Skip to main content
PLOS One logoLink to PLOS One
. 2018 May 7;13(5):e0197052. doi: 10.1371/journal.pone.0197052

Growth patterns of survivors of retinoblastoma treated with ophthalmic artery chemosurgery

Sruti S Akella 1,*,#, Jasmine H Francis 2,3,#, Andrea Knezevic 4,#, Irina Ostrovnaya 4,#, Y Pierre Gobin 5,#, Danielle Friedman 6,#, Edith Guarini 2,, Lindsey Eibeler 2,, Federica Catalanotti 2, David H Abramson 2,3,#
Editor: Demetrios G Vavvas7
PMCID: PMC5937785  PMID: 29734385

Abstract

Although studies from pediatric cancers (largely acute lymphoblastic leukemia) have shown that patients undergoing systemic chemotherapy may experience decreased growth velocity during the treatment phase, no such data exist for retinoblastoma patients treated with systemic chemotherapy or ophthalmic artery chemosurgery (OAC). The purpose of this study is to report growth patterns of our retinoblastoma (Rb) population who were treated with OAC in a retrospective, single center (Memorial Sloan Kettering Cancer Center) review of 341 patients treated between 2006 and 2016. Children who only received OAC were classified as naive; those who were treated initially with systemic chemotherapy and subsequently presented to our center for OAC were termed secondary; and a small group of patients who received single-agent systemic chemotherapy prior to OAC were labeled bridge. For all patients, height and weight were recorded at monthly intervals during OAC (short-term) and then annually during a follow-up period (long-term) up to 3 years after treatment. Excluded from this study were children who received external radiation therapy and those with genetic syndromes, which are independently associated with growth derangements. During OAC, there was no significant difference in growth velocity between the naïve and secondary groups. In either group, number of treatments also did not affect growth rate. Three years after the end of OAC, naïve patients were in the 68th percentile by height (95% CI 61.30, 74.63) compared to secondary patients in the 61st percentile (95% CI 51.1, 71.47). Both groups were in the same weight percentiles during the first two years of follow-up but at the three-year follow-up period, naïve patients were in the 63rd percentile (95% CI 57.4, 69.4) and secondary patients were in the 60th percentile (95% CI 50.4, 69.7). OAC for retinoblastoma does not appear to impact short-term growth velocity, weight gain during the treatment period or after three years.

Introduction

Retinoblastoma is the most common primary intraocular malignancy in children, and recent therapeutic advances have made it one of the most curable forms of childhood cancer, with survival rates exceeding 95% in some countries [1]. The increasing number of survivors of childhood retinoblastoma has led to a growing interest in the long-term adverse effects of treatment.

The incidence of childhood cancers, including retinoblastoma, coincides with periods of rapid skeletal growth [2]. There are no data, however, to our knowledge, regarding the potential incidence of growth impairment in survivors of retinoblastoma treated with systemic chemotherapy or OAC, which may or may not impact height. Several studies [3,4,5] in the literature have reported long-term sequela of survivors of retinoblastoma but none have commented on growth patterns.

During the duration of systemic chemotherapy for other pediatric cancers, early growth deceleration with bone age retardation and focal radiological findings have previously been documented [6]. In patients with acute lymphoblastic leukemia receiving systemic chemotherapy, decreased growth velocity has been reported during all phases of treatment [79]. However, nearly 70% of these patients will show a variable degree of catch-up growth depending on the type and dosage of the chemotherapy regimen administered [10]. Until the introduction of ophthalmic artery chemosurgery (OAC), systemic chemotherapy (usually with carboplatin, vincristine, and etoposide) was used for intraocular retinoblastoma [11,12] since the abandonment of external beam radiation. OAC uses approximately one-twentieth of the typical total systemic dose [12] and as a result has far fewer and less intense systemic side effects compared to intravenous administration [13,14]. The purpose of this study is to report growth patterns in a large cohort of retinoblastoma survivors who were treated using OAC.

Materials and methods

A retrospective survey of all patients treated with OAC between May 1, 2006, and October 1, 2016 at Memorial Sloan Kettering Cancer Center was performed. Excluded from the study were children with known genetic syndromes, including Down syndrome and 13q deletion and children who had received external beam radiation therapy, which are both independently associated with short stature. Patients were categorized in one of three groups: those who received OAC as the primary treatment (naive); those who received OAC after systemic therapy (secondary); and patients who received a round of single-agent systemic chemotherapy (bridge) prior to treatment with OAC.

For every child in each group, height and weight were obtained retrospectively at first office visit, at every subsequent OAC treatment (short-term), and annually at 1, 2 and 3 years post-chemotherapy (long-term), where data was available. Baseline was defined as measurements taken at first OAC treatment. Height was measured using a length board for infants and a scale-mounted stadiometer for older children. Additional details were recorded about tumor laterality and total cumulative doses of carboplatin, topotecan, and melphalan. A total of 341 patients with 372 OAC sessions were included. This study was approved by the institutional review board of Memorial Sloan Kettering Cancer Center. All data were de-identified and analyzed anonymously.

Monthly height and weight measurements from the OAC treatment period were used to calculate growth velocities for each patient, which were compared between chemotherapy groups using the univariate ANOVA test. For long term growth analysis, height and weight percentiles were compared between groups at years 1, 2 and 3 after the start of treatment. Multivariate ANOVA models were adjusted for age, baseline measurement, and number of treatments as covariates in addition to chemotherapy group.

Height and weight percentiles were calculated for each child based on sex and age using World Health Organization (WHO) growth curves for ages up to 24 months and Centers for Disease Control and Protection (CDC) growth curves for ages greater than 24 months.

Results

Demographics of our population are shown in Table 1. Naïve patients received treatment an average of two months younger than secondary patients (16 versus 18 months: p = 0.006), and at first treatment were shorter (p<0.001) and weighed less (p = 0.001). Bridge patients began treatment at age 5 months, and were predictably smaller than patients in other groups. Patients in all groups received a median number of three OAC treatments (p = 0.23).

Table 1. Demographic and clinical characteristics, overall and by chemotherapy group.

Overall (n = 341) Bridge (n = 27) Secondary (n = 153) Naïve (n = 161) P
Female sex n(%) 182 (53.4) 17 (63.0) 85 (55.6) 79 (49) 0.29
Age at first treatment (months)–median (range) 16 (2, 122) 5 (2, 52) 18 (4, 123) 16 (3, 117) 0.006
Less than 2 years of age 245 (71.9) 23 (85.2) 110 (71.9) 112 (69.6) 0.25
Height at first treatment* (cm)–median (range) 79 (58, 138) 65 (59, 97) 82 (60, 138) 79 (58, 134) <0.001
Weight at first treatment (kg)–median (range) 10.5 (5.6, 39.5) 7.5 (5.7, 16.1) 11.0 (6.0, 35.4) 10.5 (5.6, 39.5) 0.001
Bilateral retinoblastoma 150 (44) 15 (55.6) 81 (52.9) 54 (33.5) 0.001
Number of treatments –median (range) 3 (1, 11) 3 (1, 7) 3 (1, 11) 3 (1, 9) 0.23
Chemotherapy drugs
Melphalan 335 (98.2) 26 (96.3) 151 (98.7) 158 (98.1) 0.52
Topotecan 283 (83.0) 19 (70.4) 131 (85.6) 133 (82.6) 0.15
Carboplatin 263 (77.1) 16 (59.3) 127 (83.0) 120 (74.5) 0.01
Methotrexate 2 (0.6) 1 (3.7) 1 (0.7) 0 0.08

Values report as frequent (percent), unless otherwise noted.

Group comparison performed with Chi-square test for categorical values and ANOVA for continuous variables. Fisher’s exact test used for Melphalan and Methotrexate due to small expected cell count. Total of 341 patients (372 treatment periods); 27 patients received more than none treatment.

*Available for 292 patients

†Available for 335 patients

‡ All chemotherapy data reported on last chemotherapy treatment period for each patient.

Short-term growth analysis

During OAC, bridge patients grew fastest by height (1.80 centimeters per month; 95% CI 1.38, 2.22), followed by secondary patients (1.29 cm/month; 95% CI 1.11, 1.47) and finally naïve patients (Fig 1, Table 2). These group differences in linear growth velocity are significantly different in univariate analysis (ANOVA p = 0.02). However, in pairwise comparisons only the mean difference in linear growth velocity between bridge and naïve patients was significant (Table 2). Mean change in weight was not significantly different by group in univariate analysis (ANOVA p = 0.12) (Fig 1).

Fig 1. Growth velocity by height and weight during OAC.

Fig 1

Growth velocity for height (n = 255) and weight (n = 324) during treatment by chemotherapy group. Growth slope is calculated starting at first treatment and using height and weight measurements up to time of treatment number 4 (or last available measurement prior to treatment 4); slope is calculated for patients who have a measurement available at first treatment and at least one follow-up. Mean height growth is significantly different between groups (ANOVA p = 0.02) with the mean for the bridge group significantly higher than the mean for the naïve group (mean difference: 0.66 cm/month; 95% CI: 0.10, 1.21; p = 0.01). Mean weight growth is not significantly different by group (ANOVA p = 0.12).

Table 2. Height and weight growth by group and group difference.

Univariate models Height Weight
Growth slope (cm/month) Growth slope (kg/month)
Mean (95% CI), N
Bridge 1.80 (1.38, 2.22), 24 0.45 (0.35, 0.55), 39
Naïve 1.14 (0.95, 1.33), 116 0.35 (0.30, 0.40), 157
Secondary 1.29 (1.11, 1.47), 126 0.40 (0.35, 0.45), 147
Mean difference (95% CI), P
Bridge–Naïve 0.66 (0.10, 1.21), 0.02 0.11 (-0.03, 0.24), 0.14
Bridge–Secondary 0.51 (-0.04, 1.06), 0.08 0.06 (-0.08, 0.19), 0.57
Secondary–Naïve 0.15 (-0.17, 0.47), 0.51 0.05 (-0.04, 0.13), 0.37
Multivariate models Height Weight
P-value of model predictors P-value of model predictors
Type of chemotherapy 0.40 0.27
Age at baseline <0.001 0.93
Height/weight at baseline <0.001 0.57
Number of treatments 0.31 0.18

When assessing independent predictors of growth outcomes in multivariate models, we found that type of chemotherapy is not an important predictor for growth velocity in height (p = 0.40) nor weight (p = 0.27) during the OAC treatment period (Table 2). Age at baseline is an important predictor of growth velocity in height (p<0.001) but not weight (p = 0.93). The total number of treatments received during OAC does not affect growth velocity in height (p = 0.31) nor weight (p = 0.18).

Three-year growth analysis

Annually in the three-year follow-up period, naïve patients were consistently in a higher height percentile than secondary patients, although no group differences were significantly different (Fig 2, Table 3). At two years of follow-up, naïve patients were in the 68th percentile on average, compared to the 63rd percentile for secondary patients (mean difference: 4.6 percentile points, 95% CI: -5.7, 14.9). No clear trend was seen when comparing weight percentiles. The proportion of patients who dropped more than 10 percentile points in height at 1, 2 and 3 years compared to baseline is higher in the secondary group compared to the naïve group (Table 4). At two years of follow-up, 13.0% of naïve patients had dropped more than 10 percentile points in height, compared to 21.7% in the secondary group. No clear trend was seen when comparing drop in weight percentile.

Fig 2. Height and weight percentiles at first treatment, 1, 2 and 3 year follow-up by chemotherapy group.

Fig 2

Mean height percentiles are not significantly different by group at first treatment (ANOVA p = 0.72, n = 291), 1 year (p = 0.14, n = 276), 2 year (p = 0.06, n = 203) and 3 year (p = 0.49, n = 134) follow-up. Mean weight percentiles are also not significantly different by group at first treatment (p = 0.86, n = 334), 1 year (p = 0.93, n = 290), 2 year (p = 0.65, n = 209) and 3 year (p = 0.73, n = 137) follow-up.

Table 3. Height and weight percentile by group and group difference.

Baseline 1 year 2 years 3 years
Height percentile mean (95% CI), N
Bridge 54 (39, 68), 17 54 (43, 65), 25 53 (41, 65), 23 56 (43, 69), 18
Naïve 58 (53, 63), 138 66 (61, 70), 135 68 (63, 73), 113 65 (59, 71), 83
Secondary 60 (54, 65), 136 65 (60, 70), 116 63 (57, 70), 67 62 (52, 71), 33
Height mean difference (95% CI)
Bridge–Naïve -4.0 (-22.5, 14.4) -12.0 (-26.3, 2.3) -15.0 (-30.3, 0.3) -8.5 (-25.7, 8.7)
Bridge–Secondary -5.9 (-24.3, 12.6) -11.1 (-25.6, 3.4) -10.4 (-26.6, 5.8) -5.6 (-25.0, 13.8)
Naïve–Secondary -1.8 (-10.5, 6.8) 0.9 (-7.4, 9.2) 4.6 (-5.7, 14.9) 2.9 (-10.7, 16.6)
Weight percentile mean (95% CI), N
Bridge 60 (49, 71), 27 61 (50, 72), 26 56 (44, 67), 24 59 (46, 72), 19
Naïve 57 (53, 62), 158 63 (58, 68), 145 62 (56, 67), 116 62 (56, 68), 85
Secondary 59 (54, 63), 149 63 (58, 68), 119 61 (55, 68), 69 58 (49, 68), 33
Weight mean difference (95% CI)
Bridge–Naïve 2.9 (-11.4, 17.3) -2.3 (-16.6, 12.0) -5.9 (-21.1, 9.3) -3.6 (-20.6, 13.4)
Bridge–Secondary 1.6 (-12.8, 16.1) -2.1 (-16.7, 12.4) -5.6 (-21.6, 10.5) 0.6 (-18.7, 19.8)
Naïve–Secondary -1.3 (-9.2, 6.6) 0.1 (-8.2, 8.4) 0.4 (-9.9, 10.7) 4.2 (-9.6, 17.9)

Table 4. Proportion of height and weight percentile drop >10% from baseline by group.

1 year 2 years 3 years
Height percentile drop >10% No. (%)
Bridge 5 (31.3%) 5 (31.3%) 2 (18.2%)
Naïve 18 (15.4%) 12 (13.0%) 11 (17.2%)
Secondary 25 (22.9%) 13 (21.7%) 8 (29.6%)
Weight percentile drop >10% No. (%)
Bridge 8 (30.8%) 12 (50.0%) 7 (36.8%)
Naïve 28 (19.7%) 23 (20.2%) 18 (21.7%)
Secondary 21 (18.0%) 15 (22.1%) 9 (28.1%)

Discussion

As the survival rates of retinoblastoma begin to exceed 95%, the late-effects of cancer treatment have obtained increased attention, and the long-term monitoring of survivors has become an important part of their overall health care. In addition, the understanding of long term side effects drives management. External beam irradiation was the only way advanced eyes were salvaged for most of the 20th century but, because of its impact on the development of secondary cancers, years later the technique has been abandoned worldwide [1].

Several studies have reported on psychological [15,16], behavioral [17,18], and functional outcomes [19,20] in adult survivors of retinoblastoma. While many papers report on second cancer incidence, patterns and outcomes for retinoblastoma patients, only a few [4,5,21] have reported long-term treatment-related medical conditions of retinoblastoma survivors. Suzuki et al. [4] retrospectively evaluated the long-term prognosis of intra-arterial therapy (in 408 eyes of 343 retinoblastoma patients) over a 20-year time period, but they did not report on growth outcomes. Friedman et al [5] modeled the Childhood Cancer Survivor Study and reported medical outcomes and general health of 470 adult survivors of retinoblastoma with a median follow-up of 42 years. They found that survivors of retinoblastoma were 1.4 times more likely to report any chronic condition, and 7.6 times more likely to have a severe or life-threatening chronic condition when compared with a similarly aged cohort of individuals without a history of retinoblastoma. They do not report on growth parameters during the chemotherapy administration period or the subsequent follow up period.

Acute lymphoblastic leukemia (ALL) survivors currently form the largest group of long-term survivors from childhood cancer, and treatment of ALL with chemotherapy alone during childhood has been associated with final height deficits [22,23]. The mechanism by which chemotherapy exerts its influence on growth is unclear. Several authors [23,24] have hypothesized that treatment induces hypothalamic-pituitary abnormalities ultimately leading to growth hormone (GH) deficiency.

In our study, data were collected retrospectively and we did not investigate GH secretion or pubertal status in our population. In addition, the sample size of bridge patients was too small to draw any significant conclusions and we did not pursue analysis. Their rapid growth during OAC is likely attributed to their younger age, consistent with published growth curves showing that younger infants have higher rates of linear growth [25].

Our secondary group appeared to grow more rapidly than our naïve group during treatment with OAC, but this difference was not found to be statistically significant. Both groups are above the 50th percentile for linear growth. Prior studies on systemic chemotherapy [26] have documented a “catch-up growth” phenomenon in which the cessation of intravenous chemotherapy coincides with resumption of growth and an increase in growth markers above pre-chemotherapy levels. We may hypothesize that additional treatment with OAC does not suppress this period of accelerated growth, in contrast to a previous study [27] in which a third phase of systemic chemotherapy inhibited catch-up growth. Our lack of statistical power may be related to a small sample size.

We also found that in the three-year follow-up period, both naïve and secondary patients were consistently taller than same-age children in the general population, suggesting that OAC does not affect growth whether given as primary treatment or after systemic chemotherapy, in contrast to a recent study [28] in which 26% of pediatric cancer patients (30% with retinoblastoma) treated with only systemic chemotherapy had a height less than the third percentile for that age. However, we did not have the opportunity to serially measure growth during systemic chemotherapy because we abandoned systemic chemotherapy for intraocular retinoblastoma more than 11 years ago (with the exception of bridge patients) [29].

Although a previous study [30] has reported on the prevalence of childhood obesity in pediatric cancer survivors treated with systemic chemotherapy, no such effect was seen in our naïve group at the three-year follow-up period.

The introduction of OAC has resulted in a dramatic increase in ocular retention rate without compromising patient retinoblastoma survival [31], but as with any novel therapy, long-term effects must be carefully monitored. OAC does not appear to affect linear growth during treatment, and furthermore does not appear to inhibit catch-up growth after systemic chemotherapy. OAC is not associated with short stature long-term. Further longitudinal studies are needed to assess final stature in adulthood.

Data Availability

Our raw data is available upon request. The nature of our research question mandates that our data table include ages and dates of treatment, which can be traced back to individual patients given the rarity of this disease and the identification of MSK as the treatment center. Patient privacy is therefore a concern. Our statisticians have revised the manuscript and figures/tables to provide more complete information about our results. These restrictions on data were not imposed by the IRB committee. Requests for data may be sent to catalanf@mskcc.org, our research coordinator. We are unable to provide non-author contact information because our IRB committee does not handle such requests.

Funding Statement

This study was supported by The Cancer Center Support Grant (P30 CA008748) to SSA. The Fund for Ophthalmic Knowledge, Inc. also provided partial funding for this research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Abramson DH (2014) Retinoblastoma: Saving Life with Vision. Annual Review of Medicine 65: 171–184. doi: 10.1146/annurev-med-061312-123455 [DOI] [PubMed] [Google Scholar]
  • 2.Siebler T, Shalet SM, Robson H (2002) Effects of chemotherapy on bone metabolism and skeletal growth. Horm Res 58 Suppl 1: 80–85. [DOI] [PubMed] [Google Scholar]
  • 3.Nahum MP, Gdal-On M, Kuten A, Herzl G, Horovitz Y, Weyl Ben Arush M (2001) Long-term follow-up of children with retinoblastoma. Pediatr Hematol Oncol 18: 173–179. [DOI] [PubMed] [Google Scholar]
  • 4.Suzuki S, Yamane T, Mohri M, Kaneko A (2011) Selective ophthalmic arterial injection therapy for intraocular retinoblastoma: the long-term prognosis. Ophthalmology 118: 2081–2087. doi: 10.1016/j.ophtha.2011.03.013 [DOI] [PubMed] [Google Scholar]
  • 5.Friedman DN, Chou JF, Oeffinger KC, Kleinerman RA, Ford JS, Sklar CA, et al. (2016) Chronic medical conditions in adult survivors of retinoblastoma: Results of the Retinoblastoma Survivor Study. Cancer 122: 773–781. doi: 10.1002/cncr.29704 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Fan C, Foster BK, Wallace WH, Xian CJ (2011) Pathobiology and prevention of cancer chemotherapy-induced bone growth arrest, bone loss, and osteonecrosis. Curr Mol Med 11: 140–151. [DOI] [PubMed] [Google Scholar]
  • 7.Schriock EA, Schell MJ, Carter M, Hustu O, Ochs JJ (1991) Abnormal growth patterns and adult short stature in 115 long-term survivors of childhood leukemia. Journal of Clinical Oncology 9: 400–405. doi: 10.1200/JCO.1991.9.3.400 [DOI] [PubMed] [Google Scholar]
  • 8.Katz JA, Chambers B, Everhart C, Marks JF, Buchanan GR (1991) Linear growth in children with acute lymphoblastic leukemia treated without cranial irradiation. J Pediatr 118: 575–578. [DOI] [PubMed] [Google Scholar]
  • 9.MoËLl C, Garwicz S, Marky I, Mellander L, Karlberg J (1988) Growth in Children Treated for Acute Lymphoblastic Leukemia with and without Prophylactic Cranial Irradiation. Acta Pædiatrica 77: 688–692. [DOI] [PubMed] [Google Scholar]
  • 10.Dickerman JD (2007) The late effects of childhood cancer therapy. Pediatrics 119: 554–568. doi: 10.1542/peds.2006-2826 [DOI] [PubMed] [Google Scholar]
  • 11.Abramson DH, Shields CL, Munier FL, Chantada GL (2015) Treatment of Retinoblastoma in 2015: Agreement and Disagreement. JAMA Ophthalmol 133: 1341–1347. doi: 10.1001/jamaophthalmol.2015.3108 [DOI] [PubMed] [Google Scholar]
  • 12.Schaiquevich P, Fabius AW, Francis JH, Chantada GL, Abramson DH (2017) Ocular Pharmacology of Chemotherapy for Retinoblastoma. Retina 37(1): 1–10. doi: 10.1097/IAE.0000000000001275 [DOI] [PubMed] [Google Scholar]
  • 13.Fischer C, Petriccione M, Vitolano S, Guarini E, Davis ME, Dunkel IJ (2017) The Effect of Ophthalmic Artery Chemosurgery on Immune Function in Retinoblastoma Patients: A Single Institution Retrospective Analysis. J Pediatr Hematol Oncol 39(7): 555–9. doi: 10.1097/MPH.0000000000000968 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dunkel IJ, Shi W, Salvaggio K, Marr BP, Brodie SE, Gobin YP, et al. (2014) Risk factors for severe neutropenia following intra-arterial chemotherapy for intra-ocular retinoblastoma. PLoS One 9(10): e108692 doi: 10.1371/journal.pone.0108692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Brinkman TM, Merchant TE, Li Z, Brennan R, Wilson M, et al. (2015) Cognitive function and social attainment in adult survivors of retinoblastoma: a report from the St. Jude Lifetime Cohort Study. Cancer 121: 123–131. doi: 10.1002/cncr.28924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Willard VW, Qaddoumi I, Chen S, Zhang H, Brennan R, et al. (2014) Developmental and adaptive functioning in children with retinoblastoma: a longitudinal investigation. J Clin Oncol 32: 2788–2793. doi: 10.1200/JCO.2013.53.1996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.van Dijk J, Grootenhuis MA, Imhof SM, Cohen-Kettenis PT, Moll AC, et al. (2009) Coping strategies of retinoblastoma survivors in relation to behavioural problems. Psychooncology 18: 1281–1289. doi: 10.1002/pon.1507 [DOI] [PubMed] [Google Scholar]
  • 18.van Dijk J, Oostrom KJ, Imhof SM, Moll AC, Schouten-van Meeteren AY, et al. (2009) Behavioural functioning of retinoblastoma survivors. Psychooncology 18: 87–95. doi: 10.1002/pon.1381 [DOI] [PubMed] [Google Scholar]
  • 19.Weintraub N, Rot I, Shoshani N, Pe'er J, Weintraub M (2011) Participation in daily activities and quality of life in survivors of retinoblastoma. Pediatr Blood Cancer 56: 590–594. doi: 10.1002/pbc.22790 [DOI] [PubMed] [Google Scholar]
  • 20.Desjardins L, Chefchaouni MC, Lumbroso L, Levy C, Asselain B, et al. (2002) Functional results after treatment of retinoblastoma. J aapos 6: 108–111. [DOI] [PubMed] [Google Scholar]
  • 21.Yu CL, Tucker MA, Abramson DH, Furukawa K, Seddon JM, Stovall M, et al. (2009) Cause-specific mortality in long-term survivors of retinoblastoma. J Natl Cancer Inst 101(8): 581–91. doi: 10.1093/jnci/djp046 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Dickerman JD (2007) The late effects of childhood cancer therapy. Pediatrics 119: 554–568. doi: 10.1542/peds.2006-2826 [DOI] [PubMed] [Google Scholar]
  • 23.Vandecruys E, Dhooge C, Craen M, Benoit Y, De Schepper J (2013) Longitudinal linear growth and final height is impaired in childhood acute lymphoblastic leukemia survivors after treatment without cranial irradiation. J Pediatr 163: 268–273. doi: 10.1016/j.jpeds.2012.12.037 [DOI] [PubMed] [Google Scholar]
  • 24.Rose SR, Schreiber RE, Kearney NS, Lustig RH, Danish RK, et al. (2004) Hypothalamic dysfunction after chemotherapy. J Pediatr Endocrinol Metab 17: 55–66. [DOI] [PubMed] [Google Scholar]
  • 25.Turck D, Michaelsen FK, Shamir R, Braegger C, Campoy C, Colomb V, et al. (2013) World Health Organization 2006 child growth standards and 2007 growth reference charts: A discussion paper by the committee on Nutrition of the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition. J Pediatr Gastroenterol Nutr 57(2): 258–64. doi: 10.1097/MPG.0b013e318298003f [DOI] [PubMed] [Google Scholar]
  • 26.Katz JA, Pollock BH, Jacaruso D, Morad A. (1993) Final attained height in patients successfully treated for childhood acute lymphoblastic leukemia. J Pediatr 123(4): 546–52. [DOI] [PubMed] [Google Scholar]
  • 27.Crofton PM, Ahmed SF, Wade JC, Elmlinger MW, Ranke MB, Kelnar CJ, Wallace WH. (1999) Effects of a third intensification block of chemotherapy on bone and collagen turnover, insulin-like growth factor I, its binding proteins and short-term growth in children with acute lymphoblastic leukemia. Eur J Cancer 35(6): 960–7. [DOI] [PubMed] [Google Scholar]
  • 28.Seth R, Singh A, Sandeep S, Sapra S (2017) Late effects of treatment in survivors of childhood cancers: A single-centre experience. Indian J Med Res 146: 216–223. doi: 10.4103/ijmr.IJMR_196_16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gobin YP, Dunkel IJ, Marr BP, Francis JH, Brodie SE, Abramson DH (2012) Combined, sequential intravenous and intra-arterial chemotherapy (bridge chemotherapy) for young infants with retinoblastoma. PLoS One 7(9):e44322 doi: 10.1371/journal.pone.0044322 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Reilly JJ, Ventham JC, Newell J, Aitchison T, Wallace WH, Gibson BE. (2000) Risk factors for excess weight gain in children treated for acute lymphoblastic leukaemia. Int J Obes Relat Metab Disord 24: 1537–41. [DOI] [PubMed] [Google Scholar]
  • 31.Abramson DH, Shields CL, Jabbour P, Teixeira LF, Fonseca JRF, Marques MCP, et al. (2017) Metastatic deaths in retinoblastoma patients treated with intraarterial chemotherapy (ophthalmic artery chemosurgery) worldwide. Int J Retina Vitreous 3: 40 doi: 10.1186/s40942-017-0093-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Our raw data is available upon request. The nature of our research question mandates that our data table include ages and dates of treatment, which can be traced back to individual patients given the rarity of this disease and the identification of MSK as the treatment center. Patient privacy is therefore a concern. Our statisticians have revised the manuscript and figures/tables to provide more complete information about our results. These restrictions on data were not imposed by the IRB committee. Requests for data may be sent to catalanf@mskcc.org, our research coordinator. We are unable to provide non-author contact information because our IRB committee does not handle such requests.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES