Literature DB >> 33707938

Impact of Laterality on Cumulative Survival in Patients Diagnosed with Retinoblastoma: A Retrospective Cohort Analysis of 1925 Cases in the Surveillance, Epidemiology, and End Results (SEER) Program.

Zain Hussain1.   

Abstract

BACKGROUND: Retinoblastoma is an intraocular cancer with potentially severe clinical consequences if left untreated. Diagnostic and clinical management guidelines are strictly dependent on nature of laterality. This analysis aims to characterize the influence of laterality on survival in patients diagnosed with retinoblastoma.
METHODS: This retrospective cohort analysis utilized the Surveillance, Epidemiology, and End Results (SEER) program for population-based clinical data from 1975 to 2016, a period of 41 years. Univariable and multivariable Cox regression assessed survival with laterality as the primary independent predictor of mortality. Adjustment for demographical and clinical variables was performed.
RESULTS: N = 1925 patients with a valid cause of death classification. Mean±SD age was 2.35±2.020 years (range 0-74). At the time of diagnosis, 819 (42.1%) patients were between 0 and 1 year of age, 469 (24.1%) patients were between 1 and 2 years, 350 (18.0%) patients were between 2 and 3 years, 147 (7.6%) patients were between 3 and 4 years, and 68 (3.5%) patients were between 4 and 5 years of age. The hazard of univariable cause-specific death is 55.6% and 52.9% lower for retinoblastoma patients with left-sided origin and right-sided origin as compared to patients with bilateral origin, respectively (HR = 0.444, CI 0.247-0.800, p = 0.007; HR = 0.471, CI 0.267-0.832, p = 0.009). After adjusting for confounding variables, the hazard of other-cause death for retinoblastoma patients is significantly less for left-sided origin (HR = 0.364, CI 0.140-0.946, p = 0.038) and right-sided origin (HR = 0.190, CI 0.066-0.549, p = 0.002) as compared to patients with retinoblastomas of bilateral origin.
CONCLUSION: Prognostication of survival is significantly influenced by the nature of laterality in retinoblastoma. Unilateral retinoblastomas showcase increased promise for long-term cause-specific and other-cause survival compared to cases of retinoblastoma arising from bilateral origin.
© 2021 Hussain.

Entities:  

Keywords:  laterality; retinoblastoma; survival

Year:  2021        PMID: 33707938      PMCID: PMC7943541          DOI: 10.2147/OPTH.S298209

Source DB:  PubMed          Journal:  Clin Ophthalmol        ISSN: 1177-5467


Introduction

Retinoblastoma is an intraocular cancer with originations from primitive neuroendocrine tissues.1 This malignancy serves the highest incidence of pediatric intraocular cancers with incidences varying from 3.4 to 42.6 cases per million live births.2 It is mostly diagnosed in developed nations.3–5 Remarkable strides in strategic therapeutic implementation of retinoblastomas are discovering the importance of laterality in clinical management guidelines.6 First-line therapy for bilateral retinoblastomas is intravenous chemotherapy (IVC) for prophylaxis against metastasis, secondary recurrences, and authority of intraocular growth.6 One-sided laterality considers alternative treatments, including globe-conserving intra-arterial chemotherapy (IAC).6 Cases of advanced retinoblastomas occurring in third-world countries remain precariously dependent on enucleation for mainstay of therapy.6–8 Although survival of retinoblastoma is shown to correlate with economic development, age at diagnosis, and decade of diagnosis,7,9 survival analyses demonstrating the influence of laterality on mortality are few in number. This SEER analysis highlighted T stage and laterality as the single two covariates significantly influencing survival for overall survival; however, no discrimination for survival in cause-specific and other cause mortality was assessed.10 In addition, incidence rates for diagnoses of retinoblastoma cases seem stable for the past 40 years.9 Interestingly, a retrospective cohort analysis in Jordan at the King Hussein Cancer Center showcased disease stage, laterality, and delay in diagnosis as significant predictors for enucleation.11 To the author’s knowledge, this analysis represents the largest retrospective cohort study comprehensively evaluating the influence of laterality on survival in patients diagnosed with retinoblastoma. We hereby present a retrospective cohort study utilizing the Surveillance, Epidemiology, and End Results (SEER) Program to characterize the impact of laterality on survival in patients with retinoblastomas with adjustment for age, sex, SEER registry, race/ethnicity, race origin, grade, ICD-O-3 histology/behavior, diagnostic confirmation, chemotherapy recode (yes, no/unk), radiation sequence, reason no cancer-directed surgery, radiation therapy, insurance recode (2007+), and type of follow-up expected.

Methods

This retrospective cohort analysis characterized the influence of laterality on survival in patients with retinoblastoma via utilization of the Surveillance, Epidemiology, and End Results (SEER) Program. SEER is the only open-source, patient de-identified, publicly accessible database funded by the National Cancer Institute (NCI) and the Centers for Disease Control and Prevention (CDC).12 ThIn addition, SEER contains de-identified population-based data for demographical and clinical variables with additional cancer-based survival trends. The “Incidence – SEER 18 Regs Custom Data (with additional treatment fields), Nov 2018 Sub (1975–2016 varying)” database was utilized within the SEER software. This represents a study period of 41 years. 1946 patient cases of retinoblastoma were selected with the “ICCC site recode ICD-O-3/WHO 2008” classification system using the descriptor term “V Retinoblastoma”. Due to the survival-based nature of this study, all patient cases with unknown causes of death (N = 21) were eliminated, culminating in 1925 retinoblastoma cases for analysis. To properly diagnose the relationship between laterality and survival in patients with retinoblastoma, univariable and multivariable analysis was performed with adjustment for age, sex, SEER registry, race/ethnicity, race origin, grade, ICD-O-3 histology/behavior, diagnostic confirmation, chemotherapy recode (yes, no/unk), radiation sequence, reason no cancer-directed surgery, radiation therapy, insurance recode (2007+), and type of follow-up expected. Due to the preferential incidence of retinoblastoma occurrences in the pediatric population, age was adjusted in multivariable analysis to yield year-to-year and grouped age outcomes. Descriptive statistics of demographic and clinical characteristics were presented using means and standard deviations for continuous variables and counts and percentages for categorical variables. Kaplan–Meier plots were produced to visually show the unadjusted differences in survival by laterality. Univariable and multivariable Cox proportional hazard models were fit with laterality as the primary independent predictor. Models were fit for both cause-specific and other cause mortality. Cause-specific models define death in survival models by death by cancer; other cause models define death by causes unrelated to cancer. Proportional hazards assumptions were assessed using log-minus-log plots and time-dependent covariate modeling. Statistical noise and redundance was minimized by grouping variables with too few cases together. Statistical significance was defined as a p-value ≤ 0.05. All analyses were performed in IBM SPSS Version 26.

Results

Table 1 shows the descriptive statistics of N = 1925 patients with a valid cause of death classification. By definition, all patients had malignant (100%) cancer(s) with nearly all patients receiving active follow-up (99.6%). Mean±SD age was 2.35±2.020 years (range 0–74). At the time of diagnosis, 819 (42.1%) patients were between 0 and 1 year of age, 469 (24.1%) patients were between 1 and 2 years, 350 (18.0%) patients were between 2 and 3 years, 147 (7.6%) patients were between 3 and 4 years, and 68 (3.5%) patients were between 4 and 5 years of age. Laterality was evenly distributed with 28.9% (556) of patients incurring bilateral retinoblastomas, 33.9% (652) incurring left-sided, and 35.6% (686) incurring right-sided retinoblastomas. Diagnostic confirmation via clinical diagnosis only occurred in 29 (1.5%) cases with direct visualization without microscopic confirmation in 193 (10.0%) cases, positive histology in 1541 (80.1%) cases, and radiography without microscopic confirmation in 123 (6.4%) cases. Radiation therapy was received via beam radiation in 191 (9.9%) cases, radioactive implants were received in 22 (1.1%) cases, and 1688 (87.7%) cases either did not receive or are not known to have received radiation therapy. Additional demographical and clinical data are showcased in Table 1.
Table 1

Baseline Demographical and Clinical Characteristics

VariableValueFrequencyPercent
LateralityBilateral55628.9
Left65233.9
Right68635.6
Other311.6
Age00 years81442.3
1–4 years102253.1
5–9 years703.6
10–14 years90.5
15–19 years50.3
20+ years50.3
SexFemale94048.8
Male98551.2
SEER registryAlaska Natives - 1992+40.2
Atlanta (Metropolitan) - 1975+1015.2
California excluding SF/SJM/LA - 2000+29015.1
Connecticut - 1973+1105.7
Detroit (Metropolitan) - 1973+1608.3
Greater Georgia - 2000+1085.6
Hawaii - 1973+502.6
Iowa - 1973+1186.1
Kentucky - 2000+663.4
Los Angeles - 1992+27314.2
Louisiana - 2000+573
New Jersey - 2000+1095.7
New Mexico - 1973+663.4
Rural Georgia - 1992+40.2
San Francisco-Oakland SMSA - 1973+1176.1
San Jose-Monterey - 1992+583
Seattle (Puget Sound) - 1974+1377.1
Utah - 1973+975
Race/EthnicityAmerican Indian/Alaska native341.8
Asian Indian or Pakistani150.8
Black27814.4
Chinese251.3
Filipino281.5
Hawaiian231.2
Japanese110.6
Vietnamese (1988+)140.7
White140973.2
System884.6
OriginHispanic (All races)51426.7
Non-hispanic asian or pacific islander1718.9
Non-hispanic black26713.9
Non-hispanic white91847.7
Other552.9
GradeModerately differentiated; Grade II623.2
Poorly differentiated; Grade III1407.3
Undifferentiated; anaplastic; Grade IV19610.2
Unknown133669.4
Well differentiated; Grade I1919.9
ICD-O-3 Histology/behavior9510/3: Retinoblastoma, NOS164685.5
9511/3: Retinoblastoma, differentiated1015.2
9512/3: Retinoblastoma, undifferentiated1688.7
9513/3: Retinoblastoma, diffuse100.5
Diagnostic confirmationClinical diagnosis291.5
Direct visualization without microscopic confirmation19310
Positive histology154180.1
Radiography without microscopic confirmation1236.4
Other/Unknown392
Chemotherapy recode (yes, no/unk)No/Unknown109456.8
Yes83143.2
Radiation sequenceNo radiation and/or cancer-directed surgery175791.3
Radiation after surgery1326.9
Radiation prior to surgery281.5
Other80.4
Reason no cancer-directed surgeryNot recommended20210.5
Recommended, but not performed, unknown reason804.2
Surgery performed161984.1
Unknown211.1
Other30.2
Radiation therapyBeam radiation1919.9
None/unknown168887.7
Radioactive implants221.1
Other241.2
Insurance recode (2007+)Any medicaid30916.1
Blank(s)122363.5
Insured34718
Unknown/Uninsured462.4
Type of follow-up expectedActive follow-up191799.6
Autopsy/death certificate only cases20.1
SF/Oakland only (originally inactive/now active)60.3
Baseline Demographical and Clinical Characteristics Table 2 shows the univariable Cox regression model results of laterality for both cause-specific survival and other-cause survival models. Univariable results for cause-specific survival show that:
Table 2

Univariable Cox Regression Results

LateralityOther-Cause SurvivalCause-Specific Survival
HR (95% CI)p-valueHR (95% CI)p-value
Bilateral originRef.Ref.Ref.Ref.
Left-sided origin0.368 (0.179, 0.756)0.0070.444 (0.247, 0.800)0.007
Right-sided origin0.189 (0.077, 0.465)< 0.0010.471 (0.267, 0.832)0.009
The hazard of cause-specific death is 55.6% lower for retinoblastoma patients with left-sided origin as compared to patients with bilateral origin (HR = 0.444, CI 0.247–0.800, p = 0.007). The hazard of cause-specific death is 52.9% lower for retinoblastoma patients with right-sided origin as compared to patients with bilateral origin (HR = 0.471, CI 0.267–0.832, p = 0.009). Figure 1 showcases univariable cause-specific Kaplan–Meier plot.
Figure 1

Kaplan–Meier plot shows the differences in cumulative cause-specific survival over time for patients with retinoblastomas of left-sided origin (top, red line) and right-sided origin (top, green line) as compared to patients with retinoblastomas of bilateral origin (bottom, blue line). The Log rank (Mantel-Cox) test showed that the cause-specific survival distributions for the different levels of aged groups at diagnosis are significantly different (p = 0.007).

Univariable Cox Regression Results Kaplan–Meier plot shows the differences in cumulative cause-specific survival over time for patients with retinoblastomas of left-sided origin (top, red line) and right-sided origin (top, green line) as compared to patients with retinoblastomas of bilateral origin (bottom, blue line). The Log rank (Mantel-Cox) test showed that the cause-specific survival distributions for the different levels of aged groups at diagnosis are significantly different (p = 0.007). Univariable results for other-cause survival show that: The hazard of other-cause death is 63.2% lower for retinoblastoma patients with left-sided origin as compared to patients with bilateral origin (HR = 0.368, CI 0.179–0.756, p = 0.007). The hazard of other-cause death is 81.1% lower for retinoblastoma patients with right-sided origin as compared to patients with bilateral origin (HR = 0.189, CI 0.077–0.465, p < 0.001). Figure 2 showcases univariable other cause Kaplan–Meier plot.
Figure 2

Kaplan–Meier plot shows the differences in cumulative other-cause survival over time for retinoblastoma patients with left-sided origin (red line) and right-sided origin (green line) as compared to retinoblastoma patients with bilateral origin (bottom, blue line). The Log rank (Mantel-Cox) test showed that the other-cause survival distributions for the different levels of aged groups at diagnosis are significantly different (p < 0.001).

Kaplan–Meier plot shows the differences in cumulative other-cause survival over time for retinoblastoma patients with left-sided origin (red line) and right-sided origin (green line) as compared to retinoblastoma patients with bilateral origin (bottom, blue line). The Log rank (Mantel-Cox) test showed that the other-cause survival distributions for the different levels of aged groups at diagnosis are significantly different (p < 0.001). Table 3 shows the multivariable Cox regression results of age for both cause-specific survival and other-cause survival models. Multivariable results for cause-specific survival show that:
Table 3

Multivariable Cox Regression Results

LateralityOther-Cause SurvivalCause-Specific Survival
HR (95% CI)p-valueHR (95% CI)p-value
Bilateral originRef.Ref.Ref.Ref.
Left-sided origin0.364 (0.140, 0.946)0.0380.870 (0.402, 1.879)0.722
Right-sided origin0.190 (0.066, 279.590)0.0021.008 (0.501, 2.031)0.981
The Log rank (Mantel-Cox) test demonstrated multivariable cause-specific survival distributions stratified by laterality are significantly different (p < 0.001). After adjusting for confounding variables, the hazard of cause-specific death for retinoblastoma patients with bilateral origin is significantly different for those aged 1–4 years (HR = 1.850, CI 1.030–3.324, p = 0.040) compared to those aged 0–1 years. After adjusting for confounding variables, the hazard of cause-specific death for retinoblastoma patients with left-sided origin (HR = 0.870, CI 0.402–1.879, p < 0.722) and right-sided origin (HR = 1.008, CI 0.501–2.031, p < 0.981) is not significantly different compared to patients with retinoblastomas with bilateral origin. When partitioning the age variable to a year-to-year basis, adjusted cause-specific distributions in patients with retinoblastomas of bilateral origin demonstrated increased mortality in patients aged 2 (HR = 2.564, CI 1.233–5.329, p = 0.012) compared to patients aged less than 1 year. Figure 3 showcases multivariable cause-specific survival functions.
Figure 3

Kaplan–Meier plot shows the differences in cumulative cause-specific survival over time for the choroidal cancer patients aged 25–49 years (top, red line) as compared to patients aged 75+ years (bottom, orange line), using Cox-model based estimates after adjusting for confounding variables.

Multivariable Cox Regression Results Kaplan–Meier plot shows the differences in cumulative cause-specific survival over time for the choroidal cancer patients aged 25–49 years (top, red line) as compared to patients aged 75+ years (bottom, orange line), using Cox-model based estimates after adjusting for confounding variables. Multivariable results for other cause survival show that: The Log rank (Mantel-Cox) test demonstrated multivariable other-cause survival distributions stratified by laterality are significantly different (p < 0.001). After adjusting for confounding variables, the hazard of other-cause death for retinoblastoma patients is significantly less for left-sided origin (HR = 0.364, CI 0.140–0.946, p = 0.038) and right-sided origin (HR = 0.190, CI 0.066–0.549, p = 0.002) as compared to patients with retinoblastomas of bilateral origin. After adjusting for confounding variables, the hazard of other-cause death for retinoblastoma patients with bilateral origin is significantly less for those who obtained cancer-directed surgery (HR = 0.226, CI 0.068–0.749, p = 0.015) versus those who were not recommended cancer-directed surgery. Outcomes of multivariable analysis are portrayed in Table 4.
Table 4

Multivariable Survival Analysis

VariableValueHazard Ratio95.0% CI for Exp(B)p-value
LowerUpper
Age00 yearsRefRefRef0.444
1–4 years0.920.431.990.040
5–9 years2.561.235.230.012
10–14 years0.000.001.65E+650.494
15–19 years0.030.002.75E+600.586
20+ years0.000.007.18E+830.798
SexMale1.210.632.310.570
SEER RegistryAlaska Natives - 1992+RefRefRef0.975
Atlanta (Metropolitan) - 1975+6387.890.002.43E+990.938
California excluding SF/SJM/LA - 2000+12821.300.004.85E+990.933
Connecticut - 1973+6902.640.002.62E+990.937
Detroit (Metropolitan) - 1973+5645.820.002.14E+990.939
Greater Georgia - 2000+14457.200.005.48E+990.932
Hawaii - 1973+1226.490.005.09E+980.950
Iowa - 1973+8469.910.003.21E+990.936
Kentucky - 2000+18839.880.007.16E+990.930
Los Angeles - 1992+11328.080.004.29E+990.934
Louisiana - 2000+11.120.005.44E+990.983
New Jersey - 2000+8067.560.003.08E+990.936
New Mexico - 1973+4956.990.001.87E+990.940
Rural Georgia - 1992+12.650.002.74E+1730.990
San Francisco-Oakland SMSA - 1973+14927.200.005.66E+990.932
San Jose-Monterey - 1992+38333.210.001.46E+1000.925
Seattle (Puget Sound) - 1974+5316.500.002.02E+990.939
Utah - 1973+12664.940.004.80E+990.933
Race/EthnicityAmerican Indian/Alaska nativeRefRefRef0.934
Asian Indian or Pakistani0.000.008.49E+1250.949
Black0.200.021.910.163
Chinese0.000.001.87E+400.858
Filipino0.000.009.92163E+310.843
Hawaiian3.410.002819.120.721
Japanese0.000.006.93E+380.867
Vietnamese (1988+)0.000.004.85E+560.902
White0.210.031.730.148
Origin Recode (Hispanic, Non-Hispanic)Spanish-Hispanic-Latino0.440.151.290.138
GradeModerately differentiated; Grade IIRefRefRef0.981
Poorly differentiated; Grade III0.590.057.240.680
Undifferentiated; anaplastic; Grade IV0.000.002.56869E+320.870
Unknown0.860.116.910.885
Well differentiated; Grade I0.580.0310.050.705
ICD-O-3 Hist/behav9510/3: Retinoblastoma, NOSRefRefRef0.999
9511/3: Retinoblastoma, differentiated1.210.1014.120.879
9512/3: Retinoblastoma, undifferentiated0.590.001.81E+390.991
9513/3: Retinoblastoma, diffuse0.000.003.57E+1360.958
Diagnostic ConfirmationClinical diagnosisRefRefRef0.815
Direct visualization without microscopic confirmation1570.480.004.54889E+310.826
Positive histology1264.000.003.66033E+310.831
Radiography without microscopic confirmation416.520.001.23761E+310.857
Other/Unknown0.670.007.12E+520.995
Chemotherapy recodeYes0.550.231.330.188
Radiation SequenceNo radiation and/or cancer-directed surgeryRefRefRef0.127
Radiation after surgery8.070.7388.960.088
Radiation prior to surgery0.000.001.49006E+280.867
Other57.502.021636.930.018
Reason for SurgeryNot recommendedRefRefRef0.199
Recommended, but not performed, unknown reason4.010.9217.460.064
Surgery performed0.230.070.740.015
Unknown0.000.003.97577E+200.802
Other0.000.001.11E+840.953
Radiation RecodeBeam radiationRefRefRef0.045
None/unknown0.160.040.590.007
Radioactive implants0.380.053.1100.367
Other0.430.072.4700.345
Insurance RecodeAny medicaidRefRefRef0.007
Blank(s)0.120.040.39<0.001
Insured0.310.081.220.095
Unknown/uninsured0.000.006.06E+180.809
Type of follow-up expectedActive follow-up0.000.001.69E+380.892
Figure 4 showcases multivariable cause-specific survival functions.
Figure 4

Kaplan–Meier plot shows the differences in cumulative other-cause survival over time for the married choroidal cancer patients (top, orange line) as compared to widowed patients (bottom, dark green line), using Cox-model based estimates after adjusting for confounding variables.

Multivariable Survival Analysis Kaplan–Meier plot shows the differences in cumulative other-cause survival over time for the married choroidal cancer patients (top, orange line) as compared to widowed patients (bottom, dark green line), using Cox-model based estimates after adjusting for confounding variables.

Discussion

This study utilized the national SEER database to procure 1925 patients diagnosed with retinoblastomas with a valid cause of death. Our findings highlight the influence of laterality on cause-specific and other cause of death in patients diagnosed with retinoblastomas. To the author’s knowledge, this study is only one of few assessing the influence of laterality on survivorship in those with retinoblastoma. Unilateral retinoblastomas preferentially showcase protective measures against mortality compared to retinoblastomas of bilateral origin. More specifically, our univariable analysis demonstrates a 55.6% reduction in cause-specific mortality and a 52.9% reduction in other cause mortality, as compared to patients with bilateral retinoblastomas. Adjustment for demographical and clinical variables, such as age, sex, race/ethnicity, grade, ICD-O-3 histology/behavior, diagnostic confirmation, chemotherapy recode (yes, no/unk), radiation sequence, reason no cancer-directed surgery, radiation therapy, insurance recode (2007+), and type of follow-up expected were performed. With adjustment, our other cause mortality model maintained a strong stance for preferentiality of survival in patients with left- and right-sided retinoblastomas with an acknowledged 63.6% and 81.0% reduction, respectively, as compared to patients with dual-sided retinoblastomas. Significant differences in survival are observed in unilateral versus bilateral cases of retinoblastoma. In addition, our cohort analysis showcases that retinoblastomas demonstrate no appreciable differences in survival between left-sided and right-sided cohorts. This is observable via KM curves for cause-specific unadjusted and adjusted models. A current market analysis of the literature supports these findings with genetic influences underpinning the development of unilateral versus bilateral retinoblastomas and treatment modalities specific to either qualities of unilaterality or bilaterality, irrespective of left-sided versus right-sided laterality. Interestingly, while rare trilateral diagnoses have been reported in the literature, the SEER database does not observe these specificities within the encoded laterality variables. While several studies have established significant survival associations between laterality and mortality,9–11 this study represents the largest retrospective cohort analysis of 1925 patients evaluating this association. In addition, of the few studies that attempt to evaluate this association, even fewer evaluate cause-specific and other cause survival models.9–11 Interestingly, this study demonstrated a nearly 1900% increase in risk of hazards of overall death for bilateral versus unilateral cases of retinoblastoma.10 In contrast, our cause-specific analysis finds a 125% and 112% increase in bilateral cases of retinoblastoma as compared to left- and right-sided cases, respectively. Bifurcation of survival models in cause-specific and other cause models allows greater discrimination of true survival from death by cancer itself versus causes of death not related to cancer diagnosis. Currently defined mechanisms postulating genetic etiologies shed light on deciphering why unilateral retinoblastomas may prognosticate increased propensity of survival. Prediction of improved clinical outcomes in children is dependent upon cogent identification of RB1 mutations,13,14 which was found in 86% of patients with sporadic bilateral retinoblastomas or those carrying a positive family history of retinoblastoma.15 Cumulative mortality from hereditary retinoblastoma survivors showcased increased mortality from consequent malignancies (25.5%, CI 20.8% to 30.2%) compared to nonhereditary retinoblastoma survivors (1.0%, CI 0.2% to 1.8%),13 indicating genetic inheritance of relevant markers reduces survivorship compared to those with sporadic retinoblastomas.14 Interestingly, while our current understanding of the RB1 mutation demonstrates preferential positive prediction of bilaterality,16 this study showcased findings of germline abnormalities in 11% of sporadic unilateral retinoblastoma, indicating no preclusion of genetic testing in the presence of unilaterality.15 This 2019 survival analysis showcased that out of 924 patients with nonhereditary retinoblastoma, none incurred bilateral origin.14 By extension, through the unilateral nature of nonhereditary retinoblastomas, survivorship increases.14 Preferred choice of therapeutic strategy for retinoblastoma is partially dependent on nature of laterality.6,16 Clinical guidelines highlight preferentiality for intravenous chemotherapy with intermediate consideration for intra-arterial chemotherapy and periocular chemotherapy for bilateral retinoblastomas.6 In contrast, unilateral retinoblastomas demonstrate increased responsiveness to intra-arterial chemotherapy; however, intermediate or minimal consideration for intravenous, periocular, and intravitreal chemotherapy remains.6 Interestingly, our study highlighted a reduction in hazards by 77.4% in patients diagnosed with retinoblastoma of bilateral origin who received cancer-directed surgery compared to patients who were not recommended cancer-directed surgery. Unique limitations exist for survival studies based on SEER-extracted data. Despite formal diagnoses of a variety of cancers in public hospital systems, patients may seek treatment from clinicians in private practices, which largely do not share patient data with public hospital systems. Due to this discrepancy, patients may be designated with no receipt of treatment (radiation therapy, chemotherapy, surgical excision, etc.) in the SEER database, despite the likelihood of receipt of treatment from private clinicians. In addition, this study removed patients (N = 21) from analysis due to no listed cause of death. The outcomes of this study are strengthened by the sample size, number of survivors, and extraction of clearly interpretable data by virtue of the SEER classification system.

Conclusion

Our retrospective cohort study highlights the positive influence of laterality on cause-specific and other cause survivorship in patients diagnosed with unilateral retinoblastoma compared to patients with bilateral retinoblastoma. Cancer-directed surgery in patients diagnosed with retinoblastoma of bilateral origin demonstrates increased survival compared patients who were not recommended cancer-directed surgery. An improved understanding of the underlying genetic mechanisms related to the retinoblastoma gene, chromosomal aberrations, and epigenetic alterations may shed light on this association; however, additional studies evaluating the unilateral influence of laterality on survival may be needed.
  14 in total

1.  The epidemiological challenge of the most frequent eye cancer: retinoblastoma, an issue of birth and death.

Authors:  Tero Kivelä
Journal:  Br J Ophthalmol       Date:  2009-09       Impact factor: 4.638

2.  Retinoblastoma in the United States: A 40-Year Incidence and Survival Analysis.

Authors:  Arthur Gustavo Fernandes; Benjamin D Pollock; Felicia A Rabito
Journal:  J Pediatr Ophthalmol Strabismus       Date:  2017-12-19       Impact factor: 1.402

Review 3.  Retinoblastoma: diagnosis and management--the UK perspective.

Authors:  Helen Jenkinson
Journal:  Arch Dis Child       Date:  2015-05-04       Impact factor: 3.791

4.  Patterns of Cause-Specific Mortality Among 2053 Survivors of Retinoblastoma, 1914-2016.

Authors:  Ruth A Kleinerman; Margaret A Tucker; Byron S Sigel; David H Abramson; Johanna M Seddon; Lindsay M Morton
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

5.  Cancer mortality in long-term survivors of retinoblastoma.

Authors:  T Marees; F E van Leeuwen; M R de Boer; S M Imhof; P J Ringens; A C Moll
Journal:  Eur J Cancer       Date:  2009-06-01       Impact factor: 9.162

6.  Cause-specific mortality in long-term survivors of retinoblastoma.

Authors:  Chu-Ling Yu; Margaret A Tucker; David H Abramson; Kyoji Furukawa; Johanna M Seddon; Marilyn Stovall; Joseph F Fraumeni; Ruth A Kleinerman
Journal:  J Natl Cancer Inst       Date:  2009-04-07       Impact factor: 13.506

Review 7.  Retinoblastoma: one world, one vision.

Authors:  Carlos Rodriguez-Galindo; Mathew W Wilson; Guillermo Chantada; Ligia Fu; Ibrahim Qaddoumi; Célia Antoneli; Carlos Leal-Leal; Tarun Sharma; Margarita Barnoya; Sidnei Epelman; Louis Pizzarello; Javier R Kane; Ray Barfield; Thomas E Merchant; Leslie L Robison; A Linn Murphree; Patricia Chevez-Barrios; Michael A Dyer; Joan O'Brien; Raul C Ribeiro; John Hungerford; Eugene M Helveston; Barrett G Haik; Judith Wilimas
Journal:  Pediatrics       Date:  2008-09       Impact factor: 7.124

8.  Incidence of retinoblastoma in the USA: 1975-2004.

Authors:  E Broaddus; A Topham; A D Singh
Journal:  Br J Ophthalmol       Date:  2008-07-11       Impact factor: 4.638

9.  Incidence of retinoblastoma and survival rate of retinoblastoma patients in Korea using the Korean National Cancer Registry database (1993-2010).

Authors:  Sang Jun Park; Se Joon Woo; Kyu Hyung Park
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-05-01       Impact factor: 4.799

10.  Incidence and Mortality of Second Primary Cancers in Danish Patients With Retinoblastoma, 1943-2013.

Authors:  Pernille A Gregersen; Maja H Olsen; Steen F Urbak; Mikkel Funding; Susanne O Dalton; Jens Overgaard; Jan Alsner
Journal:  JAMA Netw Open       Date:  2020-10-01
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