Socio-economic factors affect the outcome of soft tissue sarcoma: an analysis of SEER data

Sociodemographic and Socioeconomic Factors Correlate with Late-Stage Pediatric Hodgkin Lymphoma and Rhabdomyosarcoma: A Report from the Children's Oncology Group Registries

BACKGROUND

We examined the association between late-stage diagnosis and individual- and community-level sociodemographic and socioeconomic characteristics among patients with pediatric Hodgkin lymphoma and rhabdomyosarcoma (RMS).

METHODS

We obtained Children's Oncology Group data from 1999 to 2021 including summary stage [local (L), regional (R), and distant (D)], tumor subtype, demographics, and ZIP Code at diagnosis. We linked ZIP Codes to county-level redlining scores (C, D = greatest redlining), the Child Opportunity Index, and measures of segregation (racial dissimilarity indices). Logistic regressions calculated odds ratios for late-stage diagnosis and by race within tumor subtype.

RESULTS

In total, 5,956 patients with Hodgkin lymphoma and 2,800 patients with RMS were included. Late-stage diagnosis of Hodgkin lymphoma was correlated with Black race [ORDistant(D) vs. regional/local (R&L) = 1.38 (1.13-1.68)], being uninsured [ORD vs. R&L = 1.38 (1.09-1.75)], and subtype [nodular sclerosis vs. Other Hodgkin lymphoma: ORD vs. R&L = 1.64 (1.34-2.01), Untyped: ORD vs. R&L = 1.30 (1.04-1.63)]. Late-stage RMS was correlated with bilingual households [ORDistant/regional(D&R) vs. local(L) = 2.66 (1.03-6.91)] and tumor type [alveolar vs. embryonal ORD vs. R&L = 6.16 (5.00-7.58)]. Community-level factors associated with late-stage Hodgkin lymphoma were greater Black (OR80-100% = 1.83; 95% CI = 1.11-3.02) and Hispanic (OR60-79% = 1.30; 95% CI = 1.05-1.60) dissimilarity indices. Late-stage diagnosis for RMS was associated with more redlined census tracts within counties (OR = 1.54; 95% CI = 1.02-2.35) and low/very low Child Opportunity Index (OR = 1.21; 95% CI = 1.02-1.45).

CONCLUSIONS

Novel markers of community deprivation, such as redlining and racial segregation, were correlated with cancer outcomes for children with Hodgkin lymphoma and RMS in this first disparities study using Children's Oncology Group registries.

IMPACT

The interplay of multilevel risk factors provides important consideration for efforts to improve early detection of pediatric cancer diagnosis.

Is the Number of National Database Research Studies in Musculoskeletal Sarcoma Increasing, and Are These Studies Reliable?

BACKGROUND

Large national databases have become a common source of information on patterns of cancer care in the United States, particularly for low-incidence diseases such as sarcoma. Although aggregating information from many hospitals can achieve statistical power, this may come at a cost when complex variables must be abstracted from the medical record. There is a current lack of understanding of the frequency of use of the Surveillance, Epidemiology, and End Results (SEER) database and the National Cancer Database (NCDB) over the last two decades in musculoskeletal sarcoma research and whether their use tends to produce papers with conflicting findings.

QUESTIONS/PURPOSES

(1) Is the number of published studies using the SEER and NCDB databases in musculoskeletal sarcoma research increasing over time? (2) What are the author, journal, and content characteristics of these studies? (3) Do studies using the SEER and the NCDB databases for similar diagnoses and study questions report concordant or discordant key findings? (4) Are the administrative data reported by our institution to the SEER and the NCDB databases concordant with the data in our longitudinally maintained, physician-run orthopaedic oncology dataset?

METHODS

To answer our first three questions, PubMed was searched from 2001 through 2020 for all studies using the SEER or the NCDB databases to evaluate sarcoma. Studies were excluded from the review if they did not use these databases or studied anatomic locations other than the extremities, nonretroperitoneal pelvis, trunk, chest wall, or spine. To answer our first question, the number of SEER and NCDB studies were counted by year. The publication rate over the 20-year span was assessed with simple linear regression modeling. The difference in the mean number of studies between 5-year intervals (2001-2005, 2006-2010, 2011-2015, 2016-2020) was also assessed with Student t-tests. To answer our second question, we recorded and summarized descriptive data regarding author, journal, and content for these studies. To answer our third question, we grouped all studies by diagnosis, and then identified studies that shared the same diagnosis and a similar major study question with at least one other study. We then categorized study questions (and their associated studies) as having concordant findings, discordant findings, or mixed findings. Proportions of studies with concordant, discordant, or mixed findings were compared. To answer our fourth question, a coding audit was performed assessing the concordance of nationally reported administrative data from our institution with data from our longitudinally maintained, physician-run orthopaedic oncology dataset in a series of patients during the past 3 years. Our orthopaedic oncology dataset is maintained on a weekly basis by the senior author who manually records data directly from the medical record and sarcoma tumor board consensus notes; this dataset served as the gold standard for data comparison. We compared date of birth, surgery date, margin status, tumor size, clinical stage, and adjuvant treatment.

RESULTS

The number of musculoskeletal sarcoma studies using the SEER and the NCDB databases has steadily increased over time in a linear regression model (β = 2.51; p < 0.001). The mean number of studies per year more than tripled during 2016-2020 compared with 2011-2015 (39 versus 13 studies; mean difference 26 ± 11; p = 0.03). Of the 299 studies in total, 56% (168 of 299) have been published since 2018. Nineteen institutions published more than five studies, and the most studies from one institution was 13. Orthopaedic surgeons authored 35% (104 of 299) of studies, and medical oncology journals published 44% (130 of 299). Of the 94 studies (31% of total [94 of 299]) that shared a major study question with at least one other study, 35% (33 of 94) reported discordant key findings, 29% (27 of 94) reported mixed key findings, and 44% (41 of 94) reported concordant key findings. Both concordant and discordant groups included papers on prognostic factors, demographic factors, and treatment strategies. When we compared nationally reported administrative data from our institution with our orthopaedic oncology dataset, we found clinically important discrepancies in adjuvant treatment (19% [15 of 77]), tumor size (21% [16 of 77]), surgery date (23% [18 of 77]), surgical margins (38% [29 of 77]), and clinical stage (77% [59 of 77]).

CONCLUSION

Appropriate use of databases in musculoskeletal cancer research is essential to promote clear interpretation of findings, as almost two-thirds of studies we evaluated that asked similar study questions produced discordant or mixed key findings. Readers should be mindful of the differences in what each database seeks to convey because asking the same questions of different databases may result in different answers depending on what information each database captures. Likewise, differences in how studies determine which patients to include or exclude, how they handle missing data, and what they choose to emphasize may result in different messages getting drawn from large-database studies. Still, given the rarity and heterogeneity of sarcomas, these databases remain particularly useful in musculoskeletal cancer research for nationwide incidence estimations, risk factor/prognostic factor assessment, patient demographic and hospital-level variable assessment, patterns of care over time, and hypothesis generation for future prospective studies.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Rural-Urban Disparities in Cancer Outcomes: Opportunities for Future Research

Cancer care disparities among rural populations are increasingly documented and may be worsening, likely because of the impact of rurality on access to state-of-the-art cancer prevention, diagnosis, and treatment services, as well as higher rates of risk factors such as smoking and obesity. In 2018, the American Society of Clinical Oncology undertook an initiative to understand and address factors contributing to rural cancer care disparities. A key pillar of this initiative was to identify knowledge gaps and promote the research needed to understand the magnitude of difference in outcomes in rural vs nonrural settings, the drivers of those differences, and interventions to address them. The purpose of this review is to describe continued knowledge gaps and areas of priority research to address them. We conducted a comprehensive literature review by searching the PubMed (Medline), Embase, Web of Science, and Cochrane Library databases for studies published in English between 1971 and 2021 and restricted to primary reports from populations in the United States and abstracted data to synthesize current evidence and identify continued gaps in knowledge. Our review identified continuing gaps in the literature regarding the underlying causes of rural-urban disparities in cancer outcomes. Rapid advances in cancer care will worsen existing disparities in outcomes for rural patients without directed effort to understand and address barriers to high-quality care in these areas. Research should be prioritized to address ongoing knowledge gaps about the drivers of rurality-based disparities and preventative and corrective interventions.

No Geographical Inequalities in Survival for Sarcoma Patients in France: A Reference Networks' Outcome?

The national reference network NETSARC+ provides remote access to specialized diagnosis and the Multidisciplinary Tumour Board (MTB) to improve the management and survival of sarcoma patients in France. The IGéAS research program aims to assess the potential of this innovative organization to address geographical inequalities in cancer management. Using the IGéAS cohort built from the nationwide NETSARC+ database, the individual, clinical, and geographical determinants of the 3-year overall survival of sarcoma patients in France were analyzed. The survival analysis was focused on patients diagnosed in 2013 (n = 2281) to ensure sufficient hindsight to collect patient follow-up. Our study included patients with bone (16.8%), soft-tissue (69%), and visceral (14.2%) sarcomas, with a median age of 61.8 years. The overall survival was not associated with geographical variables after adjustment for individual and clinical factors. The lower survival in precarious population districts [HR 1.23, 95% CI 1.02 to 1.48] in comparison to wealthy metropolitan areas (HR = 1) found in univariable analysis was due to the worst clinical presentation at diagnosis of patients. The place of residence had no impact on sarcoma patients' survival, in the context of the national organization driven by the reference network. Following previous findings, this suggests the ability of this organization to go through geographical barriers usually impeding the optimal management of cancer patients.

Socio-economic factors do not affect overall survival in soft tissue sarcoma when patients treated at a single high-volume center

BACKGROUND

Treatments for soft tissue sarcoma (STS) include extensive surgical resection, radiation and chemotherapy, and can necessitate specialized care and excellent social support. Studies have demonstrated that socioeconomic factors, such as income, marital status, urban/rural residence, and educational attainment as well as treatment at high-volume institution may be associated with overall survival (OS) in STS.

METHODS

In order to explore the effect of socio-economic factors on OS in patients treated at a high-volume center, we performed a retrospective analysis of STS patients treated at a single institution.

RESULTS

Overall, 435 patients were included. Thirty-seven percent had grade 3 tumors and 44% had disease larger than 5 cm. Patients were most commonly privately insured (38%), married (67%) and retired or unemployed (43%). Median distance from the treatment center was 42 miles and median area deprivation index (ADI) was 5 (10 representing most deprived communities). The majority of patients (52%) were treated with neoadjuvant therapy followed by resection. As expected, higher tumor grade (HR 3.1), tumor size > 5 cm (HR 1.3), and involved lymph nodes (HR 3.2) were significantly associated with OS on multivariate analysis. Demographic and socioeconomic factors, including sex, age at diagnosis, marital status, employment status, urban vs. rural location, income, education, distance to the treatment center, and ADI were not associated with OS.

CONCLUSIONS

In contrast to prior studies, we did not identify a significant association between socioeconomic factors and OS of patients with STS when patients were treated at a single high-volume center. Treatment at a high volume institution may mitigate the importance of socio-economic factors in the OS of STS.

Development of machine learning model algorithm for prediction of 5-year soft tissue myxoid liposarcoma survival

BACKGROUND

Predicting survival in myxoid liposarcoma (MLS) patients is very challenging given its propensity to metastasize and the controversial role of adjuvant therapy. The purpose of this study was to develop a machine-learning algorithm for the prediction of survival at five years for patients with MLS and externally validate it using our institutional cohort.

METHODS

Two databases, the surveillance, epidemiology, and end results program (SEER) database and an institutional database, were used in this study. Five machine learning models were created based on the SEER database and performance was rated using the TRIPOD criteria. The model that performed best on the SEER data was again tested on our institutional database.

RESULTS

The net-elastic penalized logistic regression model was the best according to our performance indicators. This model had an area under the curve (AUC) of 0.85 when compared to the SEER testing data and an AUC of 0.76 when tested against institutional database. An application to use this calculator is available at https://sorg-apps.shinyapps.io/myxoid_liposarcoma/.

CONCLUSION

MLS is a soft-tissue sarcoma with adjunct treatment options that are, in part, decided by prognostic survival. We developed the first machine-learning predictive algorithm specifically for MLS using the SEER registry that retained performance during external validation with institutional data.

Racial Differences in Extremity Soft Tissue Sarcoma Treatment in a Universally Insured Population

BACKGROUND

In prior reports from population-based databases, black patients with extremity soft tissue sarcoma (ESTS) have lower reported rates of limb-sparing surgery and adjuvant treatment. The objective of this study was to compare the multimodality treatment of ESTS between black and white patients within a universally insured and equal-access health care system.

METHODS

Claims data from TRICARE, the US Department of Defense insurance plan that provides health care coverage for 9 million active-duty personnel, retirees, and dependents, were queried for patients younger than 65 y with ESTS who underwent limb-sparing surgery or amputation between 2006 and 2014 and identified as black or white race. Multivariable logistic regression analysis was used to evaluate the impact of race on the utilization of surgery, chemotherapy, and radiation.

RESULTS

Of the 719 patients included for analysis, 605 patients (84%) were white and 114 (16%) were black. Compared with whites, blacks had the same likelihood of receiving limb-sparing surgery (odds ratio [OR], 0.861; 95% confidence interval [95% CI], 0.284-2.611; P = 0.79), neoadjuvant radiation (OR, 1.177; 95% CI, 0.204-1.319; P = 0.34), and neoadjuvant (OR, 0.852; 95% CI, 0.554-1.311; P = 0.47) and adjuvant (OR, 1.211; 95% CI, 0.911-1.611; P = 0.19) chemotherapy; blacks more likely to receive adjuvant radiation (OR, 1.917; 95% CI, 1.162-3.162; P = 0.011).

CONCLUSIONS

In a universally insured population, racial differences in the rates of limb-sparing surgery for ESTS are significantly mitigated compared with prior reports. Biologic or disease factors that could not be accounted for in this study may contribute to the increased use of adjuvant radiation among black patients.

Adult Urological Soft Tissue Sarcomas: A Multicenter Study of the Anatolian Society of Medical Oncology (ASMO)

OBJECTIVE

To analyze clinicopathological characteristics, prognostic factors and survival rates of the patients with urological soft tissue sarcomas treated and followed up in Turkey.

MATERIALS AND METHODS

For overall survival analyses the Kaplan-Meier method was used. From medical records, nine prognostic factors on overall survival were analysed.

RESULTS

For the 53 patients (34 males, 19 females) whose charts were reviewed, the median age was 53 (range 22 to 83) years. Most frequently renal location (n=30; 56.6%) was evident and leiomyosarcoma (n=20, 37.7%) was the most frequently encountered histological type. Median survival time of all patients was 40.3 (95% CI, 14.2-66.3) months. In univariate analysis, male gender, advanced age (≥50 years), metastatic stage, unresectability, grade 3, renal location were determined as worse prognostic factors. In multivariate analysis, metastatic stage, unresectability and grade 3 were determined as indicators of worse prognosis.

CONCLUSIONS

Urological soft tissue sarcomas are rarely seen tumours in adults. The most important factors in survival are surgical resection, stage of the tumour at onset, grade and location of the tumour, gender and age of the patients.