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At least 19 recordsLinked to original sources
PubMed2026

Tumor microenvironment-simulated organoids for personalized therapy prediction in head and neck squamous cell carcinoma.

Patient-derived organoids (PDOs) have emerged as promising models for predicting personalized drug responses in cancer therapy. However, the absence of essential immune and stromal components limits their ability to recapitulate the tumor microenvironment. Here, we established a total of 30 patient-derived organoids (PDOs) from 79 patients with locally advanced (LA) and recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC). These PDOs maintained sustained expansion capacity and preserved the histopathological characteristics and genomic heterogeneity of their parental tumors. By integrating autologous immune cells and cancer-associated fibroblasts (CAFs) into PDOs, respectively, microenvironment-simulated PDOs (MS-PDOs) were established using a feasible co-culture condition. Compared with conventional PDOs, MS-PDOs-PBMC exhibited specific cytotoxicity and responses to PD-1/PD-L1 inhibitors, while MS-PDOs-CAFs showed enhanced tolerance to chemotherapy drugs, indicating that microenvironment components modulate therapeutic responses in HNSCC. The drug response profiles of MS-PDOs exhibited diverse sensitivity to PD-1/PD-L1 inhibitors, chemotherapy drugs, and combination regimens. Notably, the therapeutic predictions of MS-PDOs were consistent with clinical treatment outcomes, supporting their translational relevance. Collectively, MS-PDOs serve as a robust platform for modeling the tumor microenvironment and predicting therapeutic responses, supporting precision medicine-guided clinical decision-making and offering personalized treatment strategies for HNSCC patients.

Humans↗
PubMed2025

Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I point-mutation ligandome evaluation.

Rapid identification of T cell receptors (TCRs) that specifically bind patient-unique neoepitopes is a critical challenge for personalized TCR-based therapies in oncology. Due to enormous diversity of both TCR and neoepitope repertoires, a machine learning predictor of TCR-pMHC specificity for personalized therapy must generalize to TCRs and epitopes not seen in the training data. We estimate the necessary size of such training data. We first confirm that published models fail to generalize beyond a single-residue dissimilarity to the epitope training set distribution. We then impute the point-mutation ligandome across the 34 most prevalent human MHC alleles and represent it as a graph based on our established dissimilarity cutoff. By finding the dominating set of this graph, we estimate that between one and 100 million epitopes are required to train a generalizable sequence-based TCR specificity prediction model-1000 times the size of current public data.

Humans↗
PubMed2026

EPIC: multi-objective guided diffusion for epitope design in TCR-pMHC complexes.

MOTIVATION: T cell receptor (TCR) recognition of peptide-major histocompatibility complex (pMHC) complexes is central to adaptive immunity, yet rational design of immunogenic epitopes remains elusive due to complex triplet binding constraints and data scarcity. No existing method can generate epitopes satisfying simultaneous requirements for antigenicity, MHC presentation, and TCR specificity. RESULTS: We present EPIC, a multi-objective diffusion framework that decomposes TCR-pMHC binding into three biologically grounded sub-tasks, enabling training-free gradient guidance without end-to-end retraining. By integrating ESM-based classifiers with a peptide diffusion generator, EPIC leverages heterogeneous immunological interaction datasets to generate diverse, context-aware epitopes. EPIC-designed top-three epitopes achieve lower predicted interface energies compared to ground-truth epitopes in 78.31% of test cases, while maintaining 80.1% sequence novelty and comparable structural confidence. Generated epitopes exhibit 100% uniqueness, high diversity (64.05%), and high antigenicity scores (0.4723). To our knowledge, EPIC is the first computational framework capable of de novo epitope design while explicitly integrating the triplet constraints of TCR-pMHC binding. This paradigm shift from discovery to design unlocks new potential for personalized cancer vaccines, precision adoptive T cell therapy, and rapid response to emerging infectious diseases. AVAILABILITY AND IMPLEMENTATION: The source code of EPIC is available at https://github.com/Octopus125/EPIC and archived on Zenodo (DOI: 10.5281/zenodo.18537646).

Receptors, Antigen, T-Cell↗
PubMed2026

Ribonucleotide Reductase Inhibition Triggers Ferroptosis in Genetically Defined Subsets of Non-Small Cell Lung Cancer.

UNLABELLED: Non-small cell lung cancer (NSCLC) is responsible for the majority of cancer-related mortality worldwide. Lung adenocarcinoma is the most common NSCLC subtype. Despite advances in targeted therapies, treatment resistance remains a critical challenge. Ribonucleotide reductase (RNR), a crucial enzyme in deoxyribonucleotide triphosphate biosynthesis, is frequently upregulated in cancer, contributing to genomic instability and poor prognosis in multiple malignancies. However, the role of the RNR complex in driving tumorigenesis is not fully understood in oncogene-driven lung adenocarcinoma. Transcriptomic analysis of more than 27,000 real-world samples of patients with NSCLC revealed that RNR subunits (RRM1 and RRM2) are significantly upregulated in TP53-mutated NSCLC and are correlated with significantly poor prognosis in multiple oncogene-driven lung adenocarcinoma. Using pharmacologic and genetic approaches to inhibit RNR in lung adenocarcinoma models, we assessed functional consequences through molecular, biochemical, and imaging techniques. RNR inhibition induced appreciable replication stress and triggered DNA damage, leading to cell death in lung adenocarcinoma cells. Notably, we uncovered that RNR suppression preferentially induced ferroptosis, an iron-dependent cell death driven by lipid peroxidation. This represents a previously unrecognized mechanism of RNR-mediated cell death by which mutant lung adenocarcinoma cells can be selectively targeted. Our study establishes RNR inhibition as a potent strategy to selectively induce ferroptosis in oncogene-addicted lung adenocarcinoma, offering a new therapeutic avenue for genetically defined patient subgroups. Targeting nucleotide metabolism could serve as an effective approach to overcome treatment resistance and improve clinical outcomes for patients with high-risk lung adenocarcinoma. SIGNIFICANCE: Our findings highlight RNR as a promising therapeutic target in oncogene-driven lung adenocarcinoma. By demonstrating that RNR inhibition induces ferroptosis, our study opens up new possibilities for developing targeted therapies that selectively eliminate cancer cells in lung adenocarcinoma, paving the way for personalized treatment strategies and potentially overcoming resistance to current therapies.

Humans↗
PubMed2026

Proteogenomic analysis of pediatric and AYA high-grade glioma reveals age-dependent biology, female-male differences, and kinase targets.

High-grade gliomas (HGGs) in children and adolescents and young adults (AYA) exhibit distinct biology across the neurodevelopmental spectrum. To dissect tumor-intrinsic molecular characteristics independent of developmental variation, we perform comprehensive proteogenomic analyses of tumors from 112 HGG patients aged 0-40 years. Our multi-omics analysis identifies two AYA subgroups-adolescents (aged 15-26 years) and young adults (aged 26-40 years)-with distinct molecular profiles and survival outcomes. Tumor-normal comparisons and survival modeling highlight roles of oxidative phosphorylation and neuronal system biology in glioma progression. Causal network analysis and cell line studies provide a rationale for personalized therapies targeting candidate kinases, such as CDK8. Survival modeling, clustering, and immune-landscape analyses identify proteins, post-translational modifications, and immune signatures linked to outcomes and reveal clinically relevant differences between male and female patients.

adolescent and young adult glioma↗
PubMed2026

The role of Epstein-Barr virus in NK/T cell lymphoproliferative disorders: molecular mechanisms and potential therapeutic strategies.

Epstein-Barr virus (EBV) is a widely prevalent lymphotropic γ-herpesvirus, with approximately 95% of the population showing evidence of infection at some point during their lifetime. While most infections are asymptomatic or follow a self-limiting clinical course, in certain populations, EBV can lead to a range of lymphoproliferative disorders (LPDs), particularly subtypes originating from T cells and natural killer (NK) cells, which are often characterized by highly aggressive disease progression. This review aims to systematically discuss the molecular basis of EBV infection, covering its viral biological properties, regulation of the latent and lytic cycles, key viral protein functions (e.g., LMP1, LMP2A, EBNA1), miRNA regulatory mechanisms, and the activation of various host signaling pathways (such as NF-κB, PI3K-AKT, JAK-STAT) that contribute to the maintenance of latent infection, cell transformation, and immune evasion. Additionally, the review focuses on the pathogenic contributions of these mechanisms in EBV-related T/NK cell lymphoproliferative diseases. Research highlights include the in-depth analysis of virus-host genome interaction mechanisms, the identification of novel molecular biomarkers, and the development of targeted therapeutic strategies (e.g., PD-1/PD-L1 immune checkpoint inhibitors, EBV-specific T cell therapy). Through this comprehensive review, it is hoped that personalized medicine and artificial intelligence-assisted multimodal decision-making will be applied to the precise prevention and treatment of EBV-related diseases.

Humans↗
PubMed1975

Intraleukocytic bactericidal activity in patients receiving corticosteroid and radiation therapy, and in patients with diabetes mellitus.

Bactericidal activities of peripheral white blood cells obtained from patients and from healthy persons were examined in vitro. The results obtained are summarized as follows. 1. Peripheral white blood cells from patients receiving corticosteroid and radiation therapy showed decreased levels of intracellular bactericidal activities against Staphylococcus aureus. The leukocytes from almost all patients examined displayed intense activities of intracellular bacterial killing against Streptococcus pyogenes. 2. Only polymorphonuclear leukocytes (PMNs) and macrophages obtained from patients in severe stages of diabetes mellitus exhibited decreased levels of intracellular bactericidal activities against S. aureus. 3. The leukocytes from all patients examined exhibited the same levels of intracellular bactericidal effects against S. pyogenes as leukocytes from healthy persons. 4. Pseudomonas aeruginosa, which was phagocytized by PMNs obtained from healthy persons, demonstrated a remarkable degree of resistance to any intracellular bactericidal effect.

Adrenal Cortex Hormones↗
PubMed2026

Identification of Glioblastoma Cell Surface Proteins and Assessment of Their Expression Across Patient-Derived Stem-Like Cell Cultures.

Glioblastoma (GBM) is the most common primary brain cancer in adults and remains fatal, with a median survival of a few months. There is an urgent need to develop novel therapeutic strategies against this aggressive malignancy. Modern cancer research increasingly focuses on personalized therapies tailored toward unique molecular features of each tumor or patient. In this context, cell surface proteins (CSPs) represent an attractive class of therapeutic targets due to their accessibility and central roles in physiological and pathological processes, making them among the most targeted proteins in current drug development. In this study, promising CSPs were identified through an untargeted proteomics approach using high-resolution mass spectrometry on patient-derived GBM stem-like cell (GSC) cultures, complemented by RNA-seq data and computational database analyses. From this primary discovery, five CSPs, namely PTK7, PTPRZ1, OSMR, CSPG4, and IGDCC4, were selected for detailed investigation. A targeted UHPLC-multiple reaction monitoring (MRM) method was developed and optimized to assess their expression and evaluate their abundance variations across different GSC cultures and cell passage levels. Beyond confirming these CSPs as potential therapeutic targets in GBM, our study demonstrates the value of three-dimensional GSC cultures as robust models for biomarker research and target assessment.

Humans↗
PubMed2026

Fatty acids and breast cancer: Epidemiology, subtype-specific metabolism, immune regulation, and clinical translation.

Fatty acids (FAs) are bioactive dietary and metabolic molecules that participate in membrane architecture, energy homeostasis, inflammatory signaling, gene regulation and immune function, all of which intersect with breast cancer (BC) risk, progression and treatment response. In this narrative review we integrate epidemiological, clinical, translational and mechanistic evidence on the role of FAs in BC. Saturated, monounsaturated, trans- and polyunsaturated FAs (PUFAs) are treated as distinct biological exposures rather than interchangeable measures of total fat intake. Similarly, evidence from dietary assessment, circulating biomarkers, erythrocyte membrane composition, adipose tissue stores and tumor lipid signatures is interpreted separately, because each captures exposure and biology at a different level. BC subtypes differ in FA synthesis, uptake, oxidation, storage and remodeling: luminal tumors are frequently linked to hormone-regulated lipogenesis, human epidermal growth factor receptor 2 (HER2)-positive tumors to growth-factor-driven lipid metabolism, and triple-negative tumors to exogenous FA uptake, inflammatory lipid mediators and ferroptosis-related vulnerabilities. FA-derived mediators also shape immune-cell polarization, cytokine signaling and the tumor microenvironment, and dietary FAs may reshape the gut microbiota; the fiber-derived short-chain FAs it produces, distinct from dietary FAs, likewise help regulate immune and inflammatory tone. Clinical data suggest possible roles for fat-quality modification and selected n-3 PUFA interventions, but findings are heterogeneous and not yet sufficient to support routine biomarker-guided precision onco-nutrition. Candidate biomarkers, such as erythrocyte n-6:n-3 composition, require prospective validation before clinical implementation. FA biology thus represents a modifiable but complex axis in BC prevention, tumor biology and supportive care.

Humans↗
PubMed2026

Myeloid-Mediated Immunoregulation and Resistance to Immune Checkpoint Inhibitor Therapy Across Squamous Cell Carcinomas: Mechanisms and Reprogramming Strategies.

Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 have improved outcomes across squamous cell carcinomas (SCCs) of the head and neck, lung, esophagus, and skin, yet durable responses remain confined to a subset of patients in every subtype. Objective response rates vary substantially across SCCs despite overlapping genomic alterations, comparable tumor mutational burden, and high PD-L1 expression, indicating that tumor-intrinsic biomarkers alone do not explain this variability. Growing evidence points to the tumor immune microenvironment, and in particular the myeloid compartment, as a critical determinant of immunotherapy responsiveness. In this review, we synthesize current evidence on myeloid-mediated immune regulation across SCC subtypes, focusing on tumor-associated macrophages, myeloid-derived suppressor cells/tumor-associated neutrophils, and dendritic cells, and the mechanisms by which these populations impair antigen presentation, restrict T cell infiltration, and sustain immunologically "cold" tumor states. We further examine therapeutic strategies aimed at reprogramming rather than simply depleting suppressive myeloid populations, including radiation therapy, STING agonism, and myeloid-targeted agents (CSF1R, PI3Kγ, and CXCR2 inhibition), each of which has shown encouraging preclinical and early clinical activity in combination with ICI. Collectively, this evidence supports a model in which the myeloid compartment functions as an actionable, convergent determinant of ICI resistance across SCC subtypes, rather than merely a passive biomarker. We propose that through the integration of spatial and single-cell profiling of myeloid states with clinical history it will be possible to predict response to immune checkpoint therapy and personalize myeloid-directed combination strategies, though the specific biomarkers needed to match individual patients to a given myeloid-targeted approach remain to be defined. We further discuss the toxicity considerations associated with both immune checkpoint blockade and radiation-based combination approaches, the early-phase status of most myeloid-targeted agents currently in clinical development, and the extent to which mechanistic insight, derived predominantly from HNSCC, generalizes to squamous cell carcinomas arising at other anatomic sites.

dendritic cells↗
PubMed2025

A Programmable Nanovaccine Platform Based on M13 Bacteriophage for Personalized Cancer Vaccine and Therapy.

Nanovaccines co-assemble antigens and adjuvants to elicit robust immune responses but often require complex synthesis and post-modification procedures. Here, a programmable nanovaccine platform based on the M13 bacteriophage is developed for the scalable production of vaccines and single-step modular engineering of adjuvanticity, length, and antigen density. By reprogramming the sequence and size of the noncoding phage genome, the Toll-like receptor 9 activation and the length of the phage are precisely controlled. With a novel molecular engineering approach, the antigen density is tuned from 13.6% to 70.3%. A systematic modulation reveals an optimal adjuvanticity at a constant antigen density for maximum anti-tumor CD8+ T cell response, and vice versa, using the model antigen SIINFEKL. The M13 phage-based nanovaccine induces durable memory immunity lasting over a year. In addition, a 24-fold increase in neoantigen-specific CD8+ T cell frequency is achieved when increasing both the adjuvanticity and antigen density. Furthermore, when combined with anti-PD-1 therapy, the M13 phage-based personalized vaccine eradicates established MC-38 tumors in 75% of treated animals and they develop 100% resistance against tumor invasion when challenged 5 months after treatment. These findings establish M13 phage as a powerful and versatile nanovaccine platform with transformative potential for personalized cancer immunotherapy.

Cancer Vaccines↗
PubMedDate not supplied

Biology of the human myeloma cell population. II. Cytokinetic characteristics.

A kinetic study of five human myeloma cell populations before and after chemotherapy using cytochemical and autoradiographical techniques showed: 1. a large number of cells, with a DNA content intermediate between 2c and 4c, that did not incorporate thymidine ('U' cells) and were indicative of ineffective myelomapoiesis; 2. non cell cycle-specific (cyclophosphamide) followed by cell cycle-specific (vincristine) treatment led to an increase in the 3H-thymidine labelling index (LI) and activation of macromolecular synthesis (increased uridine and leucine uptake and actinomycin binding capacity) pointing to early cell recruitment. A high percentage of 'U' cells can be found even after therapy. The LI variations make it clear that recruitment after therapy is overestimated by at least 40% due to ineffective myelomapoiesis. In the light of this and previous personal studies, we propose a kinetic pattern: the myeloma population may be seen as a highly differentiating population whose non-proliferating cells cannot re-enter the cycle. By contrast, the acute leukemia populations are unable to differentiate, and the non-proliferating cells (G0) can be recalled into the cell cycle.

Cell Cycle↗
PubMed2026

Evolving Management Approaches Toward Personalized Therapy in Acute Myeloid Leukemia: A Narrative Review.

After many years of stagnation in the treatment of acute myeloid leukemia (AML), there is currently a rapid move towards personalized medicine. Improvements in molecular diagnostics, risk assessment tools, targeted therapies, overall patient fitness assessments, and quality-of-life assessments have significantly changed how patients are treated. Genetic and molecular analyses, risk and health assessments, and measurable residual disease (MRD) monitoring are now integral to the treatment plan for evaluating patient responses and recurrence. In this regard, lower-intensity treatments are provided to older or unfit individuals. On the other hand, younger patients are usually subjected to curative therapies such as intensive chemotherapy to induce remission. Depending on their fitness and disease risk, they can be considered for hematopoietic cell transplantation, which is done after close observation for MRD. In addition, newer therapeutic drugs and immunotherapy techniques are being applied for patient management. Tremendous strides have been made in improving the efficiency of treatment programs in the relatively new area of personalized AML therapy, with a focus on functionality.

CPX-351↗
PubMed2026

Uncovering metabolite-immune interactions in the pathogenesis of psoriatic arthritis: A 2-sample Mendelian randomization study.

PsA is a chronic inflammatory joint condition associated with psoriasis, and its underlying mechanisms are not fully elucidated. Serum metabolites, as direct reflections of metabolic status, may influence disease progression by regulating immune cell function; however, the causal relationships and specific pathways require further investigation. The present investigation utilized a 2-sample bidirectional MR methodology, leveraging extensive pooled GWAS data to thoroughly evaluate the causal relationships between 1440 serum metabolites and PsA. Additionally, mediation MR analysis was performed to explore the possible mediating effects of 731 immune cell characteristics. In the primary analysis, inverse-variance weighted was employed, and this was further supported by various sensitivity analyses to confirm the reliability of the findings. The genetic method to infer causality analysis revealed significant positive causal associations between 10 serum metabolites and PsA risk, with quinolinate levels demonstrating the most significant correlation (OR = 1.56, 95% CI: 1.26-1.93); while 4 metabolites (e.g., citrate levels, OR = 0.74, 95% CI: 0.61-0.89) exhibited protective effects. Regarding immune cells, 6 cellular features (e.g., CD20 on B cells) were positively correlated with disease risk, whereas 5 features (primarily HLA-DR expression on monocyte subsets) showed negative correlations. Mediation analysis identified 3 significant pathways,the percentage of the effect explained by the mediator: N6,N6,N6-trimethyllysine levels mediated via B cells (CD20 on IgD+ CD38br), with a proportion of 33.2%; 1-stearoyl-2-docosahexaenoyl-GPE (18:0/22:6) levels mediated through monocytes (HLA-DR on CD14- CD16-) with a 32.0% proportion; the unknown metabolite X-24736 also mediated 42.1% of the protective effect via the same monocyte phenotype. This study revealed that elevated amino acid-related metabolites and glycerophospholipids significantly increase PsA risk through immune cell effects. These are closely associated with PsA pathogenesis and may serve as potential biomarkers. The novel findings underscore metabolic-immune interactions as targets for biomarkers and therapies in PsA, advancing personalized medicine.

Humans↗
PubMed1978

Hyperviscosity syndrome attributable to hyperglobulinemia in chronic active hepatitis.

A young women with clinical and histological features of chronic active hepatitis was noted to have extremely high levels of immunoglobulin (14.6 g per dl). This was associated with the hyperviscosity syndrome, diffuse coagulation abnormalities, and renal insufficiency in the absence of severe liver disease. Correction of these features occurred with plasmapheresis before corticosteroid therapy was begun. A similar group of persons with very high gamma-globulin levels, described previously under the heading of "plasma cell hepatitis," may form a distinct and rare subgroup of chronic active hepatitis patients.

Adolescent↗
PubMed1977

[Steatosis of the liver cells--subclinical liver damage or more?].

The basis of the results are histological investigations of the preparations of liver biopsy of 134 donors who were evident in the SGPT-screening and of 100 patients with viral hepatitis after normalisation of the clinical and the laboratory-chemical findings. The liver casts were got by means of Menghini's method. In patients with hepatitis we found in 43% and in donors in 44% a small-droplet to medium size droplet fatty change in the liver cells. A large-droplet fatty change in the liver cells occurred in the patients with hepatitis only in 2% of the cases, in the donors, however, in 25%. Factors which favour the fatty change in the liver cells, such as adiposis, alcohol and prednisone therapy, were excluded. Our results increase the suspicion that in one part of the clinically healthy donors who are evident in the SGPT-screening we have to do with persons who are in the healing phase of a viral hepatitis with abortive course. Therefore, these persons should be excluded from blood donation. Donors and patients with the findings of a large-droplet fatty change in the liver cells must be investigated systemically. Blood donors with the findings of a fatty liver may remain in the team of donors.

Adolescent↗
PubMed1979

[Chemotherapy of inoperable endothoracic tumours (results of the Karrer and aco polycytostatic therapy) (author's transl)].

The success of chemotherapy of inoperable endothoracic cancer largely depends on interdisciplinary cooperation. 30 years of research have succeeded in developing some promising combinations of cytostatic agents. Administered sequentially they are better tolerated and this has made outpatient treatment possible. 87 persons had polycytostatic therapy according to the Karrer/Sighart formula. It was followed by a difinite improvement in the general condition of the patients, but without any substantial lengthening of the average survival time. The ACO scheme (Seeber/Schmidt) has been used since April 1977 in 42 persons. Preliminary results indicate a definite prologation of survival time, especially in cases of small-cell bronchogenic carcinoma.

Adult↗
PubMed2025

Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study.

BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at improving the prognosis of cancer, and programmed cell death (PCD) is increasingly recognized as a potential target in cancer therapy and prognosis. However, a PCD-based predictive model for serous ovarian carcinoma (SOC) is lacking. In the present study, we aimed to establish a cell death index (CDI)-based model using PCD-related genes. METHODS: We included 1254 genes from 12 PCD patterns in our analysis. Differentially expressed genes (DEGs) from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were screened. Subsequently, 14 PCD-related genes were included in the PCD-gene-based CDI model. Genomics, single-cell transcriptomes, bulk transcriptomes, spatial transcriptomes, and clinical information from TCGA-OV, GSE26193, GSE63885, and GSE140082 were collected and analyzed to verify the prediction model. RESULTS: The CDI was recognized as an independent prognostic risk factor for patients with SOC. Patients with SOC and a high CDI had lower survival rates and poorer prognoses than those with a low CDI. Specific clinical parameters and the CDI were combined to establish a nomogram that accurately assessed patient survival. We used the PCD-genes model to observe differences between high and low CDI groups. The results showed that patients with SOC and a high CDI showed immunosuppression and hardly benefited from immunotherapy; therefore, trametinib_1372 and BMS-754807 may be potential therapeutic agents for these patients. CONCLUSIONS: The CDI-based model, which was established using 14 PCD-related genes, accurately predicted the tumor microenvironment, immunotherapy response, and drug sensitivity of patients with SOC. Thus this model may help improve the diagnostic and therapeutic efficacy of PPPM.

Humans↗