Objective: In this study, based on PET/CT radiomics features, we developed and validated a nomogram to predict progression-free survival (PFS) for cases with diffuse large B cell lymphoma (DLBCL) treated with immunochemotherapy.Methods: This study retrospectively recruited 129 cases with DLBCL. Among them, PET/CT scans were conducted and baseline images were collected for radiomics features along with their clinicopathological features. Radiomics features related to recurrence were screened for survival analysis using univariate Cox regression analysis withp< 0.05. Next, a weighted Radiomics-score (Rad-score) was generated and independent risk factors were obtained from univariate and multivariate Cox regressions to build the nomogram. Furthermore, the nomogram was tested for their ability to predict PFS using time-dependent receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).Results: Blood platelet, Rad-score, and gender were included in the nomogram as independent DLBCL risk factors for PFS. We found that the training cohort areas under the curve (AUCs) were 0.79, 0.84, and 0.88, and validation cohort AUCs were 0.67, 0.83, and 0.72, respectively. Further, the DCA and calibration curves confirmed the predictive nomogram’s clinical relevance.Conclusion: Using Rad-score, blood platelet, and gender of the DLBCL patients, a PET/CT radiomics-based nomogram was developed to guide cases’ recurrence risk assessment prior to treatment. The developed nomogram can help provide more appropriate treatment plans to the cases.Key Points: • DLBCL cases can be classified into low- and high-risk groups using PET/CT radiomics based Rad-score.• When combined with other clinical characteristics (gender and blood platelet count), Rad-score can be used to predict the outcome of the pretreatment of DLBCL cases with a certain degree of accuracy.• A prognostic nomogram was established in this study in order to aid in assessing prognostic risk and providing more accurate treatment plans for DLBCL cases.

Tamoxifen is a critical drug for the treatment of oestrogen receptor (ER)-positive breast cancer (BC), which represents the majority of BC subtypes. However, many BC tumours that initially respond eventually develop acquired Tamoxifen resistance. Bioinformatics analysis was conducted on genes affected by Tamoxifen and upregulated in Tamoxifen-resistant cells to identify the biological processes associated with Tamoxifen resistance. Metabolomics analysis was conducted to identify the metabolites that were altered in BC with tamoxifen resistance. Resistance to Tamoxifen was evaluated by cell viability, proliferation, invasion, and colony formation in vitro, and by tumour growth in vivo. Metabolomic profiling and the detection of relevant enzymes and metabolites corroborated the metabolic reprogramming towards glycolysis in tamoxifen - resistant BC. The produced lactic acid induced the lactylation of ZMIZ1. This post-translational modification at K843 (but not K537) increased protein stability by suppressing SUMOylation and ubiquitination. The elevated total level of ZMIZ1 increased the enrichment of ZMIZ1 binding to Nanog, resulting in increased transcriptional activity of Nanog, including in OCT4 and NPC2 genes. Therefore, it leads to increased stemness and cholesterol accumulation in Tamoxifen-resistant BC. Knockdown of ZMIZ1 impaired Tamoxifen resistance, but this effect was reversed by Nanog overexpression. In summary, this study identified an important mechanism underlying Tamoxifen resistance and revealed a potential association of glucose glycolysis with cholesterol metabolism through the ZMIZ1/Nanog/NPC2 axis.

Background: The role of TLR9 expressed by tumor cells in evading immune surveillance was confirmed. PD-L1 expression in tumor cells plays a key role in tumor immune escape, which is associated with poor prognosis. However, the clinical relevance of TLR9 and PD-L1 expression in angioimmunoblastic T-cell lymphoma (AITL) has not been evaluated.

Peripheral T‐cell lymphoma (PTCL) is a highly aggressive type of non‐Hodgkin's lymphoma with a poor prognosis. Pyroptosis is a newly discovered procedural cell death mode, which has been implicated to occur in both tumor cells and immune cells. However, the occurrence and effect of pyroptosis on PTCL remain unclear. Here, we found that pyroptosis occurred in interstitial macrophages of PTCL rather than in tumor cells. In clinical specimens, macrophage pyroptosis was associated with a poor prognosis of PTCL. In vitro experiments and gene sequencing results showed that pyroptotic macrophages could upregulate the expression of TLR4 through secreting inflammatory cytokines IL‐18. Upregulated TLR4 activated its downstream NF‐κB anti‐apoptotic signaling pathway, thus leading to malignant proliferation and chemotherapy resistance of tumor cells. Moreover, the expression of factors such as XIAP in the NF‐κB anti‐apoptotic pathway was downregulated after the knockdown of TLR4, and the malignant promotion effect of pyroptotic macrophages on PTCL cells was also reversed. Our findings revealed the mechanism of pyroptotic macrophages promoting the malignant biological behavior of PTCL and elucidated the key role of TLR4 in this process. In‐depth analysis of this mechanism will contribute to understanding the regulatory effect of PTCL by the tumor microenvironment and providing new ideas for the clinical treatment of PTCL.

In clinical practice, the risk factors for pegylated liposomal doxorubicin-related hand-foot syndrome remain unclear. The purpose of this study was to determine the risk factors associated with hand-foot syndrome in patients with lymphoma using pegylated liposomal doxorubicin. This retrospective descriptive analysis included patients with lymphoma who received PLD treatment (≥ 2 cycles of chemotherapy) at our cancer centre and had complete follow-up data from January 2016 to February 2020. Clinical, laboratory data, as well as the occurrence of hand-foot syndrome (incidence, location, severity, impact on follow-up chemotherapy) were obtained. The primary end point was the incidence of hand-foot syndrome, which was classified according to the “Common Terminology Criteria for Adverse Events” (Version 4.0). A multivariate logistic regression analysis was used to identify risk factors for hand-foot syndrome in patients with lymphoma using doxorubicin liposomes. A total of 167 patients met the inclusion criteria. 58 developed HFS, of which 45 occurred after the second course of chemotherapy. The multivariate logistic regression analysis revealed that a dose increase of pegylated liposomal doxorubicin and hepatobiliary dysfunction were significantly associated with an increased risk for hand-foot syndrome(dose intensity, OR = 6.479; 95% CI, 1.431–29.331 [P = 0.015]; history of gallstones, OR = 14.144, 95% CI, 1.512–132.346 [P = 0.020]; alanine aminotransferase, OR = 1.194, 95% CI, 1.056–1.350 [P = 0.005]; aspartate aminotransferase, OR = 1.162, 95% CI, 1.010–1.336 [P = 0.035]; and glutamine transpeptidase, OR = 1.092, 95% CI, 1.016–1.174 [P = 0.018]). These findings contribute to the risk assessment of patients with lymphoma before using pegylated liposomal doxorubicin. For patients with the above risk factors, preventive measures should be taken in advance to reduce the incidence of HFS.