The changing landscape of small cell lung cancer.

BACKGROUND: Small-cell lung cancer (SCLC) is characterized by rapid proliferation and early dissemination. The objective of this study was to examine the demographic trends and outcomes in SCLC. METHODS: The authors queried the National Cancer Institute's Surveillance, Epidemiology, and End Results database to assess the trends in incidence, demographics, staging, and survival for SCLC from 1975 to 2019. Trends were determined using joinpoint analysis according to the year of diagnosis. RESULTS: Among the 530,198 patients with lung cancer, there were 73,362 (13.8%) with SCLC. The incidence per 100,000 population peaked at 15.3 in 1986 followed by a decline to 6.5 in 2019. The percentage of SCLC among all lung tumors increased from 13.3% in 1975 to a peak of 17.5% in 1986, declining to 11.1% by 2019. There was an increased median age at diagnosis from 63 to 69 years and an increased percentage of women from 31.4% to 51.2%. The percentage of stage IV increased from 58.6% in 1988 to 70.8% in 2010, without further increase. The most common sites of metastasis at diagnosis were mediastinal lymph nodes (75.3%) liver (31.6%), bone (23.7%), and brain (16.4%). The 1-year and 5-year overall survival rate increased from 23% and 3.6%, respectively, in 1975-1979 to 30.8% and 6.8%, respectively, in 2010-2019. CONCLUSIONS: The incidence of SCLC peaked in 1988 followed by a gradual decline. Other notable changes include increased median age at diagnosis, the percentage of women, and the percentage of stage IV at diagnosis. The improvement in 5-year overall survival has been statistically significant but clinically modest.

Survival difference between secondary and de novo acute myeloid leukemia by age, antecedent cancer types, and chemotherapy receipt.

BACKGROUND: This study compared the survival of persons with secondary acute myeloid leukemia (sAML) to those with de novo AML (dnAML) by age at AML diagnosis, chemotherapy receipt, and cancer type preceding sAML diagnosis. METHODS: Data from Surveillance, Epidemiology, and End Results 17 Registries were used, which included 47,704 individuals diagnosed with AML between 2001 and 2018. Multivariable Cox proportional hazards regression was used to compare AML-specific survival between sAML and dnAML. Trends in 5-year age-standardized relative survival were examined via the Joinpoint survival model. RESULTS: Overall, individuals with sAML had an 8% higher risk of dying from AML (hazard ratio [HR], 1.08; 95% confidence interval [CI], 1.05-1.11) compared to those with dnAML. Disparities widened with younger age at diagnosis, particularly in those who received chemotherapy for AML (HR, 1.14; 95% CI, 1.10-1.19). In persons aged 20-64 years and who received chemotherapy, HRs were greatest for those with antecedent myelodysplastic syndrome (HR, 2.04; 95% CI, 1.83-2.28), ovarian cancer (HR, 1.91; 95% CI, 1.19-3.08), head and neck cancer (HR, 1.55; 95% CI, 1.02-2.36), leukemia (HR, 1.45; 95% CI, 1.12-1.89), and non-Hodgkin lymphoma (HR, 1.42; 95% CI, 1.20-1.69). Among those aged ≥65 years and who received chemotherapy, HRs were highest for those with antecedent cervical cancer (HR, 2.42; 95% CI, 1.15-5.10) and myelodysplastic syndrome (HR, 1.28; 95% CI, 1.19-1.38). The 5-year relative survival improved 0.3% per year for sAML slower than 0.86% per year for dnAML. Consequently, the survival gap widened from 7.2% (95% CI, 5.4%-9.0%) during the period 2001-2003 to 14.3% (95% CI, 12.8%-15.8%) during the period 2012-2014. CONCLUSIONS: Significant survival disparities exist between sAML and dnAML on the basis of age at diagnosis, chemotherapy receipt, and antecedent cancer, which highlights opportunities to improve outcomes among those diagnosed with sAML.

Survival outcomes of neoadjuvant versus adjuvant therapy in patients with T1c, node-negative, human epidermal growth factor receptor 2-positive breast cancer: A Surveillance, Epidemiology, and End Results population-based study.

BACKGROUND: Persistent debates exist regarding the superiority of neoadjuvant therapy (NAT) over adjuvant therapy (AT) for patients with T1c, node-negative, human epidermal growth factor receptor 2-positive (HER2+) breast cancer, and relevant guidelines for these patients are lacking. METHODS: Data on patients with T1cN0M0-stage HER2+ breast cancer who received chemotherapy and surgery were extracted from 2010 to 2020 from the Surveillance, Epidemiology, and End Results database. Propensity score matching (PSM) was used to create well-balanced cohorts for the NAT and AT groups. Kaplan-Meier (KM) analysis and Cox proportional hazards models were used to assess the differences between NAT and AT in terms of overall survival (OS) and breast cancer-specific survival (BCSS). Additionally, logistic regression models were used to explore factors associated with response to NAT. RESULTS: After PSM, 2140 patient pairs were successfully matched, which achieved a balanced distribution between the NAT and AT groups. KM curves revealed similar OS and BCSS between patients receiving NAT and those undergoing AT. A multivariate Cox model identified achieving pathological complete response (pCR) after NAT, compared with AT, as a protective prognostic factor for OS (hazard ratio, 0.52; 95% CI, 0.35-0.77; p < .001) and BCSS (hazard ratio, 0.60; 95% CI, 0.37-0.98; p = .041). A logistic regression model revealed that White race and hormone receptor-negative status independently predicted pCR. CONCLUSIONS: For patients with T1cN0M0-stage HER2+ breast cancer, NAT demonstrated comparable OS and BCSS to AT. Patients who achieved pCR after NAT exhibited significantly better survival outcomes compared with those who received AT.

Cost-of-care discussions for individuals with advanced non-small cell lung cancer and melanoma: Findings from a large, population-based pilot study.

BACKGROUND: Costs of cancer care can result in patient financial hardship; many professional organizations recommend provider discussions about treatment costs as part of high-quality care. In this pilot study, the authors examined patient-provider cost discussions documented in the medical records of individuals who were diagnosed with advanced non-small cell lung cancer (NSCLC) and melanoma-cancers with recently approved, high-cost treatment options. METHODS: Individuals who were newly diagnosed in 2017-2018 with stage III/IV NSCLC (n = 1767) and in 2018 with stage III/IV melanoma (n = 689) from 12 Surveillance, Epidemiology, and End Results regions were randomly selected for the National Cancer Institute Patterns of Care Study. Documentation of cost discussions was abstracted from the medical record. The authors examined patient, treatment, and hospital factors associated with cost discussions in multivariable logistic regression analyses. RESULTS: Cost discussions were documented in the medical records of 20.3% of patients with NSCLC and in 24.0% of those with melanoma. In adjusted analyses, privately insured (vs. publicly insured) patients were less likely to have documented cost discussions (odds ratio [OR], 0.54; 95% confidence interval [CI], 0.37-0.80). Patients who did not receive systemic therapy or did not receive any cancer-directed treatment were less likely to have documented cost discussions than those who did receive systemic therapy (OR, 0.39 [95% CI, 0.19-0.81] and 0.46 [95% CI, 0.30-0.70], respectively), as were patients who were treated at hospitals without residency programs (OR, 0.64; 95% CI, 0.42-0.98). CONCLUSIONS: Cost discussions were infrequently documented in the medical records of patients who were diagnosed with advanced NSCLC and melanoma, which may hinder identifying patient needs and tracking outcomes of associated referrals. Efforts to increase cost-of-care discussions and relevant referrals, as well as their documentation, are warranted.

Impact of lymph node retrieval on prognosis in elderly and non-elderly patients with T3-4/N+ rectal cancer following neoadjuvant therapy: a retrospective cohort study.

PURPOSE: The optimal number of lymph nodes to be resected in patients with rectal cancer who undergo radical surgery after neoadjuvant therapy remains controversial. This study evaluated the prognostic variances between elderly and non-elderly patients and determined the ideal number of lymph nodes to be removed in these patients. METHODS: The Surveillance, Epidemiology, and End Results (SEER) datasets were used to gather information on 7894 patients diagnosed with stage T3-4/N+ rectal cancer who underwent neoadjuvant therapy from 2010 to 2019. Of these patients, 2787 were elderly and 5107 were non-elderly. A total of 152 patients from the Longyan First Affiliated Hospital of Fujian Medical University were used for external validation. Overall survival (OS) and cancer-specific survival (CSS) were evaluated to determine the optimal quantity of lymph nodes for surgical resection. RESULTS: The study found significant differences in OS and CSS between elderly and non-elderly patients, both before and after adjustment for confounders (P < 0.001). The removal of 14 lymph nodes may be considered a benchmark for patients with stage T3-4/N+ rectal cancer who undergo radical surgery following neoadjuvant therapy, as this number provides a more accurate foundation for the personalized treatment of rectal cancer. External data validated the differences in OS and CSS and supported the 14 lymph nodes as a new benchmark in these patients. CONCLUSION: For patients with T3-4/N+ stage rectal cancer who undergo radical surgery following neoadjuvant therapy, the removal of 14 lymph nodes serves as a cutoff point that distinctly separates patients with a favorable prognosis from those with an unfavorable one.

Development and validation of a nomogram for predicting overall survival in patients with early-onset endometrial cancer.

BACKGROUND: This study aimed to investigate the differences in the clinicopathological characteristics of younger and older patients with endometrial cancer (EC) and develop a nomogram to assess the prognosis of early onset EC in terms of overall survival. METHODS: Patients diagnosed with EC from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015 were selected. Clinicopathological characteristics were compared between younger and older patients, and survival analysis was performed for both groups. Prognostic factors affecting overall survival in young patients with EC were identified using Cox regression. A nomogram was created and internal validation was performed using the consistency index, decision curve analysis, receiver operating characteristic curves, and calibration curves. External validation used data from 70 patients with early onset EC. Finally, Kaplan-Meier curves were plotted to compare survival outcomes across the risk subgroups. RESULTS: A total of 1042 young patients and 12,991 older patients were included in this study. Younger patients were divided into training (732) and validation (310) cohorts in a 7:3 ratio. Cox regression analysis identified age, tumorsize, grade, FIGO stage(International Federation of Gynecology and Obstetrics) and surgery as independent risk factors for overall survival, and a nomogram was constructed based on these factors. Internal and external validations demonstrated the good predictive power of the nomogram. In particular, the C-index for the overall survival nomogram was 0.832 [95% confidence interval (0.797-0.844)] in the training cohort and 0.839 (0.810-0.868) in the internal validation cohort. The differences in the Kaplan-Meier curves between the different risk subgroups were statistically significant. CONCLUSIONS: In this study, a nomogram for predicting overall survival of patients with early onset endometrial cancer based on the SEER database was developed to help assess the prognosis of patients and guide clinical treatment.

Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study.

BACKGROUND: Pancreatic neuroendocrine tumors (PNETs) are one of the most common endocrine tumors, and liver metastasis (LMs) are the most common location of metastasis from PNETS; However, there is no valid nomogram to predict the diagnosis and prognosis of liver metastasis (LMs) from PNETs. Therefore, we aimed to develop a valid predictive model to aid physicians in making better clinical decisions. METHODS: We screened patients in the Surveillance, Epidemiology, and End Results (SEER) database from 2010-2016. Feature selection was performed by machine learning algorithms and then models were constructed. Two nomograms were constructed based on the feature selection algorithm to predict the prognosis and risk of LMs from PNETs. We then used the area under the curve (AUC), receiver operating characteristic (ROC) curve, calibration plot and consistency index (C-index) to evaluate the discrimination and accuracy of the nomograms. Kaplan-Meier (K-M) survival curves and decision curve analysis (DCA) were also used further to validate the clinical efficacy of the nomograms. In the external validation set, the same validation is performed. RESULTS: Of the 1998 patients screened from the SEER database with a pathological diagnosis of PNET, 343 (17.2%) had LMs at the time of diagnosis. The independent risk factors for the occurrence of LMs in PNET patients included histological grade, N stage, surgery, chemotherapy, tumor size and bone metastasis. According to Cox regression analysis, we found that histological subtype, histological grade, surgery, age, and brain metastasis were independent prognostic factors for PNET patients with LMs. Based on these factors, the two nomograms demonstrated good performance in model evaluation. CONCLUSION: We developed two clinically significant predictive models to aid physicians in personalized clinical decision-makings.

Incidence and risk outcomes of second primary malignancy of patients with post-operative colorectal cancer.

BACKGROUND AND AIMS: This study aimed to investigate the incidence and the risk factors of incidence for second primary malignancies (SPMs) onset among survivors diagnosed with colorectal cancer (CRC). METHODS: A large population-based cohort study was performed. Data of patients diagnosed with CRC was identified and extracted from 8 cancer registries of Surveillance, Epidemiology, and End Results database from January 1990 to December 2017. The outcome of interest was percentage and common sites of SPM onset after primary CRC diagnosis. The cumulative incidence and standardize incidence rates (SIRs) were also reported. Afterwards, we estimated sub-distribution hazards ratios (SHRs) and relative risks (RRs) for SPM occurrence using multivariable competing-risk and Poisson regression models, respectively. RESULTS: A total of 152,402 patients with CRC were included to analyze. Overall, 23,816 patients of all CRC survivors (15.6%) were reported SPM occurrence. The highest proportion of SPMs development after primary CRC diagnosis was second CRC, followed by lung and bronchus cancer among all survivors. Also, CRC survivors were more susceptible to develop second gastrointestinal cancers (GICs). Besides, pelvic cancers were analyzed with a relative high proportion among patients who received RT in comparison to those without RT. The cumulative incidence of all SPMs onset was 22.16% (95% CI: 21.82-22.49%) after near 30-year follow-up. Several factors including older age, male, married status, and localized stage of CRC were related to the high risk of SPMs onset. In treatment-specific analyses, RT was related to a higher cumulative incidence of SPMs occurrence (all SPMs: 14.08% vs. 8.72%; GICs: 2.67% vs. 2.04%; CRC: 1.01% vs. 1.57%; all p < 0.01). Furthermore, the increased risk of SPMs onset was found among patients who received RT than patients within the NRT group (SHR: 1.50, 95% CI: 1.32-1.71), p < 0.01; RR: 1.61, 95% CI: 1.45-1.79, p < 0.01). CONCLUSION: The present study described the incidence pattern of SPM among CRC survivors and identified the risk factors of the SPM onset. RT treatment for patients diagnosed with CRC may increase the risk of SPMs occurrence. The findings suggest the need for long-term follow-up surveillance for these patients.

Elderly patients with acute myeloid leukemia who only receive supportive care in the Surveillance, Epidemiology and End Results-Medicare database: demographics, treatment patterns and outcomes.

Aim: Elderly acute myeloid leukemia (AML) patients are often not treated with antileukemic therapy due to their poor overall health condition, leaving supportive care as the sole treatment option. Objective: To evaluate patient characteristics, treatment patterns and outcomes of elderly patients with AML who are treated with supportive care only. Methods: A retrospective analysis of elderly AML patients included in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015. Results: Of elderly patients with AML (n = 7665), 3209 (41.9%) received supportive care only. Their mean age was 79 years, 50.5% were males; 48.2% died during the first 3 months and 67.3% died during the first 6 months. 82.2% died within the first year; only 13.2% survived >12 months. 77.9% patients died due to leukemia. Conclusion: In elderly AML patients treated with supportive care only, older age, concurrent hypertension, chronic obstructive pulmonary disease, chronic kidney disease and acute myocardial infarction were identified as prognostic factors associated with decreased likelihood of survival. Ideally, these patients should be treated with antileukemic therapy in addition to supportive care, as most of them die from disease progression.

This study analyzed data on elderly patients with acute myeloid leukemia (AML) who were only treated with supportive care. The source of this data was the Surveillance, Epidemiology and End Results (SEER)-Medicare database. Of the 7665 patients diagnosed with AML during 2008­2015, 3209 (41.9%) received supportive care only. Their mean age at index date was 79 years; slightly more than half of these were males (50.5%). Almost half of these patients (48.2%) died within the first 3 months and approximately two-thirds (67.3%) died within the first 6 months. Only a small proportion (13%) of these patients were alive after 1 year. These patients who were alive after one were likely to be in remission (there was decrease in the signs and symptoms of AML). The results of this study showed that elderly AML patients who only received supportive care were more likely to die early if they also had chronic kidney disease, chronic obstructive pulmonary disease, history of acute myocardial infarction or hypertension. As elderly AML patients may be in poor general health and have other diseases (comorbidities), this could be the reason why they may not be treated with antileukemic therapy. Instead of treatment with supportive care only, these patients should ideally receive antileukemic therapy in addition to supportive care. More research should be done to find alternate treatments for these elderly AML patients.

Causes of death after testicular cancer diagnosis: a US population-based analysis.

BACKGROUND: After the introduction of cisplatin-based chemotherapy, the survival time of testicular cancer (TC) patients has improved dramatically. However, the overall risk of death in patients with TC remains significantly higher than in the general population. The aim of this study was to assess and quantify the causes of death after TC diagnosis. METHOD: In total, 44,975 men with TC in the United States diagnosed and registered by the Surveillance, Epidemiology, and End Results (SEER) database during 2000 to 2018 were studied. In this study, standardized mortality rates (SMRs) were calculated for each cause of death in TC individuals and further analyzed in strata according to age and race. RESULT: Of the included participants, 3,573 (7.94%) died during the follow-up period. The greatest proportion of deaths (38.20%) occurred within 1 to 5 years after diagnosis. Most deaths occurred from TC itself and other cancers. For non-malignant conditions, the most common causes of death within 1 years after diagnosis were accidents and adverse effects (53, 4.75%) followed by diseases of heart (45, 4.04%). However, > 1 years after diagnosis, the most common noncancer causes of death were heart diseases. Results of stratified analysis show that non-Hispanic White TC participants have a lower SMR (0.68, 95% CI, 33.39-38.67) from Cerebrovascular Diseases than the general U.S. CONCLUSIONS: Although TC remains the most common cause of death after TC diagnosis, other non-TC causes of death represent a significant number of deaths among TC men. These findings help TC survivors understand the various health risks that may occur at different follow-up periods.

Chemotherapy for advanced pulmonary sarcomatoid carcinoma: a population-based propensity score matching study.

OBJECTIVES: Pulmonary sarcomatoid carcinoma (PSC) is a rare histological type of non-small cell lung cancer (NSCLC). There are no specific treatment guidelines for PSC. For advanced PSC (stage II-IV), the role of chemotherapy is still controversial. The purpose of this study was to investigate the effect of chemotherapy on the prognosis of advanced PSC. METHODS: A total of 960 patients with advanced PSC from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2019 were enrolled in this study. To investigate the prognostic factors, the Cox proportional hazard regression model was conducted. A total of 642 cases were obtained after propensity score matching (PSM). The Kaplan‒Meier method was applied to compare overall survival (OS) and cancer-specific survival (CSS). RESULTS: For all 960 cases included in this study, the Cox proportional hazard model was applied for prognostic analysis. Univariate and multivariate analyses showed that stage, T stage, N stage, M stage, surgery, and chemotherapy were prognostic factors for OS and CSS (P < 0.05). A total of 642 cases were obtained after PSM, with no significant difference between the two groups for all variables. Kaplan‒Meier curves indicated that for OS and CSS, the prognosis was significantly better in the chemotherapy group than in the no-chemotherapy group. CONCLUSIONS: For advanced PSC, chemotherapy can significantly improve the OS and CSS of patients. Chemotherapy should be an important part of PSC treatment.

The clinical significance for primary tumor surgery in metastatic head and neck adenoid cystic carcinoma.

PURPOSE: This study aimed to determine the prognostic significance and optimal candidates for primary tumor surgery (PTS) among patients with metastatic head and neck adenoid cystic carcinoma (HNACC). METHODS: The data were retrieved from Surveillance, Epidemiology, and End Results (SEER) database. Patients with metastatic HNACC at the initial diagnosis were included in this study. Univariate survival analysis was performed using the Kaplan-Meier method, and the difference in survival curves between PTS and non-PTS groups was estimated using the log-rank test. Multivariate analysis was performed to evaluate the independent prognostic factors associated with overall survival (OS) and cancer-specific survival (CSS). RESULTS: Overall, 155 patients were eligible, of whom 93 underwent palliative PTS. Patients with lung metastasis alone were more likely to undergo PTS. PTS was associated with significantly improved OS and CSS compared with non-PTS. In the multivariate model, patients who underwent PTS had better OS than those who did not undergo PTS; however, no improvement was observed in the CSS. Subgroup analyses further revealed that patients aged < 60 years with T3-4 or N0 classification might benefit from PTS. CONCLUSION: PTS significantly improved the OS of patients with metastatic HNACC. PTS had a favorable prognostic impact on highly selected patients, namely, those aged < 60 years with T3-4 and N0 classification, which could be adopted in future clinical practice.

Competing risk models versus traditional Cox models for prognostic factors' prediction and care recommendation in patients with advanced laryngeal squamous carcinoma: a population-based study.

PURPOSE: To explore the prognostic factors and the optimal treatment modalities for patients with stage IVA laryngeal squamous cell carcinoma (LSCC), so as to improve the survival rate of patients. METHODS: Patients with stage IVA LSCC between 2004 and 2019 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. We used competing risk models to build nomograms for predicting cancer-specific survival (CSS). The effectiveness of the model was assessed using the calibration curves and the concordance index (C-index). The above results were compared with the nomogram established by Cox regression analysis. The patients were grouped into low-risk and high-risk groups by competing risk nomogram formula. And the Kaplan-Meier (K-M) method and log-rank test were used to make sure that these groups had a survival difference. RESULTS: Overall, 3612 patients were included. Older age, black race, a higher N stage, a higher pathological grade, and a larger tumor size were independent risk factors for CSS; married marital status, total/radical laryngectomy, and radiotherapy were protective factors. The C-index was 0.663, 0.633, and 0.628 in the train set and 0.674, 0.639, and 0.629 in the test set of the competing risk model, and 0.672, 0.640, and 0.634 in the traditional Cox nomogram for 1, 3, and 5 years. In overall survival and CSS, the prognosis of the high-risk group was poorer than that of the low-risk group. CONCLUSION: For patients with stage IVA LSCC, a competing risk nomogram was created to help screen risk population and guide clinical decision-making.

Impact of including second and later cancers in cause-specific survival estimates using population-based registry data.

BACKGROUND: Second or later primary cancers account for approximately 20% of incident cases in the United States. Currently, cause-specific survival (CSS) analyses exclude these cancers because the cause of death (COD) classification algorithm was available only for first cancers. The authors added rules for later cancers to the Surveillance, Epidemiology, and End Results cause-specific death classification algorithm and evaluated CSS to include individuals with prior tumors. METHODS: The authors constructed 2 cohorts: 1) the first ever primary cohort, including patients whose first cancer was diagnosed during 2000 through 2016) and 2) the earliest matching primary cohort, including patients with any cancer who matched the selection criteria irrespective of whether it was the first or a later cancer diagnosed during 2000 through 2016. The cohorts' CSS estimates were compared using follow-up through December 31, 2017. The new rules were used in the second cohort for patients whose first cancers during 2000 through 2016 were their second or later cancers. RESULTS: Overall, there were no statistically significant differences in CSS estimates between the 2 cohorts. Estimates were similar by age, stage, race, and time since diagnosis, except for patients with leukemia and those aged 65 to 74 years (3.4 percentage point absolute difference). CONCLUSIONS: The absolute difference in CSS estimates for the first cancer ever cohort versus earliest of any cancers cohort in the study period was small for most cancer types. As the number of newly diagnosed patients with prior cancers increases, the algorithm will make CSS more inclusive and enable estimating survival for a group of patients with cancer for whom life tables are not available or life tables are available but do not capture other-cause mortality appropriately.

Evaluating anthracycline + taxane versus taxane-based chemotherapy in older women with node-negative triple-negative breast cancer: a SEER-Medicare study.

PURPOSE: Adjuvant chemotherapy reduces recurrence in early-stage triple-negative breast cancer (TNBC). However, data are lacking evaluating anthracycline + taxane (ATAX) versus taxane-based (TAX) chemotherapy in older women with node-negative TNBC, as they are often excluded from trials. The purpose of this study was to evaluate the effect of adjuvant ATAX versus TAX on cancer-specific (CSS) and overall survival (OS) in older patients with node-negative TNBC. PATIENTS AND METHODS: Using the SEER-Medicare database, we selected patients aged ≥ 66 years diagnosed with Stage T1-4N0M0 TNBC between 2010 and 2015 (N = 3348). Kaplan-Meier survival curves and adjusted Cox proportional hazards models were used to estimate 3-year OS and CSS. Multivariant Cox regression analysis was used to identify independent factors associated with use of ATAX compared to TAX. RESULTS: Approximately half (N = 1679) of patients identified received chemotherapy and of these, 58.6% (N = 984) received TAX, 25.0% (N = 420) received ATAX, and 16.4% (N = 275) received another regimen. Three-year CSS and OS was improved with any adjuvant chemotherapy from 88.9 to 92.2% (p = 0.0018) for CSS and 77.2% to 88.6% for OS (p < 0.0001). In contrast, treatment with ATAX compared to TAX was associated with inferior 3-year CSS and OS. Three-year CSS was 93.7% with TAX compared to 89.8% (p = 0.048) for ATAX and OS was 91.0% for TAX and 86.4% for ATAX (p = 0.032). CONCLUSION: While adjuvant chemotherapy was associated with improved clinical outcomes, the administration of ATAX compared to TAX was associated with inferior 3-year OS and CSS in older women with node-negative TNBC. The use of adjuvant ATAX should be considered carefully in this patient population.

Evaluation of log odds of positive lymph nodes in predicting the survival of patients with non-small cell lung cancer treated with neoadjuvant therapy and surgery: a SEER cohort-based study.

BACKGROUND: Log odds of positive lymph nodes (LODDS) is a novel lymph node (LN) descriptor that demonstrates promising prognostic value in many tumors. However, there is limited information regarding LODDS in patients with non-small cell lung cancer (NSCLC), especially those receiving neoadjuvant therapy followed by lung surgery. METHODS: A total of 2059 patients with NSCLC who received neoadjuvant therapy and surgery were identified from the Surveillance, Epidemiology, and End Results (SEER) database. We used the X-tile software to calculate the LODDS cutoff value. Kaplan-Meier survival analysis and receiver operating characteristic (ROC) curve analysis were performed to compare predictive values of the American Joint Committee on Cancer (AJCC) N staging descriptor and LODDS. Univariate and multivariate Cox regression and inverse probability of treatment weighting (IPTW) analyses were conducted to construct a model for predicting prognosis. RESULTS: According to the survival analysis, LODDS had better differentiating ability than the N staging descriptor (log-rank test, P < 0.0001 vs. P = 0.031). The ROC curve demonstrated that the AUC of LODDS was significantly higher than that of the N staging descriptor in the 1-, 3-, and 5-year survival analyses (all P < 0.05). Univariate and multivariate Cox regression analyses showed that LODDS was an independent risk factor for patients with NSCLC receiving neoadjuvant therapy followed by surgery both before and after IPTW (all P < 0.001). A clinicopathological model with LODDS, age, sex, T stage, and radiotherapy could better predict prognosis. CONCLUSIONS: Compared with the AJCC N staging descriptor, LODDS exhibited better predictive ability for patients with NSCLC receiving neoadjuvant therapy followed by surgery. A multivariate clinicopathological model with LODDS demonstrated a sound performance in predicting prognosis.

Understanding cervical cancer after the age of routine screening: Characteristics of cases, treatment, and survival in the United States.

OBJECTIVE: Given that cervical cancer incidence rates do not decline in women >65, there is generally limited screening, and these women have a poor prognosis, it is imperative to better understand this population. We aim to describe the characteristics, treatment, and survival of women >65 diagnosed with cervical cancer. METHODS: SEER-Medicare 2004-2013 data was used to describe 2274 patients >65 diagnosed with cervical cancer. Five-year cancer-specific survival was estimated using the Kaplan-Meier method. Multivariable Poisson and Cox regression analyses identified characteristics associated with treatment and mortality. RESULTS: The median age was 76.1 years, with nearly one-third of cases occurring in women >80 years. Most patients were non-Hispanic White (64.8%), had comorbidity scores ≥ 1 (53.9%) and squamous histology (66.3%). Most women were diagnosed at stage II or higher (62.7%), including nearly one-quarter at Stage IV (23.1%). Nearly 15% of patients were not treated (14.6%). Lack of treatment was associated with oldest age (>80), comorbidity scores ≥3, and stage IV disease. Five-year cancer-specific survival was 50%. Increasing age and stage at diagnosis were significantly associated with lower cancer-specific survival whereas treatment was strongly associated with increased survival. CONCLUSION: Most women >65 with cervical cancer are diagnosed with locally advanced or metastatic disease and many do not receive treatment. Survival is improved with early-stage diagnosis and treatment. These findings, coupled with the fact that women >65 constitute an increasing proportion of the population, highlight the need to re-evaluate screening and treatment practices in this population to detect cervical cancer at earlier stages and increase survival. NOVELTY AND IMPACT STATEMENT: In SEER-Medicare linked data from 2004 to 2013, most women >65 with cervical cancer were diagnosed with locally advanced or metastatic disease. Both receipt of treatment and survival decreased with increasing age. These findings, coupled with the fact that women aged >65 constitute an increasing proportion of the population, highlight the need to re-evaluate screening and treatment practices in older women to detect cervical cancer at earlier stages and increase survival.

Clinicopathological characteristics and prognostic factors of elderly small intestine adenocarcinoma using propensity score matching analysis: a study based on SEER database.

BACKGROUND: Small intestine adenocarcinoma (SIA) is a scant disease that has no adequate clinical trials, so its prognostic factors are still unclear, especially in elderly patients. In this article, we aimed to explore the clinicopathology presentation, treatments, outcomes, and predictors of small intestine adenocarcinoma patients aged 65 years or older. METHODS: We retrieved clinicopathology data of small intestine adenocarcinoma patients diagnosed between 2004 and 2015 from the Surveillance Epidemiology and End Results (SEER) database. We clarified patients into two groups: the surgery and the non-surgery group and conducted propensity score matching (PSM) to compare survival outcoming. We identified the prognostic indicators for cancer-specific survival (CSS) and overall survival (OS) by the Cox proportional hazards model. RESULTS: In total, 1018 eligible cases were enrolled, with a median survival of 16 months; the 3-year OS and CSS rates were 36% and 41.7%, and the 5-year OS and CSS rates were 26.5% and 33.3%. Multivariate analyses revealed that age, grade, tumor stage, surgery, and chemotherapy were independent prognostic factors for OS, while grade, tumor stage, surgery, radiation, and chemotherapy were independent factors for CSS. After PSM, only surgery and tumor stage (AJCC 6th) were independent prognostic factors for OS and CSS. CONCLUSION: Surgery could bring benefit to survival for elderly SIA patients, and the early stage of the disease was another significant prognostic factor.

An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction.

Although lung cancer survival status and survival length predictions have primarily been studied individually, a scheme that leverages both fields in an interpretable way for physicians remains elusive. We propose a two-phase data analytic framework that is capable of classifying survival status for 0.5-, 1-, 1.5-, 2-, 2.5-, and 3-year time-points (phase I) and predicting the number of survival months within 3 years (phase II) using recent Surveillance, Epidemiology, and End Results data from 2010 to 2017. In this study, we employ three analytical models (general linear model, extreme gradient boosting, and artificial neural networks), five data balancing techniques (synthetic minority oversampling technique (SMOTE), relocating safe level SMOTE, borderline SMOTE, adaptive synthetic sampling, and majority weighted minority oversampling technique), two feature selection methods (least absolute shrinkage and selection operator (LASSO) and random forest), and the one-hot encoding approach. By implementing a comprehensive data preparation phase, we demonstrate that a computationally efficient and interpretable method such as GLM performs comparably to more complex models. Moreover, we quantify the effects of individual features in phase I and II by exploiting GLM coefficients. To the best of our knowledge, this study is the first to (a) implement a comprehensive data processing approach to develop performant, computationally efficient, and interpretable methods in comparison to black-box models, (b) visualize top factors impacting survival odds by utilizing the change in odds ratio, and (c) comprehensively explore short-term lung cancer survival using a two-phase approach.

Patients with hepatocellular carcinoma from more rural and lower-income households have more advanced tumor stage at diagnosis and significantly higher mortality.

BACKGROUND: Patients from rural and low-income households may have suboptimal access to liver disease care, which may translate into worse HCC outcomes. The authors provide a comprehensive update of HCC incidence and outcomes among US adults, focusing on the effect of rural geography and household income on tumor stage and mortality. METHODS: The authors retrospectively evaluated adults with HCC using Surveillance, Epidemiology, and End Results data from 2004 to 2017. HCC incidence was reported per 100,000 persons and was compared using z-statistics. Tumor stage at diagnosis used the Surveillance, Epidemiology, and End Results staging system and was evaluated with multivariate logistic regression. HCC mortality was evaluated using Kaplan-Meier and multivariate Cox proportional hazards methods. RESULTS: HCC incidence plateaued for most groups, with the exception of American Indians/Alaska Natives (2004-2017: APC, 4.17%; P < .05) and patients in the lowest household income category (<$40,000; 2006-2017: APC, 2.80%; P < .05). Compared with patients who had HCC in large metropolitan areas with a population >1 million, patients in more rural regions had higher odds of advanced-stage HCC at diagnosis (odds ratio, 1.10; 95% CI, 1.00-1.20; P = .04) and higher mortality (hazard ratio, 1.05; 95% CI, 1.01-1.08; P = .02). Compared with the highest income group (≥$70,000), patients with HCC who earned <$40,000 annually had higher odds of advanced-stage HCC (odds ratio, 1.15; 95% CI, 1.01-1.32; P = .03) and higher mortality (hazard ratio, 1.23; 95% CI, 1.16-1.31; P < .001). CONCLUSIONS: Patients from rural regions and lower-income households had more advanced tumor stage at diagnosis and significantly higher HCC mortality. These disparities likely reflect suboptimal access to consistent high-quality liver disease care, including HCC surveillance.