Enhanced platelet function through CAR-T cell therapy in relapsed/refractory multiple myeloma.

The influence of chimeric antigen receptor T (CAR-T) cell therapy on platelet function in relapsed/refractory (R/R) multiple myeloma (MM) has not been thoroughly investigated. Our cohort comprised fifty MM patients treated with CAR-T cells. The mean platelet closure time (PCT) induced by collagen/adenosine diphosphate (CADP) in peripheral blood was significantly prolonged before lymphodepletion (195.24 ± 11.740 s) and notably reduced post-CAR-T cell therapy (128.02 ± 5.60 s), with a statistically significant improvement (67.22, 95% CI 46.91-87.53, P < 0.001). This post-treatment PCT was not significantly different from that of healthy controls (10.64, 95% CI 1.11-22.40, P > 0.05). Furthermore, a pronounced enhancement in PCT was observed in patients with a response greater than partial remission (PR) following CAR-T cell infusion compared to pre-treatment values (P < 0.001). An extended PCT was also associated with a less favorable remission status. In patients with cytokine release syndrome (CRS) grades 0-2, those with a PCT over 240.5 s exhibited a shorter progression-free survival (PFS), with median PFS times of 10.2 months for the PCT > 240.5 s group versus 22.0 months for the PCT ≤ 240.5 s group. Multivariate analysis revealed that a PCT value exceeding 240.5 s is an independent prognostic factor for overall survival (OS) in R/R MM patients after CAR-T cell therapy. The study demonstrates that CAR-T cell therapy enhances platelet function in R/R MM patients, and PCT emerges as a potential prognostic biomarker for the efficacy of CAR-T cell therapy.

Polymorphisms in miRNA Genes Targeting the AMPK Signaling Pathway are Associated with Cervical Cancer Susceptibility in a Han Chinese Population.

Purpose: Cervical cancer (CC) poses a significant threat to women's health worldwide, and multiple signaling pathways have been confirmed to be involved in its development. The AMPK signaling pathway plays a central role in maintaining energy homeostasis, and its dysregulation is closely associated with the occurrence of CC. Changes in microRNA (miRNA) expression levels might be related to the AMPK signaling pathway. Single nucleotide polymorphisms (SNPs) can affect the function of miRNA and result in the development of CC. To investigate the association between the SNPs of AMPK pathway-associated miRNAs and CC in a Han Chinese population, we selected eight miRNA genes located in the AMPK pathway and analyzed nine SNP loci within these genes to explore whether they are associated with genetic susceptibility to cervical intraepithelial neoplasia (CIN) and CC. Methods: A total of 2,220 subjects were included in this study, including 928 healthy controls, 421 CIN patients, and 871 CC patients. Nine candidate SNPs (rs895819 in miR-27a, rs10061133 in miR-449b, rs41291179 in miR-216a, rs76481776 in miR-182, rs10406069 in miR-5196, rs12803915 and rs550894 in miR-612, rs66683138 in miR-3622b, and rs2620381 in miR-627) were genotyped using the TaqMan method. Results: The results showed significant differences in the allele distribution of rs41291179 and rs12803915 between the control group and the CIN group, as well as between the control group and the CC group (all P values < 0.005). The A allele of rs41291179 and the G allele of rs12803915 were associated with decreased risk of CIN (OR = 0.05, 95% CI: 0.01-0.39; OR = 0.61, 95% CI: 0.49-0.76) and CC (OR = 0.08, 95% CI: 0.01-0.66; OR = 0.71, 95% CI: 0.59-0.86), respectively. Conclusion: Our results suggest that polymorphisms in miRNA genes of the AMPK signaling pathway are associated with the development of CC.

Cleft lip and palate transmembrane protein 1-like is a putative regulator of tumorigenesis and sensitization of cervical cancer cells to cisplatin.

Background: Cervical cancer stands as one of the leading causes of cancer-related mortality in women worldwide, yet the precise functions of host genes implicated in its pathogenesis remain elusive. Genome-wide association studies (GWAS) have revealed a significant association between the CLPTM1L locus and cervical cancer risk in European women, and aberrant expression of CLPTM1L has been noted in various malignant tumors. However, the role of CLPTM1L in cervical cancer remains largely unexplored. Methods: The expression of CLPTM1L in cervical cancer cells and tissues was detected by RT-qPCR. Furthermore, the potential biological functions of CLPTM1L in the context of cervical cancer were explored via RNA sequencing. Cell proliferation rates and the responsiveness of cervical cancer cells to cisplatin were evaluated using the CCK-8 assay, while cell apoptosis was quantified through the utilization of flow cytometry. Nude mouse xenograft models were utilized to explore the impact of CLPTM1L on tumor formation in vivo. Results: Our findings demonstrated a significant increase in CLPTM1L mRNA expression levels in HeLa and C33A cells, as well as in cervical carcinoma tissues, compared to ECT1/E6E7 cells and adjacent normal tissues. Genes related to CLPTM1L were found to be enriched in the Hedgehog signaling pathway. In vitro and in vivo studies showed that reducing CLPTM1L expression markedly inhibited cell proliferation via downstream candidate genes BOC and LRP2. Furthermore, the downregulation of CLPTM1L was found to enhance cisplatin-induced cell apoptosis and increase the susceptibility of cervical cancer cells to cisplatin through DAP1. Conclusions: CLPTM1L could impact cervical cancer cell proliferation and cisplatin-induced cell apoptosis, as well as cisplatin susceptibility in cervical cancer cells. This investigation has bestowed upon us novel insights into the pathogenesis of cervical cancer, underscoring the potential of CLPTM1L as a promising target for chemotherapeutic sensitization in the management of this malignancy.

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.

The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation tasks. However, SAM's performance significantly declines when applied to medical images, primarily due to the substantial disparity between natural and medical image domains. To effectively adapt SAM to medical images, it is important to incorporate critical third-dimensional information, i.e., volumetric or temporal knowledge, during fine-tuning. Simultaneously, we aim to harness SAM's pre-trained weights within its original 2D backbone to the fullest extent. In this paper, we introduce a modality-agnostic SAM adaptation framework, named as MA-SAM, that is applicable to various volumetric and video medical data. Our method roots in the parameter-efficient fine-tuning strategy to update only a small portion of weight increments while preserving the majority of SAM's pre-trained weights. By injecting a series of 3D adapters into the transformer blocks of the image encoder, our method enables the pre-trained 2D backbone to extract third-dimensional information from input data. We comprehensively evaluate our method on five medical image segmentation tasks, by using 11 public datasets across CT, MRI, and surgical video data. Remarkably, without using any prompt, our method consistently outperforms various state-of-the-art 3D approaches, surpassing nnU-Net by 0.9%, 2.6%, and 9.9% in Dice for CT multi-organ segmentation, MRI prostate segmentation, and surgical scene segmentation respectively. Our model also demonstrates strong generalization, and excels in challenging tumor segmentation when prompts are used. Our code is available at: https://github.com/cchen-cc/MA-SAM.

Clinical outcomes and microenvironment profiling in relapsed/refractory multiple myeloma patients with extramedullary disease receiving anti-BCMA CAR T-cell-based therapy.

Relapsed/refractory multiple myeloma patients with extramedullary disease (EMD) have unfavorable prognosis and lack effective therapy. Chimeric antigen receptor (CAR) T-cell activities in EMD have yet to be determined; how EMD-specific microenvironment influences the clinical outcomes of CAR T-cell therapy remains of great interest. In this prospective cohort study, patients with histologically confirmed extra-osseous EMD were enrolled and treated with combined anti-BCMA and anti-CD19 CAR T-cell therapy from May 2017 to September 2023. Thirty-one patients were included in the study. Overall response occurred in 90.3% of medullary disease and 64.5% of EMD (p = .031). Discrepancies in treatment response were noted between medullary and extramedullary diseases, with EMD exhibiting suboptimal and delayed response, as well as shortened response duration. With a median follow-up of 25.3 months, the median progression-free and overall survival were 5.0 and 9.7 months, respectively. Landmark analysis demonstrated that progression within 6 months post-infusion is strongly associated with an increased risk of death (HR = 4.58; p = .029). Compared with non-EMD patients, patients with EMD showed inferior survival outcomes. Unique CAR-associated local toxicities at EMD were seen in 22.6% patients and correlated with the occurrence and severity of systemic cytokine release syndrome. To the cutoff date, 65% treated patients experienced EMD progression, primarily in the form of BCMA+ progression. The pretherapy EMD immunosuppressive microenvironment, characterized by infiltration of exhausted CD8+ T cells, was associated with inferior clinical outcomes. CAR T cells have therapeutic activity in relapsed/refractory EMD, but the long-term survival benefits may be limited. EMD-specific microenvironment potentially impacts treatment. Further efforts are needed to extend EMD remission and improve long-term outcomes.

A generalist vision-language foundation model for diverse biomedical tasks.

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize holistic information. Generalist AI holds the potential to address these limitations due to its versatility in interpreting different data types and generating tailored outputs for diverse needs. However, existing biomedical generalist AI solutions are typically heavyweight and closed source to researchers, practitioners and patients. Here, we describe BiomedGPT, the first open-source and lightweight vision-language foundation model, designed as a generalist capable of performing various biomedical tasks. BiomedGPT achieved state-of-the-art results in 16 out of 25 experiments while maintaining a computing-friendly model scale. We also conducted human evaluations to assess the capabilities of BiomedGPT in radiology visual question answering, report generation and summarization. BiomedGPT exhibits robust prediction ability with a low error rate of 3.8% in question answering, satisfactory performance with an error rate of 8.3% in writing complex radiology reports, and competitive summarization ability with a nearly equivalent preference score to human experts. Our method demonstrates that effective training with diverse data can lead to more practical biomedical AI for improving diagnosis and workflow efficiency.

Anti-BCMA/GPRC5D bispecific CAR T cells in patients with relapsed or refractory multiple myeloma: a single-arm, single-centre, phase 1 trial.

BACKGROUND: Some challenges still exist with single-target B-cell maturation antigen (BCMA) chimeric antigen receptor (CAR) T-cell therapies due to variable or negative BCMA expression, although they have yielded remarkable efficacy in relapsed or refractory multiple myeloma. We developed anti-BCMA/GPRC5D bispecific CARs to mitigate the limitations and potentiate the functions of CAR T cells. METHODS: This single-arm, phase 1 trial was conducted at the Affiliated Hospital of Xuzhou Medical University (Xuzhou, China). The trial enrolled patients aged 18-75 years with relapsed or refractory multiple myeloma and an Eastern Cooperative Oncology Group performance status of 0-3. Anti-BCMA/GPRC5D bispecific CAR T cells were administered at 0·5 × 106, 1·0 × 106, 2·0 × 106, and 4·0 × 106 CAR T cells per kg in the dose-escalation phase, with additional patients included at the dose selected for the dose-expansion phase. The primary endpoint was safety, which included dose-limiting toxicity and maximum tolerated dose. Activity was also evaluated as a secondary endpoint. The maximum tolerated dose was chosen for the dose-expansion phase. Safety and activity analyses were done in all patients who received anti-BCMA/GPRC5D bispecific CAR T cells as defined in the protocol. This trial is registered with ClinicalTrials.gov (NCT05509530) and is complete. FINDINGS: Between Sept 1, 2022, and Nov 3, 2023, 24 patients were enrolled and underwent apheresis. Three patients were excluded after apheresis (two patients discontinued due to rapid disease progression and one patient was withdrawn because of failed manufacture of CAR T cells), so 21 patients were infused with anti-BCMA/GPRC5D bispecific CAR T cells. Median follow-up was 5·8 months (IQR 5·2-6·7). Median age was 62 years (IQR 56-67). Eight (38%) patients were male, and 13 (62%) female. All patients were Chinese. At the 4·0 × 106 CAR T cells per kg dose, two patients had dose-limiting toxicities, of whom one died of subarachnoid haemorrhage (which was not considered to be related to the study treatment). The maximum tolerated dose was identified as 2·0 × 106 CAR T cells per kg. The most common grade 3 or worse adverse events were haematological toxicities in 19 (90%) patients (except lymphopenia). 15 (71%) patients had cytokine release syndrome, of which all cases were grade 1 or 2. One case of grade 1 immune effector cell-associated neurotoxicity syndrome (ICANS) was observed in a patient who received 4·0 × 106 CAR T cells per kg. No ICANS or grade 3 or worse organ toxicities were observed in patients who received 0·5-2·0 × 106 CAR T cells per kg. The overall response rate was 86% (18 of 21 patients), with 13 (62%) patients having a complete response or better, and 17 (81%) patients having measurable residual disease negativity. Of the 12 patients who received 2·0 × 106 CAR T cells per kg (three in the dose-escalation phase and an addition nine in the dose-expansion phase), the overall response rate was 92% (11 of 12 patients) with nine (75%) patients having a complete response or better. INTERPRETATION: Anti-BCMA/GPRC5D bispecific CAR T cells show a good safety profile and encouraging activity in patients with relapsed or refractory multiple myeloma. FUNDING: National Natural Science Foundation of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Design and evaluation of a multi-epitope DNA vaccine against HPV16.

Cervical cancer, among the deadliest cancers affecting women globally, primarily arises from persistent infection with high-risk human papillomavirus (HPV). To effectively combat persistent infection and prevent the progression of precancerous lesions into malignancy, a therapeutic HPV vaccine is under development. This study utilized an immunoinformatics approach to predict epitopes of cytotoxic T lymphocytes (CTLs) and helper T lymphocytes (HTLs) using the E6 and E7 oncoproteins of the HPV16 strain as target antigens. Subsequently, through meticulous selection of T-cell epitopes and other necessary elements, a multi-epitope vaccine was constructed, exhibiting good immunogenic, physicochemical, and structural characteristics. Furthermore, in silico simulations showed that the vaccine not only interacted well with toll-like receptors (TLR2/TLR3/TLR4), but also induced a strong innate and adaptive immune response characterized by elevated Th1-type cytokines, such as interferon-gamma (IFN-γ) and interleukin-2 (IL2). Additionally, our study investigated the effects of different immunization intervals on immune responses, aiming to optimize a time-efficient immunization program. In animal model experiments, the vaccine exhibited robust immunogenic, therapeutic, and prophylactic effects. Administered thrice, it consistently induced the expansion of specific CD4 and CD8 T cells, resulting in substantial cytokines release and increased proliferation of memory T cell subsets in splenic cells. Overall, our findings support the potential of this multi-epitope vaccine in combating HPV16 infection and signify its candidacy for future HPV vaccine development.

Through the stringent selection of T-cell epitopes and other necessary elements, a novel multi-epitope vaccine targeting HPV 16 E6 and E7 oncoproteins was constructed using an immunoinformatics approach.The vaccine designed can induce both cellular and humoral immune responses, encompassing all the required immunogenic, physicochemical, and structural characteristics for an ideal vaccine design. Moreover, it offers decent worldwide coverage.In animal studies, the vaccine demonstrated strong immune responses, including expansion of CD4 and CD8 T cells, cytokine release, and enhanced memory T cell proliferation, resulting in long-term anti-tumor effects, inhibition of tumor growth, and prolonged survival in tumor-bearing mice.The immunological evaluation of the designed vaccine suggests its potential as a novel vaccine candidate against HPV 16.

Bispecific CAR T cell therapy targeting BCMA and CD19 in relapsed/refractory multiple myeloma: a phase I/II trial.

Despite the high therapeutic response achieved with B-cell maturation antigen (BCMA)-specific chimeric antigen receptor (CAR) T-cell therapy in relapsed and refractory multiple myeloma (R/R MM), primary resistance and relapse exist with single-target immunotherapy. Here, we design bispecific BC19 CAR T cells targeting BCMA/CD19 and evaluate antimyeloma activity in vitro and in vivo. Preclinical results indicate that BC19 CAR specifically recognize target antigens, and BC19 CAR T cells mediate selective killing of BCMA or CD19-positive cancer cells. BC19 CAR T cells also exhibit potent antigen-specific anti-tumor activity in xenograft mouse models. We conduct an open-label, single-arm, phase I/II study of BC19 CAR T cells in 50 patients with R/R MM (ChiCTR2000033567). The primary endpoint was safety. BC19 CAR T cells are well tolerated with grade 3 or higher cytokine release syndrome in 8% of patients and grade 1 neurotoxic events in 4% of patients, which meet the pre-specified primary endpoint. Secondary endpoints include overall response rate (92%), median progression-free survival (19.7 months), median overall survival (19.7 months) and median duration of response (not reached). Our study demonstrates that bispecific BC19 CAR T cells are feasible, safe and effective in treating patients with R/R MM.

Associations of granulocyte colony-stimulating factor with toxicities and efficacy of chimeric antigen receptor T-cell therapy in relapsed or refractory B-cell acute lymphoblastic leukemia.

Few studies have reported the associations of granulocyte colony-stimulating factor (G-CSF) with cytokine release syndrome (CRS), neurotoxic events (NEs) and efficacy after chimeric antigen receptor (CAR) T-cell therapy for relapsed or refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL). We present a retrospective study of 67 patients with R/R B-ALL who received anti-CD19 CAR T-cell therapy, 41 (61.2%) patients received G-CSF (G-CSF group), while 26 (38.8%) did not (non-G-CSF group). Patients had similar duration of grade 3-4 neutropenia between the two groups. The incidences of CRS and NEs were higher in G-CSF group, while no differences in severity were found. Further stratified analysis showed that the incidence and severity of CRS were not associated with G-CSF administration in patients with low bone marrow (BM) tumor burden. None of the patients with low BM tumor burden developed NEs. However, there was a significant increase in the incidence of CRS after G-CSF administration in patients with high BM tumor burden. The duration of CRS in patients who used G-CSF was longer. There were no significant differences in response rates at 1 and 3 months after CAR T-cell infusion, as well as overall survival (OS) between the two groups. In conclusion, our results showed that G-CSF administration was not associated with the incidence or severity of CRS in patients with low BM tumor burden, but the incidence of CRS was higher after G-CSF administration in patients with high BM tumor burden. The duration of CRS was prolonged in G-CSF group. G-CSF administration was not associated with the efficacy of CAR T-cell therapy.

Immunoinformatics Design and In Vivo Immunogenicity Evaluation of a Conserved CTL Multi-Epitope Vaccine Targeting HPV16 E5, E6, and E7 Proteins.

Human papillomavirus type 16 (HPV16) infection is responsible for more than 50% of global cervical cancer cases. The development of a vaccine based on cytotoxic T-lymphocyte (CTL) epitopes is a promising strategy for eliminating pre-existing HPV infections and treating patients with cervical cancer. In this study, an immunoinformatics approach was used to predict HLA-I-restricted CTL epitopes in HPV16 E5, E6, and E7 proteins, and a set of conserved CTL epitopes co-restricted by human/murine MHCs was screened and characterized, with the set containing three E5, four E6, and four E7 epitopes. Subsequently, the immunogenicity of the epitope combination was assessed in mice, and the anti-tumor effects of the multi-epitope peptide vaccine E5E6E7pep11 and the recombinant protein vaccine CTB-Epi11E567 were evaluated in the TC-1 mouse tumor model. The results demonstrated that mixed epitope peptides could induce antigen-specific IFN-γ secretion in mice. Prophylactic immunization with E5E6E7pep11 and CTB-Epi11E567 was found to provide 100% protection against tumor growth in mice. Moreover, both types of the multi-epitope vaccine significantly inhibited tumor growth and prolonged mouse survival. In conclusion, in this study, a multi-epitope vaccine targeting HPV16 E5, E6, and E7 proteins was successfully designed and evaluated, demonstrating potential immunogenicity and anti-tumor effects and providing a promising strategy for immunotherapy against HPV-associated tumors.

MiR-155 promotes compensatory lung growth by inhibiting JARID2 activation of CD34+ endothelial progenitor cells.

Bone marrow-derived CD34-positive (CD34+) endothelial progenitor cells (EPCs) has unique functions in the mechanism of compensatory lung growth (CLG). The content of this study is mainly to describe the effect of microRNA (miR)-155 in the mechanisms of EPCs and CLG. Our study found that transfection of miR-155 mimic could promote EPC proliferation, migration and tube formation, while transfection of miR-155 inhibitor had the opposite effect. It was also found that transfection of pc-JARID2 inhibited EPC proliferation, migration and tube formation, while transfection of si-JARID2 had the opposite effect. miR-155 can target and negatively regulate JARID2 expression. Overexpression of JARID2 weakened the promoting effects of miR-155 mimic on EPC proliferation, migration, and tubular formation, while silencing JARID2 weakened the inhibitory effects of miR-155 inhibitors on EPC proliferation, migration, and tubular formation. Transplantation of EPCs transfected with miR-155 mimic into the left lung model effectively increased lung volume, total alveolar number, diaphragm surface area, and lung endothelial cell number, while transplantation of EPCs co-transfected with miR-155 mimic and pc-JARID2 reversed this phenomenon. Overall, we found that miR-155 activates CD34+ EPC by targeting negative regulation of JARID2 and promotes CLG.

The prognostic significance of POD24 in peripheral T-cell lymphoma.

BACKGROUND: Peripheral T-cell lymphomas (PTCL) are an aggressive group of mature T-cell neoplasms, often associated with poor outcomes, in part, due to frequent relapsed/refractory disease. The objective of this study was to assess the prognostic impact of disease progression within 24 months (POD24) on overall survival (OS) for patients diagnosed with PTCL. METHODS: A retrospective analysis was conducted on a cohort of patients with newly diagnosed PTCL who underwent chemotherapy at the Affiliated Hospital of Xuzhou Medical University between January 2010 and September 2021. Prognostic assessment was limited to patients who were evaluable for POD24. RESULTS: Records were reviewed for 106 patients with PTCL, of whom 66 patients experienced POD24 (referred to as the POD24 group) and 40 patients did not experience POD24 (referred to as the no POD24 group). Significant differences were observed between the POD24 group and the no POD24 group in regard to clinical stage, Eastern Cooperative Oncology Group (ECOG) performance status (PS), International Prognostic Index (IPI) score, lactate dehydrogenase (LDH) levels, ß2-microglobulin (ß2-MG) levels, prealbumin and albumin levels. Patients in the POD24 group had a significant shorter median OS compared to the no POD24 group (11.9 months vs not reached, respectively; P < 0.001). Non response (NR) to treatment and POD24 were identified as independent negative prognostic factors for survival in patients with PTCL. CONCLUSION: POD24 is a prognostic factor associated with unfavorable outcomes in patients with PTCL and can be used to identify high-risk patients and guide treatment decisions.

Association of HLA class I and II genes with cervical cancer susceptibility in a Han Chinese population.

Cervical cancer (CC) is one of the leading causes of cancer-related death in females worldwide. Genome-wide association studies (GWASs) have identified CC-related susceptibility loci in HLA regions. To investigate the associations between HLA genes and cervical intraepithelial neoplasia (CIN) or cervical cancer (CC), six loci of HLA class I (HLA-A, -B, and -C) and II (HLA-DRB1, -DPB1, and -DQB1) were selected for genotyping, and the associations between these alleles or their haplotypes with CIN or CC risk or protection from disease were evaluated. In total, 2193 participants, including 909 healthy individuals in the control group, 769 patients with CC, and 515 patients with CIN2+ (CIN II and III), were enrolled in the current study. HLA genes were genotyped using the NGSgo Illumina MiSeq workflow, and the associations between these loci and CIN2+ or CC at the allele and haplotype levels were analyzed. The allele frequencies of HLA-A*33:03, B*58:01, C*03:02, DPB1*05:01, and DRB1*12:01 were lower in both the CC and CIN2+ groups than in the control group, whereas those of B*55:02, C*04:03, and DPB1*03:01 were higher in the CC group than in the control group. In the histologic CC type analysis, the differences in the frequencies of these alleles in squamous cell carcinoma (SCC) of the cervix and stage I CC showed a consistent trend. In the haplotype analysis, the frequency of A*33:03-C*03:02-B*58:01 was lower in the CC and CIN2+ groups than in the control group, and that of A*24:02-C*04:03-B*15:25 was higher in the CC group than in both the control and CIN2+ groups. These three different haplotype frequencies were also identified in the FIGO CC stage analysis. In addition, in human papilloma virus (HPV) genotype analyses, the frequencies of HLA-C*03:02 and DPB1*05:01 were significantly lower in the CC and CIN2+ groups than in the control group, and in SCC subgroup, the frequencies of HLA-DQB1*04:01 and DRB1*04:05 were higher in the HPV other genotype infection group than in the HPV16 infection group. In both HPV16 single infection and coinfection with other HPVs, the frequency of haplotype A*33:03-C*03:02-B*58:01 was lower in both CC and CIN2+ than in the control group, while the frequencies of A*11:01-C*14:02-B*51:01 and A*24:02-C*03:04-B*13:01 were higher in the CIN2+ than in CC and the control group. In the HPV16 and other HPV infection comparisons, the frequencies of DRB1*04:05-DQB1*04:01-DPB1*02:01 and DRB1*11:01-DQB1*03:01-DPB1*05:01 were lower in the HPV16 infection group than in the other HPV infection group. Our results suggest that the HLA class I and II genes may affect the risk of CIN and CC as well as the histologic CC types and FIGO stages of CC in the Han Chinese population. In addition, HLA genes were associated with HPV16 infection at both the allelic and haplotype levels.

SI-ViT: Shuffle instance-based Vision Transformer for pancreatic cancer ROSE image classification.

BACKGROUND AND OBJECTIVE: The rapid on-site evaluation (ROSE) technique improves pancreatic cancer diagnosis by enabling immediate analysis of fast-stained cytopathological images. Automating ROSE classification could not only reduce the burden on pathologists but also broaden the application of this increasingly popular technique. However, this approach faces substantial challenges due to complex perturbations in color distribution, brightness, and contrast, which are influenced by various staining environments and devices. Additionally, the pronounced variability in cancerous patterns across samples further complicates classification, underscoring the difficulty in precisely identifying local cells and establishing their global relationships. METHODS: To address these challenges, we propose an instance-aware approach that enhances the Vision Transformer with a novel shuffle instance strategy (SI-ViT). Our approach presents a shuffle step to generate bags of shuffled instances and corresponding bag-level soft-labels, allowing the model to understand relationships and distributions beyond the limited original distributions. Simultaneously, combined with an un-shuffle step, the traditional ViT can model the relationships corresponding to the sample labels. This dual-step approach helps the model to focus on inner-sample and cross-sample instance relationships, making it potent in extracting diverse image patterns and reducing complicated perturbations. RESULTS: Compared to state-of-the-art methods, significant improvements in ROSE classification have been achieved. Aiming for interpretability, equipped with instance shuffling, SI-ViT yields precise attention regions that identifying cancer and normal cells in various scenarios. Additionally, the approach shows excellent potential in pathological image analysis through generalization validation on other datasets. CONCLUSIONS: By proposing instance relationship modeling through shuffling, we introduce a new insight in pathological image analysis. The significant improvements in ROSE classification leads to protential AI-on-site applications in pancreatic cancer diagnosis. The code and results are publicly available at https://github.com/sagizty/MIL-SI.

rs217727 of lncRNA H19 is Associated with Cervical Cancer Risk in the Chinese Han Population.

Background: Long noncoding RNAs (LncRNAs) have been revealed to involve in cervical cancer (CC) developing. The current study was designed to explore the association of SNPs (rs217727, rs2366152, rs1859168, rs10505477) located in the lncRNA H19, HOTAIR, HOTTIP and CASC8 genes with the risk of CC in a Chinese Han population. Methods: Four SNPs were selected and genotyped in 1426 participants (274 CIN patients, 448 CC patients, and 704 healthy control individuals) using MassArray. The association of these SNPs with susceptibility to CC was evaluated. Results: Significant differences in allelic distribution of rs217727 were observed in the comparison of CC with control (P = 0.001), indicating the risk of rs217727-A allele in CC (OR = 1.33; 95% CI: 1.12-1.58). The inheritance model analysis revealed that 2AA+GA genotype represented a certain risk of CC (P = 0.001, OR = 1.35; 95% CI: 1.13-1.62). The stratified analysis revealed a risk of the rs217727-A allele for cervical squamous cell carcinoma (SCC) (P = 0.002, OR = 1.33; 95% CI: 1.11-1.60). Conclusion: rs217727 in lncRNA H19 exhibited a significant correlation with CC susceptibility, particularly SCC, and A/A genotype of this SNP might present as a risk in CC.

[Effect of Hemoglobin on Efficacy of CAR-T Therapy in Patients with Multiple Myeloma].

OBJECTIVE: To investigate the effect of hemoglobin (Hb) on the efficacy of chimeric antigen receptor T cell therapy (CAR-T) in patients with multiple myeloma (MM). METHODS: From June 2017 to December 2020, 76 MM patients who received CAR-T therapy in the Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, with complete clinical data and evaluable efficacy, were selected as the research objects. According to the receiver operating characteristic (ROC) curve, the best cut-off value was obtained. The patients were divided into groups on the basis of Hb 105.5 g/L as the cut-off value. The age, sex, serum calcium, ß2-microglobulin, serum creatinine, lactate dehydrogenase (LDH), and the influencing factors of CAR-T treatment efficacy in MM patients were analyzed. RESULTS: Hb was an influencing factor of efficacy. Univariate analysis showed that Hb, LDH, and albumin affected the efficacy of CAR-T therapy. Multivariate analysis showed that Hb ( OR=1.039, 95% CI: 1.002-1.078) and LDH ( OR=1.014, 95% CI: 1.000-1.027) were the influencing factors for the efficacy of CAR-T therapy. CONCLUSION: The efficacy of CAR-T therapy in MM patients with low Hb is poor, and Hb is a factor affecting the efficacy of CAR-T therapy.

Sustained release of alginate hydrogel containing antimicrobial peptide Chol-37(F34-R) in vitro and its effect on wound healing in murine model of Pseudomonas aeruginosa infection.

BACKGROUND: Antibiotic resistance is a significant public health concern around the globe. Antimicrobial peptides exhibit broad-spectrum and efficient antibacterial activity with an added advantage of low drug resistance. The higher water content and 3D network structure of the hydrogels are beneficial for maintaining antimicrobial peptide activity and help to prevent degradation. The antimicrobial peptide released from hydrogels also hasten the local wound healing by promoting epithelial tissue regeneration and granulation tissue formation. OBJECTIVE: This study aimed at developing sodium alginate based hydrogel loaded with a novel antimicrobial peptide Chol-37(F34-R) and to investigate the characteristics in vitro and in vivo as an alternative antibacterial wound dressing to treat infectious wounds. METHODS: Hydrogels were developed and optimized by varying the concentrations of crosslinkers and subjected to various characterization tests like cross-sectional morphology, swelling index, percent water contents, water retention ratio, drug release and antibacterial activity in vitro, and Pseudomonas aeruginosa infected wound mice model in vivo. RESULTS: The results indicated that the hydrogel C proved superior in terms of cross-sectional morphology having uniformly sized interconnected pores, a good swelling index, with the capacity to retain a higher quantity of water. Furthermore, the optimized hydrogel has been found to exert a significant antimicrobial activity against bacteria and was also found to prevent bacterial infiltration into the wound site due to forming an impermeable barrier between the wound bed and external environment. The optimized hydrogel was found to significantly hasten skin regeneration in animal models when compared to other treatments in addition to strong inhibitory effect on the release of pro-inflammatory cytokines (interleukin-1ß and tumor necrosis factor-α). CONCLUSIONS: Our results suggest that sodium alginate -based hydrogels loaded with Chol-37(F34-R) hold the potential to be used as an alternative to conventional antibiotics in treating infectious skin wounds.

A combination of pre-infusion serum ferritin, CRP and IL-6 predicts outcome in relapsed/refractory multiple myeloma patients treated with CAR-T cells.

Background: Chimeric antigen receptor - T (CAR-T) cell therapy has shown remarkable efficacy in patients with relapsed/refractory multiple myeloma (R/R MM). However, a subset of patients still experienced progression or relapse, and the predictors of prognosis are little known. We analyzed the inflammatory markers before CAR-T cell infusion, to clarify their correlation with survival and toxicity. Methods: This study involved 109 R/R MM patients who received CAR-T therapy between June 2017 and July 2021. Inflammatory markers, including ferritin, c-reactive protein (CRP), and interleukin-6 (IL-6) before CAR-T cell infusion were detected and then categorized by quartiles. Adverse events and clinical outcomes were compared between patients with upper quartile of inflammatory markers and patients with lower three quartiles of inflammatory markers. An inflammatory prognostic index (InPI) based on these three inflammatory markers was developed in this study. Patients were divided into 3 groups according to the InPI score, progression-free survival (PFS) and overall survival (OS) were compared among the groups. In addition, we explored the correlation between cytokine release syndrome (CRS) and pre-infusion inflammatory markers. Results: We found that the pre-infusion high ferritin (hazard ratio [HR], 3.382; 95% confidence interval [CI], 1.667 to 6.863; P = .0007), high CRP (HR, 2.043; 95% CI, 1.019 to 4.097; P = .044), and high IL-6 (HR, 3.298; 95% CI, 1.598 to 6.808; P = .0013) were significantly associated with inferior OS. The formula of the InPI score was based on the HR value of these 3 variables. Three risk groups were formed: (good, 0 to 0.5 point; intermediate, 1 to 1.5 points; poor, 2 to 2.5 points). Median OS for patients with good, intermediate, and poor InPI was not reached, 24 months, and 4 months, respectively, and median PFS was 19.1 months, 12.3 months, and 2.9 months, respectively. In the cox proportional hazards model, poor InPI remained an independent prognostic factor for PFS and OS. Pre-infusion ferritin was negatively associated with CAR T-cell expansion normalized to baseline tumor burden. Spearman correlation analysis showed that pre-infusion ferritin and IL-6 levels positively correlated with the grade of CRS (P = .0369 and P = .0117, respectively). The incidence of severe CRS was higher in patients with high IL-6 compared with patients with low IL-6 (26% vs. 9%, P = .0405). Pre-infusion ferritin, CRP and IL-6 were positively correlated with each peak values within the first month after infusion. Conclusions: Our results suggest that patients with elevated inflammation markers before CAR-T cell infusion are more likely to have poor prognosis.

Prognostic value of prelymphodepletion absolute lymphocyte counts in relapsed/refractory diffuse large B-cell lymphoma patients treated with chimeric antigen receptor T cells.

Introduction: Chimeric antigen receptor (CAR) T cell therapy has achieved unprecedented efficacy recently. However, the factors related to responses and durable remission are elusive. This study was to investigate the impact of pre-lymphodepletion (pre-LD) absolute lymphocyte count (ALC) on CAR T cell therapy outcomes. Methods: We conducted a retrospective study of 84 patients with relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) who underwent CAR T cell treatment at the Affiliated Hospital of Xuzhou Medical University between March 1,2016 and December 31, 2021. The enrolled patients were divided into high group and low group according to the optimal cutoff value of pre-LD ALC. The Kaplan-Meier analyses was used to calculate survival curves. The Cox proportional hazards model was used for univariate and multivariate analysis to assess the prognostic factors. Results: The ROC showed that the optimal cutoff value of pre-LD ALC was 1.05 x 109/L. The overall response (defined as partial response or complete response) rate was significantly higher in patients with a high pre-LD ALC (75% versus 52.08%; P=0.032). Patients with a low pre-LD ALC had significantly inferior overall survival (OS) and progression-free survival (PFS) compared with those having a high pre-LD ALC (median OS, 9.6 months versus 45.17 months [P=0.008]; median PFS, 4.07 months versus 45.17 months [P= 0.030]). Meanwhile, low pre-LD ALC is an independent risk factor for PFS and OS. Discussion: The data suggested that pre-LD ALC may serve as a helpful indicator to predict the outcomes of CAR T cell therapy in patients with R/R DLBCL.