolysis genes and IFN_TAMs represent potential prognostic markers and therapeutic targets in DLBCL.

Autosomal recessive primary microcephaly type 2 associated with a novel WDR62 splicing variant that disrupts the expression of the functional transcript.

Background: Autosomal recessive primary microcephaly (MCPH) is a rare neurodevelopmental disorder characterized primarily by congenital microcephaly and intellectual disability but without extra-central nervous system malformations. This investigation aimed to elucidate the genetic underpinnings of microcephaly in a patient from a Chinese consanguineous family. Methods: A comprehensive clinical assessment, including brain magnetic resonance imaging (MRI), electroencephalogram (EEG), and genetic analyses, was conducted to evaluate the patient's condition. Whole-exome sequencing (WES) was employed to identify the causative gene, followed by Sanger sequencing, to confirm the mutation and its segregation within the family. Reverse transcript polymerase chain reaction (RT-PCR) was utilized to detect changes in splicing. Western blot was employed to reveal the difference of protein expression level between the wild-type and mutant WDR62 in vitro. Results: The patient exhibited classic MCPH symptoms, including microcephaly, recurrent epilepsy, delayed psychomotor development, and intellectual disability. Additionally, asymmetrical limb length was noted as a prominent feature. MRI findings indicated reduced brain volume with cortical malformations, while EEG demonstrated heightened sharp wave activity. A molecular analysis uncovered a novel homozygous variant c.4154-6 C > G in the WDR62 intron, and a functional analysis confirmed the pathogenicity of this mutation, resulting in the formation of an abnormal transcript with premature termination codons. Conclusion: This study enhances our understanding of the genetic heterogeneity associated with MCPH and highlights the pivotal role of genetic testing in the diagnosing and managing of rare neurodevelopmental disorders. Furthermore, it highlights the potential of emerging genetic therapies in treating conditions such as MCPH2.

The influence of marital status at diagnosis on survival of adult patients with mantle cell lymphoma.

PURPOSE: Marital status has been reported to influence the survival outcomes of various cancers, but its impact on patients with mantle cell lymphoma (MCL) remains unclear. This study aimed to assess the influence of marital status at diagnosis on overall survival (OS) and cancer-specific survival (CSS) in patients with MCL. METHODS: The study utilized data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-18 databases, including 6437 eligible individuals diagnosed with MCL from 2000 to 2018. A 1:1 propensity matching method (PSM) minimized confounding factor. Univariate and multivariate analyses determined hazard ratios (HR). Stratified hazard models were developed for married and unmarried statuses across time intervals. RESULTS: Married patients exhibited better 5-year OS and CSS rates compared to unmarried patients (54.2% vs. 39.7%, log-rank p < 0.001; 62.6% vs. 49.3%, log-rank p < 0.001). Multivariate analysis indicated that being unmarried was an independent risk factor for OS (adjusted HR 1.420, 95% CI 1.329-1.517) and CSS (adjusted HR 1.388, 95% CI 1.286-1.498). After PSM, being unmarried remained an independent risk factor for both OS and CSS. Among unmarried patients, widowed individuals exhibited the poorest survival outcomes compared to patients with other marital statuses, with 5-year OS and CSS rates of 28.5% and 41.0%, respectively. Furthermore, in the 10-year OS and CSS hazard model for widowed individuals had a significantly higher risk of mortality, with the probability of overall and cancer-specific mortality increased by 1.7-fold and 1.6-fold, respectively. CONCLUSION: Marital status at diagnosis is an independent prognostic factor for MCL patients, with widowed individuals showing worse OS and CSS than those who are married, single, or divorced/separated. Adequate psychological and social support for widowed patients is crucial for improving outcomes in this patient population.

Distinct ER and PR expression patterns significantly affect the clinical outcomes of early HER2-positive breast cancer: A real-world analysis of 871 patients treated with neoadjuvant therapy.

INTRODUCTION: The impact of distinct estrogen receptor (ER) and progesterone receptor (PR) expression patterns on tumor behavior and treatment outcomes within HER2-positive breast cancer is not fully explored. This study aimed to comprehensively examine the clinical differences among patients with HER2-positive breast cancer harboring distinct ER and PR expression patterns in the neoadjuvant setting. METHODS: This retrospective analysis included 871 HER2-positive breast patients treated with neoadjuvant therapy at our hospital between 2011 and 2022. Comparisons were performed across the three hormone receptor (HR)-specific subtypes, namely the ER-negative/PR-negative/HER2-positive (ER-/PR-/HER2+), the single HR-positive (HR+)/HER2+, and the triple-positive breast cancer (TPBC) subtypes. RESULTS: Of 871 patients, 21.0% had ER-/PR-/HER2+ tumors, 33.6% had single HR+/HER2+ disease, and 45.4% had TPBC. Individuals with single HR+/HER2+ tumors and TPBC cases demonstrated significantly lower pathological complete response (pCR) rates compared to those with ER-/PR-/HER2+ tumors (36.9% vs. 24.3% vs. 49.2%, p < 0.001). Multivariate analysis confirmed TPBC as significantly associated with decreased pCR likelihood (OR = 0.42, 95%CI 0.28-0.63, p < 0.001). Survival outcomes, including disease-free survival (DFS) and overall survival (OS), showed no significant differences across HR-specific subtypes in the overall patient population. However, within patients without anti-HER2 therapy, TPBC was linked to improved DFS and a trend towards better OS. CONCLUSIONS: HER2-positive breast cancer exhibited three distinct HR-specific subtypes with varying clinical manifestations and treatment responses. These findings suggest personalized treatment strategies considering ER and PR expression patterns, emphasizing the need for further investigations to unravel molecular traits underlying HER2-positive breast cancer with distinct HR expression patterns.

Unraveling the role of M1 macrophage and CXCL9 in predicting immune checkpoint inhibitor efficacy through multicohort analysis and single-cell RNA sequencing.

The exact function of M1 macrophages and CXCL9 in forecasting the effectiveness of immune checkpoint inhibitors (ICIs) is still not thoroughly investigated. We investigated the potential of M1 macrophage and C-X-C Motif Chemokine Ligand 9 (CXCL9) as predictive markers for ICI efficacy, employing a comprehensive approach integrating multicohort analysis and single-cell RNA sequencing. A significant correlation between high M1 macrophage and improved overall survival (OS) and objective response rate (ORR) was found. M1 macrophage expression was most pronounced in the immune-inflamed phenotype, aligning with increased expression of immune checkpoints. Furthermore, CXCL9 was identified as a key marker gene that positively correlated with M1 macrophage and response to ICIs, while also exhibiting associations with immune-related pathways and immune cell infiltration. Additionally, through exploring RNA epigenetic modifications, we identified Apolipoprotein B MRNA Editing Enzyme Catalytic Subunit 3G (APOBEC3G) as linked to ICI response, with high expression correlating with improved OS and immune-related pathways. Moreover, a novel model based on M1 macrophage, CXCL9, and APOBEC3G-related genes was developed using multi-level attention graph neural network, which showed promising predictive ability for ORR. This study illuminates the pivotal contributions of M1 macrophages and CXCL9 in shaping an immune-active microenvironment, correlating with enhanced ICI efficacy. The combination of M1 macrophage, CXCL9, and APOBEC3G provides a novel model for predicting clinical outcomes of ICI therapy, facilitating personalized immunotherapy.