Independent Prognostic Marker Research Articles

Prognostic value of exercise longitudinal right ventricular free wall strain in patients with sickle cell disease.

Longitudinal right ventricular free wall strain (RVFWS) has been identified as an independent prognostic marker in patients with pulmonary hypertension. Little is known however about the prognostic value of RVFWS in patients with sickle cell (SC) disease, particularly during exercise. We therefore examined the prognostic significance of RVFWS both at rest and with exercise in patients with SC disease and normal resting systolic pulmonary artery pressure (SPAP). Consecutive patients with SC disease referred for bicycle ergometer stress echocardiography (SE) were enrolled ftom July 2019 to January 2021. All patients had measurable tricuspid regurgitation velocity (TRV). Conventional echocardiography parameters, left ventricular global longitudinal strain (LVGLS), RVFWS, and ventriculoarterial coupling indices (TAPSE/SPAP and RVFWS/SPAP) were assessed at rest and peak exercise. Repeat SE was performed at a median follow-up of 2years. The cohort consisted of 87 patients (mean age was 31 ± 11years, 66% females). All patients had normal resting TRV < 2.8m/s, RVFWS and LVGLS at baseline. There were 23 (26%) patients who had peak stress RVFWS < 20%. They had higher resting and peak stressTRV andSPAP, but lower resting and peak stressTAPSE/SPAP, RVFWS/SPAP, and LVGLS as well as lower peak stresscardiac output when compared to patients with peak stressRVFWS ≥ 20% (p < 0.05). Patients with baseline peak stressRVFWS < 20% had a significant decrease in exercise performance at follow-up (7.5 ± 2.7min at baseline vs. 5.5 ± 2.8min at follow-up, p < 0.001). In the multivariate analysis, baseline peak stressRVFWS was the only independent predictor of poorer exercise performance at follow-up [odds ratio 8.2 (1.2, 56.0), p = 0.033]. Among patients with SC disease who underwent bicycle ergometer SE, a decreased baseline value of RVFWS at peak stress predicted poorer exercise time at follow-up.

Membrane Palmitoylated Protein 2 Serves as a Potential Biomarker for Colon Adenocarcinoma through Promoting CGAS-STING Pathway

This research investigated the role of Membrane Palmitoylated Protein 2 (MPP2) in colon adenocarcinoma (COAD), the third most prevalent form of colorectal cancer. Utilizing TCGA, GEPIA, and HPA datasets alongside Western blotting, we examined MPP2 expression in normal versus cancerous tissue. Kaplan-Meier plots from GEPIA indicated lower MPP2 levels in COAD patients correlating with worse overall survival (P &lt; 0.05). Moreover, MPP2 was identified as a distinct prognostic indicator for COAD and significantly associated with clinicopathological features (P &lt; 0.05), assessed via chi-square tests and Cox regression models. We further explored MPP2’s link to COAD immune cells using Cibersort, revealing its correlation with the infiltration of 8 immune cells (P &lt; 0.05). In vivo and in vitro experiments demonstrated that elevated MPP2 levels might enhance cell proliferation and migration while suppressing apoptosis. Applying Gene Set Enrichment Analysis (GSEA), we predicted MPP2’s involvement in tumor progression via the DNA sensing pathway, a finding supported by cellular studies. In summary, COAD patients exhibit decreased MPP2 expression, which inversely correlates with prognosis. MPP2 appears to influence immunosuppression and tumor progression through various mechanisms, suggesting its potential as an independent prognostic marker in COAD. Further investigation into MPP2’s implications is warranted.

Survival Outcomes and Prognostic Factors in Therapy-Related Acute Myeloid Leukemia: A SEER Database Study, 2000-2020

IntroductionWith advances in therapeutics and longer survival across different cancer spectrums, the incidence of therapy-related acute myeloid leukemia (tAML) has continued to rise. This study aims to evaluate the trend of survival outcomes and their association with sociodemographic factors in tAML over the last 20 years. MethodsWe identified tAML patients between 2000 and 2020 from the Surveillance, Epidemiology, and End Results database. Patients were divided into 4 age groups: 18-39, 40-59, 60-69, and >= 70 years, and 4 diagnostic periods: 2000-2005, 2006-2010, 2011-2015, and 2016-2020. Overall survival (OS) was compared using Kaplan Meier and log-rank methods. ResultsThe 1-year (and 5-year) OS in patients with tAML was 59.3% (33.7%), 48.2% (24.8%), 37.2% (11.1%), and 32.9% (5.5%) in age groups 18-39, 40-59, 60-69, and >=70 years, respectively. The 1-year (and 5-year) OS based on the year of diagnosis was 20.9% (13.2%), 36.8% (15.2%), 41.9% (13.88%), and 40.4% (not reached) for 2000-2005, 2006-2010, 2011-2015, and 2016-2020 respectively. Among the youngest cohort aged 18-39 years, 1-year OS was 35.7%, 57.7%, 66.7%, and 59.6%, respectively, in 4 diagnostic periods, whereas 1-year OS was 10.5%, 23.9%, 32.2%, and 36.9%, respectively, in the oldest cohort aged >=70 years. Age, year of diagnosis, and geographic location were independent prognostic markers of OS. ConclusionOur study demonstrates a significant improvement in the 1-year OS of tAML patients over the last decade, but the long-term prognosis remains dismal. Older patients continue to show improved survival in recent years with the addition of newer intensive and nonintensive options.

Analysis of methylation-driven genes for predicting the prognosis of patients with oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a highly aggressive malignancy that is characterized by early distant metastasis and poor prognosis. DNA methylation plays an important role in the etiology and pathogenesis of OSCC. This study aimed to identify methylation-driven genes through bioinformatics analysis as potential biomarkers for early diagnosis and prognostic assessment of OSCC. Methylation data, RNA sequencing (RNA-seq) data and clinical prognosis information of OSCC patients were retrieved from The Cancer Genome Atlas (TCGA) database. The R packages MethylMix were employed to analyze the correlation between methylation status and corresponding gene expression in tumor and normal tissues to obtain methylation-driven genes. Univariate Cox regression analysis was developed to further screen methylation-driven genes associated with the prognosis of OSCC patients. Subsequently, multivariate Cox regression analysis was utilized to construct a linear prognostic risk prediction model. Furthermore, a combined survival analysis integrating methylation and gene expression was performed to investigate the prognostic value. A total of 374 differentially expressed methylation-driven genes were identified. Seven methylation-driven genes (BST2, KRT15, ZNF134, NT5E, GSTA7P, NAPRT, and GOLPH3L) were found to be significantly associated with patient prognosis. Additionally, four methylation-driven genes (BST2, KRT15, ZNF134 and NAPRT) were used to construct a linear prognostic risk prediction model for OSCC patients. Furthermore, a combined Kaplan-Meier survival analysis revealed that three methylation-driven genes (ZKSCAN7, MFF, ZNF134) alone can be used as independent prognostic markers or drug targets. Our findings facilitate a better understanding of molecular mechanisms of OSCC and provide potential biomarkers of early diagnosis, precision treatment and prognosis evaluation.

Ki-67 AS A PREDICTING FACTOR OF NASOPHARYNGEAL, BREAST, AND CERVICAL CANCER: A LITERATURE REVIEW

Background: Although the exact role remains unknown, Ki-67 is vital in cell division. Ki-67 is a nuclear nonhistone protein present in all active phases of the cell cycle. It has the potential to predict the prognosis of responsiveness to radiotherapy, chemotherapy, or endocrine therapy, estimate residual risk, and predict recurrence in many types of cancer, including nasopharyngeal cancer (NPC), breast cancer (BC), and cervical cancer (CX), and be a marker for treatment efficacy. We want to review the efficacy of Ki-67 as a predicting factor for three types of cancer, including NPC, breast, and cervical cancer, from several pieces of literature. Materials and Methods: We are conducting a literature review to describe the role of Ki-67 as a predicting factor in NPC, BC, and CX. Results: Pretreatment Ki-67 is used as an independent prognostic marker in NPC, and elevated values are associated with poor prognosis. High Ki-67 expression may indicate poorer recurrence-free survival and overall survival. A high Ki-67 index significantly correlated with adverse prognostic factors. Conclusion: A high expression of Ki-67 in NPC, breast cancer, and cervical cancer is associated with poor prognosis, poorer recurrence, and overall survival rates. Ki-67 can be considered as a valuable biomarker of many cancers. Keywords: Radiotherapy, Ki-67, nasopharyngeal cancer, breast cancer, cervical cancer

Epigenetic silencing of BEND4, a novel DNA damage repair gene, is a synthetic lethal marker for ATM inhibitor in pancreatic cancer.

Synthetic lethality is a novel model for cancer therapy. To understand the function and mechanism of BEN domain-containing protein 4 (BEND4) in pancreatic cancer, eight cell lines and a total of 492 cases of pancreatic neoplasia samples were included in this study. Methylation-specific polymerase chain reaction, CRISPR/Cas9, immunoprecipitation assay, comet assay, and xenograft mouse model were used. BEND4 is a new member of the BEN domain family. The expression of BEND4 is regulated by promoter region methylation. It is methylated in 58.1% (176/303) of pancreatic ductal adenocarcinoma (PDAC), 33.3% (14/42) of intraductal papillary mucinous neoplasm, 31.0% (13/42) of pancreatic neuroendocrine tumor, 14.3% (3/21) of mucinous cystic neoplasm, 4.3% (2/47) of solid pseudopapillary neoplasm, and 2.7% (1/37) of serous cystic neoplasm. BEND4 methylation is significantly associated with late-onset PDAC (> 50 years, P < 0.01) and tumor differentiation (P < 0.0001), and methylation of BEND4 is an independent poor prognostic marker (P < 0.01) in PDAC. Furthermore, BEND4 plays tumor-suppressive roles in vitro and in vivo. Mechanistically, BEND4 involves non-homologous end joining signaling by interacting with Ku80 and promotes DNA damage repair. Loss of BEND4 increased the sensitivity of PDAC cells to ATM inhibitor. Collectively, the present study revealed an uncharacterized tumor suppressor BEND4 and indicated that methylation of BEND4 may serve as a potential synthetic lethal marker for ATM inhibitor in PDAC treatment.

Prognostic Role of Tumor-Infiltrating Lymphocytes in Oral Squamous Cell Carcinoma

BackgroundIn oral squamous cell carcinoma (OSCC), the tumor-node-metastasis (TNM) staging system is a significant factor that influences prognosis and treatment decisions for OSCC patients. Unfortunately, TNM staging does not consistently predict patient prognosis and patients with identical clinicopathological characteristics may have vastly different survival outcomes. Host immunity plays an important role in tumor progression but is not included in the TNM staging system. Tumor-infiltrating lymphocytes (TILs) are part of the host immune response that recognizes tumor cells; and the presence of TILs has emerged as potential candidates for prognostic markers for many types of cancers. The present study aims to determine the association of T cell-specific markers (CD3, CD4, CD8, and FOXP3) with clinicopathological characteristics and survival outcomes in OSCC patients. The prognostic value of CD3, CD4, and CD8 will also be evaluated based on tumor stage.MethodsTissue microarrays were constructed containing 231 OSCC cases and analyzed by immunohistochemical staining for the expression of CD3, CD4, CD8, and FOXP3. The expression scores for each marker were correlated with clinicopathological parameters and survival outcomes. The prognostic impact of CD3, CD4 and CD8 were further analyzed based on tumor stage (early or advanced).ResultsCD3, CD4, and CD8 were found to be significantly associated with both overall survival and progression-free survival using univariate analysis. However, none of these markers were found to independently predict the survival outcomes of OSCC using multivariate analysis. Only conventional factors such as nodal status, tumor differentiation and perineural invasion (PNI) were independent predictors of survival outcomes, with nodal status being the strongest independent predictor. Additionally, low CD4 (but not CD3 or CD8) expression was found to identify early-stage OSCC patients with exceptionally poor prognosis which was similar to that of advanced staged OSCC patients.ConclusionsTIL markers such as CD3, CD4, CD8, and FOXP3 can predict the survival outcomes of OSCC patients, but do not serve as independent prognostic markers as found with conventional factors (i.e. nodal status, tumor differentiation and PNI). CD4 expression may assist with risk stratification in early-stage OSCC patients which may influence treatment planning and decision making for early-stage OSCC patients.

Multifaceted roles of IKZF1 gene, perspectives from bench to bedside.

The IKZF1 gene encodes a transcription factor that belongs to the family of zinc-finger DNA-binding proteins associated with chromatin remodeling. The protein product, IKAROS, had been proved to regulate lymphopoiesis. Subsequent mouse model studies have further confirmed its regulating role in lymphopoiesis as well as in hematopoiesis; besides, it associates with immune function, certain immune disorders like common variable immunodeficiency and dysgammaglobulinemia have been proved to be associated with germline IKZF1 mutations. Dysfunction of IKAROS also bears paramount significance in leukemic transformation and alterations of IKZF1 gene predicts a poor prognosis in hematological malignancies. As an independent prognostic marker, IKZF1 has been incorporated in the risk stratification of BCP-ALL and stratification-guided therapy has also been generated. In this review, we provide a concise and comprehensive overview on the multifaceted roles of IKZF1 gene.

Effect of Serum Ionic Magnesium on Neurological Outcome in Severe Traumatic Brain Injury Patients: A Prospective Study

Abstract Background Magnesium is considered to have important role in cytotoxic and reperfusion pathways, deficiency of which may lead to secondary brain injuries; thus, hypomagnesemia is thought to be detrimental in traumatic brain injury (TBI) patients. The aim of this study was to evaluate the relationship between serum ionic magnesium level and neurological outcome in severe TBI patients. Materials and Methods Eighty-four patients with severe TBI aged between 20 and 80 years admitted within 24 hours of injury included in our study. All patients were divided into two categories on the basis of initial serum magnesium levels as low serum magnesium level and normal serum magnesium level. Data was collected on the basis of age, gender, Glasgow Coma Scale (GCS) at the time of admission, and neurological outcome evaluation done on the basis of Glasgow Outcome Scale (GOS) at the end of 6 months. Results Among the total patients, 32 patients had low serum magnesium level (&lt; 1.6 mg/dL) at the time of admission. About 87.5% patients with low serum magnesium level had poor neurological outcome as compared to 12.5% of patients (p &lt; 0.001) had good neurological outcome evaluated on the basis of GOS. Logistic regression model identified low Mg level (odds ratio = 6.593, p = 0.002) and GCS score less than 5 (odds ratio = 3.099, p = 0.028) as independent predictors of TBI. Conclusion Hypomagnesemia seems to be an independent prognostic marker in severe TBI that can lead to poorer outcomes.

Absence of orthopaedia homeobox protein (OTP) expression is associated with disease spread and adverse outcome in pulmonary carcinoid tumour patients.

Pulmonary carcinoid (PC) tumours typically have a good prognosis, although metastases occur, and the disease may progress after a long period of time. Expression of orthopaedia homeobox protein (OTP) has been recognized as a possible independent prognostic marker in PCs. Immunohistochemical (IHC) OTP expression has been associated with better prognosis, but the staining has yet to be implemented in routine clinical diagnostics. In response to this, two new monoclonal OTP antibodies were recently developed.This retrospective study included 164 PC patients operated on at Helsinki University Hospital between 1990 and 2020. Tissue microarray slides, prepared from formalin-fixed and paraffin-embedded primary tumour samples, were stained with OTP IHC using one polyclonal and two novel monoclonal antibodies.Absence of OTP expression was associated with a shorter disease-specific survival (DSS) and disease progression (p < 0.001). Patients without OTP expression had a 5-year DSS of 73-79%, whereas 5-year DSS was 91-94% with OTP expression, depending on the primary antibody. In a univariable Cox regression model, absence of OTP expression was associated with adverse outcome along with atypical histological subtype, metastatic disease, Ki-67 proliferation index > 1%, and larger tumour size. In a multivariable Cox regression model, only absence of OTP expression and lymph node involvement at the time of diagnosis were associated with risk of worse prognosis. All three antibodies showed good concordance with each other.Our findings support the role of OTP as an independent prognostic marker in PCs and applicability of IHC staining in routine clinical use with novel monoclonal antibodies.

Predictive and prognostic value of aurora kinase A combined with tumor-infiltrating lymphocytes in medullary thyroid carcinoma.

Aurora kinase A (AURKA) and tumor-infiltrating lymphocytes (TILs) are both known to play an essential role in tumorigenesis. However, the expression and prognostic value of the AURKA and TILs in medullary thyroid carcinoma (MTC) have not yet been investigated. Surgical specimens and clinical data of 137 patients diagnosed with MTC were collected. AURKA expression and TILs infiltration were quantified by immunohistochemistry and hematoxylin-eosin staining. Subsequently, the prognostic value of AURKA expression and TIL infiltration in MTC was evaluated. AURKA was highly expressed in patients with multifocal tumor, cervical lymph node metastasis, and an advanced TNM stage, indicating a high probability of recurrence. AURKA further exhibited a positive correlation with TILs (R = 0.44, P < 0.001). High expression of AURKA combined with a low numbers of TILs (AURKAhigh/TILslow) was identified as an independent prognostic factor for biochemical recurrence (odds ratio: 4.57, 95% confidence interval: 1.54-14.66, P < 0.01) and recurrence-free survival (hazard ratio: 3.64, 95% confidence interval: 1.52-8.71, P < 0.001). The combination of AURKA and TILs apparently improves the prognostic value for biochemical recurrence (area under the curve: 0.751) and structural recurrence (area under the curve: 0.836) of MTC. Notably, AURKAhigh/TILslow demonstrated a high value for prediction of distant or unresectable locoregional recurrence, with an overall accuracy of 86.9%. AURKAhigh is associated with the MTC malignancy. The combination of AURKAhigh/TILslow was identified as novel independent prognostic marker in MTC, predicting incurable disease recurrence with high accuracy.

Mortality and COVID Infection: Predictors of Mortality 10 Months after Discharge.

The long-term survival of patients hospitalized with COVID-19 and the factors associated with poorer survival months after infection are not well understood. The aims of the present study were to analyze the overall mortality 10 months after admission. 762 patients with COVID-19 disease were included. Patients underwent a complete clinical evaluation, routine laboratory analysis and chest X-ray. Data collected included demographic and clinical data, such as vascular risk factors, tobacco or alcohol use, comorbidity, and institutionalization. Ten-month mortality was 25.6%: 108 deaths occurred in-hospital, while 87 patients died after discharge. In-hospital mortality was independently related to NT-proBNP values > 503.5 pg/mL [OR = 4.67 (2.38-9.20)], urea > 37 mg/dL [3.21 (1.86-7.31)] and age older than 71 years [OR = 1.93 (1.05-3.54)]. NT-proBNP values > 503.5 pg/mL [OR = 5.00 (3.06-8.19)], urea > 37 mg/dL [3.51 (1.97-6.27)], cognitive impairment [OR = 1.96 (1.30-2.95), cancer [OR = 2.23 (1.36-3.68), and leukocytes > 6330/mm3 [OR = 1.64 (1.08-2.50)], were independently associated with long-term mortality. the risk of death remains high even months after COVID-19 infection. Overall mortality of COVID-19 patients during 10 months after hospital discharge is nearly as high as that observed during hospital admission. Comorbidities such as cancer or cognitive impairment, organ dysfunction and inflammatory reaction are independent prognostic markers of long-term mortality.

Gustave Roussy Immune score as a prognostic biomarker in patients with platinum-refractory metastatic urothelial carcinoma treated with pembrolizumab: YUSHIMA study.

This study aimed to investigate the prognostic value of the Gustave Roussy Immune score (GRIm-score) in platinum-refractory metastatic urothelial carcinoma (UC) treated with pembrolizumab. This multicenter retrospective study (YUSHIMA study) evaluated 331 patients with metastatic UC treated with pembrolizumab after platinum-based chemotherapy between January 2018 and June 2023 at 13 institutions. We collected pretreatment variables, including the GRIm-score based on serum albumin, lactate dehydrogenase, and neutrophil-to-lymphocyte ratio. The patients were divided into low and high GRIm-score groups. Prognostic factors for overall survival (OS) and progression-free survival (PFS) were determined using the multivariate Cox proportional hazard model. During the median follow-up period of 7.3months, 278 (84%) patients showed disease progression, and 223 (67%) died from any cause. Multivariate analysis revealed that the high GRIm-score group was an independent and significant adverse prognostic factor of both OS and PFS (hazard ratio, 1.65 and 1.82, respectively; both p < 0.001) along with Eastern Cooperative Oncology Group Performance Status of ≥ 2 (both p < 0.001), presence of visceral metastasis (both p < 0.001), and hemoglobin of < 9.2g/dL (p = 0.030 and p = 0.038). C-reactive protein of > 42mg/L was a significant prognostic factor for OS (p = 0.001). The GRIm-score is an independent prognostic marker for survival outcomes in patients with platinum-refractory metastatic UC treated with pembrolizumab.

Methylation of FAM110C is a synthetic lethal marker for ATR/CHK1 inhibitors in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies. An epigenetic-based synthetic lethal strategy provides a novel opportunity for PDAC treatment. Finding more DNA damage repair (DDR)-related or cell fate-related molecules with aberrant epigenetic changes is becoming very important. Family with sequence similarity 110C (FAM110C) is a cell fate-related gene and its function in cancer remains unclear. Seven cell lines, 34 cases of intraductal papillary mucinous neoplasm (IPMN), 15 cases of mucinous cystic neoplasm (MCN) and 284 cases of PDAC samples were employed. Methylation-specific PCR, western blot, CRISPR knockout, immunoprecipitation and a xenograft mouse model were used in this study. FAM110C is methylated in 41.18% (14/34) of IPMN, 46.67% (7/15) of MCN and 72.89% (207/284) of PDAC, with a progression trend from IPMN/MCN to pancreatic cancer (P = 0.0001, P = 0.0389). FAM110C methylation is significantly associated with poor overall survival (OS) (P = 0.0065) and is an independent prognostic marker for poor OS (P = 0.0159). FAM110C inhibits PDAC cells growth both in vitro and in vivo, serving as a novel tumor suppressor. FAM110C activates ATM and NHEJ signaling pathways by interacting with HMGB1. Loss of FAM110C expression sensitizes PDAC cells to VE-822 (an ATR inhibitor) and MK-8776 (a CHK1 inhibitor). FAM110C methylation is a potential diagnostic and prognostic marker in PDAC, and its epigenetic silencing sensitizes PDAC cells to ATR/CHK1 inhibitors.

Establishment and validation of a prognostic scoring model based on disulfidptosis-related long non-coding RNAs in stomach adenocarcinoma.

Stomach adenocarcinoma (STAD), a frequently occurring gastrointestinal tumour, is often detected late and has a poor prognosis. Long non-coding RNAs (lncRNAs) significantly affect tumour development. Recent studies have identified disulfidptosis as a previously unexplained form of cell death. Herein, we aimed to examine the predictive value of disulfidptosis-related lncRNA models for the clinical prognosis and immunotherapy of STAD. STAD-related transcriptomic data were obtained from The Cancer Genome Atlas (TCGA), whereas genes associated with disulfidptosis were identified from previously published papers. A risk prediction model for disulfidptosis-related lncRNAs was developed using the Cox regression and least absolute shrinkage selection algorithm methods. The accuracy of the model was confirmed using calibration curves, and the biological functions were analysed using Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA). Finally, the tumour mutation burden (TMB) and tumour immune dysfunction and exclusion (TIDE) algorithms were used to screen drugs that are sensitive to STAD. The risk prediction models were constructed using seven disulfidptosis-related lncRNAs. The validated results were consistent with the predicted ones, with significant survival differences. When combined with clinical data, the risk scores were used as independent prognostic markers. Based on the tumour mutation load, the high-risk patient group had a poorer survival rate as compared with the low-risk patient group. Further studies were conducted to understand the different groups' inconsistent responses to immune status; subsequently, relatively sensitive drugs were identified. Overall, seven markers of disulfidptosis-related lncRNAs associated with STAD were found to facilitate prognostic prediction, suggesting new ideas for immunotherapy and clinical applications.

Impact of serum iron levels on in-hospital mortality and clinical outcomes in patients with ST segment elevation myocardial infarction undergoing emergency percutaneous coronary intervention: a retrospective analysis.

Despite advances in percutaneous coronary intervention (PCI) for ST segment elevation myocardial infarction (STEMI), in-hospital mortality remains a concern, highlighting the need for the identification of additional risk factors such as serum iron levels. This study aims to assess the relationship between serum iron levels and in-hospital mortality among patients with STEMI undergoing emergency PCI. A total of 685 patients diagnosed with STEMI, treated with emergency PCI between January 2020 and June 2023, were included in this retrospective observational study. Participants were categorized based on serum iron levels into a low serum iron group (Fe <7.8 μmol/L) and a control group (Fe ≥7.8 μmol/L). Clinical and biochemical variables were compared between the groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for in-hospital mortality. The low serum iron group demonstrated significantly higher in-hospital mortality rates (9.3 vs. 1.0%, P < 0.05) compared with the control group. Multivariate logistic regression revealed that a left ventricular ejection fraction less than 40% upon admission [odds ratio (OR), 8.01; 95% confidence interval (CI), 1.230-52.173; P = 0.029], the occurrence of no-reflow during PCI (OR, 7.13; 95% CI, 1.311-38.784; P = 0.023), and serum iron levels below 7.8 μmol/L (OR, 11.32; 95% CI, 2.345-54.640; P = 0.003) were independent risk factors for in-hospital mortality. Low serum iron levels are associated with increased in-hospital mortality in patients with STEMI undergoing emergency PCI. Serum iron levels may serve as an independent prognostic marker and could inform risk stratification and therapeutic targeting in this patient population.

Interleukin-1α as a Potential Prognostic Biomarker in Pancreatic Cancer.

We assessed the prognostic role of pro-inflammatory cytokines of the IL-1 superfamily in patients with pancreatic cancer. This retrospective study was performed using two independent cohorts of patients with pancreatic cancer: the International Cancer Genome Consortium (ICGC, N = 267) cohort and The Cancer Genome Atlas (TCGA, N = 178) cohort. Univariate Cox regressions were used to identify prognosis-related pro-inflammatory cytokines of the IL-1 superfamily. Cytokines associated with outcome were included in a multivariate Cox model with relevant clinicopathological variables to identify prognostic biomarkers. IL-1α was the only pro-inflammatory cytokine of the IL-1 superfamily that was significantly associated with prognosis in both cohorts. In the training cohort (ICGC), the decile of patients with the lowest IL1A expression had better overall survival (HR = 1.99 [1.01-3.93], p = 0.05) and better relapse-free survival (HR = 1.85 [1.02-3.34], p = 0.04) than the group with the highest IL1A expression. The validation cohort (TCGA) confirmed these results: the decile with the lowest IL1A expression had better overall survival (HR = 3.00 [1.14-7.90], p = 0.03) and a lower risk of progression (HR = 3.11 [1.24-7.80], p = 0.01). IL1A is an independent prognostic marker and could be considered a potential therapeutic target in pancreatic cancer patients.

PARP1-DOT1L transcription axis drives acquired resistance to PARP inhibitor in ovarian cancer.

Poly (ADP-ribose) polymerase inhibitor (PARPi) resistance poses a significant challenge in ovarian carcinoma (OC). While the role of DOT1L in cancer and chemoresistance is acknowledged, its specific role in PARPi resistance remains unclear. This study aims to elucidate the molecular mechanism of DOT1L in PARPi resistance in OC patients. This study analyzed the expression of DOT1L in PARPi-resistant cell lines compared to sensitive ones and correlated it with clinical outcomes in OC patients. Comprehensive in vitro and in vivo functional experiments were conducted using cellular and mouse models. Molecular investigations, including RNA sequencing, chromatin immunoprecipitation (ChIP) and Cleavage Under Targets and Tagmentation (CUT&Tag) assays, were employed to unravel the molecular mechanisms of DOT1L-mediated PARPi resistance. Our investigation revealed a robust correlation between DOT1L expression and clinical PARPi resistance in non-BRCA mutated OC cells. Upregulated DOT1L expression in PARPi-resistant tissues was associated with diminished survival in OC patients. Mechanistically, we identified that PARP1directly binds to the DOT1L gene promoter, promoting transcription independently of its enzyme activity. PARP1 trapping induced by PARPi treatment amplified this binding, enhancing DOT1L transcription and contributing to drug resistance. Sequencing analysis revealed that DOT1L plays a crucial role in the transcriptional regulation of PLCG2 and ABCB1 via H3K79me2. This established the PARP1-DOT1L-PLCG2/ABCB1 axis as a key contributor to PARPi resistance. Furthermore, we discovered that combining a DOT1L inhibitor with PARPi demonstrated a synergistic effect in both cell line-derived xenograft mouse models (CDXs) and patient-derived organoids (PDOs). Our results demonstrate that DOT1L is an independent prognostic marker for OC patients. The PARP1-DOT1L/H3K79me2-PLCG2/ABCB1 axis is identified as a pivotal contributor to PARPi resistance. Targeted inhibition of DOT1L emerges as a promising therapeutic strategy for enhancing PARPi treatment outcomes in OC patients.

Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer.

This study aims to introduce an innovative multi-step pipeline for automatic tumor-stroma ratio (TSR) quantification as a potential prognostic marker for pancreatic cancer, addressing the limitations of existing staging systems and the lack of commonly used prognostic biomarkers. The proposed approach involves a deep-learning-based method for the automatic segmentation of tumor epithelial cells, tumor bulk, and stroma from whole-slide images (WSIs). Models were trained using five-fold cross-validation and evaluated on an independent external test set. TSR was computed based on the segmented components. Additionally, TSR's predictive value for six-month survival on the independent external dataset was assessed. Median Dice (inter-quartile range (IQR)) of 0.751(0.15) and 0.726(0.25) for tumor epithelium segmentation on internal and external test sets, respectively. Median Dice of 0.76(0.11) and 0.863(0.17) for tumor bulk segmentation on internal and external test sets, respectively. TSR was evaluated as an independent prognostic marker, demonstrating a cross-validation AUC of 0.61±0.12 for predicting six-month survival on the external dataset. Our pipeline for automatic TSR quantification offers promising potential as a prognostic marker for pancreatic cancer. The results underscore the feasibility of computational biomarker discovery in enhancing patient outcome prediction, thus contributing to personalized patient management.

The role of preoperative FPR and FAR in prognostic evaluation of stages II and III radical colorectal cancer: A single-center retrospective study.

The inflammatory and nutritional states of body are 2 important causes associated with the initiation and progression of colorectal cancer (CRC). The aim of this study is to investigate the prognostic evaluation value of preoperative fibrinogen-to-prealbumin ratio (FPR) and preoperative fibrinogen-to-albumin ratio (FAR) in CRC. The clinical data of 350 stages II and III patients with CRC who received radical resection were retrospectively analyzed. All patients were followed up for 5 years to observe the overall survival and disease-free survival of 5 years and analyze the relationship between preoperative FPR and FAR and prognosis of all enrolled patients. In addition, we analyzed the diagnostic and application value of combined biomarkers. This study showed high-level preoperative FPR and FAR were significantly associated with poor overall survival and disease-free survival of stages II and III patients with CRC. The elevated preoperative FPR and FAR level was significantly related to age, tumor differentiation level, TNM stage, vascular infiltration, carcinoembryonic antigen, carbohydrate antigen199, etc. The combination of FPR, FAR, neutrophil-to-lymphocyte ratio, and carbohydrate antigen199 had the maximum area under curve (AUC = 0.856, 95% CI: 0.814-0.897, Sen = 78.20%, Spe = 82.49%, P < .05) under the receiver-operating characteristics curve. The preoperative FPR and FAR have important prognostic value and they can be used as independent prognostic marker for patients with stages II and III CRC undergoing radical resection. Moreover, the combination of biomarkers could further enhance the diagnostic and prognostic efficacy of CRC.