Cancer-specific Survival Research Articles

Unlocking survival benefits: primary tumor resection in de novo stage IV breast cancer patients

ABSTRACT Background For patients with de novo stage IV breast cancer (BC), the conditions under which the primary tumor resection (PTR) may offer benefit remain unclear. Methods The SEER database provides treatment data for patients with de novo stage IV BC. We screened cases of metastatic BC diagnosed from 2010 to 2015, with primary endpoints of overall survival (OS) and cancer-specific survival (CSS). Results 9252 patients with stage IV de novo BC were enrolled. For OS, median survival time (MST) was 38 months with systematic treatment (ST) compared to 52 months with ST plus PTR (p < 0.001). For CSS, MST was 38 months for ST versus 54 months for ST plus PTR (p < 0.001). The results of the Cox proportional hazards regression analysis regarding PTR, for OS: bone metastasis (aHR 0.664, 95%CI 0.583–0.756, p < 0.001); liver-lung metastasis (aHR 0.528, 95%CI 0.327–0.853, p = 0.009). For CSS: bone metastasis (aHR 0.655, 95%CI 0.571–0.751, p < 0.001); liver-lung metastasis (aHR 0.549, 95%CI 0.336–0.889, p = 0.017). Kaplan-Meier analysis indicated that in patients with bone metastases and liver-lung metastases, PTR could improve survival outcomes. Conclusion Liver-lung metastases and bone metastases in patients with de novo stage IV BC could enhance both OS and CSS through PTR.

POORLY DIFFERENTIATED CLUSTERS IN COLORECTAL CARCINOMA: ASSOCIATION WITH OTHER HISTOPATHOLOGICAL PROGNOSTIC PARAMETERS INCLUDING TUMOUR BUDDING

Objective: In India, colorectal carcinoma (CRC) ranks third in terms of cancer incidence. Pathologists are essential when it comes to determining the stage, examining surgical margins, and recording the histopathologic prognostic factors. A new prognostic grading system is proposed named poorly differentiated clusters (PDCs), which are defined by neoplastic clusters of 5 cells lacking glandular structure in the invasive front of the stroma. It is significant for cancer-specific and recurrence-free survival in CRC patients, reflecting the biological aggressiveness of the tumor. Aim of the study was to analyse of PDCs in colorectal carcinomas and association with other histopathological prognostic factors. Methods: The Hematoxylin and Eosin (HandE)-stained slides of 76 histopathologically diagnosed CRC resection specimens were reviewed. Poorly differentiated clusters (PDC) were assessed into under 200x power. The correlation of PDC with other histopathological prognostic parameters like tumor size, site, grade, laterality, lymphovascular invasion, perineural invasion, T stage, N stage, and tumor budding was analyzed using descriptive statistics and the Chi-square test with SPSS version 26.0. Results: There was no significant association between PDC and age, tumor location, tumor size, histological grade, LVI, PNI, or lymphnode status. Where a significant association was noted between the sex and PDC grade (P value = 0.035), T stage and PDC grade (P value = 0.045), and N stage and PDC grade is significant (P value = 0.001). Conclusion: PDCs may be considered, along with other clinical-pathological parameters, a promising prognostic factor for the management of patients with CRC and should be included in pathological reports, but it still needs standardization and further validation. At the same time, tumor budding can become an irreplaceable histological indicator for identifying a high malignant potential carcinoma and poor prognosis in CRCS, thus indicating the need for aggressive postoperative management to improve the prognosis of the patient. PDC is important for the survival of CRC patients, indicating the aggressiveness of the tumor both in terms of cancer-specific survival and freedom from recurrence. PDC may help to identify patients who need a more intensive postoperative follow-up and the possibility of adjuvant therapy.

Risk factors of surgical compliance and impact on survival in patients with kidney cancer: a population-based, propensity score matching study.

To identify the impact of surgical compliance on survival in patients with kidney cancer and to explore the factors that influence surgical compliance. Clinical date of kidney cancer patients were identified from the SEER databases, and the patients were divided into surgical compliance group and surgical noncompliance group. Cox survival analysis and Kaplan-Meier curves were used to evaluate the effect of surgical compliance on overall survival (OS) and cancer-specific survival (CSS). A diagnostic nomogram was constructed to quantify individual differences in compliance, and receiver operating characteristics (ROC) curves and calibration curves were used to assess the accuracy of the nomogram. Propensity score matching (PSM) was performed to balance potential baseline confounding factors. Of the 133,950 patients eligible for surgical resection, 2,814 (2.1%) patients did not opt for surgery ultimately. Surgical noncompliance was associated with poor prognosis. In all patients, Cox regression analysis showed that surgical noncompliance was an independent predictor for OS [before: HR = 2.490, 95% CI 2.374-2.612, p < 0.001; after: HR = 2.380, 95% CI 2.202-2.573, p < 0.001] and CSS [before: HR = 2.490, 95% CI 2.318-2.675, p < 0.001; after: HR = 2.035, 95% CI 1.813-2.285, p < 0.001] of kidney cancer patients before and after PSM. Multivariable logistic regression revealed that older age, afro-american origin, lower household income, and advanced tumor grade were associated with surgical noncompliance. The ROC and calibration curves showed that the diagnostic nomogram had high predictive accuracy. Surgical compliance was an independent prognostic factor for OS and CSS in patients with kidney cancer, and surgical noncompliance was associated with poor survival.

Enhancing risk stratification models in localized prostate cancer by novel validated tissue biomarkers.

Localized prostate cancer (PCa) is a largely heterogeneous disease regarding its clinical behavior. Current risk stratification relies on clinicopathological parameters and distinguishing between indolent and aggressive cases remains challenging. To improve risk stratification, we aimed to identify new prognostic markers for PCa. We performed an in silico analysis on publicly available PCa transcriptome datasets. The top 20 prognostic genes were assessed in PCa tissue samples of our institutional cohort (n = 92) using the NanoString nCounter technology. The three most promising candidates were further assessed by immunohistochemistry (IHC) in an institutional (n = 121) and an independent validation cohort from the EMPACT consortium (n = 199). Cancer-specific survival (CSS) and progression-free survival (PFS) were used as endpoints. Our in silico analysis identified 113 prognostic genes. The prognostic values of seven of the top 20 genes were confirmed in our institutional radical prostatectomy (RPE) cohort. Low CENPO, P2RX5, ABCC5 as well as high ASF1B, NCAPH, UBE2C, and ZWINT gene expressions were associated with shorter CSS. IHC analysis confirmed the significant associations between NCAPH and UBE2C staining and worse CSS. In the external validation cohort, higher NCAPH and ZWINT protein expressions were associated with shorter PFS. The combination of the newly identified tissue protein markers improved standard risk stratification models, such as D'Amico, CAPRA, and Cambridge prognostic groups. We identified and validated high tissue levels of NCAPH, UBE2C, and ZWINT as novel prognostic risk factors in clinically localized PCa patients. The use of these markers can improve routinely used risk estimation models.

Comparison of treatment models for single primary advanced gallbladder cancer

PurposeTreatment for advanced gallbladder cancer (GBC) remains controversial, with various recommendations regarding the choice and combination of surgery and adjuvant therapy. The present article is targeting for the exploration of optimal treatment models for advanced GBC.MethodsAJCC (American Joint Committee on Cancer, 8th edition) stage III and stage IV GBC, were defined as advanced GBC. Patients with advanced GBC were identified using the Surveillance, Epidemiology, and End Results (SEER) database and departmental cohort. Because of the most representative, only gallbladder adenocarcinoma (GBAC) patients were selected. Based on their surgical status (No, Non-radical and Radical surgery), chemotherapy status (Chemotherapy, No chemotherapy), and radiotherapy status (Radiotherapy, No radiotherapy), treatment models were categorized. For the purposes of evaluating the treatment outcomes of various treatment models and determining the risk element for cancer-specific survival (CSS), Cox regression analysis was applied. Kaplan-Meier curves were used before and after adjusting for covariates, with log-rank tests used to analyze discrepancies between curves. Immunotherapy was analyzed using clinical data from departmental cohort. Finally, to compensate for the limitations of the database, a review examines the progress in treatment models for advanced GBC.Results5,154 patients aged over 18 years with solitary primary advanced GBC were identified from the SEER database. In advanced GBC patients, the treatment model has emerged as a significant prognostic factor. “Radical surgery + Chemotherapy + Radiotherapy” models maximally improved the CSS of advanced GBC before and after adjusting for covariates, while “No surgery + No chemotherapy + No radiotherapy” model had the lowest CSS. The present conclusions were supported even after subgroup analysis by AJCC stage. The efficacy of immunotherapy was demonstrated in the departmental cohort analysis. Additionally, this article provides a comprehensive overview of recent advancements in various emerging treatment strategies.ConclusionEven when optimal treatment model cannot be pursued, providing comprehensive combinations of treatments to advanced GBC patients whenever possible is always beneficial for their survival.

Does High Standard Uptake Value on Positron Emission Tomography Preclude Sublobar Resection in Stage IA Non-Small Cell Lung Cancer ≤2cm?

Recent randomized trials have shown equivalent survival after sublobar resection (SLR) versus lobectomy in patients with clinical stage IA non-small cell lung cancer (NSCLC)≤2cm. High SUVmax is a known risk factor in NSCLC, yet limited data exists on whether a high SUV should preclude a SLR. This study aims to determine if there is an association between SUVmax and survival based on the extent of parenchymal resection. A retrospective review of a prospectively maintained institutional database was conducted to identify patients with clinical stage IA NSCLC≤2cm (2011-2020) treated with SLR or lobectomy. The primary outcome was cancer-specific survival (CSS). Secondary outcomes were overall survival (OS) and disease-free survival (DFS). 543 patients were identified; 36.8% had SLR and 63.2% had lobectomy. Baseline characteristics were similar. Patients who had SLR had significantly worse ECOG performance status and higher rates of comorbidities. 5-year CSS, OS, and DFS for the whole cohort were similar between SLR and lobectomy. A receiver operating characteristic curve estimated the SUVmax cutoff point to be 4.15. For the whole cohort, patients with SUVmax>4.15 had worse CSS compared to SUVmax≤4.15. However, there was no significant difference in 5-year CSS after SLR versus lobectomy in patients with SUVmax≤4.15 (98% in both groups; P=0.77) or patients with SUVmax>4.15 (90% versus 94% respectively; P=0.12). SUVmax may not be a useful clinical determinant of the extent of parenchymal resection in patients with cT1N0 NSCLC≤2cm. Patients treated by SLR had comparable survival to lobectomy, irrespective of PET avidity.

The effect of thyroid cancer on the survival of patients with digestive system tumors using SEER database.

The number of cancer survivors worldwide is increasing every year, making secondary primary cancers (SPC) is a growing health threat. Studies have been conducted to investigate the risk of occurrence between digestive system tumors (DST) and thyroid cancer (TC). However, existing studies have tended to focus more on the risk of developing SPC and less on the impact of SPC on the survival of cancer survivors. In this study, using the Surveillance, Epidemiology, and End Results database, we aimed to explore the impact of TC on the survival of patients with DST by data between 2000 and 2018. The study employed the standardized incidence ratio to assess the relative risk of SPC, propensity score matching was conducted to mitigate confounding effects, Kaplan-Meier, Cox proportional risk model and competitive risk model were used to analyze the factors affecting the overall survival and cancer-specific survival. We furthermore explored the influence of pathological types and radiotherapy of TC on the survival of DST patients. 518,901 patients with DST only, 801 patients with TC occurring earlier than DST (TC-1st), and 744 patients with DST occurring earlier than TC (DST-1st) were included. The total incidence rate of small intestine cancer after TC was higher than that of the general population, and the incidence of TC after DST was higher than in the general population. DST patients with a history of TC had better overall survival and lower cancer-specific mortality and this difference was particularly significant in patients with DST-1st. In addition, radiotherapy for TC had no effect on cancer-specific mortality in patients with DST.

Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer.

Ki67 index (KI) and mitotic index (MI) are proliferation markers with established prognostic value in breast carcinomas. While KI is evaluated immunohistochemically and reported as a percentage, MI is determined visually and reflects total mitotic cells in 10 high-power fields. Our objective was to integrate KI and MI into a novel metric; the cell cycle traverse rate (CCTR). Given the lack of prognostic and predictive biomarkers in TNBC, we sought to assess the potential of CCTR as a risk-stratification tool for chemotherapy-treated TNBC patients from two independent cohorts: the Nottingham group (n = 124) and the Norway group (n = 71). We evaluated the ability of CCTR to predict survival after adjuvant chemotherapy for TNBC patients (n = 195) in two independent cohorts. Using immunohistochemistry and RNA sequencing, we determined the differences in immunohistochemical biomarkers, gene ontologies, molecular pathways and immune cell fractions based on CCTR. TNBC shows a significantly lower median CCTR compared to luminal A (p < 0.01), luminal B (p < 0.01), and HER2+ samples (p < 0.01). CCTR outperformed both KI and MI in effectively risk-stratifying TNBC patients suggesting that combining KI and MI into a single metric, namely CCTR, could serve as a superior prognostic marker for Breast Cancer Specific Survival (BCSS) (p = 0.041). CCTR-high group exhibited enriched expression of various oncogenic signatures, including angiogenesis, epithelial-to-mesenchymal transition (EMT), Hedgehog signaling, hypoxia, Notch signaling, PI3K-AKT-mTOR signaling, TGFβ signaling, p53 signaling, and TNFα signaling via NFκB. These findings suggest the potential involvement of these pathways in the aggressiveness and clinical outcomes of TNBC patients. Collectively, these findings suggest that CCTR offers superior predictive information compared to KI and MI alone with respect to long-term outcomes from adjuvant chemotherapy in patients with TNBC that may guide treatment decision making.

Abstract 4135447: Demographics, Clinicopathological Outcomes and Comparative Survival Analysis of Pleural and Pericardial Mesothelioma; A Retrospective Population-Based Study

Background: Malignant mesothelioma (MM) is an aggressive and rare tumor of mesothelial cells that is strongly correlated with asbestos exposure. Due to its long latency period, MM is characterized by its poor prognosis. In this study, we primarily analyzed data for the clinicopathological analysis of malignant pleural mesothelioma with comparative overall survival (OS) and cancer-specific survival (CSS) with primary pericardial mesothelioma. Method: The data was collected from the Epidemiology and End Results (SEER) database, comprising 12,991 mesothelioma patients from 2000 to 2020. Results: A total of 12,991 cases of MM were extracted from the database, of which 99.55% were pleural and only 0.177% were pericardial. The median age was 74 years. Regarding gender, 80% of the patients were male. MM was found to be more common in older age (&gt;65, 77%). 52% of the patients had a tumor size greater than 5 cm. The common histologic type was mesothelioma NOS (45%), followed by the epithelioid type (36%). The most common treatment modality was chemotherapy. Multivariate analysis showed better survival outcomes in younger, female patients undergoing combination therapies. Moreover, the histologic subtype, especially epithelioid mesothelioma, showed the overall best prognosis. Regarding comparative OS and CSS between pleural and pericardial mesothelioma, the 3-year OS of pleural mesothelioma was 11.2% (95% CI: 0.107 - 0.118) and for pericardial mesothelioma, the 3-year OS was 4.7% (95% CI: 0.007 - 0.317). Pleural mesothelioma had a 1-year CSS of 37.1% (95% CI: 0.343 - 0.401), and for pericardial mesothelioma, the CSS at 9 months was 28.6% (95% CI: 0.089 - 0.922), and all patients survived &lt; 1 year in the cohort. Conclusion: Malignant mesothelioma is a rare and aggressive tumor. Pericardial mesothelioma has lower survival in comparison to pleural mesothelioma. Genomic analysis and including all ethnicities in future clinical trials will help in future personalized therapeutic approaches.

Investigating the impact of tumor size on survival outcomes in thymoma and thymic carcinoma patients using the SEER database.

This study aims to clarify the impact of tumor size on the prognosis of patients diagnosed with thymoma and thymic carcinoma, leveraging data from a population-based registry. Utilizing the SEER database, this retrospective analysis identified patients diagnosed with thymoma and thymic carcinoma from 2000 to 2020. Propensity score matching was employed to mitigate potential statistical biases between groups categorized by tumor size (≤ 6.5cm and > 6.5cm). The study included a total of 3857 patients, comprising 2688 with thymoma and 1169 with thymic carcinoma. Multivariate analysis demonstrated that tumors ≤ 6.5cm independently correlated with improved Cancer-Specific Survival (CSS) (p = 0.001; p < 0.001) and Overall Survival (OS) (p < 0 .001; p < 0.001) in both thymoma and thymic carcinoma cohorts. Subgroup analysis revealed that smaller tumors (≤ 6.5cm) conferred survival benefits in patients with Masaoka-Koga stage IIB thymomas and stage III/IV thymic carcinomas (thymoma: CSS: p < 0.0001; OS: p = 0.00045; thymic carcinoma: CSS: p = 0.028; OS: p = 0.014). Additionally, WHO type A/AB/B1 and type B2/B3 thymomas with tumors ≤ 6.5cm exhibited superior CSS (p = 0.005; p < 0.00018) and OS (p = 0.015; p = 0.0021). Through propensity matching analysis utilizing the SEER database, this study underscores the prognostic significance of tumor size in both early-stage thymoma and advanced-stage thymic carcinoma, identifying a critical threshold of 6.5cm. In the WHO classification, tumor size based on the cut-off value of 6.5cm has a greater impact on the prognosis of type B2/B3 (high-risk group) than A/AB/B1 (low-risk group).

Long-term outcomes and prognostic factors of short-course radiotherapy (SCRT) in rectal cancer: a monocentric retrospective study.

To evaluate efficacy and tolerance of short-course radiotherapy (SCRT) prior to possible chemotherapy (CHT) and surgery in 64 patients with locally advanced rectal cancer, in terms of acute and early late toxicity and survival outcomes with prognostic factors. Sixty-four patients affected by rectal tumor were treated from 2008 to 2023 radiation therapy, with a total dose of 25Gy in 5 fractions. The Kaplan-Meier method was used to estimate the rates of overall survival (OS), cancer specific survival (CSS), local control (LC), disease free survival (DFS) and metastasis free survival (MFS). Univariate analysis for prognostic factors was performed with the log-rank test, and Cox proportional hazards regression was used to estimate hazard ratios. Toxicity assessment has been considered in acute and in early late for gastrointestinal (GI), genitourinary (GU) districts. Median follow-up was 49.6months. The median OS was 65months with 1-year, 2-year and 5-year OS at 90.6%, 77.7% and 60% respectively. CSS at the 1-year, 2-year and 5-year was 98.3%, 96.2% and 86.2% respectively. LC at 1-year, 2-year and 5-year was 93.4%, 89.4% and 87.2% respectively. DFS at the 1-year, 2-year and 5-year was 93.4%, 89% and 87% respectively. The status of lymph nodes at diagnosis was a prognostic factor in term of LC and DFS. Acute GI toxicity was G1 in 10 (15.6%) patients. Five (7.8%) patients had a G1 acute GU toxicity. Fifteen (23.4%) patients developed chronic GI toxicities. SCRT is an effective treatment in patients with rectal cancer and provides good outcomes with very low rates of toxicity profile.

Sex differences in prognosis of primary bone cancer: a propensity score-matched study

Abstract Objectives Sex differences in survival in primary bone cancer have not been fully explored. Hence, this study was conducted to investigate the impact of sex on survival outcomes in patients with primary bone cancer. Methods The Surveillance, Epidemiology, and End Results (SEER)-17 database was used to identify patients with primary bone cancer. One-to-one propensity score matching (PSM) was employed to balance baseline characteristics. Kaplan-Meier curves and log-rank tests were used to evaluate differences in cancer-specific survival (CSS) and overall survival (OS) between sexes. Multivariate Cox regression analysis was performed to verify the independent effect of sex on survival, and sensitivity analysis was performed to determine the robustness of the results. Results A total of 8,791 patients were included, with 4,928 males (56.1 %) and 3,863 females (43.9 %), and a median follow-up time of 38 months. After PSM, 3,812 males and 3,812 females were included in the study, with balanced baseline characteristics between the groups. Post-PSM, females show significantly better CSS (HR=0.88, 95 % CI, 0.81–0.96, p=0.004) and OS (HR=0.87, 95 % CI, 0.81–0.94, p&lt;0.001) compared to males. In multivariable Cox regression, the female sex was identified as an independent protective factor for both CSS (HR=0.86, 95 % CI, 0.79–0.94, p&lt;0.001) and OS (HR=0.83, 95 % CI, 0.77–0.89, p&lt;0.001). Conclusions Based on the analysis of SEER data with a large sample size, this study revealed that female patients with primary bone cancer have significantly better survival compared to males.

A population-based study using nomograms to predict overall and cancer-specific survival in HPV-associated CSCC.

Constructing and validating two nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) in cutaneous squamous cell carcinoma (CSCC) correlated with human papillomavirus (HPV) infection was the main goal of this study. We constructed predictive models for OS and CSS incidence in HPV infection-associated CSCC using information from 2238 patients in the Surveillance, Epidemiology, and End Results (SEER) database and screened the variables by LASSO regression, Cox univariate regression, and Cox multifactorial regression models, which were calibrated and validated by internal and external cohorts. Finally, all patients were categorized into intermediate-risk, low-risk, and high-risk groups based on the optimal threshold calculated from the total score. Multivariate analysis showed that HPV infection status, marital status, tumor metastatic stage, surgical status, radiotherapy status, lymph node biopsy, local lymph node dissection, primary tumor status, and bone metastasis were risk factors for OS and CSS. The C index, the time-dependent area under the receiver-operating characteristic curve, and the column-line diagrams of the calibration plot were among the excellent-performance metrics that were effectively displayed. Moreover, the decision curve analysis of the two nomograms consistently revealed their favorable net benefits spanning 1, 2, and 3 years. In addition, the survival curves indicate that each of the two risk classification systems clearly differentiates high, medium, and low risk groups. These meticulously crafted nomograms stand poised to serve as indispensable instruments in clinical practice, empowering clinicians to adeptly communicate with patients regarding their prognostic outlook over the forthcoming 1, 2, and 3 years.

The Demographic and Clinical Characteristics, Prognostic Factors, and Survival Outcomes of Head and Neck Carcinosarcoma: A SEER Database Analysis

Background: Head and neck carcinosarcoma (HNCS) is a rare and highly aggressive malignancy with limited research, resulting in an incomplete understanding of disease progression and a lack of reliable prognostic tools. This study aimed to retrospectively analyze the clinical characteristics and outcomes of HNCS patients using data from the Surveillance, Epidemiology, and End Results (SEER) database and to develop a nomogram to predict overall survival (OS) and cancer-specific survival (CSS). Methods: Patients diagnosed with HNCS from 1975 to 2020 were identified in the SEER database. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic indicators, with the optimal model selected using the minimal Akaike Information Criterion (AIC). The identified prognostic factors were incorporated into nomograms to predict OS and CSS. Model performance was assessed using the concordance index (C-index), area under the curve (AUC), calibration curves, and decision curve analysis (DCA). Survival curves were generated using Kaplan–Meier analysis and compared via the log-rank test. Results: A total of 152 HNCS patients were included, with 108 assigned to the training cohort and 44 to the validation cohort in a 7:3 ratio. Prognostic factors including age, primary tumor site, marital status, radiotherapy, chemotherapy, tumor size, pathological grade, and tumor stage were incorporated into the nomogram models. The models demonstrated strong predictive performance, with C-index values for OS and CSS of 0.757 and 0.779 in the training group, and 0.777 and 0.776 in the validation group, respectively. AUC values for predicting 3-, 5-, and 10-year OS were 0.662, 0.713, and 0.761, and for CSS the values were 0.726, 0.703, and 0.693. Kaplan–Meier analysis indicated significantly improved survival for patients with lower risk scores. The 3-, 5-, and 10-year OS rates for the entire cohort were 54.1%, 45.6%, and 35.1%, respectively, and the CSS rates were 62.9%, 57.5%, and 52.2%, respectively. Conclusions: This study provides validated nomograms for predicting OS and CSS in HNCS patients, offering a reliable tool to support clinical decision-making for this challenging malignancy. These nomograms enhance the ability to predict patient prognosis and personalize treatment strategies.

Combined fibrinogen concentration and neutrophil-to-lymphocyte ratio, an integrative model of the inflammatory response and coagulation cascades, for predicting prognosis in patients with upper tract urothelial carcinoma.

Inflammation and coagulation cascades are closely correlated with cancer occurrence and progression. This study investigated the prognostic value of the combination of plasma fibrinogen level and neutrophil-to-lymphocyte ratio (F-NLR) in patients with upper tract urothelial carcinoma (UTUC). The predictive ability of the F-NLR for overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS) was initially established and then further validated in patients who underwent radical nephroureterectomy for UTUC. As a result, patients were divided into three groups following the establishment of cut-off values for the NLR (≥2.53 vs. <2.53) and fibrinogen (≥4.55 vs. <4.55) through receiver operating characteristic (ROC) curve analysis: F-NLR score 0 (low fibrinogen and low NLR), 2 (high fibrinogen and high NLR), or 1 (remaining patients). The F-NLR score was then identified as an independent risk factor for OS, CSS, and PFS (all P-value <0.05) by multivariate regression analysis in both the training and validation cohorts. In addition, F-NLR-based nomograms for OS, CSS, and PFS were developed and evaluated using the concordance index (C-index) and calibration curves. The integration of the F-NLR into existing nomograms improved predictive accuracy compared to the use of nomograms without the F-NLR score. This suggests that the addition of F-NLR is beneficial for enhancing the accuracy of prognosis prediction in patients with UTUC. The F-NLR score may serve as a powerful predictor for patients with UTUC.

Individualised prediction of chemotherapy benefit in early-onset colorectal cancer

PurposesWhether patients with early-onset colorectal cancer (EOCRC) receive chemotherapy has been controversial, so our study aimed to screen patients with EOCRC who benefit from chemotherapy.MethodsA total of 2166 EOCRC patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were divided into chemotherapy and non-chemotherapy groups, propensity score matching (PSM) was performed to balance the differences between the groups, and the Kaplan–Meier method was used to calculate the cancer-specific survival (CSS) of EOCRC patients. Multifactorial COX regression analysis was used to identify independent prognostic factors for CSS and to construct a nomogram for predicting CSS in EOCRC patients. The overall risk score was calculated based on Nomogram, and EOCRC patients were classified into high-risk and low-risk groups to assess further chemotherapy's therapeutic effect on patients with different risk stratification.ResultsBefore PSM, patients in the chemotherapy group had poorer CSS (p < 0.001). After PSM, there was no significant difference in patient CSS between the two groups (p = 0.057). Independent prognostic factors (Race, Grade, Pathology, AJCC.N, AJCC.M, CEA, Marital. Status) were screened according to multifactorial COX regression analyses and included in the Nomogram predicting CSS in EOCRC patients. A risk stratification system for EOCRC patients was further developed, and the results showed that chemotherapy had no significant effect on CSS in the low-risk group of patients, but in the high-risk group, chemotherapy significantly improved CSS in EOCRC patients.ConclusionsWe developed a clinical risk model by combining different risk factors, which can accurately screen those with high-risk EOCRC for benefit from chemotherapy. For low-risk EOCRC patients, our results did not observe a better survival benefit from chemotherapy, and more prospective studies are needed in the future to prove our conclusions.

The prognostic value of visible hematuria is only significant in T1a renal cell carcinoma: a single-center retrospective study

ObjectivesTo investigate the prognostic value of visible hematuria in T1a renal cell carcinoma (RCC).Materials and methodsIn the RCC database of the Chinese People’s Liberation Army General Hospital Department of Urology, we assembled the records of patients with unilateral RCC over 18 years of age diagnosed between 2008 and 2019. The clinical stage was cT1, and the tumors ranged in size from 0 to 7 cm. The primary treatments were partial nephrectomy (PN) or radical nephrectomy (RN). Logistic regression analysis, Cox regression, interaction analysis, and Kaplan-Meier survival analysis were used to study the correlation between visible hematuria and progression-free survival (PFS), and cancer-specific survival (CSS).ResultsA total of 7,610 patients with cT1 RCC comprised the study population, including 505 RCC patients with visible hematuria. The average follow-up time was 64.6 months (range: 12–144 months). Visible hematuria was significantly associated with the prognosis (PFS, hazard ratio [HR] = 2.7, P < 0.001; CSS, HR = 4.2, P < 0.001) of T1a RCC, but was more significant for CSS in cases of a tumor size ≤ 2 cm (HR = 26.8, P = 0.026). This effect was not significant in T1b RCC (PFS, HR = 0.7, P = 0.153; CSS, HR = 1.1, P = 0.862). The interaction between visible hematuria and tumor size was significant (P = 0.001).ConclusionsThis study showed that visible hematuria was an independent risk factor for PFS and CSS in T1a RCC. The predictive value of visible hematuria for CSS was more significant in RCCs ≤ 2 cm, but did not reach statistical significance in T1b RCC. T1a RCC patients with visible hematuria should be intensively monitored during follow-up.

Gender-specific differences in recurrence and progression following BCG instillation for NMIBC.

To assess gender-specific differences in recurrence-free (RFS), progression-free (PFS), cancer-specific survival (CSS) and overall survival (OS) among patients with intermediate or high-risk non-muscle invasive bladder cancer (NMIBC) receiving BCG is the primary aim of this systematic review and meta-analysis. In July 2023, we performed a literature search using MEDLINE, Embase and Cochrane Library. This study was prospectively registered at PROSPERO (CRD 2023443269). The detailed review protocol is accessible via CRD. The systematic literature search identified 6,723 studies, of which 38 fulfilled the inclusion criteria. Random effect meta-analysis for RFS, based on data from 24 studies, revealed no statistically significant gender-specific difference (HR comparing males to females=0.9618, 95% CI: 0.8408-1.1003, p=0.5707). Similarly, for PFS, incorporating data from 14 studies, no statistically significant difference (HR =0.9540, 95% CI: 0.7709- 1.1805, p=0.6648), for CSS, analysis of data from three studies yielded no statistically significant difference (HR =0.9228, 95% CI: 0.6196-1.3743, p=0.6925), and for OS, based on data from two studies, no statistically significant difference was observed (HR = 1.1436, 95% CI: 0.5092-2.5684, p=0.7452). The risk of bias assessment indicated an overall moderate to high risk of bias. The findings indicate no association between gender and oncologic outcomes following BCG.

Genetic variants in folate metabolism-related genes, serum folate and hepatocellular carcinoma survival: the Guangdong Liver Cancer Cohort study.

Folate metabolism is involved in the development and progression of various cancers. We investigated the association of single nucleotide polymorphisms (SNP) in folate-metabolising genes and their interactions with serum folate concentrations with overall survival (OS) and liver cancer-specific survival (LCSS) of newly diagnosed hepatocellular carcinoma (HCC) patients. We detected the genotypes of six SNPin three genes related to folate metabolism: methylenetetrahydrofolate reductase (MTHFR), 5-methyltetrahydrofolate-homocysteine methyltransferase reductase (MTRR) and 5-methyltetrahydrofolate-homocysteine methyltransferase (MTR). Cox proportional hazard models were used to calculate multivariable-adjusted hazard ratios (HR) and 95 % CI. This analysis included 970 HCC patients with genotypes of six SNP, and 864 of them had serum folate measurements. During a median follow-up of 722 d, 393 deaths occurred, with 360 attributed to HCC. In the fully-adjusted models, the MTRR rs1801394 polymorphism was significantly associated with OS in additive (per G allele: HR = 0·84, 95 % CI: 0·71, 0·99), co-dominant (AG v. AA: HR = 0·77; 95 % CI: 0·62, 0·96) and dominant (AG + GG v. AA: HR = 0·78; 95 % CI: 0·63, 0·96) models. Carrying increasing numbers of protective alleles was linked to better LCSS (HR10–12 v. 2–6 = 0·70; 95 % CI: 0·49, 1·00) and OS (HR10–12 v. 2–6 = 0·67; 95 % CI: 0·47, 0·95). Furthermore, we observed significant interactions on both multiplicative and additive scales between serum folate levels and MTRR rs1801394 polymorphism. Carrying the variant G allele of the MTRR rs1801394 is associated with better HCC prognosis and may enhance the favourable association between higher serum folate levels and improved survival among HCC patients.

Epidemiologic trends and survival outcomes in patients with primary digestive system lymphoma in the United States.

Primary digestive system lymphoma (PDSL) is an important entity of extranodal lymphoma, yet updated epidemiologic and survival data are lacking. Patients diagnosed with PDSL between 1975 and 2020 were identified from the Surveillance, Epidemiology, and End Results database. Kaplan-Meier analysis estimated survival outcomes. Multivariable Cox regression identified independent risk factors, and nomograms were developed to predict 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS). A total of 30,568 patients with PDSL were identified, with 57.9% being male and 80.4% white. The most frequent tumor site was the stomach (48.7%) and diffuse large B-cell lymphoma (DLBCL) was the predominant histologic subtype (45.0%). The overall incidence from 2016 to 2020 was 11.11 per 1,000,000 persons, with a decrease observed in lymphoma rates for the stomach, small intestine, large intestine, and pancreas. Long-term trends showed an initial rise in PDSL incidence, followed by a decline since the 1990s. The median OS across all patients was 103months, with appendiceal lymphoma showing the highest median OS of 253months. Factors including diagnosis year, age, sex, race, primary tumor site, histologic subtype, stage, and treatment modalities were significantly associated with OS and CSS. Nomograms achieved C-indices of 0.720 for OS and 0.723 for CSS in the training cohort. The incidence of PDSL initially increased but has recently declined. Survival for all PDSL patients has improved over time. Nomograms to predict survival for patients with DLBCL exhibited good predictive and discriminating abilities.