PubMed HealthSearch

SEARCH · PubMed Health

Results for “Lung Immune Prognostic Index”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

7 recordsLinked to original sources

Validation of the lung immune prognostic index in extensive-stage small cell lung cancer: Post hoc analysis of the caspian and IMpower133 phase 3 trials.

BACKGROUND: The Lung Immune Prognostic Index (LIPI) is an inflammation-based biomarker associated with outcomes to immunotherapy across several tumor types. Its prognostic value in extensive-stage small-cell lung cancer (ES-SCLC), however, remains insufficiently validated. We aimed to validate the prognostic impact of LIPI in ES-SCLC using data from two phase III trials. METHODS: Patients enrolled in the CASPIAN (NCT03043872) and IMpower133 (NCT02763579) trials were included. LIPI groups were defined as good (dNLR<3 and LDH<ULN), intermediate (dNLR&#x2265;3 or LDH&#x2265;ULN) and poor (dNLR&#x2265;3 and LDH&#x2265;ULN). Overall survival (OS) and progression-free survival (PFS) were assessed across LIPI categories and treatment arms. RESULTS: LIPI was available for 1140 patients (Good: 34%, Intermediate: 49%, Poor: 17%), including 708 treated with chemotherapy-immunotherapy and 432 with chemotherapy alone. Poor LIPI was associated with unfavorable characteristics, including lower albumin levels and higher rate of liver metastases. Median OS was 14.6 months (95%CI: 12.4-15.9) for LIPI Good, 10.9 (10.1-11.5) for Intermediate, and 8.4 (7.1-9.3) for Poor (p&#x202f;<&#x202f;0.0001). In multivariate models adjusted on gender, age, ECOG, treatment arm and metastatic sites, LIPI remained an independent prognostic factor for OS (HR Poor vs. Good: 1.76, 95%CI: 1.45-2.15, p&#x202f;<&#x202f;0.001) and PFS (HR: 1.59, 95%CI: 1.33-1.90, p&#x202f;<&#x202f;0.001). Although patients with poor LIPI derived limited benefit from immunotherapy, no significant treatment-LIPI interaction was observed. CONCLUSION: This large post hoc analysis confirms LIPI as a robust and clinically applicable prognostic biomarker in ES-SCLC. Patients with poor LIPI have substantially worse outcomes and limited benefit from immunotherapy, highlighting the need for novel therapeutic strategies in this subgroup.

Humans

Hyperprogression Upon Cemiplimab Alone or With Short Course Chemotherapy in PD-L1 &#x2265; 50% Non-small Cell Lung Cancer: A Biomarker Guided Multicenter International Phase 2 Trial-HYPERBOLIC Study.

BACKGROUND: Immune checkpoint inhibitor (ICI) monotherapy is the standard first-line treatment for advanced non-small cell lung cancer (NSCLC) with PD-L1 &#x2265; 50%; however, up to 30% of patients experience early progression or death, including cases of hyperprogressive disease (HPD). High baseline levels (&#x2265; 30.5%) of circulating CD10- low-density neutrophils (LDNs) have been associated with increased HPD occurrence. Emerging evidence suggests that combining ICI with platinum-based chemotherapy (PCT) may mitigate the risk of HPD. Currently, no prospective studies have addressed HPD prevention in this context. PATIENTS AND METHODS: HYPERBOLIC (NCT07274384) is a phase 2, randomized, open-label, multicenter, international trial evaluating whether adding 3 cycles of PCT to first-line cemiplimab reduces HPD rate in stage IV NSCLC with PD-L1 &#x2265; 50% and CD10- LDNs (identified by flow cytometry as CD15&#x207a;CD11b&#x207a; within the PBMC fraction, with immature cells defined by loss of CD10) &#x2265; 30.5%. Seventy-four patients will be randomized (1:1 ratio) to receive cemiplimab alone or cemiplimab plus 3 PCT cycles, followed by cemiplimab maintenance. Randomization will be stratified by Lung Immune Prognostic Index. The first computed tomography scan at week 7 after treatment start will assess HPD occurrence, defined as RECIST v 1.1. disease progression with a delta tumor growth rate (&#x394;TGR) &#x2265; 50% and/or TGR ratio &#x2265; 2. The primary endpoint will be the combined rate of HPD and early death (death within 12 weeks with no radiological evaluation). Secondary endpoints will be HPD rate according to alternative definitions, overall survival, progression free survival, objective response rate, and safety. An extensive translational research platform will include spatial transcriptomics of tumor tissue, single-cell RNA sequencing of PBMCs, circulating-free DNA and plasma factors profiling, and saliva/stool microbiome genomics and metabolomics, to longitudinally explore tumor-host dynamic interactions during treatment. CONCLUSION: to our knowledge, HYPERBOLIC is the first prospective, biomarker-driven trial investigating early treatment escalation based on HPD risk in PD-L1-high NSCLC.

CD10

Handgrip strength and risk of common infections and sepsis: Two prospective cohorts with proteomic mediation analysis.

BACKGROUND: Recent evidence links adiposity with the risk of severe infections, but whether muscle strength may also be an independent risk factor is less studied. We investigated the association between handgrip strength and risk of common infections and sepsis and explored potential mediation by plasma proteomic biomarkers. METHODS: We analyzed data from 405,451 UK Biobank participants and replicated the main findings in 4474 Chinese adults from the Hong Kong Osteoporosis Study (HKOS). Baseline handgrip strength was measured by a dynamometer. Cox models were used to estimate its association with incidence of pneumonia, urinary tract infection (UTI), skin infection, and sepsis, adjusting for sociodemographic, lifestyle, and health-related factors. Mediation analyses were performed using 2912 plasma proteins in a UK Biobank subsample (n = 42,414) to identify biological pathways. RESULTS: In UK Biobank (median follow-up 13.6-15.3 years), lower handgrip strength was associated with significantly increased risk of pneumonia (hazard ratio per 5-kg decrement=1.10; 95% CI=1.09-1.11), UTI (1.10; 1.09-1.11), skin infection (1.05; 1.04-1.05), and sepsis (1.08; 1.07-1.10). Associations were largely consistent in HKOS, and the relative risks associated with low grip strength were generally most pronounced in underweight individuals. GDF15 and PLAUR were identified as the most important proteins which mediated 12-14% of these associations. CONCLUSION: Low handgrip strength is associated with increased risks of common infections and sepsis, particularly in underweight individuals, with partial mediation by proteins related to inflammation and immune-related pathways. Handgrip strength assessment may provide prognostic value beyond body mass index for clinical risk stratification.

Humans

Development and internal validation of a six-gene prognostic model based on galactose metabolism for overall survival in lung adenocarcinoma.

BACKGROUND: Lung cancer remains a leading cause of cancer incidence and mortality globally. Metabolic reprogramming promotes tumor progression and shapes an immunosuppressive tumor microenvironment. Galactose metabolism is involved in multiple malignancies, but its prognostic value in lung adenocarcinoma (LUAD) remains unclear. This study aimed to develop and internally validate a galactose metabolism-related multigene prognostic model for LUAD. METHODS: A retrospective prognostic model development and internal validation study was performed using RNA sequencing (RNA-seq) and clinical data from 585 LUAD patients in The Cancer Genome Atlas (TCGA). Differential expression, functional enrichment, univariate and multivariate Cox regression were applied to construct a prognostic gene signature. Internal validation was performed using bootstrap resampling. Model performance was evaluated by time-dependent receiver operating characteristic (ROC), C-index, calibration, and Kaplan-Meier analysis. Associations between the model and immune infiltration, immunotherapy responsiveness, and tumor stemness were also analyzed. RESULTS: A six-gene prognostic model (GALT, GANC, PGM1, GALM, B4GALT1, PGM2) was developed. The model showed good discrimination with 1-, 3-, and 5-year area under the curve (AUC) values of 0.719, 0.693, and 0.684, respectively. The low-risk group exhibited significantly longer survival, increased antitumor immune infiltration (CD8+ T cells, M1 macrophages, activated CD4+ memory T cells), higher expression of T cell proliferation-related genes, lower immune checkpoint expression, better predicted immunotherapy response, and lower tumor stemness compared with the high-risk group. CONCLUSIONS: We developed and internally validated a six-gene prognostic model for LUAD based on galactose metabolism. The model shows moderate prognostic performance and is associated with antitumor immunity and tumor stemness. It may be used for prognostic risk stratification and to guide personalized immunotherapy in LUAD.

Galactose metabolism

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma.

BACKGROUND: Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechanisms underlying resistance-associated intratumoral heterogeneity are poorly characterized. METHODS: We performed single-cell RNA sequencing of LUAD patients receiving neoadjuvant immunotherapy (responders vs. non-responders), integrating inferCNV, GSVA, and differential expression analyses. Cluster-specific genes were validated across seven independent cohorts (TCGA-LUAD, GSE13213, GSE26939, GSE29016, GSE30219, GSE31210, GSE42127). A multi-algorithm machine learning framework was used to construct a prognostic model, and the immune microenvironment was characterized using TCIA scoring, seven infiltration algorithms, and ESTIMATE. ARNTL2 function was assessed by CCK-8 and Transwell assays in A549 and H1299 cells. RESULTS: Non-responders showed significant enrichment of epithelial cells, depletion of cytotoxic T/NK cells, and elevated copy number variation burden versus responders (p < 0.0001). A resistance-enriched malignant subcluster (Cluster 2) exhibited hyperproliferative and metabolic reprogramming signatures with upregulated KRT17, S100A2, and CST6, which showed tumor-specific overexpression, adverse prognostic value, and genomic amplification across cohorts. CoxBoost combined with survivalSVM achieved optimal predictive performance (C-index = 0.686), yielding robust risk stratification (HR: 2.54-10.51, all p < 0.05). Low-risk patients showed greater immune infiltration and higher TCIA immunophenoscores. ARNTL2 was an independent prognostic factor (HR: 2.07-4.64) strongly correlated with risk score (r = 0.69), and its knockdown suppressed proliferation and invasion in both LUAD cell lines (all p < 0.05). CONCLUSION: This study identifies a resistance-associated malignant subcluster in LUAD, constructs a validated CoxBoost + survivalSVM prognostic model with robust immune stratification, and establishes ARNTL2 as a core oncogenic driver and therapeutic target.

ARNTL2

Dynamic evolution of chaperone-mediated autophagy is associated with tumor microenvironment remodeling and prognostic stratification in lung adenocarcinoma: insights from single-cell transcriptomics, ensemble machine learning, and experimental validation.

BACKGROUND: Lung adenocarcinoma (LUAD) shows prognostic heterogeneity, and tumor-node-metastasis (TNM) staging is limited for individualized management. Chaperone-mediated autophagy (CMA) maintains proteostasis, but its role during adenocarcinoma in situ (AIS)-minimally invasive adenocarcinoma (MIA)-invasive adenocarcinoma (IAC) progression remains unclear. METHODS: Single-cell RNA sequencing (scRNA-seq) data from GSE189357 and bulk transcriptomes from The Cancer Genome Atlas (TCGA)-LUAD and Gene Expression Omnibus (GEO) cohorts were integrated. CMA activity, cell-cell communication, weighted gene co-expression network analysis (WGCNA), tumor-normal differential expression, machine-learning survival modeling, tumor microenvironment (TME) features, drug sensitivity, and EPC1 function were analyzed. RESULTS: CMA-high tumor epithelial cells increased from AIS (58.1%) to MIA (65.7%) but declined in IAC (44.4%; p < 0.001). CMA-low cells preferentially received fibroblast-derived extracellular matrix cues. A CMA-negatively correlated module identified 69 core genes. Random survival forest (RSF) performed best among 117 machine-learning combinations (mean concordance index > 0.873). High-risk patients had worse survival across cohorts, and the risk score was independently associated with overall survival (hazard ratio = 16.013, 95% confidence interval: 9.579-26.768, p < 0.001). High-risk tumors showed proliferative activation and M0 macrophage enrichment, whereas low-risk tumors showed stronger immune-related signaling. EPC1 overexpression suppressed malignant phenotypes in A549 cells. CONCLUSION: CMA dynamics are associated with stromal and immune remodeling during LUAD progression. A CMA-based model provides robust prognostic stratification and may offer a basis for future TME-guided studies.

Chaperone-mediated autophagy

Peripheral lymphocyte count and suppopulations of T and B lymphocytes in benign and malignant diseases.

It is well known that there are many independent and inter-related clinical and pathologic factors which influence the prognosis of patients with benign and malignant conditions. Lymphocyte level is an index of cell-mediated immunity which is important in host defense against cancer. But it is surprising that a simple test such as peripheral lymphocyte count could be correlated with clinical stages and survival results in patients with Hodgkin's disease, non-Hodgkin's lymphoma and non-lymphomatous solid tumors. Regarding the latter, lymphocyte count had prognostic values in patients with cancer of the bone, Ewing's sarcoma; breast; colon; kidney, neuroblastoma; uterine cervix, and other sites. In general, higher lymphocyte counts before therapy correlated with longer survival. Using newer immunologic techniques, T and B lymphocytes can be identified and the different subtypes of leukemia, immunodeficiency and lymphoproliferative diseases have been studied intensively. Chronic lymphocytic leukemia represents a proliferation of B cells, while the Sezary syndrome represents that of T lymphocytes. There is a qualitative and quantitative disturbance of Blymphocytes in patients with multiple myeloma. In Hodgkin's disease, there is hyperactivity of the B cells and functional defect of the T cells. Finally, the nodular non-Hodgkin's lymphoma resulted from neoplastic transformation of the B lymphocytes. In several nonmalignant autoimmune conditions, abnormality of T-cell or B-cell counts has been reported. For example, T cells were reported to be decreased in patients with ulcerative or granulomatous colitis and in patients with rheumatoid arthritis, However, it needs to be pointed out that, in 1973, Farid and associates (44) reported a significant increase in T and a proportionate reduction of B rosette in 17 patients with untreated Grave's disease and 16 with Hashimoto's thyroiditis as compared with 24 normal and eight goiter controls. In 1975, six publications later, they (143) had to announce a retraction because further studies by them and by other investigators could not repeat the earlier results. Despite variations and lack of standardization of the test systems, some consistent deviations of T-lymphocyte and B-lymphocyte counts have been reported. T lymphocytes were quantitatively decreased in patients with carcinoma of the brain, breast, head and neck, liver, lung and urologic organs and with malignant melanoma. In general, there is a marked decrease of T cells with increasing stage of disease and a return of T cells to normal level after successful therapy. Cellular immunity is depressed, often lasting for years after localized radiation therapy, whether or not the thymus is included in the treatment field...

Animals