The P value compares SMN incidence by cancer survivor status using the Fine and Gray method. A different scale for the y axis is used in panel B to allow the visual distinction of curves.
eTable 1. Summary of Algorithms for Determining Multiple Primaries for Breast Cancer, Lymphoma, Melanoma and Testicular Cancer Based on the SEER Multiple Primary Rules
eTable 2. Distribution of Types of Second Malignant Neoplasm Among Cancer Survivors and First Primary Cancer Among the Comparison Cohort Diagnosed During the Study Follow-up Period
eTable 3. Risk Factors for SMN Among Survivors of AYA Cancer of the Five Most Common First Cancer Type—Multivariable Poisson Regression
eTable 4. Hazard Ratio of Mortality Risk After Developing SMN in Cancer Survivors Compared With Mortality After Developing First Cancer in the Comparison Cohort
eFigure 1. Study Population Flowchart
eFigure 2. Cumulative Incidence Function of SMN Considering Competing Risk by First Cancer Type
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Chao C, Bhatia S, Xu L, et al. Incidence, Risk Factors, and Mortality Associated With Second Malignant Neoplasms Among Survivors of Adolescent and Young Adult Cancer. JAMA Netw Open. Published online June 07, 20192(6):e195536. doi:10.1001/jamanetworkopen.2019.5536
What are the incidence patterns and risk factors for second malignant neoplasms (SMN) among survivors of adolescent and young adult cancer?
This cohort study of 10 574 survivors of adolescent and young adult cancer found that these individuals had a 2.6-fold greater risk of developing SMN compared with individuals with no history of cancer. Risk factors for SMN included demographic factors, stage at diagnosis, and radiation therapy and varied by first cancer type, with survivors of breast cancer, melanoma, and testicular cancer having substantially elevated risk for SMN of the same type.
This study suggests that SMN risk is elevated in survivors of adolescent and young adult cancer and provides data that may be used to identify individuals at high risk and inform screening for SMN.
Detailed data describing the epidemiology of second malignant neoplasms (SMN) are needed for survivors of adolescent and young adult (AYA) cancer to inform the development of age-appropriate survivorship care guidelines.
To describe the incidence, risk factors, and mortality for SMN in survivors of AYA cancer.
Design, Setting, and Participants
This retrospective matched cohort study included 10 574 two-year survivors diagnosed with cancer between January 1, 1990, and December 31, 2012, at age 15 to 39 years in an integrated health care delivery system in Southern California. A comparison cohort without a history of cancer was individually matched 13:1 to survivors of AYA cancer by age, sex, and calendar year. Data analysis was completed in July 2018.
Secondary malignant neoplasm risk factors of interest included age, stage, and calendar year at first cancer diagnosis; sex; race/ethnicity; radiation therapy; and chemotherapy.
Main Outcomes and Measures
Diagnoses of SMN were ascertained using cancer registries from the National Cancer Institute Surveillance, Epidemiology, and End Results Program through December 31, 2014. Poisson regression was used to evaluate the association between cancer survivor status and developing SMN and risk factors for SMN, while risk of all-cause mortality by SMN status was examined in Cox regression.
A total of 10 574 survivors of AYA cancer (6853 [64.8%] female; median [range] age, 33 [15-39] years; 622 with SMN) and 136 683 participants in the comparison cohort (88 513 [64.8%] female; median [range] age, 33 [15-39] years; 3437 with first cancer) were included. In survivors of AYA cancer, 20-year cumulative incidence of SMN was 12.5%. The incidence rate ratio (IRR) of developing SMN in survivors of AYA cancer was 2.6 (95% CI, 2.4-2.9) compared with the comparison cohort. Survivors of breast cancer, melanoma, and testicular cancer had substantially elevated risk for SMN of the same organ (IRR, 5.6 [95% CI, 4.6-6.8], 11.2 [95% CI, 7.3-17.2], and 16.2 [95% CI, 6.8-38.4], respectively). Among survivors of AYA cancer, older age (IRR for age 30-39 years, 1.79 [95% CI, 1.21-2.65]), female sex (IRR, 1.31 [95% CI, 1.09-1.57]), white race/ethnicity (IRR for Asian race, 0.61 [95% CI, 0.43-0.87]), advanced stage at first cancer diagnosis (IRR for stage II, 1.29 [95% CI, 1.11-1.65]), and use of radiotherapy (IRR, 1.50 [95% CI, 1.26-1.79]) were associated with increased risk of SMN. Survivors of AYA cancer who developed SMN had an all-cause mortality rate 7.2 (95% CI, 6.1-8.5) times greater than survivors without SMN.
Conclusions and Relevance
This study suggests that SMN risk is elevated in survivors of AYA cancer and varies across survivor subgroups. Survival following SMN may be significantly compromised. These data may form the basis for identifying individuals at high risk, as well as informing screening for SMN.
Second malignant neoplasms (SMN) are among the most debilitating late effects in cancer survivors.1,2 In survivors of childhood cancers, SMN is the most common cause of non–relapse-related mortality.3 In an analysis using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) data, the majority of individuals with 2 primary cancers died of their SMN rather than their initial cancer.4 Therefore, prevention and early detection of SMN are critical for prolonging life for cancer survivors.5,6
Extensive effort has been made to characterize SMN in survivors of childhood cancer.7-11 However, this knowledge may not be applicable to survivors of cancers diagnosed later in life. The risk and risk factors for SMN vary across age groups because of differences in primary cancers, treatment exposures, age at exposures, exposure to other etiological factors, and background incidence,12 necessitating age-specific approaches for managing SMN risk among cancer survivors.
Adolescents and young adults (AYAs; defined as individuals aged 15-39 years) have been an understudied population for cancer survivorship. Several studies have evaluated SMN risk by age groups13-15 or in survivors of cancer types that are more common in AYAs.16-20 Most of these studies have examined data from large cancer registries such as SEER and used an external comparison group (eg, the general population) for evaluating the excess risk of SMN. However, using external comparison for causal inference is associated with several known limitations,21 including the inability to address potential incomparability between cancer survivors and the general population, such as insurance status and health care access.22 Information on therapeutic agents is also not typically available in these cancer registries. Furthermore, detailed characterization of timing and risk factors for SMN in survivors of AYA cancer remain largely incomplete in the literature.
In the current study, we evaluated the development of SMN in survivors of AYA cancer who were members of Kaiser Permanente Southern California (KPSC) using a matched cohort design, providing an internal comparison with similar demographic characteristics, socioeconomic status, and access to health care. We used existing electronic medical records to examine the association between treatment exposures and SMN in survivors of AYA cancer. Our objective was to provide a comprehensive assessment of SMN risk in survivors of AYA cancer using study methods that minimized confounding to inform survivorship care planning for survivors of AYA cancer.
Kaiser Permanente Southern California is an integrated health care organization that provides comprehensive health services to more than 4.4 million racially/ethnically and socioeconomically diverse members (approximately 1% of the US population) who are broadly representative of residents in Southern California.23,24 Members of KPSC who met the following criteria were included in the cohort of survivors of AYA cancer: (1) diagnosed with invasive cancer at age 15 to 39 years between 1990 and 2012 at KPSC; (2) survived for at least 2 years (index date) after cancer diagnosis; and (3) retained KPSC membership at index date. Among individuals who met the inclusion criteria, those diagnosed with another primary cancer before the index date were excluded, as we were mainly interested in SMN that occurred after completion of treatment to inform posttreatment surveillance strategies. We identified survivors of AYA cancer using KPSC’s SEER-affiliated cancer registry. Quality of the cancer registry data is assured by the SEER standard and is audited by SEER staff on a regular basis.25
Members of KPSC without a history of cancer were included as a reference group (referred to as the comparison cohort in this article) to survivors of AYA cancer. Participants in the comparison cohort were matched 13:1 to each individual cancer survivor by age (yearly), sex, and calendar year of the index date. They were identified from those who were KPSC members in the year of the corresponding cancer diagnosis for a cancer survivor and who survived and remained as a KSPC member 2 years after (ie, after the index date). This study was approved, and the requirement of informed consent waived, by KPSC’s institutional review board. This article follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.26
All study participants were followed up from index date to death or end of 2014 (for SMN or first cancer) or end of 2015 (for mortality outcome), whichever came first. Diagnoses of malignant neoplasms, including those made outside of the KPSC system (eg, if a participant terminated KPSC membership during study follow-up), were identified using both KPSC’s cancer registry and the California State Cancer Registry. Both registries are SEER-affiliated and do not capture relapse or metastasis. As a result, a second cancer record for the same participant was considered SMN. For SMN of the same organ or type as the first cancer, SEER used a set of multiple primaries rules to distinguish SMN from recurrence.27,28 These rules differ by cancer types. For solid tumors, the determining factors may involve histology, biology, or clinical presentation, among other factors, while for hematologic cancers, the rules were mainly based on histology. The SEER multiple primaries rules for the most common first cancer types in survivors of AYA cancer are illustrated in eTable 1 in the Supplement. Nonmelanoma skin cancer was not included in this study as it was not consistently captured by the cancer registries.
Covariates of interest included demographic characteristics, cancer characteristics, exposure to chemotherapy and radiation therapy, and death information. All data for this study were collected using KPSC’s electronic health records and cancer registries, except for information on death, which was also collected using outside claims, California State Death Files, and national Social Security death files. Specifically, race/ethnicity information was obtained from KPSC’s membership file and the cancer registry.
The distribution of demographic, cancer, and treatment characteristics and the incidence rate of subsequent cancer were calculated. The crude and the adjusted incidence rate ratios (IRRs) of SMN associated with being a survivor of AYA cancer compared with those in the comparison cohort were estimated using bivariate and multivariable Poisson regression adjusting for age, sex (except for breast, cervix, ovary, and testicular cancer), and race/ethnicity, for the overall study cohort and by patient characteristics, first cancer type, and SMN type. We also calculated IRRs for specific SMN among the most common first cancer types in survivors of AYA cancer (ie, breast, lymphoma, melanoma, and testicular cancer). For breast SMN among breast cancer survivors, a sensitivity analysis was performed including only breast second primary malignant neoplasms of different histology or laterality (about 70% of all identified breast SMN) from the first cancer. All testicular second primary malignant neoplasms identified in this study had different laterality from the first testicular cancer.
The cumulative incidence of SMN over the study follow-up period was calculated using nonparametric methods accounting for competing risk and presented graphically for visual inspection, for the study cohort and by selected common first cancer type.29 Differences in cumulative incidence were tested using the Gray test.30
Among survivors of AYA cancer, multivariable Poisson regression was performed to evaluate the association of age, sex, race/ethnicity, first cancer type, TNM stage at diagnosis, and exposure to radiation therapy on risk of SMN, overall and separately with solid vs nonsolid SMN (defined as lymphomas, leukemias, and myelomas). The association of initial cancer type was evaluated in separate analyses restricted to the more prevalent cancer types, ie, breast cancer, lymphoma, testicular cancer, melanoma, and thyroid cancer. The associations of exposures to selected chemotherapy agents (alkylating agents, anthracycline, platinum, and epipodophyllotoxins) were evaluated in another analysis restricted to those diagnosed between 2000 and 2012, when chemotherapy data became accessible electronically.
Risk factors for SMN were also evaluated separately for the most common first cancer types among survivors of AYA cancer. As sample size allowed, risk factor analyses were also conducted for breast SMN among breast cancer survivors and melanoma SMN among melanoma survivors.
For the overall risk factor analyses, sensitivity analyses excluding breast SMN and, separately, melanoma SMN as outcomes were conducted to further understand whether these SMN might be driving the associations observed given that they were the 2 most common SMN types.
The increase in all-cause mortality after a diagnosis of SMN in survivors of AYA cancer relative to that after the first cancer diagnosis in the comparison cohort was examined in bivariate and multivariable Cox models adjusting for age, sex, and race/ethnicity. Among survivors of AYA cancer, the risk of all-cause mortality associated with having an SMN was evaluated using a time-dependent Cox model to account for the time-varying nature of SMN diagnosis, adjusting for age, sex, race/ethnicity, stage at diagnosis, and cancer type. All analyses in this study were completed by July 2018 with SAS statistical software version 9.3 (SAS Institute Inc). A 2-sided P value less than .05 was considered statistically significant.
A total of 14 753 KPSC members between ages 15 and 39 years were diagnosed with invasive cancer during 1990 to 2012 at KPSC. Of these, 12 994 (88%) survived at least 2 years and were eligible for this study. After applying the exclusion criteria, 10 574 survivors of AYA cancer (6853 [64.8%] female; median [range] age, 33 [15-39] years; 622 with SMN) were included in the analyses with 136 683 participants (88 513 [64.8%] female; median [range] age, 33 [15-39] years; 3437 with first cancer) in the matched comparison cohort (eFigure 1 in the Supplement). Among survivors of AYA cancer, 7% were aged 15 to 19 years; 24%, 20 to 29 years; and 68%, 30 to 39 years. Approximately 47% were non-Hispanic white. The most common first cancer diagnosis was breast cancer (17%), followed by thyroid cancer (14%), melanoma (11%), lymphomas (11%), and testicular cancer (9%). One-quarter (25%) of survivors of AYA cancer received external beam radiation therapy. In survivors of AYA cancer diagnosed in 2000 to 2012, exposure to selected chemotherapy agents ranged from 7% for epipodophyllotoxins to 24% for anthracyclines (Table 1).
The survivors of AYA cancer and the comparison cohort contributed 93 290 and 1 379 136 person-years of observation, respectively, through December 31, 2014. During the study period, 622 survivors of AYA cancer developed an SMN (6.7 per 1000 person-years). The 10- and 20-year cumulative incidence of SMN from index date was 5.6% and 12.5%, respectively. Of survivors of AYA cancer who developed SMN, the most common SMN types were breast cancer (32%), melanoma (14%), and ovarian cancer (5%). Ninety-three percent of the SMN were solid tumors (Table 2). As a group, gastrointestinal cancers also constituted a substantial proportion (11%) of SMN (eTable 2 in the Supplement). The median (range) follow-up time in survivors of AYA cancer was 7.7 (0-23.0) years from the index date, or 9.7 (2-25) years after initial cancer diagnosis.
Survivors of AYA cancer had a 2.6-fold (95% CI, 2.4-2.9) increased risk of subsequent malignant neoplasm compared with the comparison cohort (Table 2). The IRR was significantly elevated for all demographic subgroups and was greatest for those aged between 15 and 19 years at first cancer diagnosis (adjusted IRR [aIRR], 7.5 [95% CI, 4.8-11.8]). The aIRR for SMN was significantly elevated for all primary cancer types, except for thyroid and cervical cancer. The aIRR for SMN was also significantly elevated for most SMN cancer types, except for cancer of the cervix, uterus, central nervous system, and thyroid. Risk for SMN was highest for bone SMN (aIRR, 11.4 [95% CI, 4.3-30.7]).
The IRR for specific pairs of first and second cancer showed unique SMN patterns across different first cancer types (Table 3). Survivors of breast cancer, melanoma, and testicular cancer had 5.62 (95% CI, 4.63-6.83), 11.22 (95% CI, 7.34-17.16), and 16.17 (95% CI, 6.80-38.43) times greater risk of developing another breast cancer, melanoma, and testicular cancer, respectively, compared with the comparison cohort. In the sensitivity analysis, aIRR for developing another breast cancer of different histology or laterality among breast cancer survivors was 4.3 (95% CI, 3.5-5.4). Breast cancer survivors also had elevated risk for subsequent ovarian cancer (aIRR, 5.3 [95% CI, 2.7-10.4]) and melanoma (aIRR, 2.95 [95% CI, 1.45-6.00]). Risk for developing a breast SMN was elevated in lymphoma and melanoma survivors (aIRR, 2.31 [95% CI, 1.18-4.51] and aIRR, 1.80 [95% CI, 1.04-3.12], respectively). Survivors of testicular cancer were also at increased risk of subsequent prostate cancer (aIRR, 2.9 [95% CI, 1.2-7.2]).
The trajectory of overall SMN cumulative incidence functions varied by first cancer type (eFigure 2 in the Supplement). In breast cancer survivors, cumulative incidence increased steadily over the follow-up period. By contrast, a steeper increase in incidence was observed 18 to 20 years after diagnosis in lymphoma, melanoma, and testis cancer survivors.
The Figure shows the cumulative incidence functions by specific pairs of first (breast, melanoma, testis) and second cancer. Increased risk of SMN of the same type as the first cancer, but not for other SMN types examined, was apparent immediately after index date (eg, melanoma SMN among melanoma survivors, shown in Figure, C).
Among survivors of AYA cancer, older age at diagnosis (IRR for age 30-39 years, 2.09 [95% CI, 1.35-3.25]), female sex (IRR, 1.38 [95% CI, 1.14-1.67]), advanced stage at diagnosis (IRR for stage II, 1.31 [95% CI, 1.07-1.60]), and exposure to radiation therapy (IRR, 1.56 [95% CI, 1.30-1.87]) were independently associated with greater risk of solid SMN (Table 4). On the other hand, Asian race/ethnicity (IRR compared with non-Hispanic white, 0.60 [95% CI, 0.41-0.86]), and more recent calendar period of diagnosis (IRR for diagnosis in 2003-2014 compared with 1990-2002, 0.81 [95% CI, 0.67-0.97]) were associated with lower risk of solid SMN. For nonsolid SMN, Hispanic race/ethnicity (IRR, 1.99 [95% CI, 1.01-3.95]) advanced stages at diagnosis (IRR for stage II, 2.58 [95% CI, 1.04-6.43]; IRR for stage III/IV, 4.41 [95% CI, 1.77-11.00]), and cancers for which TMN stage were not applicable (IRR, 5.17 [95% CI, 2.13-12.56]) were associated with higher risk. In sensitivity analysis excluding breast SMN as an outcome, female sex was no longer associated with increased SMN risk (IRR, 0.77 [95% CI, 0.63-0.94]). In sensitivity analyses excluding melanoma SMN, Asian race/ethnicity was no longer associated with reduced risk of solid SMN (IRR, 0.79 [95% CI, 0.55-1.13]).
In analyses restricted to the 5 most common first cancer types, survivors of breast cancer (aIRR, 2.80 [95% CI, 1.84-4.26]) and melanoma (aIRR, 2.67 [95% CI, 1.78-4.02]) had the greatest increased risk of solid SMN compared with thyroid cancer. Among those whose first cancer was diagnosed in 2000 to 2012, none of the chemotherapy agents examined were significantly associated with SMN, solid or nonsolid (Table 4).
Among breast cancer survivors, Asian individuals had lower risk of developing any SMN (aIRR, 0.50 [95% CI, 0.27-0.93]) or breast SMN, while radiotherapy was associated with increased risk of any SMN (aIRR, 1.52 [95% CI, 1.12-2.05]) or breast SMN (eTable 3 in the Supplement). Among melanoma survivors, advanced stage at diagnosis was associated an almost 3-fold risk of any SMN (aIRR, 2.83 [95% CI, 1.40-5.71]) but not melanoma SMN. Among lymphoma survivors, black race and radiation therapy were associated with increased risk of SMN. Demographic characteristics, stage, and radiation therapy (for testicular cancer) were not associated with risk of SMN among testicular and thyroid cancer survivors (eTable 3 in the Supplement).
The 5-year overall mortality following an SMN diagnosis was 31.9% (128 of 401) for survivors of AYA cancer. Adjusted hazard ratio (aHR) for mortality after developing SMN was 1.90 (95% CI, 1.61-2.24) for survivors of AYA cancer compared with mortality after developing first cancer in the comparison group (eTable 4 in the Supplement). Among survivors of AYA cancer, those with SMN were at 7-fold increased risk of dying compared with survivors who did not develop SMN (aHR, 7.17 [95% CI, 6.06-8.49]).
We observed a 3-fold SMN risk increase in survivors of AYA cancer compared with a demographically matched comparison cohort who did not have a history of cancer at the index date. This risk increase was primarily driven by solid SMN. Increased risk for SMN varied by patient characteristics, first cancer type, and SMN type. Among survivors with primary breast cancer, melanoma, and testicular cancer, a particularly elevated risk for SMN of the same organ was found. Overall, we observed several demographic, clinical, and treatment characteristics to be associated with SMN. Furthermore, risk factors for SMN appeared to differ by first cancer type. These findings have important implications for prevention and early detection strategies for SMN and could inform the development of cancer screening guidelines for survivors of AYA cancer.
In general, an SMN risk increase of 4 to 6 times has been reported for childhood cancer survivors compared with the general population.8,14,31 However, survivors of AYA cancer bear a greater absolute burden of SMN.14 A few studies have specifically examined relative risk of SMN among survivors of AYA cancer, and all used an external group for comparison.13-15,31 Although previous studies have used different methods, a moderately elevated risk of SMN has been consistently reported.
For survivors of AYA breast cancer, melanoma, and testicular cancer, our data suggest a need for an early detection program for subsequent cancer of the same organ. We used the SEER multiple primary rules established by expert consensus to determine SMN of the same organ in this observational study. While potential misclassification of second primary vs recurrence is possible, a more conservative IRR estimate of developing breast SMN of different histology or laterality among breast cancer survivors resulted in a similar conclusion, suggesting that the implication of our findings for early surveillance is likely valid. The association observed between breast and ovarian cancer as well as between breast cancer and melanoma is consistent with patterns of a shared genetic predisposition (eg, BRCA1 and/or BRCA2).32,33 Increased risk of prostate cancer among testicular cancer survivors has not been commonly reported and should be further studied accounting for prostate cancer screening practices.
In our study, female survivors were at greater risk of SMN compared with male survivors, likely because breast cancer was the most common SMN type in this age group. In fact, in a sensitivity analysis excluding breast SMN, female participants were at decreased risk of SMN. Similarly, lower risk in Asian participants for solid SMN could be partially due to the lower risk of melanoma in Asian populations,34 as, in the sensitivity analysis excluding melanoma SMN, Asian individuals were no longer at lower risk of SMN. Recent calendar period was associated with lower risk of solid SMN, which could be due to the longer latency of solid SMN. The potential reason for higher risk of nonsolid SMN in Hispanic participants is unclear. We did not observe an association with SMN risk, solid or nonsolid, for any of the chemotherapy categories examined. Although the follow-up time for the chemotherapy analysis was considered limited for evaluating risk of solid tumor SMN, it was reasonable for evaluating nonsolid SMN as most nonsolid malignancies linked to chemotherapy are expected to develop early.
We found different risk factors for SMN by first cancer type, suggesting potentially varying pathogenic mechanisms of SMN by first cancer type. Among breast cancer survivors, despite generally increased breast cancer risk associated with advanced age, younger age at initial diagnosis was not associated with lower risk for subsequent SMN or breast SMN, arguing for a strong genetic predisposition for those diagnosed at young age. As expected, radiotherapy is a risk factor that should be considered for SMN surveillance. In melanoma survivors, advanced stage at diagnosis was associated with an almost 3-fold risk of developing nonmelanoma SMN. Black race and radiation were associated with SMN in lymphoma survivors. The underlying reasons for these observations (except for radiation) are not fully understood.
Those with SMN were at 7-fold increased risk of dying compared with survivors who did not develop SMN. A recent study by Keegan and colleagues35 reported worse survival outcomes following SMN compared with those who develop first malignancy of the same type, and this difference was more profound in AYAs than in older adults. A study in breast cancer survivors showed that early detection of the second primary breast cancer was linked to improved relative survival by about 30% to 50%,5 supporting implementation of effective screening strategies. The role of traditional cancer risk factors and genetic testing for SMN prevention need to be addressed by future studies.36-38
There are several limitations that should be considered. In addition to those we have described, cancers diagnosed among patients moving out of California would be missed. We were also unable to perform stratified analyses by more first cancer types or by SMN type owing to limited power. Furthermore, we did not examine the association with radiation field or dose-response relationships. The generalizability of our findings to those without insurance should also be confirmed. Despite the limitations, our study has several unique strengths. First, we used an internal comparison group with equal health care access, eliminating the potential concern of confounding due to differential access and insurance coverage in prior registry-based studies in the United States. Second, we characterized the pairwise relationship between specific first and second cancer type among the most common first cancer types in AYAs, which has implications for SMN prevention and screening. For example, counseling can be offered for female melanoma survivors about breast cancer risk and prevention. We were also among the first to evaluate the association between exposure to a specific class of chemotherapy agents and SMN risk in AYAs, which could not be done in registry-based studies.
This study provided a detailed overview of SMN focusing on survivors of AYA cancers using an internal, individually matched comparison cohort without a history of cancer and characterized in detail the cumulative incidence function and risk factors for SMN among survivors of AYA cancer. Additional studies are needed to characterize SMN risk factors within specific pairs of first and second malignant neoplasm type to inform the development of tailored screening and prevention guidelines. Given the challenge of long-term follow-up of survivors of AYA cancer in a traditional cohort setting,39 retrospective analysis of members from integrated health systems with access to information on detailed treatment history, lifestyle, and genetic risk factors via electronic medical records may be one of the most promising approaches to further understand the role of treatment and other cancer risk factors in SMN development, especially when enhanced with linkage with large-scale registries or surveys.
Accepted for Publication: April 17, 2019.
Published: June 7, 2019. doi:10.1001/jamanetworkopen.2019.5536
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Chao C et al. JAMA Network Open.
Corresponding Author: Chun Chao, PhD, Department of Research and Evaluation, Kaiser Permanente Southern California, 100 S Los Robles Ave, Second Floor, Pasadena, CA 91101 (firstname.lastname@example.org).
Author Contributions: Dr Chao had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Chao, Bhatia, Xu, Cooper, Armenian.
Acquisition, analysis, or interpretation of data: Chao, Xu, Cannavale, Wong, Huang, Armenian.
Drafting of the manuscript: Chao, Xu.
Critical revision of the manuscript for important intellectual content: Chao, Bhatia, Cannavale, Wong, Huang, Cooper, Armenian.
Statistical analysis: Chao, Xu, Wong.
Obtained funding: Chao.
Administrative, technical, or material support: Chao, Cannavale, Huang.
Supervision: Chao, Bhatia, Armenian.
Conflict of Interest Disclosures: None reported.
Funding/Support: This study was supported by American Cancer Society Research Scholar Grant RSG-15-016 CPHPS.
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: We thank the patients of Kaiser Permanente for helping us improve care through the use of information collected through our electronic health record systems.
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