American Joint Committee On Cancer 8th Research Articles

Utilizing the AJCC 8th Staging to Discriminate Survival Outcomes in HPV-associated Oropharyngeal Squamous Cell Carcinoma.

The American Joint Committee on Cancer (AJCC) staging 8th edition introduced major changes in the TNM staging of oropharyngeal squamous cell carcinoma (OPSCC) based on the human papillomavirus (HPV) status. This study aimed to observe how well the AJCC staging 8th edition precisely discriminates survival outcomes in patients with HPV-associated OPSCC using a large population database. Using the Surveillance, Epidemiology, and End Results database between 2010 and 2016, 7,448 patients with HPV-associated OPSCC were enrolled. Patients diagnosed with OPSCC and tested positive for HPV with information on the TNM staging according to the AJCC staging 7th edition were selected. Next, T-, N-, and clinical staging were reconstructed based on the AJCC staging 8th edition. Survival probabilities in both AJCC staging 7th and 8th editions were estimated and compared. Most patients (93.44%) were down-staged from the 7th to the 8th edition. The AJCC staging 8th edition showed more discriminatory power in predicting survival of patients with HPV-associated OPSCC than the AJCC staging 7th edition, regardless of the primary subsites. Additionally, clinical stage I patients with HPV-associated OPSCC according to the AJCC 8th edition showed better prognosis in case of high T staging than high N staging. Clinical staging according to the AJCC 8th edition compared to that of the 7th edition was an independent prognostic factor in patients with HPV-associated OPSCC. This study emphasizes the advantages of the new classification system for discriminating survival in HPV-associated OPSCC according to various factors.

Evaluation of AJCC staging system and proposal of a novel stage grouping system in retroperitoneal liposarcoma: the Fudan Zhongshan experience.

Overall survival (OS) varies significantly among individuals with heterogeneous retroperitoneal liposarcoma (RPLS), even among those with the same clinical stage. Improved staging of RPLS is a critical unmet need, given the disappointing results of external validations of the 8th American Joint Committee on Cancer (AJCC) TNM staging system. The cohort study included 220 consecutive patients who underwent surgical resection for primary RPLS at the largest sarcoma centre of Fudan University in China from September 2009 to August 2021, combined with 277 adult patients with RPLS in the SEER database from 1975 to 2020. Data analysis was performed from December 2021 to December 2022. Patients were retrospectively restaged according to the 8th and 7th editions of the TNM staging system as well as the new TNM (nTNM) staging system. The primary endpoint was overall survival (OS). Comparative analysis of postoperative survival was performed using the Kaplan-Meier method, and differences between subgroups were tested using the log-rank test. The OS prediction nomogram was generated based on baseline variables and tumour characteristics. Harrell's consistency index (C-index), area under the curve (AUC) of receiver operating characteristic curves (ROC), and calibration curves were used to evaluate the performance of the nomogram. A total of 497 patients were enrolled in the study, including 282 (56.7%) male patients. The median follow-up was 51 months (interquartile range, IQR, 23-83), and the OS rates at 1, 3, and 5 years were 87.9%, 75.3%, and 64.9%, respectively. According to the staging distribution of the AJCC 7th edition, 6 patients were stage IA (1.2%), 189 patients were stage IB (38%), 12 patients were stage IIA (2.4%), 150 patients were stage IIB (30.1%), 131 patients were stage III (26.3%), and 9 patients were stage IV (1.8%). With the 8th edition staging, this distribution changed: 6 patients (1.2%) were stage IA, 189 patients (38%) were stage IB, 12 patients (2.4%) were stage II, 24 patients (4.8%) were stage IIIA, 257 patients (51.7%) were stage IIIB, and 9 patients (1.8%) were stage IV. 182 patients (36.6%) were reclassified according to the nTNM staging system with the new T stage classification. The C-index and log-rank score improved after implementation of nTNM implementation. The nTNM system was associated with improved identification of high-risk patients compared with the AJCC 7th and 8th TNM. The FNCLCC stage proved to be highly prognostic with significant intergroup differences in OS. The calibration curve shows a high degree of agreement between the actual OS rate and the nomogram estimated OS rate. Compared with 8th AJCC TNM, 7th AJCC TNM staging system showed a more homogeneous staging distribution and a slight improvement in the prognostic accuracy of RPLS. The revised T-stage and nTNM systems showed better risk stratification performance. The FNCLCC stage was found to have high prognostic value, further emphasising histological grade is the least negligible prognostic factor in predicting patient survival. The constructed nomogram model enables individualized prognostic analysis and helps to develop risk-adapted therapy for RPLS patients.

Development and validation of a nomogram for Siewert II esophagogastric junction adenocarcinoma: a retrospective analysis.

Due to the complex histological type and anatomical structures, there has been considerable debate on the classification of adenocarcinoma of the esophagogastric junction (AEG), especially Siewert II AEG. Furthermore, neither the American Joint Committee on Cancer (AJCC) 7th tumor-node-metastasis (TNM) [esophageal adenocarcinoma (E) or gastric cancer (G)] nor the AJCC 8th TNM (E or G) accurately predicted the prognosis of patients with Siewert II AEG. This study aimed to investigate the factors influencing the survival and prognosis of patients with Siewert II AEG and establish a new and better prognostic predictive model. A retrospective study. Patients with Siewert II AEG, retrieved from the Surveillance, Epidemiology, and End Results (SEER) databases, were assigned to the training set. Patients retrieved from a single tertiary medical center were assigned to the external validation set. Significant variables were selected using univariate and multivariate Cox regression analyses to construct the nomogram. Nomogram models were assessed using the concordance index (C-index), a calibration plot, decision curve analysis (DCA), and external validation. Age, tumor grade, and size, as well as the T, N, and M stages, were included in the nomograms. For the SEER training set, the C-index of the nomogram was 0.683 (0.665-0.701). The C-index of the nomogram for the external validation set was 0.690 (0.653-0.727). The calibration curve showed good agreement between the nomogram estimations and actual observations in both the training and external validation sets. The DCA showed that the nomogram was clinically useful. The new predictive model showed significant accuracy in predicting the prognosis of Siewert II AEG.

Real-world relapse-free survival data on adjuvant anti-PD-1 therapy for patients with newly diagnosed and recurrent stage III melanoma.

We aimed to compare the relapse-free survival (RFS) in patients treated with adjuvant anti-programmed cell death-1 (anti-PD-1) therapy for a first diagnosis of stage III melanoma to patients treated after resection of the recurrences. Patients treated with adjuvant anti-PD-1 therapy after complete resection of stage III melanoma between September 2018 and January 2021, were included. Depending on when adjuvant anti-PD-1 treatment was initiated, patients were divided over 2 cohorts: for the first diagnosis (cohort A) or for a second or subsequent diagnosis (cohort B) of stage III melanoma. Clinical data and RFS were compared between cohorts. 66 patients were included: 37 in cohort A, 29 in cohort B. Median follow-up time from the start of adjuvant therapy was 21 months and 17 months in cohorts A and B, respectively. Significant differences in ulceration of the primary tumor ( P  = 0.032), stage according to the 7th AJCC (American Joint Committee on Cancer , P  = 0.026) and type of metastatic involvement ( P  = 0.005) were found between cohorts. In cohorts A and B, 18 (49%) and 8 (28%) patients developed a recurrence and the 1-year RFS was 51% and 72%, respectively. In cohort B, RFS remained longer in the patients of which the interval between first diagnosis of stage III melanoma and start of adjuvant therapy was >48 months compared to ≤48 months (83% vs. 65%, P  = 0.253). This study demonstrates that patients with recurrent stage III disease, not previously treated with adjuvant systemic therapy, may derive similar benefit to a first diagnosis of stage III patients if access to adjuvant therapy changes.

Subserosal Layer and/or Pancreatic Invasion Based on Anatomical Features as a Novel Prognostic Indicator in Patients with Distal Cholangiocarcinoma.

The American Joint Committee on Cancer (AJCC) 8th edition T-staging system for distal cholangiocarcinoma (DCC) proposes classification according to the depth of invasion (DOI); nevertheless, DOI measurement is complex and irreproducible. This study focused on the fibromuscular layer and evaluated whether the presence or absence of penetrating fibromuscular invasion of DCC contributes to recurrence and prognosis. In total, 55 patients pathologically diagnosed with DCC who underwent surgical resection from 2002 to 2022 were clinicopathologically examined. Subserosal layer and/or pancreatic (SS/Panc) invasion, defined as penetration of the fibromuscular layer and invasion of the subserosal layer or pancreas by the cancer, was assessed with other clinicopathological prognostic factors to investigate recurrence and prognostic factors. According to the AJCC 8th edition, there were 11 T1, 28 T2, and 16 T3 cases, with 44 (80%) cases of SS/Panc invasion. The DOI was not significantly different for both recurrence and prognostic factors. In the multivariate analysis, only SS/Panc was identified as an independent factor for prognosis (hazard ratio: 16.1; 95% confidence interval: 2.1-118.8, p = 0.006). In conclusion, while the determination of DOI in DCC does not accurately reflect recurrence and prognosis, the presence of SS/Panc invasion may contribute to the T-staging system.

Development and validation of a prognostic nomogram for patients with laryngeal cancer with synchronous or metachronous lung cancer.

The objective of this study was to examine the independent prognostic factors of laryngeal cancer with synchronous or metachronous lung cancer (LCSMLC), and to generate and verify a clinical prediction model. In this study, laryngeal cancer alone and LCSMLC were defined using the Surveillance, Epidemiology, and End Results (SEER) database. Risk factors of patients with LCSMLC were analyzed through univariate and multivariate logistic regression analysis. Independent prognostic factors were selected by Cox regression analyses, on the basis of which a nomogram was constructed using R code. Kaplan-Meier survival analyses were applied to test the application of a risk stratification system. Finally, we conducted a comparison of the American Joint Committee on Cancer (AJCC) staging system of laryngeal cancer with the new model of nomogram and risk stratification. For further validation of the nomogram, data from patients at two Chinese independent institutions were also analyzed. According to the eligibility criteria, 32 429 patients with laryngeal cancer alone and 641 patients with LCSMLC from the SEER database (the training cohort) and additional 61 patients from two Chinese independent institutions (the external validation cohort) were included for final analyses. Compared with patients with laryngeal cancer who did not have synchronous or metachronous lung cancer, age, sex, race, primary site of laryngeal cancer, grade, and stage were risk factors for LCSMLC, while marriage, surgery, radiation therapy, and chemotherapy are not their risk factors. Age, two cancers' interval, pathological type, stage, surgery, radiation, primary lung site, and primary throat site were independent prognostic predictors of LCSMLC. The risk stratification system of high-, medium-, and low-risk groups significantly distinguished the prognosis in different patients with LCSMLC, regardless of the training cohort or the validation cohort. Compared with the 6th AJCC TNM stage of laryngeal cancer, the new model of nomogram and risk stratification showed an improved net benefit. Age, sex, race, primary site of laryngeal cancer, grade, and stage were risk factors for LCSMLC. An individualized clinical prognostic predictive model by nomogram was generated and validated, which showed superior prediction ability for LCSMLC.

Preoperative MRI features predicting very early recurrence of intrahepatic mass-forming cholangiocarcinoma after R0 resection: a comparison with the AJCC 8th edition staging system.

This study aimed to establish a nomogram based on preoperative magnetic resonance imaging (MRI) features to predict the very early recurrence (VER, less than 6months) of intrahepatic mass-forming cholangiocarcinoma (IMCC) after R0 resection. This study enrolled a group of 193 IMCC patients from our institution between March 2010 and January 2022. Patients were allocated into the development cohort (n=137) and the validation cohort (n=56), randomly, and the preoperative clinical and MRI features were collected. Univariate and multivariate stepwise logistic regression assessments were adopted to assess predictors of VER. Nomogram was constructed and certificated in the validation cohort. The performance of the prediction nomogram was evaluated by its discrimination, calibration, and clinical utility. The performance of the nomogram was compared with the T stage of the American Joint Committee on Cancer (AJCC) 8th edition staging system. Fifty-three patients (27.5%) experienced VER of the tumor and 140 patients (72.5%) with non-VER, during the follow-up period. After multivariate stepwise logistic regression, number of lesions, diffuse hypoenhancement on arterial phase, necorsis and suspicious lymph nodes were independently associated with VER. The nomogram demonstrated significantly higher area under the curve (AUC) of 0.813 than T stage (AUC=0.666, P=0.006) in the development cohort, whereas in the validation cohort, the nomogram showed better discrimination performance, with an AUC of 0.808 than T stage (0.705) with no significantly difference (P=0.230). Decision curve analysis reflected the clinical net benefit of the nomogram. The nomogram based on preoperative MRI features is a reliable tool to predict VER for patients with IMCC after R0 resection. This nomogram will be helpful to improve survival prediction and individualized treatment.

Clinical outcome of surgical resection for multifocal T2-T3 hepatocellular carcinoma up to 3 nodules: a comparative analysis with a single nodule.

Although the Barcelona Clinic Liver Cancer staging system seems to underestimate the impact of curative-intent surgical resection for multifocal hepatocellular carcinoma (HCC), recent studies have indicated favorable results for the surgical resection of multiple HCC. This study aimed to assess clinical outcomes and feasibility of surgical resection for multifocal HCC with up to three nodules compared with single tumor cases. Patients who underwent surgical resection for HCC with up to three nodules between 2009 and 2020 were included, and those with the American Joint Committee on Cancer (AJCC) 8th edition, T1 and T4 stages were excluded to reduce differences in disease distribution and severity. Finally, 81 and 52 patients were included in the single and multiple treatment groups, respectively. Short- and long-term outcomes including recurrence-free survival (RFS) and overall survival (OS), were evaluated. All patients were classified as Child-Pugh class A. RFS and OS were not significantly different between the two groups (P=0.176 and P=0.966, respectively). Multivariate analysis revealed that transfusion and intrahepatic metastasis were significantly associated with recurrence (P=0.046 and P=0.005, respectively). Additionally, intrahepatic metastasis was significantly associated with OS (hazard ratio, 1.989; 95% confidence interval, 1.040-3.802; P=0.038). Since there was no significant difference in survival between the single and multiple groups among patients with AJCC 8th stage T2 and T3, surgical resection with curative intent could be considered with acceptable long-term survival for selected patients with multiple HCC of up to three nodules.

Prediction of postoperative recurrence in resectable pancreatic body/tail adenocarcinoma: a novel risk stratification approach using a CT-based nomogram.

To identify prognostic CT features that predict recurrence in patients with resectable pancreatic body/tail adenocarcinoma (PBTA) and construct a CT-based nomogram for preoperative risk stratification. A total of 258 patients with resectable PBTA who underwent upfront surgery were retrospectively enrolled (development cohort, n = 172; validation cohort, n = 86), and their clinical and CT features were analyzed. Stepwise Cox proportional hazard analysis was performed to identify prognostic features and construct a predictive nomogram for recurrence-free survival (RFS). The prognostic performance of the CT-based nomogram was validated and compared to the 8th American Joint Committee on Cancer (AJCC) pathological staging system. In the development cohort, the following five CT features for predicting recurrence were identified to construct the nomogram: tumor density in the venous phase, tumor necrosis, adjacent organ invasion, splenic vein invasion, and superior mesenteric vein/portal vein abutment. In the validation cohort, the CT-based nomogram showed a concordance index of 0.65 (95% confidence interval: 0.58-0.73), which was higher than the 8th AJCC staging system. The area under the curves of the nomogram for predicting recurrence at 0.5, 1, and 2years were 0.66, 0.71, and 0.72, respectively. Patients were categorized into high- and low-risk groups with 1-year recurrence probabilities of 0.73 and 0.43, respectively. The proposed nomogram provided accurate recurrence risk stratification for patients with resectable PBTA in a preoperative setting and may be used to facilitate clinical decision-making. The proposed CT-based nomogram, based on easily available CT features, may serve as an effective and convenient tool for stratifying further the recurrence risk of patients with pancreatic body/tail adenocarcinoma. • The CT-based nomogram, incorporating five commonly used CT features, successfully preoperatively stratified patients with resectable PBTA into distinct prognosis groups. • Tumor density in the venous phase, tumor necrosis, splenic vein invasion, adjacent organ invasion, and superior mesenteric vein/portal vein abutment were associated with RFS in patients with resectable PBTA. • The CT-based nomogram exhibited better predictive performance for recurrence than the 8th AJCC staging system.

The prognostic value of 11th Japanese classification and 8th AJCC staging systems in Chinese patients with esophageal squamous cell carcinoma

BackgroundTwo staging systems, the 8th staging system by the American Joint Committee on Cancer (AJCC) and the 11th Japanese classification by Japan Esophageal Society (JES), are currently applied in the clinic for predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC). The differences between the two staging systems have been widely researched. However, little studies focus on the differences in specific staging between the two systems. Therefore, we aimed to compare the performance of different staging in predicting overall survival (OS) of Chinese patients with ESCC.MethodsThis retrospective study included 268 patients who underwent radical esophagectomy and mediastinal lymph node dissection for ESCC between January 2008 and December 2013. Patients were staged by the 8th AJCC and 11th JES staging systems. OS was estimated using the Kaplan–Meier method and compared between N stages and between stage groupings using the log-rank test. Cox proportional hazards regression analysis was performed to identify factors independently related to outcome. Further, we compared the concordance indexes (C-indexes) of the two staging systems.ResultsThe mean age was 61.25 ± 7.056 years, median follow-up was 44.82 months, and 5-year OS rate was 47%. The OS was well predicted by the 8th AJCC N staging (P < 0.001) and the 11th JES N staging (P < 0.001), with a c-index of 0.638 (95% CI: 0.592–0.683) for AJCC N staging and 0.627 (95% CI: 0.583–0.670) for JES N staging (P = 0.13). In addition, the OS was also well predicted by stage groupings of the 8th AJCC (P < 0.001) and the 11th JES systems (P < 0.001), with a c-index of 0.658 (95% CI: 0.616–0.699) for 8th AJCC stage grouping and 0.629 (95% CI: 0.589–0.668) for the11th JES stage grouping (P = 0.211).ConclusionsThe prognostic effect of 11th JES staging system is comparable with that of AJCC 8th staging system for patients with ESCC. Therefore, both systems are applicable to clinical practice.

Proposal for a new N-stage classification system for intrahepatic cholangiocarcinoma.

The number of metastatic lymph nodes (MLNs) is not considered in the nodal status (N classification) of intrahepatic cholangiocarcinoma (ICC) in the current 8thEdition of the American Joint Committee on Cancer (AJCC) staging system. The aim of this study was to find out the optimal cut-off point based on the number of MLNs and establish a modified AJCC staging system for ICC according to the new N category. A total of 675 ICC patients diagnosed between 2004 and 2015 were retrieved from the Surveillance, Epidemiology and End Results (SEER) database. The optimal cut-off value of MLNs affecting survival was determined by X-tile software. The relative discriminative power was assessed by Harrell's concordance index (C-index) and Akaike information criterion (AIC). The proposed new nodal category subdivided patients into three groups (N0, no MLN; N1, 1-3 MLNs; and N2, ≥ 4 MLNs) with significantly different overall survival (P < 0.001). Multivariable analysis revealed that the new nodal category was an independent prognostic factor (P < 0.001). Both the C-index and AIC for our modified staging system were better than those for the 8th AJCC edition (0.574 [95% confidence interval 0.533-0.615] versus 0.570 [95% confidence interval 0.527-0.613], and 853.30 versus 854.21, respectively). The modified AJCC staging system based on the number of MLNs may prove to be a useful alternative for predicting survival of ICC patients in clinical practice.

Long-Term Survival of American Joint Committee on Cancer 8th Edition Staging Descriptors for Clinical M1a Non-Small Cell Lung Cancer

The American Joint Committee on Cancer (AJCC) 8th Edition TNM staging manual for non-small cell lung cancer (NSCLC) M1a descriptors includes tumors seen with malignant pleural or pericardial effusion (ie, M1a-Effusion), pleural or pericardial nodule(s) (ie, M1a-Pleural), or separate tumor nodule(s) in a contralateral lobe (ie, M1a-Contralateral). Is M1a NSCLC seen with malignant pleural or pericardial effusion associated with worse survival compared with other types of M1a NSCLC? Patients with cT1-4, N0-3, M1a NSCLC (satisfying a single M1a descriptor of M1a-Effusion, M1a-Pleural, or M1a-Contralateral), according to AJCC 8th edition staging criteria, in the National Cancer Database from 2010 to 2015 were included. Overall survival was evaluated by using Kaplan-Meier analysis, multivariable-adjusted Cox proportional hazards modeling, and propensity score matching. Of the 25,716 patients who met study eligibility criteria, 12,756 (49.6%) presented with M1a-Effusion tumors, 3,589 (14.0%) with M1a-Pleural tumors, and 9,371 (36.4%) with M1a-Contralateral tumors. In multivariable-adjusted analysis, M1a-Effusion tumors were associated with worse overall survival than M1a-Pleural tumors (hazard ratio [HR], 1.48; 95%CI, 1.40-1.56; P< .001) and M1a-Contralateral tumors (HR: 1.51; 95%CI, 1.46-1.57; P< .001). No significant differences were found in overall survival between patients with M1a-Pleural tumors vsM1a-Contralateral tumors (HR, 0.98; 95%CI, 0.93-1.03; P= .42). In a propensity score-matched analysis of 5,581 patients with M1a-Effusion tumors and 5,581 patients with other M1a tumors (ie, M1a-Contralateral or M1a-Effusion), those with M1a-Effusion tumors had worse 5-year overall survival than patients with other M1a tumors (M1a-Effusion 6.4%[95%CI, 5.7-7.1] vsM1a-Other 10.6%[95%CI, 9.7-11.5]; P< .001). In this national analysis of AJCC 8th Edition cT1-4, N0-3, M1a NSCLC, tumors with malignant pleural or pericardial effusion were associated with worse overall survival than those with either pleural or contralateral pulmonary nodules. These findings may be taken into consideration for the upcoming 9th edition of the lung cancer staging guidelines.

Retrospective analysis of 8th edition American Joint Cancer Classification: Distal cholangiocarcinoma.

This is a retrospective analysis of whether the 8th edition American Joint Committee on Cancer (AJCC) was a significant improvement over the 7th AJCC distal extrahepatic cholangiocarcinoma classification. In total, 111 patients who underwent curative resection of mid-distal bile duct cancer from 2002 to 2019 were included. Cases were re-classified into 7th and 8th AJCC as well as clinicopathological univariate and multivariate, and Kaplan-Meier survival curve and log rank were calculated using R software. In patient characteristics, pancreaticoduodenectomy/pylorus preserving pancreaticoduodenectomy had better survival than segmental resection. Only lymphovascular invasion was found to be significant (hazard ratio 2.01, p = 0.039) among all clinicopathological variables. The 8th edition AJCC Kaplan Meier survival curve showed an inability to properly segregate stage I and IIA, while there was a large difference in survival probability between IIA and IIB. The 8th distal AJCC classification did resolve the anatomical issue with the T stage, as T1 and T3 showed improvement over the 7th AJCC, and the N stage division of the N1 and N2 category was found to be justified, with poorer survival in N2 than N1. Meanwhile, in TMN staging, the 8th AJCC was able differentiate between early stage (I and IIA) and late stage (IIB and III) to better explain the patient prognosis.

MP64-18 RECLASSIFICATION OF PATHOLOGICALLY UPSTAGED T3A RENAL CELL CARCINOMA IS LINKED WITH ENHANCED ALIGNMENT OF OUTCOMES: ANALYSIS OF THE NATIONAL CANCER DATABASE

You have accessJournal of UrologyCME1 Apr 2023MP64-18 RECLASSIFICATION OF PATHOLOGICALLY UPSTAGED T3A RENAL CELL CARCINOMA IS LINKED WITH ENHANCED ALIGNMENT OF OUTCOMES: ANALYSIS OF THE NATIONAL CANCER DATABASE Dhruv Puri, Luke Wang, Margaret Meagher, Aastha Shah, Franklin Liu, Saeed Ghassemzadeh, Mimi Nguyen, Kevin Hakimi, Cesare Saitta, Jonathan Afari, Sohail Dehanji, Ryan Nasseri, Juan Javier-Desloges, and Ithaar Derweesh Dhruv PuriDhruv Puri More articles by this author , Luke WangLuke Wang More articles by this author , Margaret MeagherMargaret Meagher More articles by this author , Aastha ShahAastha Shah More articles by this author , Franklin LiuFranklin Liu More articles by this author , Saeed GhassemzadehSaeed Ghassemzadeh More articles by this author , Mimi NguyenMimi Nguyen More articles by this author , Kevin HakimiKevin Hakimi More articles by this author , Cesare SaittaCesare Saitta More articles by this author , Jonathan AfariJonathan Afari More articles by this author , Sohail DehanjiSohail Dehanji More articles by this author , Ryan NasseriRyan Nasseri More articles by this author , Juan Javier-DeslogesJuan Javier-Desloges More articles by this author , and Ithaar DerweeshIthaar Derweesh More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003322.18AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Pathological upstaging to pT3a disease can occur after surgical treatment of clinical T1 and T2 Renal Cell Carcinoma (RCC), and upstaging to T3 RCC is associated with poorer outcomes. Nonetheless pT3a RCC is a heterogeneous group with a wide variance in outcomes. With an intent to delve deeper into the disparateness in outcomes of pT3a disease, we investigated the outcomes of patients with an initial clinical stage of cT1, cT2 and cT3a. METHODS: Using the National Cancer Database, patients with RCC were categorized by pathological and clinical staging of RCC according to American Joint Committee on Cancer (AJCC) criteria. The primary outcome was measured as overall survival (OS). Kaplan-Meier Analysis (KMA) assessed differences between cT1 upstaged to pT3a RCC (cTa→pT3a), cT2 upstaged to pT3a RCC (cT2→pT3a), clinical/pathological T2 RCC (cT2→pT2), and clinical/pathological T3a RCC (T3a → pT3a). Multivariable cox regression (MVA) assessed predictors for OS evaluating clinical and pathological disease status. ROC/AUC analysis was utilized to compare predictive value of AJCC 8th edition TNM staging vs proposed staging. RESULTS: 53741 patients with pT3a disease were analyzed (10785 cT1→pT3a; 9675 cT2→pT3a, 22025 cT2→pT2; and 11256 cT3a→pT3a). MVA for OS [cT1→pT3a (referent)] demonstrated that cT2→pT3a (HR=1.33, p<0.001) and cT3a→pT3a (HR=1.35, p<0.001) were associated with worsened OS, while cT2→pT2 (HR=0.96, p=0.05) was not significantly different from referent. KMA revealed a difference in 5-year OS (cT1→pT3a 73.1%; cT2→pT2 78.0%; cT2→pT3a 60.8%; and cT3a→pT3a 59.9%, p<0.001). As such we proposed to align cT1→pT3a and cT2→pT2 into a new pT2 group while maintaining cT2→pT3a and cT3a→pT3a in a new pT3a (5 year OS new pT2 vs. new pT3a: 78.0% vs. 60.3%, p=0.003). ROC analysis revealed an AUC of 0.500 (p=0.005) for OS using the current AJCC 8th edition TNM staging and an AUC of 0.563 (p=0.003) for OS for our new proposal. CONCLUSIONS: Reclassification of cT1→pT3a and cT2→ pT2 into a new pT2 RCC while maintaining cT2→ pT3a and cT3a→pT3a RCC as a new pT3a RCC resulted in improved performance of realigned model for OS. Revision of TNM criteria for T2 and T3a RCC may lead to improved predictive ability and less heterogeneity in outcomes. Source of Funding: Insitutional © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e888 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Dhruv Puri More articles by this author Luke Wang More articles by this author Margaret Meagher More articles by this author Aastha Shah More articles by this author Franklin Liu More articles by this author Saeed Ghassemzadeh More articles by this author Mimi Nguyen More articles by this author Kevin Hakimi More articles by this author Cesare Saitta More articles by this author Jonathan Afari More articles by this author Sohail Dehanji More articles by this author Ryan Nasseri More articles by this author Juan Javier-Desloges More articles by this author Ithaar Derweesh More articles by this author Expand All Advertisement PDF downloadLoading ...

The Prognostic Significance of Nomogram-Based Pretreatment Inflammatory Indicators in Patients With Esophageal Squamous Cell Carcinoma Receiving Intensity-Modulated Radiotherapy.

At present, there is no objective prognostic index available for patients with esophageal squamous cell carcinoma (ESCC) who underwent intensity-modulated radiotherapy (IMRT). This study is to develop a nomogram based on hematologic inflammatory indices for ESCC patients treated with IMRT. 581 patients with ESCC receiving definitive IMRT were enrolled in our retrospective study. Of which, 434 patients with treatment-naïve ESCC in Fujian Cancer Hospital were defined as the training cohort. Additional 147 newly diagnosed ESCC patients were used as the validation cohort. Independent predictors of overall survival (OS) were employed to establish a nomogram model. The predictive ability was evaluated by time-dependent receiver operating characteristic curves, the concordance index (C-index), net reclassification index (NRI), and integrated discrimination improvement (IDI). Decision curve analysis (DCA) was performed to assess the clinical benefits of the nomogram model. The entire series was divided into 3 risk subgroups stratified by the total nomogram scores. Clinical TNM staging, primary gross tumor volume, chemotherapy, neutrophil-to-lymphocyte ratio and platelet lymphocyte ratio were independent predictors of OS. Nomogram was developed incorporating these factors. Compared with the 8th American Joint Committee on Cancer (AJCC) staging, the C-index for 5-year OS (.627 and .629) and the AUC value of 5-year OS (.706 and .719) in the training and validation cohorts (respectively) were superior. Furthermore, the nomogram model presented higher NRI and IDI. DCA also demonstrated that the nomogram model provided greater clinical benefit. Finally, patients with <84.8, 84.8-151.4, and >151.4 points were categorized into low-risk, intermediate-risk, and high-risk groups. Their 5-year OS rates were 44.0%, 23.6%, and 8.9%, respectively. The C-index was .625, which was higher than the 8th AJCC staging. We have developed a nomogram model that enables risk-stratification of patients with ESCC receiving definitive IMRT. Our findings may serve as a reference for personalized treatment.

Comparing the predictive performance of different lymph node staging systems for postoperative overall survival in patients with ampullary carcinoma.

This study was to analyze and compare the predictive performance of the 7th and the 8th edition American Joint Committee on Cancer (AJCC) N staging system, lymph nodes ratio (LNR) and log odds of positive lymph node (LODDS) for the survival of patients with ampullary carcinomas (ACs). This retrospective cohort study included patients with primary ACs after surgery from the Surveillance, Epidemiology, and End Results (SEER) 2004-2015. Univariate and multivariate Cox proportional hazard models were used. The study population was divided into a training set and a testing set in a ratio of 7-3. The C-index and area under the curve (AUC) were used to compare the predictive performance of the four staging on overall survival (OS) in the training set and the testing set. A total of 7,480 patients with primary ACs (1,178 survived and 1,128 dead) were in this study. The average follow-up time was 41.1 months. N1 stage and N2 stage of the 8th edition AJCC N staging system, LNR staging (0-0.3), LNR (>0.3), LODDS (-2.4 to -0.8) and LODDS (>-0.8) were associated with OS in AC patients after adjusting for age, race, pT stage, tumor size, grade, radiation, and insurance. The C-index of the 7th AJCC N staging was significantly lower than the C-index of the 8th AJCC N staging in the training set [0.608 vs. 0.629, P < 0.001] and testing set [0.635 vs. 0.658, P < 0.001]. The C-index of the LODDS staging was significantly higher than the C-index of the 8th AJCC N staging in the training set [0.641 vs. 0.629, P = 0.034] and testing set [0.671 vs. 0.658, P = 0.034]. LODDS staging may be a potential predictor of OS at 6 months [AUC = 0.687], 12 months (AUC = 0.692), and 48 months (AUC = 0.709), and LNR staging (AUC = 0.655) may be a potential predictor of OS at 24 months in AC patients. The predictive ability of LNR staging and LODDS staging were also found in different subgroups. The LNR and LODDS staging systems' predictive performance for OS of AC patients were superior to the 8th edition AJCC N staging system, especially in patients ages ≥65 or with higher tumor grade (grade II and III). The LNR staging and the LODDS staging were potential predictors for 24-month OS, and 6, 12, 24 and 48-month OS, respectively.

A novel preoperative inflammation score system established for postoperative prognosis predicting of intrahepatic cholangiocarcinoma

BackgroundInflammation is implicated in tumorigenesis and has been reported as an important prognostic factor in cancers. In this study, we aimed to develop and validate a novel inflammation score (IFS) system based on 12 inflammatory markers and explore its impact on intrahepatic cholangiocarcinoma (ICC) survival after hepatectomy.MethodsClinical data of 446 ICC patients undergoing surgical treatment were collected from the Primary Liver Cancer Big Data, and then served as a training cohort to establish the IFS. Furthermore, an internal validation cohort including 175 patients was used as internal validation cohort of the IFS. A survival tree analysis was used to divide ICC patients into three groups (low-, median-, and high- IFS-score groups) according to different IFS values. Kaplan-Meier (KM) curves were used to compare the overall survival (OS) and recurrence-free survival (RFS) rates among three different groups. Cox regression analyses were applied to explore the independent risk factors influencing OS and RFS.ResultsIn the training cohort, 149 patients were in the low-IFS-score group, 187 in the median-IFS-score group, and 110 in the high-IFS-score group. KM curves showed that the high-IFS-score group had worse OS and RFS rates than those of the low- and median-IFS-score groups (P < 0.001) in both the training and validation cohorts. Moreover, multivariable Cox analyses identified high IFS as an independent risk factor for OS and RFS in the training cohort. The area under the curve values for OS prediction of IFS were 0.703 and 0.664 in the training and validation cohorts, respectively, which were higher than those of the American Joint Committee on Cancer (AJCC) 7th edition TNM stage, AJCC 8th edition TNM stage, and the Child-Pugh score.ConclusionOur results revealed the IFS was an independent risk factor for OS and RFS in patients with ICC after hepatectomy and could serve as an effective prognostic prediction system in daily clinical practice.

New staging systems for left-sided colon cancer based on the number of retrieved and metastatic lymph nodes provide a more accurate prognosis.

Objectives: We aimed to explore reasonable lymph node classification strategies for left-sided colon cancer (LCC) patients. Methods: 48,425 LCC patients from 2010 to 2015 were identified in the US Surveillance, Epidemiology, and End Results database. We proposed an innovative revised nodal (rN) staging of the 8th American Joint Committee on Cancer (AJCC) Tumor/Node/Metastasis (TNM) classification based on the cut-off value of retrieved lymph nodes and survival analyses in patients with LCC. Log odds of positive lymph nodes (LODDS) stage is a numerical classification strategy obtained by a formula that incorporates the numbers of retrieved and positive lymph nodes. To develop the TrN or TLODDS classification, patients with similar survival rates were grouped by combining T and rN or LODDS stage. The TrN or TLODDS classification was further evaluated in a validation set of 12,436 LCC patients from 2016 to 2017 in the same database and a Chinese application set of 958 LCC patients. Results: We developed novel TrN and TLODDS classifications for LCC patients that incorporated 7 stages with reference to the AJCC staging system. In comparison to the 8th AJCC TNM and TrN classifications, TLODDS classification demonstrated significantly better discrimination (area under the receiver operating characteristic curve, 0.650 vs. 0.656 vs. 0.661, p < 0.001), better model-fitting (Akaike information criteria, 309,287 vs. 308,767 vs. 308,467), and superior net benefits. The predictive performance of the TrN and TLODDS classifications was further verified in the validation and application sets. Conclusion: Both the TrN and TLODDS classifications have better discriminatory ability, model-fitting, and net benefits than the existing TNM classification, and represent an alternative to the current TNM classification for LCC patients.

A multicenter prospective validation study of the 3-cm cut-off in stage I seminoma (S3MI-PT).

TPS435 Background: Testicular germ cell tumors (TGCT) are the most common solid malignancy in men aged 15 to 35, and Seminoma histology can account for up to half of the cases. Since the latest edition of the American Joint Committee on Cancer (AJCC) staging manual (8th edition, 2018), it is recommended that, only in pure Seminoma, the pT1 category should be subdivided according to tumor size: pT1a for tumors &lt; 3 cm or T1b for tumors ≥ 3 cm. This change was based on large retrospective data that suggested almost a doubling of the risk of relapse at 3-years in pT1b versus pT1a, with a Hazard Ratio of 1.87, 95% confidence interval (CI) 1.15-3.06. So far, there has been no prospective validation for these staging changes and there are no known implications of its use in clinical practice. Furthermore, these changes are exclusive for AJCC since the Union for International Cancer Control (UICC), another widely used staging system, did not change from previous editions (i.e., no pT1 subdivision in pure Seminoma). Tumor size was already recognized as a risk factor for relapse (if tumor size &gt; 4 cm) but not formally used for staging before. Of concern, these are mostly young patients, and despite exceptionally good long-term survival rates, in stage I Seminoma, the general estimation of relapse is about 15% but can surpass 30% — therefore accurate prognostic information is particularly important. This study aims to validate the 3 cm cut-off in stage I Seminoma introduced by AJCC 8th edition. Additionally, the study will allow for the evaluation for current trends of adjuvant options (namely surveillance vs active treatment). Methods: S3MI-PT, or Seminoma 3 cm cut-off Prospective Trial, is a multicenter prospective observational validation study that aims to include at least 300 patients (the estimate includes a 10% loss to follow-up rate as TGCT studies are historically difficult to accrue). Eligibility criteria: male patients ≥ 18 years old diagnosed with clinical stage I pure Seminoma histology (pT1N0M0S0), whose orchiectomy must have occurred after January 2018, the AJCC 8th ed. implementation date, who are willing to sign the informed consent. Demographic and clinical data will be collected, that includes, age at diagnosis, tumor size, rete testis invasion, values for TGCT markers, adjuvant treatment options (surveillance or active treatment) and relapse, if applicable. Exclusion criteria: non-pure Seminoma TGCT staged pT2-T4, pN1-N3, M1, S1-3. Primary endpoint is relapse-free survival at 3 years in pT1a versus pT1b, with two-sided P &lt; 0.05 used to determine statistical significance with a 95% CI, by Kaplan-Meier method. S3MI-PT has been approved by the Ethics Committee. The study is actively enrolling, and all individuals and institutions interested in collaborating can do so by request.

Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance. The cohort study was intended to establish a reliable data analysis model by comparing the performance of 10 common ML algorithms and the the traditional American Joint Committee on Cancer (AJCC) stage, and used this model in Web application development to provide a good individualized prediction for others. This study included 63145 BC patients from the Surveillance, Epidemiology, and End Results database. Through the performance of the 10 ML algorithms and 7th AJCC stage in the optimal test set, we found that in terms of 5-year overall survival, multivariate adaptive regression splines (MARS) had the highest area under the curve (AUC) value (0.831) and F1-score (0.608), and both sensitivity (0.737) and specificity (0.772) were relatively high. Besides, MARS showed a highest AUC value (0.831, 95%confidence interval: 0.820-0.842) in comparison to the other ML algorithms and 7th AJCC stage (all P < 0.05). MARS, the best performing model, was selected for web application development (https://w12251393.shinyapps.io/app2/). The comparative study of multiple forecasting models utilizing a large data noted that MARS based model achieved a much better performance compared to other ML algorithms and 7th AJCC stage in individualized estimation of survival of BC patients, which was very likely to be the next step towards precision medicine.