SEER Cohort Research Articles

Development and validation of a nomogram to predict the survival and estimate surgical benefits for gastric cancer with liver metastasis receiving primary tumor resection

BackgroundSurgical treatment has been widely controversial for gastric cancer accompanied by liver metastasis (GCLM). This paper aims to develop and validate a nomogram to predict the survival and estimate surgical benefits for GCLM patients.MethodsA total of 616 GCLM patients from the Surveillance, Epidemiology, and End Results Program (SEER) database and 74 GCLM patients receiving primary tumor resection (PTR) from the Chinese center were included in this study. Patients from the SEER database were divided into training set (with PTR) (n=493) and non-operative set (without PTR) (n=123). Patients undergoing PTR from China were included as external validation set. Independent risk factors associated with the overall survival of GCLM patients undergoing PTR were identified in the training set via log-rank test and Cox regression analysis. Afterwards, a comprehensive model and corresponding nomogram were constructed and validated by validation set.ResultsThe survival of patients undergoing PTR (n=493) was longer than that without PTR (n=123) (log-rank test, p<0.0001) in SEER cohort. T stage (HR=1.40, 95% CI=1.14, 1.73), differentiation grade (HR=1.47, 95% CI=1.17, 1.85), non-hepatic metastases (HR=1.69, 95% CI=1.29, 2.21), and adjuvant therapy (HR=0.34, 95% CI= 0.28, 0.42) were closely related with the survival of GCLM with PTR, and thus, a four-factor nomogram was established. However, GCLM patients receiving PTR in the high-risk subgroup (n=255) screened out by the nomogram did not have better survival outcomes compared with patients without PTR (n=123) (log-rank test, p=0.25).ConclusionsThe nomogram could predict survival of GCLM patients receiving PTR with acceptable accuracy. In addition, although PTR did improve the survival of whole GCLM patients, patients in the high-risk subgroup were unable to benefit from PTR, which could assist clinicians to make decisions for the treatment of GCLM.

Association of race with incidence, characteristics, and mortality from incidental prostate cancer: Analysis of two North American contemporary cohorts.

Non-Hispanic Black (NHB) men are at higher risk both for incidence and mortality from prostate cancer (PCa) compared to Non-Hispanic White (NHW) men, but these findings arise from biopsy-detected PCa reports. We aimed to compare the incidence, subsequent management and cancer-specific mortality (CSM) of incidental PCa among NHB and NHW men, using two different North American cohorts. The Surveillance, Epidemiology and End-Result (SEER: 2004-2017) and our institutional Henry Ford Health (HFH: 1995-2022) databases were queried to identify men diagnosed with incidental PCa. Cumulative incidence estimates were used to calculate CSM differences between NHB and NHW men. Competing-risk multivariable regression analysis tested the impact of race on CSM, after accounting for all available covariates. A total of 418 and 6,124 incidental PCa cases were recorded in HFH and SEER database respectively. No pathological differences were observed between NHB and NHW men in both the cohorts, except for prostate-specific antigen (PSA) value at diagnosis, which was higher in NHB men. At 10-years, the CSM rates were 5.5% vs 7.2% in our cohort and 8.6% vs 10.3% in the SEER cohort for NHW and NHB men, respectively (all Gray's test p-value > 0.05). At multivariable, race was not an independent predictor of CSM in our HFH cohort (HR: 1.46, 95% CI: 0.57-3.71, p = 0.6). In the SEER cohort, NHB men were 34% less likely to die from PCa from 1 year to the next (95% CI: 0.49-0.90, p = 0.008), when compared with NHW men. In the comparison of incidental PCa findings between NHB and NHW men, both groups had similar pathological characteristic and survival outcomes. These findings are different from the 'conventional' screening-detected PCa and suggest that racial differences have minimal to no adverse effects on PCa-specific mortality after incidental diagnosis.

The prognostic impact of tumor location in nonmuscle-invasive bladder cancer patients undergoing transurethral resection: insights from a cohort study utilizing Chinese multicenter and SEER registries.

Most bladder cancers are nonmuscle invasive bladder cancer (NMIBC), and transurethral resection of bladder tumors (TURBT) is the standard treatment. However, postoperative recurrence remains a significant challenge, and the influence of bladder tumor location on prognosis is still unclear. This study aims to investigate how tumor location affects the prognosis of NMIBC patients undergoing TURBT and to identify the optimal surgical approach. A multicenter study was conducted, which included Chinese NMIBC data from 15 hospitals (1996-2019) and data from 17 registries of the Surveillance, Epidemiology, and End Results database (SEER) (2000-2020). Patients initially diagnosed with NMIBC and undergoing TURBT or partial cystectomy were analyzed, with cases lost to follow-up or with missing data excluded. The study investigated the overall survival (OS), disease-specific survival (DSS), and recurrence-free survival (RFS) among patients with different tumor locations. Kaplan-Meier, Cox regression, and propensity score matching methods were employed to explore the association between tumor location and prognosis. Stratified populations were analyzed to minimize bias. This study included 118477 NMIBC patients and highlighted tumor location as a crucial factor impacting post-TURBT prognosis. Both anterior wall and dome tumors independently predicted adverse outcomes in two cohorts. For anterior wall tumors, the Chinese cohort showed hazard ratios (HR) for OS of 4.35 ( P <0.0001); RFS of 2.21 ( P <0.0001); SEER cohort OS HR of 1.10 ( P =0.0001); DSS HR of 1.13 ( P =0.0183). Dome tumors displayed similar trends [Chinese NMIBC cohort OS HR of 7.91 ( P <0.0001); RFS HR of 2.12 ( P <0.0001); SEER OS HR of 1.05 ( P =0.0087); DSS HR of 1.14 ( P =0.0006)]. Partial cystectomy significantly improved the survival of dome tumor patients compared to standard TURBT treatment ( P <0.01). This study reveals the significant impact of tumor location in NMIBC patients on the outcomes of TURBT treatment, with tumors in the anterior wall and bladder dome showing poor post-TURBT prognosis. Compared to TURBT treatment, partial cystectomy improves the prognosis for bladder dome tumors. This study provides guidance for personalized treatment and prognosis management for NMIBC patients.

The survival benefit associated with complete macroscopic resection in epithelial ovarian cancer is histotype-specific.

Complete macroscopic resection (CMR) is a key factor associated with prolonged survival in ovarian cancer. However, most evidence derives from high grade serous ovarian carcinoma (HGSOC), and the benefit of CMR in other histotypes is poorly characterised. We sought to determine which histotypes derive the greatest benefit from CMR to better inform future decisions on radical cytoreductive efforts. We performed multivariable analysis of disease-specific survival (DSS) across two independent patient cohorts to determine the magnitude of benefit associated with CMR within each histotype. Across both cohorts (Scottish, n = 1622; SEER, n = 18947), CMR was associated with prolonged DSS; this was more marked in the Scottish cohort (multivariable HR 0.44, 95%CI 0.37-0.52 vs 0.59, 95%CI 0.57-0.62 in SEER). In both cohorts, clear cell ovarian carcinoma (CCOC) was among the histotypes to benefit most from CMR (multivariable HR 0.23 and 0.50 in Scottish and SEER cohorts); HGSOC cases demonstrated highly significant and clinically meaningful survival benefit, but this was of lower magnitude than in CCOC and endometrioid ovarian carcinoma (EnOC) across both cohorts. The benefit derived in low grade serous ovarian carcinoma is also high (multivariable HR 0.27 in Scottish cohort). CMR was associated with prolonged survival in mucinous ovarian carcinoma (MOC) patients in the SEER cohort (multivariable HR 0.65), but the associated failed to reach statistical significance in the Scottish cohort. The overall ovarian cancer patient population demonstrates significant survival benefit associated with CMR; however, the magnitude of benefit differs between histotypes.

Ovarian carcinosarcoma is highly aggressive compared to other ovarian cancer histotypes

BackgroundOvarian carcinosarcoma (OCS) is an unusual ovarian cancer type characterized by distinct carcinomatous and sarcomatous components. OCS has been excluded from many of the pan-histotype studies of ovarian carcinoma, limiting our understanding of its behavior.MethodsWe performed a multi-cohort cross-sectional study of characteristics and outcomes in ovarian cancer patients from Scotland (n=2082) and the Surveillance, Epidemiology and End Results Program (SEER, n=44946) diagnosed with OCS or one of the other major histotypes: high grade serous (HGSOC), endometrioid (EnOC), clear cell (CCOC), mucinous (MOC) or low grade serous ovarian carcinoma (LGSOC). Differences in overall survival were quantified using Cox regression models to calculate hazard ratios (HR).ResultsAcross both cohorts, OCS patients were significantly older at diagnosis compared to all other histotypes (median age at diagnosis 69 and 67 in Scottish and SEER cohorts) and demonstrated the shortest survival time upon univariable analysis. Within the Scottish cohort, 59.3% and 16.9% of OCS patients presented with FIGO stage III and IV disease, respectively; this was significantly higher than in EnOC, CCOC or MOC (P&amp;lt;0.0001 for all), but lower than in HGSOC (P=0.004). Multivariable analysis accounting for other prognostic factors identified OCS as independently associated with significantly shorter survival time compared to HGSOC, EnOC, LGSOC and MOC in both the Scottish (multivariable HR vs OCS: HGSOC 0.45, EnOC 0.39, LGSOC 0.26, MOC 0.43) and SEER cohorts (multivariable HR vs OCS: HGSOC 0.59, EnOC 0.34, LGSOC 0.30, MOC 0.81). Within the SEER cohort, OCS also demonstrated shorter survival compared to CCOC (multivariable HR 0.63, 95% CI 0.58-0.68), but this was not replicated within the Scottish cohort (multivariable HR for CCOC: 1.05, 95% CI 0.74-1.51). Within early-stage disease specifically (FIGO I-II or SEER localized stage), OCS was associated with the poorest survival of all histotypes across both cohorts. In the context of late-stage disease (FIGO III-IV or SEER distant stage), OCS, MOC and CCOC represented the histotypes with poorest survival.ConclusionOCS is a unique ovarian cancer type that affects older women and is associated with exceptionally poor outcome, even when diagnosed at earlier stage. New therapeutic options are urgently required to improve outcomes.

Abstract 4792: Nationwide patterns of incidence and surveillance of second primary lung cancer among long-term lung cancer survivors using SEER Medicare data

Abstract Background: With advances in screening and therapy, the number of lung cancer (LC) survivors is rapidly increasing, with over half a million as of 2019. Prior studies demonstrated that the incidence of second primary lung cancer (SPLC) among LC survivors is 4-6 times that of initial primary lung cancer (IPLC) in the general population. However, the incidence of SPLC and surveillance strategies using computed tomography (CT) have not been examined in long-term LC survivors with over 5-year survival. We aim to estimate SPLC incidence among long-term survivors and the effectiveness of annual surveillance CT exams. Methods: We used data from SEER-Medicare with a cohort of 1,232,338 LC patients from the SEER cancer registry followed till death or last follow-up, who were also enrolled in Medicare in 1999-2020. The study cohort included 12,948 patients who were long-term survivors (≥ 5-year survival from IPLC) by age 65, received curative therapy for IPLC, and were continuously enrolled in Medicare 1 year prior to 5 years after IPLC diagnosis. The primary outcome was the 10-year cumulative SPLC incidence accounting for competing risk of death in the full study cohort and by receipt of surveillance CTs post-5-year survival, defined using detailed billing and LC-related ICD codes. To qualify as surveillance CTs, two annual CTs 9-18 months apart is required. Cox regression was used as exploratory analysis to examine the association between LC-specific survival (LC as cause of death) and the receipt of two CTs post-5-year survival as a binary variable, adjusting for SPLC diagnosis, age, sex, marital status, race, IPLC stage, income, education, and poverty. Results: Of 12,948 long-term LC survivors, 46% (n=6,015) were male, 90% (n=11,476) had early-stage disease, 77% (n=9,945) had undergone surgery for initial curative treatment, and 3.8% (n = 486) received two surveillance CTs initiated within 18 months post-5-year survival. The 10-year cumulative incidence of SPLC was 5.06% [95% CI: 5.00-5.12%] in the SEER cohort but was substantially higher among long-term LC survivors at 13.6% [13.0-14.2%]. Those who received two annual surveillance CTs after 5-year survival had a significantly higher 10-year SPLC incidence (23.3% [19.4 - 27.2%]) than those who received one or no CT (13.2% [12.6 - 13.8%]). The adjusted hazard ratio of the association between LC-specific survival and receipt of two CTs was 0.67 [0.59-0.80, p &amp;lt; 0.0001]. Conclusions: The high cumulative risk of SPLC among long-term LC survivors warrants tailored surveillance strategies. Our exploratory analysis showed a high SPLC detection rate among those who received two annual surveillance CTs vs. those who did not, with significantly higher LC-specific survival in the former. Future work will include extensive analysis accounting for time-varying exposure of multiple surveillance CTs using rigorous causal inference methods. Citation Format: Chloe C. Su, Eunji Choi, Julie T. Wu, Allison W. Kurian, Michelle C. Odden, Manisha Desai, Leah M. Backhus, Heather A. Wakelee, Ann N. Leung, Joel W. Neal, Summer S. Han. Nationwide patterns of incidence and surveillance of second primary lung cancer among long-term lung cancer survivors using SEER Medicare data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4792.

Malignant mixed mullerian tumors: a SEER database review of rurality and treatment modalities on disease outcome.

Malignant Mixed Mullerian Tumors (MMMT) are rare and poorly understood sarcomas with limited research on risk factors, pathogenesis, and optimal treatments. This study aimed to address this knowledge gap and explore the impact of community size, patient characteristics, disease characteristics, and treatment modalities on MMMT outcomes. Using the Surveillance, Epidemiology, and End Results database (SEER), the largest SEER cohort to date of 3,352 MMMT patients was analyzed for demographic factors, treatment modalities, and histologic characteristics. Data was processed, including the removal of incomplete entries, and analyzed in Python 3.1 using packages scikit-learn, lifelines, and torch; log-rank analysis and Cox proportional hazards models were used to evaluate a number of demographic characteristics and disease characteristics for significance in regard to survival. Our study found adjuvant radiotherapy and chemotherapy significantly improved survival, with modest benefits from neoadjuvant chemotherapy. Our findings also suggest age at diagnosis, disease grade, and suburban versus rural geographic locations may play key roles in patient prognosis. On multivariable analysis both disease Grade and surgical treatment were significant factors. MMMTs remain challenging, but appropriate treatment appears to enhance survival. The present findings suggest opportunities for improved outcomes and treatment strategies for patients with MMMTs.

A predictive model for early death in elderly colorectal cancer patients: a population-based study.

The purpose of this study is to determine what variables contribute to the early death of elderly colorectal cancer patients (ECRC) and to generate predictive nomograms for this population. This retrospective cohort analysis included elderly individuals (≥75 years old) diagnosed with colorectal cancer (CRC) from 2010-2015 in the Surveillance, Epidemiology, and End Result databases (SEER) databases. The external validation was conducted using a sample of the Chinese population obtained from the China-Japan Union Hospital of Jilin University. Logistic regression analyses were used to ascertain variables associated with early death and to develop nomograms. The nomograms were internally and externally validated with the help of the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). The SEER cohort consisted of 28,111 individuals, while the Chinese cohort contained 315 cases. Logistic regression analyses shown that race, marital status, tumor size, Grade, T stage, N stage, M stage, brain metastasis, liver metastasis, bone metastasis, surgery, chemotherapy, and radiotherapy were independent prognostic factors for all-cause and cancer-specific early death in ECRC patients; The variable of sex was only related to an increased risk of all-cause early death, whereas the factor of insurance status was solely associated with an increased risk of cancer-specific early death. Subsequently, two nomograms were devised to estimate the likelihood of all-cause and cancer-specific early death among individuals with ECRC. The nomograms exhibited robust predictive accuracy for predicting early death of ECRC patients, as evidenced by both internal and external validation. We developed two easy-to-use nomograms to predicting the likelihood of early death in ECRC patients, which would contribute significantly to the improvement of clinical decision-making and the formulation of personalized treatment approaches for this particular population.

Establishment of a staging system for visceral sarcoma.

Visceral sarcoma is a rare malignancy with a poor prognosis. However, there is no recommended prognostic staging system for the malignant disease. We analyzed the data of patients diagnosed with primary soft tissue sarcoma (STS) of the abdomen and thoracic visceral organs between 2006 and 2017 at our hospital. Prognostic factors (size, tumor grade, and lymph node metastasis) were analyzed in our cohort (n = 203) and the SEER validation cohort (n = 5826). Tumor size, grade, and lymph node metastasis were important prognostic factors for visceral sarcoma in both our and the SEER cohorts. Based on these prognostic factors, we established a new staging system for visceral sarcoma, by which patients could be stratified into clinically meaningful and non-overlapping stages in both our cohort and the SEER validation series. Moreover, the area under the curve (AUC) value of the staging system for 5-year survival was 0.84 (95% CI: 0.78-0.89) in our series and 0.80 (95% CI: 0.79-0.81) in SEER series, respectively. In addition, compared with the widely used FIGO staging system for female genital sarcoma, the visceral sarcoma staging system could more effectively and reliably stratify patients into four different prognostic groups. The visceral sarcoma staging system is applicable for STS of the abdomen and thoracic visceral organs and is better than the current FIGO staging system for female genital sarcoma and should be incorporated into the AJCC Cancer Staging Manual.

Socioeconomic Determinants and the Biology and Outcomes of Acute Lymphoblastic Leukemia in Adults

Introduction Implementation of pediatric-inspired chemotherapy regimens improved survival outcomes in adolescents and young adults (AYA) with acute lymphoblastic leukemia (ALL). Prior studies demonstrated that Non-Hispanic White (NHW) patients had better survival outcomes in the real-world AYA setting, but this effect was not observed in the pivotal CALGB 10403 clinical trial. To better characterize the socioeconomic versus biologic determinants of ALL outcomes, we conducted a single-institution, retrospective analysis of adult patients with ALL at the University of Chicago. We sought to investigate the impact of socioeconomic factors on ALL outcomes when patients are treated at a multidisciplinary, tertiary-care ALL center. Methods Adult patients with ALL treated at the University of Chicago between 2010 and 2022 were studied. Subtype classification was based on the 2022 WHO criteria. ALL patients were treated according to age-appropriate regimens (AYA with CALGB 10403-based regimens, older adults (&amp;gt;40) with lower intensity approaches). Because of treatment differences, outcomes of AYA and older patients were analyzed separately. Self-reported race was reported with guidelines from the National Cancer Institute (https://www.nih.gov/nih-style-guide/race-national-origin). Body mass index (BMI) was recorded at diagnosis. Annual median income was estimated based on the zip code of residence and categorized as high (&amp;gt;$50,000), middle ($35,000-50,000), and low (&amp;lt;$35,000). Additionally, we extracted data from the public use US population-based cancer registries of the Surveillance, Epidemiology, and End Results (SEER, http://seer.cancer.gov) program to estimate overall survival (OS) of ALL patients diagnosed between 2005 and 2020. Results Demographic and disease characteristics of 221 adult ALL patients treated at the University of Chicago are summarized in Table 1. BCR::ABL1 was more prevalent in Black ALL patients compared to NHW and Hispanic White (HW) patients (59% vs 24% and 20%, respectively, p=0.001). This phenotypic subtype was also associated with higher BMI (OR 7.64; 95% CI=1.17-49.9, p=0.03). Compared to NHW patients, low annual household income was more frequent in HW and Black patients (2% vs 13% and 24%, respectively, p&amp;lt;0.001). Similar OS was seen among NHW, HW, and Black patients when stratified by age (AYA vs older adult), B vs T-lineage phenotype, or median household income. Obesity at B-ALL diagnosis was associated with adverse OS, and median OS for patients with BMI &amp;lt;30, 30-40, and &amp;gt;40 were 113 months, 34 months (HR 2.04; 95% CI=1.27-3.28, p=0.003), and 23 months (HR 2.70; 95% CI=1.34-5.42, p=0.005), respectively. In our multivariable analysis, factors that were independently associated with adverse OS were age and BMI at diagnosis (HR 6.93; 95% CI 2.27-21.1, p=0.0007; HR 10.3; 95% CI 2.56-41.5, p=0.001, respectively), while BCR::ABL1 positivity predicted favorable OS (HR 0.41; 95% CI 0.2-0.87, p=0.02, see Figure 1). Compared to the SEER cohort, OS in older University of Chicago patients was better than the national average (53 months vs 23 months, HR 0.70; 95% CI=0.56-0.88, p=0.003). Among SEER AYA patients from 2015-2020, HW (HR 1.54; 95% CI=1.26-1.91, p=&amp;lt;0.001) and Black (HR 1.64; 95% CI=1.14-2.36, p=0.006) patients had significantly worse OS compared to NHW patients. Finally, SEER data showed that patients with higher median household incomes had better OS than patients with lower incomes. Specifically, older adult patients who reported higher median household income had better OS at 24 months compared to older adults with medium or low income at 15 months (respectively, HR 1.25; 95% CI=1.10-1.47, p=&amp;lt;0.001; HR 1.52; 95% CI=1.07-2.17, p=0.01). Conclusion While SEER data demonstrated significant OS differences based on race and median household income nation-wide, these variables did not predict adverse OS at our institution. The University of Chicago has an ALL center with a dedicated AYA clinic offering resources to support patients throughout their long pediatric-inspired therapies, as well as clinical trial options for both young and older adults. Located in a historically Black and low-income neighborhood, the University of Chicago plays a critical role in addressing socioeconomic disparities in ALL care for our community. Further interventional studies are needed to modify the poor prognostic impact of obesity in patients with ALL.

Resection of the primary tumor improves the prognosis of gastrointestinal neuroendocrine neoplasms with liver metastases: mutual validation based on SEER database and institutional data

BackgroundGastrointestinal Neuroendocrine Neoplasms (GI-NENs) often result in liver metastases, and the role of Primary Tumor Resection (PTR) in managing GI-NENs with liver metastases (GI-NENLM) is still debated. This study aimed to investigate the potential benefits of PTR in treating GI-NENLM by analyzing data from the Surveillance, Epidemiology, and End Results Program (SEER) and the First Affiliated Hospital of Sun Yat-sen University (FAH).MethodsThe SEER Registry 17 database and the FAH clinical pathology database were used to collect clinicopathology data for GI-NENLM diagnosed between 2010 and 2019 and between 2011 and 2022, respectively. Propensity score matching (PSM) was used to match the clinicopathological characteristics of patients from both cohorts. Inverse probability weighting (IPTW) was used to weigh the PTR and non-PTR groups. The primary endpoint was overall survival (OS).ResultsAfter matching, 155 patients from the SEER database were matched to the FAH cohort. PTR was significantly associated with better prognosis in PSM-matched/unmatched SEER cohorts (P < 0.01) and in the FAH cohort even after eliminating selection bias using IPTW (p < 0.01). Subgroup analysis suggests that the cohort consisting of patients aged 55 years or older, individuals with colorectal primary tumors, those at the T1 disease stage, and those without extrahepatic metastasis may potentially benefit from PTR. Interaction analysis showed no significant interaction between PTR and other clinical and pathological factors except for age.ConclusionThe employment of PTR in patients with GI-NENLM is significantly correlated with individual survival benefits. We support performing PTR on carefully evaluated patients.

Development and external validation of dual online tools for prognostic assessment in elderly patients with high-grade glioma: a comprehensive study using SEER and Chinese cohorts.

Elderly individuals diagnosed with high-grade gliomas frequently experience unfavorable outcomes. We aimed to design two web-based instruments for prognosis to predict overall survival (OS) and cancer-specific survival (CSS), assisting clinical decision-making. We scrutinized data from the SEER database on 5,245 elderly patients diagnosed with high-grade glioma between 2000-2020, segmenting them into training (3,672) and validation (1,573) subsets. An additional external validation cohort was obtained from our institution. Prognostic determinants were pinpointed using Cox regression analyses, which facilitated the construction of the nomogram. The nomogram's predictive precision for OS and CSS was gauged using calibration and ROC curves, the C-index, and decision curve analysis (DCA). Based on risk scores, patients were stratified into high or low-risk categories, and survival disparities were explored. Using multivariate Cox regression, we identified several prognostic factors for overall survival (OS) and cancer-specific survival (CSS) in elderly patients with high-grade gliomas, including age, tumor location, size, surgical technique, and therapies. Two digital nomograms were formulated anchored on these determinants. For OS, the C-index values in the training, internal, and external validation cohorts were 0.734, 0.729, and 0.701, respectively. We also derived AUC values for 3-, 6-, and 12-month periods. For CSS, the C-index values for the training and validation groups were 0.733 and 0.727, with analogous AUC metrics. The efficacy and clinical relevance of the nomograms were corroborated via ROC curves, calibration plots, and DCA for both cohorts. Our investigation pinpointed pivotal risk factors in elderly glioma patients, leading to the development of an instrumental prognostic nomogram for OS and CSS. This instrument offers invaluable insights to optimize treatment strategies.

The number of metastatic lymph nodes is more predictive of prognosis than location-based N stage for nonsmall cell lung cancer: a retrospective cohort study.

The eighth edition of nodal classification is defined only by the anatomical location of metastatic lymph nodes and has limited prognostic discrimination power. The authors aimed to evaluate the prognostic significance and discriminatory capability of the number of metastatic lymph nodes (nN) in resected nonsmall cell lung cancer. Patients with stage IA to IIIB resected nonsmall cell lung cancer between 1 January 2009 and 31 December 2013 were analyzed as a Chinese cohort. The optimal thresholds for the nN classification were determined by the X-tile. The receiver operating characteristic curve, net reclassification improvement and standardized net benefit calculated by decision curve analysis was estimated to quantify the nN classification's performance in prognostic stratification. External validation in the surveillance, epidemiology, and end results database was performed to test the robustness of the nN classification. Both cohorts showed a stepwise prognosis deterioration with increasing nN. One to three, four to six, and more than six were selected as optimal thresholds of nN classification in the Chinese cohort, which included 4432 patients, then validated in the SEER cohort ( n =28022 patients). Multivariate Cox analysis showed the nN classification was an independent predictive factor for overall survival in both cohorts (Chinese cohort and SEER cohort: N 0 vs. N 1-3 , P <0.001; N 0 vs. N 3-6 , P <0.001; N 0 vs. N >6 , P <0.001). And prognostic discriminatory capability was improved in the nN classification compared with location-based N classification [5-year NRI score, 0.106 (95% CI: 0.049-0.132) and 5-year time-independent AUC, 0.593 (95% CI: 0.560-0.625) vs. 0.554 (95% CI: 0.520-0.588), P <0.001]. The nN classification tended to be a superior prognostic indicator than the location-based N classification. The number of metastatic lymph nodes should be considered in the future revision of the TNM system.

Identification of risk factors and prediction models for secondary malignant neoplasms (SMNs)-free survival and SMNs-specific survival in testicular cancer survivors.

This research endeavored to determine the key demographic and pathological factors tied to secondary malignant neoplasms (SMNs) in survivors of testicular cancer and to develop a predictive model. A total of 53,309 testicular cancer patients from the SEER national database (1975-2016) were included in our analysis. The primary outcome measured was SMNs-free survival, defined as the duration from testicular cancer diagnosis to the detection of a non-testicular malignancy. The secondary outcome was SMN-specific survival, defined as the period from testicular cancer diagnosis until the patient's death due to SMNs. Of the patients in the SEER cohort, 2978 (5.6%) developed non-testicular cancer SMNs. Higher age, receipt of chemotherapy, and radiation treatment were all significantly associated with the development of SMNs in survivors of testicular cancer (all p < 0.001). Kaplan-Meier analysis revealed a worse SMNs-free survival and poor SMN-specific survival in patients who underwent radiation therapy (both p < 0.001). Multivariable Cox regression analysis found non-Hispanic Black ethnicity, higher age, chemotherapy, and radiation therapy to be significantly associated with worse SMNs-free survival (p = 0.002, p < 0.001, p < 0.001, and p < 0.001, respectively), while lymphoma histology was associated with better SMNs-free survival (p < 0.001). The most common SMN types in patients receiving radiation therapy were prostate, lung, and bladder cancers. Predictive nomograms for SMNs-free survival and SMNs-specific survival were developed, with a C-index of 0.776 and 0.824, respectively. The age of diagnosis, non-Hispanic Black ethnicity, lymphoma histology, and treatment history with chemotherapy and radiation therapy were identified as prognostic factors for SMNs-free survival.

Multiple Myeloma in Adolescent and Young Adults: An ASCO CancerLinQ and SEER Analysis

BackgroundMultiple myeloma (MM) is exceedingly rare in adolescents and young adults (AYAs) < 45 years of age. MethodsReal-world data from ASCO's CancerLinQ DiscoveryⓇ (CLQD) MM dataset and SEER were utilized to characterize demographics and outcomes of AYA MM patients in the United States in the modern treatment era. Frequencies of SPMs, VTEs, and infections were assessed, as were OS and cause of death. ResultsA total of 1946 AYA MM patients from SEER and 1334 from CancerLinQ were included. In terms of SPMs, AYAs were more likely to develop ALL (RR 2.6, P = .003) and AML (RR 1.7, P = .034), and less likely to develop nonmelanoma skin cancer (RR 0.2, P = .001) and prostate cancer (RR 0.1, P = .013) than MM patients ≥ 45. AYAs were at lower risk of VTE (RR 0.75, P = .002) and slightly higher risk of infections (RR 1.11, P = .002). Median OS among AYA MM patients was significantly longer than MM patients ≥ 45 in both datasets. In the SEER cohort, female sex (HR 0.74, P = .003), non-Hispanic ethnicity (HR 0.73, P = .005), and annual household income ≥ $65,000 per year (HR 0.67, P = .001) were associated with lower hazards of mortality. In the CLQD cohort, OS was significantly influenced by female sex (HR 0.6, P = .048). Race did not have a statistically significant impact OS in either cohort. Most AYAs died of MM (68.3%), other primary malignancy (7.5%, mostly leukemia), and cardiovascular events (5.2%). Infections accounted for 3.2% of deaths. ConclusionThis analysis highlights some unique characteristics of AYA MM patients in the United States in the modern era.

Correlation of cardiovascular disease with racial disparities in endometrial cancer outcomes.

5602 Background: Survival for Black women with endometrial cancer (EC) is shorter than that for non-Hispanic White (NHW) women, with a rate ratio for mortality of 1.98 per the American Cancer Society. Cardiovascular risk factors and disease are also more prevalent in Black women than NHW women. In women with breast cancer, Black patients received less optimal management of comorbidities and experienced increased cardiovascular disease (CVD)-related mortality as compared to White women. Similar to breast cancer, we hypothesize that CVD contributes to EC mortality disparities for Black women. Methods: In this retrospective cohort study, SEER and institutional data were utilized to investigate the contribution of CVD to outcomes for Black EC patients. The primary outcome was the contribution of cardiovascular mortality to the overall survival of Black patients. Secondary outcomes included identifying rates of new cardiovascular diagnoses, renal dysfunction, and adequacy of blood pressure control. The SEER cohort was defined using SEER*Stat 8.4.0.1. Uterine cancer patients were identified from the 2020 SEER Research Data. Survival by cause of death and proportion of deaths by cause of death were analyzed. Raw and adjusted hazard ratios for cardiovascular mortality were calculated. Next, institutional data was used to investigate survival, CVD diagnoses, renal dysfunction, and HTN in EC patients. Results: The SEER cohort contained 192,465 patients. Of these, 153,878 (80.8%) were White and 19,906 (10.3%) were Black. Black race was associated with decreased survival among patients who died of cardiovascular causes (HR 1.51, 95% CI 1.4 - 1.63, p &lt; 2*10-16). When adjusted for age, stage, and histology, the hazard for decreased survival remained elevated for Black patients who died of cardiovascular causes (adjusted HR 1.65, 95% CI 1.52-1.77, p &lt; 2*10-16). Our institutional cohort included 1491 patients, 1263 (84.7%) White and 151 (10.0%) Black. Black patients had a relative risk of death of 1.92 (95% CI 1.38 - 2.61) compared with White patients. Among patients with CVD, the hazard for death was 2.02 (95% CI 1.39 - 2.80). Black patients had significantly higher blood pressure, creatinine, and eGFR measurements. Conclusions: Racial outcome disparities in EC are multifactorial. CVD management will become increasingly important with the use of targeted therapies including lenvatinib and trastuzumab. Our study highlights an additional area of disparity and suggests possible interventions.

Predicting survival and prognosis of postoperative breast cancer brain metastasis: A population-based retrospective analysis.

e14011 Background: The study aimed to construct a novel predictive clinical model to evaluate the overall survival (OS) of patients with postoperative brain metastasis of breast cancer (BCBM) and validate its effectiveness. Methods: From 2010 to 2020, a total of 310 female patients with BCBM were diagnosed in The Affiliated Cancer Hospital of Xinjiang Medical University, and were randomly assigned to the training cohort and the validation cohort. Another 173 BCBM patients were collected from the Surveillance, Epidemiology, and End Results Program (SEER) database as an external validation cohort. In the training cohort, the least absolute shrinkage and selection operator (LASSO) Cox regression model was used to determine the fundamental clinical predictive indicators and the nomogram was constructed to predict OS. The model capability was assessed using receiver operating characteristic, C-index, and calibration curves. Kaplan–Meier survival analysis was performed to evaluate clinical effectiveness of the risk stratification system in the model. The accuracy and prediction capability of the model were verified using the validation and SEER cohorts. Results: LASSO Cox regression analysis revealed that lymph node metastasis, molecular subtype, tumor size, chemotherapy, radiotherapy, and lung metastasis were statistically correlated with BCBM. The C-indexes of the survival nomogram in the training, validation, and SEER cohorts were 0.714, 0.710, and 0.670, respectively, which showed good prediction capability. The calibration curves demonstrated that the nomogram had great forecast precision, and a dynamic diagram was drawn to increase the maneuverability of the results. The R showed that the OS of low-risk patients was considerably better than that of high-risk patients ( P &lt;0.001). Conclusions: The nomogram prediction model constructed in this study has a good predictive value, which can effectively evaluate the survival rate of patients with postoperative BCBM.

Predicting survival and prognosis of postoperative breast cancer brain metastasis: a population-based retrospective analysis.

Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis. The study aimed to construct a novel predictive clinical model to evaluate the overall survival (OS) of patients with postoperative brain metastasis of breast cancer (BCBM) and validate its effectiveness. From 2010 to 2020, a total of 310 female patients with BCBM were diagnosed in The Affiliated Cancer Hospital of Xinjiang Medical University, and they were randomly assigned to the training cohort and the validation cohort. Another 173 BCBM patients were collected from the Surveillance, Epidemiology, and End Results Program (SEER) database as an external validation cohort. In the training cohort, the least absolute shrinkage and selection operator (LASSO) Cox regression model was used to determine the fundamental clinical predictive indicators and the nomogram was constructed to predict OS. The model capability was assessed using receiver operating characteristic, C-index, and calibration curves. Kaplan-Meier survival analysis was performed to evaluate clinical effectiveness of the risk stratification system in the model. The accuracy and prediction capability of the model were verified using the validation and SEER cohorts. LASSO Cox regression analysis revealed that lymph node metastasis, molecular subtype, tumor size, chemotherapy, radiotherapy, and lung metastasis were statistically correlated with BCBM. The C-indexes of the survival nomogram in the training, validation, and SEER cohorts were 0.714, 0.710, and 0.670, respectively, which showed good prediction capability. The calibration curves demonstrated that the nomogram had great forecast precision, and a dynamic diagram was drawn to increase the maneuverability of the results. The Risk Stratification System showed that the OS of low-risk patients was considerably better than that of high-risk patients (P <0.001). The nomogram prediction model constructed in this study has a good predictive value, which can effectively evaluate the survival rate of patients with postoperative BCBM.

Clinical atlas of rectal cancer highlights the barriers and insufficient interventions underlying the unfavorable outcomes in older patients

BackgroundAging confers an increased risk of developing cancer, and the global burden of cancer is cumulating as human longevity increases. Providing adequate care for old patients with rectal cancer is challenging and complex. MethodA total of 428 and 44,788 patients diagnosed with non-metastatic rectal cancer from a referral tertiary care center (SYSU cohort) and the Surveillance Epidemiology and End Results database (SEER cohort) were included. Patients were categorized into old (over 65 years) and young (aged 50–65 years) groups. An age-specific clinical atlas of rectal cancer was generated, including the demographic and clinicopathological features, molecular profiles, treatment strategies, and clinical outcomes. ResultsOld and young patients were similar in clinicopathological risk factors and molecular features, including TNM stage, tumor location, tumor differentiation, tumor morphology, lymphovascular invasion, and perineural invasion. However, old patients had significantly worse nutritional status and more comorbidities than young patients. In addition, old age was independently associated with less systemic cancer treatment (adjusted odds ratio 0.294 [95% CI 0.184–0.463, P < 0.001]). We found that old patients had significantly worse overall survival (OS) outcomes in both SYSU (P < 0.001) and SEER (P < 0.001) cohorts. Moreover, the death and recurrence risk of old patients in the subgroup not receiving chemo/radiotherapy (P < 0.001 for OS, and P = 0.046 for time to recurrence [TTR]) reverted into no significant risk in the subgroup receiving chemo/radiotherapy. ConclusionsAlthough old patients had similar tumor features to young patients, they had unfavorable survival outcomes associated with insufficient cancer care from old age. Specific trials with comprehensive geriatric assessment for old patients are needed to identify the optimal treatment regimens and improve unmet cancer care. Study registrationThe study was registered on the research registry with the identifier of researchregistry 7635.

Incidence and prognostic nomogram for resected non-small cell neuroendocrine tumor: A population-based respective study in China and the SEER database

BackgroundPulmonary neuroendocrine tumors, including small cell lung cancer (SCLC) and non-small cell neuroendocrine tumor (NSCLC-NET), have obvious heterogeneity. The comparison between SCLC and NSCLC-NET, and prognostic nomogram of resected NSCLC-NET have not been performed. MethodsWe retrieved data from SEER database. The incidence and prognostic factors were compared between SCLC and NSCLC-NET. By Cox regression, we constructed prognostic nomogram of resected NSCLC-NET. The nomogram was evaluated by ROC, calibration plot and decision curve analysis (DCA) and compared with 8th TNM staging system. A Chinese cohort was used for external validation. ResultsThe age-adjusted incidence of SCLC declined after 1991 but the incidence of NSCLC-NET continuously rose. Patients with typical carcinoid had the best prognosis in both overall survival and lung cancer specific survival, followed by atypical carcinoid, large cell neuroendocrine tumor and SCLC after operation. Patients receiving sleeve resection in NSCLC-NET had longer survival but segmental resection was more recommended in SCLC. High-smoking index was associated with worse overall survival in both SCLC and NSCLC-NET. Histological subtype, age, surgery type, N, M stage and chemotherapy were independent prognostic factors and used to construct prognostic nomogram of resected NSCLC-NET. The nomogram performed well with good discrimination, calibration and clinical usefulness, which was validated by a Chinese cohort (1, 3, 5-year AUC: SEER cohort 0.873, 0.901, 0.875; Chinese cohort 0.867, 0.892, 0.874). Compared to the 8th staging system, the nomogram had higher C-index (0.87 vs 0.728, P < 0.001), clinical usefulness, increasing AUC value over time and improved 68%. ConclusionThe prognostic nomogram of resected NSCLC-NET performed better than the 8th TNM staging system. It may have certain value in risk stratification and survival prediction of patients with resected NSCLC-NET and help clinicians to take measures for high-risk patients in advance.