Prognostic Indicator Research Articles

DIAGNOSIS OF CAREER READINESS AMONG SENIOR UNDERGRADUATES AND GRADUATE STUDENTS: DIAGNOSTIC TOOLS, RESULTS OF CONFIRMATORY EXPERIMENT

This study delves into the intricate landscape of career decision-making, transcending the conventional job selection paradigm to encompass a holistic understanding of oneself, an awareness of potential vocations, and insights into developmental trajectories. Conducted at Toraighyrov University in the Kazakhstan, the research engaged 310 participants, comprising 215 undergraduates and 95 graduate students. Spanning humanities and STEM fields. Key findings emphasize the critical need for tailored interventions, including a specialized career course targeting information utilization skills and self-awareness. The proposed enhancement of one-on-one career counseling sessions aims to empower students with lifelong skills for effective self-management. Employing the Career Decision-making Difficulties Questionnaire (and the Six Phases of Career Decision-making Questionnaire, the study delineates the six phases of career decision-making, shedding light on significant challenges that serve as prognostic indicators of career readiness motivation. A noteworthy finding reveals that 43% of fourth-year undergraduates and 47% of graduate students are positioned in the pivotal fourth phase, representing a fundamental competency for those embarking on their professional journeys. Furthermore, the study underscores the rarity of achieving the sixth phase, symbolizing a fully determined career choice, with only 15% of graduate-level respondents and 7% of undergraduates reaching this advanced level of decision-making prowess

Gamma-glutamyl transferase to aspartate aminotransferase ratio (GSR) predicts prognoses in patients with colorectal cancer with liver metastasis after microwave ablation

BackgroundMicrowave ablation (MWA) is widely used to eliminate colorectal liver metastases (CRLM). However, the risk of tumor recurrence is difficult to predict due to lack of reliable clinical and biological markers. Elevation of gamma-glutamyl transferase (GGT) and aspartate transaminase (AST) provides signals for liver inflammation and cancer progression. The present study evaluated the association between pre-ablation GGT to AST ratio index (GSR) and hepatic recurrence in patients with CRLM after MWA.MethodsA retrospectively analyzed 192 CRLM patients who underwent MWA from January 2013 to December 2017. Pre-ablation GSR was classified into high (≤ 2.34) or low (> 2.34) using the upper quartile value. The prognostic value of GSR and other risk factors for liver progression-free survival (LPFS) and cancer-specific survival (CSS) were evaluated by univariate and multivariate analyses.ResultsHigh GSR was significantly associated with males (P = 0.041), the presence of cholelithiasis (P = 0.012), but not pre-ablation chemotherapy (P = 0.355), which caused significantly increased levels of GGT (P = 0.015) and AST (P = 0.008). GSR showed a significant association with LPFS and CSS through univariate analysis (P = 0.002 and 0.006) and multivariate analysis (P = 0.043 and 0.037). The subgroup analysis demonstrated no interaction between GSR and all variables except for distribution in the sub-analysis of LPFS.ConclusionsOur findings suggest that the pre-ablation GSR can be considered as a promising prognostic indicator for poor prognosis of patients with CRLM underwent MWA.Trial registrationNot applicable.

Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning.

Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognostic outcomes in colorectal cancer (CRC) patients. However, extracting prognostic indicators from pathological images is challenging due to the subtle complexities of phenotypic information. We trained a weakly supervised deep learning model on data from 640 CRC patients in the prostate, lung, colorectal, and ovarian (PLCO) cancer screening trial dataset and validated it using data from 522 CRC patients in the cancer genome atlas (TCGA) dataset. We created the colorectal cancer risk score (CRCRS) to assess patient prognosis, visualized the pathological phenotype of the risk score using Grad-CAM, and employed multiomics data from the TCGA CRC cohort to investigate the potential biological mechanisms underlying the risk score. The overall survival analysis revealed that the CRCRS served as an independent prognostic indicator for both the PLCO cohort (p < 0.001) and the TCGA cohort (p < 0.001), with its predictive efficacy remaining unaffected by the clinical staging system. Additionally, satisfactory chemotherapeutic benefits were observed in stage II/III CRC patients with high CRCRS but not in those with low CRCRS. A pathomics nomogram constructed by integrating the CRCRS with the tumor-node-metastasis (TNM) staging system enhanced prognostic prediction accuracy compared with using the TNM staging system alone. Noteworthy features of the risk score were identified, such as immature tumor mesenchyme, disorganized gland structures, small clusters of cancer cells associated with unfavorable prognosis, and infiltrating inflammatory cells associated with favorable prognosis. The TCGA multiomics data revealed potential correlations between the CRCRS and the activation of energy production and metabolic pathways, the tumor immune microenvironment, and genetic mutations in APC, SMAD2, EEF1AKMT4, EPG5, and TANC1. In summary, our deep learning algorithm identified the CRCRS as a prognostic indicator in CRC, providing a significant approach for prognostic risk stratification and tailoring precise treatment strategies for individual patients.

Maximum disease diameter is associated with outcomes in stage II follicular lymphoma treated with radiation therapy alone

PurposeThe optimal management of stage II follicular lymphoma (FL) is unclear. Radiation therapy (RT) alone has been the gold standard treatment, but a proportion of patients relapse. We sought to characterize outcomes and prognostic factors for stage II FL treated with RT alone to identify a high-risk subgroup of patients who may benefit from treatment intensification. MethodsThis was a population-based, province-wide, retrospective study. Included patients had grade 1–3A, non-mesenteric, stage IIA or IIAE FL diagnosed between 1986 and 2016 and treated with curative-intent (≥20 Gy) RT alone. Results102 patients were included. Median follow-up was 10.4 years (range, 0.3–22.3). Median age was 59 years (range, 33–86). Median greatest disease diameter was 3.6 cm (range, 1.5–11.5). Freedom from progression (FFP) was 60.3% at 5 years and 40.7% at 10 years. Overall survival (OS) was 89.2% at 5 years and 81.8% at 10 years. Greatest disease diameter of >3.6 cm was associated with inferior FFP (10-year FFP 34% vs. 47%, p = 0.013) on univariable analysis and inferior FFP (hazard ratio [HR] 1.87, p = 0.019) and inferior OS (HR 2.12, p = 0.027) on multivariable analysis (MVA). Older age was associated with inferior OS (HR 1.08, unit = 1 year, p < 0.001) on MVA. Conclusions40.7% of stage II FL patients treated with RT alone remained disease-free at 10 years. Greatest disease diameter >3.6 cm was associated with inferior FFP and OS, representing a novel prognostic indicator in this population that may help in the decision-making process on whether to complement RT with systemic therapy.

Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer.

This study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC). Objective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria. A total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 (47.8%) patients based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758-0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641-0.757) and 0.665 (95% CI: 0.605-0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition. Compared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.

Prognostic Index for Liver Radiation (PILiR).

A Prognostic Index for Liver Radiation (PILiR) for improved patient selection for stereotactic liver-directed radiotherapy (SBRT) was developed. Using a large single-center database, 195 patients treated with SBRT for local control, including 66 with hepatocellular carcinoma (HCC) and 129 with metastatic liver disease, were analyzed. Only patients ineligible for alternative treatments were included. Overall survival was 11.9 months and 9.4 months in the HCC group and metastatic groups, respectively. In the combined dataset, Child-Pugh Score (CPS) (p = 0.002), serum albumin (p = 0.039), and presence of extrahepatic disease (p = 0.012) were significant predictors of early death on multivariable analysis and were included in the PILiR (total score 0 to 5). Median survival was 23.8, 9.1, 4.5, and 2.6 months for patients with 0, 1-2, 3, and 4-5 points, respectively. In the HCC dataset, CPS (p < 0.001) and gross tumor volume (p = 0.013) were predictive of early death. In the metastatic dataset, serum albumin (p < 0.001) and primary disease site (p = 0.003) were predictive of early death. The AUC for the combined, HCC, and metastatic datasets are 0.78, 0.84, and 0.80, respectively. Poor liver function (defined by CPS and serum albumin) and extrahepatic disease were most predictive of early death, providing clinically important expected survival information for patients and caregivers.

Treatment Outcomes and Prognostic Factors of Chemotherapy Combined With Radiation Therapy for Patients With Early-Stage Extranodal Natural Killer/T-Cell Lymphoma

BackgroundThis study aimed to assess the treatment outcomes, toxicity, and potential prognostic factors in patients with early stage extranodal natural killer/T-cell lymphoma treated with radiotherapy combined with chemotherapy. MethodsOne hundred and eighteen patients with Stage I/II extranodal natural killer/T-cell lymphoma who were treated with radiotherapy combined with chemotherapy were retrospectively analyzed between July 2003 and January 2019. The median dose was 50 Gy (range, 45–61.2 Gy). The Kaplan–Meier method was used to calculate progression-free survival and overall survival. The patients were scored according to their prognostic indices. ResultsThe overall and complete response rates were 93.2% and 82.2%, respectively. At a median follow-up of 43 months, the 5-year overall survival and progression-free survival rates were 73.9% and 68.4%, respectively. Adverse events of grade 3 or higher was observed in 20 patients (16.9%). Patients with primary disease in the Waldeyer's ring had poorer survival (P=0.015). Compared with anthracycline-based regimens, non-anthracycline-based regimens significantly improved the 5-year overall survival (76.6% vs. 54.8%, P=0.027) and progression-free survival (72.4% vs. 53.1%, P=0.013). After treatment, the 5-year overall survival rate was 78.6% in complete response patients versus 44.9% in non-complete response patients (P=0.003). For patients with low-and intermediate-low-risk according to the nomogram-revised risk index model, the complete response rate was 100%. When primary lesion data were added to the nomogram-revised risk index as the basis for another prognostic index (modified nomogram-revised risk index), the low-risk (zero to two risk factors) and high-risk (three or more risk factors) categories were noted (84.2% vs 62.2%, P=0.036). ConclusionPatients with early stage extranodal natural killer/T-cell lymphoma had high response rates and favorable survival rates with radiotherapy and non-anthracycline-based chemotherapy regimens. Patients who achieved complete response had better survival than those who did not. The extranodal natural killer/T-cell lymphoma-specific prognostic models may require further optimization.

Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer

BackgroundPersonalized medicine remains an unmet need in ovarian cancer due to its heterogeneous nature and complex immune microenvironments, which has gained increasing attention in the era of immunotherapy. A key obstacle is the lack of reliable biomarkers to identify patients who would benefit significantly from the therapy. While conventional clinicopathological factors have exhibited limited efficacy as prognostic indicators in ovarian cancer, multi-omics profiling presents a promising avenue for comprehending the interplay between the tumor and immune components. Here we aimed to leverage the individual proteomic and transcriptomic profiles of ovarian cancer patients to develop an effective protein-based signature capable of prognostication and distinguishing responses to immunotherapy.MethodsThe workflow was demonstrated based on the Reverse Phase Protein Array (RPPA) and RNA-sequencing profiles of ovarian cancer patients from The Cancer Genome Atlas (TCGA). The algorithm began by clustering patients using immune-related gene sets, which allowed us to identify immune-related proteins of interest. Next, a multi-stage process involving LASSO and Cox regression was employed to distill a prognostic signature encompassing five immune-related proteins. Based on the signature, we subsequently calculated the risk score for each patient and evaluated its prognostic performance by comparing this model with conventional clinicopathological characteristics.ResultsWe developed and validated a protein-based prognostic signature in a cohort of 377 ovarian cancer patients. The risk signature outperformed conventional clinicopathological factors, such as age, grade, stage, microsatellite instability (MSI), and homologous recombination deficiency (HRD) status, in terms of prognoses. Patients in the high-risk group had significantly unfavorable overall survival (p < 0.001). Moreover, our signature effectively stratified patients into subgroups with distinct immune landscapes. The high-risk group exhibited higher levels of CD8 T-cell infiltration and a potentially greater proportion of immunotherapy responders. The co-activation of the TGF-β pathway and cancer-associated fibroblasts could impair the ability of cytotoxic T cells to eliminate cancer cells, leading to poor outcomes in the high-risk group.ConclusionsThe protein-based signature not only aids in evaluating the prognosis but also provides valuable insights into the tumor immune microenvironments in ovarian cancer. Together our findings highlight the importance of a thorough understanding of the immunosuppressive tumor microenvironment in ovarian cancer to guide the development of more effective immunotherapies.

Immune cell composition and its impact on prognosis in children with sepsis

BackgroundGiven the critical role of immune cells and their responses in sepsis pathogenesis, this study aimed to evaluate the prognostic significance of various immune cell ratios in septic children through the collection and analysis of clinical data.MethodsClinical data were collected from septic children admitted to the pediatric intensive care unit (PICU) of Shenzhen Children’s Hospital between January 2019 and September 2021. The peripheral blood immune cell ratios included the neutrophil to lymphocyte ratio (NLR), the derived neutrophil to lymphocyte ratio (dNLR), the neutrophil to lymphocyte and platelet ratio (NLPR), the monocyte to lymphocyte ratio (MLR), and the platelet to lymphocyte ratio (PLR). To investigate the associations between these immune cell ratios and mortality, we utilized the locally weighted scatterplot smoothing (LOWESS) method, receiver operating characteristic (ROC) analysis, and Kaplan‒Meier (K‒M) analysis.ResultsA total of 230 septic children were enrolled in the study. When comparing the immune cell ratios between the deceased and surviving groups, all ratios except for the PLR were elevated in the deceased group. Using the LOWESS method, we observed that the MLR, NLR, dNLR, and NLPR exhibited an approximately linear association with in-hospital mortality. Among the various immune cell ratios, the NLPR exhibited the highest AUC of 0.748, which was statistically comparable to that of the Pediatric Critical Illness Score (PCIS) (0.748 vs. 0.738, P = 0.852). The NLR (0.652), MLR (0.638), and dNLR (0.615) followed in terms of AUC values. K‒M analysis revealed that children with elevated MLR, NLR, dNLR, and NLPR exhibited increased 30-day mortality.ConclusionThe predictive capacity of the NLPR is comparable to that of the PCIS, suggesting that the NLPR has potential as a robust prognostic indicator for septic children.

Prognostic value of the geriatric nutritional risk index in patients with non-metastatic clear cell renal cell carcinoma: a propensity score matching analysis

BackgroundThis study aimed to investigate the prognostic value of the geriatric nutritional risk index (GNRI) in patients with non-metastatic clear cell renal cell carcinoma (ccRCC) who underwent nephrectomy.MethodsPatients with non-metastatic ccRCC who underwent nephrectomy between 2013 and 2021 were analyzed retrospectively. The GNRI was calculated within one week before surgery. The optimal cut-off value of GNRI was determined using X-tile software, and the patients were divided into a low GNRI group and a high GNRI group. The Kaplan-Meier method was used to compare the overall survival (OS), cancer-specific survival (CSS) and recurrence-free survival (RFS) between the two groups. Univariate and multivariate Cox proportional hazard models were used to determine prognostic factors. In addition, propensity score matching (PSM) was performed with a matching ratio of 1:3 to minimize the influence of confounding factors. Variables entered into the PSM model were as follows: sex, age, history of hypertension, history of diabetes, smoking history, BMI, tumor sidedness, pT stage, Fuhrman grade, surgical method, surgical approach, and tumor size.ResultsA total of 645 patients were included in the final analysis, with a median follow-up period of 37 months (range: 1-112 months). The optimal cut-off value of GNRI was 98, based on which patients were divided into two groups: a low GNRI group (≤ 98) and a high GNRI group (> 98). Kaplan-Meier analysis showed that OS (P < 0.001), CSS (P < 0.001) and RFS (P < 0.001) in the low GNRI group were significantly worse than those in the high GNRI group. Univariate and multivariate Cox analysis showed that GNRI was an independent prognostic factor of OS, CSS and RFS. Even after PSM, OS (P < 0.05), CSS (P < 0.05) and RFS (P < 0.05) in the low GNRI group were still worse than those in the high GNRI group. In addition, we observed that a low GNRI was associated with poor clinical outcomes in elderly subgroup (> 65) and young subgroup (≤ 65), as well as in patients with early (pT1-T2) and low-grade (Fuhrman I-II) ccRCC.ConclusionAs a simple and practical tool for nutrition screening, the preoperative GNRI can be used as an independent prognostic indicator for postoperative patients with non-metastatic ccRCC. However, larger prospective studies are necessary to validate these findings.

Early recurrence as a pivotal event in nasopharyngeal carcinoma: identifying predictors and key molecular signals for survivors

PurposeThe duration of response to treatment is a significant prognostic indicator, with early recurrence (ER) often predicting poorer survival outcomes in nasopharyngeal carcinoma (NPC) survivors. This study seeks to elucidate the factors contributing to the onset of ER following radiotherapy in NPC survivors.MethodsThis investigation encompassed 2,789 newly diagnosed NPC patients who underwent radical intensity-modulated radiotherapy. Ordinal logistic regression analysis was employed to evaluate the independent predictors of earlier recurrence. A machine learning-based prediction model of NPC recurrence patterns was developed. Tumorous RNA-sequencing (in-house cohort: N = 192) and biological tipping point analysis were utilized to infer potential molecular mechanisms associated with ER.ResultsOur results demonstrated that ER within 24 months post-initial treatment was the optimal time frame for identifying early malignant progression in NPC survivors. The ER cohort (150 of 2,789, 5.38%) exhibited a notably short median overall survival of 48.6 months. Multivariate analyses revealed that male gender, T4 stage, local or regional residual disease, detectable pre- and post-radiotherapy EBV DNA, and the absence of induction chemotherapy were significant predictors of earlier recurrence. The machine learning-based predictive model further underscored the importance of tumor-related factors in NPC recurrence. Moreover, ER emerged as a pivotal stage in NPC progression, with 15 critical transition signals identified potentially associated with the negative modulation of the immune response.ConclusionsOur comprehensive analysis of NPC recurrence patterns has unveiled insights into the key factors driving ER and provided novel insights into potential early warning biomarkers and the mechanisms underlying NPC progression.

Comment on, "Creactive protein levels, the prognostic nutritional index, and the lactate dehydrogenasetolymphocyte ratio are important prognostic factors in primary central nervous system lymphoma: a singlecenter study of 223 patients".

This study by Zuo et al. (2024) investigates the prognostic significance of C-reactive protein (CRP) levels, the prognostic nutritional index (PNI), and the lactate dehydrogenase-to-lymphocyte ratio (LLR) in primary central nervous system lymphoma (PCNSL) using data from 223 patients. The research demonstrates that these markers are critical in predicting patient outcomes, offering novel insights beyond traditional prognostic models like the MSKCC and IELSG scores. Despite its strengths, the study's retrospective design and lack of validation cohort limit its generalizability. Future research should focus on validating these findings in diverse, multicenter settings and integrating these markers with existing prognostic models to improve clinical decision-making. Longitudinal studies and advanced statistical methods are recommended to further explore the interactions between these factors and their impact on patient outcomes, potentially leading to the development of targeted therapies for PCNSL.

Risk factor analysis and establishment of a predictive model for complications of elderly advanced gastric cancer with Clavien-Dindo classification ≥ II grade

BackgroundThe occurrence of complications following radical gastrectomy for gastric cancer significantly impacts patients’ quality of life. Elderly patients are susceptible to postoperative complications. This study seeks to investigate the risk factors associated with Clavien-Dindo ≥IIgrade complications following radical gastrectomy for advanced gastric cancer in elderly patients, develop a nomogram risk prediction model, and validate its accuracy.MethodsRetrospective collection of clinical and pathological data was conducted on 442 elderly patients with advanced gastric cancer who underwent radical gastrectomy at Shaanxi Provincial People’s Hospital from January 2015 to December 2020. They were randomly divided into a training set (n = 310) and a validation set (n = 132) in a 7:3 ratio. The severity of postoperative complications was graded using the Clavien-Dindo classification system, resulting in two complication groups: Clavien-Dindo <II group (n = 229) and Clavien-Dindo ≥II group (n = 81). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors affecting the occurrence of Clavien-Dindo ≥II grade complications, and a predictive model was established based on the results. The model was then validated using the validation set.ResultsAmong the 442 patients included in the study, 121 cases (27.38%) experienced postoperative complications, with 111 cases (25.11%) classified as Clavien-Dindo ≥II grade complications. Multivariable logistic analysis revealed that the Prognostic Nutritional Index (PNI), surgical duration, age, and history of Diabetes mellitus were independent risk factors for the occurrence of Clavien-Dindo ≥IIgrade complications in elderly patients with advanced gastric cancer after surgery (P < 0.05). The nomogram model constructed based on these factors demonstrated good discriminative ability, as indicated by the area under the Receiver Operating Characteristic (ROC) curve. Calibration plots showed that the predicted probability of gastric cancer lymph node metastasis using the nomogram model was well aligned with actual outcomes. Decision curve analysis indicated the clinical utility of the nomogram model across a wide range of thresholds, demonstrating its practicality and potential for clinical benefit.ConclusionThis study identified Prognostic Nutritional Index (PNI), surgical duration, age, and history of Diabetes mellitus as risk factors for the occurrence of Clavien-Dindo ≥ II grade complications in elderly patients with advanced gastric cancer after surgery. Based on these four risk factors, a nomogram risk prediction model was constructed. This model can be used to personalize the prediction of the risk of Clavien-Dindo ≥ II grade complications occurring after surgery in elderly patients with advanced gastric cancer.

Understanding m6A changes in chromophobe renal cell carcinoma and predicting patient outcomes survival

N6-methyladenosine (m6A) is a prevalent mRNA modification known for its implications in various cancer types, yet its role in chromophobe renal cell carcinoma (chRCC) remains largely unexplored. In this study, we performed m6A-SEAL-seq and RNA-seq analyses on tissues from three chRCC subjects, aiming to uncover m6A alterations in chRCC. Our findings revealed reduced expression levels of four m6A regulators in chRCC tissues and highlighted differences in m6A levels compared to normal tissues. Furthermore, we identified specific genes and cancer-related pathways affected by these differences, including notable candidates like NOTCH1 and FGFR1, implicated in chRCC development. Additionally, we developed a predictive model based on the expression level of m6A associated genes, demonstrating promising prognostic capabilities for patient survival prediction. Overall, our study provides valuable insights into the role of m6A in chRCC and its potential as a prognostic indicator.

Comprehensive analysis of the potential biological significance of CCL5 in pan-cancer prognosis and immunotherapy

C-C chemokine ligand 5 (CCL5) plays a crucial role in the advancement of human cancer. Nevertheless, little is known about the multi-omics characterisation of CCL5 and its significance for the immune microenvironment and prognosis of tumor patients. The basal expression levels of the CCL5 gene in normal human tissues, aberrant expression in disease, genomic alterations, prognostic roles, pathway enrichment, immune microenvironment, association with immune checkpoints, drug sensitivity, and the ability to predict patients’ immunotherapeutic response to immune checkpoint inhibitors (ICIs) and small molecule drugs were all thoroughly analyzed using data gathered from 33 cancers. Lastly, we were able to validate CCL5’s involvement in renal clear cell carcinoma by experimental means. We discovered that CCL5 has distinct expression patterns and a diagnostic biomarker significance in cancer. Furthermore, we discovered that CCL5 is essential for both the tumor microenvironment and pan-cancer. TMB and MSI are two frequent immunological checkpoints that are significantly correlated with CCL5, and patients who express high levels of CCL5 have stronger immunotherapeutic response and a better prognosis after immunotherapy. Eventually, molecular docking was used to find small molecule inhibitors that can specifically target CCL5. Ultimately, it was shown that CCL5 knockdown impeded renal clear cell carcinoma cells’ ability to proliferate and invade. Our findings demonstrate the significant potential of CCL5 as an immunotherapeutic response biomarker and prognostic indicator, which may pave the way for more studies on the mechanism of tumor infiltration and CCL5’s potential therapeutic applications in cancer.

Exploring and validating the necroptotic gene regulation and related lncRNA mechanisms in colon adenocarcinoma based on multi-dimensional data.

Necroptosis is intimately associated with the initiation and progression of colon adenocarcinoma (COAD). However, studies on necroptosis-related genes (NRGs) and the regulating long non-coding RNAs (NRGlncRNAs) in the context of COAD are limited. We retrieved the cancer genome atlas (TCGA) to collect datasets of NRGs and NRGlncRNAs on COAD patients. The risk model constructed using Cox and least absolute shrinkage and selection operator (LASSO) regression was then employed to identify NRGs and NRGlncRNAs with prognostic significance. Subsequently, we validated the results using gene expression omnibus (GEO) datasets from different populations, conducted Mendelian randomization (MR) analysis to explore the potential causal relationships between prognostic NRGs and COAD, and conducted cell experiments to verify the expression of prognostic NRGlncRNAs in COAD. Furthermore, we explored potential pathways and regulatory mechanisms of these prognostic NRGlncRNAs and NRGs in COAD through enrichment analysis, immune cell correlation analysis, tumor microenvironment analysis, immune checkpoint analysis, tumor sample clustering, and so on. We identified eight NRGlncRNAs (AC245100.5, AP001619.1, LINC01614, AC010463.3, AL162595.1, ITGB1-DT, LINC01857, and LINC00513) used for constructing the prognostic model and nine prognostic NRGs (AXL, BACH2, CFLAR, CYLD, IPMK, MAP3K7, ATRX, BRAF, and OTULIN) with regulatory relationships with them, and their validation was performed using GEO and GWAS datasets, as well as cell experiments, which showed largely consistent results. These prognostic NRGlncRNAs and NRGs modulate various biological functions, including immune inflammatory response, oxidative stress, immune escape, telomere regulation, and cytokine response, influencing the development of COAD. Additionally, stratified analysis of the high-risk and low-risk groups based on the prognostic model revealed elevated expression of immune cells, increased expression of tumor microenvironment cells, and upregulation of immune checkpoint gene expression in the high-risk group. Finally, through cluster analysis, we identified tumor subtypes, and the results of cluster analysis were essentially consistent with the analysis between risk groups. The prognostic NGRlncRNAs and NRGs identified in our study serve as prognostic indicators and potential therapeutic targets for COAD, providing a theoretical basis for the clinical diagnosis and treatment of COAD and offering guidance for further research.

Intratumoral microbiota as a novel prognostic indicator in bladder cancer

Microbes are important components of the tumor microenvironment and have a close relationship with tumors. However, there is still a lack of research on the intratumoral microbiota in bladder cancer and its impact on the tumor immune microenvironment. In this study, we used fluorescence in situ hybridization (FISH) and observed a substantial presence of microbiota in bladder cancer tissues, with greater abundance compared to that in normal bladder tissues. Based on the BIC database, we found that the microbiome of bladder cancer is highly diverse and its structure is significantly different from that of other tumors. To investigate the relationships among the intratumoral microbiota, tumor immunity, and prognosis in bladder cancer patients, we analyzed bladder cancer-specific differentially expressed immune- and antimicrobial-related genes from the ImmPort, TISIDB, and TCGA databases. We identified 11 hub genes and constructed a prognostic risk model. Further analysis revealed differences at the family and genus levels between distinct groups. Using LEfSe analysis, we identified six hub biomarkers and developed a novel microbial-based scoring system. The scoring system allows subgrouping of bladder cancer patients, with significant differences in prognosis, immune cell infiltration, tumor mutation burden, and immune checkpoints among different groups. Further FISH and immunofluorescence co-staining experiments initially verified that the specific distribution of microorganisms and M2 macrophages in bladder cancer may be closely related to the poor prognosis of patients. In conclusion, this study revealed the characteristics of the intratumoral microbiota in bladder cancer and identified potential prognostic targets for clinical application.

Incidence, risk factors, and outcomes of patients with monoclonal B-cell lymphocytosis and chronic lymphocytic leukemia who develop venous thromboembolism

BackgroundThe incidence, risk factors, and outcomes of venous thromboembolism (VTE) in patients with chronic lymphocytic leukemia (CLL) and monoclonal B-cell lymphocytosis (MBL) are not well described. ObjectivesWe aimed to determine the clinical characteristics, risk factors, and outcomes of incident VTE in patients with newly diagnosed MBL/CLL and compare the incidence to the age- and sex-matched general population. MethodsUsing the Mayo Clinic CLL Database, we identified 946 patients with newly diagnosed MBL/CLL between 1998 and 2021. Incidence of VTE was identified by querying the electronic health record for VTE-specific International Classification of Diseases-9 and -10 codes and reviewing results of radiographic studies. ResultsEighty patients developed VTE. The incidence of VTE in patients with newly diagnosed MBL/CLL was ∼1% per year. In multivariable analyses, prior history of VTE (hazard ratio [HR]: 5.33; 95% CI: 1.93-14.68, P = .001) and high/very high-risk CLL-International Prognostic Index score (HR: 2.63; 95% CI: 1.31-5.26; P = .006) were associated with an increased risk of VTE; receipt of CLL treatment or occurrence of nonhematologic malignancy was not. Development of VTE was associated with shorter overall survival (HR: 1.82, 95% CI: 1.30-2.55) after adjusting for age, sex, prior history of VTE, and Rai stage. The age- and sex-adjusted VTE incidence rate for patients with MBL/CLL and no prior history of VTE (n = 904) was 1254 per 100 000 person-years compared with 204 per 100 000 person-years in the general population, reflecting a 5.9-fold increase. ConclusionOur study demonstrates a 6-fold increased risk of VTE in patients with MBL/CLL compared with the age- and sex-matched general population.

Serum tumor markers (carcinoembryonic antigen, carbohydrate antigen 19-9, carbohydrate antigen 72-4, carbohydrate antigen 24-2, ferritin) and gastric cancer prognosis correlation.

Gastric cancer is a kind of malignant tumor which is prevalent all over the world. Although some progress has been made in the treatment of gastric cancer, its prognosis is still not optimistic, so it is of great significance to find reliable prognostic indicators to guide the treatment and management of patients with gastric cancer. To explore the relationship between serum levels of five biomarkers [carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 19-9, CA72-4, CA24-2, and ferritin] and prognosis in patients with gastric cancer. This study included 200 patients with gastric adenocarcinoma, and conducted an in-depth analysis of their baseline characteristics, relationship between tumor markers and staging, and prognosis. The study found that CA19-9 has a significant correlation with tumor stage, the average levels of CA24-2, CEA, CA72-4 and ferritin were slightly increased disregarding the stage of tumor. Survival analysis showed that increases in CEA, CA19-9, CA24-2, and ferritin were all associated with shortened overall survival of patients. Further multivariate analysis revealed that elevated serum CA72-4 levels were an independent adverse prognostic factor. This study reveals that there is a significant correlation between the expression levels of serum tumor markers CEA, CA19-9, CA72-4, CA24-2 and ferritin in patients with gastric cancer and prognosis, and can be used as important indicators for prognostic evaluation of gastric cancer. In particular, markers that appear abnormally elevated initially may help identify gastric cancer patients with poor prognosis. Serum CEA and CA19-9 play an important role in the prognosis assessment of gastric cancer, and are effective tools to guide clinical practice and optimize individualized treatment strategies for gastric cancer patients.

Profound deficiencies in mature blood and bone marrow progenitor dendritic cells in Chronic Lymphocyticcytic Leukemia patients.

Chronic lymphocytic leukemia (CLL) patients are immunocompromised and highly vulnerable to serious recurrent infections. Conventional dendritic cells (cDCs) and plasmacytoid DCs (pDCs) are principal sensors of infection and are essential in orchestrating innate and adaptive immune responses to resolve infection. This study identified significant deficiencies in six functionally distinct DC subsets in blood of untreated CLL (UT-CLL) patients and selective normalization of pDCs in response to acalabrutinib (a Bruton tyrosine kinase inhibitor) therapy. DCs are continuously replenished from hematopoiesis in bone marrow (BM). Four BM developmental intermediates that give rise to cDCs and pDCs were examined and significant reductions of these were identified in UT-CLL patients supporting a precursor/progeny relationship. The deficiencies in blood DCs and BM DC progenitors were significantly associated with alterations in the Flt3/FL signaling pathway critical to DC development and function. Regarding clinical parameter, cDC subset deficiencies are associated with adverse prognostic indicators of disease progression, including IGHV mutation, CD49d, CD38, and ZAP-70 status. Importantly, UT-CLL patients with shared DC subset deficiencies had shorter time-to-first treatment (TTFT), uncovering a profound alteration in innate immunity with the potential to instruct therapeutic decision-making.