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Keirns DL, Verplancke K, McMahon K, Eaton V, Silberstein P. Demographic differences in early vs. late-stage laryngeal squamous cell carcinoma. Am J Otolaryngol 2024; 45:104282. [PMID: 38604102 DOI: 10.1016/j.amjoto.2024.104282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE This study aims to evaluate how various demographic factors impact the stage at diagnosis and, therefore, prognosis of laryngeal cancer. MATERIALS AND METHODS Using the National Cancer Database, 96,409 patients were diagnosed with laryngeal squamous cell carcinoma between 2004 and 2020. Early (stage 0 or I) vs. late-stage (stage IV) cancers were compared based on demographic variables utilizing Chi-square and multivariate analysis with a significance of p < 0.05. RESULTS Female, Black, and generally older patients were more likely to have late-stage cancer than their counterparts. When compared with a community cancer program, patients treated at other facility types were more likely to be diagnosed late. Patients with private insurance, Medicare, or other government insurance were all less likely to have late-stage cancer compared to patients without insurance. Compared to patients in the lowest median household income quartile, patients in the third quartile and fourth quartile were diagnosed earlier. Patients living in an area with the lowest level of high school degree attainment were most likely to be diagnosed late. Living in a more populous area was associated with a lower chance of being diagnosed late. Increasing Charlson-Deyo Score was associated with a stronger likelihood of being diagnosed at a later stage. CONCLUSION Patients who are female, Black, uninsured, have a low household income, live in less populated and less educated areas, are treated at non-community cancer programs, and have more comorbid conditions have later stage diagnoses. This data contributes to understanding inequities in healthcare.
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Affiliation(s)
- Darby L Keirns
- Creighton University School of Medicine, Omaha, NE, USA.
| | | | - Kevin McMahon
- Creighton University School of Medicine, Omaha, NE, USA
| | - Vincent Eaton
- Creighton University School of Medicine, Omaha, NE, USA
| | - Peter Silberstein
- Department of Medicine, Hematology and Oncology, School of Medicine, Creighton University, Omaha, NE, USA
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2
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Gupta A, Omeogu C, Islam JY, Joshi A, Zhang D, Braithwaite D, Karanth SD, Tailor TD, Clarke JM, Akinyemiju T. Socioeconomic disparities in immunotherapy use among advanced-stage non-small cell lung cancer patients: analysis of the National Cancer Database. Sci Rep 2023; 13:8190. [PMID: 37210410 DOI: 10.1038/s41598-023-35216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/15/2023] [Indexed: 05/22/2023] Open
Abstract
Socioeconomic and racial disparities exist in access to care among patients with non-small cell lung cancer (NSCLC) in the United States. Immunotherapy is a widely established treatment modality for patients with advanced-stage NSCLC (aNSCLC). We examined associations of area-level socioeconomic status with receipt of immunotherapy for aNSCLC patients by race/ethnicity and cancer facility type (academic and non-academic). We used the National Cancer Database (2015-2016), and included patients aged 40-89 years who were diagnosed with stage III-IV NSCLC. Area-level income was defined as the median household income in the patient's zip code, and area-level education was defined as the proportion of adults aged ≥ 25 years in the patient's zip code without a high school degree. We calculated adjusted odds ratios (aOR) with 95% confidence intervals (95% CI) using multi-level multivariable logistic regression. Among 100,298 aNSCLC patients, lower area-level education and income were associated with lower odds of immunotherapy treatment (education: aOR 0.71; 95% CI 0.65, 0.76 and income: aOR 0.71; 95% CI 0.66, 0.77). These associations persisted for NH-White patients. However, among NH-Black patients, we only observed an association with lower education (aOR 0.74; 95% CI 0.57, 0.97). Across all cancer facility types, lower education and income were associated with lower immunotherapy receipt among NH-White patients. However, among NH-Black patients, this association only persisted with education for patients treated at non-academic facilities (aOR 0.70; 95% CI 0.49, 0.99). In conclusion, aNSCLC patients residing in areas of lower educational and economic wealth were less likely to receive immunotherapy.
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Affiliation(s)
- Anjali Gupta
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27708, USA
| | - Chioma Omeogu
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27708, USA
| | - Jessica Y Islam
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27708, USA
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Ashwini Joshi
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27708, USA
| | - Dongyu Zhang
- Johnson and Johnson, Medical Device Epidemiology, New Brunswick, NJ, USA
| | | | - Shama D Karanth
- Institute on Aging, University of Florida, Gainesville, FL, USA
| | - Tina D Tailor
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Jeffrey M Clarke
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Tomi Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27708, USA.
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Roman KM, Torabi SJ, Bitner BF, Goshtasbi K, Haidar YM, Tjoa T, Kuan EC. The Impact of Facility Type and Volume on Outcomes in Head and Neck Mucosal Melanoma. Otolaryngol Head Neck Surg 2023; 168:1079-1088. [PMID: 36939581 DOI: 10.1002/ohn.173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/11/2022] [Accepted: 09/15/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To evaluate differences in treatment outcomes for head and neck mucosal melanoma (HNMM) patients seen at academic versus nonacademic centers and high versus low volume facilities. STUDY DESIGN Retrospective cohort study. SETTING National Cancer Database. METHODS Differences in treatment course and overall survival (OS) by facility type and volume were assessed for 2772 HNMM cases reported by the 2004 to 2017 National Cancer Database. A subgroup analysis was performed with a smaller cohort containing staging data. The analysis employed Kaplan-Meier and Cox proportional hazards models. RESULTS A higher proportion of patients treated at academic centers within the HNMM cohort waited longer for surgery after diagnosis (p < .001), had negative surgical margins (p < .001), and were readmitted to the hospital within 30 days of surgery (p = .001); these relationships remained significant when controlling for cancer stage. Kaplan-Meier analysis demonstrated higher 5-year OS for patients treated at academic versus nonacademic facilities within the main cohort (32.5% ± 1.3% vs 27.3% ± 1.5%; p = .006) and within the stage-controlled subgroup (34.8% ± 2.1% vs 27.2% ± 2.6%; p = .003). Treatment at high volume versus low volume facilities was associated with improved 5-year OS for main cohort patients (33.5% ± 1.7% vs 28.8% ± 1.2%; p = .016) but not for subgroup patients (35.3% ± 2.7% vs 30.1% ± 2.1%; p = .100). Upon multivariate analysis controlling for demographic and oncologic factors, there was no significant difference in OS by facility type (main cohort: odds ratio [OR] = 1.07, 95% confidence interval [CI] = 1.01-1.21; subgroup: OR = 1.13, 95% CI = 0.97-1.32). CONCLUSION Neither facility type nor surgical volume predicts overall survival in HNMM.
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Affiliation(s)
- Kelsey M Roman
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Sina J Torabi
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Benjamin F Bitner
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Khodayar Goshtasbi
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Yarah M Haidar
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Tjoson Tjoa
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
| | - Edward C Kuan
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine Medical Center, Orange, California, USA
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Schneider CS, Hatic H, Das D, Cardan RA, Stahl JM, Bonner JA, Kole AJ. Patterns of Failure and Optimal Treatment Paradigm for Large, Inoperable, Node-Negative Non-small Cell Lung Cancer. Clin Lung Cancer 2022; 23:e408-e414. [PMID: 35680550 DOI: 10.1016/j.cllc.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVES The ideal non-operative treatment for patients with large, node-negative non-small cell lung cancer (NSCLC) is poorly defined. To inform optimal treatment paradigms for this cohort, we examined patterns of failure and the impact of radiation therapy (RT) and chemotherapy receipt. MATERIALS AND METHODS Node-negative NSCLC patients with 5+ cm primary tumors receiving definitive RT at our institution were identified. Sites of initial progression were analyzed. Local progression, regional/distant progression, progression-free survival, and overall survival were analyzed via cumulative incidence function and Kaplan-Meier. Associations between local vs. regional/distant progression with treatment and clinicopathologic variables were assessed via univariable and multivariable competing risks regression. RESULTS AND CONCLUSION We identified 88 patients for analysis. Among patients with recurrent disease (N = 36), initial patterns of failure analysis showed that isolated distant (27.8%) and isolated regional progression (22.2%) were most common. Distant or regional failure as a component of initial failure was seen in 88.9% of patients who progressed, while isolated local failure was uncommon (11.1%). Univariable and multivariable competing risks regression showed that receipt of SBRT was associated with reduced risk of local progression (HR 0.23, P = .012), and receipt of chemotherapy was associated with reduced risk of regional/distant progression (HR 0.12, P = .040). In conclusion, patients with large, node-negative NSCLC treated with definitive RT are at high risk of regional and distant progression. SBRT correlates with a reduced risk of local failure while chemotherapy is associated with reduced regional/distant progression in this patient population. Ideal treatment may include SBRT when feasible with appropriate systemic therapy.
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Affiliation(s)
- Craig S Schneider
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Haris Hatic
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Devika Das
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Rex A Cardan
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - John M Stahl
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - James A Bonner
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Adam J Kole
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL.
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Obrochta CA, Parada H, Murphy JD, Nara A, Trinidad D, Araneta MR(H, Thompson CA. The impact of patient travel time on disparities in treatment for early stage lung cancer in California. PLoS One 2022; 17:e0272076. [PMID: 36197902 PMCID: PMC9534452 DOI: 10.1371/journal.pone.0272076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 07/12/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Travel time to treatment facilities may impede the receipt of guideline-concordant treatment (GCT) among patients diagnosed with early-stage non-small cell lung cancer (ES-NSCLC). We investigated the relative contribution of travel time in the receipt of GCT among ES-NSCLC patients. METHODS We included 22,821 ES-NSCLC patients diagnosed in California from 2006-2015. GCT was defined using the 2016 National Comprehensive Cancer Network guidelines, and delayed treatment was defined as treatment initiation >6 versus ≤6 weeks after diagnosis. Mean-centered driving and public transit times were calculated from patients' residential block group centroid to the treatment facilities. We used logistic regression to estimate risk ratios and 95% confidence intervals (CIs) for the associations between patients' travel time and receipt of GCT and timely treatment, overall and by race/ethnicity and neighborhood socioeconomic status (nSES). RESULTS Overall, a 15-minute increase in travel time was associated with a decreased risk of undertreatment and delayed treatment. Compared to Whites, among Blacks, a 15-minute increase in driving time was associated with a 24% (95%CI = 8%-42%) increased risk of undertreatment, and among Filipinos, a 15-minute increase in public transit time was associated with a 27% (95%CI = 13%-42%) increased risk of delayed treatment. Compared to the highest nSES, among the lowest nSES, 15-minute increases in driving and public transit times were associated with 33% (95%CI = 16%-52%) and 27% (95%CI = 16%-39%) increases in the risk of undertreatment and delayed treatment, respectively. CONCLUSION The benefit of GCT observed with increased travel times may be a 'Travel Time Paradox,' and may vary across racial/ethnic and socioeconomic groups.
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Affiliation(s)
- Chelsea A. Obrochta
- San Diego State University, School of Public Health, San Diego, California, United States of America
- University of California San Diego, School of Medicine, La Jolla, California, United States of America
| | - Humberto Parada
- San Diego State University, School of Public Health, San Diego, California, United States of America
- University of California San Diego, Moores Cancer Center, La Jolla, California, United States of America
| | - James D. Murphy
- University of California San Diego, Moores Cancer Center, La Jolla, California, United States of America
| | - Atsushi Nara
- Department of Geography, San Diego State University, San Diego, California, United States of America
| | - Dennis Trinidad
- University of California San Diego, School of Medicine, La Jolla, California, United States of America
| | | | - Caroline A. Thompson
- San Diego State University, School of Public Health, San Diego, California, United States of America
- University of California San Diego, School of Medicine, La Jolla, California, United States of America
- University of California San Diego, Moores Cancer Center, La Jolla, California, United States of America
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, United States of America
- * E-mail:
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Gupta A, Omeogu CH, Islam JY, Joshi AR, Akinyemiju TF. Association of area-level socioeconomic status and non-small cell lung cancer stage by race/ethnicity and health care-level factors: Analysis of the National Cancer Database. Cancer 2022; 128:3099-3108. [PMID: 35719098 PMCID: PMC10111396 DOI: 10.1002/cncr.34327] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 10/27/2021] [Accepted: 11/09/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND This study examined whether the association of socioeconomic status (SES) and non-small cell lung cancer (NSCLC) stage varied by race/ethnicity and health care access measures. METHODS This study used data from the 2004-2016 National Cancer Database for patients aged 18-89 years who had been diagnosed with Stage 0-IV NSCLC. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were calculated for the associations of area-level SES with an advanced stage at diagnosis via multilevel, multivariable logistic regression. The stage at diagnosis was dichotomized into early (0-II) and advanced (III-IV) stages, and area-level SES was categorized on the basis of the patient's zip code level: (1) the proportion of adults aged ≥25 years without a high school degree and (2) the median household income. The models were stratified by race/ethnicity (non-Hispanic [NH] White, NH Black, Hispanic, Asian, American Indian/Alaskan Native, and Native Hawaiian/Pacific Islander), insurance status (none, government, and private), and health care facility type (community, comprehensive community, academic/research, and integrated network). RESULTS The study population included 1,329,972 patients. Although only 17% of the NH White patients were in the lowest income quartile, 50% of the NH Black patients were in this group. Lower area-level education and income were associated with higher odds of an advanced-stage diagnosis (aOR for education, 1.12; 95% CI, 1.10-1.13; aOR for income, 1.13; 95% CI, 1.11-1.14). These associations persisted among NH White, NH Black, Hispanic, and Asian patients; among those with government and private insurance (but not the uninsured); and among those treated at each facility type. CONCLUSIONS Area-level income and education are strongly associated with an advanced NSCLC diagnosis regardless of the facility type and among those with government and private insurance.
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Affiliation(s)
- Anjali Gupta
- Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Chioma H. Omeogu
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Jessica Y. Islam
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Ashwini R. Joshi
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Tomi F. Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
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7
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Ilié M, Hofman V, Bontoux C, Heeke S, Lespinet-Fabre V, Bordone O, Lassalle S, Lalvée S, Tanga V, Allegra M, Salah M, Bohly D, Benzaquen J, Marquette CH, Long-Mira E, Hofman P. Setting Up an Ultra-Fast Next-Generation Sequencing Approach as Reflex Testing at Diagnosis of Non-Squamous Non-Small Cell Lung Cancer; Experience of a Single Center (LPCE, Nice, France). Cancers (Basel) 2022; 14:2258. [PMID: 35565387 PMCID: PMC9104603 DOI: 10.3390/cancers14092258] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 04/28/2022] [Indexed: 12/12/2022] Open
Abstract
The number of genomic alterations required for targeted therapy of non-squamous non-small cell lung cancer (NS-NSCLC) patients has increased and become more complex these last few years. These molecular abnormalities lead to treatment that provides improvement in overall survival for certain patients. However, these treated tumors inexorably develop mechanisms of resistance, some of which can be targeted with new therapies. The characterization of the genomic alterations needs to be performed in a short turnaround time (TAT), as indicated by the international guidelines. The origin of the tissue biopsies used for the analyses is diverse, but their size is progressively decreasing due to the development of less invasive methods. In this respect, the pathologists are facing a number of different challenges requiring them to set up efficient molecular technologies while maintaining a strategy that allows rapid diagnosis. We report here our experience concerning the development of an optimal workflow for genomic alteration assessment as reflex testing in routine clinical practice at diagnosis for NS-NSCLC patients by using an ultra-fast-next generation sequencing approach (Ion Torrent Genexus Sequencer, Thermo Fisher Scientific). We show that the molecular targets currently available to personalized medicine in thoracic oncology can be identified using this system in an appropriate TAT, notably when only a small amount of nucleic acids is available. We discuss the new challenges and the perspectives of using such an ultra-fast NGS in daily practice.
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Affiliation(s)
- Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Simon Heeke
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Virginie Lespinet-Fabre
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
| | - Olivier Bordone
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Sandra Lassalle
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Salomé Lalvée
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
| | - Virginie Tanga
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Maryline Allegra
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Myriam Salah
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Doriane Bohly
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Jonathan Benzaquen
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Pasteur Hospital, 06000 Nice, France
| | - Charles-Hugo Marquette
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Pasteur Hospital, 06000 Nice, France
| | - Elodie Long-Mira
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
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8
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Kneuertz PJ, Abdel-Rasoul M, D'Souza DM, Zhao J, Merritt RE. Segmentectomy for clinical stage I non-small cell lung cancer: National benchmarks for nodal staging and outcomes by operative approach. Cancer 2022; 128:1483-1492. [PMID: 34994403 DOI: 10.1002/cncr.34071] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/26/2021] [Accepted: 11/29/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Segmentectomy is increasingly used for parenchyma sparing anatomical resection for small stage I non-small cell lung cancer (NSCLC). This study characterizes the national outcomes for lymph node assessment and perioperative outcomes of segmentectomy for clinical stage I NSCLC by robotic-assisted surgery (RATS), video-assisted thoracoscopic surgery (VATS), and open thoracotomy approach. METHODS A retrospective cohort study was conducted of patients who underwent segmentectomy for clinical stage I NSCLC captured in the national Society of Thoracic Surgeons General Thoracic Surgery Database between years 2012 and 2018. Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics. Lymph node (LN) staging and 30-day outcomes were compared by approach. RESULTS A total of 3680 patients (VATS 61.9%, RATS 20%, open 18%) underwent segmentectomy. The IPTW adjusted rate of pathologic LN upstaging (pN1/pN2) was 6.2% (RATS 6.3%, VATS 5.6%, open 8.6%; P = .05). On multivariate analysis, there was no differences in pN1/N2 upstaging between RATS (odds ratio [OR], 0.81; 95% confidence interval [CI], 0.44-1.49) or VATS (OR, 0.96; 95% CI, 0.57-1.63) with open segmentectomy. The RATS and VATS approach was associated with fewer postoperative events (RATS 31.3%, VATS 28.8%, open 38.3%; P < .001) and shorter length of stay (RATS 4.3 days, VATS 4.4 days, open 5.2 days; P < .001) as compared with thoracotomy. RATS segmentectomy-specific complications included a higher rate of pneumothorax after chest tube removal and discharge with chest tube. Major complications were lower after RATS and VATS as compared with open segmentectomy (RATS 5.9%, VATS 4.5%, open 7.2%; P = .028). CONCLUSIONS Segmentectomy by VATS and robotic approach resulted in similar high rates of lymph node upstaging as a global marker of the quality of lymph node dissection and were associated with lower overall morbidity and shorter length of stay as compared with open thoracotomy. These national outcomes may serve as benchmarks for future comparative studies.
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Affiliation(s)
- Peter J Kneuertz
- Department of Surgery, Thoracic Surgery Division, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | - Desmond M D'Souza
- Department of Surgery, Thoracic Surgery Division, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Jing Zhao
- Center for Biostatistics, The Ohio State University, Columbus, Ohio
| | - Robert E Merritt
- Department of Surgery, Thoracic Surgery Division, The Ohio State University Wexner Medical Center, Columbus, Ohio
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Shi H, Zhou K, Cochuyt J, Hodge D, Qin H, Manochakian R, Zhao Y, Ailawadhi S, Adjei AA, Lou Y. Survival of Black and White Patients With Stage IV Small Cell Lung Cancer. Front Oncol 2021; 11:773958. [PMID: 34956892 PMCID: PMC8702563 DOI: 10.3389/fonc.2021.773958] [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: 09/10/2021] [Accepted: 11/18/2021] [Indexed: 12/04/2022] Open
Abstract
Background Small cell lung cancer (SCLC) is associated with aggressive biology and limited treatment options, making this disease a historical challenge. The influence of race and socioeconomic status on the survival of stage IV SCLC remains mostly unknown. Our study is designed to investigate the clinical survival outcomes in Black and White patients with stage IV SCLC and study the demographic, socioeconomic, clinical features, and treatment patterns of the disease and their impact on survival in Blacks and Whites. Methods and Results Stage IV SCLC cases from the National Cancer Database (NCDB) diagnosed between 2004 and 2014 were obtained. The follow-up endpoint is defined as death or the date of the last contact. Patients were divided into two groups by white and black. Features including demographic, socioeconomic, clinical, treatments and survival outcomes in Blacks and Whites were collected. Mortality hazard ratios of Blacks and Whites stage IV SCLC patients were analyzed. Survival of stage IV SCLC Black and White patients was also analyzed. Adjusted hazard ratios were analyzed by Cox proportional hazards regression models. Patients’ median follow-up time was 8.18 (2.37-15.84) months. Overall survival at 6, 12, 18 and 24 months were 52.4%, 25.7%, 13.2% and 7.9% in Blacks in compared to 51.0%, 23.6%, 11.5% and 6.9% in Whites. White patients had significantly higher socioeconomic status than Black patients. By contrast, Blacks were found associated with younger age at diagnosis, a significantly higher chance of receiving radiation therapy and treatments at an academic/research program. Compared to Whites, Blacks had a 9% decreased risk of death. Conclusion Our study demonstrated that Blacks have significant socioeconomic disadvantages compared to Whites. However, despite these unfavorable factors, survival for Blacks was significantly improved compared to Whites after covariable adjustment. This may be due to Blacks with Stage IV SCLC having a higher chance of receiving radiation therapy and treatments at an academic/research program. Identifying and removing the barriers to obtaining treatments at academic/research programs or improving the management in non-academic centers could improve the overall survival of stage IV SCLC.
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Affiliation(s)
- Huashan Shi
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States
| | - Kexun Zhou
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States
| | - Jordan Cochuyt
- Department of Health Sciences Research/Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, United States
| | - David Hodge
- Department of Health Sciences Research/Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, United States
| | - Hong Qin
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Rami Manochakian
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Yujie Zhao
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Sikander Ailawadhi
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Alex A Adjei
- Division of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Yanyan Lou
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, United States
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