SEER Database Research Articles

A temporal and multinational assessment of acute myeloid leukemia (AML) cancer incidence, survival, and disease burden

Understanding the global epidemiology of AML is critical for assessing therapeutic demand and informing healthcare resource allocation. This study estimated current and future AML incidence in 27 countries, described AML survival trends in the United States, and calculated average years of life lost (AYLL). Incidence rates were age-standardized using rates from IARC’s Cancer Incidence in Five Continents and SEER databases and ranged from 0.70 to 3.23 cases per 100,000 persons. Crude incidence rates were projected from 2024 to 2040; growth varied from +1% to +46%. Median overall survival was derived from SEER databases and increased from 4 to 11 months over the last 40 years. Median AYLL of 18.6 years was estimated for 27 countries. This study projected significant growth in new AML diagnoses over the next two decades. Despite improvements in survival over the last four decades, median survival among AML patients remains poor highlighting the need for novel treatments.

Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis

Medulloblastoma is a malignant neuroepithelial tumor of the central nervous system. Accurate prediction of prognosis is essential for therapeutic decisions in medulloblastoma patients. We analyzed data from 2,322 medulloblastoma patients using the SEER database and randomly divided the dataset into training and testing datasets in a 7:3 ratio. We chose three models to build, one based on neural networks (DeepSurv), one based on ensemble learning that Random Survival Forest (RSF), and a typical Cox Proportional-hazards (CoxPH) model. The DeepSurv model outperformed the RSF and classic CoxPH models with C-indexes of 0.751 and 0.763 for the training and test datasets. Additionally, the DeepSurv model showed better accuracy in predicting 1-, 3-, and 5-year survival rates (AUC: 0.767–0.793). Therefore, our prediction model based on deep learning algorithms can more accurately predict the survival rate and survival period of medulloblastoma compared to other models.

Incidence rate and risk factors for suicide in patients with breast cancer in the USA: A surveillance, epidemiology, and end results analysis (SEER)

PurposeTo investigate suicide mortality and the related factors among female breast cancer patients in the United States. MethodsThe SEER database was used to identify 716,422 patients diagnosed with breast cancer between 2010 and 2018 to calculate a standardized mortality rate (SMR). An analysis of risk factors for suicide death was conducted using the univariate and multivariate Cox proportional risk model. An estimation of suicide probability was performed through a nomogram model. ResultsCompared with the expected suicide cases (n = 155) in the general population of the United States at the corresponding period (a suicide death rate of 5.71 per 100,000 person-years), the suicide rate among 716,422 breast cancer patients was followed during 2010–2018 and showed a relatively higher rate of 9.02 per 100,000 person-years. The SMR was 1.58 (95%CI: 1.39–1.79). White and other races were nine and seven times more likely to complete suicide than Black race, respectively (aHR = 9.013, 95%CI: 3.335–24.36, P < 0.001; aHR = 7.129, 95%CI: 2.317–21.931, P = 0.001); unmarried or single patients were at higher risk than married patients (aHR = 1.693, 95%CI: 1.206–2.377, P = 0.002). Patients receiving radiotherapy (aHR = 0.731, 95%CI: 0.545–0.980, P = 0.036) were less likely to complete suicide than those who did not. ConclusionFemale breast cancer patients in the United States have a higher suicide rate than the general public, and the risk factors consist of non-black ethnicity, being single or unmarried, and not being treated with radiotherapy. As a result of this study, clinicians may be able to identify female breast cancer patients who are at high risk of suicide, thus providing appropriate psychological support at the early stage.

Effect of different treatment modalities on the prognosis of stage IV epithelial ovarian cancer: analysis of the SEER database

BackgroundThe prognosis of advanced ovarian cancer is often poor. Although there are several treatment options for stage IV epithelial ovarian cancer, it is not clear which treatment will benefit the patient’s prognosis.We conducted an analysis using the SEER database to compare the impact of different treatment modalities on the prognosis of advanced ovarian cancer.MethodsThe present study conducts a retrospective analysis of relevant data from the SEER database pertaining to patients diagnosed with stage IV epithelial ovarian cancer between 2011 and 2020 (n = 5345). Statistical methods including Kaplan-Meier curves, log-rank tests, and Cox regression analysis are employed to ascertain the impact of different treatment regimens on the prognosis of patients with stage IV epithelial ovarian cancer.ResultsAmong patients with stage IV epithelial ovarian cancer, age ≥ 60 and the presence of lung metastases or multiple metastases were identified as poor prognostic factors. Conversely, being Asian or Pacific Islander, married, and testing negative for CA125 were associated with favorable prognoses. In terms of the choice of treatment for patients, surgery plus chemotherapy was the best treatment modality, and timely surgery could significantly improve the prognosis of patients, but there was no difference between chemoradiotherapy alone and the surgery group among patients with lung metastases.ConclusionThe prognosis of patients with stage IV epithelial ovarian cancer is influenced by many factors. In terms of the choice of treatment, patients with surgery plus chemotherapy have the best prognosis. In cases where lung metastases are inoperable, a combination of radiotherapy and chemotherapy can be used. In other cases, radiotherapy does not improve outcomes in patients with stage IV epithelial ovarian cancer. This study provides a basis for the choice of treatment for patients with stage IV epithelial ovarian cancer.

Triple-negative breast cancer survival prediction: population-based research using the SEER database and an external validation cohort.

Triple-negative breast cancer (TNBC) is linked to a poorer outlook, heightened aggressiveness relative to other breast cancer variants, and limited treatment choices. The absence of conventional treatment methods makes TNBC patients susceptible to metastasis. The objective of this research was to assess the clinical and pathological traits of TNBC patients, predict the influence of risk elements on their outlook, and create a prediction model to assist doctors in treating TNBC patients and enhancing their prognosis. We included 23,394 individuals with complete baseline clinical data and survival information who were diagnosed with primary TNBC between 2010 and 2015 based on the SEER database. External validation utilised a group from The Affiliated Lihuili Hospital of Ningbo University. Independent risk factors linked to TNBC prognosis were identified through univariate, multivariate, and least absolute shrinkage and selection operator regression methods. These characteristics were chosen as parameters to develop 3- and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) nomogram models. Model accuracy was assessed using calibration curves, consistency indices (C-indices), receiver operating characteristic curves (ROCs), and decision curve analyses (DCAs). Finally, TNBC patients were divided into groups of high, medium, and low risk, employing the nomogram model for conducting a Kaplan-Meier survival analysis. In the training cohort, variables such as age at diagnosis, marital status, grade, T stage, N stage, M stage, surgery, radiation, and chemotherapy were linked to OS and BCSS. For the nomogram, the C-indices stood at 0.762, 0.747, and 0.764 in forecasting OS across the training, internal validation, and external validation groups, respectively. Additionally, the C-index values for the training, internal validation, and external validation groups in BCSS prediction stood at 0.793, 0.755, and 0.811, in that order. The findings revealed that the calibration of our nomogram model was successful, and the time-variant ROC curves highlighted its effectiveness in clinical settings. Ultimately, the clinical DCA showcased the prospective clinical advantages of the suggested model. Furthermore, the online version was simple to use, and nomogram classification may enhance the differentiation of TNBC prognosis and distinguish risk groups more accurately. These nomograms are precise tools for assessing risk in patients with TNBC and forecasting survival. They can help doctors identify prognostic markers and create more effective treatment plans for patients with TNBC, providing more accurate assessments of their 3- and 5-year OS and BCSS.

Construction of a novel nomogram for predicting overall survival in patients with Siewert type II AEG based on LODDS: a study based on the seer database and external validation.

In recent years, the incidence of adenocarcinoma of the esophagogastric junction (AEG) has been rapidly increasing globally. Despite advances in the diagnosis and treatment of AEG, the overall prognosis for AEG patients remains concerning. Therefore, analyzing prognostic factors for AEG patients of Siewert type II and constructing a prognostic model for AEG patients is important. Data of primary Siewert type II AEG patients from the SEER database from 2004 to 2015 were obtained and randomly divided into training and internal validation cohort. Additionally, data of primary Siewert type II AEG patients from the China Medical University Dandong Central Hospital from 2012 to 2018 were collected for external validation. Each variable in the training set underwent univariate Cox analysis, and variables with statistical significance (p < 0.05) were added to the LASSO equation for feature selection. Multivariate Cox analysis was then conducted to determine the independent predictive factors. A nomogram for predicting overall survival (OS) was developed, and its performance was evaluated using ROC curves, calibration curves, and decision curves. NRI and IDI were calculated to assess the improvement of the new prediction model relative to TNM staging. Patients were stratified into high-risk and low-risk groups based on the risk scores from the nomogram. Age, Differentiation grade, T stage, M stage, and LODDS (Log Odds of Positive Lymph Nodes)were independent prognostic factors for OS. The AUC values of the ROC curves for the nomogram in the training set, internal validation set, and external validation set were all greater than 0.7 and higher than those of TNM staging alone. Calibration curves indicated consistency between the predicted and actual outcomes. Decision curve analysis showed moderate net benefit. The NRI and IDI values of the nomogram were greater than 0 in the training, internal validation, and external validation sets. Risk stratification based on the nomogram's risk score demonstrated significant differences in survival rates between the high-risk and low-risk groups. We developed and validated a nomogram for predicting overall survival (OS) in patients with Siewert type II AEG, which assists clinicians in accurately predicting mortality risk and recommending personalized treatment strategies.

From bimodal to unimodal: The transformed incidence of osteosarcoma in the United States

BackgroundOsteosarcoma is the most common primary bone malignancy. It has classically been described as having a bimodal incidence by age. We sought to identify whether the bimodal incidence distribution still exists for osteosarcoma using the SEER and NIS databases. MethodsIncidence rates of primary osteosarcoma between 2000–2021 were analyzed by age at diagnosis, year of occurrence, sex, and tumor site from the SEER Research Data, 17 Registries, Nov 2023 Sub (2000–2021). The incidence of cases in 35–64 year-olds and 65 and above was compared statistically to determine if there is an increased incidence in the later ages. Incidence of tumors of the long bones of the lower limbs from the NIS discharge database 2012–2019 was also analyzed for comparison. ResultsOverall, 5,129 cases of osteosarcoma were reported in the SEER database. Across the 22 calendar year span, a consistent first peak appeared in the second decade of life. There was no consistent second peak in the 35+ age group. There were 86,100 discharges with long bone tumors analyzed in the NIS data which exhibited nearly identical patterns. ConclusionsOur analysis shows that the incidence of osteosarcoma is no longer bimodally distributed but rather unimodally distributed.

Improved Survival in Contemporary Community-Based Patients With Metastatic Clear-Cell Renal Cell Carcinoma Undergoing Active Treatment.

We hypothesized that the evolving treatment paradigms recommended based on phase III trials may have translated into improved overall survival (OS) in contemporary community-based patients with clear-cell metastatic renal cell carcinoma (ccmRCC) undergoing active treatment. Within the SEER database, contemporary (2017-2020) and historical (2010-2016) patients with ccmRCC treated with either systemic therapy (ST), cytoreductive nephrectomy (CN), or both (ST+CN) were identified. Univariable and multivariable Cox-regression models were used. Overall, 993 (32%) contemporary versus 2,106 (68%) historical patients with ccmRCC were identified. Median OS was 41 months in contemporary versus 25 months in historical patients (Δ=16 months; P<.001). In multivariable Cox-regression analyses, contemporary membership was independently associated with lower overall mortality (hazard ratio [HR], 0.7; 95% CI, 0.6-0.8; P<.001). In patients treated with ST alone, median OS was 17 months in contemporary versus 10 months in historical patients (Δ=7 months; P<.001; multivariable HR, 0.7; P=.005). In patients treated with CN alone, median OS was not reached in contemporary versus 33 months in historical patients (Δ=not available; P<.001; multivariable HR, 0.7; P<.001). In patients treated with ST+CN, median OS was 38 months in contemporary versus 26 months in historical patients (Δ=12 months; P<.001; multivariable HR, 0.7; P=.003). Contemporary community-based patients with ccmRCC receiving active treatment clearly exhibited better survival than their historical counterparts, when examined as one group, as well as when examined as separate subgroups according to treatment type. Treatment advancements of phase III trials seem to be applied appropriately outside of centers of excellence.

Small bowel adenocarcinoma: A SEER database analysis.

e16383 Background: Small bowel malignancies (SBM) account for about 3% of all gastrointestinal malignancies. Small bowel adenocarcinoma (SBA) accounts for the majority of the SBM. SBA is associated with poor prognosis and treatment options are limited in patients with advanced cancer. We analyzed SEER data to study the factors that impacted survival in patients with SBA. Methods: We reviewed data on the SEER database (version Stat 8.4). We extracted data to include patients with adenocarcinoma with labeled primary site as small bowel diagnosed between 2000-2019. We excluded other histology. Variables included were age at diagnosis, race, gender, stage at diagnosis, and grade of malignancy. Chi-square test was used to analyze the association between each variable and survival. Results: We identified 3415 cases of SBA that met our inclusion criteria. The number of annual cases increased from 2000-2019. The mean age was 65.3 years (range 57-75 years). The Male to Female ratio was 11:9. 76% were white, 13.7% were black, 13% were others. Duodenum was the most common primary site with 58%, jejunum at 15.5%, ileum at 13%, and 13.5% overlapped sites or unknown. SEER combined summary stage at diagnosis was 32% regional, 18% localized, 29% distant, and 23% unknown. 6% was grade I, 37% grade II, 27% grade III, 1% grade IV, and 28% unknown. Median survival in patients with SBA was 13 months. The median survival for patients less than or equal to 60 years was 24 months compared to 11 months in patients over 60 years of age (p &lt; 0.0001). Median survival in males was 13 months vs 12 months in females, (p = 0.548). There was no significant difference in survival per race (p = 0.5849). In this cohort, jejunal adenocarcinoma had better outcomes with a survival of 27 months (p &lt; 0.0001). Grade I and II were associated with better outcomes with survival of 21.5 months and 24 months (p &lt; 0.0001). Multivariate analysis showed that age less than 60, early-stage disease, jejunal primary site, and low-grade disease were associated with a better outcome. Conclusions: The number of cases of SBA in the SEER database has increased over the last few decades. SBA is associated with poor outcomes and our analysis shows that patients with early-stage disease, and younger age have better outcomes. Management of SBA is based on retrospective data and data extrapolated from management of colon adenocarcinoma, due to sparsity of prospective data. Clinical trials are needed to identify appropriate therapeutic options for the management of SBA.

Comparison of 5-year survival rate and analysis of prognostic factors influencing the prognosis of adenoid cystic carcinoma and squamous cell carcinoma of the maxillary sinus: based on the SEER database

Objective:To analyze the difference in 5-year survival between maxillary sinus adenoidal cystic carcinoma（maxillary sinus adenoid cystic carcinoma, MSACC） and squamous cell carcinoma（maxillary sinus squamous cell carcinoma, MSSCC） using the National Cancer Institute's Surveillance, Epidemiology, and End. Results:database（SEER） and to explore the factors associated with the prognosis of the two tumors. Methods:The data of 161 patients with MSACC and 929 patients with MSSCC were collected from SEER database, and the 5-year overall survival rate（OS） and tumor specific survival rate（CSS） were compared between the two groups before and after propensity score matching. The forest map of multivariate Cox proportional hazard regression model was established to analyze the prognostic factors affecting the survival rate of patients with MSACC and MSSCC. Results:There were statistical differences in 5-year OS and CSS between MSACC and MSSCC before and after propensity score matching（P<0.001）. Multivariate regression analysis showed that age, side of the disease, lymph node metastasis, operation and radiotherapy were the influencing factors of OS in MSACC, while age and operation were the influencing factors of CSS. Age, race, T grade, lymph node metastasis, systemic metastasis, surgery, radiotherapy and chemotherapy are the influencing factors of OS of MSSCC. Age, T grade, lymph node metastasis, systemic metastasis, surgery, radiotherapy and chemotherapy are the influencing factors of CSS. Conclusion:The 5-year survival rate of MSACC is higher than that of MSSCC. Surgery plays a positive role in the prognosis of the two kinds of tumors. The analysis results can provide some reference for their survival expectations and treatment choices.

467P Novel staging schemes for Siewert type II esophagogastric junction adenocarcinoma: A real-world data cohort study from SEER database

467P Novel staging schemes for Siewert type II esophagogastric junction adenocarcinoma: A real-world data cohort study from SEER database

222P Treatment modalities in pancreatic neuroendocrine tumors: A survival analysis from SEER database

222P Treatment modalities in pancreatic neuroendocrine tumors: A survival analysis from SEER database

Beyond the initial diagnosis: Epidemiological factors associated with second primary cancers among patients with head and neck squamous cell carcinoma (a SEER-based study).

6081 Background: Patients with Head and Neck cancer squamous cell carcinoma (HNSSC) have an increased risk of developing a Second Primary Cancer (SPC). We evaluated the epidemiological factors associated with SPC among patients with Stage 1-4 HNSCC using the SEER database from 2004-2020. Methods: Stage 1-4 HNSSC cases from 2004-2020, with a minimum of six months of follow-up, were identified using SEER.Stat 8.4.2 using ICD-10 CM codes. Adjusted odd’s ratios (aOR) for developing SPC (dependent variable) and the independent variables (sex, age, race and ethnicity, site of primary cancer, and marital status) were generated using multivariate logistic regression. All the analyses were performed on SAS OnDemand. Results: 127,919 cases of HNSCC were identified from 2004-2020. Oral cavity cancer accounted for 41.2% of the cases. 18,192 (14.2%) patients developed SPC. Patients with primary hypopharynx, laryngeal, and oral cavity cancer had the highest odds of developing SPC (p&lt; 0.0001). The most prevalent sites for developing SPC were the lung (25.0%), head and neck (24.1%), and prostate (10.6 %). Males had significantly higher odds of developing SPC than females (aOR - 1.11 (1.07, 1.5)). When compared to the NH-white population, Hispanics and NH-Asian had significantly lower odds of developing SPC (aOR - 0.72 (0.68, 0.77) and 0.72 (0.68, 0.78) respectively), while NH-Blacks had higher odds of developing SPC (aOR - 1.1(1.01,1.23)). Conclusions: Our study emphasizes the substantial risk of SPC in HNSCC patients, with oral cavity cancer as the predominant primary cancer subtype. Specific HNSCC sites show elevated SPC odds, mainly primary hypopharyngeal cancer, emphasizing the need for targeted surveillance. Demographic variations reveal gender and racial disparities in SPC susceptibility, advocating for tailored monitoring and preventive strategies in high-risk subpopulations to enhance overall cancer care and survivorship. [Table: see text]

Survival analysis and associated factors in metastatic early-onset colorectal cancer vs. metastatic average-onset colorectal cancer.

e15549 Background: Early-onset colorectal cancer (EO-CRC) is defined as colorectal cancer diagnosed before age 50 and its incidence has been increasing during the last decade. Average-onset colorectal cancer (AO-CRC) has presented a steady decline in incidence and related mortality over the past 20 years. There is controversy surrounding the disparities in outcomes and overall survival (OS) in EO-CRC vs. AO-CRC. Our study compared the OS and cause-specific survival (CSS) between metastatic EO-CRC (mEO-CRC) and metastatic AO-CRC (mAO-CRC) and identified associated factors. Methods: Data on patient characteristics, tumor characteristics, incidence and mortality were obtained from the SEER database from 2010 to 2020. We identified 23,278 individuals aged &gt; 18 with confirmed diagnosis of all histologic subtypes of metastatic CRC (M1 on TNM stage) using ICD-O-3 site code C180, C182-9, C209 and histology codes: 8000, 8010, 8012, 8013, 8020-2, 8031-33, 8041, 8045, 8070-2, 8083, 8123-4, 8140, 8144-45, 8201, 8210-11, 8213, 8220-1, 8240, 8243-46, 8249, 8253, 8255, 8260-3, 8261-3, 8265, 8310, 8323, 8480-1, 8490, 8507, 8510, 8550, 8560, 8570, 8574, 8936, 8980. OS distributions and CCS were conducted using the Kaplan-Meier method and log-rank test was used to assess differences between mEO-CRC and mAO-CRC. Cox regression model used to assess associations between variables. Results: mEO-CRC constituted 17.79% of the cases, while 82.21% were mAO-CRC. Most patients with mEO-CRC were between 45-49 years old (47.66%), males (52.16%), white (72.57%), with histology of adenocarcinoma (87.30%). Left colon tumors were most prevalent in both groups (40.26%), but higher among mEO-CRC than in mAO-CRC (49.63% vs 38.23%, p &lt; 0.001). mEO-CRC were more likely to receive chemotherapy (87.23% vs. 66.66%, p &lt; 0.001) and radiotherapy (14.92% vs. 9.51%, p &lt; 0.001), while surgery was similar in both groups (87.71% vs. 88.52%, p = 0.140). Patients with mEO-CRC had a higher OS (HR: 1.53, CI 95% 1.47-1.59, p &lt; 0.001), as well as a higher CSS (HR: 1.33, 95% CI: 1.27-1.39, p &lt; 0.001) when compared to mAO-CRC. mEO-CRC also had a significantly better median overall survival (30 months vs. 18 months p &lt; 0.001). Factors associated with worse OS include mAO-CRC (p &lt; 0.001), mucinous adenocarcinoma (p &lt; 0.001), male sex (p 0.003) and no surgical intervention (p &lt; 0.001). Conclusions: Patients with mEO-CRC had better OS and CSS when compared to patients with mAO-CRC and were more likely to receive cancer-directed therapy which could be explained by the mEO-CRC cohort having a higher performance status, less comorbidities, and better tolerance to cancer-related therapy. Factors associated with worse OS and CSS are mAO-CRC, mucinous adenocarcinoma, male sex and lack of surgical intervention. Furthermore, it is crucial to continue studying potential candidates who would benefit from early CRC screening.

Exploring the prognostic impact of differences in treatment strategies for SCLC with different histologies and prognostic factors for C-SCLC: A SEER population-based study

BackgroundCombined small cell lung cancer (C-SCLC) is a rare type of small cell lung cancer (SCLC), and it is controversial whether to choose the same treatment regimen as SCLC due to its multiple histologic components. Study methods and resultsRecords of patients with small cell lung cancer diagnosed between 2010 and 2020 were extracted using the SEER database. The OS of patients with different histological types under the same staging and treatment regimen was analyzed. It was found that early-stage (stage IA-IIA) surgical treatment, systemic chemotherapy alone, and chemoradiotherapy were more efficacious than C-SCLC and P-SCLC in patients with limited-stage (P = 0.054, P = 0.001, P = 0.019). In patients with extensive staging, the OS of patients with systemic chemotherapy regimens differed (P = 0.045) and was better in C-SCLC than in P-SCLC. We further explored the treatment strategy for patients with C-SCLC, which was shown by a COX regression model based on prognostic factors screened by Random Forest and LASSO regression models. Surgery, radiotherapy, and chemotherapy would be beneficial for survival. In a subgroup analysis based on stage and treatment regimen, it was shown that patients with early staging (stage IA-IIA) had a better prognosis with surgery (P < 0.001); in patients with extensive staging, chemoradiotherapy was favorable to the patient's prognosis (P = 0.022). ConclusionBoth limited-stage and extensive-stage C-SCLC patients are more sensitive to chemotherapy than P-SCLC patients. Patients with C-SCLC who have access to surgery should undergo surgery as early as possible, while chemoradiotherapy is recommended for patients with extensive staging. Patient age, gender, tumor size, surgery, chemotherapy, radiotherapy, and metastasis may individually affect patient prognosis.

Sex and racial disparities in incidence and survival outcomes in adolescents and young adults (AYA) with lung cancer in the United States.

8033 Background: Limited data exists on the impact of race on the incidence and survival of lung cancer among adolescents and young adults (15 – 39 years). We examined the Surveillance, Epidemiology, and End Results Plus Data (SEER) to determine the association of race, sex and other demographic/clinicopathologic factors with incidence trends and survival in AYA. Methods: Lung cancer cases in AYA diagnosed between 2000 and 2020 were extracted from the SEER database. Age-standardized incidence rates per 100,000 persons were obtained, and the annual percentage change (APC) was used to compare incidence trends stratified by various demographics. Relative survival was calculated with the SEER Stat software. Multivariate regression analyses were performed to determine association with mortality. Results: We identified 5129 cases of lung cancer among AYA of which 50.9% (n=2610) were female, 56.6% (n=2904) were Non-Hispanic Whites (NHW), 17% (n=872) were Hispanics, 13.3% (n=684) were Non-Hispanic Blacks (NHBs), 12.5% (n=643) were Non-Hispanic Asian or Pacific Islander (NHAPI) and 0.5% (n=26) were Non-Hispanic American Indian/Alaska Native (NHAIA). Overall age-adjusted incidence rates (AAIR) of lung cancer among AYA decreased (APC, -2.01 [- 2.72 to -1.34)], slightly more in females (APC -2.05 [-2.93 to -1.26)] compared to males (APC, -2.01 [-2.74 to -1.34)]. The greatest decrease was seen in NHWs -2.4 [-3.1 to -1.8)]. There was no significant change in the AAIR among NHBs and Hispanics. NHBs showed the lowest 5-year survival rate (RSR-5: 58.8 [57.3-60.1]) with NHWs showing the highest survival (RSR-5: 77.8 [77.4-78.3]). On multivariable analysis, race was an independent predictor of mortality: Hispanics (HR: 0.78: 95% CI = 0.69 - 0.88) and NHAPI (HR: 0.79: 95% CI = 0.68 - 0.87) compared to NHW, had reduced odds of mortality. There was no association between sex and mortality. Conclusions: There is an overall decline in age-adjusted incidence rates of lung cancer, with more pronounced decline in females and specific racial groups. NHBs exhibited the lowest 5-year survival rate. Additionally, various socioeconomic and histologic factors demonstrated varying impacts on mortality. [Table: see text]

148P Causes of death in colorectal cancer: Racial and gender disparities in elderly from SEER database (2000-2020)

148P Causes of death in colorectal cancer: Racial and gender disparities in elderly from SEER database (2000-2020)

Unveiling inequities in representation: Racial disparities in supportive care breast cancer clinical trial enrollment.

1605 Background: Supportive care is an integral part of breast cancer survivorship care. However, not much is known if there is adequate representation of racial minorities in supportive care breast cancer (BC) clinical trials (CTs). Methods: We conducted a systematic review of supportive care CTs for patients with BC using Covidence. A search of clinicaltrials.gov identified 2695 CTs, of which 173 met inclusion criteria. The SEER database was used as a racial distribution data reference for patients with BC. One-sample proportion tests were performed to assess adequacy in racial representation among supportive care CTs and by intervention type. Results: Of 173 supportive care CTs, 133 (77%) trials reported race-specific data. Characteristics of supportive care CTs based on intervention type and race are shown (Table). Although no statistically significant differences in frequencies of Black participants in supportive BC CTs overall were observed compared to the US population (11% vs 12%, p= 0.40), they were underrepresented in symptom management CTs specifically (8% vs 12%, p= 0.004). When stratified based on diet/physical activity CTs, Black participants were overrepresented in the study population (18% vs 11%, p= &lt;0.001). Asian participants were underrepresented in the overall study population compared to the US population (5% vs 7%, p= 0.01). However, within psycho-oncology CTs, there was an overrepresentation of Asian participants in the study population (21% vs 7%, p = &lt;0.001). No significant differences in enrollment frequencies of Black and Asian participants were found in cognitive health, complementary and alternative medicine, education/communication, and sexual health interventional CTs. Conclusions: Our findings highlight inadequate representation of Asian participants in supportive care BC CTs and Black participants in symptom management CTs. This study is limited in that ethnicity was not included in this analysis. Strategies are needed to promote recruitment of diverse individuals in these settings so that we can more accurately generalize findings from supportive care BC CTs. [Table: see text]

The utility of multiple clinical variables in predicting survival outcome for patients with rectal cancer: An integrated regression and retrospective cohort analysis.

e15610 Background: Prior studies have investigated clinical factors impacting the survival rates of rectal cancer patients. However, a robust and precise model for discerning these risks, which can be identified by integrated regressions analysis has yet to be established. The aim of this study is to develop and evaluate the diagnostic value of the constructed prediction model based on selected clinical variables. Methods: Patients diagnosed with stage II-III rectal cancer (April 2015-June 2021) were retrospectively enrolled as the primary cohort. Individual variables were extracted and then subjected to a K-adaptive partitioning algorithm for cut-off point determination and grouping. The Cox and least absolute shrinkage and selection operator regression (LASSO) regression were applied for independent predictors selection over significant overall survival (OS), and a nomogram was subsequently constructed. The performance of the constructed model was evaluated using the receiver operating characteristics (ROC) curves, calibration curves, and decision curve analysis (DCA), and stepwise compared with data cohorts derived from TCGA and SEER databases. Results: The Cox-LASSO analysis results considered the four independent variables as significant predictors, yielding the risk score equation: 1.086(for CEA level≥7.5 ng/ml) -1.7756(if gender is male) +1.829*(pT stages) +0.582*(pN stages). Notably, the distal resection margin (DRM) was excluded from the final model following the analysis (p = 0.060, 95%CI: -0.04-2.17). The constructed model (C-index:0.790, 95%CI: 0.673-0.743, AUC:0.873) outperformed the conventional TNM staging models (C-index:0.539, 95%CI:0.121-0.957, AUC:0.735). It stratified patients into low- or high-risk groups with significant OS differences (93% vs. 37%, p≤0.0001, respectively). The calibration curves for OS probability showed strong homogeneities between predictions and actual observations. DCA revealed positive net benefits at evaluated first, third, and fifth years. Moreover, the external validations confirmed the accurate prediction following the constructed model, with AUC of 0.745 and 0.705 for the TCGA and SEER datasets, respectively. Conclusions: This study resulted in a novel and effective prediction model for rectal cancer patients based on conventional clinical characteristics. It demonstrated solid performance and can serve as a convenient tool for OS prediction, aiding in rectal cancer patients' risk scoring and clinical decision-making.

Racial disparities in presentation and survival for lobular breast cancer.

1596 Background: We characterized differences in presentation and survival, and identified predictors of survival, among women of varying race with lobular breast cancer. We also assessed if these trends were unique to ILC by comparing with invasive ductal carcinoma (IDC) and mixed invasive ductal-lobular carcinoma (IDLC). Methods: Using the SEER database, we performed a population-based retrospective cohort study of women diagnosed with ILC, IDC, and IDLC between 1998 and 2019. We collected race, age, marital status, and income. Clinical data included grade, size, laterality, clinical stage, receptor status, surgery type, chemotherapy, radiation, and breast-cancer-specific survival (BCSS). Differences between racial groups were assessed using Chi-square tests or one-way ANOVA. To identify predictors of survival, Cox-proportional hazard models were constructed. Statistical analyses were performed using SAS and P values &lt; 0.05 were considered significant. Results: 38,769 women with ILC were identified, including 32,857 White, 2398 Black, 2352 Asian, and 1162 women of other race. Black women presented with higher-grade, advanced clinical stage, ER+ disease, N2-3 stage, and lower rates of unilateral/bilateral mastectomy than White women. Black women were more likely to not undergo surgery (7.13%), compared with White (4.25%) and Asian (4.04%) women ( P = .0001). Asian women were younger, had more ER-/PR- ILC, and received more chemotherapy. The five-year BCSS rates in Black, White, Asian, and women of other race were 91.5%, 94.2%, 93.7%, and 95.7%, respectively ( P&lt; .0001). Predictors of worse survival include Black race (HR 1.32, P &lt; .0001), ER-/PR- (HR 2.18, P&lt; .0001), ER+/PR- (HR 1.52, P&lt; .0001), and no surgery (HR 4.19, P &lt; .0001). Radiotherapy was associated with improved survival (HR 0.82, P &lt; .0001), while chemotherapy did not affect survival (HR 1.1, P= 0.0504). In comparing across breast cancer subtypes, Black women similarly present with higher grade tumors, advanced clinical stage, ER+ disease, and had higher rates of surgery omission in IDC and IDLC. However, ER-/PR- subtype was notably higher in ILC among Asian women compared with IDC, whereas Black women have higher rates of ER+/PR+ and ER-/PR- ILC. Black women had the lowest five-year BCSS rates across all breast cancer subtypes. Predictors of worse survival in IDC and IDLC include Black race and negative hormone receptor status, while radiation therapy was associated with improved survival. Conclusions: There are differences in clinical presentation of invasive lobular breast cancer according to race.Black women had more advanced disease, while Asian women were younger. Across all subtypes, overall survival for Black women at 5 years was worse compared to other racial groups. Our data provides insight into the complex interactions of race, clinical characteristics, and survival outcomes in lobular breast cancer, with implications for screening considerations.