Effectiveness and safety of anlotinib plus anti-programmed cell death 1/ligand 1 (anti-PD-1/PD-L1) antibodies as maintenance therapy after first-line chemotherapy combined with anti-PD-1/PD-L1 antibodies in extensive-stage small cell lung cancer: a real-world study.

Background: Currently, chemotherapy plus immunotherapy followed by maintenance therapy with immune monotherapy is the preferred first-line treatment option for extensive-stage small cell lung cancer (ES-SCLC), but with limited overall survival (OS) and progression-free survival (PFS) benefits. The combination of anti-angiogenic drugs with immunotherapy has shown encouraging anti-tumor activity and tolerability, with some degree of overcoming immune resistance. This study aimed to evaluate the effectiveness and safety of anlotinib plus anti-programmed cell death 1/ligand 1 (anti-PD-1/PD-L1) antibodies as maintenance therapy after first-line chemotherapy combined with immunotherapy in ES-SCLC. Methods: Between June 2020 and December 2021, 12 patients with newly diagnosed ES-SCLC in the First Affiliated Hospital of Army Medical University were retrospectively analyzed. All patients without disease progression after 4-6 cycles of first-line platinum-containing chemotherapy plus anti-PD-1/PD-L1 antibodies received anlotinib (12 mg oral/day, days 1-14, followed by 1 week off, every 3 weeks per cycle) plus anti-PD-1/PD-L1 antibodies as maintenance therapy. Several patients underwent chest radiotherapy (intensity-modulated radiotherapy using a 6 MV X-ray) without disease progression before maintenance therapy. The effectiveness and safety of anlotinib plus anti-PD-1/PD-L1 antibodies as maintenance therapy after first-line chemotherapy combined with immunotherapy in ES-SCLC were evaluated. Results: The median follow-up time was 31.1 months. During first-line treatment (including maintenance therapy), one patient achieved a complete response, eight patients achieved a partial response (PR), and three patients had stable disease, with an objective response rate of 75.0% and a disease control rate of 100.0%. During maintenance therapy with anlotinib plus anti-PD-1/PD-L1 antibodies, 50.0% of patients achieved further lesion remission on the basis of the prior initial treatment, of which one patient achieved a PR. The median PFS was 13.6 [95% confidence interval (CI): 11.2-15.6] months, and the median OS was 19.5 (95% CI: 14.5-24.5) months. Treatment-related any grade and grade 3-4 adverse events (AEs) were reported in 100.0% and 58.3% of patients, respectively. No life-threatening AEs were observed. Grade 3-4 AEs included leukocytopenia (58.3%, 7/12), thrombocytopenia (33.3%, 4/12), nausea (33.3%, 4/12), anemia (16.7%, 2/12), and fatigue (8.3%, 1/12). All AEs during maintenance therapy were tolerated and were regarded as grade 1-2, with the majority being fatigue, nausea, rash, and hemoptysis. Conclusions: The combination of anlotinib with anti-PD-1/PD-L1 antibodies demonstrated encouraging effectiveness and safety in treating patients with ES-SCLC, suggesting that it may be a preferred option for maintenance therapy after first-line chemotherapy combined with immunotherapy.

Programmed cell death in Helicobacter pylori infection and related gastric cancer.

Programmed cell death (PCD) plays a crucial role in maintaining the normal structure and function of the digestive tract in the body. Infection with Helicobacter pylori (H. pylori) is an important factor leading to gastric damage, promoting the Correa cascade and accelerating the transition from gastritis to gastric cancer. Recent research has shown that several PCD signaling pathways are abnormally activated during H. pylori infection, and the dysfunction of PCD is thought to contribute to the development of gastric cancer and interfere with treatment. With the deepening of studies on H. pylori infection in terms of PCD, exploring the interaction mechanisms between H. pylori and the body in different PCD pathways may become an important research direction for the future treatment of H. pylori infection and H. pylori-related gastric cancer. In addition, biologically active compounds that can inhibit or induce PCD may serve as key elements for the treatment of this disease. In this review, we briefly describe the process of PCD, discuss the interaction between different PCD signaling pathways and the mechanisms of H. pylori infection or H. pylori-related gastric cancer, and summarize the active molecules that may play a therapeutic role in each PCD pathway during this process, with the expectation of providing a more comprehensive understanding of the role of PCD in H. pylori infection.

Gemcitabine, capecitabine, and tislelizumab in recurrent/metastatic nasopharyngeal carcinoma following prior anti-PD-1 therapy failure: A retrospective study.

PURPOSE: To evaluate the effectiveness and safety of low-dose gemcitabine and metronomic capecitabine in combination with tislelizumab for patients with recurrent or metastatic nasopharyngeal carcinoma (RM-NPC) who have previously received other anti-PD-1 therapies. METHODS: This retrospective, observational study included patients with RM-NPC who had prior treatment with anti-PD-1 therapy and subsequently received tislelizumab along with low-dose gemcitabine and metronomic capecitabine between March 2019 and August 2023. Progression-free survival (PFS) was estimated using the Kaplan-Meier method. RESULTS: Among 25 eligible patients, 8 (20%) achieved a complete response (CR). The objective response rate (ORR) was 68%, and the disease control rate (DCR) was 80%. The 1-year PFS rate was 78%. All patients experienced treatment-related adverse events, which were all grade 1 or 2. CONCLUSION: The combination of tislelizumab with low-dose gemcitabine and metronomic capecitabine demonstrated promising antitumor effectiveness in RM-NPC patients who had failed previous anti-PD-1 therapy, with a manageable safety profile.

Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach.

Background: Endometriosis (EM) is a prevalent gynecological disorder frequently associated with irregular menstruation and infertility. Programmed cell death (PCD) is pivotal in the pathophysiological mechanisms underlying EM. Despite this, the precise pathogenesis of EM remains poorly understood, leading to diagnostic delays. Consequently, identifying biomarkers associated with PCD is critical for advancing the diagnosis and treatment of EM. Methods: This study used datasets from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) following preprocessing. By cross-referencing these DEGs with genes associated with PCD, differentially expressed PCD-related genes (DPGs) were identified. Enrichment analyses for KEGG and GO pathways were conducted on these DPGs. Additionally, Mendelian randomization and machine learning techniques were applied to identify biomarkers strongly associated with EM. Results: The study identified three pivotal biomarkers: TNFSF12, AP3M1, and PDK2, and established a diagnostic model for EM based on these genes. The results revealed a marked upregulation of TNFSF12 and PDK2 in EM samples, coupled with a significant downregulation of AP3M1. Single-cell analysis further underscored the potential of TNFSF12, AP3M1, and PDK2 as biomarkers for EM. Additionally, molecular docking studies demonstrated that these genes exhibit significant binding affinities with drugs currently utilized in clinical practice. Conclusion: This study systematically elucidated the molecular characteristics of PCD in EM and identified TNFSF12, AP3M1, and PDK2 as key biomarkers. These findings provide new directions for the early diagnosis and personalized treatment of EM.

Construction of a nomogram with IrAE and clinic character to predict the survival of advanced G/GEJ adenocarcinoma patients undergoing anti-PD-1 treatment.

Objective: This study aimed to develop and validate a survival prediction model and nomogram to predict survival in patients with advanced gastric or gastroesophageal junction (G/GEJ) adenocarcinoma undergoing treatment with anti-programmed cell death 1 receptor (PD-1). This model incorporates immune-related adverse events (irAEs) alongside common clinical characteristics as predictive factors. Method: A dataset comprising 255 adult patients diagnosed with advanced G/GEJ adenocarcinoma was assembled. The irAEs affecting overall survival (OS) to a significant degree were identified and integrated as a candidate variable, together with 12 other candidate variables. These included gender, age, Eastern cooperative oncology group performance status (ECOG PS) score, tumor stage, human epidermal growth factor receptor 2 (HER2) expression status, presence of peritoneal and liver metastases, year and line of anti-PD-1 treatment, neutrophil-to-lymphocyte ratio (NLR), controlling nutritional status (CONUT) score, and Charlson comorbidity index (CCI). To mitigate timing bias related to irAEs, landmark analysis was employed. Variable selection was performed using the least absolute shrinkage and selection operator (LASSO) regression to pinpoint significant predictors, and the variance inflation factor was applied to address multicollinearity. Subsequently, a Cox regression analysis utilizing the forward likelihood ratio method was conducted to develop a survival prediction model, excluding variables that failed to satisfy the proportional hazards (PH) assumption. The model was developed using the entire dataset, then internally validated through bootstrap resampling and externally validated with a cohort from another Hospital. Furthermore, a nomogram was created to delineate the predictive model. Results: After consolidating irAEs from the skin and endocrine systems into a single protective irAE category and applying landmark analysis, variable selection was conducted for the prognostic prediction model along with other candidate variables. The finalized model comprised seven variables: ECOG PS score, tumor stage, HER2 expression status in tumor tissue, first-line anti-PD-1 treatment, peritoneal metastasis, CONUT score, and protective irAE. The overall concordance index for the model was 0.66. Calibration analysis verified the model's accuracy in aligning predicted outcomes with actual results. Clinical decision curve analysis indicated that utilizing this model for treatment decisions could enhance the net benefit regarding 1- and 2-year survival rates for patients. Conclusion: This study developed a prognostic prediction model by integrating common clinical characteristics of irAEs and G/GEJ adenocarcinoma. This model exhibits good clinical practicality and possesses accurate predictive ability for overall survival OS in patients with advanced G/GEJ adenocarcinoma.

Synthesis and Biological Evaluation of Cyanoacrylamides and 5-Iminopyrrol-2-Ones Against Naegleria fowleri.

Primary amoebic meningoencephalitis is caused by the free-living amoeba Naegleria fowleri. The lack of standardized treatment has significantly contributed to the high fatality rates observed in reported cases. Therefore, this study aims to explore the anti-Naegleria activity of eight synthesized cyanoacrylamides and 5-iminopyrrol-2-ones. Notably, QOET-109, QOET-111, QOET-112, and QOET-114 exhibited a higher selectivity index against Naegleria compared to those of the rest of the compounds. Subsequently, these chemicals were assessed against the resistant stage of N. fowleri, demonstrating activity similar to that observed in the vegetative stage. Moreover, characteristic events of programmed cell death were evidenced, including chromatin condensation, increased plasma membrane permeability, mitochondrial damage, and heightened oxidative stress, among others. Finally, this research demonstrated the in vitro activity of the cyanoacrylamide and 5-iminopyrrol-2-one molecules, as well as the induction of metabolic event characteristics of regulated cell death in Naegleria fowleri.

Predicting prognosis and drug sensitivity in bladder cancer: an insight into Pan-programmed cell death patterns regulated by M6A modifications.

The team aimed to explore the possible functional significance of M6A regulation in Pan-programmed cell death (PCD) among patients with bladder cancer (BLCA). In BLCA patients, the analysis was conducted on the13 patterns of programmed cell death (PCD) and the regulation of M6A. Transcriptome, genomics, and clinical data were collected from TCGA-BLCA, GEO32548, and IMvigor210. Consensus clustering analysis, functional enrichment analysis, and other prognostic tools were used to validate the Pan-PCD. Finally, in vitro experiments and transcription sequencing were performed to understand the potential influence of the PI3K pathway on Pan-PCD in BLCA patients. Diverse PCD patterns were simultaneously activated, and M6A regulators exhibited significant variability in bladder malignant tissues. The machine learning algorithm established an 8-gene M6A-related Pan-PCD signature. This signature was validated in three independent datasets, and BLCA patients with higher risk scores had worse prognosis. An unsupervised clustering approach identified activated and suppressed Pan-PCD subgroups of BLCA patients, with distinct responses to immunotherapy and drug sensitivity. In addition, the PI3K pathway was identified as a key mechanism for various forms of programmed cell death, encompassing apoptosis, pyroptosis, autophagy, and cell death dependent on lysosomes. This research revealed that the Pan-PCD model was a more promising approach for BLCA patients under M6A regulation. A new signature from M6A-related Pan-PCD was proposed, with prognostic value for survival or drug sensitivity. The PI3K pathway was a key mechanism for multiple PCDs in BLCA patients.

Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinoma.

We examined the association between texture features using three-dimensional (3D) io-dine density histogram on delayed phase of dual-energy CT (DECT) and expression of programmed death-ligand 1 (PD-L1) using immunostaining methods in non-small cell lung cancer. Consecutive 37 patients were scanned by DECT. Unenhanced and enhanced (3 min delay) images were obtained. 3D texture analysis was performed for each nodule to obtain 7 features (max, min, median, mean, standard deviation, skewness, and kurtosis) from iodine density mapping and extracellular volume (ECV). A pathologist evaluated a tumor proportion score (TPS, %) using PD-L1 immunostaining: PD-L1 high (TPS ≥ 50%) and low or negative expression (TPS < 50%). Associations between PD-L1 expression and each 8 parameter were evaluated using logistic regression analysis. The multivariate logistic regression analysis revealed that skewness and ECV were independent indicators associated with high PD-L1 expression (skewness: odds ratio [OR] 7.1 [95% CI 1.1, 45.6], p = 0.039; ECV: OR 6.6 [95% CI 1.1, 38.4], p = 0.037). In the receiver-operating characteristic analysis, the area under the curve of the combination of skewness and ECV was 0.83 (95% CI 0.67, 0.93) with sensitivity of 64% and specificity of 96%. Skewness from 3D iodine density histogram and ECV on dual energy CT were significant factors for predicting PD-L1 expression.

Gene signature developed based on programmed cell death to predict the therapeutic response and prognosis for liver hepatocellular carcinoma.

Background: The prognosis and therapeutic response of patients with liver hepatocellular carcinoma (LIHC) can be predicted based on programmed cell death (PCD) as PCD plays a crucial role during tumor progression. We developed a PCD-related gene signature to evaluate the therapeutic response and prognosis for patients with LIHC. Methods: Molecular subtypes of LIHC were classified using ConsensusClusterPlus according to the gene biomarkers related to PCD. To predict the prognosis of high- and low-risk LIHC patients, a risk model was established by LASSO regression analysis based on the prognostic genes. Functional enrichment analysis was conducted using clusterProfiler package, and relative abundance of immune cells was quantified applying CIBERSORT package. Finally, to determine drug sensitivity, oncoPredict package was employed. Results: PCD was correlated with the clinicopathologic features of LIHC. Then, we defined four molecular subtypes (C1-C4) of LIHC using PCD-related prognostic genes. Specifically, subtype C1 had the worst prognosis with enriched T cells regulatory (Tregs) and Macrophage_M0 and higher expression of T cell exhaustion markers, meanwhile, C1 also had a relatively higher TIDE score and metastasis potential. A risk model was established using 5 prognostic genes. High-risk patients tended to have higher expression of T cell exhaustion markers and TIDE score and unfavorable outcomes, and they were more sensitive to small molecule drug 5.Fluorouracil. Conclusion: A PCD-related gene signature was developed and verified to be able to accurately predict the prognosis and drug sensitivity of LIHC patients.

Identification and experimental validation of programmed cell death- and mitochondria-associated biomarkers in osteoporosis and immune microenvironment.

Background: Prior research has demonstrated that programmed cell death (PCD) and mitochondria assume pivotal roles in controlling cellular metabolism and maintaining bone cell equilibrium. Nonetheless, the comprehensive elucidation of their mode of operation in osteoporosis (OP) warrants further investigation. Therefore, this study aimed at analyzing the role of genes associated with PCD (PCD-RGs) and mitochondria (mortality factor-related genes; MRGs) in OP. Methods: Differentially expressed genes (DEGs) were identified by subjecting the GSE56815 dataset obtained from the Gene Expression Omnibus database to differential expression analysis and comparing OP patients with healthy individuals. The genes of interest were ascertained through the intersection of DEGs, MRGs, and PCD-RGs; these genes were filtered using machine learning methodologies to discover potential biomarkers. The prospective biomarkers displaying uniform patterns and statistically meaningful variances were identified by evaluating their levels in the GSE56815 dataset and conducting quantitative real-time polymerase chain reaction-based assessments. Moreover, the functional mechanisms of these biomarkers were further delineated by constructing a nomogram, which conducted gene set enrichment analysis, explored immune infiltration, generated regulatory networks, predicted drug responses, and performed molecular docking analyses. Results: Eighteen candidate genes were documented contingent upon the intersection between 2,354 DEGs, 1,136 MRGs, and 1,548 PCD-RGs. The biomarkers DAP3, BIK, and ACAA2 were upregulated in OP and were linked to oxidative phosphorylation. Furthermore, the predictive ability of the nomogram designed based on the OP biomarkers exhibited a certain degree of accuracy. Correlation analysis revealed a strong positive correlation between CD56dim natural killer cells and ACAA2 and a significant negative correlation between central memory CD4+ T cells and DAP3. DAP3, BIK, and ACAA2 were regulated by multiple factors; specifically, SETDB1 and ZNF281 modulated ACAA2 and DAP3, whereas TP63 and TFAP2C governed DAP3 and BIK. Additionally, a stable binding force was observed between the drugs (estradiol, valproic acid, and CGP52608) and the biomarkers. Conclusion: This investigation evidenced that the biomarkers DAP3, BIK, and ACAA2 are associated with PCD and mitochondria in OP, potentially facilitate the diagnosis of OP in clinical settings.

Detection and Quantification of Programmed Cell Death in Chlamydomonas reinhardtii: The Example of S-Nitrosoglutathione.

Chlamydomonas (Chlamydomonas reinhardtii) is a unicellular model alga that has been shown to undergo programmed cell death (PCD) that can be triggered in response to different stresses. We have recently shown that Chlamydomonas is particularly well suited to the study and quantification of PCD. We have shown for the first time that S-nitrosoglutathione (GSNO), a nitric oxide (NO) donor, is able to induce PCD and can be used as a study system in Chlamydomonas. In this article, we provide a simple and robust protocol for quantifying GSNO-induced PCD, which can be adapted to any other treatment. We explain how to detect NO production in the cell following GSNO treatment. We show how PCD can be identified simply by analyzing the degradation profile of genomic DNA. We also provide an easy and reproducible cell death quantification protocol, which makes it possible to follow the course of PCD over time and highlight very fine differences in the number of affected cells between different samples. Key features • Use of S-nitrosoglutathione (GSNO) as a means to study programmed cell death (PCD) in Chlamydomonas. • Discrimination of PCD vs. necrosis. • In vivo determination of NO production in the cell. • A simple, robust protocol for PCD quantification.

Clinical Effectiveness and Safety of Transarterial Chemoembolization: Hepatic Artery Infusion Chemotherapy Plus Tyrosine Kinase Inhibitors With or Without Programmed Cell Death Protein-1 Inhibitors for Unresectable Hepatocellular Carcinoma-A Retrospective Study.

BACKGROUND: Locoregional treatment with transarterial chemoembolization (TACE) or hepatic artery infusion chemotherapy (HAIC) and systemic targeted immunotherapy with tyrosine kinase inhibitors (TKI) and programmed cell death protein-1 (PD-1) inhibitors in the treatment of unresectable hepatocellular carcinoma (uHCC) have achieved promising efficacy. The retrospective study aimed to evaluate the efficacy and safety of TACE and HAIC plus TKI with or without PD-1 for uHCC. PATIENTS AND METHODS: From November 2020 to February 2024, the data of 44 patients who received TACE-HAIC + TKI + PD-1 (THKP group) and 34 patients who received TACE-HAIC + TKI (THK group) were retrospectively analyzed. Primary outcomes were overall survival (OS) and progress-free survival (PFS), and secondary outcomes were objective response rate (ORR), disease control rate (DCR), conversion rates, and adverse events (AEs). RESULTS: A total of 78 patients were recruited in our single-center study. The patients in THKP group had prolonged median OS [25 months, 95% confidence interval (CI) 24.0-26.0 vs 18 months, 95% CI 16.1-19.9; p = 0.000278], median PFS [16 months, 95% CI 14.1-17.9 vs 12 months 95% CI 9.6-14.4; p = 0.004] and higher ORR (38.6% vs 23.5%, p = 0. 156) and DCR (88.6% vs 64.7%, p = 0.011) compared with those in THK group. Multivariate analysis showed that treatment option and alpha-fetoprotein (AFP) level were independent prognostic factors of OS and PFS. The frequency of AEs were similar between the two groups. CONCLUSIONS: The THKP group had better efficacy for uHCC than the THK group, with acceptable safety.

Histone deacetylase inhibitor and PD­1 blockade synergistically inhibit B­cell lymphoma progression in mice model by promoting T­cell infiltration and apoptosis.

B­cell lymphoma is difficult to cure because of its biological and clinical heterogeneity, and due to native chemoresistance. Immunotherapies that overcome cancer­induced immune evasion have been the center of recent developments in oncology. This is emphasized by the accomplishment of various agents that disrupt programmed cell death protein 1 (PD­1)­mediated immune suppression in diverse tumors. However, while PD­1 blockade has been effective in numerous malignancies, a significant proportion of cancers, including B­cell lymphoma, show certain rates of primary resistance to these therapeutic strategies. Histone deacetylase inhibitors (HDACis) have exhibited anticancer activity though suppressing cell proliferation, inducing differentiation and triggering apoptosis. The present study aimed to explore a therapeutic strategy combining a HDACi (romidepsin) and PD­1 blockade (BMS­1) in B­cell lymphoma, utilizing a constructed mouse model of B­cell lymphoma. The IC50 of the two inhibitors was confirmed by MTT assay, and their inhibitory effects were revealed to be dose­ and time­dependent. The data demonstrated that the combined treatment of romidepsin and BMS­1 synergistically inhibited the growth of B­cell lymphoma. Furthermore, it was revealed that romidepsin and BMS­1 synergistically triggered apoptosis in mouse B­cell lymphoma. The synergistic effect of these agents was capable of activating tumor­infiltrating lymphocytes, particularly CD3+CD4+ and CD3+CD8+ T cells. The results of the present study underscore the potential of HDAC inhibition in conjunction with PD­1 blockade as a novel therapeutic approach for B­cell lymphoma, highlighting the synergistic effects of these two mechanisms in enhancing antitumor immunity.

New perspective for pathomechanism and clinical applications of animal toxins: Programmed cell death.

Various animal toxins pose a significant threat to human safety, necessitating urgent attention to their treatment and research. The clinical potential of programmed cell death (PCD) is widely regarded as a target for envenomation, given its crucial role in regulating physiological and pathophysiological processes. Current research on animal toxins examines their specific components in pathomechanisms and injuries, as well as their clinical applications. This review explores the relationship between various toxins and several types of PCD, such as apoptosis, necroptosis, autophagy, ferroptosis, and pyroptosis, to provide a reference for future understanding of the pathophysiology of toxins and the development of their potential clinical value.

Impact of Type of Lenvatinib Resistance on Prognosis and Second-Line Regimen in Patients with Virus-Associated HCC.

Background: Lenvatinib is the first-line treatment option for patients with advanced hepatocellular carcinoma (HCC); however, the impact of lenvatinib resistance on patient prognosis is unknown. Methods: We recruited all patients with advanced HCC who received first-line lenvatinib treatment between February 2019 and February 2023 at two medical centers in China, according to the selection criteria. The patients were divided into primary and secondary resistance groups based on tumor progression within 3 months. The Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS). Logistic regression and Cox proportional hazards models were used to explore factors influencing drug resistance and prognosis. The study end points were drug resistance, PFS, and OS. Results: A total of 531 patients met the study criteria, with 169 (31.8%) and 362 (68.2%) patients in the primary and secondary groups, respectively. An alpha-fetoprotein (AFP) concentration > 400 ng/mL was an independent risk factor for primary drug resistance. Patients in the primary group had a significantly shorter median OS (11.0 vs 31.0 months, P<0.001) than those in the secondary group. The 1-, 2- and 3-year cumulative survival rates in the primary group were 46.3%, 22.2%, and 10.1%, while those in the secondary group were 82.3%, 59.1% and 44.9%, respectively. Compared to tyrosine kinase inhibitor (TKI) monotherapy, longer median PFS (4.0 vs 7.0 months, P=0.008) and OS (11.0 vs 23.0 months, P=0.024) were achieved with the combination of a TKI plus a PD-1 inhibitor as a second-line therapy after lenvatinib resistance. Conclusion: There is a high rate of primary resistance to lenvatinib in patients with HCC and the prognosis for those with primary resistance is poor. TKI combined with PD-1 inhibitors should be preferentially recommended for lenvatinib-resistant patients.

Efficacy and safety of PD-1/L1 inhibitors as first-line therapy for metastatic colorectal cancer: a meta-analysis.

Objective: To evaluate the efficacy and safety of PD-1/L1 inhibitors as first-line therapy in metastatic colorectal cancer(mCRC). Method: Articles evaluating first-line PD-1/L1 inhibitors for mCRC were sought in four databases (Pubmed, Embase, Web of Science, and the Cochrane Library) from the inception of the databases until 11 November 2023. Meta-analyses were conducted to assess the rates of progression-free survival (PFS), overall survival (OS), complete response (CR), partial response (PR), stable disease (SD), progressive disease (PD), objective response rate (ORR), disease control rate (DCR), and grade ≥ 3 treatment-related adverse events (trAEs). Results: Totally nine studies were included for meta-analysis. A subgroup analysis was performed based on mismatch repair(MMR) status and regimens. In patients diagnosed with mismatch repair-deficient(dMMR) mCRC who received PD-1/L1 inhibitors as their first-line treatment, the ORR was 0.54 (95% CI, 0.39 to 0.68), the median PFS was 53.2 months, the Grade≥ 3 TRAEs rate was 0.33(95% CI, 0.12 to 0.60) and the median OS was not determined. For patients with proficient mismatch repair (pMMR) mCRC who underwent a combined treatment of PD-1/L1 inhibitors, anti-VEGF monoclonal antibody and chemotherapy as their first-line therapy, the ORR was 0.62 (95% CI, 0.56 to 0.68), the median PFS was 10.1 months, the median OS was 26.7 months, and the Grade≥ 3 TRAEs rate was 0.59(95% CI, 0.39 to 0.77). Conclusion: Our results revealed that the utilization of PD-1/L1 inhibitors as first-line therapy for dMMR mCRC yielded highly favorable outcomes, while maintaining an acceptable level of safety. Administering a combination of PD-1/L1 inhibitors, anti-VEGF monoclonal antibody, and chemotherapy as first-line treatment in patients with pMMR mCRC led to an improved ORR. However, there was no significant improvement in the long-term prognosis of the tumor. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024506196, identifier CRD42024506196.

Misdiagnosis of severe and atypical oxaliplatin­related hypersensitivity reaction following chemotherapy combined with PD­1 inhibitor: A case report and literature review.

Although the efficacy of treatment strategies for cancer have been improving steadily over the past decade, the adverse event profile following such treatments has also become increasingly complex. The present report described the case of a 67-year-old male patient with gastric stump carcinoma with liver invasion. The patient was treated with oxaliplatin and capecitabine (CAPEOX regimen) chemotherapy, combined with the programmed cell death protein-1 (PD-1) inhibitor tislelizumab. Following treatment, the patient suffered from chills, high fever and facial flushing, followed by shock. Relevant examination results revealed severe multiple organ damage, as well as a significant elevation in IL-6 and procalcitonin (PCT) levels. Initially, the patient was diagnosed with either immune-related adverse events (irAEs) associated with cytokine release syndrome caused by tislelizumab or severe bacterial infection. However, when tislelizumab treatment was stopped and the CAPEOX chemotherapy regimen was reapplied, similar symptoms recurred. Following screening, it was finally determined that severe hypersensitivity reaction (HSR) caused by oxaliplatin was the cause underlying these symptoms. A literature review was then performed, which found that severe oxaliplatin-related HSR is rare, rendering the present case atypical. The present case exhibited no common HSR symptoms, such as cutaneous and respiratory symptoms. However, the patient suffered from serious multiple organ damage, which was misdiagnosed as irAE when oxaliplatin chemotherapy combined with the PD-1 inhibitor was administered. In addition, this apparent severe oxaliplatin-related HSR caused a significant increase in PCT levels, which was misdiagnosed as severe bacterial infection and prevented the use of glucocorticoids. This, in turn, aggravated the damage in this patient.

The impact of sarcopenia on the efficacy of PD-1 inhibitors in non-small cell lung cancer and potential strategies to overcome resistance.

Recent studies have revealed that sarcopenia can adversely affect the efficacy of PD-1 inhibitors in the treatment of non-small cell lung cancer (NSCLC). PD-1 inhibitors are immune checkpoint inhibitors widely used in the treatment of various cancers. However, NSCLC patients may have poorer outcomes when receiving PD-1 inhibitor treatment, and sarcopenia may affect the efficacy of PD-1 inhibitors through immune and metabolic mechanisms. In this article, we summarize the reported negative impact of sarcopenia on the effectiveness of PD-1 inhibitors in the treatment of NSCLC in recent years. Based on existing research results, we analyze the possible mechanisms by which sarcopenia affects the efficacy of PD-1 inhibitors and discuss possible strategies to address this issue. This could help to understand the impact of sarcopenia on the treatment of PD-1 inhibitors and provide more accurate expectations of treatment outcomes for clinicians and patients. Additionally, we present tailored intervention strategies for sarcopenic patients undergoing PD-1 inhibitor therapy, aiming to optimize treatment efficacy and enhance patient quality of life. Nevertheless, further research is warranted to elucidate the mechanisms through which sarcopenia impacts PD-1 inhibitors and to identify more efficacious intervention approaches for improving the effectiveness of PD-1 inhibitor treatment in sarcopenic patients.

Comprehensive Glycomic and Glycoproteomic Analyses of Human Programmed Cell Death Protein 1 Extracellular Domain.

Human programmed cell death protein 1 (hPD-1) is an essential receptor in the immune checkpoint pathway. It has played an important role in cancer therapy. However, not all patients respond positively to the PD-1 antibody treatment, and the underlying mechanism remains unknown. PD-1 is a transmembrane glycoprotein, and its extracellular domain (ECD) is reported to be responsible for interactions and signal transduction. This domain contains 4 N-glycosylation sites and 25 potential O-glycosylation sites, which implicates the importance of glycosylation. The structure of hPD-1 has been intensively studied, but the glycosylation of this protein, especially the glycan on each glycosylation site, has not been comprehensively illustrated. In this study, hPD-1 ECD expressed by human embryonic kidney 293 (HEK 293) and Chinese hamster ovary (CHO) cells was analyzed; not only N- and O-glycosylation sites but also the glycans on these sites were comprehensively analyzed using mass spectrometry. In addition, hPD-1 ECD binding to different anti-hPD-1 antibodies was tested, and N-glycans were found functioned differently. All of this glycan information will be beneficial for future PD-1 studies.