Cancer-specific Survival Probabilities Research Articles

Long-term recurrence risk, metastatic potential and length of cystoscopic surveillance of low-grade non-muscle invasive bladder cancer.

Patients with Ta low-grade (LG) non-muscle invasive bladder cancer (NMIBC) rarely develop metastases or die from it. Long-term data are scant and length of follow-up poorly defined. This retrospective study included 521 patients diagnosed with primary TaLG (n=491) or papillary urothelial neoplasm of low malignant potential (PUNLMP, n=30) from 1989-2019 at an Academic center. Patient data was acquired using patient records chart review and a bladder cancer informatics registry at the center. Risk of recurrence, progression in stage, to muscle invasion, metastases and death due to BC were analyzed. RNAseq assessed the transcriptomic profiles of four TaLG that metastasized. Interobserver variability in pathological grading (WHO 2004/2022 and 1973, n=80) was blindly assessed by three expert pathologists. Median follow-up was 9.6 (95%CI: 8.6-10.2) years. Among 521 patients (73% men, median age 67.0 years), 350 recurred, 57 progressed in stage, 20 developed metastases, and 15 died from BC (median of 9.6 years after diagnosis). Cancer-specific survival probabilities were 0.99, 0.98 and 0.96 at 5-, 10- and 15- years, respectively. Fifty patients who were recurrence-free for the first 5 years developed late recurrences and 2 of them died of BC. Metastatic TaLG had more adverse transcriptomic findings in keeping with higher grade tumors despite phenotypically similar to indolent tumors. Grading concordance for the 2004/2022 system and WHO 1973 was 0.78 (95%CI: 0.65-0.90) and 0.41 (95%CI: 0.32-0.50), respectively. This study with long-term data challenges the assumption that primary TaLG NMIBC nearly never progresses to lethal disease if followed long enough. However, the risk of BC-related mortality is extremely low in patients who are recurrence-free for the first 5 years. Minimizing variability in pathological grading remains an unmet need.

Role of neoadjuvant chemotherapy in patients with locally advanced and clinically positive nodes Upper Tract Urothelial Carcinoma treated with Nephroureterectomy: real-world data from the ROBUUST 2.0 Registry.

To assess the impact of neoadjuvant and adjuvant chemotherapy on survival outcomes, within a large multicenter cohort of Upper tract urothelial carcinoma patients treated with Nephroureterectomy. A multicenter retrospective analysis utilizing the Robotic surgery for Upper Tract Urothelial Cancer Study registry was performed. Baseline, preoperative, perioperative, and pathologic variables of three groups of patients receiving surgery only, neoadjuvant or adjuvant chemotherapy were compared. Categorical and continuous variables among the three subgroups were compared with Chi square and ANOVA tests. The impact of perioperative chemotherapy on survival outcomes was assessed with the Kaplan Meier method. Univariable and multivariable Cox regression analyses were performed to identify predictors of survival. Overall, 1,994 patients were included. Overall and Clavien grade ≥3 complications rates were comparable among the three subgroups (p = 0.65 and p = 0.92). At Kaplan Meier analysis, neoadjuvant chemotherapy significantly improved cancer-specific survival (p = 0.03) and overall survival (p = 0.03) probabilities of patients with cT ≥ 3 tumors and of those with positive cN (p = 0.03 and p = 0.02). On multivariable analysis, neoadjuvant chemotherapy was independently associated with an improvement of cancer-specific survival in cT ≥ 3 patients (HR 0.44; p = 0.04), and of both cancer-specific survival (HR 0.50; p = 0.03) and overall survival (HR 0.53; p = 0.02) probabilities in positive cN patients. This large multicenter retrospective analysis suggests significant survival benefit in Upper tract urothelial carcinoma patients with either locally advanced or clinically positive nodes disease receiving neoadjuvant chemotherapy. These findings can be regarded as "hypothesis generating", stimulating future trials focusing on such advanced stages.

Predicting Survival of Metastatic Clear Cell Renal Cell Cancer Treated with VEGFR-TKI-Based Sequential Therapy.

(1) Objective: To develop a clinically useful nomogram that may provide a more individualized and accurate estimation of cancer-specific survival (CSS) for patients with clear-cell (CC) metastatic renal cell carcinoma (mRCC) treated with nephrectomy and vascular endothelial growth factor receptor-tyrosine kinase inhibitor (VEGFR-TKI)-based sequential therapy. (2) Methods: A prospectively maintained database of 145 patients with mRCC treated between 2008 and 2018 was analyzed to predict the CSS of patients receiving sunitinib and second- and third-line therapies according to current standards of practice. A nomogram based on four independent clinical predictors (Eastern Cooperative Oncology Group status, International Metastatic RCC Database Consortium score, the Morphology, Attenuation, Size and Structure criteria and Response Evaluation Criteria in Solid Tumors response criteria) was calculated. The corresponding 1- to 10-year CSS probabilities were then determined from the nomogram. (3) Results: The median age was 60 years (95% CI 57.9-61.4). The disease was metastatic at diagnosis in 59 (40.7%), and 86 (59.3%) developed metastasis during follow-up. Patients were followed for a median 48 (IQR 72; 95% CI 56-75.7) months after first-line VEGFR-TKI initiation. The concordance probability estimator value for the nomogram is 0.778 ± 0.02 (mean ± SE). (4) Conclusions: A nomogram to predict CSS in patients with CC mRCC that incorporates patient status, clinical risk classification and response criteria to first-line VEGFR-TKI at 3 months is presented. This new tool may be useful to clinicians assessing the risk and prognosis of patients with mRCC.

Long-Term Oncologic Outcomes of Off-Clamp Robotic Partial Nephrectomy for Cystic Renal Tumors: A Propensity Score Matched-Pair Comparison of Cystic versus Pure Clear Cell Carcinoma.

Few data are available on survival outcomes of partial nephrectomy performed for cystic renal tumors. We present the first long-term oncological outcomes of cystic (cystRCC) versus pure clear cell renal cell carcinoma (ccRCC) in a propensity score-matched (PSM) analysis. Our "renal cancer" prospectively maintained database was queried for "cystRCC" or "ccRCC" and "off-clamp robotic partial nephrectomy" (off-C RPN). The two groups were compared for age, gender, tumor size, pT stage, and Fuhrman grade. A 1:3 PSM analysis was applied to reduce covariate imbalance to <10% and two homogeneous populations were generated. Student t- and Chi-square tests were used for continuous and categorical variables, respectively. Ten-year oncological outcomes were compared between the two cohorts using log-rank test. Univariable Cox regression analysis was used to identify predictors of disease progression after RPN. Out of 859 off-C RPNs included, 85 cases were cystRCC and 774 were ccRCC at histologic evaluation. After applying the PSM analysis, two cohorts were selected, including 64 cystRCC and 170 ccRCC. Comparable 10-year cancer-specific survival probability (95.3% versus 100%, p = 0.146) was found between the two cohorts. Conversely, 10-year disease-free survival probability (DFS) was less favorable for pure ccRCC than cystRCC (66.69% versus 90.1%, p = 0.035). At univariable regression analysis, ccRCC histology was the only independent predictor of DFS probability (HR 2.96 95% CI 1.03-8.47, p = 0.044). At the 10-year evaluation, cystRCC showed favorable oncological outcomes after off-C RPN. Pure clear cell variant histology displayed a higher rate of disease recurrence than cystic lesions.

A prognostic nomogram for the cancer-specific survival rate of choroidal melanoma using the Surveillance, Epidemiology, and End Results database.

This study was conducted to develop a comprehensive nomogram for individuals with choroidal melanoma (CM) to determine their cancer-specific survival (CSS). Data of individuals with CM, diagnosed between 2004 and 2015, were accessed at the Surveillance, Epidemiology, and End Results (SEER) database. The selected individuals were randomly categorized into a training and validation cohort. Multivariate Cox regression analysis was applied to screen the relevant variables. Followed by the development of a nomogram based on independent variables. Ultimately, the net reclassification index (NRI), concordance index (C-index), calibration charts, integrated discrimination improvement (IDI), receiver operating characteristic curves (ROC), area under the curve (AUC), and decision-curve analysis (DCA), were utilized to evaluate the discrimination, accuracy, and effectiveness of the model. This study enrolled 3,782 patients. Seven independent factors linked to prognosis were screened via multivariate Cox regression analysis, encompassing age at diagnosis; race; AJCC (American Joint Committee on Cancer) stage; histologic type; and therapy method of radiotherapy, surgery, and chemotherapy. The respective C-indexes of the training and validation cohorts were 0.709 and 0.726, indicative of the excellent accuracy of the nomogram. Furthermore, the AUCs of the training and validation cohorts across 3, 5, and 8 years were 0.767, 0.744, and 0.722 as well as 0.772, 0.770, and 0.753, respectively. Evident of the superiority of the established nomogram over the AJCC staging, both the NRI and IDI values exhibited improvement. The favorable clinical impact and good performance of the nomogram were evident via decision curve analyses (DCAs) and calibration plots, respectively. This research dealt with establishing and validating a nomogram as a prognostic tool for assessing the prognosis of adult patients with CM utilizing the SEER database. A comprehensive assessment of the nomogram via diverse variables demonstrated its accuracy in predicting the CSS probabilities of CM patients across 3, 5, and 8 years in clinical settings. Notably, its performance surpassed that of the AJCC staging system.

Nomograms for predicting the overall and cancer-specific survival in patients with non-urothelial carcinoma of the bladder: A population-based study.

Non-urothelial carcinoma of the bladder (NUCB) is a relatively rare condition, with limited comprehensive studies conducted to date. This research aims to establish nomograms for forecasting overall survival (OS) and cancer-specific survival (CSS) in NUCB patients. It utilizes data of 2,522 patients from the Surveillance, Epidemiology, and End Results (SEER) database spanning from 2004 to 2015. The effectiveness of these nomograms was assessed using receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA). Key independent predictors for OS included age, race, marital status, histological variants, grade, T stage, N stage, M stage, radical cystectomy and chemotherapy administration. For CSS, the predictors were similar, encompassing age, sex, marital status, histological variants, grade, T stage, N stage, M stage, radical cystectomy and chemotherapy. The nomograms showed strong predictive accuracy. In the training cohort, the area under the curve (AUC) values were 0.796 (OS) and 0.799 (CSS) at 1-year, 0.807 (OS) and 0.824 (CSS) at 3-year, and 0.807 (OS) and 0.827 (CSS) at 5-year intervals. In the validation cohort, AUC values were 0.798 (OS) and 0.798 (CSS) at 1-year, 0.810 (OS) and 0.826 (CSS) at 3-year, and 0.811 (OS) and 0.825 (CSS) at 5-year intervals, consistently around 0.8. Calibration curves indicated high congruence between predicted and actual probabilities of OS and CSS, while DCA demonstrated the models' substantial clinical utility. Overall, this study successfully developed and validated prognostic nomograms for NUCB, capable of accurately predicting OS and CSS at 1-, 3-, and 5-years, thereby offering valuable support in clinical decision-making and the design of clinical trials.

Comparison of Perioperative, Functional, and Oncologic Outcomes of Open vs. Robot-Assisted Off-Clamp Partial Nephrectomy: A Propensity Scored Match Analysis.

Off-clamp partial nephrectomy represents one of the latest developments in nephron-sparing surgery, with the goal of preserving renal function and reducing ischemia time. The aim of this study was to evaluate and compare the functional, oncologic, and perioperative outcomes between off-clamp robot-assisted partial nephrectomy (off-C RAPN) and off-clamp open partial nephrectomy (off-C OPN) through a propensity score-matched (PSM) analysis. A 1:1 PSM analysis was used to balance variables potentially affecting postoperative outcomes. To report surgical quality, 1 year trifecta was used. Univariable Cox regression analysis was performed to identify predictors of trifecta achievement. The Kaplan-Meier method was used to compare cancer-specific survival (CSS), overall survival (OS), disease-free survival (DFS), and metastasis-free survival (MFS) probabilities between groups. Overall, 542 patients were included. After PSM analysis, two homogeneous cohorts of 147 patients were obtained. The off-C RAPN cohort experienced shorter length of stay (LoS) (3.4 days vs. 5.4 days; p < 0.001), increased likelihoods of achieving 1 year trifecta (89.8% vs. 80.3%; p = 0.03), lower postoperative Clavien-Dindo ≤ 2 complications (1.3% vs. 18.3%, p < 0.001), and lower postoperative transfusion rates (3.4% vs. 12.2%, p = 0.008). At univariable analysis, the surgical approach (off-C RAPN vs. off-C OPN, OR 2.22, 95% CI 1.09-4.46, p = 0.02) was the only predictor of 1 year trifecta achievement. At Kaplan-Meier analysis, no differences were observed between the two groups in terms of OS (log-rank p = 0.451), CSS (log-rank p = 0.476), DFS (log-rank p = 0.678), and MFS (log-rank p = 0.226). Comparing RAPN and OPN in a purely off-clamp scenario, the minimally invasive approach proved to be a feasible and safe surgical approach, with a significantly lower LoS and minor rate of postoperative complications and transfusions as a result of improved surgical quality expressed by higher 1 year trifecta achievement.

Implications of Pretreatment Serum Carcinoembryonic Antigen Levels and Perineural Invasion with Staging, Prognosis, and Management in Stage I-III Colon Cancer after Surgery: A Retrospective Cohort Study in the SEER Database.

Pretreatment levels of serum carcinoembryonic antigen (CEA) and perineural invasion (PNI) are related to poor prognosis in colon cancer. We analyzed the CEA and PNI (defined as incorporation of carcinoembryonic antigen and perineural invasion (CP)-stage), which are included in the Tumor-Node-Metastasis (TNM) staging system of the American Joint Committee on Cancer (AJCC), and evaluated the survival prognosis of patients treated with surgery in I-III stage colon carcinoma. We employed a retrospective study for eligible colon carcinoma patients obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Kaplan-Meier curve and Multivariate Cox regression analysis were used to analyze different TNM-CP stages for the cancer-specific survival (CSS) probabilities in colon cancer. In our study, CEA levels and PNI were significant prognostic factors (p < 0.05), and the newly proposed CP-stage was an independent prognostic index in stage I-III colon carcinoma after surgery. Multivariate Cox regression analyses indicated that CP1-stage was related to a 63.9% increased risk of cancer-specific mortality (hazard ratio (HR): 1.639, 95% confidence interval (CI): 1.544-1.739, p < 0.001), compared with CP0-stage in colon cancer. In respective TNM stages, the CP0-stage had an advantage over the CP1-stage for CSS (p < 0.001). Moreover, CP1-stage patients with node-negative colon cancer were contacted with similar or worse survival in comparison to CP0-stage patients with node-positive. For postoperative patients with stage I-III colon cancer, our study indicated that the CP stage is a significant prognostic factor for CSS, which deserves more clinical attention. It's worth noting that including the CP stage in the AJCC TNM staging system of colon carcinoma is beneficial to the survival prediction and clinical treatment.

Multivariable model versus AJCC staging system: cancer-specific survival predictions in adrenocortical carcinoma.

We developed a novel contemporary population-based model for predicting cancer-specific survival (CSS) in adrenocortical carcinoma (ACC) patients and compared it with the established 8th edition of the American Joint Committee on Cancer staging system (AJCC). Within the Surveillance, Epidemiology, and End Results database (2004-2020), we identified 1056 ACC patients. Univariable Cox regression model addressed CSS. Harrell's concordance index (C-index) quantified accuracy after 2000 bootstrap resamples for internal validation. The multivariable Cox regression model included the most informative, statistically significant predictors. Calibration and decision curve analyses (DCAs) tested the multivariable model as well as AJCC in head-to-head comparisons. Age at diagnosis (>60 vs ≤60 years), surgery, T, N, and M stages were included in the multivariable model. Multivariable model C-index for 3-year CSS prediction was 0.795 vs 0.757 for AJCC. Multivariable model outperformed AJCC in DCAs for the majority of possible CSS-predicted values. Both models exhibited similar calibration properties. Finally, the range of the multivariable model CSS predicted probabilities raged 0.02-75.3% versus only four single AJCC values, specifically 73.2% for stage I, 69.7% for stage II, 46.6% for stage III, and 15.5% for stage IV. The greatest benefit of the multivariable model-generated CSS probabilities applied to AJCC stage I and II patients. The multivariable model was more accurate than AJCC staging when CSS predictions represented the endpoint. Additionally, the multivariable model outperformed AJCC in DCAs. Finally, the AJCC appeared to lag behind the multivariable model when discrimination addressed AJCC stage I and II patients.

Changes in the Perioperative Management and Outcomes of Patients With Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy at Memorial Sloan Kettering Cancer Center: Over 20 Years of Experience.

We evaluated surgical trends, perioperative management evolution, and oncologic outcomes in patients who underwent radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC) at a tertiary cancer center over a 24-year period. Between 1995 and 2018, we evaluated 743 consecutive patients with UTUC who underwent RNU. Generalized additive models were used to estimate the associations between date of surgery and continuous outcomes using a linear model, dichotomous outcomes using a logit link, categorical outcomes using multinomial models, and 2- and 5-year survival outcomes using Cox proportional hazards models. Over the study period, preoperative diagnostic endoscopic biopsies increased from 10% to 66%, along with the proportion of patients who underwent RNU for high-grade disease from 55% to 91%. The rate of open RNU declined from 100% to 56% with a rise in minimally invasive approaches. Median lymph node yield increased with more retroperitoneal lymph node dissections performed. Neoadjuvant chemotherapy utilization increased with a contemporary utilization rate of 32%, coinciding with an increase in pT0 rate from 2% to 8%. Cancer-specific survival probabilities improved over the study period, while metastasis-free and overall survival remained stable. We found several changes in treatment patterns and outcomes for patients with UTUC over the past 2 decades. How individual alterations in management factors, such as patient selection, perioperative chemotherapy, lymphadenectomy, and salvage therapies, impact patient outcomes is challenging in the setting of multiple overlapping practice changes for this rare disease and warrants further investigation.

Association between time from diagnosis to treatment and survival of patients with nasopharyngeal carcinoma: A population-based cohort study

BackgroundTreatment delays have frequently been observed in cancer patients. Whether the treatment delays would impair the survival of patients with nasopharyngeal carcinoma (NPC) is still unclear. MethodsThe data were derived from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Patients were divided into groups of timely treatment (<1 month), intermediate delay (1 and 2 months), and long delay (3–6 months). The influence of different treatment delay intervals on long-term survival was evaluated by multivariate Cox regression analysis. ResultsIn total, 2,048 patients with NPC were included in our study. There were 551 patients in the early stage (I, II stage: 26.9 %) and 1,497 patients in the advanced stage (III, IV stage: 73.1 %). No significant difference in overall survival (OS) or cancer-specific survival (CSS) was observed among the groups with various treatment delay intervals (p = 0.48 in OS and p = 0.43 in CSS, respectively). However, upon adjusting for covariates, a significantly improved OS probability emerged in patients with intermediate treatment delays compared to those who received timely interventions in both the entire study population (adjustedHazard Ratio (aHR)=0.86, 95 % CI: 0.74–0.99, p = 0.043) and the subgroup with advanced stage (aHR=0.85, 95 % CI: 0.72–1.00, p = 0.049). Regarding the CSS probability, similar associations were also observed in the entire study population (aHR=0.84, 95 % CI: 0.71–0.98, p = 0.030) as well as the advanced-stage patients (aHR=0.83, 95 % CI: 0.70–0.99, p = 0.038). ConclusionsOur results revealed that treatment delays are not associated with worse survival of NPC patients. Tumor-specific characteristics and subsequent treatment modalities play more pivotal roles in the prognosis of NPC.

Development and validation of nomograms for predicting survival in small cell lung cancer patients with brain metastases: a SEER population-based analysis.

To develop prognostic nomograms for overall survival (OS) and cancer-specific survival (CSS) probabilities in small cell lung cancer (SCLC) patients with brain metastasis (BM). SCLC patients with BM from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2015) were randomly allocated to training (n=1771) and validation (n=757) cohorts. Independent prognostic factors for OS and CSS were determined using univariate and multivariate Cox regression analyses in the training cohort, and prognostic nomograms for OS and CSS were constructed based on these factors. The efficacy of the nomograms was assessed using area under the receiver operating characteristic (ROC) curves (AUCs), calibration curves, decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI), with the TNM staging model as a comparator. Multivariate Cox analysis identified age, sex, race, tumor size, N staging, and presence of liver/bone/lung metastases, chemotherapy, and radiotherapy as independent prognostic factors for both OS and CSS. Prognostic nomograms were developed based on these factors. In both the training and validation cohorts, the AUC values of the nomograms for OS and CSS were significantly above 0.7, surpassing those for TNM staging. Calibration curves demonstrated a high degree of concordance between predicted and actual survival. The constructed nomograms showed superior clinical utility compared to the TNM staging system, as evidenced by NRI, IDI, and DCA. This retrospective study successfully developed and validated prognostic nomograms for SCLC patients with BM, providing valuable tools for oncologists to enhance prognosis evaluation and guide clinical decision-making.

Prognostic model for oversurvival and tumor-specific survival prediction in patients with advanced extrahepatic cholangiocarcinoma: a population-based analysis

BackgroundThe prognosis of patients with extrahepatic cholangiocarcinoma (ECCA) must be determined with precision. However, the usual TNM staging system has the drawback of ignoring age, adjuvant therapy, and gender and lacks the ability to more correctly predict patient prognosis. Therefore, we determine the risk factors of survival for patients with advanced ECCA patients and developed brand-new nomograms to forecast patients with advanced ECCA’s overall survival (OS) and cancer-specific survival (CSS).MethodFrom the Epidemiology and End Results (SEER) database, patients with advanced ECCA were chosen and randomly assigned in a ratio of 6:4 to the training and validation subgroups. The cumulative incidence function (CIF) difference between groups was confirmed by applying Gray’s and Fine test and competing risk analyses. Next, the cancer-specific survival (CSS) and overall survival (OS) nomograms for advanced ECCA were developed and validated.ResultsIn accordance with the selection criteria, 403 patients with advanced ECCA were acquired from the SEER database and then split at random into two groups: a training group (n = 241) and a validation group (n = 162). The 1-, 2-, and 3-year cancer-specific mortality rates were 58.7, 74.2, and 78.0%, respectively, while the matching mortality rates for the competition were 10.0, 13.8, and 15.0%. Nomograms were generated for estimating OS and CSS, and they were assessed using the ROC curve and the C-index. The calibration curves showed that there was a fair amount of agreement between the expected and actual probabilities of OS and CSS. Additionally, greater areas under the ROC curve were seen in the newly developed nomograms for OS and CSS when compared to the 7th AJCC staging system. The advanced ECCA patients were divided into groupings with an elevated risk and those with a low risk and the Kaplan-Meier method was used for the survival analysis, which showed that survival time was shorter in the high-risk group than in the low-risk group.ConclusionThe proposed nomograms have good predictive ability. The nomograms may can help doctors determine the prognosis of patients with advanced ECCA as well as provide more precise treatment plans for them.

The value of MRI in quantification of parametrial invasion and association with prognosis in locally advanced cervical cancer: the "PLACE" study.

This retrospective observational study aims to evaluate the association between the extent of parametrial invasion (PMI) and disease-free survival (DFS) and cancer-specific survival (CSS) in patients with locally advanced cervical cancer (LACC). This study included patients with LACC showing parametrial invasion at Magnetic Resonance Imaging (MRI). They were treated with neoadjuvant chemo-radiotherapy (CT/RT) before undergoing radical hysterectomy. The staging MRIs were reviewed retrospectively. Measurements of maximum PMI (PMImax) and parametrial length were taken bilaterally. After that, PMIratio was calculated by dividing PMImax by parametrial length. Analysis was conducted on homogeneous subsets of patients, grouped based on their pathological lymph nodal evaluation (N- and N+). Correlations between PMImax and PMIratio with DFS and CSS were evaluated in both the N- and N+ groups, employing univariable Cox regression analysis. Out of 221 patients, 126 (57%) had non-metastatic lymph nodes (N-), while 95 (43%) had metastatic lymph nodes (N+). The median observation period for all these patients was 73 months (95% confidence interval [CI]: 66-77). The 5-year DFS and CSS probability rates were 75% and 85.7%, respectively, for the N- group and 54.3% and 73.6%, respectively, for the N+ group. A higher PMImax (hazard ratio [HR] = 1.09) and PMIratio (HR = 1.04) correlated with worse overall survival in patients in the N- group (p= 0.025 and p= 0.042). These parameters did not show a significant statistical association in the N+ group. The degree of PMI evaluated on MRI affects outcome in N- patients with LACC. The degree of MRI parametrial invasion affects disease-free survival and cancer-specific survival in patients with the International Federation of Gynecology and Obstetrics (FIGO) stage IIB cervical cancer. This MRI finding can be easily incorporated into routine clinical practice. • Visual assessment of parametrial invasion on MRI was not significantly associated with prognosis in locally advanced cervical cancer (LACC). • A greater degree of parametrial invasion is associated with poorer disease-free survival and cancer-specific survival in patients with LACC without metastatic lymph node involvement. • The degree of parametrial invasion at MRI has no correlation with prognosis in LACC with metastatic lymph nodes.

Assessing the prognostic impact of prostatic urethra involvement and developing a nomogram for T1 stage bladder cancer

PurposeTo investigate prognostic values of prostatic urethra involvement (PUI) and construct a prognostic model that estimates the probability of cancer-specific survival for T1 bladder cancer patients.Method and materialsWe investigated the national Surveillance, Epidemiology, and End Results (SEER) database (2004–2015) to get patients diagnosed with T1 bladder cancer. An external validation cohort was obtained from the First Affiliated Hospital of Nanchang University. The Kaplan–Meier method with the log-rank test was applied to assess cancer-specific survival (CSS) and overall survival (OS). Moreover, the propensity score matching (PSM) and multivariable Cox proportional hazard model were performed. All patients were randomly divided into the development cohort and validation group at the ratio of 7:3. The performance of the model was internally validated by calibration curves and the concordance index (C-index).ResultsThe PUI group had a lower survival rate of both CSS and overall survival OS before and after PSM when compared to non-involved patients (All P < 0.05). Multivariate analysis revealed a poor prognosis in the PUI group for cancer-specific mortality (CSM) and all-cause mortality (ACM) analyses before and after PSM (All P < 0.05). Seven variables, including age, surgery, radiotherapy, tumour size, PUI, and marital status, were incorporated in the final nomogram. The C-index in the development cohort was 0.715 (0.711–0.719), while it was 0.672 (0.667–0.677) in the validation group. Calibration plots for 3- and 5-year cancer-specific survival showed good concordance in the development and validation cohorts.ConclusionsPUI was an independent risk factor of ACM and CSM in T1 bladder cancer patients. In addition, a highly discriminative and precise nomogram that predicted the individualized probability of cancer-specific survival for patients with T1 bladder cancer was constructed.

Development and validation of an online dynamic prognostic nomogram for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery: a population-based study.

Gallbladder cancer is the most common malignant tumor of the biliary system, most of which is adenocarcinoma. Our study explored developing and validating a nomogram to predict overall and cancer-specific survival probabilities internally and externally for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery. Patients screened and filtered in the Surveillance, Epidemiology, and End Results (SEER) database, whose years of diagnosis between 2010 and 2015 were collected as a derivation cohort, while those between 2016 and 2019 were a temporal validation cohort. Overall survival (OS) and cancer-specific survival (CSS) were chosen as the primary and secondary endpoints of the retrospective study cohort. Potential clinical variables were selected for a Cox regression model analysis by performing both-direction stepwise selection to confirm the final variables. The performance of final nomograms was evaluated by Harrell's C statistic and Brier score, with a graphical receptor operating characteristic (ROC) curve and calibration curve. Seven variables of age, race, tumor size, histologic grade, T stage, regional lymph nodes removed, and positive regional lymph nodes were finally determined for the OS nomogram; sex had also been added to the CSS nomogram. Novel dynamic nomograms were established to predict the prognosis of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery. The ROC curve demonstrated good accuracy in predicting 1-, 3-, and 5-year OS and CSS in both derivation and validation cohorts. Correspondingly, the calibration curve presented perfect reliability between the death or cancer-specific death probability and observed death or cancer-specific death proportion in both derivation and validation cohorts. Our study established novel dynamic nomograms based on seven and eight clinical variables separately to predict OS and CSS of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery, which might assist doctors in advising and guiding therapeutic strategies for postoperative gallbladder adenocarcinoma patients in the future.

Development of nomograms for predicting the survival of intestinal-type gastric adenocarcinoma patients after surgery

Intestinal-type gastric adenocarcinoma (IGA) is a common phenotype of gastric cancer. Currently, few studies have constructed nomograms that may predict overall (OS) and cancer-specific survival (CSS) probability after surgery. This study is to establish novel nomograms for predicting the survival of IGA patients who received surgery. A total of 1814 IGA patients who received surgery between 2000 and 2018 were selected from Surveillance, Epidemiology, and End Results database and randomly assigned to the training and validating sets at a ratio of 7:3. Then univariate and multivariate cox regression analyses were performed to screen significant indictors for the construction of nomograms. The calibration curve, the area under the receiver operating characteristic (receiver operating characteristic, ROC) curve (the area under curve, AUC), C-index, net reclassification index (NRI), integrated discrimination improvement (IDI) and decision curve analysis (DCA) curves were applied to assess the performance of the model. The significant outcomes of multivariate analysis revealed that ten variables (age, sex, race, surgery type, summary stage, grade, AJCC TNM stage, radiotherapy, number of regional nodes examined, number of regional nodes positive) were demonstrated to construct the nomogram for OS and ten variables (age, sex, race, surgery type, summary stage, grade, AJCC TNM stage, chemotherapy, number of regional nodes examined, number of regional nodes positive) for CSS. The calibration and AUC uncovered their favorable predictive performance. Subsequently, C-index, NRI, IDI and DCA curves further validated the predicative superiority of nomograms over 7th AJCC Stage System. The validated nomogram provides more reliable OS and CSS predictions for postoperative IGA patients with good accuracy, which can help surgeons in treatment decision-making and prognosis evaluation.

Conditional Prostate Cancer-Specific Survival Probabilities in Recurrent Prostate Cancer Patients Receiving Radiation ± Antiandrogen Therapy: Secondary Analysis of a Randomized Clinical Trial

Salvage radiation therapy (SRT) and androgen-deprivation therapy (ADT) are routinely used in patients with elevated prostate-specific antigen (PSA) levels after radical prostatectomy (RP) for prostate cancer (PCa). Although prostate cancer-specific survival (PCSS) following SRT is useful when counseling patients at the time of treatment, the utility of this data from time of diagnosis diminishes over time. Conditional survival (CS) can provide more relevant estimates, especially given long-term PCa survivorship. The primary aim of this study was to analyze CS estimates for recurrent PCa patients undergoing SRT ± ADT. The secondary objective was to determine if factors prognostic of PCSS at diagnosis remain relevant in survivorship. We analyzed data from 760 post-RP patients enrolled in NRG/RTOG 9601 (1998-2003). Eligible patients included men who had undergone prior RP and had pT2/T3 disease without nodal involvement and detectable PSA levels of 0.2-4.0 ng/mL. Patients were randomly assigned to undergo SRT and receive either 24 mo of ADT or placebo. OS was calculated (Kaplan-Meier), cumulative incidence was used to estimate PCSS rates, and prognostic factors associated with PCSS were analyzed by multivariable Cox proportional hazards modeling (MVA). Patients were followed for a median of 13 y. The 5- and 10-y PCSS estimates from diagnosis were 98.52% and 92.7%, respectively. At 1- (n = 755), 3- (n = 727), 5- (n = 680), and 8-y (n = 602) survivorship, chances of PCSS at an additional 5-y were 97.41%, 95.29%, 93.76%, and 91.04%, respectively. On MVA at diagnosis, omission of ADT (HR 2.156, P = 0.0003), increasing age (HR 1.833, P = 0.03), Gleason score (GS) 7 (HR 2.356, P = 0.0057), and GS 8-10 (HR 4.841, P < 0.0001) were associated with PCa-specific mortality. For those who achieved survivorship at 1-, 3-, 5-, and 8-y, all variables remained prognostic of PCa-specific mortality on MVA. Conditional risk of death from PCa for patients treated with SRT increases over time. The initial risk of dying from PCa over a given period, however, is higher than if already having survived a portion of that period. ADT, younger age, and lower GS continue to confer a reduced risk of PCa-specific mortality for long-term survivors. This data can be used to inform survivorship care planning, giving patients more relevant prognostic information during continued surveillance after completion of treatment.

Prostate Cancer–specific and All-cause Mortality After Robot-assisted Radical Prostatectomy: 20 Years’ Report from the European Association of Urology Robotic Urology Section Scientific Working Group

BackgroundEvidence on long-term oncological efficacy is available only for open radical prostatectomy but remains scarce for robot-assisted radical prostatectomy (RARP). ObjectiveTo validate the long-term survival rates after RARP and provide stratified outcomes based on contemporary prostate cancer (PCa) risk-stratification tools. Design, setting, and participantsA retrospective analysis of the European Association of Urology (EAU) Robotic Urology Section Scientific Working Group international multicenter database for RARP was performed. Patients who underwent RARP at seven pioneer robotic urology programs in Europe and the USA between 2002 and 2012 were included. Outcome measurements and statistical analysisThe primary outcomes were PCa-specific mortality and all-cause mortality. The probability of cancer-specific survival (CSS) was estimated with the competing risks method, and the probability of overall survival (OS) was estimated with the Kaplan-Meier method. Results and limitationsA total of 9876 patients who underwent RARP between 2002 and 2012 were included. Within follow-up, 1071 deaths occurred and 159 were due to PCa. At 15 yr of follow-up, CSS and OS were 97.6% (97.2%, 98.0%) and 85.5% (84.6%, 86.4%), respectively. Stratified analyses based on EAU risk groups at diagnosis and pT stage showed favorable survival rates, with low-risk (n = 4601, 46.6%), intermediate-risk (n = 4056, 41.1%), and high-risk (n = 1219, 12.3%) patients demonstrating CSS rates of 99%, 98%, and 90% at 15 yr, respectively. Notably, patients with pT3a disease had similar survival outcomes to those with pT2 disease, with worse CSS in patients with pT3b PCa (98.9% vs 97.4% vs 86.5%). Multivariable analyses identified age, prostate-specific antigen, biopsy Gleason grade group, clinical T stage, and treatment year as independent predictors of worse oncological outcomes. ConclusionsOur multicenter study with long-term follow-up confirms favorable survival outcomes after RARP for localized PCa. Patients with low- and intermediate-risk disease face a higher risk of mortality from causes other than PCa. On the contrary, high-risk patients have a significantly higher risk of PCa-specific mortality. Patient summaryIn the present study, we reported the outcomes of patients with prostate cancer (PCa) who underwent robot-assisted radical prostatectomy between 10 and 20 yr ago, and we found a very low probability of dying from PCa in patients with low- and intermediate-risk PCa.

Development and validation of nomogram models to predict radiotherapy or chemotherapy benefit in stage III/IV gastric adenocarcinoma with surgery.

The advanced gastric adenocarcinoma (GAC) patients (stage III/IV) with surgery may have inconsistent prognoses due to different demographic and clinicopathological factors. In this retrospective study, we developed clinical prediction models for estimating the overall survival (OS) and cancer-specific survival (CSS) in advanced GAC patients with surgery. A retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) database. The total population from 2004 to 2015 was divided into four levels according to age, of which 179 were younger than 45 years old, 695 were 45-59 years old, 1064 were 60-74 years old, and 708 were older than 75 years old. There were 1,712 men and 934 women. Univariate and multivariate Cox regression analyses were performed to identify prognostic factors for OS and CSS. Nomograms were constructed to predict the 1-, 3-, and 5-year OS and CSS. The models' calibration and discrimination efficiency were validated. Discrimination and accuracy were evaluated using the consistency index, area under the receiver operating characteristic curve, and calibration plots; and clinical usefulness was assessed using decision curve analysis. Cross-validation was also conducted to evaluate the accuracy and stability of the models. Prognostic factors identified by Cox regression were analyzed using Kaplan-Meier survival analysis. A total of 2,646 patients were included in our OS study. Age, primary site, differentiation grade, AJCC 6th_TNM stage, chemotherapy, radiotherapy, and number of regional nodes examined were identified as prognostic factors for OS in advanced GAC patients with surgery (P < 0.05). A total of 2,369 patients were included in our CSS study. Age, primary site, differentiation grade, AJCC 6th_TNM stage, chemotherapy, radiotherapy, and number of regional nodes examined were identified as risk factors for CSS in these patients (P < 0.05). These factors were used to construct the nomogram to predict the 1-, 3-, and 5-year OS and CSS of advanced GAC patients with surgery. The consistency index and area under the receiver operating characteristic curve demonstrated that the models effectively differentiated between events and nonevents. The calibration plots for 1-, 3-, and 5-year OS and CSS probability showed good consistence between the predicted and the actual events. The decision curve analysis indicated that the nomogram had higher clinical predictive value and more significant net gain than AJCC 6th_TNM stage in predicting OS and CSS of advanced GAC patients with surgery. Cross-validation also revealed good accuracy and stability of the models. The developed predictive models provided available prognostic estimates for advanced GAC patients with surgery. Our findings suggested that both OS and CSS can benefit from chemotherapy or radiotherapy in these patients.