The Surveillance, Epidemiology, and End Results (SEER) Program and Pathology: Toward Strengthening the Critical Relationship

Epidemiological characteristics and influencing factors of acute leukemia in children and adolescents and adults: a large population-based study

OBJECTIVE

To assess the epidemiological characteristics and prognostic factors of acute leukemia (AL) in children and adolescents, and make comparisons between pediatric and adult patients.

METHODS

This retrospective cohort study enrolled AL patients from the Surveillance, Epidemiology, and End Results (SEER) 1975-2016. OS in children and adolescents and adults with AL was compared and analyzed separately by age and AL subtype.

RESULTS

Totally 61,694 AL patients were identified, with 45,411 (73.6%) adults and 16,283 (26.4%) children and adolescents. From 2000 to 2016, the incidence rates of AL [annual percent changes (APC) = 1.2, 95%CI = 0.9-1.6, P < 0.05] and acute lymphoblastic leukemia (ALL) (APC = 1.5, 95%CI = 1.1-1.8, P < 0.05) in children and adolescents were significantly increasing. For adults, AL (APC = 0.9, 95%CI = 0.3-1.5, P < 0.05), ALL (APC = 2.5, 95%CI = 2.0-3.1, P < 0.05) and acute myeloid leukemia (AML) (APC = 0.9, 95%CI = 0.4-1.5, P < 0.05) had significantly elevated incidence rates. Overall survival (OS) in children and adolescents with AL was significantly higher than that in adults with AL (log-rank P < 0.0001). OS in children and adolescents and adults with ALL, AML and AUL decreased with age (all log-rank P < 0.0001). Older age, male sex and black race were risk factors for the survival of children and adolescents and adults with ALL, AML and AUL.

CONCLUSION

From 2000 to 2016, the incidence rates of AL in children and adolescents and adults were increasing. Children and adolescents with AL had significantly better OS than adults with AL, and OS declined with age in both children and adolescents and adults with ALL, AML and AUL.

Interaction between tumor stage and age on survival outcomes of patients with anaplastic thyroid cancer

BACKGROUND

Anaplastic thyroid cancer (ATC) is an aggressive, rare malignancy associated with rapid growth and metastasis, and a very poor prognosis. We investigated the clinical characteristics, survival outcomes and independent prognostic factors associated with anaplastic thyroid cancer.

AIM

To assess to what extent the interaction between age and tumor stage affects mortality.

METHODS

A total of 622 patients diagnosed with anaplastic thyroid cancer, between 2010 and 2017 were enrolled in our study by retrieving data from the Surveillance, Epidemiology and End Results (SEER) database. We analyzed demographics, clinical characteristics, overall mortality (OM) and cancer specific mortality (CSM) of ATC. Variables with a P value < 0.1 were incorporated into the multivariate cox model to determine the independent prognostic factors. Furthermore, we analyzed the interaction between age and tumor stage on mortality.

RESULTS

In the multivariate analyses, the divorced/separated population had a lower OM [hazard ratio (HR) = 0.63, 95%CI: 0.42-0.94, P < 0.05] and CSM (HR = 0.61, 95%CI: 0.40-0.92, P < 0.05). OM was higher in tumors with direct extension only (HR = 6.26, 95%CI: 1.29-30.42, P < 0.05) and tumors with distant spread (HR = 5.73, 95%CI: 1.34-24.51, P < 0.05). CSM was also higher in tumors with direct extension (HR = 5.05, 95%CI: 1.05-24.19, P < 0.05) and tumors with distant spread (HR = 4.57, 95%CI: 1.08-19.29, P < 0.05). Mortality was not adversely affected by lymph node involvement. OM was lower in patients who received radiation (HR = 0.66, 95%CI: 0.53-0.83, P < 0.01), chemotherapy (HR = 0.63, 95%CI: 0.50-0.79, P < 0.01) or surgery (HR = 0.53, 95%CI: 0.43-0.66, P < 0.01). CSM was also lower in patient who received radiation (HR = 0.64, 95%CI: 0.51-0.81, P < 0.01), chemotherapy (HR = 0.62, 95%CI: 0.50-0.78, P < 0.01) or surgery (HR = 0.51, 95%CI: 0.41-0.63, P < 0.01). There was no significant interaction between age and tumor stage that affected mortality.

CONCLUSION

In this large US SEER database retrospective study, we found the mortality to be higher in advanced stage tumors with direct extension and distant metastasis. However, patients who received aggressive therapy showed a better overall survival. The aim of our study is to emphasize the importance of detecting ATC at an early stage and provide aggressive therapy to these patients. Since advanced stage ATC is associated with a dismal prognosis, we emphasize the need for randomized control trials and development of novel therapies that will be used to treat ATC.

The National Cancer Database Conforms to the Standardized Framework for Registry and Data Quality

BACKGROUND

Standardization of procedures for data abstraction by cancer registries is fundamental for cancer surveillance, clinical and policy decision-making, hospital benchmarking, and research efforts. The objective of the current study was to evaluate adherence to the four components (completeness, comparability, timeliness, and validity) defined by Bray and Parkin that determine registries' ability to carry out these activities to the hospital-based National Cancer Database (NCDB).

METHODS

Tbis study used data from U.S. Cancer Statistics, the official federal cancer statistics and joint effort between the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), which includes data from National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology, and End Results (SEER) to evaluate NCDB completeness between 2016 and 2020. The study evaluated comparability of case identification and coding procedures. It used Commission on Cancer (CoC) standards from 2022 to assess timeliness and validity.

RESULTS

Completeness was demonstrated with a total of 6,828,507 cases identified within the NCDB, representing 73.7% of all cancer cases nationwide. Comparability was followed using standardized and international guidelines on coding and classification procedures. For timeliness, hospital compliance with timely data submission was 92.7%. Validity criteria for re-abstracting, recording, and reliability procedures across hospitals demonstrated 94.2% compliance. Additionally, data validity was shown by a 99.1% compliance with histologic verification standards, a 93.6% assessment of pathologic synoptic reporting, and a 99.1% internal consistency of staff credentials.

CONCLUSION

The NCDB is characterized by a high level of case completeness and comparability with uniform standards for data collection, and by hospitals with high compliance, timely data submission, and high rates of compliance with validity standards for registry and data quality evaluation.

Microvascular structural changes in esophageal squamous cell carcinoma pathology according to intrapapillary capillary loop types under magnifying endoscopy

BACKGROUND

The intrapapillary capillary loop (IPCL) characteristics, visualized using magnifying endoscopy, are commonly assessed for preoperative evaluation of the infiltration depth of esophageal squamous cell carcinoma (ESCC). Japan Esophageal Society (JES) classification is the most widely used classification. Microvascular structural changes are evaluated by magnifying endoscopy for the presence or absence of each morphological factor: tortuosity, dilatation, irregular caliber, and different shapes. However, the pathological characteristics of IPCLs have not been thoroughly investigated, especially the microvascular structures corresponding to the deepest parts of the lesions' infiltration.

AIM

To investigate differences in pathological microvascular structures of ESCC, which correspond to the deepest parts of the lesions' infiltration.

METHODS

Patients with ESCC and precancerous lesions diagnosed at Peking University Third Hospital were enrolled between January 2019 and April 2023. Patients first underwent magnified endoscopic examination, followed by endoscopic submucosal dissection or surgical treatment. Pathological images were scanned using a three-dimensional slice scanner, and the pathological structural differences in different types, according to the JES classification, were analyzed using nonparametric tests and t-tests.

RESULTS

The 35 lesions were divided into four groups according to the JES classification: A, B1, B2, and B3. Statistical analyses revealed significant differences (a P < 0.05) in the short and long calibers, area, location, and density between types A and B. Notably, there were no significant differences in these parameters between types B1 and B2 and between types B2 and B3 (P > 0.05). However, significant differences in the short calibers, long calibers, and area of IPCL were observed between types B1 and B3 (a P < 0.05); no significant differences were found in the density or location (P > 0.05).

CONCLUSION

Pathological structures of IPCLs in the deepest infiltrating regions differ among various IPCL types classified by the JES classification under magnifying endoscopy, especially between the types A and B.

Long Noncoding RNA NKX2-1-AS1 Accelerates Non-Small Cell Lung Cancer Progression through the miR-589-5p/NME1 Axis

Non-small cell lung cancer (NSCLC) is the most common malignancy worldwide, with a high death rate. Long noncoding RNA (LncRNA) NKX2-1 antisense RNA 1 (NKX2-1-AS1) has been reported to be an oncogene in lung tumorigenesis. However, the precise mechanism of NKX2-1-AS1 underlying NSCLC progression is blurry. The intention of our research was to probe the potential mechanism of NKX2-1-AS1 underlying NSCLC. NKX2-1-AS1 expression and relevant downstream gene expression were measured using RT-qPCR. Cell proliferation and apoptosis were determined by MTT assay, EdU assay along with flow cytometry analysis. Cell migratory and invasive abilities were inspected by transwell assay. Western blot and immunofluorescence staining were utilized to assess the levels of epithelial-mesenchymal transition (EMT)-related proteins. RNA pull-down together with luciferase reporter assays were performed to verify the interaction between NKX2-1-AS1 and its downstream RNAs. Xenograft tumor-bearing mouse models were built to analyze tumor growth in vivo. The results suggested that NKX2-1-AS1 was upregulated in NSCLC patient tissues and cell lines. NKX2-1-AS1 deficiency suppressed cell proliferation, migration, invasion and EMT while elevated apoptosis. NKX2-1-AS1 bound to miR-589-5p, and NME/NM23 nucleoside diphosphate kinase 1 (NME1) was targeted by miR-589-5p in NSCLC cells. Additionally, NKX2-1-AS1 accelerated the progression of NSCLC by regulating miR-589-5p/NME1 axis. NKX2-1-AS1 knockdown repressed tumor growth in vivo. In conclusion, NKX2-1-AS1 accelerated the NSCLC progression through interacting with miR-589-5p for NME1 upregulation, which may provide clues for NSCLC targeting therapy.

Safety of Ustekinumab in Inflammatory Bowel Disease: Pooled Safety Analysis Through 5 Years in Crohn's Disease and 4 Years in Ulcerative Colitis

BACKGROUND AND AIMS

Previously published long-term safety data reported a favourable ustekinumab safety profile for the treatment of inflammatory bowel disease [IBD]. We present the final cumulative safety data from pooled ustekinumab IBD phase 2/3 clinical studies through 5 years in Crohn's disease [CD] and 4 years in ulcerative colitis [UC].

METHODS

In phase 3 studies, patients received a single intravenous placebo or ustekinumab [130 mg or ~6 mg/kg] induction dose followed by subcutaneous maintenance doses of placebo or ustekinumab [90 mg q8w or q12w]. Analyses included all patients who received one dose of study treatment and included patients who were biologic-naïve and patients with a history of biologic failure. Safety outcomes are summarized and presented using number of events per 100 patient-years of follow-up and corresponding 95% confidence intervals.

RESULTS

In this final pooled safety analysis, 2575 patients were treated with ustekinumab with 4826 patient-years of follow-up. Rates of key safety events, including major adverse cardiac events and malignancies, were similar between placebo and ustekinumab or not higher for ustekinumab. Opportunistic infections, including tuberculosis, and malignancies were reported infrequently. Rates of key safety events in the IBD group were no higher in the ustekinumab group than in the placebo group for both patients who were biologic-naïve or who had a history of biologic failure. No lymphomas or cases of posterior reversible encephalopathy syndrome [formerly known as reversible posterior leukoencephalopathy syndrome] were reported.

CONCLUSION

The final cumulative ustekinumab safety data through 5 years in CD and 4 years in UC demonstrated favourable safety compared to placebo and continue to support the well-established safety profile across all approved indications.

CLINICAL TRIALS.GOV NUMBERS

NCT00265122, NCT00771667, NCT01369329, NCT01369342, NCT01369355, NCT02407236.

A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system

Objective. To allow the estimation of secondary cancer risks from radiation therapy treatment plans in a comprehensive and user-friendly Monte Carlo (MC) framework.Method. Patient planning computed tomography scans were extended superior-inferior using the International Commission on Radiological Protection's Publication 145 computational mesh phantoms and skeletal matching. Dose distributions were calculated with the TOPAS MC system using novel mesh capabilities and the digital imaging and communications in medicine radiotherapy extension interface. Finally, in-field and out-of-field cancer risk was calculated using both sarcoma and carcinoma risk models with two alternative parameter sets.Result. The TOPAS MC framework was extended to facilitate epidemiological studies on radiation-induced cancer risk. The framework is efficient and allows automated analysis of large datasets. Out-of-field organ dose was small compared to in-field dose, but the risk estimates indicate a non-negligible contribution to the total radiation induced cancer risk.Significance. This work equips the TOPAS MC system with anatomical extension, mesh geometry, and cancer risk model capabilities that make state-of-the-art out-of-field dose calculation and risk estimation accessible to a large pool of users. Furthermore, these capabilities will facilitate further refinement of risk models and sensitivity analysis of patient specific treatment options.

The Comparison of Newly Diagnosed Invasive Breast Patient Cohorts in Genomics Evidence Neoplasia Information Exchange Biopharma Collaborative (GENIE-BPC) and Other Real-World Databases

BACKGROUND

Oncology databases that integrate genomic and clinical data have become valuable resources for precision medicine. However, the generalizability of these databases has not been comprehensively assessed.

OBJECTIVES

To describe the demographics, clinical characteristics, treatments, and overall survival of breast cancer cohorts in GENIE-BPC and three other databases.

METHODS

This study utilized GENIE-BPC, SEER, SEER-Medicare, and Merative MarketScan Research Databases. Women with invasive breast cancer were identified through EHR, cancer registries or ICD-9/10-CM codes. The ages were 18+ years or per database requirement. Treatments were based on EHR or HCPCS/NDC codes in claims. Overall survival was estimated as time from diagnosis to death.

RESULTS

Of female breast cancer patients in GENIE-BPC (n = 775), SEER (n = 548 336), SEER-Medicare (n = 68 914), and Marketscan (n = 109 499) databases, the median ages at initial diagnosis were 44, 62, 74, and 57 years, respectively. A greater proportion of patients in GENIE-BPC, compared to SEER/SEER-Medicare, had higher nuclear grades (%III-%IV: 57% vs. 26%/24%), advanced disease stage (%IV: 25.3% vs. 5%/3.6%), percent of triple negative breast cancer (19.7% vs. 10.2%/8.5%), and receipt of chemotherapy (85.0% vs. NA/22.3%). The 1-, 3-, and 5-year overall survival rates were lower in GENIE-BPC (78.5%, 60.5%, 55.5%) than in SEER (95.8%, 89.5%, 85.5%) and SEER-Medicare (91.6%, 81.4%, 75.0%).

CONCLUSION

Breast cancer patients in GENIE-BPC were younger, had more advanced disease, had a higher proportion of triple negative breast cancer and recipients of chemotherapy, and had poorer overall survival. Researchers must use statistical adjustment when extrapolating results (e.g., biomarker prevalence) from GENIE-BPC to the larger breast cancer population.

Secondary databases in gynecologic cancer research

Observational and cohort studies using large databases have made important contributions to gynecologic oncology. Knowledge of the advantages and potential limitations of commonly used databases benefits both readers and reviewers. In this review, researchers familiar with National Cancer Database (NCDB), Surveillance, Epidemiology, and End Results Program (SEER), SEER-Medicare, MarketScan, Healthcare Cost and Utilization Project (HCUP), National Surgical Quality Improvement Program (NSQIP), and Premier, describe each database, its included data, access, management, storage, highlights, and limitations. A better understanding of these commonly used datasets can help readers, reviewers, and researchers to more effectively interpret and apply study results, evaluate new research studies, and develop compelling and practice-changing research.

Comparison of overall and patterns of care in patients with a malignant ovarian germ cell tumor by age in the United States: a National Cancer Database (2004-2016) analysis

BACKGROUND

Women aged ≥40 years diagnosed with a malignant ovarian germ cell tumor are more likely to have poor outcomes than their younger counterparts (aged 15-39 years).

OBJECTIVE

We used the National Cancer Database (NCDB) to evaluate patterns of care and overall survival for individuals diagnosed with one of the four most common histologic subtypes of malignant ovarian germ cell tumor by age group.

METHODS

We identified women aged 15-90 diagnosed with ovarian germ cell tumors in the NCDB (2004-2016). Logistic regression was used to compare patterns of care, demographic, and disease characteristics by age group. Cox proportional hazards regression was used to evaluate associations between a range of demographic, clinical, and treatment characteristics with overall survival.

RESULTS

A total of n=2998 patients who were diagnosed with one of the four most common histologic subtypes (immature teratoma, dysgerminoma, yolk sac tumor, and mixed germ cell) of ovarian germ cell tumor were included in the analysis. Patients aged ≥40 years diagnosed with ovarian germ cell tumors were more likely to have co-morbidities, a bilateral tumor, higher stage of disease, receive chemotherapy only, and have a residual tumor after resection as compared with patients aged <40 years. Moreover, women aged ≥40 years had the highest risk of death (reference: 15-24 year olds; HR=5.37, 95% CI 3.76 to 7.66) after adjustment for demographic characteristics, tumor histology, and treatment received. In stratified analyses, women aged ≥40 years had significantly worse overall survival at each disease stage and histologic subtype.

CONCLUSION

Findings suggest that women aged ≥40 years who are diagnosed with ovarian germ cell tumors have worse overall survival than those aged <40, independent of stage, disease characteristics, and treatment. Our study highlights the need for future research to better understand reasons for poorer outcomes in women aged ≥40 years.

Characteristics and distinct prognostic determinants of individuals with hepatosplenic T-cell lymphoma over the past two decades

BACKGROUND

Hepatosplenic T-cell lymphoma (HSTCL) is a rare and aggressive peripheral T-cell lymphoma with historically dismal outcomes, representing less than one percent of non-Hodgkin lymphomas. Given its rarity, the true incidence of HSTCL is unknown and most data have been extrapolated through case reports. To the best of our knowledge, the largest and most up to date study addressing the epidemiology and outcomes of patients with HSTCL in the United States covered a period from 1996 to 2014, with a sample size of 122 patients.

AIM

To paint the most updated epidemiological picture of HSTCL.

METHODS

A total of 186 patients diagnosed with HSTCL, between 2000 and 2017, were ultimately enrolled in our study by retrieving data from the Surveillance, Epidemiology, and End Results database. We analyzed demographics, clinical characteristics, and overall mortality (OM) as well as cancer-specific mortality (CSM) of HSTCL. Variables with a P value < 0.01 in the univariate Cox regression were incorporated into the multivariate Cox model to determine the independent prognostic factors, with a hazard ratio of greater than 1 representing adverse prognostic factors.

RESULTS

Male gender was the most represented. HSTCL was most common in middle-aged patients (40-59) and less common in the elderly (80+). Non-Hispanic whites (60.75%) and non-Hispanic blacks (20.97%) were the most represented racial groups. Univariate Cox proportional hazard regression analysis of factors influencing all-cause mortality showed a higher OM among non-Hispanic black patients. CSM was also higher among non-Hispanic blacks and patients with distant metastasis. Multivariate Cox proportional hazard regression analysis of factors affecting CSM revealed higher mortality in patients aged 80 or older and non-Hispanic blacks.

CONCLUSION

Overall, the outlook for this rare malignancy is very grim. In this retrospective cohort study of the United States population, non-Hispanic blacks and the elderly had a higher CSM. This data highlights the need for larger prospective studies to investigate factors associated with worse prognosis in one ethnic group, such as treatment delays, which have been shown to increase mortality in this racial/ethnic group for other cancers.

Racial disparities in the incidence and survival outcomes in diffuse large B-cell lymphoma in adolescents and young adults

Diffuse large B-cell Lymphoma (DLBCL) is an aggressive subtype of non-Hodgkin lymphoma (NHL). The disease generally occurs in older patients. Although at a lower prevalence, the disease also occurs in the adolescent and young adult group (AYA). There is paucity of data in the literature on racial and ethnic disparities in the incidence and survival outcomes of DLBCL in the AYA group. The objective of our study is to demonstrate the disparities in these outcomes. Utilizing SEER, we obtained data on patient demographics, incidence, and survival from 2000 to 2020. We observed statistically significant reduced incidence of DLBCL in all racial groups, except the non-Hispanic Asian and Pacific Islander group (NHAPI). The non-Hispanic Black group (NHB) had one of the lowest survival despite showing the largest decrease in incidence in DLBCL. The differences in the survival could be secondary to socioeconomic factors, however other reasons need to be explored. The increased incidence among the NHAPI group mirrors that of large population-based studies in East Asian countries, however, underlying reasons have not been elucidated.

Deciphering the molecular landscape: evolutionary progression from gynecomastia to aggressive male breast cancer

BACKGROUND

Gynecomastia denotes the benign proliferation of glandular breast tissue and stands as a recognized risk factor for male breast cancer. Nonetheless, the underlying carcinogenic mechanisms orchestrating the progression from gynecomastia to cancer remain poorly understood.

METHODS

This study employed single-cell RNA sequencing (scRNA-seq) to meticulously dissect the cellular landscape of gynecomastia and unravel potential associations with male breast cancer at a single-cell resolution. Pseudotime and evolutionary analyses were executed to delineate the distinct features characterizing gynecomastia and male breast cancer. The TCGA database, along with cell-cell communication analysis and immunohistochemistry staining, was harnessed to validate differential gene expression, specifically focusing on CD13.

RESULT

From the copy number variation profiles and evolutionary tree, we inferred shared mutation characteristics (18p+ and 18q+) underpinning both conditions. The developmental trajectory unveiled an intriguing overlap between gynecomastia and malignant epithelial cells. Moreover, the differential gene CD13 emerged as a common denominator in both gynecomastia and male breast cancer when compared with normal mammary tissue. Cell-cell interaction analysis and communication dynamics within the tumor microenvironment spotlighted distinctions between CD13+ and CD13- subsets, with the former exhibiting elevated expression of FGFR1-FGF7.

CONCLUSIONS

Our investigation provides novel insights into the evolutionary progression from gynecomastia to male breast cancer, shedding light on the pivotal role of CD13 in driving this transition. The identification of CD13 as a potential therapeutic target suggests the feasibility of CD13-targeted interventions, specifically tailored for male breast cancer treatment.

Environmental drivers of the rising incidence of early-onset colorectal cancer in the United States

Incidence of early-onset (diagnosed before age 50) colorectal cancer (EOCRC) has increased alarmingly since the 1990s in the United States. This study investigated what environmental exposures may have driven this increase. We obtained EOCRC incidence data from the Surveillance, Epidemiology, and End Results Program, and data for 11 exposures, for example, body mass index (BMI), from long-term national surveys. We aggregated these data for 30 to 49-year-olds during 1992 to 2016 by population subgroups defined by calendar period, age, race and sex, and used negative binomial regression models to identify and estimate associations of EOCRC with multiple exposures. Furthermore, we used counterfactual modeling to quantify contributions of identified risk factors to EOCRC incidence. The top models (with lowest Bayesian Information Criteria) consistently identified excess body weight, represented by overweight and obesity (BMI ≥25) or obesity alone (BMI ≥30), as the strongest risk factor. The best-performing model estimated increased EOCRC incidence due to overweight and obesity, with an incidence rate ratio (95% confidence interval) of 1.20 (1.17-1.22) for white men, 1.04 (1.00-1.08) for black men, 1.17 (1.15-1.21) for white women and 1.03 (0.97-1.08) for black women. Increases in overweight and obesity prevalence contributed to an estimated 30% (standard error: 1%) for men and 28% (standard error: 2%) for women of ECORC incidence during 1992 to 2016. These findings suggest excess body weight substantially contributed to and is likely a primary driver of the rising incidence of EOCRC in the United States. Prevention of excess weight gain may help lower colorectal cancer risk early in life.

Comparing gastrointestinal stromal tumor outcomes between geriatric and non-geriatric patients: A population-based analysis

BACKGROUND

Gastrointestinal Stromal Tumors (GISTs) are the most common mesenchymal tumors of the GI tract. SEER is an extensive cancer database which proves useful in analyzing population trends. This analysis investigated GIST outcomes between geriatric & non-geriatric patients.

METHODS

SEER*STAT 8.4.0.1 was used to extract relevant GIST data from 2000 to 2019. Geriatric age was defined as ≥70 years. Variables included age, sex, surgery, cancer-specific death, and overall survival. Statistical tests included univariate analysis using KM survival estimate (95% confidence interval) to calculate 5-year survival (5YS). Log-Rank tests determined statistical significance. Multivariable Cox's PH regression estimated the geriatric hazard death ratio adjusted for sex, stage, and surgery.

RESULTS

The number of patients included was 13,579, yielding overall 5YS of 68.6% (95% CI 67.7-69.5). Cancer-specific death was 39.11% in 2000 & 3.33% in 2019. Non-geriatric & geriatric patient data yielded 5YS of 77.4% (76.4%-78.3%) and 53.3% (51.7%-54.8%) respectively (p < 0.0001). For no surgery/surgery, younger patient data yielded 5YS of 48.7% (45.8%-51.4%) and 83.7% (82.7%-84.7%) respectively (p < 0.0001); geriatric data yielded 5YS of 29.3% (26.5%-32.1%) and 62.8% (60.8%-64.6%) respectively (p < 0.0001). Multivariable analysis yielded a geriatric hazard death of 2.56 (2.42-2.70) (p < 0.0001).

CONCLUSIONS

Cancer-specific death decreased since 2000, indicating an improvement in survival & treatment methods. Observed lower survival rates overall in the geriatric group. Surgery appeared to enhance survival rates in both groups, suggesting that surgery is an important factor in GIST survival regardless of age. Large prospective studies will help define clinical management for geriatric patients.

A review of big data technology and its application in cancer care

The development of modern medical devices and information technology has led to a rapid growth in the amount of data available for health protection information, with the concept of medical big data emerging globally, along with significant advances in cancer care relying on data-driven approaches. However, outstanding issues such as fragmented data governance, low-quality data specification, and data lock-in still make sharing challenging. Big data technology provides solutions for managing massive heterogeneous data while combining artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) to better mine the intrinsic connections between data. This paper surveys and organizes recent articles on big data technology and its applications in cancer, dividing them into three different types to outline their primary content and summarize their critical role in assisting cancer care. It then examines the latest research directions in big data technology in cancer and evaluates the current state of development of each type of application. Finally, current challenges and opportunities are discussed, and recommendations are made for the further integration of big data technology into the medical industry in the future.

Epidemiology of Adenosquamous Carcinomas

Background

Adenosquamous carcinomas (ASCs) are a very rare histology containing cancer cells with both glandular-like (adeno) and squamous cell histologies, comprising typically a fraction of a percent of all solid tumors. The bulk of the literature on ASCs is comprised of case reports and small series, with the general finding that ASCs tend to have worse outcomes than either of their parent histologies. However, there is a lack of pan site-comparative studies in the literature that compare ASC clinicodemographic and survival outcomes with those of conventional adenocarcinomas (ACs) and squamous cell carcinomas (SCCs).

Methods

In this study, we summarize these outcomes in eight primary sites, comprising 92.7% of all ASC cases diagnosed from 1975 to 2020 in the Surveillance, Epidemiology, and End Results (SEER) database.

Results

Lung ASCs comprise 51.5% of all ASC cases, accounting for 1.1% of all lung cancer cases, followed by uterine/cervical cancers at 29.7% of all ASC cases, translating into 1.8% of all cancers in this site. In descending order, the remaining 20% of ASCs arise in pancreatic, oral cavity, biliary, esophageal, colorectal, and gastric sites, comprising between 0.1% and 0.7% of all cancers in these sites. Apart from pancreatic and oral cavity cancers, ASC tumors tended to favor higher rates of regional or distant disease at presentation with poor tumor differentiation compared to either AC or SCC histologies. After multivariable analysis, adjusting for age, sex, detection stage, grade differentiation, surgery, chemotherapy, and radiotherapy, except for oral cavity cancers, ASCs tended to have worse overall survivals compared to ACs (hazard ratios: 1.1 - 1.6) and SCC (1.0 - 1.3), with colorectal ASCs having the worse overall survival compared to colorectal ACs, with a hazard ratio of 1.4 (95% confidence interval: 1.3 - 1.6).

Conclusions

Overall, these results suggest that ASC outcomes are site specific, and in general, tend to have worse outcomes than nonvariant ACs and SCCs even after correction for common clinical and epidemiological factors. These cancers have a poorly understood but unique tumor biology that warrants further characterization.

β-elemene alleviates esophageal fibrosis after endoscopic submucosal dissection via the FAP-mediated PTEN-PI3K/AKT signaling pathway

Esophageal stricture caused by fibrosis is a serious complication after esophageal Endoscopic submucosal dissection (ESD). Myofibroblasts play a crucial role in esophageal fibrosis, so inhibiting activated myofibroblasts is a promising approach for treating esophageal fibrosis. β-Elemene, a natural product with anti-tumor and anti-fibrotic properties, has not been thoroughly examined in esophageal fibrosis. Additionally, fibroblast activation protein (FAP) and PTEN-PI3K/AKT signaling pathway are both notably linked to fibrotic diseases. Therefore, we investigated the potential mechanisms of β-elemene in esophageal fibrosis by treating primary human esophageal granulation fibroblasts (PHEGFs) with gradient concentrations of β-elemene. Our findings demonstrated that β-elemene inhibited the activity of PHEGFs in a dose-dependent manner, accompanied by downregulation of FAP, p-PI3K, and p-AKT protein expression, along with upregulation of p-PTEN protein expression. In addition, we substantiated the potential correlation between FAP and the PTEN-PI3K/AKT signaling pathway by establishing models of FAP overexpression and silencing. These results provide a new perspective on the potential mechanism of β-elemene in relieving esophageal fibrosis and offer novel therapeutic strategies for managing post-esophageal ESD stricture in clinical practice.

Trends in cancer-related suicide in the United States: a population-based epidemiology study spanning 40 years of data

Large cohort studies examining trends in cancer-related suicide are lacking. We analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database, encompassing a total of 4,870,410 patients diagnosed with cancer from 1975 to 2017 in the United States. Joinpoint regression was used to estimate the annual percent change (APC) and average annual percentage change (AAPC) of age-adjusted rates of suicide. In the past 40 years, we revealed a gradual increase in cancer-related suicide rates from 1975 to 1989, followed by a gradual decrease from 1989 to 2013, and a marked decrease from 2013 to 2017. These trends suggested the potential impact of advancements in psychosocial care for patients with cancer in contributing to the observed decrease in suicide rates.

Optimal timing of a colonoscopy screening schedule depends on adenoma detection, adenoma risk, adherence to screening and the screening objective: A microsimulation study

Colonoscopy-based screening provides protection against colorectal cancer (CRC), but the optimal starting age and time intervals of screening colonoscopies are unknown. We aimed to determine an optimal screening schedule for the US population and its dependencies on the objective of screening (life years gained or incidence, mortality, or cost reduction) and the setting in which screening is performed. We used our established open-source microsimulation model CMOST to calculate optimized colonoscopy schedules with one, two, three or four screening colonoscopies between 20 and 90 years of age. A single screening colonoscopy was most effective in reducing life years lost from CRC when performed at 55 years of age. Two, three and four screening colonoscopy schedules saved a maximum number of life years when performed between 49-64 years; 44-69 years; and 40-72 years; respectively. However, for maximum incidence and mortality reduction, screening colonoscopies needed to be scheduled 4-8 years later in life. The optimum was also influenced by adenoma detection efficiency with lower values for these parameters favoring a later starting age of screening. Low adherence to screening consistently favored a later start and an earlier end of screening. In a personalized approach, optimal screening would start earlier for high-risk patients and later for low-risk individuals. In conclusion, our microsimulation-based approach supports colonoscopy screening schedule between 45 and 75 years of age but the precise timing depends on the objective of screening, as well as assumptions regarding individual CRC risk, efficiency of adenoma detection during colonoscopy and adherence to screening.

Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma

BACKGROUND

Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggressive biological behavior and poor prognosis. Therefore, survival time is one of the greatest concerns for patients with AFP-positive HCC. This study aimed to demonstrate the utilization of six machine learning (ML)-based prognostic models to predict overall survival of patients with AFP-positive HCC.

METHODS

Data on patients with AFP-positive HCC were extracted from the Surveillance, Epidemiology, and End Results database. Six ML algorithms (extreme gradient boosting [XGBoost], logistic regression [LR], support vector machine [SVM], random forest [RF], K-nearest neighbor [KNN], and decision tree [ID3]) were used to develop the prognostic models of patients with AFP-positive HCC at one year, three years, and five years. Area under the receiver operating characteristic curve (AUC), confusion matrix, calibration curves, and decision curve analysis (DCA) were used to evaluate the model.

RESULTS

A total of 2,038 patients with AFP-positive HCC were included for analysis. The 1-, 3-, and 5-year overall survival rates were 60.7%, 28.9%, and 14.3%, respectively. Seventeen features regarding demographics and clinicopathology were included in six ML algorithms to generate a prognostic model. The XGBoost model showed the best performance in predicting survival at 1-year (train set: AUC = 0.771; test set: AUC = 0.782), 3-year (train set: AUC = 0.763; test set: AUC = 0.749) and 5-year (train set: AUC = 0.807; test set: AUC = 0.740). Furthermore, for 1-, 3-, and 5-year survival prediction, the accuracy in the training and test sets was 0.709 and 0.726, 0.721 and 0.726, and 0.778 and 0.784 for the XGBoost model, respectively. Calibration curves and DCA exhibited good predictive performance as well.

CONCLUSIONS

The XGBoost model exhibited good predictive performance, which may provide physicians with an effective tool for early medical intervention and improve the survival of patients.

Prognostic nomogram to predict cancer-specific survival with small-cell carcinoma of the prostate: a multi-institutional study

Objective

The aim of this study is to examine the predictive factors for cancer-specific survival (CSS) in patients diagnosed with Small-Cell Carcinoma of the Prostate (SCCP) and to construct a prognostic model.

Methods

Cases were selected using the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method was utilized to calculate survival rates, while Lasso and Cox regression were employed to analyze prognostic factors. An independent prognostic factor-based nomogram was created to forecast CSS at 12 and 24 months. The model's predictive efficacy was assessed using the consistency index (C-index), calibration curve, and decision curve analysis (DCA) in separate tests.

Results

Following the analysis of Cox and Lasso regression, age, race, Summary stage, and chemotherapy were determined to be significant risk factors (P < 0.05). In the group of participants who received training, the rate of 12-month CSS was 44.6%, the rate of 24-month CSS was 25.5%, and the median time for CSS was 10.5 months. The C-index for the training cohort was 0.7688 ± 0.024. As for the validation cohort, it was 0.661 ± 0.041. According to the nomogram, CSS was accurately predicted and demonstrated consistent and satisfactory predictive performance at both 12 months (87.3% compared to 71.2%) and 24 months (80.4% compared to 71.7%). As shown in the external validation calibration plot, the AUC for 12- and 24-month is 64.6% vs. 56.9% and 87.0% vs. 70.7%, respectively. Based on the calibration plot of the CSS nomogram at both the 12-month and 24-month marks, it can be observed that both the actual values and the nomogram predictions indicate a predominantly stable CSS. When compared to the AJCC staging system, DCA demonstrated a higher level of accuracy in predicting CSS through the use of a nomogram.

Conclusion

Clinical prognostic factors can be utilized with nomograms to forecast CSS in Small-Cell Carcinoma of the Prostate (SCCP).

Exploring the impact of PDGFD in osteosarcoma metastasis through single-cell sequencing analysis

PURPOSE

The overall survival rate for metastatic osteosarcoma hovers around 20%. Responses to second-line chemotherapy, targeted therapies, and immunotherapies have demonstrated limited efficacy in metastatic osteosarcoma. Our objective is to validate differentially expressed genes and signaling pathways between non-metastatic and metastatic osteosarcoma, employing single-cell RNA sequencing (scRNA-seq) and additional functional investigations. We aim to enhance comprehension of metastatic mechanisms and potentially unveil a therapeutic target.

METHODS

scRNA-seq was performed on two primary osteosarcoma lesions (1 non-metastatic and 1 metastatic). Seurat package facilitated dimensionality reduction and cluster identification. Copy number variation (CNV) was predicted using InferCNV. CellChat characterized ligand-receptor-based intercellular communication networks. Differentially expressed genes underwent GO function enrichment analysis and GSEA. Validation was achieved through the GSE152048 dataset, which identified PDGFD-PDGFRB as a common ligand-receptor pair with significant contribution. Immunohistochemistry assessed PDGFD and PDGFRB expression, while multicolor immunofluorescence and flow cytometry provided insight into spatial relationships and the tumor immune microenvironment. Kaplan-Meier survival analysis compared metastasis-free survival and overall survival between high and low levels of PDGFD and PDGFRB. Manipulation of PDGFD expression in primary osteosarcoma cells examined invasion abilities and related markers.

RESULTS

Ten clusters encompassing osteoblasts, osteoclasts, osteocytes, fibroblasts, pericytes, endothelial cells, myeloid cells, T cells, B cells, and proliferating cells were identified. Osteoblasts, osteoclasts, and osteocytes exhibited heightened CNV levels. Ligand-receptor-based communication networks exposed significant fibroblast crosstalk with other cell types, and the PDGF signaling pathway was activated in non-metastatic osteosarcoma primary lesion. These results were corroborated by the GSE152048 dataset, confirming the prominence of PDGFD-PDGFRB as a common ligand-receptor pair. Immunohistochemistry demonstrated considerably greater PDGFD expression in non-metastatic osteosarcoma tissues and organoids, correlating with extended metastasis-free and overall survival. PDGFRB expression showed no significant variation between non-metastatic and metastatic osteosarcoma, nor strong correlations with survival times. Multicolor immunofluorescence suggested co-localization of PDGFD with PDGFRB. Flow cytometry unveiled a highly immunosuppressive microenvironment in metastatic osteosarcoma. Manipulating PDGFD expression demonstrated altered invasive abilities and marker expressions in primary osteosarcoma cells from both non-metastatic and metastatic lesions.

CONCLUSIONS

scRNA-seq illuminated the activation of the PDGF signaling pathway in primary lesion of non-metastatic osteosarcoma. PDGFD displayed an inhibitory effect on osteosarcoma metastasis, likely through the suppression of the EMT signaling pathway.

Research Progress on New Functions of Animal and Plant Proteins

Protein is composed of peptides, essential nutrients for human survival and health, and the easy absorption of peptides further promotes human health. According to the source of the protein, it can be divided into plants, animals, and micro-organisms, which have important physiological effects on the health of the body, especially in enhancing immunity. The most widely used raw materials are animal protein and plant protein, and the protein composition formed by the two in a certain proportion is called "double protein". In recent years, China's State Administration for Market Regulation has issued an announcement on the "Implementation Rules for the Technical Evaluation of New Functions and Products of Health Foods (Trial)", which provides application conditions and listing protection for the research and development of new functions of health foods. At present, some researchers and enterprises have begun to pay attention to the potential of animal and plant proteins to be used in new functions. In this article, the research progress of animal and plant proteins in the new functions of Chinese health food is reviewed in detail, and suggestions for future research on animal and plant proteins are put forward.

Rural Melanoma Patients Have Less Surgery and Higher Melanoma-Specific Mortality

BACKGROUND

Melanoma causes most skin cancer-related deaths, and disparities in mortality persist. Rural communities, compared to urban, face higher levels of poverty and more barriers to care, leading to higher stage at presentation and shorter survival in melanoma. To further evaluate these disparities, we sought to assess the association between rurality and melanoma cause-specific mortality and receipt of recommended surgery in a national cohort.

METHODS

Patients with primary non-ocular, cutaneous melanoma from the SEER database, 2000-2017, were included. Outcomes included melanoma-specific survival and receipt of recommended surgery. Rurality was based on Rural-Urban Continuum Codes. Variables included age, sex, race, ethnicity, income, and stage. Multivariate regression models assessed the effect of rurality on survival and receipt of recommended surgery.

RESULTS

103,606 patients diagnosed with non-ocular cutaneous primary melanoma met criteria during this period. 93.3% (n = 96620) were in urban areas and 6.7% (n = 6986) were in rural areas. On multivariate regression controlling for age, sex, race, ethnicity, and stage patients living in a rural area were less likely to receive recommended surgery (aOR .52, 95% CI: .29-.90, P = .02) and had increased hazard of melanoma-specific mortality (aHR 1.19, 95% CI: 1.02-1.40, P = .03) even after additionally controlling for surgery receipt.

CONCLUSION

Using a large national cohort, our study found that rural patients were less likely to receive recommended surgery and had shorter melanoma cause-specific survival. Our findings highlight the importance of access to cancer care in rural areas and how this ultimately effects survival for these patients.

Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer

BACKGROUND

Deep learning (DL), a specialized form of machine learning (ML), is valuable for forecasting survival in various diseases. Its clinical applicability in real-world patients with gastric cancer (GC) has yet to be extensively validated.

METHODS

A combined cohort of 11,414 GC patients from the Surveillance, Epidemiology and End Results (SEER) database and 2,846 patients from a Chinese dataset were utilized. The internal validation of different algorithms, including DL model, traditional ML models, and American Joint Committee on Cancer (AJCC) stage model, was conducted by training and testing sets on the SEER database, followed by external validation on the Chinese dataset. The performance of the algorithms was assessed using the area under the receiver operating characteristic curve, decision curve, and calibration curve.

RESULTS

DL model demonstrated superior performance in terms of the area under the curve (AUC) at 1, 3, and, 5 years post-surgery across both datasets, surpassing other ML models and AJCC stage model, with AUCs of 0.77, 0.80, and 0.82 in the SEER dataset and 0.77, 0.76, and 0.75 in the Chinese dataset, respectively. Furthermore, decision curve analysis revealed that the DL model yielded greater net gains at 3 years than other ML models and AJCC stage model, and calibration plots at 3 years indicated a favorable level of consistency between the ML and actual observations during external validation.

CONCLUSIONS

DL-based model was established to accurately predict the survival rate of postoperative patients with GC.

Head and Neck Cancer Incidence in the United States Before and During the COVID-19 Pandemic

Importance

Research about population-level changes in the incidence and stage of head and neck cancer (HNC) associated with the COVID-19 pandemic is sparse.

Objective

To examine the change in localized vs advanced HNC incidence rates before and during the first year of the pandemic.

Design, Setting, and Participants

In this cross-sectional study of patients in the US diagnosed with HNC from 2017 to 2020, the estimated number with cancer of the oral cavity and pharynx (floor of mouth; gum and other mouth; lip; oropharynx and tonsil; and tongue) and larynx were identified from the SEER cancer registry. Subgroup analyses were stratified by race and ethnicity, age, and sex. Data were analyzed after the latest update in April 2023.

Exposure

The COVID-19 pandemic in 2020.

Main Outcomes and Measures

The primary outcomes were the annual incidence rates per 100 000 people for localized HNC (includes both localized and regional stages) and advanced HNC (distant stage) and weighted average annual percentage change from 2019 to 2020. Secondary outcomes included annual percentage change for 2017 to 2018 and 2018 to 2019, which provided context for comparison.

Results

An estimated 21 664 patients (15 341 [71%] male; 10 726 [50%] ≥65 years) were diagnosed with oral cavity and pharynx cancer in 2019 in the US, compared with 20 390 (4355 [70%] male; 10 393 [51%] ≥65 years) in 2020. Overall, the HNC incidence rate per 100 000 people declined from 11.6 cases in 2019 to 10.8 in 2020. The incidence rate of localized cancer declined to 8.8 cases (-7.9% [95% CI, -7.5 to -8.2]) from 2019 to 2020. The localized cancer incidence during the first year of the pandemic decreased the most among male patients (-9.3% [95% CI, -9.2 to -9.5]), Hispanic patients (-12.9% [95% CI, -12.9 to -13.0]), and individuals with larynx cancer (-14.3% [95% CI, -13.6 to -15.0]). No change in the overall incidence rate was found for advanced HNC.

Conclusions and Relevance

In this cross-sectional study, the incidence of localized HNC declined during the first year of the pandemic. A subsequent increase in advanced-stage diagnoses may be observed in later years.

Epidemiology and survival factors of appendicular myxofibrosarcoma: a SEER-retrospective study

Background

The low incidence of myxofibrosarcoma (MFS) makes high power studies difficult to perform. Demographic and prognostic factors for MFS and how they differ from all extremity soft tissue sarcomas (STS) are not well understood. The purpose of this study was to characterize a large cohort of patients with MFS and evaluate epidemiologic and survival factors when compared to all STS.

Materials and methods

We performed a retrospective review of the Surveillance, Epidemiology, and End Results (SEER) database from 2000 to 2015 to identify 1,440 patients diagnosed with MFS and 12,324 with STS. Survival curves were creased using Kaplan-Meier, and Cox regression analyses were performed to identify hazard ratios (HRs).

Results

Overall survival was greater for STS than MFS (79% vs. 67%). Patients with MFS had a higher average age at diagnosis than STS (62 vs. 56), and older age was strongly associated with decreased survivorship for MFS (HR = 7.94). A greater proportion of patients under 30 diagnosed with MFS were female when compared to STS (49.6% vs. 45.4%). The incidence of MFS and STS increased over the 15-year period, with MFS increasing at a greater rate than STS (1.25% vs. 2.59%). Survival increased for patients diagnosed after 2008 for both STS (9.4%) and MFS (13.2%).

Conclusions

There are differences between patient demographics and survival factors when comparing MFS to all STS. Monitoring changes in demographic and survival trends for rare STS subtypes like MFS is important to improve diagnostic algorithms and treatment options.

Differences in the incidence and mortality of digestive cancer between Global Cancer Observatory 2020 and Global Burden of Disease 2019

The burden of digestive cancers is increasing worldwide. The Global Cancer Observatory (GLOBOCAN) 2020 and the Global Burden of Disease (GBD) 2019 are two primary cancer databases, which have a significant impact on policy formulation and resource allocation. We aim to compare the incidence and mortality of digestive cancers between them. Digestive cancer (esophageal, stomach, colorectal, liver, gallbladder and pancreatic cancer) incidence was obtained from the Cancer Today and GBD 2019 result tool. The top five countries with the most or minor difference between GLOBOCAN 2020 and GBD 2019 in age-standardized incidence rates (ASIRs) of digestive cancers were identified. A systematic search on the incidence of specific digestive cancer in selected countries from PubMed and Embase was conducted, and 20 of 281 publications were included. The most significant differences in digestive cancers incidence were commonly found in Asian countries (70%), particularly Indonesia, Vietnam and Myanmar, located in Southeast Asia. The ASIRs for most digestive cancers, except liver cancer, in GLOBOCAN 2020 were higher than those in GBD 2019. Gallbladder cancer had the highest average ratio, followed by liver cancer. The most commonly used standard population was Segi's standard population, followed by the World Health Organization standard population. The data sources nor the processing methods of GLOBOCAN 2020 and GBD 2019 were not similar. Low- and middle-income countries without population-based cancer registries were more likely to have selection bias in data collection and amplify regional variations of etiological factors. Better judgments on the quality of cancer data can be made.

A dynamic visualization clinical tool constructed and validated based on the SEER database for screening the optimal surgical candidates for bone metastasis in primary kidney cancer

The implementation of primary tumor resection (PTR) in the treatment of kidney cancer patients (KC) with bone metastases (BM) has been controversial. This study aims to construct the first tool that can accurately predict the likelihood of PTR benefit in KC patients with BM (KCBM) and select the optimal surgical candidates. This study acquired data on all patients diagnosed with KCBM during 2010-2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was utilized to achieve balanced matching of PTR and non-PTR groups to eliminate selection bias and confounding factors. The median overall survival (OS) of the non-PTR group was used as the threshold to categorize the PTR group into PTR-beneficial and PTR-Nonbeneficial subgroups. Kaplan-Meier (K-M) survival analysis was used for comparison of survival differences and median OS between groups. Risk factors associated with PTR-beneficial were identified using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC), area under the curve (AUC), calibration curves, and decision curve analysis (DCA) were used to validate the predictive performance and clinical utility of the nomogram. Ultimately, 1963 KCBM patients meeting screening criteria were recruited. Of these, 962 patients received PTR and the remaining 1061 patients did not receive PTR. After 1:1 PSM, there were 308 patients in both PTR and non-PTR groups. The K-M survival analysis results showed noteworthy survival disparities between PTR and non-PTR groups, both before and after PSM (p < 0.001). In the logistic regression results of the PTR group, histological type, T/N stage and lung metastasis were shown to be independent risk factors associated with PTR-beneficial. The web-based nomogram allows clinicians to enter risk variables directly and quickly obtain PTR beneficial probabilities. The validation results showed the excellent predictive performance and clinical utility of the nomograms for accurate screening of optimal surgical candidates for KCBM. This study constructed an easy-to-use nomogram based on conventional clinicopathologic variables to accurately select the optimal surgical candidates for KCBM patients.

Comparative prognosis and risk assessment in gallbladder neuroendocrine neoplasms versus adenocarcinomas

Background

Gallbladder neuroendocrine neoplasms (GB-NENs) are a rare malignant disease, with most cases diagnosed at advanced stages, often resulting in poor prognosis. However, studies regarding the prognosis of this condition and its comparison with gallbladder adenocarcinomas (GB-ADCs) have yet to yield convincing conclusions.

Methods

We extracted cases of GB-NENs and GB-ADCs from the Surveillance, Epidemiology, and End Results (SEER) database in the United States. Firstly, we corrected differences in clinical characteristics between the two groups using propensity score matching (PSM). Subsequently, we visualized and compared the survival outcomes of the two groups using the Kaplan-Meier method. Next, we employed the least absolute shrinkage and selection operator (LASSO) regression and Cox regression to identify prognostic factors for GB-NENs and constructed two nomograms for predicting prognosis. These nomograms were validated with an internal validation dataset from the SEER database and an external validation dataset from a hospital. Finally, we categorized patients into high-risk and low-risk groups based on their overall survival (OS) scores.

Results

A total of 7,105 patients were enrolled in the study, comprising 287 GB-NENs patients and, 6,818 GB-ADCs patients. There were substantial differences in clinical characteristics between patients, and GB-NENs exhibited a significantly better prognosis. Even after balancing these differences using PSM, the superior prognosis of GB-NENs remained evident. Independent prognostic factors selected through LASSO and Cox regression were age, histology type, first primary malignancy, tumor size, and surgery. Two nomograms for prognosis were developed based on these factors, and their performance was verified from three perspectives: discrimination, calibration, and clinical applicability using training, internal validation, and external validation datasets, all of which exhibited excellent validation results. Using a cutoff value of 166.5 for the OS nomogram score, patient mortality risk can be identified effectively.

Conclusion

Patients with GB-NENs have a better overall prognosis compared to those with GB-ADCs. Nomograms for GB-NENs prognosis have been effectively established and validated, making them a valuable tool for assessing the risk of mortality in clinical practice.

Ownership and Interoperability Challenges of Alzheimer Monoclonal Antibody Registries

This Viewpoint addresses the challenges that the Centers for Medicare and Medicaid Services faces to collect real-world data on the effectiveness and safety of lecanemab from external registries to achieve its coverage with evidence development objectives.

Gross total resection and survival outcomes in elderly patients with spinal chordoma: a SEER-based analysis

Objective

The association between aggressive resection and improved survival for adult spinal chordoma patients has not been well characterized in the geriatric population. Thus, the present study aimed to elucidate the relationship between gross total resection (GTR) and survival outcomes for patients across different age groups.

Methods

The authors isolated all adult patients diagnosed with spinal chordoma from the 2000-2019 Surveillance, Epidemiology, and End Results database and divided patients into three surgical subgroups: no surgery, subtotal resection (STR), and GTR. Kaplan-Meier curves with a log-rank test were used to discern differences in overall survival (OS) between surgical subgroups. Univariate and multivariate analyses were used to identify prognostic factors of mortality.

Results

There were 771 eligible patients: 227 (29.4%) received no surgery, 267 (34.6%) received STR, and 277 (35.9%) received GTR. Patients receiving no surgery had the lowest 5-year OS (45.2%), 10-year OS (17.6%), and mean OS (72.1 months). After stratifying patients by age, our multivariate analysis demonstrated that patients receiving GTR aged 40-59 (HR=0.26, CI=0.12-0.55, p<0.001), 60-79 (HR=0.51, CI=0.32-0.82, p=0.005), and 80-99 (HR=0.14, CI=0.05-0.37, p<0.001) had a lower risk of mortality compared to patients undergoing no surgery. The frequency of receiving GTR also decreased as a function of age (16.4% [80-99 years] vs. 43.2% [20-39 years]; p<0.001), but the frequency of receiving radiotherapy was comparable across all age groups (48.3% [80-99 years] vs. 45.5% [20-39 years]; p=0.762).

Conclusion

GTR is associated with improved survival for middle-aged and elderly patients with spinal chordoma. Therefore, patients should not be excluded from aggressive resection on the basis of age alone. Rather, the decision to pursue surgery should be decided on an individual basis.

Transcription Silencing and CpGs Hypermethylation as Therapeutic Gene Editing in Clinical Colorectal Adenocarcinoma Repression

Background/Aims

Colorectal cancer is the most common cancer in oncopathology, with an increasing incidence among the elderly during the last decade. Various genetic and environmental factors play important roles in the emergence of colorectal adenocarcinoma. Non-coding RNAs, approximately 20-22 nucleotides, are transcribed irregularly in many cancer cells and play a critical role in many metabolic pathways in clinical cancer cases. DNA methylation is a critical epigenetic alteration that controls gene expression. In the current study, transcriptional silencing and CpG hypermethylation were developed as a therapeutic gene editing strategy for the clinical repression of colorectal adenocarcinoma.

Methods

A human colorectal adenocarcinoma cell line (Caco2) and a normal lung fibroblast cell line (Wi38) were utilized as the paradigms in this research to examine the effect of mir155 molecule transfection and CpGs-island (CGI) methylation. Cell counting was achieved using six-well and 24-well plates before transfection using a hemocytometer. The two cell lines were transfected with the mir155 agomir and antagomir molecules. The transfection efficiency, cell viability, cell IC50, and target gene expression were measured, and CGIs-methylation was achieved by bisulfate conversion.

Results

The outcomes revealed the downregulation of oncogenes (AKT1 and VCAM1 genes as cancer-associated genes) and the upregulation of tumor suppressor genes (TSGs, Tp53 and KEAP1). In addition, CpG-islands methylation showed significant blocking of the oncogene promoter regions, and the switch on of TSG promoter regions was continuous.

Conclusions

miRNA-CGI-methylation led to the regression of Caco2 cell proliferation, suggesting the potential use of RNA silencing and DNA methylation in targeted gene therapy for colorectal cancer.

Expression of PD-1 mitigates phagocytic activities TAM in osteosarcoma

The high expression of programmed death 1 (PD-1) is a hallmark of T cell exhaustion, consequently inhibiting the anti-tumor immunity, tumor-associated macrophages (TAMs) aggravate Osteosarcoma (OS) progression. However, PD-1 expression on TAMs in OS metastasis remains unclear. Here, we used scRNA-Seq of 15500 individual cells from human OS lung metastatic lesion, identified thirteen major cell clusters. Our data revealed that tumor-infiltrating lymphocytes (TILs) OS lung metastatic accompanied by accumulation of exhausted T cells and regulatory T cells (Tregs). CD3+ T cells from human OS lung metastatic exhibited lower proliferation than in primary tissue. Importantly, TAMs mainly comprise immunosuppressive M2 phenotype in OS metastasis. Mechanistically, we found that PD-1 of TAMs inhibits the phagocytic potency, further promoting the progression of OS metastasis. Therefore, the study provides a strong technical support for OS immunotherapy based on PD-1 inhibitors.

Unified fair federated learning for digital healthcare

Federated learning (FL) is a promising approach for healthcare institutions to train high-quality medical models collaboratively while protecting sensitive data privacy. However, FL models encounter fairness issues at diverse levels, leading to performance disparities across different subpopulations. To address this, we propose Federated Learning with Unified Fairness Objective (FedUFO), a unified framework consolidating diverse fairness levels within FL. By leveraging distributionally robust optimization and a unified uncertainty set, it ensures consistent performance across all subpopulations and enhances the overall efficacy of FL in healthcare and other domains while maintaining accuracy levels comparable with those of existing methods. Our model was validated by applying it to four digital healthcare tasks using real-world datasets in federated settings. Our collaborative machine learning paradigm not only promotes artificial intelligence in digital healthcare but also fosters social equity by embodying fairness.

Radical resection benefits patients suffering pancreatic ductal adenocarcinoma with liver oligometastases

Purpose

Whether patients suffering liver oligometastases from pancreatic ductal adenocarcinoma (LOPDA) should undergo surgical treatment remains controversial.

Methods

PubMed and Embase databases were systematically reviewed until 2023 June. Survival data were collected from the Kaplan-Meier curves. Safety and survival were evaluated using primary outcomes such as 1-year, 3-year, and 5-year survival rates, and 30-day mortality and morbidity. A subgroup meta-analysis was conducted to compare survival rates post-synchronous resection and resection post-neoadjuvant chemotherapy in LOPDA.

Results

Our analysis of 15 studies involving 1,818 patients (surgical group, 648 and nonsurgical group, 1,170) indicates that radical hepatectomy for LOPDA notably improved 1-year (odds ratio [OR], 3.24; 95% confidence interval [CI], 2.45-4.28; P < 0.001), 3-year (OR, 5.74; 95% CI, 3.36-8.90; P < 0.001), and 5-year (OR, 4.89; 95% CI, 2.56-9.35; P < 0.001) overall survival (OS) rates. A separate analysis of 6 studies with 750 patients demonstrated the safety of LOPDA surgery, with no increase in postoperative complications (P = 0.26 for overall morbidity and P = 0.99 for mortality) compared to the patients with no metastatic disease from the pancreatic ductal adenocarcinoma (NMPDA) group. The NMPDA group showed superior 1-year and 3-year OS rates, but not 5-year OS rates compared to the LOPDA group.

Conclusion

Surgical treatment apparently offers a survival advantage to LOPDA by comparing with nonsurgical groups in 1-, 3-, and 5-year OS rates. Radical resection for LOPDA is a safe treatment without more postoperative complications than NMPDA.

ZPR1 is an immunodiagnostic biomarker and promotes tumor progression in esophageal squamous cell carcinoma

To evaluate the potential of zinc finger protein 1 (ZPR1) as a diagnostic biomarker and explore the underlying role for esophageal squamous cell carcinoma (ESCC). A human proteome microarray was customized to identify anti-ZPR1 autoantibody, and enzyme-linked immunosorbent assay (ELISA) was adopted to assess the diagnostic performance of anti-ZPR1 autoantibody in 294 patients with ESCC and 294 normal controls. The expression of ZPR1 protein was measured by immunohistochemistry. The effect of ZPR1 on the proliferation, migration, and invasion of ESCC cells was investigated through CCK-8, wound healing, and Transwell assays. The expression level of anti-ZPR1 autoantibody (fold change = 2.77) in ESCC patients was higher than that in normal controls. The receiver operating characteristic (ROC) analysis manifested anti-ZPR1 autoantibody achieved area under the ROC curve (AUC) of 0.726 and 0.734 to distinguish ESCC from normal controls with sensitivity of 50.0% and 42.3%, and specificity of 91.0% and 92.0% in the test group and validation group, respectively. The positive rate of ZPR1 protein was significantly higher in ESCC tissues (75.5%, 80/106) than paracancerous tissues (9.4%, 5/53). Compared with the human normal esophageal cell line, the expression level of ZPR1 mRNA and protein in ESCC lines (KYSE150, Eca109, and TE1) had an increased trend. The knockdown or overexpression of ZPR1 reduced and enhanced the proliferation, migration, and invasion of ESCC cell, respectively. ZPR1 was a potential immunodiagnostic biomarker for noninvasive detection and could be a promotional factor in tumor progression of ESCC.

Stereotactic Body Radiotherapy Reirradiation Is Safe in Patients With Lung Cancer With In-Field Enlarged Tumor Recurrence

Introduction: Recurrence after stage III lung cancer treatment usually appears with a poor prognosis, and salvage therapy for these patients is challenging, with limited data for reirradiation. Materials and Methods: Fifteen patients with recurrent stage III lung cancer treated with stereotactic body radiotherapy (SABR) between October 2013 and December 2017 were retrospectively evaluated for local control as a first endpoint; overall survival, disease-free survival, and treatment-related toxicity were secondary endpoints. Results: The median age was 68 (IQR: 50-71) years, and the median tumor size was 3.3 cm (IQR: 3.0-4.5). The radiation field was all within the previous radiation (previous 80%-90% isodose line), and the median dose was 66 Gy/(2 Gy × 33 standard fractionation). For SABR, the median biologically effective dose at an α/β ratio of 10 (BED10) was 60.0 Gy (IQR: 39.38-85.0) and given in 3 to 5 fractions. Three patients experienced grade 3 or 4 toxicity but none experienced grade 5. The median follow-up period was 14 (IQR: 10-23) months. The local control rate was found as 86.7% in the first year, 80% in the second year, and 80% in the third year. The median disease-free survival was 8 (IQR: 6-20) months and the median overall survival was 14 (IQR: 10-23) months. The rate of overall survival was 66.6% for the first year and 33.3% for the second and third years. The disease-free survival rate was 46.6% for the first year and 40% for the second and third years. Nine patients who received doses of BED10 ≥ 50 Gy developed no local recurrence (P  =  .044). Discussion: In local local-regional recurrence of lung cancer, radiosurgery as reirradiation can be used at doses of BED10 ≥ 50 Gy and above to provide local control for radical or palliative purposes. SABR is an important and relatively safe treatment option in such recurrences.

Impact of Social Disparities on 5-Year Survival Rates in Pediatric Hematologic Malignancies

BACKGROUND

Socioeconomic disparities exist in pediatric patients with hematologic malignancies, leading to suboptimal survival rates. Social determinants of health impact health outcomes, and in children, they may not only lead to worse survival outcomes but carry over into late effects in adult life. The social deprivation index (SDI) is a composite score using geographic county data to measure social determinants of health. Using the SDI, the purpose of the present study is to stratify survival outcomes in pediatric patients with hematologic malignancies based on area deprivation.

METHODS

A retrospective cohort study was performed using the national Surveillance, Epidemiology, and End Results oncology registry in the USA from 1975 to 2016 based on county-level data. Pediatric patients (≤18 y old) with a diagnosis of leukemia or lymphoma based on the International Classification for Oncology, third edition (ICD-O-3) were used for inclusion criteria. Patients were grouped by cancer subtype for leukemia into acute lymphoblastic leukemia (ALL) and acute myeloid leukemia while for lymphoma into non-Hodgkin's lymphoma and Hodgkin's lymphoma. SDI scores were calculated for each patient and divided into quartiles, with Q1 being the lowest area of deprivation and Q4 being the highest, respectively.

RESULTS

A total of 38,318 leukemia and lymphoma patients were included. Quartile data demonstrated stratification in survival based on area deprivation for ALL, with no survival differences in the other cancer subtypes. Patients with ALL from the most deprived area had a roughly 3% difference in both overall and cancer-specific morality at 5 years compared with the least deprived area.

CONCLUSION

Disparities in pediatric patients with ALL represent a significant area for quality improvement. Social programs may have value in improving survival outcomes and could rely on metrics such as SDI.

The NeuroPoint alliance SRS & tumor QOD registries

OBJECTIVE

Along with the increasing interest in real-world evidence in neuro-oncology, the deficiencies of prior population-based and quality registries became evident. The neuro-oncological quality registries of the NeuroPoint Alliance (NPA) focus on neuro-oncological surgery and stereotactic radiosurgery (SRS) and aim to fill the gaps of neuro-oncological practice in quality surveillance and real-world research.

METHODS

Herein, we discuss the historical background, design process, and features of the NPA SRS and Tumor QOD registries. The registries'current status and future directions are outlined.

RESULTS

The NPA SRS and Tumor QOD registries were designed based on the principles of prospective multi-institutional data collection, central auditing for data quality, and focus on patient-reported outcomes (PROs). Currently, the registries include over 4,500 and 2,500 patients each, with caseloads comprising predominantly of brain metastases and primary extra-axial tumors, respectively. The registries serve both as a quality surveillance and improvement tool - providing participating sites with adjusted quality reports - and as platforms for real-world research of observational and, potentially, interventional nature. Future directions of the NPA neuro-oncological registries include the functional communications of the two registries and the incorporation of imaging analyses in the workflow of quality assessment and research efforts.

CONCLUSIONS

The NPA SRS and Tumor QOD registries are quality registries of unique granularity in terms of surgical variables and postoperative outcomes. They constitute increasingly valuable data sources for real-time quality surveillance of participating sites and real-world research.

Location Has Prognostic Impact on the Outcome of Colorectal Mucinous Adenocarcinomas

Mucinous (colloid) adenocarcinomas (MAs) are a rare histological subtype of tumors defined by extracellular mucin comprising more than 50% of the tumor. These tumors are on a continuum of mucin-producing malignancies with signet ring cell adenocarcinomas (SRCCs), which instead produce intracellular mucin. Mucin-containing cancers occur primarily in the stomach and colon, where for SRCCs, outcomes are relatively worse in the proximal stomach and the rectum. It is not known if MAs have similar outcomes. In this study, we use the Surveillance, Epidemiology, and End Results (SEER) database to examine the effects of tumor localization, age, sex, and stage on colorectal and gastric cancer outcomes for MAs. For right colon cancers, MAs are more common, particularly in females, and have slightly better or equivalent outcomes across all stages and ages compared to conventional adenocarcinomas, but outcomes are progressively worse compared to conventional adenocarcinomas for left colon and rectal cancers. Unlike SRCCs, MAs have similar outcomes to conventional adenocarcinomas in all stomach locations. Overall, these results suggest that MAs have an intrinsically different tumor biology in the left colon and rectum that promotes pathogenesis. Decoding this phenomenon could lead to more effectively tailored patient treatment regimens.

GNL3L promotes autophagy via regulating AMPK signaling in esophageal cancer cells

Guanine nucleotide-binding protein-like 3-like (GNL3L), a conserved GTP-binding nucleolar protein, participates in regulating cell proliferation, and associates with tumorigenesis and poor prognosis in several kind of cancers. However, the role of GNL3L in modulating autophagy remains unclear. Here, we verified that GNL3L was higher expressed in esophageal cancer (ESCA) biopsies than that in the corresponding normal biopsies by a human ESCA tissue array. Utilizing immunoblotting and real-time PCR assays, we analyzed the expression of GNL3L in several ESCA cell lines, and it was highly expressed in KYSE410 cells and rarely expressed in KYSE150 cells, respectively. GNL3L overexpression promoted cell viability and cell proliferation in KYSE150 cells. On the contrary, silencing of GNL3L resulted in opposite phenotypes in KYSE410 cells. Furthermore, GNL3L level correlated with autophagic flux and influenced the levels of autophagy core proteins. Meanwhile, GNL3L also affected the AMPK signaling pathway, which is a pivotal signaling pathway for autophagy regulation. In the GNL3L-silenced cells, the AMPK agonist AICAR partly rescued the autophagic flux. Inversely, both pharmacologically and genetically deprivation of AMPK attenuated the autophagic flux induced by GNL3L overexpression. Moreover, AMPK activity alteration influenced the effect of GNL3L in regulating cell proliferation. Collectively, these findings suggest that GNL3L positively regulates cell proliferation and autophagy in ESCA cells via regulating the AMPK signaling, making itself a promising therapeutic target for ESCA.

Racial and ethnic minorities in lower income brackets are associated with late-stage diagnosis of non-ocular melanoma

INTRODUCTION

Despite advances in oncologic care, racial and socio-economic outcome disparities persist in non-ocular melanoma patients. However, the unmet need is understanding the population at risk for late tumor stage at diagnosis. We sought to analyze the groups with an increased risk of unfavorable tumor stage at diagnosis.

METHODS

Patients with non-ocular melanoma were reviewed using the 2000-2019 SEER Research Data (SEER*Stat) and grouped into early tumor stage at diagnosis (stage I-IIC) and late (stage III-IVC). Multivariable logistic and Cox regression examined the association of demographic, socioeconomic, and clinical factors with late-stage diagnosis and overall survival, respectively. Kaplan-Meier estimates were calculated with racial and county-level household income stratification to evaluate overall survival differences.

RESULTS

Of 147,606 patients diagnosed with non-ocular melanoma, 38,695 cases were identified based on inclusion and exclusion criteria and separated into those with early-stage diagnosis (median 63 years) and those with late-stage (median 62 years). Male gender, Black race, Asian or Pacific Islander race, and Hispanic ethnicity were significantly associated with late-stage tumor diagnosis (p < 0.001). Receipt of surgery and a median county-level household income >$75,000 were protective for late-stage tumor diagnosis (p < 0.001). Additionally, male gender, Black, Asian or Pacific Islander, American Indian/Alaskan Native races, metastasis, and late-stage diagnosis were associated with factors significantly associated with decreased overall survival (p-value <0.001). Receipt of surgery and a median household income of $50,000-$74,999 and >$75,000 were factors associated with increased overall survival (p < 0.001). The median overall survival was 89 months, but Black patients (58 months) and <$50,000 income households (75 months) had significantly worse survival (p < 0.001).

CONCLUSIONS

Hispanic ethnicity, Black and Asian or Pacific Islander race, and low-income households were associated with late-stage non-ocular melanoma at diagnosis. Black, Asian or Pacific Islander and American Indian/Alaskan Native races and lower-income households were associated with worse overall survival. Identifying addressable causal factors that link this at-risk population to poor cancer prognosis is warranted.

Differences of characteristics, influencing factors, and treatment effects on the survival in patients with first and second primary cervical cancer

To explore the characteristics, influencing factors, and effect of different treatments on the survival in patients with first primary cervical cancer (CC) and second primary CC. Data of 33,934 eligible patients with CC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database in 2004-2015. We also included 176 patients with CC from the Affiliated Dongyang Hospital of Wenzhou Medical University. Univariate and multivariate Cox proportional hazard models were used to screen the potential influencing factors associated with the survival in patients with hazard ratios (HRs) and 95 % confidence intervals (CIs). Subgroup analyses of age, American Joint Committee on Cancer (AJCC) stages, tumor grades and histologic types were conducted to explore the association between different treatments and survival in different populations. The 5-year mortality was 43.08 % for patients with first primary CC and that was 58.13 % for patients with second primary CC. We found that the relationships between age, histologic type, tumor grade, tumor size, AJCC tumor-node-metastasis (TNM) stage, surgery, chemotherapy, radiotherapy and the first primary CC and second primary CC were different (all P < 0.05). Additionally, the results of subgroup analyses indicated that the choice of surgery, chemotherapy, and radiotherapy should be adjusted according to the different health conditions of the patients. In conclusion, the causal relationship between characteristics, influencing factors, and treatments and survival in patients with primary CC diagnosed as different time periods are needed further exploration.

Magnifying image-enhanced endoscopy-only mode boosted early cancer diagnostic efficiency: a multicenter randomized controlled trial

BACKGROUND AND AIMS

Magnifying image-enhanced endoscopy (MIEE) is an advanced endoscopy with image enhancement and magnification used in preoperative examination. However, its impact on the detection rate is unknown.

METHODS

We conducted an open-label, randomized, parallel (1:1:1), controlled trial in 6 hospitals in China. Patients were recruited between February 14, 2022 and July 30, 2022. Eligible patients were aged ≥18 years and undergoing gastroscopy in outpatient departments. Participants were randomly assigned to the MIEE-only mode (o-MIEE) group, white-light endoscopy-only mode (o-WLE) group, and MIEE when necessary mode (n-MIEE) group (initial WLE followed by switching to another endoscope with MIEE if necessary). Biopsy sampling of suspicious lesions of the lesser curvature of the gastric antrum was performed. Primary and secondary aims were to compare detection rates and positive predictive value (PPV) of early cancer and precancerous lesions in these 3 modes, respectively.

RESULTS

A total of 5100 recruited patients were randomly assigned to the o-MIEE (n = 1700), o-WLE (n = 1700), and n-MIEE (n = 1700) groups. In the o-MIEE, o-WLE, and n-MIEE groups, 29 (1.51%; 95% confidence interval [CI], 1.05-2.16), 4 (.21%; 95% CI, .08-.54), and 8 (.43%; 95% CI, .22-.85) early cancers were found, respectively (P < .001). The PPV for early cancer was higher in the o-MIEE group compared with the o-WLE and n-MIEE groups (63.04%, 33.33%, and 38.1%, respectively; P = .062). The same trend was seen for precancerous lesions (36.67%, 10.00%, and 21.74%, respectively).

CONCLUSIONS

The o-MIEE mode resulted in a significant improvement in diagnosing early upper GI cancer and precancerous lesions; thus, it could be used for opportunistic screening. (Clinical trial registration number: ChiCTR2200064174.).

Temporal trend in survival for chronic myelomonocytic leukemia in the US: a population-based study

Outcomes for chronic myelomonocytic leukemia (CMML) are insufficiently characterized at the population level. We analyzed epidemiological trends for patients between 2001 and 2017, focusing on age, sex, race, and long-term survivors. Using the Surveillance, Epidemiology, and End Results Program, we studied 3929 patients, in four time-period (tp) cohorts, based on year of diagnosis [2001-2004 (tp1); 2005-2009 (tp2); 2010-2013 (tp3); 2014-2017 (tp4)]. Stable incidence overall, male predominance, and higher incidence for White versus Black and 'Other' races were noted. Three-year relative survival (RS) increased from 27.9% to 36.9% between tp1 and tp4. The most pronounced increase occurred between tp1 and tp2. All subgroups generally experienced RS improvements over time, except notably Black patients. Improvements for patients aged 85+ (3-year RS 8.4-23.6% between tp1 and tp4) and increases in long-term survivors (5-year OS from 13.2-22.3%) were observed. Additional study is warranted to explore these associations, particularly for Black patients.

Ovarian cancer disease burden decreased in the United States from 1975 to 2018: A joinpoint and age-period-cohort analysis

Ovarian cancer (OC) is the leading cause of gynecological cancer-related deaths in the United States. The purpose of this study was to evaluate long-term trends in OC incidence and incidence-based mortality rates (IBM) in the U.S. from 1975 to 2018 and to assess the effects of age, period, and cohort factors on OC incidence and mortality using an age-period-cohort model. We obtained data from the U.S. OC incidence/mortality data from the Surveillance, Epidemiology, and End Results database from 1975 to 2018. Joinpoint regression analysis was used to determine long-term trends and transitions, and an age-period-cohort model was used to quantify the effects of age, period, and cohort parameters on incidence and mortality. In addition, 1990 to 2019 U.S. OC data obtained from the Global Burden of Disease study served as a potential validation set. Between 1975 and 2018, 80,622 new cases of OC and 60,218 deaths from OC were reported in the U.S. The average annual percent change for OC incidence was -1.33 (95% CI: -1.64 to -1.02, P < .001), with a significant decrease in incidence at a rate of 7.80% (95% CI: -11.52 to -3.92) per year from to 2015-2018. IBM reached its peak for the U.S. population in 1994, with an age-standardized mortality rate of 6.38 (per 100,000 people). IBM rose first, peaked in 1986, and then declined at a rate of 0.39% (95% CI: -0.66 to -0.12) and 2.48% (95% CI: -3.09 to -1.85) per year from to 1986-2007 and 2007-2018, respectively. In addition, age-period-cohort model analysis showed the highest risk of OC incidence in 1980 to 1984 and the highest risk of OC death in 1985-1989. This study reported a significant decline in OC morbidity and mortality in the U.S. since 1986. In addition, this study analyzed the changes in trends in OC incidence and mortality by race/ethnicity in the U.S. Monitoring trends in OC incidence and mortality by race/ethnicity can help in the development of targeted prevention and treatment measures.

Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study

BACKGROUND

Cutaneous malignant melanoma (CMM) has the worst prognosis among skin cancers, especially metastatic CMM. Predicting its prognosis accurately could direct clinical decisions.

METHODS

The Surveillance, Epidemiology, and End Results database was screened to collect CMM patients' data. According to diagnosed time, patients were subdivided into three cohorts, train cohort (diagnosed between 2010 and 2013), validation cohort (diagnosed in 2014), and test cohort (diagnosed in 2015). Train cohort was used to train deep learning survival model for cutaneous malignant melanoma (DeepCMM). DeepCMM was then evaluated in train cohort and validation cohort internally, and validated in test cohort externally.

RESULTS

DeepCMM showed 0.8270 (95% CI, confidence interval, CI 0.8260-0.8280) as area under the receiver operating characteristic curve (AUC) in train cohort, 0.8274 (95% CI 0.8286-0.8298) AUC in validation cohort, and 0.8303 (95% CI 0.8289-0.8316) AUC in test cohort. Then DeepCMM was packaged into a Windows 64-bit software for doctors to use.

CONCLUSION

Deep learning survival model for cutaneous malignant melanoma (DeepCMM) can offer a reliable prediction on cutaneous malignant melanoma patients' overall survival.

A population-based study on incidence trends of myeloma in the United States over 2000-2020

Myeloma is one of the most common types of haematological malignancies. We aimed to investigate the incidence rates of myeloma by sex, race, age, and histological subgroups in the United States (US) over 2000-2020. Data were retrieved from the the Surveillance, Epidemiology, and End Results (SEER) 22 database. The International Classification of Diseases for Oncology version 3 morphological codes 9731, 9732, and 9734 were assigned for solitary plasmacytoma of bone, plasma cell myeloma, and extraosseous plasmacytoma, respectively. Average annual percent change (AAPC) and the pairwise comparison with the parallelism and coincidence were reported. All estimates were reported as counts and age-adjusted incidence rates per 100,000 individuals. Over 2000-2019, most of myeloma cases were among those aged at least 55 years (85.51%), men (54.82%), and non-Hispanic Whites (66.67%). Among different subtypes, plasma cell myeloma with 193,530 cases had the highest frequency over the same period. Also, there was a significant decrease in the age-standardized incidence rate of myeloma across all races/ethnicities in both sexes within all age groups (AAPC: - 8.02; 95% confidence interval (CI): - 10.43 to - 5.61) and those aged < 55 (AAPC: - 8.64; 95% CI - 11.02 to - 6.25) from 2019 to November 2020. The overall trends of myeloma incidence rates were not parallel, nor identical. There was an increase in myeloma incidence in both sexes, with a highly increasing rate, particularly among younger Hispanic and non-Hispanic Black women over 2000-2019. However, a remarkable decline was observed in the incidence rates following the COVID-19 pandemic in 2020.