| Literature DB >> 29670654 |
Chunkit Fung1, Paul Dinh2, Shirin Ardeshir-Rouhani-Fard2, Kerry Schaffer1, Sophie D Fossa3, Lois B Travis2.
Abstract
Testicular cancer has become the paradigm of adult-onset cancer survivorship, due to the young age at diagnosis and 10-year relative survival of 95%. This clinical review presents the current status of various treatment-related complications experienced by long-term testicular cancer survivors (TCS) free of disease for 5 or more years after primary treatment. Cardiovascular disease and second malignant neoplasms represent the most common potentially life-threatening late effects. Other long-term adverse outcomes include neuro- and ototoxicity, pulmonary complications, nephrotoxicity, hypogonadism, infertility, and avascular necrosis. Future research efforts should focus on delineation of the genetic underpinning of these long-term toxicities to understand their biologic basis and etiopathogenetic pathways, with the goal of developing targeted prevention and intervention strategies to optimize risk-based care and minimize chronic morbidities. In the interim, health care providers should advise TCS to adhere to national guidelines for the management of cardiovascular disease risk factors, as well as to adopt behaviors consistent with a healthy lifestyle, including smoking cessation, a balanced diet, and a moderate to vigorous intensity exercise program. TCS should also follow national guidelines for cancer screening as currently applied to the general population.Entities:
Year: 2018 PMID: 29670654 PMCID: PMC5835297 DOI: 10.1155/2018/8671832
Source DB: PubMed Journal: Adv Urol ISSN: 1687-6369
Prevalence of cardiovascular disease risk factors in chemotherapy-treated patients in select studies since 2000.
| Prevalence of cardiovascular risk factors versus Controlsb (%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Author (year) |
| Treatment dates | Median length of follow-up (range) | Median age at follow-up (range) | Control group ( | HTN (definition) | Increased lipidsc (definition) | DM (definition) | Obesity (definition) | Metabolic syndrome (definition) |
| Meinardi et al. (2000) [ | 62 | Before 1987 | 14 y (10–20 y) | 42 y (30–50 y) | Stage I TC (40) | 39 versus 13 (SBP > 150 mmHg, DBP > 95 mmHg) | 79 versus 53 (TC ≥ 201 mg/dL) | NA | 21 versus 28d (BMI > 27.8) | NA |
| Strumberg et al. (2002) [ | 32 | 1977–1981 | 15 y (13–17 y) | 40 y (30–59 y) | None | 25 versus NA (DBP > 95 mmHg) | 81 versus NA (TC ≥ 200 mg/dL) | NA | 48 versus NA (BMI ≥ 25) | NA |
| Huddart et al. (2003) [ | 390 | 1982–1992 | 10 y (0–20 y) | 41 y (23–72 y) | Stage I TC (242) | 13 versus 9d (antihypertension medication) | 1 versus 2d (lipid-lowering medication) | NA | NA | NA |
| Nuver et al. (2004) [ | 90 | 1988–1999 | 7 y (NA) | 37 y (20–65 y) | Stage I TC (44) and healthy patients (47) | 22 versus 23 versus 11d (SBP ≥ 135 mmHg, DBP ≥ 85 mmHg) | 71 versus 59 versus 45e (LDL > 131 mg/dL) | NA | 22 versus 27 versus 11e (BMI ≥ 30) | NA |
| Nuver et al. (2005) [ | 86 | 1988–1999 | 7 y (3–13 y) | 37 y (20–65 y) | Stage I TC (44) and healthy patients (47) | NA | NA | NA | NA | 26 versus 36 versus 9e (≥3 factors per NCEP definition [ |
| Sagstuen et al. (2005) [ | 500 | 1980–1994 | 11 y (4–22 y) | 44 y (23–75 y) | Surgery-onlyf (242)g | 50 versus 39 (SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or antihypertension medication) | NA | NA | 18 versus 13h (BMI ≥ 30) | NA |
| Haugnes et al. (2007) [ | 464 | 1980–1994 | 11 y (5–22 y) | 43 y (15–52 y) | Surgery-onlyf (225) and healthy population (1150) | 45 versus 34 versus 50i (SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or antihypertension medication) | 68 versus 67 versus 84d (TC ≥ 201 mg/dL) | 3 versus 2 versus 3d (by patient self-report) | 18 versus 13 versus 21d (BMI ≥ 30) | 9 versus 7 versus 15h (≥3 factors per NCEP definition [ |
| Haugnes et al. (2010) [ | 364 | 1980–1994 | 19 y (13–28 y) | 49 y (31–69 y) | Surgery-onlyf (206) and healthy population (990) | 26 versus 12 versus 13 (antihypertension medication) | 14 versus 14 versus 9e (lipid-lowering medication) | 5 versus 4 versus 4d (by patient self-report or fasting glucose ≥ 198 mg/dL) | 17 versus 19 versus 23d (BMI ≥ 30) | NA |
| Willemse et al. (2013) [ | 194j | 1977–2008 | 7.8 y (0.1–30 y) | 39.6 y (18–70 y) | Surgery-only (57) and healthy population (360) | 29 versus 14 versus 22.5k (per NCEP definition [ | NA | NA | 29 versus 18 versus 19k (per NCEP definition [ | 16 versus 9 versus 8k (per NCEP definition [ |
| de Haas et al. (2013) [ | 173 | 1977–2004 | 5 y (3–20 y) | 37 y (19–59 y) | Healthy population (1085) | 59 versus NA (SBP ≥ 130 mmHg or DBP ≥ 85 mmHg or antihypertension medication) (AHA/NHLBI definition) | 44 versus NA (HDL <1.03 mmol/l or lipid-lowering medication) (AHA/NHLBI definition) | 14 versus NA (fasting glucose ≥5.6 mmol/l or medication) (AHA/NHLBI definition) | 17 versus NA (waist circumference ≥ 102 cm) (AHA/NHLBI definition) | 25 versus NA (≥3 factors per AHA/NHLBI definition) |
| Fung et al. (2017) [ | 952 | 1979–2015 | 4.3 y (1.0–29.9) | 37 y (19–68 y) | NHANES matched controls (952) | 16.8 versus 19.4d ever diagnosed with high blood pressure and current use of antihypertension medication | 10.5 versus NAl current use of cholesterol lowering medication | 3.1 versus NAl diabetes requiring insulin or diabetes requiring medication | 31.3 versus 35.4k BMI ≥ 30 | NA |
∗Adapted with permission from Feldman et al. [9] (Table 2). AHA: American Heart Association; BMI: body mass index; DBP: diastolic blood pressure; DM: diabetes mellitus; NHLBI: National Heart, Lung, and Blood Institute; NHANES: National Health and Nutrition Examination Survey; TC: testicular cancer; HTN: hypertension; LDL: low-density lipoprotein; NA: not available; NCEP: National Cholesterol Education Program; SBP: systolic blood pressure; TC: total cholesterol. (a) N varies slightly for individual factors due to missing data in papers for some variables. (b) Definitions of individual factors vary by study. Comparisons of chemotherapy group to controls significant unless otherwise stated; percentages vary slightly due to missing data for individual factors. (c) Cholesterol and fasting glucose values in definitions were converted from mml/L to mg/dL, where necessary for uniformity. (d) Not significant. (e) Significant versus healthy population controls but not versus surgery patients. (f) Includes both orchiectomy and primary retroperitoneal lymph node dissection patients. (g) A healthy population control group was also included in this study, but prevalence rates of cardiovascular risk factors were not reported for this control group, and therefore these data are not included in the table. (h) Significant only for patients who received >850 mg of cisplatin. (i) Significant versus surgery patients but not versus healthy controls. (j) 20 patients received carboplatin and 174 patients received combination chemotherapy. (k) Significant for patients who received combination chemotherapy compared to healthy population. (l) Significance versus controls not tested.
Figure 1Risk factors for second primary cancer (refer to text). Many influences some of which are diagrammed here may contribute to the development of multiple primary cancers, including interactions between exposures. ∗Adapted with permission from Travis [169].
Relative risks of second malignant neoplasms (SMN) in testicular cancer survivors.
| No. of patients | Calendar years of testicular cancer diagnosis | Duration of follow-up (years) | Treatment | Obs. | RR | (95% CI) | |
|---|---|---|---|---|---|---|---|
|
| |||||||
|
| |||||||
| Norwegian radium hospital [ | 2006 | 1952–1990 | Mean = 12.5 | Any | 153b | 1.7 | 1.4–1.9 |
| RT | 130 | 1.6 | 1.3–1.9 | ||||
| CT | 4 | 1.3 | 0.4–3.4 | ||||
| RT + CT | 15 | 3.5 | 2.0–5.8 | ||||
| Fourteen population-based tumor registries in Europe and North America [ | 40,576 | 1943–2001 | Mean = 11.3 | Any | 1694 | 1.9 | 1.8–2.1 |
| RT | 892 | 2.0 | 1.9–2.2 | ||||
| CT | 35 | 1.8 | 1.3–2.5 | ||||
| RT + CT | 25 | 2.9 | 1.9–4.2 | ||||
| Thirteen International Cancer Registries [ | 29,511 | 1943–2000 | Median = 8.3 | Any | 1811c | 1.7 | 1.6–1.7 |
| Netherlands testicular cancer survivor cohort [ | 2707 | 1965–1995 | Median = 17.6 | Any | 270d | 1.7 | 1.5–1.9 |
| RT | 199 | 1.7 | 1.5–2.0 | ||||
| CT | 23 | 1.4 | 0.9–2.1 | ||||
| RT + CT | 29 | 3.0 | 2.0–4.4 | ||||
| SDRT | N/A | 2.6g | 1.7–4.0 | ||||
| SDRT + MRT | N/A | 3.6g | 2.1–6.0 | ||||
| PVB/BEP | N/A | 2.1g | 1.4–3.1 | ||||
| SDRT (26–35 Gy) | N/A | 2.3g | 1.5–3.6 | ||||
| SDRT (40–50 Gy) | N/A | 3.2g | 2.1–5.1 | ||||
| Swedish family cancer database [ | 5533 | 1980–2006 | N/A | Any | 274e | 2.0 | 1.8–2.2 |
|
| 12,691 | 1980–2008 | Median = 7.0 | Initial surgery only | 99 | 0.9 | 0.8–1.1 |
| Sixteen population-based registries within the SEER program [ | Initial CT (no RT) | 111f | 1.4 | 1.2–1.7 | |||
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| Nested case-control study of leukemia in 8 population-based tumor registries in Europe and North America [ | 18,567 | 1970–1993 | N/A | No RT/CT | 4 | 1.0 | — |
| RT | 22 | 3.1 | 0.7–2.2 | ||||
| CT | 8 | 5.0 | 1.1–40 | ||||
| RT + CT | 2 | 5.1 | 0.5–28 |
∗Adapted with permission from Fung et al. J Natl Compr Canc Netw 2012; 10:545-56 (Table 2). RR: relative risk; CI: confidence interval; Obs.: observed number of cases; RT: any radiation treatment; CT: chemotherapy; IDRT: infradiaphragmatic radiation; SDRT: supradiaphragmatic radiation; MRT: mediastinal radiation; PVB: cisplatin, vinblastine, bleomycin; BEP: bleomycin, etoposide, cisplatin; N/A: not available (data not provided). (a) There was overlap in the cancer registries included in the cohort studies by Richiardi et al. [164] and Travis et al. [55], with the following countries contributing patients to both studies: Denmark, Finland, Norway, and Sweden; (b) six cases of leukemia were observed with a RR of 1.9 (95% CI: 0.7–4.1); (c) thirty-eight cases of myeloid leukemia were observed with a RR of 3.6 (95% CI: 2.6–5.0); thirteen cases of lymphoid leukemia were observed with a RR of 1.0 (95% CI: 0.5–1.7); twenty-three cases of other types of leukemia were observed with a RR of 3.5 (95% CI: 2.2–5.2); (d) six cases of leukemia were observed with a RR of 1.6 (95% CI: 0.6–3.5); (e) hazard ratios are shown, with the referent group consisting of patients treated with surgery alone (HR = 1.0). Twelve cases of leukemia were observed with a RR of 3.8 (95% CI: 2.0–6.7); (f) significantly increased risks occurred for cancers of the kidney (SIR = 3.4; 95% CI 1.8–5.7; n = 13); thyroid (SIR = 4.4; 95% CI: 2.2–7.9; n = 11); and soft tissue (SIR = 7.5; 95% CI: 3.6–13.8; n = 10).
Numbers and types of self-reported adverse health outcomes among 952 cisplatin-treated germ cell tumor survivors in North America∗.
| Adverse health outcomes (AHOs) | Total patients ( | Treatment regimen | ||
|---|---|---|---|---|
| EP (4 cycles) ( | BEP (3 cycles) ( | BEP (4 cycles) ( | ||
|
| ||||
| Median (range) | 2 (0–11) | 2 (0–9) | 2 (0–11) | 2 (0–10) |
| 0 | 194 (20.4) | 64 (21.8) | 83 (22.8) | 25 (14.7) |
| 1 | 209 (21.9) | 68 (23.1) | 71 (19.5) | 42 (24.7) |
| 2 | 191 (20.1) | 61 (20.8) | 82 (22.5) | 27 (15.9) |
| 3 | 143 (15.0) | 48 (16.3) | 48 (13.2) | 25 (14.7) |
| 4 | 96 (10.1) | 28 (9.5) | 38 (10.4) | 18 (10.6) |
| 5 or more | 119 (12.5) | 25 (8.5) | 42 (11.5) | 33 (19.4) |
|
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| Yes | 353 (37.1) | 104 (35.4) | 130 (35.7) | 65 (38.2) |
| No‡ | 599 (62.9) | 190 (64.6) | 234 (64.3) | 105 (61.8) |
|
| ||||
| Yes | 300 (31.5) | 95 (32.3) | 109 (30.0) | 56 (33.0) |
| No | 652 (68.5) | 199 (67.7) | 255 (70.0) | 114 (67.0) |
|
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| Yes | 257 (27.0) | 86 (29.2) | 78 (21.4) | 54 (31.8) |
| No | 695 (73.0) | 208 (70.8) | 286 (78.6) | 116 (68.2) |
|
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| Yes | 156 (16.4) | 49 (16.7) | 48 (13.2) | 31 (18.2) |
| No | 796 (83.6) | 245 (83.3) | 316 (86.8) | 139 (81.8) |
|
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| Yes | 110 (11.6) | 35 (11.9) | 45 (12.4) | 15 (8.8) |
| No¶ | 842 (88.4) | 259 (88.1) | 319 (87.6) | 155 (91.2) |
|
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| Yes | 100 (10.5) | 32 (10.9) | 31 (8.5) | 20 (11.8) |
| No∗∗ | 852 (89.5) | 262 (89.1) | 333 (91.5) | 150 (88.2) |
|
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| Yes | 14 (1.5) | 4 (1.4) | 4 (1.1) | 2 (1.2) |
| No‡‡ | 938 (98.5) | 290 (98.6) | 360 (98.9) | 168 (98.8) |
|
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| Yes | 178 (18.7) | 34 (11.6) | 78 (21.4) | 49 (28.8) |
| No§§ | 774 (81.3) | 260 (88.4) | 286 (78.6) | 121 (71.2) |
|
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| Yes | 29 (3.0) | 5 (1.7) | 8 (2.2) | 10 (5.9) |
| Noǁǁ | 923 (97.0) | 289 (98.3) | 356 (97.8) | 160 (94.1) |
|
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| Yes | 5 (0.5) | 0 | 0 | 4 (2.4) |
| No | 947 (99.5) | 294 (100) | 364 (100) | 166 (97.6) |
|
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| Yes | 25 (2.6) | 7 (2.4) | 6 (1.6) | 7 (4.1) |
| No∗∗∗ | 927 (97.4) | 287 (97.6) | 358 (98.4) | 163 (95.9) |
|
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| Yes | 30 (3.1) | 9 (3.1) | 10 (2.7) | 3 (1.8) |
| No | 922 (96.9) | 285 (96.9) | 354 (97.3) | 167 (98.2) |
|
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| Yes | 23 (2.4) | 6 (2.0) | 9 (2.5) | 5 (2.9) |
| No‡‡‡ | 929 (97.6) | 288 (98.0) | 355 (97.5) | 165 (97.1) |
|
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| Yes | 89 (9.3) | 26 (8.8) | 37 (10.2) | 16 (9.4) |
| No | 863 (90.7) | 268 (91.2) | 327 (89.8) | 154 (90.6) |
|
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| Yes | 93 (9.9) | 25 (8.6) | 37 (10.3) | 16 (9.5) |
| No | 851 (90.1) | 267 (91.4) | 323 (89.7) | 152 (90.5) |
|
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| Yes | 115 (12.1) | 28 (9.5) | 39 (10.7) | 34 (20.0) |
| No¶¶¶ | 837 (87.9) | 266 (90.5) | 325 (89.3) | 136 (80.0) |
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| Yes | 99 (10.4) | 34 (11.6) | 27 (7.4) | 20 (11.8) |
| No | 853 (89.6) | 260 (88.4) | 337 (92.6) | 150 (88.2) |
∗Adapted with permission from Fung et al. [40] (Table 3). BEP: bleomycin, etoposide, cisplatin; CAD: coronary artery disease; EP: etoposide, cisplatin; MI: myocardial infarction. †P values are derived from the chi-square test comparing the proportions of AHOs reported by TCS in the EPX4 and BEPX3 treatment groups. Except for Raynaud phenomenon (P < 0.01) and peripheral neuropathy (P=0.02), the P values for all other AHOs were >0.05; category includes 3 participants for whom this outcome was not stated; among all 952 participants, 270 (28.4%) reported problems hearing words, sounds, or language in crowds, 13 (1.4%) required hearing aid, and 2 (0.2%) had complete deafness (questions derived from the hearing handicap inventory by Ventry and Weinstein) [166]; 109 (11.4%) had “quite a bit” or “very much” difficulty hearing and 75 (7.9%) had “quite a bit” or “very much” reduced hearing (EORTC-CIPN20 and SCIN) ([167, 168]). Category includes 48 participants for whom this outcome was not stated; among all 952 participants, the number of patients reporting “quite a bit” or “very much” to the following questions are as follows: 123 (12.9%) tingling fingers or hands, 167 (17.5%) tingling toes or feet, 121 (12.7%) numbness in fingers or hands, 161 (16.9%) numbness in toes or feet, 34 (3.6%) shooting/burning pain in fingers or hands, 70 (7.4%) shooting/burning pain in toes or feet (EORTC-CIPN20) [167]; 134 (14.1%) pain and tingling in toes or feet, and 86 (9.0%) pain and tingling in hands or fingers (SCIN) [168]. Category includes 16 participants for whom this outcome was not stated; category includes 11 participants for whom this outcome was not stated; ∗∗ category includes 3 participants for whom this outcome was not stated; ††includes coronary artery disease, heart failure, and cerebrovascular disease (categories not mutually exclusive, and each category was counted as one AHO). Among all participants, 7 (0.7%) reported coronary artery disease (3 occurrences for coronary artery disease, 5 occurrences of angioplasty or stent, and 5 occurrences of heart attack or myocardial infarction); 1 patient reported heart failure; and 10 (1.0%) reported cerebrovascular disease (6 occurrences of transient ischemic attacks, 4 occurrences of stroke, and 1 occurrence of carotid artery surgery); ‡‡category includes 21 participants for whom this outcome was not stated; §§category includes 12 participants for whom this outcome was not stated; ǁǁcategory includes 19 participants for whom this outcome was not stated; ¶¶deep vein thrombosis (DVT) and pulmonary embolism (PE) developed simultaneously in 3 participants and was counted as one thromboembolic event for each. The remaining 2 participants reported DVT only. Category includes 19 participants for whom this outcome was not stated; ∗∗∗category includes 26 participants for whom this outcome was not stated; †††among all participants, 13 (1.4%) and 22 (2.3%) reported use of insulin and oral antiglycemic agents, respectively (categories not mutually exclusive). Category includes 15 participants for whom this outcome was not stated; ‡‡‡category includes 19 participants for whom this outcome was not stated; §§§of the 89 patients, 47 reported persistent dizziness or vertigo and 63 reported symptoms of dizziness when standing up (categories not mutually exclusive). Category includes 40 participants for whom this outcome was not stated; ǁǁǁeight participants who underwent bilateral orchiectomy were excluded from this category; ¶¶¶category include 7 participants for whom this outcome was not stated; ∗∗∗∗participants could report more than one psychotropic medication. Psychotropic medications used by the 99 participants include aripirazole (n =2), alprazolam (n = 5), amphetamine-dextroamphetamine (n = 9), bupropion (n = 10), buspirone (n = 1), citalopram (n = 6), clonazepam (n = 8), desvenlafaxine (n = 1), diazepam (n = 1), duloxetine (n = 7), escitalopram (n = 16), fluvoxamine (n = 1), fluoxetine (n = 4), hydroxyzine (n = 1), lisdexamfetamine (n = 4), lorazepam (n = 6), methylphenidate (n = 5), nortriptyline (n = 2), olanzapine (n = 2), paroxetine (n = 7), trazodone (n = 5), sertraline (n = 11), and venlafaxine (n = 7).
Figure 2Proportion of testicular cancer survivors (TCS) with excellent, very good, good, fair, and poor self-reported health by number of adverse health outcomes (AHOs). P value for association of number of AHOs with self-reported health was <0.01 (Mantel 1 df chi-square test of trend). Self-reported health was not indicated by one participant with 1-2 AHOs and one participant with 3-4 AHOs. ∗Adapted with permission from Fung et al. [40] (Figure 1).
Summary of major research recommendations: late effects of testicular cancer and its treatment.
| (1) |
| (i) Integrate observational and analytic epidemiologic studies with molecular and genetic approaches to ascertain the risk of emerging toxicities and to understand the evolution of known late effects, especially with the aging of TCS. |
| (ii) Evaluate the influence of race and socioeconomic status (SES) on the late effects of TC and its treatment. |
| (iii) Characterize long-term tissue deposition of platinum (sites and reactivity), serum levels, and correlation with late effects. |
| (iv) Evaluate the life-long burden of medical and psychosocial morbidity by treatment. |
| (v) Utilize research findings to establish evidence-based, risk-adapted, long-term follow-up care. |
| (2) |
| (i) Second malignant neoplasms (SMN) and late relapses |
| (a) Determine the effect of reductions in field size and dose of radiotherapy, along with the use of carboplatin as adjuvant therapy in seminoma patients, on the risk of SMN. |
| (b) Examine relation between platinum-based chemotherapy and site-specific risk of solid tumors, the associated temporal patterns, and the influence of age at exposure and attained age. |
| (c) Compare risk of SMN in TCS managed with surgery alone to cancer incidence in the general male population. |
| (d) Examine delaying influence of platinum-based chemotherapy (and duration and magnitude of effect) on development of contralateral testicular cancer. |
| (e) Characterize the evolution of cured testicular cancer, in particular, the molecular underpinnings of late recurrences. |
| (ii) Cardiovascular disease (CVD) |
| (a) Evaluate the contributions and interactions of subclinical hypogonadism, platinum-based chemotherapy, radiotherapy, lifestyle factors (diet, tobacco use, and physical activity), body mass index, family history of CVD, race, socioeconomic status, abnormal laboratory values, and genetic modifiers. |
| (b) Develop comprehensive risk prediction models, considering the above variables, to stratify TCS into risk groups in order to customize follow-up strategies and develop evidence-based interventions. |
| (iii) Neurotoxicity |
| (a) Evaluate evolution of neurotoxicity across TCS lifespan, role of genetic modifiers, and extent to which symptoms impact on work ability and quality of life. |
| (iv) Nephrotoxicity |
| (a) Determine whether the natural decline in renal function associated with aging is accelerated in TCS, any influence of low-level platinum exposure, and the impact of decreased GFR on CVD and all-cause mortality. |
| (b) Determine the incidence of hypomagnesemia, together with the role of modifying factors and resultant medical consequences, in long-term TCS. |
| (v) Hypogonadism and decreased fertility |
| (a) Address the incidence, course, and clinical effects of subclinical hypogonadism. |
| (b) Evaluate effect of all levels of gonadal dysfunction in TCS on CVD, premature aging, fatigue, osteoporosis, mental health, quality of life, and sexuality. |
| (vi) Pulmonary function |
| (a) Examine role of platinum compounds on long-term pulmonary damage in TCS, and interactions with other influences, including bleomycin, tobacco use, and occupational risk factors. |
| (vii) Psychosocial effects |
| (a) Identify prevalence and predictors of depression, cancer-related anxiety, fatigue, infertility-related distress, problems with sexuality and paired relationships, and posttraumatic growth. |
| (b) Examine the impact of different cultural backgrounds on posttreatment quality of life. |
| (c) Evaluate TCS work ability throughout life. |
| (d) Determine whether normal age-related declines in cognitive function are accelerated in TCS. |
| (3) |
| (i) Conduct targeted intervention trials aimed at promoting smoking cessation, healthy dietary habits, and an increase in physical activity. |
| (ii) Evaluate the role of information and communication technologies in promoting a healthy lifestyle among TCS. |
| (iii) Consider randomized, pharmacologic intervention trials among TCS with biochemical parameters approaching threshold values to avoid accelerated development into treatment-requiring CVD. |
| (iv) Determine optimal schedule of testosterone replacement therapy among TCS with clinical hypogonadism. |
| (v) Consider screening strategies for selected SMN. |
| (4) |
| (i) Evaluate genetic risk factors (identified in the general male population) as modifiers for all late effects in TCS, in particular, CVD, SMN, neurotoxicity, nephrotoxicity, hypogonadism, and psychosocial effects. |
| (ii) Investigate the role of genome-wide association studies, epigenetics, mitochrondrial DNA, microRNA, proteomics and related approaches in identifying genetic variants that contribute to the late effects of treatment. |
| (iii) Develop standardized procedures for biospecimen collection to support genetic and molecular studies, as reviewed previously. |
| (5) |
| (i) Develop comprehensive risk prediction models that incorporate genetic modifiers of late sequelae. |
∗Adapted with permission from Travis et al. [161] (Table 2).