Marker For Overall Survival Research Articles

Abstract PR017: A T-cell signature in circulating cell-free DNA at time of diagnosis predicts response to checkpoint inhibition

Abstract Immune checkpoint inhibitors (ICI) are increasingly used as first line of treatment in a range of cancer types, owing to their efficacy and advantageous toxicological profile. Currently, PD-L1 expression and tumor mutation burden (TMB) are the most common biomarkers to select patients for ICI treatment, yet response to ICI remains highly variable between patients, necessitating more accurate early predictors of treatment response. Circulating cell-free DNA (cfDNA) originates from dying cells throughout the body, each molecule carrying unique epigenetic features of its cell-type of origin. Most studies on cfDNA focus on tumor-derived fragments for diagnostics or minimal residual disease detection. However, variations in the contribution of immune cells and other stromal cell populations could provide important clues to classify a tumor with respect to treatment. To address this, we collected tumor and adjacent normal tissue as well as cfDNA from the blood of 33 patients enrolled in the LUD2015-005 trial in which ICI were administered to patients with non-resectable esophageal adenocarcinoma (EAC) for four weeks, before adding standard-of-care chemotherapy (ICI+CTX). For each patient, we took samples at diagnosis, before ICI+CTX, during and at the end of treatment. Tissue and cfDNA samples were sequenced using TET-Assisted Pyridine-borane Sequencing (TAPS), a method recently developed in Oxford which provides genome-wide high-depth, base- resolution DNA methylation and mutation information from low-input samples. We then selected a representative set of high-purity tumor tissue samples and combined them with whole- genome TAPS data from 9 healthy blood cell types and 5 gastrointestinal tissues to generate a GI-specific atlas of cell-type specific methylation. This atlas allows us to accurately quantify the contribution of tumor and 14 healthy cell types to the cfDNA collected from each patient at each timepoint. Strikingly, the presence of T-cell derived cfDNA at time of diagnosis (tDNA) is a strong positive predictive marker of overall survival (p=0.0024). In contrast, the fraction of tumor-resident T-cells, estimated by either bulk tissue TAPS or RNA sequencing, correlated only weakly with treatment response in this cohort, indicating that T-cell activity is more accurately captured by tDNA. Furthermore, we find that patients with a combination of high TMB and high tDNA have an 80% 2-year survival probability, as opposed to below 25% for others, suggesting that tDNA is derived from T-cells actively engaging tumor cells with high neoantigen load. In summary, we demonstrate that T-cell turnover, as reflected in differential methylation in a set of marker regions spanning only 24kb, is a promising biomarker of treatment response, especially when combined with neoantigen load: in the presented cohort, all but one long-term survivors (alive at last follow up > 3 years after diagnosis) were tDNA positive with high TMB. This demonstrates the power of cfDNA composition analysis for risk stratification in ICI treatment. Citation Format: Phil Xie, Zohar Etzioni, Chun-Xiao Song, Richard P Owen, Mark R Middleton, Xin Lu, Benjamin Schuster-Boeckler. A T-cell signature in circulating cell-free DNA at time of diagnosis predicts response to checkpoint inhibition [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr PR017.

CTNI-13. 18-FET-PET ENHANCED DIAGNOSIS OF PSEUDOPROGRESSION IN GLIOBLASTOMA IS AN INDEPENDENT PROGNOSTIC FACTOR FOR OVERALL SURVIVAL

Abstract INTRODUCTION Detecting pseudoprogression (PSP) in glioblastoma during first-line treatment remains challenging and has significant clinical implications for patient management. The detection of PSP has been shown feasible using FET-PET. The prognostic impact of FET-PET diagnosed PSP on overall survival is still uncertain, as retrospective studies provide limited insights due to the substantial differences in the distribution of prognostic factors between tumor progression (TP) and PSP groups. This study aims to address these uncertainties by leveraging advanced analysis techniques. METHODS Patients with newly diagnosed glioblastoma (WHO 2021) who underwent chemoradiation and contrast-enhanced MRI suspected for TP and subsequent FET-PET scan at Essen University Hospital were retrospectively evaluated. The modified Response Assessment in Neuro-Oncology (RANO) criteria were used to diagnose PSP. FET-PET analysis included mean (TBRmean) and maximum tumor-to-brain ratios (TBRmax). The two groups (TP/PSP) were balanced using a propensity score analysis including age at diagnosis, extent of resection, Karnofsky-Performance-Status Scale (KPS) and MGMT methylation status. Overall survival was predicted using Kaplan-Meier and multivariate analysis as well as conventional FET-PET parameters, PET/MRI volumetry, and FET/MRI-derived radiomics. An independent cohort was used for validation. RESULTS Out of the 165 patients analysed in this study, 38 were diagnosed with PSP. Following balancing analysis, our study cohort consisted of 40 patients (20 TP/20 PSP). Patients with PSP had a significantly longer mean overall survival (mOS) compared to those with TP (mOS TP 20.24 months; mOS PSP 33.25 months; p=0.0023). The multivariate Cox-Regression analysis confirmed PSP as a significant prognostic marker for overall survival (p=0.0153). Confirmation of these results on an independent validation cohort is pending and will be presented at the meeting. CONCLUSION This study shows that PSP is an independent prognostic factor for overall survival in newly diagnosed glioblastoma patients.

Establishment of potential lncRNA-related hub genes involved competitive endogenous RNA in lung adenocarcinoma

Long non-coding RNAs (lncRNAs) have a notable role in the diagnosis and prognosis of cancer. However, the associations between lncRNA-related hub genes (LRHGs) expression and the corresponding outcomes have not been fully understood in lung adenocarcinoma (LUAD). Here, a total of 71 patients diagnosed with LUAD and 60 healthy volunteers at The First Affiliated Hospital of Huzhou University from April, 2023 to December, 2023 were enrolled in the present study. A LRHGs model was established using least absolute shrinkage and selection operator analyses of The Cancer Genome Atlas-LUAD datasets. The underlying mechanisms of the LRHGs were investigated via Gene Set Enrichment Analysis and Gene Set Variation Analysis. Additionally, the diagnostic role of serum HOXD cluster antisense RNA 2 (HOXD-AS2) was assessed by receiver operating characteristic (ROC) curve analysis. Lastly, TCGA-LUAD samples were divided into high- and low-HOXD-AS2 expression groups based on the median expression. The associations between HOXD-AS2 expression and miR-4538 as well as Calmodulin-Dependent Protein Kinase Type II subunit Beta (CAMK2B) levels were conducted through Pearson correlation analysis. A comprehensive analysis identified 141 differentially expressed lncRNAs between 539 LUAD tissues and 59 normal samples. A prognostic marker for overall survival was established by constructing a predictive signature consisting of 9 LRHGs. Subsequently, 474 LUAD samples were categorized into a high or low-risk group based on the median of the risk score. An independent prognostic model was constructed to confirm the validity of this categorization. Further comparisons of the clinicopathological features and LRHG-related pathways were performed between the two groups. Examinations of LRHG expression in two LUAD clusters and of the association between LRHG expression and immune infiltration were also conducted. HOXD-AS2 expression was shown to be elevated in LUAD tissues compared with matched normal tissues, and the serum HOXD-AS2 level was also notably increased in LUAD samples compared with healthy controls. The results of the ROC analysis indicated that the sensitivity and specificity of HOXD-AS2 were higher than that of cytokeratin-19 fragment (CYFRA21-1), which is a serum marker for LUAD. Pearson analyses indicated that miR-4538 level was negatively associated with HOXD-AS2 expression, but CAMK2B level showed positive correlation in LUAD. The results of the present study therefore indicated that the constructed LRHG model, particularly HOXD-AS2, could independently diagnose and predict the prognosis of LUAD, which suggested the underlying mechanism of the HOXD-AS2/miR-4538/CAMK2B, and might offer efficient strategies for LUAD treatment.

Use of albumin and CRP related immuno-nutritional markers for prediction of locoregional response to treatment in unresectable hepatocellular carcinoma

Objective:We analysed the relationship between albumin and CRP related inflammation markers (Controlling nutritional status(Conut)score, lymphocyte albumin factor(LA), albumin-bilirubin score (ALBI), highly sensitive modified Glasgow prognostic score (Hs-mGPS), Glasgow prognostic score(GPS)) and locoregional treatment response in HCC. Materials and methods:Among 180 HCC patients, 63 patients who underwent locoregional therapy were included in this study. Albumin and CRP related immuno-nutrition scores were calculated by recording routine laboratory tests between the fourth and eighth week after treatment. The predictive and prognostic value of these markers for overall survival(OS) and disease free survival after treatment(DFS) were analysed. Results:The mean age was 63 years (min-max:26-87) and 59 (93.7%) of the patients were male. The mean follow up period was 25 months and 53 patients were deceased (84.1%). mOS: 18.56 months (min-max: 13.13-23.99); mDFS: 7 months (min-max: 3.63-10.37) after locoregional treatment. Cut-off values of prognostic markers were determined by Roc analysis. Statistically significant correlation was found between age(p=0.019), Conut(p=0.001), GPS(p=0.028), Hs-mGPS(p=0.012), LA(p=0.017) and ALBI(p=0.002) and mOS. The relationship between Conut(p=0.002), GPS(p

Fibrinogen to pre-albumin ratio is an independent prognostic index for patients with pancreatic ductal adenocarcinoma after radical resection

BackgroundThis study aims to elucidate the significance of the preoperative fibrinogen to pre-albumin ratio (FPR) in predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC), a correlation not extensively explored previously.MethodsA cohort of 563 patients diagnosed with PDAC and subjected to radical surgical resection was examined. We meticulously documented a range of inflammatory markers, clinical-pathological features, and oncological outcomes. The prognostic value of preoperative FPR was assessed using Kaplan–Meier survival analysis and Cox proportional hazards regression modeling. Furthermore, the predictive accuracy of FPR was evaluated through time-dependent receiver operating characteristic (ROC) curves and decision curve analyses (DCA).ResultsThe determined optimal threshold for FPR was 14.77, which facilitated the stratification of patients into groups with low and high FPR levels. Notably, patients in the high FPR cohort exhibited significantly reduced recurrence-free survival (RFS) and overall survival (OS) rates compared to their low FPR counterparts. Multivariate Cox regression analysis underscored FPR as an independent prognostic indicator for both RFS and OS. In comparison to the neutrophil-to-lymphocyte ratio (NLR), FPR demonstrated superior prognostic accuracy and clinical utility.ConclusionThe preoperative fibrinogen to pre-albumin ratio serves as an independent prognostic marker for RFS and OS among PDAC patients undergoing radical resection. Our findings suggest that FPR could be a valuable addition to the current prognostic models, potentially guiding therapeutic decision-making and patient management strategies in PDAC.

Real-world analysis of the correlation between overall survival and progression-free survival in advanced pancreatic cancer: Results of NAPOLEON-1 and 2 studies.

Fluorouracil, leucovorin, irinotecan, and oxaliplatin (FOLFIRINOX) improve overall survival (OS) and progression-free survival (PFS) in patients with pancreatic cancer, compared with gemcitabine (GEM). However, whether PFS is a surrogate marker of OS in pancreatic cancer chemotherapy focusing on FOLFIRINOX or GEM plus nab-paclitaxel remains unknown. We aimed to verify whether PFS can be a surrogate marker of OS in prognosis prediction. This was an integrated analysis of the NAPOLEON study and retrospective cohort of the NAPOLEON-2 study-a multicenter observational study conducted in Japan, using real-world data. The primary and secondary endpoints were OS and PFS, respectively. The correlation between OS and PFS in first- and second-line treatments was assessed using Method of Moments estimation. An analysis was performed in patients with confirmed OS at the end of follow-up. The NAPOLEON-2 cohort included only patients who received 5-fluorouracil, leucovorin, and nanoliposomal irinotecan (NFF) as second-line treatment. Among 479 patients, the correlation between PFS and OS from first- and second-line chemotherapies was calculated in 310 and 225 patients, respectively. The R-squared values for the correlation between PFS and OS from first- and second-line chemotherapies were 0.74 and 0.76, respectively. There was no statistically significant difference in first-line treatment between the FOLFIRINOX and gemcitabine plus nab-paclitaxel groups (P=0.92). Therefore, the FOLFIRINOX group may not have shown a stronger correlation than the NFF group. PFS can be a surrogate marker of OS in first- and second-line therapies. Appropriate prognostic estimation might contribute to proper treatment selection.

AML typical mutations (CEBPA, FLT3, NPM1) identify a high-risk chronic myelomonocytic leukemia independent of CPSS molecular

AbstractMutations commonly associated with acute myeloid leukemia (AML), such as CEBPA, FLT3, IDH1/2, and NPM1, are rarely found in chronic myelomonocytic leukemia (CMML), and their prognostic significance in CMML has not been clearly identified. In 127 patients with CMML, we have retrospectively analyzed next-generation sequencing and polymerase chain reaction data from bone marrow samples collected at the time of CMML diagnosis. Seven patients harbored CEBPA mutations, 8 FLT3 mutations, 12 IDH1 mutations, 26 IDH2 mutations, and 11 NPM1 mutations. Patients with CMML harboring CEBPA, FLT3, and/or NPM1 mutations (mutCFN) more frequently had the myeloproliferative subtype, a high prevalence of severe cytopenia, and elevated blast counts. Regardless of their CMML Prognostic Scoring System molecular classification, mutCFN patients with CMML had a poor prognosis, and the multivariate analysis identified mutCFN as an independent marker of overall survival. The genetic profile of these mutCFN patients with CMML closely resembled that of patients with AML, with higher-risk clinical characteristics. Our findings lead us to suggest including the assessment of these mutations in CMML prognostic models and treating these patients with AML-type therapies, including intensive chemotherapy and allogeneic stem cell transplantation, whenever feasible. Furthermore, certain targeted therapies approved for use in AML should be considered.

Overexpression of TPD52L2 in HNSCC: prognostic significance and correlation with immune infiltrates.

Evidence has been presented that the tumor protein D52 (TPD52) family plays a critical role in tumor development and progression. As a member of the TPD52 family, the changes in TPD52L2 gene status are instrumental in kinds of cancer development. However, its effects on patient prognosis and immune infiltration in Head and Neck Squamous Carcinoma (HNSCC) are still poorly understood. The Tumor Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and c-BioPortal database was used to explore the expression pattern, prognostic value, and variation of gene status in HNSCC. The LinkedOmics database was used to obtain the co-expression genes of TPD52L2 and identify the diagnostic value of TPD52L2 in HNSCC. The correlations between TPD52L2 expression and six main types of immune cell infiltrations and immune signatures were explored using Tumor Immune Estimation Resource (TIMER). The correlation between TPD52L2 expression and immune checkpoint genes (ICGs) was analyzed by TCGA database. Immunohistochemistry (IHC) was performed to validate the expression of three ICGs (PDL1, PDL2, EGFR) and TPD52L2 using 5 paired HNSCC and normal head and neck tissues. Polymerase Chain Reaction (PCR) and Western Blot (WB) of HNSCC and normal head and neck cell lines were performed to verify the high level of TPD52L2 mRNA and protein expression. protein expression of TPD52L2 in pan-cancer was also validated using UALCAN. TPD52L2 was overexpressed in tumor tissues, and it predicted worse survival status in HNSCC. ROC analysis suggested that TPD52L2 had a diagnostic value. Multivariate Cox analysis identified TPD52L2 as an independent negative prognostic marker of overall survival. Functional network analysis suggested that TPD52L2 was associated with immune-related signaling pathways, cell migration pathways, and cancer-related pathways. High expression of TPD52L2 was associated with a more mutant frequency of TP53. Notably, we found that the expression of TPD52L2 was closely negatively correlated with the infiltration levels of 15 types of immune cells and positively correlated with several immune markers. PCR, WB experiments, and UALCAN database verified the high level of TPD52L2 mRNA and protein expression. TPD52L2 is upregulated in HNSCC, which is an independent factor for adverse prognosis prediction. It probably plays a role in the negative regulation of immune cell infiltration. TPD52L2 might be a promising prognostic biomarker and therapeutic target in HNSCC.

Mcl-1 expression is a predictive marker of response to gemcitabine plus nab-paclitaxel for metastatic pancreatic cancer

Antiapoptotic protein, including Mcl-1, expression is frequently observed in pancreatic cancer. Gemcitabine plus nabpaclitaxel (GnP) is the standard chemotherapy for metastatic pancreatic cancer (MPC); however, predictive markers for its efficacy remain unestablished. This study evaluated the association between GnP’s therapeutic effects and Mcl-1 expression in tissue samples obtained using endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) for pancreatic tumor or percutaneous ultrasound-guided biopsy for metastatic liver tumor. We retrospectively reviewed 38 patients with histologically diagnosed MPC who received GnP as the first-line chemotherapy at our institute between December 2014 and July 2018. Post-immunohistochemistry analysis for Mcl-1 expression detection, patients were divided to into two groups based on the cell proportion showing Mcl-1 immunoreactivity: positive (> 20%; 23 [60.5%] patients) and negative (≤ 20%; 15 [39.5%] patients) groups. Clinical characteristics did not differ between the two groups. The Mcl-1 positive group showed a significantly higher disease control rate (95.7% vs. 73.3%; P = 0.046), longer progressionfree survival (PFS) (7.2 months vs. 4.9 months; P = 0.018) and longer overall survival (OS) (14.9 months vs. 9.2 months; P = 0.008) than the Mcl-1 negative group. Multivariate analysis showed that Mcl-1 expression was an independent predictive marker for PFS and OS. Mcl-1 expression could be a predictive marker for favorable response to GnP.

Radiomics analysis of cerebral blood flow suggests a possible link between perfusion homogeneity and poor glioblastoma multiforme prognosis

Objectives. This study investigates the association between cerebral blood flow (CBF) and overall survival (OS) in glioblastoma multiforme (GBM) patients receiving chemoradiation. Identifying CBF biomarkers could help predict patient response to this treatment, facilitating the development of personalized therapeutic strategies. Materials and Methods. This retrospective study analyzed CBF data from dynamic susceptibility contrast (DSC) MRI in 30 newly diagnosed GBM patients (WHO grade IV). Radiomics features were extracted from CBF maps, tested for robustness, and correlated with OS. Kaplan-Meier analysis was used to assess the predictive value of radiomic features significantly associated with OS, aiming to stratify patients into groups with distinct post-treatment survival outcomes. Results. While mean relative CBF and CBV failed to serve as independent prognostic markers for OS, the prognostic potential of radiomic features extracted from CBF maps was explored. Ten out of forty-three radiomic features with highest intraclass correlation coefficients (ICC > 0.9), were selected for characterization. While Correlation and Zone Size Variance (ZSV) features showed significant OS correlations, indicating prognostic potential, Kaplan-Meier analysis did not significantly stratify patients based on these features. Visual analysis of the graphs revealed a predominant association between the identified radiomic features and OS under two years. Focusing on this subgroup, Correlation, ZSV, and Gray-Level Nonuniformity (GLN) emerged as significant, suggesting that a lack of heterogeneity in perfusion patterns may be indicative of a poorer outcome. Kaplan-Meier analysis effectively stratified this cohort based on the features mentioned above. Receiver operating characteristic (ROC) analysis further validated their prognostic value, with ZSV demonstrating the highest sensitivity and specificity (0.75 and 0.85, respectively). Conclusion. Our findings underscored radiomics features sensitive to CBF heterogeneity as pivotal predictors for patient stratification. Our results suggest that these markers may have the potential to identify patients who are unlikely to benefit from standard chemoradiation therapy.

The Importance of Preoperative NLR, PLR, and MPV Values in Predicting the Risk of Complications in Colorectal Peritoneal Carcinomatosis.

Colorectal cancer peritoneal carcinomatosis (CRC PC) necessitates preoperative assessment of inflammatory markers to predict postoperative outcomes and guide treatment. This study aims to evaluate the prognostic value of preoperative Neutrophil-Lymphocyte Ratio (NLR), Platelet-Lymphocyte Ratio (PLR), and Mean Platelet Volume (MPV) in predicting complications for CRC PC patients undergoing surgery. Calculating NLR, PLR, and MPV from patient data: NLR = absolute neutrophil count/total lymphocyte count, PLR = total lymphocyte count/total platelet count × 100, and MPV = platelet crit (PCT)/total platelet count. The study included 196 CRC PC patients and found significant relationships between these markers and overall survival (OS). Patients with an NLR of 3.77 had a median OS of 22.1 months, compared to 58.3 months for those with lower NLR (HR 2.7, 95% CI 1.1-5.3, p < 0.001). For CRC PC patients undergoing CRS+HIPEC, preoperative assessment of NLR, PLR, and MPV can serve as independent prognostic markers for OS. Incorporating these markers into preoperative evaluations may improve patient selection and outcome prediction.

Performance of nutritional and inflammatory markers in patients with pancreatic cancer.

Systemic inflammation and nutrition play pivotal roles in cancer progression and can increase the risk of delayed recovery after surgical procedures. To assess the significance of inflammatory and nutritional indicators for the prognosis and postoperative recovery of patients with pancreatic cancer (PC). Patients who were diagnosed with PC and underwent surgical resection at our hospital between January 1, 2019, and July 31, 2023, were enrolled in this retrospective observational cohort study. All the data were collected from the electronic medical record system. Seven biomarkers - the albumin-to-globulin ratio, prognostic nutritional index (PNI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), nutritional risk index (NRI), and geriatric NRI were assessed. A total of 446 patients with PC met the inclusion criteria and were subsequently enrolled. Patients with early postoperative discharge tended to have higher PNI values and lower SII, NLR, and PLR values (all P < 0.05). Through multivariable logistic regression analysis, the SII value emerged as an independent risk factor influencing early recovery after surgery. Additionally, both univariable and multivariable Cox regression analyses revealed that the PNI value was the strongest prognostic marker for overall survival (OS; P = 0.028) and recurrence-free survival (RFS; P < 0.001). The optimal cutoff PNI value was established at 47.30 using X-tile software. Patients in the PNI-high group had longer OS (P < 0.001) and RFS (P = 0.0028) times than those in the PNI-low group. Preoperative systemic inflammatory-nutritional biomarkers may be capable of predicting short-term recovery after surgery as well as long-term patient outcomes.

Evaluation of the incidence, predictors, risk assessment scores and outcomes of thromboembolism in a cohort of Egyptian NHL patients - Real World Experience

Non-Hodgkin’s Lymphoma (NHL) is the most common subtype of lymphoma. The incidence of venous thromboembolism (VTE) in aggressive NHL was estimated recently to be 11%. Several risk assessment scores and factors are available to help identify cancer patients at risk for developing VTE. Patients with a pathologically confirmed diagnosis of NHL were identified at the Oncology Center of Mansoura University. The study included 777 patients: 719 with DLBCL-NOS, 26 with Anaplastic-B-cell, and 32 with T-cell-rich-NHL. Data were retrospectively collected from electronic medical records, including clinical, radiological, and laboratory information related to VTE and NHL. The median age at NHL diagnosis was 53 years, (range: 18–98). There was a male predominance, 51.4% of the cases. At initial lymphoma diagnosis, VTE was identified in 46 (5.9%) patients, and 61 (7.9%) patients experienced VTE while undergoing chemotherapy. According to logistic regression analysis, a PS (performance status) ≥ 2, bulky lesions, and mediastinal masses were significant predictors of VTE at presentation, with P-values of 0.022, 0.002, and < 0.001, respectively. Meanwhile, NHL patients who developed VTE during chemotherapy had significantly poorer PS, higher absolute neutrophilic counts (ANC), neutrophil/lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lactate dehydrogenase (LDH) levels than lymphoma patients without VTE, with P-values of 0.003, 0.034, 0.049, 0.01 and 0.007, respectively, as determined by multivariate analysis. The ROC curve identified the cut-off values of 4.875 × 109/L for ANC, 2.985 for NLR, 144.85 for PLR, and 417.5 U/L for LDH as potential markers for predicting VTE in NHL patients. Patients with a PS ≥ 2 and values exceeding these cut-offs for ANC, NLR, and PLR experienced significantly higher incidences of VTE than other groups, with P-values of 0.003, < 0.001, < 0.001, and < 0.001, respectively. At the end of the follow-up, the overall survival was significantly shortened by VTE occurring during chemotherapy, hypoalbuminemia, intermediate-high and high international prognostic index (IPI) scores (intermediate-high and high), responses other than CR and relapse, all with P-values < 0.05. ECOG PS and Inflammatory markers such as NLR, PLR, and neutrophilic count could serve as predictors of the development of thrombotic events in patients with NHL-DLBCL. Additionally, the occurrence of VTE during chemotherapy is an independent poor prognostic marker for overall survival (OS).

Prediction of PSA Response after Dexamethasone Switch during Abiraterone Acetate + Prednisolone Treatment of Metastatic Castration-Resistant Prostate Cancer Patients.

The aim was to elaborate a predictive model to find responders for the corticosteroid switch (from prednisolone to dexamethasone) at the first prostate-specific antigen (PSA) progression (≥25% increase) during abiraterone acetate (AA) treatment of metastatic castration-resistant prostate cancer (mCRPC) patients. If PSA has decreased (≥25%) after switch, patients were considered responders. Logistic regression of 19 dichotomized parameters from routine laboratory and patients' history was used to find the best model in a cohort of 67 patients. The model was validated in another cohort of 42 patients. The model provided 92.5% and 90.5% accuracy in the testing and the validation cohorts, respectively. Overall the accuracy was 91.7%. The AUC of ROC curve was 0.92 (95% CI 0.85-0.96). After a median follow-up of 27.9 (26.3-84) months, the median AA+dexamethasone treatment duration (TD) in non-responders and responders was 4.7 (3.1-6.5) and 11.1 (8.5-12.9) months and the median overall survival (OS) was 23.2 (15.6-25.8) and 33.5 (26.1-38) months, respectively. Multivariate Cox regression revealed that responsiveness was an independent marker of TD and OS. A high accuracy model was developed for mCRPC patients in predicting cases which might benefit from the switch. For non-responders, induction of the next systemic treatment is indicated.

Survival and prognostic factors of primary retroperitoneal sarcomas after surgery: a single-center experience.

The percentage of retroperitoneal sarcomas (RPS) among all soft tissue sarcomas ranges from 10 to 15%. Surgery remains the gold standard for RPS. In this study, we analyzed the impact of surgical treatment for primary RPS on recurrence and overall mortality at a Chinese institution and identified and evaluated prognostic variables. Data from patients with RPS who underwent surgical treatment were retrospectively analyzed. The patients were treated at a single center from January 2000 to June 2018. Retrospectively collected demographic, clinicopathological, and surgical factors were examined. Overall survival (OS) and disease-free survival (DSF) were used as the primary endpoints. Predicted 5-year survival rates, encompassing both DFS and OS, were derived from the Sarculator prognostic nomogram. A total of 110 patients met the inclusion criteria. The median follow-up time after surgery for patients with primary RPS was 5.3 years. During this period, 59 patients died. The 5-year OS and DFS estimates were 63.5% and 35.3%, respectively. In a multivariate analysis, poor OS following surgical treatment of primary RPS was independently correlated with FNCLCC grade (p < 0.001) and surgical margin status (p = 0.016). FNCLCC grade (p = 0.001) and surgical margin status (p = 0.002) were also independently associated with poor DFS. The C-indices for 5-year OS and DFS survival utilizing the Sarculator prognostic nomogram were 0.71 and 0.73 respectively. The overall mortality rate of patients with RPS was considered acceptable. OS and DFS prognostic markers were established for primary RPS. Tumor grade and intraregional margins are other factors that affect survival and recurrence.

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.

Development and validation of a nomogram to predict overall survival in patients with glioma: a population-based study.

The objective is to investigate the prognostic factors associated with gliomas and to develop and assess a predictive nomogram model connected to survival that may serve as an additional resource for the clinical management of glioma patients. From 2010 to 2015, participants included in the study were chosen from the Surveillance Epidemiology and End Results (SEER) database. Gliomas were definitively diagnosed in each of them. They were divided into the training group and the validation cohort at random (7/3 ratio) using a random number table. To identify the independent predictive markers for overall survival (OS), Cox regression analysis was utilized. Subsequently, the training cohort's survival-related nomogram predictive model for OS was created by incorporating the fundamental patient attributes. Following that, the training cohort's model underwent internal validation. The nomogram model's authenticity and reliability were assessed through the computation of receiver operating characteristic (ROC) curves and concordance index (C-index). To evaluate the degree of agreement between the observed and predicted values in the training and validation cohorts, calibration plots were created. Age, primary site, histological type, surgery, chemotherapy, marital status, and grade were the independent predictive factors for OS in the training cohort, according to Cox regression analysis. Moreover, the nomogram model for predicting 1-year, 3-year, and 5-year OS was built using these variables. The C-indexes of OS for glioma patients in the training cohort and internal validation cohort were found to be 0.779 (95% CI=0.769-0.789) and 0.776 (95% CI=0.760-0.792), respectively, according to the results. The ROC curves also demonstrated good discrimination. Additionally, calibration plots demonstrated a fair amount of agreement. In summary, the nomogram prediction model of OS demonstrated a moderate level of reliability in its predictive performance, offering valuable reference data to enable doctors to quickly and easily determine the survival likelihood of patients with gliomas.

The prognostic and predictive value of homologous recombination deficiency status in patients with advanced stage epithelial ovarian carcinoma after first-line platinum-based chemotherapy.

Homologous recombination (HR) comprises series of interrelated pathways that repair double-stranded DNA breaks and inter-strand crosslinks. It provides support for DNA replication to recover stalled or broken replication forks. Compared with homologous recombination proficiency (HRP), cancers with homologous recombination deficiency (HRD) are more likely to undergo cell death when treated with DNA-damaging agents, such as platinum agents, and have better disease control. Patients diagnosed with stage III/IV ovarian cancer, early stages with recurrence, who received adjuvant chemotherapy after debulking surgery, and who also had known HR status were eligible. Forty-four patients were included, with 21 in the HRD group (including 8 with germline mutations) and 23 in the HRP group. The HRD group was composed predominantly of serous carcinoma (95.2%), while mucinous (n=3) and clear cell (n=1) cases were all found in the HRP group. Stage III/IV disease was 66.7% and 91.3% in HRD and HRP groups, respectively (p=0.064). Patients who were optimally debulked to no residual disease was 90.0% and 72.7% (p=0.243), respectively. Late line use of PARP inhibitors was 33.3% and 17.4% (p=0.303). Median PFS was 22.5 months (95% CI, 18.5 - 66.6) and 21.5 months (95% CI, 18.3-39.5) (p=0.49) in HRD and HRP respectively. Median platinum free interval (PFI) was 15.8 months (95% CI 12.4-60.4) and 15.9 months (95% CI 8.3-34.1) (p=0.24), respectively. Median OS was 88.2 months (95% CI 71.2-NA) and 49.7 months (95% CI 35.1-NA) (p=0.21). The PFS of the patients with germline BRCA mutations (n=5) was 54.3 months (95% CI 23.1-NA) and 21.5 months (95% CI 18.3-39.5) in the HRP group (p=0.095); the PFI difference was 47.7 months (95% CI 17.6-NA) in the BRCA mutation group, and 15.9 months (95% CI 12.4-60.4) in HRP, showing statistical significance (p=0.039); while the median OS was NA and 49.7 months (95% CI 35.1-NA) respectively (p=0.051). When adding two additional patients with somatic BRCA mutations to the germline BRCA mutation carriers, the median OS is NA (95% CI 73, NA) versus 49.7 months (95% CI 35.1, NA) for HRP (p=0.045). HRD status was not associated with longer PFS or PFI in advanced ovarian cancer who received first line adjuvant platinum-based chemotherapy. Its role as a prognostic marker for overall survival is suggested, particularly in the subgroup with germline and somatic BRCA mutations.

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.

Association of systemic inflammation markers in cancer mortality with diabetes: evidence from National Health and Nutrition Examination Survey.

Inflammation plays a crucial role in the interconnection between diabetes and cancer. Our study seeks to investigate the predictive value of inflammatory indices concerning overall survival (OS) among diabetic cancer patients. We analyzed data from the National Health and Nutrition Examination Survey between 1999 and 2020. Using four immune-related markers, we employed the log-rank method, multivariate Cox regression, and subgroup analysis to explore the predictive capacity of these markers for OS among adult individuals with diabetes and cancer. Our study identified four systemic immune-inflammatory indices that demonstrated significant predictive potential for OS among diabetic cancer patients, namely systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio (all p values<0.05). Notably, these inflammatory biomarkers still maintain their predictive value after adjusting potential confounding factors. The analysis using restrictive cubic splines revealed significant non-linear relationships between inflammatory biomarkers and OS. The findings presented in this study underscore the potential of inflammatory markers as prognostic indicators and their crucial role in enhancing risk assessment for diabetic patients with cancer.