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BACKGROUND: The US Food and Drug Administration (FDA) has expanded the use of surrogate markers in drugs approved for oncology/hematology indications. This has likely resulted in a greater number of approvals and possibly drugs coming to market faster, but it is unknown whether these drugs also improve overall survival (OS) for patients taking them. METHODS: We sought to estimate the percentage of oncology drugs that have shown to improve OS in a cross-sectional analysis of US FDA oncology drug approvals (2006-2023). We searched for OS data in registration trials and the peer-reviewed literature. RESULTS: We found 392 oncology drug approvals. Eighty-seven (22%) drug approvals were based on OS, 147 drug approvals were later tested for OS benefit (38% of all approvals and 48% of drugs approved on a surrogate), and 130 (33%) have yet to be tested for OS benefit. Of the 147 drug approvals later tested for OS, 109 (28% of all approvals and 74% of drugs later tested for OS) have yet to show OS benefit, whereas 38 (10% of all approvals and 26% of drugs later tested for OS benefit) were later shown to have OS benefit. In total, 125 out of 392 (32%) drugs approved for any indication have been shown to improve OS benefit at some point, and 267 (68%) have yet to show approval. CONCLUSION: About 32% of all oncology drug approvals have evidence for an improvement in OS. Higher standards are needed in drug regulation to ensure that approved drugs are delivering better patient outcomes, specifically in regards to survival.

BackgroundBone biomarkers are strongly prognostic for overall survival (OS) in men with castration-resistant prostate cancer but not fully established for hormone-sensitive prostate cancer (HSPC).ObjectiveBone biomarkers in HSPC were prospectively evaluated as part of a phase 3 study of androgen deprivation therapy ± the CYP17 inhibitor orteronel.Design, setting, and participantsPatients were randomly divided into training (n = 316) and validation (n = 633) sets. Recursive partitioning and Cox proportional hazard models were employed.Outcome measurements and statistical analysisBone resorption (C-telopeptide and pyridinoline) and bone formation markers (C-terminal collagen propeptide and bone alkaline phosphatase) were assessed from patient sera.Results and limitationsOf 1279 men, 949 had evaluable baseline bone biomarkers. Optimal cutoffs were identified to define elevated levels of each of the four biomarkers (all p

Long noncoding RNAs (lncRNAs) are crucial regulators of biological processes such as transcription interference and activation, chromatin remodeling, and mRNA translation. Uncontrolled gene expression could result from various epigenetic modifiers, like lncRNAs. So, this study aimed to evaluate the expression profiles of lncRNA GIAT4RA, lncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 in lung cancer. The current study included lung cancer patients (n = 50), patients with chronic inflammatory diseases (n = 30), and healthy volunteers (n = 20). The expression of blood genes and the concentration of serum neuron-specific enolase were determined by real-time PCR and electrochemiluminescence immunoassay, respectively. The receiver operating characteristic and Kaplan-Meier analyses assess the sensitivity of genes as diagnostic and prognostic biomarkers, respectively. LncRNA GIAT4RA and lncRNA AATBC were upregulated, while lncRNA Sirt1-AS was significantly downregulated in all patients compared to the control group. SMARCB1 expression was significantly downregulated in chronic inflammatory patients, while in those with lung cancer, it showed an insignificant difference. The expression of lncRNA GIAT4RA and lncRNA AATBC was significantly related to the stage of lung cancer. The survival analyses showed that lower lncRNA Sirt1-AS was linked to lung cancer patients' poorer disease-free survival and overall survival. Differences in lncRNA GIAT4RA, lncRNA AATBC, and lncRNA Sirt1-AS expression were detected in all patients. The consequent abnormal expression of lncRNAs could be crucial in lung cancer development. LncRNA GIAT4RA, lncRNA AATBC, and lncRNA Sirt1-AS may be utilized as promising diagnostic biomarkers. LncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 may be valuable prognostic biomarkers for lung cancer. [ABSTRACT FROM AUTHOR]

Lowering the levels of the cellular prion protein (PrPC) is widely considered a promising strategy for the treatment of prion diseases. Building on work that established immediate spatial proximity of PrPC and Na+, K+-ATPases (NKAs) in the brain, we recently showed that PrPC levels can be reduced by targeting NKAs with their natural cardiac glycoside (CG) inhibitors. We then introduced C4'-dehydro-oleandrin as a CG with improved pharmacological properties for this indication, showing that it reduced PrPC levels by 84% in immortalized human cells that had been differentiated to acquire neural or astrocytic characteristics. Here we report that our lead compound caused cell surface PrPC levels to drop also in other human cell models, even when the analyses of whole cell lysates suggested otherwise. Because mice are refractory to CGs, we explored guinea pigs as an alternative rodent model for the preclinical evaluation of C4'-dehydro-oleandrin. We found that guinea pig cell lines, primary cells, and brain slices were responsive to our lead compound, albeit it at 30-fold higher concentrations than human cells. Of potential significance for other PrPC lowering approaches, we observed that cells attempted to compensate for the loss of cell surface PrPC levels by increasing the expression of the prion gene, requiring daily administration of C4'-dehydro-oleandrin for a sustained PrPC lowering effect. Regrettably, when administered systemically in vivo, the levels of C4'-dehydro-oleandrin that reached the guinea pig brain remained insufficient for the PrPC lowering effect to manifest. A more suitable preclinical model is still needed to determine if C4'-dehydro-oleandrin can offer a cost-effective complementary strategy for pushing PrPC levels below a threshold required for long-term prion disease survival. [ABSTRACT FROM AUTHOR]

Background: PD-1/PD-L1 inhibitors (PI) have shown promising results in both neoadjuvant and adjuvant therapies for resectable non-small cell lung cancer (NSCLC). However, substantial evidence from large-scale studies is still lacking for their use in the perioperative setting (neoadjuvant plus adjuvant). This meta-analysis aims to evaluate the integration of perioperative PI (PPI) with neoadjuvant chemotherapy for resectable NSCLC. Methods: To identify appropriate randomized controlled trials (RCTs), we thoroughly explored six different databases. The primary endpoint was survival, while the secondary measures included pathological responses and adverse events (AEs). Results: Six RCTs involving 2941 patients were included. The PPI group significantly improved overall survival (OS) (hazard ratio [HR]: 0.62 [0.51, 0.77]), event-free survival (EFS) (HR: 0.57 [0.51, 0.64]), pathological complete response (risk ratio [RR]: 5.81 [4.47, 7.57]), and major pathological response (RR: 2.60 [1.77, 3.82]). Benefits in EFS were seen across all subgroups. OS rates at 12–48 months and EFS rates at 6–48 months were higher in the PPI cohort. Furthermore, the advantages in OS and EFS increased with prolonged survival times. The PPI group also exhibited higher rates of surgery and R0 resections. However, the PPI group experienced more grade 3–5 AEs, serious AEs, and treatment discontinuations due to AEs. Conclusions: The integration of perioperative PI with neoadjuvant chemotherapy can significantly improve survival and pathological responses for resectable NSCLC. However, the increased incidence of grade 3–5 AEs must be carefully evaluated. [ABSTRACT FROM AUTHOR]

Lung transplantation (LTx) is a well-known treatment for end-stage lung disease. This study aimed to report the incidence of cancer after LTx and long-term outcome among lung transplant recipients with a pretransplant diagnosis of cancer. Patients who underwent LTx between 1990–2016 were included in the study. Detection of cancer was obtained by cross-checking the study population with the Swedish Cancer Registry and the Cause-of-Death registry. A total of 614 patients were followed for a median of 5.1 years. In all, 159 malignancies were diagnosed. The excess risk of cancer or standardized incidence ratio (SIR) following LTx was 5.6-fold compared to the general Swedish population. The most common malignancies were non-melanoma skin cancer (NMSC) (SIR 76.5 (95%CI 61.7–94.8); non-Hodgkin lymphoma (SIR 23.5, 95%CI 14.8–37.2); and lung cancer (SIR 8.89, 95%CI 5.67–13.9). There was no significant difference in overall survival between those with and without a history of cancer before LTx (p = 0.56). In total, 159 malignancies were identified after LTx, which was a 5.6-fold higher relative to the general population. A history of previous cancer yields similar survival in selected recipients, compared to those without cancer prior to LTx. [ABSTRACT FROM AUTHOR]

Heart transplant patients have an increased risk of developing cancer. Patients who underwent HTx between 1985 and 2017 were included. Detection of cancer was obtained by cross-checking the study population with the Swedish Cancer-Registry and the Causeof-Death-Registry. A total of 664 patients were followed for a median of 7.7 years. In all, 231 malignancies were diagnosed in 138 patients. Compared to the general population the excess risk of cancer following HTx was 6.2-fold calculated as the standardized incidence ratio (SIR) and 2.9-fold after exclusion of non-melanoma skin cancer (NMSC). The most common malignancies were NMSC, non-Hodgins lymphoma, and lung cancer. There was no significant difference in overall survival between those with and without a history of cancer before HTx (p = 0.53). During a median follow-up of 7.7 years, 19% of HTx recipients developed cancer, 6.2-fold higher relative to the general population, and 2.9-fold higher when excluding NMSC. Risk factors for malignancies (excluding NMSC) included previous smoking, hypertension and prolonged ischemic time; and for NMSC, increasing age, seronegative CMV-donors, and azathioprine. A previous cancer in selected recipients results in similar survival compared to those without cancer prior to HTx. [ABSTRACT FROM AUTHOR]

Background: This study aimed to identify prognostic factors for survival and develop a prognostic nomogram to predict the survival probability of elderly patients with lower-grade gliomas (LGGs). Methods: Elderly patients with histologically confirmed LGG were recruited from the Surveillance, Epidemiology, and End Results (SEER) database. These individuals were randomly allocated to the training and validation cohorts at a 2:1 ratio. First, Kaplan-Meier survival analysis and subgroup analysis were performed. Second, variable screening of all 13 variables and a comparison of predictive models based on full Cox regression and LASSO-Cox regression analyses were performed, and the key variables in the optimal model were selected to construct prognostic nomograms for OS and CSS. Finally, a risk stratification system and a web-based dynamic nomogram were constructed. Results: A total of 2307 elderly patients included 1220 males and 1087 females, with a median age of 72 years and a mean age of 73.30 ± 6.22 years. Among them, 520 patients (22.5%) had Grade 2 gliomas, and 1787 (77.5%) had Grade 3 gliomas. Multivariate Cox regression analysis revealed four independent prognostic factors (age, WHO grade, surgery, and chemotherapy) that were used to construct the full Cox model. In addition, LASSO-Cox regression analysis revealed five prognostic factors (age, WHO grade, surgery, radiotherapy, and chemotherapy), and a LASSO model was constructed. A comparison of the two models revealed that the LASSO model with five variables had better predictive performance than the full Cox model with four variables. Ultimately, five key variables based on LASSO-Cox regression were utilized to develop prognostic nomograms for predicting the 1-, 2-, and 5-year OS and CSS rates. The nomograms exhibited relatively good predictive ability and clinical utility. Moreover, the risk stratification system based on the nomograms effectively divided patients into low-risk and high-risk subgroups. Conclusion: Variable screening based on LASSO-Cox regression was used to determine the optimal prediction model in this study. Prognostic nomograms could serve as practical tools for predicting survival probabilities, categorizing these patients into different mortality risk subgroups, and developing personalized decision-making strategies for elderly patients with LGGs. Moreover, the webbased dynamic nomogram could facilitate its use in the clinic. [ABSTRACT FROM AUTHOR]

Background: It remains unclear whether erythrocyte sedimentation rate (ESR) accurately predicts prognosis during treatment and how ESR changes. Objectives: We aimed to assess the predictive values of ESR as a prognostic factor of Mycobacterium avium complex pulmonary disease (MAC-PD) while on anti-mycobacterial treatment and its changes according to the treatment responses. Design: This study is a retrospective cohort study. Methods: This study included patients aged 18 years or older who initiated anti-mycobacterial treatment for MAC-PD at Seoul National University Hospital between January 1, 2009 and March 31, 2022. ESR should be measured at least twice, with a minimum interval of 3 months, during the initial 12 months from the commencement of antibiotic treatment. A mixed linear regression and Cox proportional-hazards models were used to analyze repeated ESR data and the association with patient survival. Results: Of a total of 825 patients who initiated antibiotic treatment for MAC-PD, 369 patients were included in the analysis. Increased levels of ESR during the treatment process were associated with a higher risk of mortality (adjusted hazard ratio 1.03; 95% confidence interval, 1.02–1.03) after adjusting age, sex, comorbidities, presence of cavity, acid-fast bacilli smear positivity, and culture conversion at 12 months. During the treatment, ESR at 12 months of treatment significantly decreased compared to baseline ESR in both the culture-converted and not-converted groups, which was categorized based on whether the culture conversion was achieved within the 12 months after treatment initiation. Conclusion: ESR predicted mortality during treatment and decreased over time, regardless of treatment outcomes. Our results underscore the importance of administering anti-mycobacterial treatment even in patients who did not achieve a microbiological cure. [ABSTRACT FROM AUTHOR]

Background: Soft tissue sarcoma (STS) are heterogeneous and rare tumors, and few studies have explored predicting the prognosis of patients with STS. The Lung Immune Prognostic Index (LIPI), calculated based on baseline serum lactate dehydrogenase (LDH) and the derived neutrophils/(leukocytes minus neutrophils) ratio (dNLR), was considered effective in predicting the prognosis of patients with pulmonary cancer and other malignancies. However, the efficacy of the LIPI in predicting the prognosis of patients with STS remains unclear. Methods: This study retrospectively reviewed patients with STS admitted to our center from January 2016 to January 2021. Their hematological and clinical characteristics were collected and analyzed to construct the LIPI specific to STS. The correlations between various predictive factors and overall survival (OS) were examined using Kaplan-Meier and Cox regression analyses. Independent risk factors for OS were identified using univariate and multivariate analyses. Finally, a LIPI nomogram model for STS was established. Results: This study enrolled 302 patients with STS, of which 87 (28.9%), 162 (53.6%), and 53 (17.5%) were classified into three LIPI-based categories: good, moderate, and poor, respectively (P < 0.0001). The time-dependent operator curve showed that the LIPI had better prognostic predictive ability than other hematological and clinical characteristics. Univariate and multivariate analyses identified the Fédération Nationale des Centres de Lutte Contre le Cancer grade (FNCLCC/G), tumor size, and LIPI as independent risk factors. Finally, a nomogram was constructed by integrating the significant prognostic factors. Its C-index was 0.72, and the calibration curve indicated that it could accurately predict the three- and five-year OS of patients with STS. The decision and clinical impact curves also indicated that implementing this LIPI-nomogram could significantly benefit patients with STS. Conclusion: This study explored the efficacy of the LIPI in predicting the prognosis of 302 patients with STS, classifying them into three categories to evaluate the prognosis. It also reconstructed a LIPI-based nomogram to assist clinicians in predicting the three- and five-year OS of patients with STS, potentially enabling timely intervention and customized management. [ABSTRACT FROM AUTHOR]

Background and objective: The EV-302 trial found that the combination of enfortumab vedotin (EV) with pembrolizumab significantly improved survival for patients with metastatic urothelial carcinoma (mUC). However, given the high cost of the drugs, there is a need to assess its value by considering both efficacy and cost. This study assessed the cost-effectiveness of EV plus pembrolizumab as a first-line treatment for patients with mUC from the perspective of U.S. payers. Methods: A Markov model was developed to compare the lifetime costs and effectiveness of EV in combination with pembrolizumab with chemotherapy in the treatment of mUC patients from U.S. payer perspective. Life-years (LYs), quality-adjusted LYs (QALYs), and lifetime costs were estimated. One-way, twoway and probabilistic sensitivity analyses were conducted to evaluate model uncertainty. Additionally, subgroup analyses were performed. Results: Compared to chemotherapy, the combination of EV and pembrolizumab provided an additional 2.10 LYs and 1.72 QALYs, at an incremental cost of $962,240.8 per patient. The incremental cost-effectiveness ratio (ICER) is $558,973 per QALY. Subgroup analysis indicated that patients ineligible for cisplatin treatment had a lower ICER compared to those who were eligible for cisplatin. Conclusions: From the perspective of US payers, at a willingness-to-pay threshold of $150,000 per QALY, the combination of EV and pembrolizumab is estimated to not be cost-effective compared to traditional chemotherapy in the first-line treatment of mUC patients. [ABSTRACT FROM AUTHOR]

Introduction: Hemophagocytic lymphohistiocytosis (HLH) is a rare, complicated and life threatening hyperinflammatory syndrome that maybe triggered by various infectious agents, malignancies and rheumatologic disorders. Early diagnosis and identification of the cause is essential to initiate appropriate treatment and improve the quality of life and survival of patients. The recently developed Onco-mNGS technology can be successfully used for simultaneous detection of infections and tumors. Methods: In the present study, 92 patients with clinically confirmed HLH were etiologically subtyped for infection, tumor and autoimmunity based on CNV and microbial data generated by Onco-mNGS technology, and a predictive model was developed and validated for the differential diagnosis of the underlying disease leading to secondary HLH. Furthermore, the treatment outcomes of patients with HLH triggered by EBV infection and non-EBV infection were evaluated, respectively. Results: The current study demonstrated that the novel Onco-mNGS can identify the infection and malignancy-related triggers among patients with secondary HLH. A random forest classification model based on CNV profile, infectious pathogen spectrum and blood microbial community was developed to better identify the different HLH subtypes and determine the underlying triggers. The prognosis for treatment of HLH patients is not only associated with CNV, but also with the presence of pathogens and non-pathogens in peripheral blood. Higher CNV burden along with frequent deletions on chromosome 19, higher pathogen burden and lower non-pathogenic microbes were prognosis factors that significantly related with unfavorable treatment outcomes. Discussion: Our study provided comprehensive knowledge in the triggers and prognostic predictors of patients with secondary HLH, which may help early diagnosis and appropriate targeted therapy, thus improving the survival and prognosis of the patients. [ABSTRACT FROM AUTHOR]

Aims Methods Results Conclusion This study aimed to investigate exposure–response (ER) relationships in efficacy and safety for mirvetuximab soravtansine (MIRV) which is a first‐in‐class antibody–drug conjugate approved for the treatment of folate receptor‐α‐positive platinum‐resistant ovarian cancer.MIRV was characterized in 4 clinical studies. Exposure metrics for MIRV, its payload and a metabolite were derived from a population pharmacokinetic model. Efficacy was analysed in MIRV‐treated patients (n = 215) in a recent confirmatory, randomized, chemotherapy‐controlled MIRASOL trial and safety was evaluated in patients pooled across all 4 clinical studies (n = 757).In the MIRASOL trial (NCT04209855), MIRV demonstrated significant benefit over chemotherapy in progression‐free survival (PFS), objective response rate (ORR) and overall survival (OS). The most common adverse events (AEs) included ocular disorders, peripheral neuropathy and pneumonitis. For PFS, ORR and OS, the trough concentration of MIRV was the predictor consistently found in ER models for efficacy. In contrast, for ocular AEs (as well as the time to onset of ocular AEs) and peripheral neuropathy, the area under the concentration–time curve (AUC) of MIRV was identified as the exposure metric in ER models for safety. No exposure parameters were found to correlate with pneumonitis. Covariates in all models did not show clinically meaningful impact on efficacy or safety. Logistic regression models for ORR and ocular AEs based on AUC of MIRV were used to justify the clinical dose regimen approved for MIRV.The trough concentration of MIRV correlated with efficacy whereas the AUC of MIRV was associated with major AEs. The ER relationships supported the selected therapeutic dose regimen. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusion Limited information is available regarding the impact of sarcopenia on the prognosis of antiangiogenic therapy in individuals with advanced non‐small cell lung cancer (NSCLC). This study primarily sought to examine the prognostic significance of sarcopenia in individuals with advanced NSCLC undergoing antiangiogenic therapy.We retrospectively enrolled all patients who met the inclusion and exclusion criteria from 2019 to 2021 at Nantong University Hospital. Patients were grouped according to the presence or absence of sarcopenia. After propensity score matching (PSM), progression‐free survival (PFS), overall survival (OS), and adverse event rates were compared between the two groups. Factors associated with prognosis were screened using univariate and multivariate analyses.A total of 267 patients were included, with a total of 201 matched at baseline after PSM (77 in the sarcopenia group and 124 in the non‐sarcopenia group). The sarcopenia group had lower PFS (p = 0.043) and OS (p = 0.011) than the non‐sarcopenia group and a higher incidence of adverse events (p = 0.044). Multivariate analysis suggested that sarcopenia is an independent prognostic risk factor for OS in advanced NSCLC patients receiving antiangiogenic therapies (p = 0.009). Results of subgroup analyses showed some differences in the impact of sarcopenia on survival prognosis in populations with different characteristics.Patients with advanced NSCLC with comorbid sarcopenia exhibit a worse prognosis when treated with antiangiogenic therapy, and preventing and ameliorating sarcopenia may lead to better survival outcomes in patients with advanced NSCLC. [ABSTRACT FROM AUTHOR]

Background: Lung adenocarcinoma (LUAD) is a common type of malignant tumor with therapeutic challenges. Cancer-associated fibroblasts (CAFs) promote LUAD growth and metastasis, regulate the tumor immune response, and influence tumor treatment responses and drug resistance. However, the molecular mechanisms through which CAFs control LUAD progression are largely unknown. In this study, we aimed to determine the correlations between CAF-related genes and overall survival (OS) in patients with LUAD. Methods: We acquired the gene expression data and clinical information of 522 patients with LUAD patients from The Cancer Genome Atlas (TCGA) and 442 patients with LUAD from the Gene Expression Omnibus (GEO) databases. CAF infiltration levels were assessed using the Microenvironment Cell Population (MCP) counter, the Estimating the Proportions of Immune and Cancer cells (EPIC) algorithm, and Tumor Immune Dysfunction and Exclusion (TIDE) scores. A CAF-related gene network was constructed using the Weighted gene co-expression network analysis (WGCNA). Based on the CAF-related genes, univariate Cox regression and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analyses were performed to identify prognostic genes. Gene expression levels within the prognostic model were validated using the Cancer Cell Line Encyclopedia (CCLE) databases and Western blotting. Results: Our results demonstrated that high CAF scores were associated with lower survival rates in patients with LUAD. Gene modules that were highly correlated with high CAF scores were closely associated with tissue characteristics and extracellular matrix structures in LUAD. In addition, correlations between CAF scores and responses to immunotherapy and chemotherapy were observed. Finally, we found that SNAI2 expression was higher in lung cancer tissues than in normal tissues. Conclusion: Deepening our understanding of the influence of CAFs on tumor progression and treatment response at the molecular level can aid the development of more effective therapeutic strategies. This study provides important insights into the functional mechanisms of action of CAFs in LUAD and highlights their clinical implications. [ABSTRACT FROM AUTHOR]

Background: Hypoxia, a condition where there is a lack of oxygen, is known to play a role in cancer progression. Objective: This study investigates the correlation between HIF1A gene-altered expression and hypoxia in Bangladeshi breast cancer (BC) cases and TCGA_BC datasets. Design: This case-control study compares BC cases to healthy controls to understand the relationship between gene changes and cancer. Method: This study used advanced analysis methods to examine the transcriptional landscape of BC, and quantitatively assessed its correlation using integrated multi-omics analysis. Results: In Bangladeshi BC cases, the T allele of HIF1A rs1154946 correlates notably (P -value <.001) with BC incidence. ELISA results confirmed a significant association (P -value <.005) between elevated HIF1A expression and BC-related hypoxia. Bioinformatics eQTL analysis validated the correlation between increased HIF1A expression and rs11549465 T allele (P -value <.01). Structural analyses suggested that rs11549465 (P582S) mutation may decrease protein stability (ΔΔG-value: −1.24 kcal/mole), potentially affecting HIF1A function. HIF1A enrichment analysis in BC underscores strong associations with oxygen levels, hypoxia, metabolic processes, apoptosis, and programed cell death (P -value <.001). Transcriptomic data demonstrated a robust correlation (P -value <.0001) between HIF1A expression and copy-number alterations, mutations, and abnormal methylation. Altered HIF1A expression showed strong negative correlations (P -value <.00001) with methylation and the expression of the ER (ESR1), in Whites. Survival analysis revealed marked differences in overall survival linked to high and low HIF1A expression (P -value <.00001). Furthermore, HIF1A expression significantly correlated (P -value <.000001) with hypoxia, TMB, MSI, and immune infiltration by CD8+ T cells, neutrophils, dendritic, and macrophages, providing deeper insights into the BC microenvironment. Conclusion: Thus, the HIF1A gene could serve as a promising biomarker for breast cancer progression, control, and survival across ethnicities, emphasizing its role in disease development and regulation. Plain Language Summary: Hypoxia is a known indicator of cancer progression. This study investigates the correlation between HIF1A gene-altered expression and hypoxia in Bangladeshi breast cancer (BC) cases and TCGA_BC datasets. This case-control study examined the transcriptional landscape of breast cancer, and quantitatively assessed its correlation using integrated multi-omics analysis. In Bangladeshi BC cases, the T allele of HIF1A rs1154946 correlates notably (P -value <.001) with BC incidence. ELISA results confirmed a significant association (P -value <.005) between elevated HIF1A expression and BC-related hypoxia. Bioinformatics eQTL analysis validated the correlation between increased HIF1A expression and rs11549465 T allele (P -value <.01). Structural analyses suggested that rs11549465 (P582S) mutation may decrease protein stability (ΔΔG-value: –1.24 kcal/mole), potentially affecting HIF1A function. HIF1A enrichment analysis in BC underscores strong associations with oxygen levels, hypoxia, metabolic processes, apoptosis, and programed cell death (P -value <.001). Transcriptomic data demonstrated a robust correlation (P -value <.0001) between HIF1A expression and copy-number alterations, mutations, and abnormal methylation. Altered HIF1A expression showed strong negative correlations (P -value <.00001) with methylation and the expression of the ER (ESR1), in Whites. Survival analysis revealed marked differences in overall survival linked to high and low HIF1A expression (P -value <.00001). Furthermore, HIF1A expression significantly correlated (P -value <.000001) with hypoxia, TMB, MSI, and immune infiltration by CD8+ T cells, neutrophils, dendritic, and macrophages, providing deeper insights into the BC microenvironment. Thus, the HIF1A gene could serve as a promising biomarker for breast cancer progression, control, and survival across ethnicities, emphasizing its role in disease development and regulation. [ABSTRACT FROM AUTHOR]

Background: Angiogenesis inhibitors targeting VEGF, or its receptors have consistently produced disappointing clinical outcomes in breast cancer. Therefore, there is an urgent need to explore alternative angiogenic pathways in breast cancer. This study aimed to describe the gene expression of pivotal pro-angiogenic genes in breast cancer and to further analyze the associations with the clinicopathologic tumor features, prognostic factors, and overall survival. Such findings would expand the understanding of the role of different angiogenic pathways in breast cancer pathogenesis and identify patients at risk of more aggressive disease who could be eligible for intense treatment regimens. Additionally, exploring angiogenic pathways helps identify new potential drug targets for breast cancer. Methods: The mRNA expression levels for eight pro-angiogenic genes [VEGFA, HGF, FGF1, FGF2, ANGPT1, ANGPT2, PDGFA, and PDGFB] were obtained from the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) dataset available at cBioPortal public domain. Pertinent demographic and tumor information were retrieved. Results: VEGFA and ANGPT2 genes had the highest expression levels with average mRNA log intensities of 7.18±0.7 and 7.11±0.53, respectively. VEGFA expression was not correlated with the expression of other pro-angiogenic genes, the clinicopathologic tumor features, and the overall survival of patients. FGF1, ANGPT1, and PDGFA mRNA levels were negatively correlated with the age of patients at diagnosis. The expression of FGF1 and FGF2 correlated inversely with tumor size and the Nottingham Prognostic Index (p = 0.03 and p = 0.002, respectively). Expression of HGF was significantly associated with advanced tumor stage (p<0.05). Expression of ANGPT1 and ANGPT2 was associated with hormone receptor-negative status and the non-luminal subtypes. PDGFB expression was significantly higher in patients with high-grade disease and HER2-positive status. Patients with high expression status of ANGPT2 and PDGFB had significantly reduced overall survival compared to those with low expression levels of these genes (p = 0.004 and p = 0.0001, respectively). Conclusions: In this dataset of patients with breast cancer, the expression levels of 8 different pro-angiogenic genes revealed remarkable differences in terms of their association with clinicopathologic tumor characteristics and prognosis. The expression of ANGPTs and PDGFs was associated with adverse tumor features, worse prognosis, and reduced survival in patients. Targeting ANGPTs and PDGF pathways could provide new insights for effective anti-angiogenic drugs in breast cancer. [ABSTRACT FROM AUTHOR]

Background: Tri-combination therapy based on hepatic arterial infusion chemotherapy (HAIC) of infusion fluorouracil, leucovorin, and oxaliplatin (FOLFOX-HAIC) plus immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs) for the locally advanced hepatocellular carcinoma (HCC) patients have been proven effective. However, whether it was best for these HCC patients to start with the most potent therapeutic pattern was still under debate. This retrospective study evaluated the efficacy and safety of FOLFOX-HAIC combined with systemic therapies in the patterns of sequential and concurrent schedules. Methods: This real-world study included 117 unresectable HCC patients who initially received either FOLFOX-HAIC monotherapy (HAIC group, n = 44) or concurrent ICIs and TKIs (ConHAIC group, n = 73) from March 2020 and June 2022, during the period of FOLFOX-HAIC monotherapy in HAIC group, patients in the HAIC group (n = 30) experienced progressive disease (PD) would have their treatment pattern converted from the FOLFOX-HAIC monotherapy to the combination of FOLFOX-HAIC plus ICIs and TKIs sequentially (SeqHAIC group). The progression-free survival (PFS) and overall survival (OS), as primary outcomes, were compared between patients in the SeqHAIC and ConHAIC groups. Results: The median follow-up time of the SeqHAIC group was 24.92 months (95% CI, 12.74–37.09 months) and of the ConHAIC group was 17.87 months (95% CI, 16.85–18.89 months) and no significant difference was observed in both PFS (HR, 1.572; 95% CI, 0.848–2.916; p = 0.151) and OS (HR, 1.212; 95% CI, 0.574–2.561; p = 0.614) between the SeqHAIC and the ConHAIC groups. As for the tumor responses, there was no significant difference between the two groups regarding tumor responses, overall response rates (p = 0.658) and disease control rates (p = 0.641) were 50.0%, 45.2%, and 83.3%, 89.0% for the SeqHAIC and the ConHAIC groups, respectively. Conclusion: Our study revealed that sequential systemic ICIs and TKIs in combination with FOLFOX-HAIC provides similar long-term prognosis and better tolerability compared to concurrent therapy for locally advanced HCC patients. Prospective studies with a larger sample size and longer follow-up are required to validate these findings. [ABSTRACT FROM AUTHOR]

Background: Lung cancer accounts for a significant proportion of cancer-related deaths in China, with the majority of the cases being classified as non-small cell lung cancer (NSCLC). The study aimed to investigate the expression of serum SNHG22 in patients with NSCLC, and its molecular mechanism and prognostic potential in NSCLC. Methods: Admitted 125 NSCLC patients were selected for the study, along with 125 healthy individuals in the same period. The levels of SNHG22 and miR-128-3p were quantified via RT-qPCR. Correlations between the SNHG22 level and the pathological characteristics of the NSCLC patients were investigated through the application of the chi-square test. The targeting relationship between SNHG22 and miR-128-3p was predicted by online database and confirmed by luciferase activity. The prognostic ability of SNHG22 in NSCLC was assessed by Kaplan-Meier curves and multivariate Cox analysis. Results: SNHG22 was upregulated in NSCLC and directly targeted miR-128-3p. The rate of overall survival is lower in patients with high-SNHG22 group compared to those with low-SNHG22 group. Silencing SNHG22 impaired the functionality of cells, which was restored by miR-128-3p inhibitor. SNHG22 stands as an independent predictor of poor prognosis in NSCLC patients. Conclusion: The overexpression of SNHG22 in NSCLC is related to lymph node metastasis, TNM stage and patient survival, which is expected to be a prognostic predictor of NSCLC patients. [ABSTRACT FROM AUTHOR]

Objectives: This study was performed to investigate the detection rate of EGFR T790M mutation by repeated rebiopsy, to identify the clinical factors related to repeated rebiopsy, and to assess survival outcomes according to the methods and numbers of repeated rebiopsies in patients with lung adenocarcinoma who received sequential osimertinib after failure of previous 1st or 2nd generation EGFR-tyrosine kinase inhibitors. Methods: This retrospective study included patients with advanced-stage lung adenocarcinoma who were confirmed to have EGFR T790M mutation and to have received osimertinib from January 2020 to February 2021 at Samsung Medical Center. The presence of T790M mutation was assessed based on either plasma circulating tumor DNA (ctDNA) or tissue specimens. Results A total of 443 patients underwent rebiopsy, with 186 (42.0%) testing positive for the T790M mutation by the sixth rebiopsy. The final analysis included 143 eligible patients. Progression-free survival was not significantly different in terms of the methods (tissue: 13.3 months, 95% confidence interval [CI]: [9.4, 23.5] vs plasma: 11.1 months, 95% CI: [8.1, 19.4], p = 0.33) and numbers (one: 13.4 months, 95% CI: [9.4, 23.5] vs two or more: 11.0 months, 95% CI: [8.1, 14.8], p = 0.51) of repeated rebiopsies. Longer overall survival (OS) was found in patients in whom T790M was detected by tissue specimens rather than by plasma ctDNA (2-year OS rate: 81.7% for tissue vs 63.9% for plasma, p = 0.0038). Factors related to the lower numbers of rebiopsies included age and bone metastasis. Factor associated with T790M detection in tissue rather than in plasma was pleural metastasis, while advanced tumor stage was related to T790M confirmation in plasma rather than in tissue. Conclusions: Repeated rebiopsy for T790M detection in patients with NSCLC can increase the detection rate of the mutation. Detection of T790M by plasma ctDNA might be related to poor survival outcomes. [ABSTRACT FROM AUTHOR]

Background: To explore the association between radiation after surgery and the 5-year overall survival (OS) and 5-year cancer-specific survival (CSS) in patients with Wilms tumor. Methods: In this cohort study, 1564 participants were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The univariate and multivariable COX proportional risk model as well as competitive risk model were used to explore the covariates associated with 5-year OS and 5-year CSS of patients with Wilms tumor and the correlation between radiation after surgery and 5-year OS or 5-year CSS of patients with Wilms tumor, respectively. The Kaplan-Meier curves of participants were plotted. Results: The median follow-up was 126.00 (84.00, 178.00) months. Patients receiving surgery had higher 5-year survival probability than those not receiving surgery, while participants receiving radiation after surgery showed poor 5-year survival than those not. After adjusting for covariates including age and SEER stage, increased risk of 5-year overall mortality in patients with Wilms tumor [hazard ratio (HR) = 1.62, 95% confidence interval (CI): 1.10–2.41). After the adjustment for confounding factors including age, SEER stage and ethnicity, increased risk of 5-year cancer-specific mortality of patients with Wilms tumor was observed in those receiving radiation after surgery (HR = 1.77, 95%CI: 1.13–2.79). Conclusion: Radiation after surgery was associated with poor prognosis of patients with Wilms tumor, which indicated that the clinicians should assess whether the patient was suitable for using radiation after surgery. [ABSTRACT FROM AUTHOR]

Background: Breast cancer (BC) is a great clinical challenge because of its aggressiveness and poor prognosis. Zinc Finger Protein 64 (ZFP64), as a transcriptional factor, is responsible for the development and progression of cancers. This study aims to investigate whether ZFP64 regulates stem cell-like properties and tumorigenesis in BC by the glycolytic pathway. Results: It was demonstrated that ZFP64 was overexpressed in BC specimens compared to adjacent normal tissues, and patients with high ZFP64 expression had shorter overall survival and disease-free survival. The analysis of the association of ZFP64 expression with clinicopathological characteristics showed that high ZFP64 expression is closely associated with N stage, TNM stage, and progesterone receptor status. Knockdown of ZFP64 suppressed the viability and colony formation capacity of BC cells by CCK8 and colony formation assays. The subcutaneous xenograft models revealed that ZFP64 knockdown reduced the volume of formatted tumors, and decreased Ki67 expression in tumors. The opposite effects on cell proliferation and tumorigenesis were demonstrated by ZFP64 overexpression. Furthermore, we suggested that the stem cell-like properties of BC cells were inhibited by ZFP64 depletion, as evidenced by the decreased size and number of formatted mammospheres, the downregulated expressions of OCT4, Nanog, and SOX2 proteins, as well as the reduced proportion of CD44+/CD24− subpopulations. Mechanistically, glycolysis was revealed to mediate the effect of ZFP64 using mRNA-seq analysis. Results showed that ZFP64 knockdown blocked the glycolytic process, as indicated by decreasing glycolytic metabolites, inhibiting glucose consumption, and reducing lactate and ATP production. As a transcription factor, we identified that ZFP64 was directly bound to the promoters of glycolysis-related genes (ALDOC, ENO2, HK2, and SPAG4), and induced the transcription of these genes by ChIP and dual-luciferase reporter assays. Blocking the glycolytic pathway by the inhibition of glycolytic enzymes ENO2/HK2 suppressed the high proliferation and stem cell-like properties of BC cells induced by ZFP64 overexpression. Conclusions: These data support that ZFP64 promotes stem cell-like properties and tumorigenesis of BC by activating glycolysis in a transcriptional mechanism. [ABSTRACT FROM AUTHOR]

Purpose: This study utilizes a meta-analytic approach to investigate the effects of cryoablation and robot-assisted partial nephrectomy on perioperative outcomes, postoperative renal function, and oncological results in patients. Methods: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Four electronic databases (PubMed, Embase, Web of Science, and the Cochrane Library database) were systematically searched to identify relevant studies published in English up to November 2023. The primary outcomes were perioperative results, complications, postoperative renal function and oncologic outcomes. Review Manager 5.4 was used for this analysis. Results: This study included a total of 10 studies comprising 2,011 patients. Compared to RAPN (Robot-Assisted Partial Nephrectomy), the CA (Cryoablation) group had a shorter hospital stay [MD -1.76 days; 95% CI -3.12 to -0.41; p = 0.01], less blood loss [MD -104.60 ml; 95% CI -152.58 to -56.62; p < 0.0001], and fewer overall complications [OR 0.62; 95% CI 0.45 to 0.86; p = 0.004], but a higher recurrence rate [OR 7.83; 95% CI 4.32 to 14.19; p < 0.00001]. There were no significant differences between the two groups in terms of operative time, minor complications (Clavien-Dindo Grade 1–2), major complications (Clavien-Dindo Grade 3–5), changes in renal function at 12 months post-operation, RFS (Recurrence-Free Survival), and OS (Overall Survival). Conclusion: The evidence provided by this meta-analysis indicates that the therapeutic effects of Cryoablation (CA) are similar to those of Robot-Assisted Partial Nephrectomy (RAPN) in terms of perioperative outcomes and renal function. However, the recurrence rate of tumors treated with CA is significantly higher. Systematic review registration: The study has been registered on the International Prospective Register of Systematic Reviews (PROSPERO: CRD42023465846). [ABSTRACT FROM AUTHOR]

To enhance the efficacy of radiotherapy (RT) in human papillomavirus (HPV)‐negative head and neck squamous cell carcinoma (HNSCC), we explored targeting ferroptosis, a regulated cell death process. We developed a gene signature associated with ferroptosis using Cox proportional hazard modeling in HPV‐negative HNSCC patients who underwent RT. This ferroptosis‐related gene signature (FRGS) was a significant predictor of overall survival and recurrence‐free survival in HPV‐negative HNSCC patients who received RT. Subtype B of the FRGS, characterized by decreased expression of ferroptosis inducers [nuclear receptor coactivator 4 (NCOA4) and natural resistance‐associated macrophage protein 2 homolog/divalent metal transporter 1 (NRAMP2/DMT1)] and increased expression of suppressors [phospholipid hydroperoxide glutathione peroxidase (GPX4) and ferritin heavy chain (FTH1)], was associated with poorer prognosis, potentially indicating the inhibition of ferroptosis. Furthermore, our in vitro and in vivo studies demonstrated that treatment with statins, such as atorvastatin and simvastatin, induced ferroptosis and sensitized radioresistant HNSCC cells to irradiation, improving radiosensitivity and potentially enhancing the response to RT. Additionally, in xenograft models, the combination of statins and RT led to a significant reduction in tumor initiation. These findings provide valuable insights for enhancing treatment and improving prognosis in HPV‐negative HNSCC by targeting ferroptosis and utilizing statins to sensitize tumors to RT‐induced cell death. [ABSTRACT FROM AUTHOR]

Background: Chimeric antigen receptor (CAR) T-cell therapy (CAR-T therapy) has demonstrated significant efficacy in the ZUMA-2 study. After regulatory approvals, several clinical trials and real-world studies on CAR-T therapy for relapsed or refractory mantle cell lymphoma (R/R MCL) were conducted. However, data on clinical safety and efficacy are inconsistent. In this study, we aimed to conduct a systematic analysis of the effectiveness and safety of CAR-T therapy across a wider and more representative cohort of patients with R/R MCL. Methods: We performed a systematic review and meta-analysis of studies on patients with R/R MCL who received CAR-T cell therapy. Data were extracted and consolidated, with primary focus on the evaluation of safety and efficacy outcome measures. This study has not been registered with PROSPERO. Results: This meta-analysis identified and included 16 studies with 984 patients. The pooled estimate for overall response rate (ORR) was 89%; complete remission (CR) rate was 74%. The 6-month and 12-month progression-free survival (PFS) rates were 69% and 53%, respectively, while the overall survival (OS) rates were 80% and 69%, respectively. Cytokine release syndrome (CRS) of grade 3 or higher was observed in 8% of patients, whereas neurotoxicity of grade 3 or higher was observed in 22% of patients. The risk of bias was assessed as low in 9 studies and moderate in 7 studies. Conclusion: CAR-T therapy exhibited promising efficacy and manageable adverse reactions in patients with R/R MCL. [ABSTRACT FROM AUTHOR]

The detection and tracking of metastatic cancer over the lifetime of a patient remains a major challenge in clinical trials and real-world care. Advances in deep learning combined with massive datasets may enable the development of tools that can address this challenge. We present NYUMets-Brain, the world's largest, longitudinal, real-world dataset of cancer consisting of the imaging, clinical follow-up, and medical management of 1,429 patients. Using this dataset we developed Segmentation-Through-Time, a deep neural network which explicitly utilizes the longitudinal structure of the data and obtained state-of-the-art results at small (<10 mm3) metastases detection and segmentation. We also demonstrate that the monthly rate of change of brain metastases over time are strongly predictive of overall survival (HR 1.27, 95%CI 1.18-1.38). We are releasing the dataset, codebase, and model weights for other cancer researchers to build upon these results and to serve as a public benchmark. Cancer is a dynamic disease, with one of its deadly complications being metastatic brain tumors. Here, the authors present a large, multimodal, longitudinal dataset of metastatic cancer, assembled from real world data for cancer research and artificial intelligence (AI) model development. They train time-dependent AI models, and find that novel, dynamic biomarkers exist that are predictive of systemic disease control and overall survival. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to develop nomogram predicting overall survival (OS) of patients with peritoneal mesothelioma (PeM) using data from Surveillance, Epidemiology, and End Results (SEER) database and a Chinese institution. Methods: 1,177 PeM patients from the SEER database were randomized into training and internal validation cohorts at a 7:3 ratio. An external validation cohort consisting of 109 patients was enrolled from a Chinese institution. Nomogram was constructed based on variables identified through multivariate Cox regression analysis and evaluated by consistency indices (C-index), calibration plots, and receiver operating characteristic (ROC) curves. Patients were stratified into different risk categories, and Kaplan-Meier survival analysis was used to assess OS differences among these groups. Results: The nomogram, incorporating age, gender, histological type, T stage, M stage, and surgical status, demonstrated strong predictive capability with C-index values of 0.669 for the training cohort, 0.668 for the internal validation cohort, and 0.646 for the external validation cohort. The nomogram effectively stratified patients into high-risk and low-risk groups, with the high-risk group exhibiting significantly poorer OS (P < 0.05). Multivariate analysis confirmed gender, age, surgical intervention, and M stage as independent prognostic factors (P < 0.05). Specifically, male gender, older age, and unspecified M stage were linked to worse outcomes, while surgical intervention was associated with improved survival. Conclusion: The nomogram provide a reliable tool for predicting the survival in PeM patients, facilitating more informed treatment decisions. Key independent prognostic factors include gender, age, surgical intervention, and M stage. [ABSTRACT FROM AUTHOR]

Background: Nivolumab is an effective treatment option for advanced gastric cancer (GC). This study aimed to conduct a systematic review of existing literature to investigate the relationship between immune-related adverse events (irAEs) and the prognosis of patients with GC treated with nivolumab. Methods: We comprehensively searched four online literature databases: the Cochrane Central Register of Controlled Trials, PubMed, Embase, Web of Science, until 27 March 2024. The outcome measures of interest included: overall survival (OS), progression-free survival (PFS), hazard ratio (HR), median survival ratio (MSR), objective response rate (ORR), and disease control rate (DCR). Results: A total of six studies, including 393 patients, met the eligibility criteria. The OS (pooled hazard ratio [HR] = 0.4, 95% confidence interval [CI]: 0.3-0.6, p < 0.05) and PFS (pooled HR = 0.5, 95% CI: 0.4-0.6, p < 0.05) of patients with irAEs were significantly superior to individuals without irAEs. The MSR for OS and PFS were 2.5 (95% CI: 1.5-4.1, p < 0.05) and 2.8 (95% CI: 1.9-4.1, p < 0.05), respectively. Regarding the ORR and DCR, we found that the development of irAEs was significantly associated with higher rates: patients with irAEs had an ORR of 24.7% compared to 6.4% in those without irAEs (risk ratio [RR] = 2.6, p < 0.05), and a DCR of 86.0% compared to 30.3% in those without irAEs (RR = 3.2, p < 0.05). Conclusion: There appears to be a significant correlation between the development of irAEs and the better survival benefits with nivolumab in patients with GC. [ABSTRACT FROM AUTHOR]

In the United States, Black individuals have higher rates of cancer mortality than any other racial group. Here, we examine chromosome copy number changes in cancers from more than 1800 self-reported Black patients. We find that tumors from self-reported Black patients are significantly more likely to exhibit whole-genome duplications (WGDs), a genomic event that enhances metastasis and aggressive disease, compared to tumors from self-reported white patients. This increase in WGD frequency is observed across multiple cancer types, including breast, endometrial, and lung cancer, and is associated with shorter patient survival. We further demonstrate that combustion byproducts are capable of inducing WGDs in cell culture, and cancers from self-reported Black patients exhibit mutational signatures consistent with exposure to these carcinogens. In total, these findings identify a type of genomic alteration that is associated with environmental exposures and that may influence racial disparities in cancer outcomes. In the United States, Black patients have higher rates of cancer mortality, but the sources of such disparities remain poorly understood. Here, the authors analyze genomic data from large-scale patient cohorts and find that cancers from self-reported Black patients are significantly more likely to exhibit whole genome duplications; they also explore a potential link to environmental exposures. [ABSTRACT FROM AUTHOR]

Podocalyxin-like protein (PODXL) is known to originate from tumor cells in several cancers; however, which cell type it is expressed in, whether and how it may contribute to tumor progression after radiotherapy or chemoradiotherapy in cervical cancer (CC) remain unknown. In this study, we investigated these issues using a cohort of 180 immune stain data, single-cell RNA sequencing (scRNA-seq) data of 29,453 cells, and bulk RNA sequencing data from 187 cervical cancer samples treated with radiotherapy or chemoradiotherapy. ScRNA-seq analysis revealed that PODXL was predominantly expressed in tumor endothelial cells (TECs) of CC, which was corroborated by tumor section staining. Moreover, the PODXL expression level was negatively associated with progression-free survival and overall survival of 180 CC patients receiving radiotherapy or chemoradiotherapy (both p < 0.001). Furthermore, compared with PODXLlow TECs, PODXLhigh TECs exhibited a diminished anti-tumor immune response and enhanced tumor-promoting features characteristics. In addition, PODXL over-expression was also found to be negatively associated with immune response and indicated poor survival in bulk RNA sequencing data of CC treated with radiotherapy or chemoradiotherapy. These results underscore the role of PODXL in CC, suggesting it as a promising target and prognostic marker for patients treated with radiotherapy or chemoradiotherapy. [ABSTRACT FROM AUTHOR]

Objective: Colorectal cancer (CRC) is characterized by high incidence and mortality rates worldwide. In this study, we present a novel aging-related gene-based risk scoring system (Aging score) as a predictive tool for CRC prognosis. Method: We identified prognostic aging-related genes using univariate Cox regression analysis, revealing key biological processes in CRC progression. We then constructed a robust prognostic model using LASSO and multivariate Cox regression analyses, including four critical genes: CAV1, FOXM1, MAD2L1, and WT1. Result: The Aging score demonstrated high prognostic performance across the training, testing, and entire TCGA-CRC datasets, proving its reliability. High-risk patients identified by the Aging score had significantly shorter overall survival times than low-risk patients, indicating its potential for patient stratification and personalized treatment. The Aging score remained an independent prognostic factor compared to age, gender, and tumor stage. Additionally, the score was linked to tumor mutation burden and microsatellite instability, indicators of immune checkpoint inhibitor response. High-risk patients also showed higher estimated IC50 values for common chemotherapeutic drugs, suggesting possible treatment resistance. Conclusion: Our findings highlight the Aging score's potential to enhance clinical decision-making and pave the way for personalized CRC management. [ABSTRACT FROM AUTHOR]

Objective: High-risk neuroblastoma patients often have poor outcomes despite multi-treatment options. The risk stratification of high-risk MYCN-not-amplified (HR-MYCN-NA) patients remains difficult. This study aims to identify a gene set signature that can help further stratify HR-MYCN-NA patients for a potential personalized therapeutic strategy. Methods: Three microarrays and one single-cell RNA sequence dataset were acquired and analyzed. Firstly, the prognostic-related genes (PRGs) in HR-MYCN-NA tumor cells were identified using TARGET-NB and GSE137804 datasets. Then, the prognostic model was established by LASSO-Cox regression, and verified in external cohort (GSE49710, GSE45547). Moreover, a time-dependent receiver operating characteristic curve (ROC) and area under the ROC (AUC) was used to assess survival prediction. A nomogram was established to predict the 1-, 3- and 5-year overall survival (OS) of HR-MYCN-NA patients. Results: In the training set, a five-PRGs signature, which include GAL, GFRA3, MARCKS, PSMD13, and ZNHIT3 genes, was identified and successfully stratified HR-MYCN-NA patients into ultra-high risk (UHR) and high-risk (HR) subtypes (HR = 4.29, P < 0.001). ROC curve analysis confirmed its predictive power (AUC = 0.74–0.82), suggesting a good predictive efficacy. Consistently, high-risk scores also predicted worse OS (HR = 2, P = 0.033) in the external validation dataset (AUC = 0.67–0.71). Moreover, the overall C-index of the nomogram was 0.75 (P < 0.001), which indicated good agreement between the observed and predicted survival rates. Further integrating the five PRGs signature with clinical factors, these 5 gene signature (HR = 4.45, P < 0.001) and tumor grade (HR = 4.15, P = 0.02) were found to be independent prognostic factors for HR-MYCN-NA patients. Conclusion: The novel five PRGs signature could well predict the survival of HR-MYCN-NA patients, which may provide constructive information for these subsets. [ABSTRACT FROM AUTHOR]

Background: Endometrial cancer (EC) tissues express CYP7B1, but its association with prognosis needs to be investigated. Methods: Immunohistochemistry and image analysis software were used to assess CYP7B1 protein expression in paraffin-embedded endometrial tumor sections. Associations between CYP7B1 and clinical factors were tested with the Wilcoxon rank-sum test. Kaplan-Meier curves were employed to describe survival, and differences were assessed using the log-rank test. Cox regression analysis was used to assess the association between CYP7B1 expression and the prognosis of patients with EC. Results: A total of 307 patients were enrolled with an average age of 52.6 ± 8.0 years at diagnosis. During the period of follow-up, 46 patients (15.0%) died, and 29 (9.4%) suffered recurrence. The expression of CYP7B1 protein is significantly higher in the cytoplasm than in the nucleus (P < 0.001). Patients aged < 55 years (P = 0.040), ER-positive patients (P = 0.028) and PR-positive patients (P < 0.001) report higher levels of CYP7B1 protein. Both univariate (HR = 0.41, 95% CI: 0.18–0.90, P = 0.025) and multivariate (HR = 0.35, 95%CI:0.16–0.79, P = 0.011) Cox regression analyses demonstrate that high CYP7B1 protein expression predicts longer overall survival (OS). When considering only ER-positive patients (n = 265), CYP7B1 protein expression is more strongly associated with OS (HR = 0.20,95%CI:0.08–0.52, P = 0.001). The 3-year OS and 5-year OS in the low-CYP7B1 subgroup are 81.6% and 76.8%, respectively; while in the high-CYP7B1 subgroup are 93.0% and 92.0%, respectively (P = 0.021). Conclusions: High CYP7B1 protein expression predicted longer OS, suggesting that it may serve as an important molecular marker for EC prognosis. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to compare the therapeutic effect of radiotherapy (RT) plus systemic therapy (ST) with RT alone in patients with simple brain metastasis (BM) after first-line treatment of limited-stage small cell lung cancer (LS-SCLC). Methods: The patients were treated at a single center from January 2011 to January 2022. BM only without metastases to other organs was defined as simple BM. The eligible patients were divided into RT alone (monotherapy arm) and RT plus ST (combined therapy arm). Univariate and multivariate Cox proportional hazards analyses were used to examine factors associated with increased risk of extracranial progression. After 1:1 propensity score matching analysis, two groups were compared for extracranial progression-free survival (ePFS), PFS, overall survival (OS), and intracranial PFS (iPFS). Results: 133 patients were identified and 100 were analyzed (monotherapy arm: n = 50, combined therapy arm: n = 50). The ePFS of the combined therapy was significantly longer than that of the monotherapy, with a median ePFS of 13.2 months (95% CI, 6.6–19.8) in combined therapy and 8.2 months (95% CI, 5.7–10.7) in monotherapy (P = 0.04). There were no statistically significant differences in PFS (P = 0.057), OS (P = 0.309), or iPFS (P = 0.448). Multifactorial analysis showed that combined therapy was independently associated with better ePFS compared with monotherapy (HR = 0.617, P = 0.034); more than 5 BMs were associated with worse ePFS compared with 1–5 BMs (HR = 1.808, P = 0.012). Conclusions: Compared with RT alone, combined therapy improves ePFS in patients with simple BM after first-line treatment of LS-SCLC. Combined therapy and 1–5 BMs reduce the risk of extracranial recurrence. [ABSTRACT FROM AUTHOR]

Objective: We explored the preliminary value of abnormal spindle-like microcephaly- associated (ASPM) protein in aiding precise risk sub-stratification, prediction of metabolic heterogeneity, and prognosis of neuroblastoma (NB). Methods: This retrospective study enrolled newly diagnosed patients with NB who underwent positron emission tomography/computed tomography (PET/CT) before therapy, and tumor tissue was collected after surgery. Regression analysis was used to evaluate ASPM expression and risk stratification in patients with NB. The expression levels of ASPM, clinical information, and PET/CT text features were analyzed using univariate and multivariate survival analyses. Finally, a correlation analysis was used to explore the relationship between ASPM and tumor metabolic heterogeneity. Results: There were 48 patients with NB in this study (35 boys and 13 girls); 22 patients progressed and 16 died. We found that the level of ASPM was highly associated with risk stratification (OR = 5.295, 95%IC: 1.348–41.722, p = 0.021). Patients with NB and high-risk stratification with high ASPM level had a lower 3-year progression-free survival (PFS) rate (14.28%) and 1-year PFS rate (57.14%) than those with low ASPM level (57.14% and 93.75%, respectively). Using univariate and multivariate survival analyses, this study revealed that ASPM and LDH were independent risk factors for both PFS and overall survival (OS), whales GLZLM_ZLNU was only a risk factor for PFS. Conclusion: ASPM holds promise as a novel biomarker for refining current risk stratification and predicting prognosis in neuroblastoma. Elevated levels of ASPM, LDH, and GLZLM_ZLNU may be associated with poorer survival outcomes in neuroblastoma patients. [ABSTRACT FROM AUTHOR]

Portal vein tumor thrombosis (PVTT) is one of the common complications of HCC and represents a sign of poor prognosis. PVTT signifies advanced liver cancer, deteriorating liver function, and heightened susceptibility to intrahepatic dissemination, systemic metastasis, and complications related to portal hypertension. It is important to seek novel strategies for PVTT arising from HCC. Portal vein tumor thrombus (PVTT) in hepatocellular carcinoma (HCC) represents a worse liver function, less treatment tolerance, and poor prognosis. This study aimed to investigate the diagnostic value of the combination of the DeRitis ratio (AST/ALT) and alkaline phosphatase (ALP) index (briefly named DALP) in predicting the occurrence risk of PVTT in patients with HCC. We performed a retrospective study enrolling consecutive patients with HCC from January 2017 to December 2020 in Hebei Medical University Third Hospital. ROC analysis was performed to estimate the predictive effectiveness and optimal cut-off value of DALP for PVTT occurrence in patients with HCC. Kaplan–Meier analysis revealed the survival probabilities in each subgroup according to the risk classification of DALP value. Univariate and multivariate Logistics regression analyses were applied to determine the independent risk for poor prognosis. ROC analysis revealed that the optimal cut-off value for DALP was 1.045, with an area under the curve (AUC) of 0.793 (95% CI 0.697–0.888). Based on the DALP classification (three scores: 0–2) with distinguishable prognoses, patients in the score 0 group had the best prognosis with a 1-year overall survival (OS) of 100%, whereas score 2 patients had the worst prognosis with 1-year OS of 72.4%. Similarly, there was a statistically different recurrence-free survival among the three groups. Besides, this risk classification was also associated with PVTT progression in HCC patients (odds ratio [OR] 5.822, P < 0.0001). Pathologically, patients in the score 2 group had more advanced tumors considering PVTT, extrahepatic metastasis, and ascites than those in score 0, 1 groups. Moreover, patients with a score of 2 had more severe hepatic inflammation than other groups. Combination of DeRitis ratio and ALP index presented a better predictive value for PVTT occurrence in patients with HCC, contributing to the tertiary prevention. [ABSTRACT FROM AUTHOR]

The systemic immune-inflammatory index (SII) has been identified as an independent prognostic factor for multiple diseases. However, the impact of SII on outcome of acute-on-chronic liver failure (ACLF) is scant. A retrospective study enrolled patients with ACLF treated with artificial liver support system. Restricted cubic spline (RCS) (knots at the 10th, 50th, and 90th percentiles) and Cox proportional hazards models were applied to investigate the relationship between SII and 90-day transplant-free survival and overall survival in patients with ACLF. A total of 258 patients with ACLF were included. The 90-day transplant-free survival rate and overall survival rate were 58.5% and 66.3%. The SII was 465.5 (277.3–804.4). Adjusted RCS models showed linear exposure–response relationship between SII and 90-day transplant-free survival (P for overall < 0.001, P for nonlinear = 0.154) and 90-day overall survival (P for overall < 0.001, P for nonlinear = 0.103), and adjusted Cox models confirmed the positive relationship. Compared with patients with SII < 480, patients with ≥ 480 had more serious condition, lower 90-day transplant-free survival rate (46.8% vs. 69.7%, adjusted HR (95% CI) for transplant or death: 2.13 (1.40–3.23), P < 0.001), and lower 90-day overall survival rate (56.3% vs. 75.8%; adjusted HR (95% CI) for death: 2.26 (1.42–3.61), P = 0.001). Stratified Cox models suggested no potential modifiers in the relationship between SII and 90-day transplant-free survival. Our findings suggested SII was positively associated with poor short-term prognosis of ACLF. [ABSTRACT FROM AUTHOR]

Background: To investigate the prognostic differences following the achievement of a pathological complete response (pCR) through neoadjuvant chemotherapy across different molecular subtypes of breast invasive ductal carcinoma. Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) were identified for patients undergoing neoadjuvant chemotherapy who achieved pathological complete response for invasive ductal carcinoma of the breast between 2010 and 2019.Comparing the clinicopathological characteristics of patients across different molecular subtypes. Univariate and Cox multivariate analyses were utilized to identify independent predictors of overall survival (OS) and cancer-specific survival (CSS). The Kaplan–Meier method is used to compare OS and CSS among different molecular subtypes. After propensity score matching, subgroup analysis results were presented through forest plots. Results: This study included 9,380 patients diagnosed with invasive ductal carcinoma, who were categorized into four molecular subtypes: 2,721 (29.01%) HR + /HER-2 + , 1,661 (17.71%) HR + /HER2-, 2,082 (22.20%) HR-/HER2 + , and 2,916 (31.08%) HR-/HER-2-. HR + /HER-2- subgroup exhibited a significantly higher proportion of patients under 50 years old than the other subtype groups (54.67% vs 40.2%, 50.35% and 51.82%, p < 0.01), and had a higher N2 + N3 stage (11.2% vs 7.24%, 8.69% and 7.48%, p < 0.01). Univariate and multivariate analysis revealed that molecular subtype was the independent risk factor for OS and CSS in patients(p < 0.05). The Kaplan–Meier curves indicated that the HR + /HER-2 + subtype had the highest OS and CSS(p < 0.05). Next, were the HR-/HER-2 + and HR-/HER-2- subtypes, with the HR + /HER-2- group having the lowest OS and CSS(p < 0.05). After propensity score matching, the OS and CSS of patients in the HR + /HER-2 + group remained higher compared to HR + /HER-2- group(p < 0.05). Conclusions: Patients with invasive ductal carcinoma of different molecular subtypes exhibit varying prognoses after achieving pCR to neoadjuvant chemotherapy. Those in the HR + /HER-2- group are younger, have a higher lymph node stage, and the lowest OS and CSS, whereas patients in the HR + /HER-2 + group have the highest OS and CSS. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusion Although de novo metastatic breast cancer (dnMBC) is acknowledged as a heterogeneous disease, the current staging systems do not distinguish between patients within the M1 or stage IV category. This study aimed to refine the M1 category and prognostic staging for dnMBC to enhance prognosis prediction and guide the choice of locoregional treatment.We selected patients with dnMBC from the SEER database (2010–2019), grouping them into training (N = 8048) and internal validation (N = 3450) cohorts randomly at a 7:3 ratio. An independent external validation cohort (N = 660) was enrolled from dnMBC patients (2010–2023) treated in three hospitals. Nomogram‐based risk stratification was employed to refine the M1 category and prognostic stage, incorporating T/N stage, histologic grade, subtypes, and the location and number of metastatic sites. Both internal and external validation sets were used for validation analyses.Brain, liver, or lung involvement and multiple metastases were independent prognostic factors for overall survival (OS). The nomogram‐based stratification effectively divided M1 stage into three groups: M1a (bone‐only involvement), M1b (liver or lung involvement only, with or without bone metastases), and M1c (brain metastasis or involvement of both liver and lung, regardless of other metastatic sites). Only subtype and M1 stage were included to define the final prognostic stage. Significant differences in OS were observed across M1 and prognostic subgroups. Patients with the M1c stage benefited less from primary tumor surgery in comparison with M1a stage.Subdivision of the M1 and prognostic stage could serve as a supplement to the current staging guidelines for dnMBC and guide locoregional treatment. [ABSTRACT FROM AUTHOR]

Lung adenocarcinoma (LUAD) is the most common histological lung cancer, and it is the leading cause of cancer-related deaths worldwide. LncRNA-AL139385.1 (ENSG00000275880) is a novel lncRNA that is abnormally expressed in various cancer types including LUAD. However, the underlying biological function and potential mechanisms of AL139385.1 driving the progression of LUAD remain unclear. In this study, we investigated the role of AL139385.1 in LUAD and found that DNA hypomethylation was positively correlated with AL139385.1 expression in LUAD. Moreover, we uncover that the expression of AL139385.1 in LUAD tissues was significantly higher than that of AL139385.1 expression in adjacent normal tissues. Kaplan-Meier survival analysis showed that patients with higher AL139385.1 expression correlated with adverse overall survival and progression-free survival. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) value of AL139385.1 was 0.808. Correlation analysis showed that AL139385.1 expression was associated with immune infiltration in LUAD. We also found that AL139385.1 was upregulated in LUAD cancer tissues and cell lines. Knockdown of AL139385.1 significantly inhibited cell proliferation and migration abilities of LUAD. Finally, we constructed a ceRNA network that includes hsa-miR-532-5p and four mRNAs (GALNT3, CYCS, EIF5A, and ITGB4) specific to AL139385.1 in LUAD. Subsequent Kaplan-Meier survival analysis suggested that polypeptide Nacetylgalactosaminyltransferase 3 (GALNT3), cytochrome c, somatic (CYCS), eukaryotic translation initiation factor 5A (EIF5A), and integrin subunit beta 4 (ITGB4), were potential prognostic biomarkers for patients with LUAD. In conclusion, this finding provides possible mechanisms underlying the abnormal upregulation of AL139385.1 as well as a comprehensive view of the AL139385.1-mediated competing endogenous RNAs (ceRNA) network in LUAD, thereby highlighting its potential role in diagnosis and therapy. [ABSTRACT FROM AUTHOR]

Background: Currently, the prognosis of advanced intrahepatic cholangiocarcinoma (ICC) is poor, and the current treatmentmethods are not effective. Objective: The aim of this study was to evaluate the anticancer efficacy of chemotherapy combined with PD-1 inhibitors and tyrosine kinase inhibitors (TKIs) in patients with ICC. Methods: We retrospectively screened patients with advanced intrahepatic cholangiocarcinoma (ICC) who received chemotherapy combined with lenvatinib and PD-1. We evaluated overall survival (OS), progression-free survival (PFS), the objective response rate (ORR), the disease control rate (DCR), the tumor shrinkage rate, and safety. Results: We enrolled 95 patients with ICC and divided them into three groups with a median follow-up duration of 15.1 months. The chemotherapy group (chemo-regimen group), chemotherapy combined with immune checkpoint inhibitors (dual-regimen group), and chemotherapy combined with lenvatinib (triple-regimen group) had median OS times of 13.1 months, 20.8 months, and 39.6 months, respectively. Notably, the triple-regimen group had a significantly longer OS than did the chemo-regimen and dual-regimen groups. The chemoregimen group, dual-regimen group, and triple-regimen group reported median PFS durations of 4.8 months, 11.9 months, and 23.4 months, respectively. Both combination groups exhibited significantly longer PFS than the chemotherapyonly group (P<0.05). The ORRs of the chemo-regimen, dual-regimen, and tripleregimen groups were 18.2%, 55.5%, and 54.7%, respectively. The DCRs were 72.7%, 90%, and 96.2%, respectively, indicating significantly better outcomes in the combination therapy groups. Conclusion: The combination of chemotherapy with PD-1 inhibitors and lenvatinib demonstrates considerable efficacy and tolerability as a treatment strategy for patients with advanced ICC. [ABSTRACT FROM AUTHOR]

Background: Chimeric antigen receptor (CAR) T-cell therapy has attracted considerable attention since its recent endorsement by the Food and Drug Administration, as it has emerged as a promising immunotherapeutic modality within the landscape of oncology. This study explores the prognostic utility of [18F] Fluorodeoxyglucose positron emission tomography ([18F]FDG PET) in lymphoma patients undergoing CAR T-cell therapy. Through meta-analysis, pooled hazard ratio (HR) values were calculated for specific PET metrics in this context. Methods: PubMed, Scopus, and Ovid databases were explored to search for relevant topics. Dataset retrieval from inception until March 12, 2024, was carried out. The primary endpoints were impact of specific PET metrics on overall survival (OS) and progression-free survival (PFS) before and after treatment. Data from the studies were extracted for a meta-analysis using Stata 17.0. Results: Out of 27 studies identified for systematic review, 15 met the criteria for meta-analysis. Baseline OS analysis showed that total metabolic tumor volume (TMTV) had the highest HR of 2.66 (95% CI: 1.52-4.66), followed by Total-body total lesion glycolysis (TTLG) at 2.45 (95% CI: 0.98-6.08), and maximum standardized uptake values (SUVmax) at 1.30 (95% CI: 0.77-2.19). TMTV and TTLG were statistically significant (p < 0.0001), whereas SUVmax was not (p = 0.33). For PFS, TMTV again showed the highest HR at 2.65 (95% CI: 1.63-4.30), with TTLG at 2.35 (95% CI: 1.40-3.93), and SUVmax at 1.48 (95% CI: 1.08-2.04), all statistically significant (p ≤ 0.01). The DSUVmax was a significant predictor for PFS with an HR of 2.05 (95% CI: 1.13-3.69, p = 0.015). Conclusion: [18F]FDG PET parameters are valuable prognostic tools for predicting outcome of lymphoma patients undergoing CAR T-cell therapy. [ABSTRACT FROM AUTHOR]

Objective: To investigate the impact of SRs-related genes on the overall survival and prognosis of osteosarcoma patients through bulk and single-cell RNA-seq transcriptome analysis. Methods: In this study, we constructed a prognosis model based on serine/ arginine-rich splicing factors (SRs) and predicted the survival of osteosarcoma patients. By analyzing single-cell RNA sequencing data and applying AUCell enrichment analysis, we revealed oncogenic pathways of SRs in osteosarcoma immune cells. Additionally, we described the regulatory role of SRSF7 in pan-cancer. Results: Lasso regression analysis identified 6 key SRs-related genes, and a prognosis prediction model was established. The upregulation of these pathways revealed that SRs promote tumor cell proliferation and survival by regulating related signaling pathways and help tumor cells evade host immune surveillance. Additionally, by grouping single-cell data using AUCell, we found significant differences in T cell expression between high and low-risk groups. The analysis results indicated that the regulatory activity of SRs is closely related to T cell function, particularly in regulating immune responses and promoting immune evasion. Furthermore, SRSF7 regulates cell proliferation and apoptosis. Conclusion: SRs-related genes play a critical regulatory role in osteosarcoma. T cells are key in regulating immune responses and promoting immune evasion through SRs genes. SRSF7 is a significant gene influencing the occurrence and development of osteosarcoma. [ABSTRACT FROM AUTHOR]

Purpose: Parotid gland metastases originating from breast origin are extremely rare, with their clinical presentation, therapeutic approaches, and prognostic indicators remaining to be elucidate. Methods: A comprehensive retrospective review was conducted, analyzing the clinical characteristics and prognostic factors of 57 patients diagnosed with parotid metastasis of breast cancer in the existing literature. Notably, our study included two unique cases of patients who developed contralateral and ipsilateral parotid metastases, occurring 5 years and 32 years respectively after primary surgery. This analysis aimed to provide a deeper understanding of the disease presentation and identify potential prognostic indicators. Results: The primary clinical manifestation presented in breast cancer patients with parotid metastases was painless masses in the parotid glands, synchronously or metachronously occurred with primary breast tumors. The predominant pathological subtype among these patients was invasive ductal carcinoma. Out of the 57 patients studied, 24 (42.1%) exhibited metastases solely in the ipsilateral parotid gland, while 18 cases (31.6%) involved either the contralateral or bilateral parotid gland. Patients may solely exhibit metastasis in the parotid gland, or they may present with concurrent multiple metastases in other organs. Patients who suffered from parotid metastases, either merely or accompanied with bone-only metastasis, exhibited significantly longer overall survival (OS) rates compared to those who had concomitant metastases in other organs (1.23 ± 0.26 years vs 4.46 ± 0.77 years, P=0.046). While no statistically significant differences in OS were observed among patients presenting with metastases in the ipsilateral, contralateral, or bilateral parotid glands, a notable variance could be discerned from the Kaplan-Meier curve analysis. Additionally, no significant difference in survival was exhibited between patients with different interval of progression from primary breast sites to initial diagnosis of parotid metastases (uDF), nor for patients who were treated with surgery or palliative therapy. Conclusion: Parotid metastasis, a rare and distinctive form of breast cancer metastasis, demands particular scrutiny in patients exhibiting metastasis to multiple organs or contralateral or bilateral parotid glands. [ABSTRACT FROM AUTHOR]

Introduction: Pretreatment hemoglobin and neutrophil levels were previously reported to be important indicators for predicting the effectiveness of ipilimumab plus nivolumab (IPI + NIVO) therapy for renal cell carcinoma (RCC). Therefore, we aimed to validate this in a large external cohort. Methods: In total, 172 patients with RCC who underwent IPI + NIVO treatment at a multicenter setting were divided into three groups according to their pretreatment hemoglobin and neutrophil levels (group 1: non-anemia; group 2: anemia and low-neutrophil; and group 3: anemia and high-neutrophil). Results: Group 1 showed better survival than groups 2 and 3 (overall survival: 52.3 vs. 21.4 vs. 9.4 months, respectively; progression-free survival: 12.1 vs. 7.0 vs. 3.4 months, respectively). Discussion: In this large cohort, we validated our earlier observation that hemoglobin and neutrophil levels can be reliable predictors of the effectiveness of IPI + NIVO in advanced RCC. Thus, our approach may aid in selecting the optimal first-line therapy for RCC. [ABSTRACT FROM AUTHOR]

Purpose: Radiotherapy (RT) plays an important role in the treatment of hepatocellular carcinoma (HCC). To screen patients who benefit most from RT, a nomogram for survival prediction of RT based on a large sample of patients with HCC was created and validated. Methods: A total of 2,252 cases collected from the Surveillance, Epidemiology, and End Results (SEER) database were separated into a training or an internal validation cohort in a 7:3 ratio (n = 1,565:650). An external validation cohort of cases from our institute was obtained (n = 403). LASSO regression and Cox analyses were adopted to develop a nomogram for survival prediction. The decision curve analysis (DCA), calibration curve, and time-dependent receiver operating characteristic curves (TROCs) demonstrated the reliability of the predictive model. Results: For patients with HCC who received RT, the analyses revealed that the independent survival prediction factors were T stage {T2 vs. T1, hazard ratio (HR) =1.452 [95% CI, 1.195–1.765], p < 0.001; T3 vs. T1, HR = 1.469 [95% CI, 1.168– 1.846], p < 0.001; T4 vs. T1, HR = 1.291 [95% CI, 0.951–1.754], p = 0.101}, N stage (HR = 1.555 [95% CI, 1.338–1.805], p < 0.001), M stage (HR = 3.007 [95% CI, 2.645–3.418], p < 0.001), max tumor size (>2 and ≤5 vs. ≤2 cm, HR = 1.273 [95% CI, 0.992–1.633], p = 0.057; >5 and ≤10 vs. ≤2 cm, HR = 1.625 [95% CI, 1.246– 2.118], p < 0.001; >10 vs. ≤2 cm, HR = 1.784 [95% CI, 1.335–2.385], p < 0.001), major vascular invasion (MVI) (HR = 1.454 [95% CI, 1.028–2.057], p = 0.034), alpha fetoprotein (AFP) (HR = 1.573 [95% CI, 1.315–1.882], p < 0.001), and chemotherapy (HR = 0.511 [95% CI, 0.454–0.576], p < 0.001). A nomogram constructed with these prognostic factors demonstrated outstanding predictive accuracy. The area under the curve (AUC) in the training cohort for predicting overall survival (OS) at 6, 12, 18, and 24 months was 0.824 (95% CI, 0.803–0.846), 0.824 (95% CI, 0.802–0.845), 0.816 (95% CI, 0.792–0.840), and 0.820 (95% CI, 0.794–0.846), respectively. The AUCs were similar in the other two cohorts. The DCA and calibration curve demonstrated the reliability of the predictive model. Conclusion: For patients who have been treated with RT, a nomogram constructed with T stage, N stage, M stage, tumor size, MVI, AFP, and chemotherapy has good survival prediction ability. [ABSTRACT FROM AUTHOR]