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Kim KM, Lew RJ, Higashihara TJ, Yamashita S, Pang M, Stafford M, Goo C, Teehera KB, Luu K, Ho R, Carrazana E, Viereck J, Liow KK, Ghaffari-Rafi A. Differences in tumor size, clinical, demographic, and socioeconomic profiles of central nervous system tumors among a racially diverse cohort: A retrospective case-control study. Surg Neurol Int 2024; 15:459. [PMID: 39777174 PMCID: PMC11704430 DOI: 10.25259/sni_190_2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/15/2024] [Indexed: 01/11/2025] Open
Abstract
Background One avenue to improve outcomes among brain tumor patients involves the mitigation of healthcare disparities. Investigating clinical differences among brain tumors across socioeconomic and demographic strata, such can aid in healthcare disparity identification and, by extension, outcome improvement. Methods Utilizing a racially diverse population from Hawaii, 323 cases of brain tumors (meningiomas, gliomas, schwannomas, pituitary adenomas, and metastases) were matched by age, sex, and race to 651 controls to investigate the associations between tumor type and various demographic, socioeconomic, and medical comorbidities. Tumor size at the time of diagnosis was also compared across demographic groups. Results At the time of diagnosis for benign meningiomas, Native Hawaiians and Pacific Islanders (NHPI; P < 0.05), Asians, and Hispanics exhibited nearly two-fold larger tumor volumes than Whites. For gliomas, NHPI similarly presented with larger tumor volumes relative to Whites (P = 0.04) and Asians (P = 0.02), while for vestibular schwannomas, NHPI had larger tumor sizes compared to Asians (P < 0.05). Benign meningiomas demonstrated greater odds of diagnosis (P < 0.05) among Native American or Alaskan Natives, patients comorbid with obesity class I, hypertension, or with a positive Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). Malignant meningiomas demonstrated greater odds (P < 0.05) among patients from higher median household income and urban geography. Gliomas overall exhibited increased odds (P < 0.05) of diagnosis among Whites and reduced odds among Asians, with greater comorbidity with obesity class III; for glioblastoma specifically, there were reduced odds of asthma diagnosis. Patients with vestibular schwannomas were at increased odds (P < 0.05) of being from the highest income quartile and having a positive AUDIT-C, yet reduced odds of psychiatric disorders. Pituitary adenomas exhibited reduced odds of diagnosis among Whites, yet greater odds among NHPI, military personnel, obesity class I, and psychiatric disorders. Intracranial metastases were more common in patients with pre-obesity, asthma, a positive AUDIT-C, and living in more affluent regions. Benign meningiomas are most often presented with seizures, while malignant meningiomas have the addition of cognitive difficulty. Gliomas often present with seizures, cognitive difficulty, dizziness/nausea/vomiting (DNV), vestibular schwannomas with DNV, and metastases with seizures. Conclusion Brain tumors exhibit unique sociodemographic disparities and clinical comorbidities, which may have implications for diagnosis, treatment, and healthcare policy.
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Affiliation(s)
- Kyung Moo Kim
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
- East-West Center, Brain Research, Innovation and Translation Lab, Honolulu, Hawaii, USA
| | - Rachel Jane Lew
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Tate Justin Higashihara
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Shaina Yamashita
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | | | - Michelle Stafford
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Connor Goo
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | | | - Kayti Luu
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Richard Ho
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Enrique Carrazana
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jason Viereck
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
- Hawai’i Pacific Neuroscience, Brain Research, Innovation and Translation Lab, Honolulu, Hawaii, USA
| | - Kore Kai Liow
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
- Hawai’i Pacific Neuroscience, Brain Research, Innovation and Translation Lab, Honolulu, Hawaii, USA
| | - Arash Ghaffari-Rafi
- Department of Medicine, University of Hawai’i at Mānoa, John A. Burns School of Medicine, Honolulu, Hawaii, USA
- Department of Neurological Surgery, University of California, Davis School of Medicine, Sacramento, California, USA
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Family history of cancer and the risk of childhood brain tumors: a pooled analysis of the ESCALE and ESTELLE studies (SFCE). Cancer Causes Control 2019; 30:1075-1085. [PMID: 31399828 DOI: 10.1007/s10552-019-01214-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 08/05/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE Although some specific genetic syndromes such as neurofibromatosis (NF) have been identified as risk factor of childhood brain tumors (CBT), the potential role of inherited susceptibility in CBT has yet to be elucidated. METHODS To further investigate this, we conducted a pooled analysis of two nationwide case-control studies ESCALE and ESTELLE. The mothers of 509 CBT cases and 3,102 controls aged under 15 years who resided in France at diagnosis/interview, frequency-matched by age and gender, responded to a telephone interview conducted by trained interviewers. Pooled odds ratio (OR) and 95% confidence intervals (95% CI) were estimated using unconditional logistic regression. RESULTS CBT was significantly associated with the family history of cancer in relatives (OR 1.2, 95% CI 1.0-1.5). The OR was slightly higher for maternal relatives than for paternal relatives, and when at least two relatives had a history of cancer. CBT was significantly associated with a family history of brain tumor (OR 2.1, 95% CI 1.3-3.7). This association seemed stronger for first-degree relatives (mother, father, and siblings), for whom, by contrast, no association was seen for cancers other than CBT. No specificity by CBT subtypes or by age of the children were found for any of these findings. CONCLUSION Our findings support the hypothesis of a familial susceptibility of CBT, not due to being a known NF carrier.
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Lupo PJ, Danysh HE, Plon SE, Curtin K, Malkin D, Hettmer S, Hawkins DS, Skapek SX, Spector LG, Papworth K, Melin B, Erhardt EB, Grufferman S, Schiffman JD. Family history of cancer and childhood rhabdomyosarcoma: a report from the Children's Oncology Group and the Utah Population Database. Cancer Med 2015; 4:781-90. [PMID: 25809884 PMCID: PMC4430270 DOI: 10.1002/cam4.448] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2014] [Revised: 02/12/2015] [Accepted: 02/19/2015] [Indexed: 01/09/2023] Open
Abstract
Relatively little is known about the epidemiology and factors underlying susceptibility to childhood rhabdomyosarcoma (RMS). To better characterize genetic susceptibility to childhood RMS, we evaluated the role of family history of cancer using data from the largest case–control study of RMS and the Utah Population Database (UPDB). RMS cases (n = 322) were obtained from the Children's Oncology Group (COG). Population-based controls (n = 322) were pair-matched to cases on race, sex, and age. Conditional logistic regression was used to evaluate the association between family history of cancer and childhood RMS. The results were validated using the UPDB, from which 130 RMS cases were identified and matched to controls (n = 1300) on sex and year of birth. The results were combined to generate summary odds ratios (ORs) and 95% confidence intervals (CI). Having a first-degree relative with a cancer history was more common in RMS cases than controls (ORs = 1.39, 95% CI: 0.97–1.98). Notably, this association was stronger among those with embryonal RMS (ORs = 2.44, 95% CI: 1.54–3.86). Moreover, having a first-degree relative who was younger at diagnosis of cancer (<30 years) was associated with a greater risk of RMS (ORs = 2.37, 95% CI: 1.34–4.18). In the largest analysis of its kind, we found that most children diagnosed with RMS did not have a family history of cancer. However, our results indicate an increased risk of RMS (particularly embryonal RMS) in children who have a first-degree relative with cancer, and among those whose relatives were diagnosed with cancer at <30 years of age.
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Affiliation(s)
- Philip J Lupo
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Heather E Danysh
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Sharon E Plon
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Karen Curtin
- Center for Children's Cancer Research (C3R), University of Utah Health Sciences Center, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - David Malkin
- Division of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | | | - Douglas S Hawkins
- Seattle Children's Hospital, University of Washington, Seattle, Washington, USA.,Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Stephen X Skapek
- Division of Hematology/Oncology, Department of Pediatrics, University of Texas Southwestern Medical Center and Children's Medical Center, Dallas, Texas, USA
| | - Logan G Spector
- Division of Pediatric Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Karin Papworth
- Department of Radiation Sciences, Oncology, Umeå University, Umea, Sweden
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umea, Sweden
| | - Erik B Erhardt
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, USA
| | - Seymour Grufferman
- Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Joshua D Schiffman
- Center for Children's Cancer Research (C3R), University of Utah Health Sciences Center, Salt Lake City, Utah, USA.,Department of Oncological Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
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