Literature DB >> 35318825

Secondary cancers after carbon-ion radiotherapy and photon beam radiotherapy for uterine cervical cancer: A comparative study.

Yuki Nitta1, Hiroto Murata1,2,3, Noriyuki Okonogi1, Kazutoshi Murata1, Masaru Wakatsuki1, Kumiko Karasawa4, Shingo Kato5, Shigeru Yamada1, Takashi Nakano6, Hiroshi Tsuji1.   

Abstract

BACKGROUND: There are limited studies on the risk of secondary cancers after carbon-ion radiotherapy (CIRT). We assessed the incidence of secondary cancers in patients treated with CIRT for cervical cancer. We also evaluated the incidence of secondary cancers in patients who received standard photon radiotherapy (RT) throughout the same period.
METHODS: This retrospective study included patients with cervical cancer who underwent curative RT at our hospital. All cancers discovered for the first time after RT were classified as secondary cancers. To compare the risk of secondary cancers among cervical cancer survivors to the general population, standardized incidence ratios (SIRs) were calculated.
RESULTS: The analysis included a total of 197 and 417 patients in the CIRT and photon RT groups, respectively. The total person-years during the observation period were 1052.4 in the CIRT group and 2481.5 in the photon RT group. The SIR for all secondary cancers was 1.1 (95% confidence interval [CI], 0.6-2.1) in the CIRT group and 1.4 (95% CI, 1.0-2.1) in the photon RT group. The 10-year cumulative incidence of all secondary cancers was 9.5% (95% CI, 4.0-21.5) in the CIRT group and 9.4% (95% CI, 6.2-14.1) in the photon RT group. The CIRT and photon RT groups were not significantly different in incidence (p = 0.268).
CONCLUSIONS: The incidence of secondary cancers after CIRT for cervical cancer was similar to that after photon RT. Validation of our findings after long-term observation is warranted.
© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  carbon-ion radiotherapy; chemoradiotherapy; neoplasms; radiation oncology; second primary; uterine cervical neoplasms

Mesh:

Substances:

Year:  2022        PMID: 35318825      PMCID: PMC9189463          DOI: 10.1002/cam4.4622

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.711


INTRODUCTION

Cervical cancer, mainly caused by chronic infection with high‐risk human papillomavirus, is common cancer in women. The number of new cervical cancer cases are estimated to be approximately 569,000 around the world annually. According to the guidelines of the national comprehensive cancer network, radiation therapy (RT) /concurrent chemo‐RT (CCRT) is the standard care for cervical cancer, except for stage IA cancers. With recent technological advancements, RT, including three‐dimensional image‐guided brachytherapy (3D‐IGBT), has become a necessary component of cervical cancer treatment. , Recent studies involving 3D‐IGBT have shown favorable clinical outcomes for cervical cancer. , , According to a recent multi‐institutional prospective study, the overall 5‐year actuarial local control rate was 92%, with limited severe toxicity to healthy organs. Carbon‐ion radiotherapy (CIRT) has two distinct advantages over conventional RT: dose localization and biological efficacy due to high linear energy transfer. , CIRT has been used to treat various types of cancers, including uterine cervical cancer. Even with CCRT, including 3D‐IGBT, the clinical results for adenocarcinoma of the uterine cervix remain poor. , , In comparison, CIRT showed favorable clinical outcomes for uterine cervix adenocarcinoma, and those results were validated in a recent multi‐institutional study. , , As treatment outcomes for cervical cancer improve, the need to control late adverse events is an important clinical issue. Typical late adverse events after administering RT/CIRT for cervical cancer include rectal complications, bladder complications, and insufficiency bone fractures. , , , , Secondary cancers are also an adverse event that deserves posttreatment attention. A previous study reported a significant 1.2‐fold (95 percent confidence interval [CI], 1.1–1.4) increased risk of developing secondary cancers in patients with cervical cancer treated with conventional definitive RT compared to the general population, equating to a 1.6‐percent excess risk per person per decade of follow‐up. Mohamad et al. recently found that CIRT for prostate cancer was associated with a lower risk of secondary cancers when compared to photon RT. Considering its dose‐localization properties, CIRT may reduce the risk of secondary cancers. However, the potential risk of secondary cancers may nonetheless increase owing to the effects of high LET radiation on normal tissues and the generation of neutron radiation during CIRT. Hence, we assessed the incidence of secondary cancers in patients treated with CIRT for cervical cancer at our institution. Moreover, we also compared the incidence with secondary cancers in patients who received conventional photon RT during the same period.

MATERIALS AND METHODS

Participants and study design

Patients with uterine cervical cancer treated at the National Institutes for Quantum Science and Technology (QST) hospital who received CIRT or photon RT between January 1, 1995, and March 31, 2016, were included in this retrospective study. The patients in the present study all had a histological diagnosis of cervical cancer and underwent definitive RT. At our hospital, all patients with cervical cancer undergo gynecological examinations, pelvic magnetic resonance imaging, and chest to abdominal computed tomography (CT) before the treatment, regardless of the treatment strategy. Thus, in the present study, there was no between‐group difference in pretreatment screening. Patients with synchronous malignancies or distant metastases, those who received RT for the para‐aortic lymph node region, those who received RT as postoperative irradiation, and those unable to complete the scheduled RT were excluded. The institutional ethics review board of the QST approved this retrospective study (number 18–012). Because of the retrospective nature of the present study, the requirement for written informed consent was waived. Instead, a document declaring an opt out policy allowing any of the patients and their families to refuse to participate in the study was posted on our institution's website.

Treatment regimens

The detailed regimens of CIRT and photon RT at our hospital have been described elsewhere. , , Both CIRT and photon RT were administered with curative intent, including whole pelvic irradiation and local tumor irradiation. However, CIRT was performed as a clinical trial and was not combined with intracavitary brachytherapy. Patients were younger than 70 years, and those who could tolerate this regimen received 40 mg/m2 of cisplatin weekly as concurrent chemotherapy. The median CIRT dose was 72.0 Gy (relative biological effectiveness [RBE] range, 52.8–74.4) delivered over a median of 20 fractions over 5 weeks (range, 20–24 fractions over 5–6 weeks). Whole pelvic irradiation and central shielding were used in photon RT, with a dose of 2.0 Gy or 1.8 Gy per fraction and a median dose of 50.0 Gy (range, 45.0–50.6). Patients with gross lymph node metastases received a 6.0–10.0 Gy boost RT at the site of the metastasis. Brachytherapy was performed using Ir‐192 with a point A prescription of 6.0 Gy in each fraction, for a total of four fractions (microSelectron HDR; Elekta Instrument AB, Stockholm, Sweden). In‐room CT was introduced in 2001, and we shifted from two‐dimensional planning to 3D‐IGBT.

Data collection

We collected information from the QST database and medical records on patient age, medical history, smoking and alcohol habits, characteristics and treatment of cervical cancer, and posttreatment course. The Charlson Comorbidity Index was applied to classify patient comorbidities. For the first 2 years, follow‐up was done every 1–3 months, then every 3–6 months for the next 3 years; after 5 years, follow‐up was done every 6–12 months, in principle. Data collection methods were similar to that employed in our previous study. In brief, medical, radiology, surgical, and pathology reports were combed for information on secondary cancers. Patients who did not receive face‐to‐face follow‐up were mailed a yearly questionnaire with specific questions about cervical cancer recurrence, adverse events after treatment, and the development of secondary cancers. Additional information on secondary cancers was gathered by calling other doctors, hospitals, and patients or their families. With the Ministry of Justice's approval, missing patient data were supplemented from the Japanese nationwide registry that includes the date and cause of death. Secondary cancers were defined as all cancers observed for the first time after the initiation of RT. Accordingly, all uterine cancers that developed after RT initiation, except those that were recurrences (as confirmed histologically), were registered as secondary cancers of the uterus. The observation period was defined as the time between the first RT session for cervical cancer and death, the second cancer diagnosis, or the last observation date before May 31, 2018, whichever came first. To compare the risk of secondary cancers among cervical cancer survivors to the general population, standardized incidence ratios (SIRs) were calculated. SIRs were computed by dividing the number of secondary cancer cases observed by the expected number of cases in each cancer location. Using data from the National Cancer Center in Japan, the expected number of secondary cancer patients were determined by applying site‐specific cancer incidence rates from the general female population to the corresponding person‐years of patients with cervical cancer in the cohort.

Statistical analysis

The Mann–Whitney U test or Welch's t‐test was employed for continuous variables, while the chi‐square test with Yates' adjustment was used for nominal variables. The cumulative incidence of secondary cancers in the CIRT and photon RT groups were compared using Gray's test. Univariate and multivariate analyses of each factor's cumulative incidence of secondary cancers were conducted using the Fine–Gray proportional hazards regression model. The following factors were used in the univariate analysis: types of RT (CIRT or photon), age, smoking and alcohol habits, Charlson Comorbidity Index, tumor histology, stage of the disease, concurrent chemotherapy, and year of treatment. Only factors with a p‐value <0.1 were used for multivariate analysis. We used propensity score matching to reduce the impact of treatment selection bias. With a caliper width of 0.2, propensity score matching was an optimal one‐to‐one match. All statistical tests were two‐sided, and all comparisons were considered statistically significant if the p‐value was <0.05. EZR version 1.54, a statistical software based on R and R Commander, was used for all analyses.

RESULTS

The present study included 197 patients in the CIRT group and 417 patients in the photon RT group. The cohort's baseline characteristics are listed in Table 1. The median observation period was 3.2 years in the CIRT group and 4.9 years in the photon RT group. The observed person‐years were 1052.4 in the CIRT group and 2481.5 in the photon RT group. The crude incidence of secondary cancers was 9 (4.6%) in the CIRT group and 28 (6.7%) in the photon RT group. The incidence per 1000 person‐years was 8.6 in the CIRT group and 11.3 in the photon RT group. The minimum time to develop any secondary cancer was 0.4 years, and the maximum time was 22.4 years. The median time to develop secondary cancers was 8.4 years in the CIRT group and 3.0 years in the photon RT group. Table S1 lists all patients with secondary cancer in the CIRT and photon RT groups. Figure 1 shows the cumulative incidence curves for all secondary cancers in the CIRT and photon RT groups. The incidence of secondary cancers did not differ significantly between the CIRT and photon RT groups (p = 0.268). The 10‐year cumulative incidence of all secondary cancers was 9.5% (95% confidence interval [CI], 4.0–21.5) in the CIRT group and 9.4% (95% CI, 6.2–14.1) in the photon RT group.
TABLE 1

Characteristics of patients in the carbon‐ion radiotherapy and photon radiotherapy cohort

Carbon‐ion (n = 197)Photon (n = 417) p‐value
Age (years)
Median (IQR)56 (47–66)66 (54–75)<0.001
Range26–8530–89
≤4022 (11%)26 (6%)
41–5053 (27%)51 (12%)
51–6042 (21%)81 (19%)
61–7047 (24%)102 (24%)
71–8032 (16%)116 (28%)
>801 (1%)41 (10%)
Smoking history
Never143 (73%)304 (73%)0.059
Ever54 (27%)102 (24%)
Unknown0 (0%)11 (3%)
Alcohol habit
No or Unknown134 (68%)317 (76%)0.046
Yes63 (32%)100 (24%)
Charlson Comorbidity Index
0–1181 (92%)386 (93%)0.891
2+16 (8%)31 (7%)
Cervical cancer histology
Squamous cell carcinoma86 (44%)378 (91%)<0.001
Adenocarcinoma95 (48%)34 (8%)
Adenosquamous carcinoma16 (8%)5 (1%)
FIGO stage (2008)

I–II

III–IVA

61 (31%)

136 (69%)

235 (56%)

182 (44%)

<0.001

Concurrent chemotherapy
No139 (71%)305 (73%)0.568
Yes58 (29%)112 (27%)
Calendar year of treatment
1995–200596 (49%)283 (68%)<0.001
2006–2016101 (51%)134 (32%)
Follow‐up (years)
Median (IQR) for all patients3.2 (1.9–5.9)4.9 (2.0–9.1)0.024
Median (IQR) for surviving patients5.2 (4.2–11.3)7.2 (4.1–11.9)0.457

Abbreviations: FIGO, The International Federation of Gynecology and Obstetrics; IQR, Interquartile range.

FIGURE 1

Cumulative incidence of overall secondary cancers after radiotherapy. The solid line indicates the incidence after carbon‐ion radiotherapy. The dotted line indicates the incidence after photon radiotherapy

Characteristics of patients in the carbon‐ion radiotherapy and photon radiotherapy cohort I–II III–IVA 61 (31%) 136 (69%) 235 (56%) 182 (44%) <0.001 Abbreviations: FIGO, The International Federation of Gynecology and Obstetrics; IQR, Interquartile range. Cumulative incidence of overall secondary cancers after radiotherapy. The solid line indicates the incidence after carbon‐ion radiotherapy. The dotted line indicates the incidence after photon radiotherapy Table 2 compares the SIRs of specific secondary cancers in the CIRT and photon RT groups to that in the general population. The SIR of all secondary cancers was 1.1 (95% CI, 0.6–2.1) in the CIRT group and 1.4 (95% CI, 1.0–2.1) in the photon RT group. There was no statistically significant difference in the incidence of secondary cancers between CIRT and photon RT in the pelvis (p = 0.388) or outside the pelvis (p = 0.353) (Figure S1). Secondary cancers occurred in the pelvis in seven of nine cases in the CIRT group and eight of 28 cases in the photon RT group. The proportion of secondary cancers occurring inside of the pelvis and the outside of the pelvis differed between the CIRT and photon beam RT groups; the incidence of secondary cancers in the pelvis was significantly higher in the CIRT group than in the photon RT group (p = 0.026, chi‐square test).
TABLE 2

Risk of second cancers by sites after primary radiotherapy

Carbon‐ion (n = 197)Photon (n = 417)
Observed number of patientsExpected number of patients

SIR

(95% CI)

Observed number of patientsExpected number of patients

SIR

(95% CI)

All subsequent cancers98.21.1 (0.6–2.1)2819.41.4 (1.0–2.1)
Hematological malignancies
Plasmacytoma10.117.9 (2.1–151.8)00.10
Solid tumors
Uterine20.37.6 (1.8–32.1)00.60
Ovary10.24.6 (0.6–34.5)10.52.0 (0.3–14.6)
Colon10.81.3 (0.2–9.1)31.91.6 (0.5–5.1)
Rectum00.2010.61.8 (0.2–13.3)
Stomach00.7061.63.8 (1.6–8.7)
Liver00.2020.53.7 (0.9–15.6)
Pancreas00.3010.81.3 (0.2–9.7)
Bile duct00.1010.24.4 (0.6–34.5)
Bladder10.110.8 (1.4–85.4)20.29.2 (2.0–42.5)
Lung10.71.5 (0.2–10.7)61.63.8 (1.6–8.7)
Breast11.50.7 (0.1–4.7)13.60.3 (0.0–2.0)
Hypopharynx00.0010.0100.7 (2.6–3940.8)
Thyroid00.2010.51.9 (0.3–13.9)
Skin (melanoma)00.0010.026.7 (2.1–337.2)
Soft tissue (pelvis)10.041.3 (4.0–431.9)10.117.5 (1.7–183.2)
Inside of the pelvis7N/A8N/A
Outside of the pelvis2N/A20N/A

Abbreviations: CI, confidence interval; N/A, not available; RT, radiotherapy; SIR, standardized incidence ratio.

Risk of second cancers by sites after primary radiotherapy SIR (95% CI) SIR (95% CI) Abbreviations: CI, confidence interval; N/A, not available; RT, radiotherapy; SIR, standardized incidence ratio. Table 3 shows the results of univariate and multivariate analyses of secondary cancer risk factors. The patient's age and calendar year of treatment were associated with the risk of secondary cancers. Regarding the patient's age, the hazard ratio was 1.07 (95% CI, 1.03–1.10) for each additional year of age at the start of treatment. For the calendar year of treatment, the risk of secondary cancers was higher in the recently treated group, with a hazard ratio of 2.72 (95% CI, 1.35–5.48). Other factors, including CIRT or photon RT, smoking, and alcohol habit, did not show any significant differences.
TABLE 3

Fine and Gray competing risk regression model (univariate and multivariate analyses) for overall second cancers

FactorUnivariate analysisMultivariate analysis
Hazard ratio (95% CI) p‐valueHazard ratio (95% CI) p‐value
Carbon‐ion vs. Photon0.64 (0.30–1.39)0.26
Age (continuous)1.07 (1.03–1.10)<0.001
Age (>62 vs. ≤62 years)2.93 (1.46–5.89)0.0033.17 (1.56–6.41)0.001
Smoking history (ever vs. never & unknown)1.31 (0.63–2.72)0.47
Alcohol habit (yes vs. no & unknown)0.85 (0.37–1.95)0.69
Charlson Comorbidity Index (0,1 vs. 2)0.85 (0.22–3.37)0.82
Cervical cancer histology (AC & ASC vs. SCC)0.50 (0.35–1.98)0.68
FIGO stage (2008) (III–IV vs. I–II)1.08 (0.54–2.15)0.83
Concurrent chemotherapy (yes vs. no)0.50 (0.20–1.26)0.14
Calendar year of treatment (2006–2016 vs. 1995–2005)2.45 (1.23–4.89)0.0112.72 (1.35–5.48)0.005

Abbreviations: AC, adenocarcinoma; ACC, squamous cell carcinoma; ASC, adenosquamous cell carcinoma; CI, confidence interval; FIGO, The International Federation of Gynecology and Obstetrics.

Fine and Gray competing risk regression model (univariate and multivariate analyses) for overall second cancers Abbreviations: AC, adenocarcinoma; ACC, squamous cell carcinoma; ASC, adenosquamous cell carcinoma; CI, confidence interval; FIGO, The International Federation of Gynecology and Obstetrics. We then examined the incidence of secondary cancers in the CIRT and photon RT groups after matching for age and calendar year of treatment conditions. The baseline characteristics of the CIRT and photon RT groups after propensity score matching are shown in Table 4. This matching showed no statistically significant difference in smoking history, alcohol habit, or Charlson Comorbidity Index between the CIRT and photon RT groups. Although the cervical cancer histology and stage were statistically significant between the two groups, the univariate and multivariate analyses showed that these were not risk factors for secondary cancers (Table 3). Thus, propensity score matching was valid in comparing the frequency of secondary cancers in the CIRT and photon RT groups. Figure 2 shows the cumulative incidence curves of secondary cancers after matching. Secondary cancers incidence did not differ significantly between the CIRT and photon RT groups (p = 0.651).
TABLE 4

Characteristics of patients in the carbon‐ion radiotherapy and photon radiotherapy with the matching of the age and calendar year of treatment

Carbon‐ion (n = 179)Photon (n = 179) p value
Age (years)
Median (IQR)57 (49–67)58 (49–67)0.930
Range31–8531–85
Smoking history
Never131 (73%)120 (67%)0.052
Ever48 (27%)54 (30%)
Unknown0 (0%)5 (3%)
Alcohol habit
No or Unknown126 (70%)133 (74%)0.478
Yes53 (30%)46 (26%)
Charlson Comorbidity Index
0–1165 (92%)172 (96%)0.177
2+14 (8%)7 (4%)
Cervical cancer histology
Squamous cell carcinoma80 (45%)154 (86%)<0.001
Adenocarcinoma85 (47%)21 (12%)
Adenosquamous carcinoma14 (8%)4 (2%)
FIGO stage (2008)
I–II53 (30%)102 (57%)<0.001
III–IVA126 (70%)77 (43%)
Concurrent chemotherapy
No130 (73%)113 (63%)0.070
Yes49 (27%)66 (37%)
Calendar year of treatment
1995–200596 (54%)96 (54%)1.000
2006–201683 (46%)83 (46%)
Follow‐up (years)
Median (IQR) for all patients3.3 (1.9–6.2)4.4 (2.0–9.7)0.089

Abbreviations: FIGO, The International Federation of Gynecology and Obstetrics; IQR, Interquartile range.

FIGURE 2

Cumulative incidence with propensity score matching of overall secondary cancers after radiotherapy. The solid line indicates the incidence after carbon‐ion radiotherapy. The dotted line indicates the incidence after photon radiotherapy

Characteristics of patients in the carbon‐ion radiotherapy and photon radiotherapy with the matching of the age and calendar year of treatment Abbreviations: FIGO, The International Federation of Gynecology and Obstetrics; IQR, Interquartile range. Cumulative incidence with propensity score matching of overall secondary cancers after radiotherapy. The solid line indicates the incidence after carbon‐ion radiotherapy. The dotted line indicates the incidence after photon radiotherapy

DISCUSSION

To the best of our knowledge, the present study is the first to investigate the frequency of secondary cancers in patients treated with CIRT for cervical cancer. It is also the first report to directly compare the risk of secondary cancers after CIRT and photon RT for cervical cancer. RT reportedly increases the incidence of secondary cancers by 1.08–1.43 in the general population. Regarding secondary cancer incidence after RT for cervical cancer, Arai et al. reported that a significant excess in secondary cancer incidence was observed in organs, such as the rectum and bladder, within the irradiated field. Thereafter, the risk of developing secondary cancer after photon RT for cervical cancer was reported to be approximately 1.2 times higher than that in the general population. In the present study, the risk of developing secondary cancers after CIRT for cervical cancer was approximately 1.1 (95% CI, 0.6–2.1) times that of the general population, and the risk of developing secondary cancer after photon RT was approximately 1.4 (95% CI, 1.0–2.1) times that of the general population, consistent with previous reports. The lower limit of the 95% CI for the SIR of secondary cancers in the CIRT group was below 1.0, indicating no apparent difference from the general population. This result may be due to an insufficient number of secondary cancer cases and observation period. In recent years, the usefulness of CIRT for hard‐to‐treat gynecologic tumors, such as malignant melanoma and adenocarcinoma of the uterine cervix, has been demonstrated in systematic reviews. , Although the benefits of CIRT seem to outweigh the risk of developing secondary cancer, further follow‐up is warranted to establish the clinical benefits of CIRT for gynecologic tumors. In the present study, patient age at the start of treatment and the calendar year of treatment were risk factors for the development of secondary cancers. No significant differences were found according to the type of RT (CIRT versus photon RT) or smoking and alcohol habits. In general, cancer incidence increases with age. In the present study, secondary cancers were defined as all cancers observed for the first time after the start of RT. Therefore, it is reasonable that age at the start of treatment may be a risk factor for developing secondary cancers. However, it is not clear why the calendar year of treatment may be a risk factor for the development of secondary cancers. In the present study, the time for development of secondary cancer was significantly shorter in the group treated in recent years (Table S2). The most reasonable explanation would be that the group treated in recent years has a shorter follow‐up time compared to the group treated earlier. Another possibility is that the technological advancement of medical devices for diagnosis has led to the early detection of secondary cancers. Unfortunately, the present analysis did not cover the details of the medical devices used to screen secondary cancer, but further research with longer follow‐up is necessary. In an epidemiological study that investigated secondary cancers after treatment for cervical cancer using any type of therapy, Arnold et al. reported that smoking and RT were risk factors for secondary cancers. This discrepancy may be explained by smoking status classification. A different result may be obtained when using the Brinkman index or changing the classification to former/current smokers. Smoking has adverse effects and may cause various diseases other than secondary cancers, , and it is essential to educate patients to quit smoking after treatment. Regarding the chemotherapy effect on secondary cancers, the presence of concomitant chemotherapy was not a significant risk factor for secondary cancers in the present study. The alkylating agent procarbazine has been reported to be a risk factor for secondary cancers of the digestive system in survivors of Hodgkin's lymphoma. Cisplatin is administered in many types of cancer, and its use is associated with an increased incidence of secondary leukemia, but to date, little information relating to secondary solid tumors is available. Thus, the risk of secondary cancer with cisplatin may not be as high as that with alkylating agents. Although there was no statistically significant difference in the incidence of secondary cancers between CIRT and photon RT in and outside the pelvis, it is worth noting that CIRT resulted in fewer secondary cancers outside the pelvis, whereas photon RT resulted in more secondary cancers outside the pelvis. A possible reason is that patients who received CIRT did not receive intracavitary brachytherapy. Lee et al. reported that organ exposure from brachytherapy, including scatter radiation, could increase the risk of secondary cancer. They reported in phantom experiments that brachytherapy could increase the risk of secondary cancers of the stomach, lungs, and breasts away from the pelvis. Furthermore, Yonai et al. reported that the amount of neutron radiation produced by carbon‐ion beams in the irradiation field is lower than that produced by 6‐MV intensity‐modulated RT or gamma‐ray irradiation of Ir‐192 when standardized by treatment dose and is almost undetectable outside of the irradiation field. Although it is necessary to consider the possibility that various factors contribute to secondary cancer development, the fact that intracavitary brachytherapy was not applied in CIRT, the distribution of neutrons might have manifested as a low incidence of secondary cancers outside the pelvis in CIRT in the present study. Mohamad et al. reported a lower risk of secondary cancers with CIRT than with photon therapy in the treatment of prostate cancer. However, in our study, the risk of developing secondary cancers from CIRT was similar to, yet not lower than that from photon RT. This discrepancy may be due to the difference in the size of the irradiation fields for prostate and cervical cancers. Maraldo et al. reported that the size of the irradiation field was a risk factor for secondary cancer development following photon RT. For CIRT in cervical cancer, the irradiation field includes the pelvic lymph node volume area; the irradiation size is similar to that of photon RT and much larger than the irradiation field for prostate cancers. Currently, scanning irradiation is achievable with CIRT instead of conventional passive irradiation. Compared with the conventional passive irradiation of CIRT, scanning irradiation not only contributes to the further improvement of the dose distribution in the irradiation field, but also reduces the neutron flux in the field by 60%–70%, because it avoids the generation of neutrons due to collisions between beamline devices and carbon ions. Thus, CIRT with scanning irradiation may reduce the risk of secondary cancers in the future. Our study had several limitations. First, the median follow‐up after treatment was as short as 4.4 years. The number of patients with secondary cancers may increase with longer observation after both photon and CIRT. In fact, the lower limit of the 95% CI for the SIR of secondary cancers in the CIRT group was below 1.0. Therefore, re‐evaluation of the findings after long‐term observation is warranted. Second, while the present study included all cancer cases that occurred after treatment, the clinical objective is to determine the risk of radiation‐induced cancers more specifically. Recently, it has been reported that certain genetic mutations are found in radiation‐induced secondary cancers. Best et al. reported that two variants at chromosome 6q21 were associated with secondary cancers in survivors of Hodgkin's lymphoma treated with radiation therapy as children but not as adults. Given the complexity of carcinogenesis, it may still be difficult to identify radiation‐induced secondary cancers among secondary cancers. However, it would be desirable to evaluate the risk of radiation‐induced cancers more specifically by genetic mutations in the future. In conclusion, we found that the incidence of secondary cancers after CIRT for cervical cancer was comparable to that after photon RT. Validation of our findings after long‐term observation is warranted.

CONFLICT OF INTEREST

None.

AUTHOR CONTRIBUTIONS

Conceptualization, YN, HM, and NO; acquisition of data, YN, NO, HM, KM, MW, KK, SK, and TN; analysis and interpretation of data, HM and NO; original draft preparation, YN, and HM; review and editing, NO, SY, TN, and HT. All authors agreed on the order in which their names are listed in the manuscript. All authors have read and agreed to the final version of the manuscript.

ETHICAL APPROVAL STATEMENT

This study was approved by the institutional ethics review board (number 18–012). Table S1‐S2 Click here for additional data file. Figure S1 Click here for additional data file.
  39 in total

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5.  The impact of involved node, involved field and mantle field radiotherapy on estimated radiation doses and risk of late effects for pediatric patients with Hodgkin lymphoma.

Authors:  M V Maraldo; M Jørgensen; N P Brodin; M C Aznar; I R Vogelius; P M Petersen; A K Berthelsen; C B Christensen; L L Hjalgrim; L Specht
Journal:  Pediatr Blood Cancer       Date:  2014-04       Impact factor: 3.167

6.  Efficacy and safety of carbon-ion radiotherapy for the malignant melanoma: A systematic review.

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Journal:  Cancer Med       Date:  2020-06-10       Impact factor: 4.452

7.  Secondary cancers after carbon-ion radiotherapy and photon beam radiotherapy for uterine cervical cancer: A comparative study.

Authors:  Yuki Nitta; Hiroto Murata; Noriyuki Okonogi; Kazutoshi Murata; Masaru Wakatsuki; Kumiko Karasawa; Shingo Kato; Shigeru Yamada; Takashi Nakano; Hiroshi Tsuji
Journal:  Cancer Med       Date:  2022-03-23       Impact factor: 4.711

8.  MRI-guided adaptive brachytherapy in locally advanced cervical cancer (EMBRACE-I): a multicentre prospective cohort study.

Authors:  Richard Pötter; Kari Tanderup; Maximilian Paul Schmid; Ina Jürgenliemk-Schulz; Christine Haie-Meder; Lars Ulrik Fokdal; Alina Emiliana Sturdza; Peter Hoskin; Umesh Mahantshetty; Barbara Segedin; Kjersti Bruheim; Fleur Huang; Bhavana Rai; Rachel Cooper; Elzbieta van der Steen-Banasik; Erik Van Limbergen; Bradley Rumwell Pieters; Li-Tee Tan; Remi Abubakar Nout; Astrid Agatha Catharina De Leeuw; Robin Ristl; Primoz Petric; Nicole Nesvacil; Kathrin Kirchheiner; Christian Kirisits; Jacob Christian Lindegaard
Journal:  Lancet Oncol       Date:  2021-04       Impact factor: 41.316

Review 9.  Prediction models for cardiovascular disease risk in the general population: systematic review.

Authors:  Johanna A A G Damen; Lotty Hooft; Ewoud Schuit; Thomas P A Debray; Gary S Collins; Ioanna Tzoulaki; Camille M Lassale; George C M Siontis; Virginia Chiocchia; Corran Roberts; Michael Maia Schlüssel; Stephen Gerry; James A Black; Pauline Heus; Yvonne T van der Schouw; Linda M Peelen; Karel G M Moons
Journal:  BMJ       Date:  2016-05-16

10.  Clinical outcomes of carbon ion radiotherapy with concurrent chemotherapy for locally advanced uterine cervical adenocarcinoma in a phase 1/2 clinical trial (Protocol 1001).

Authors:  Noriyuki Okonogi; Masaru Wakatsuki; Shingo Kato; Kumiko Karasawa; Hiroki Kiyohara; Shintaro Shiba; Daijiro Kobayashi; Takashi Nakano; Tadashi Kamada; Makio Shozu
Journal:  Cancer Med       Date:  2018-01-17       Impact factor: 4.452

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1.  Secondary cancers after carbon-ion radiotherapy and photon beam radiotherapy for uterine cervical cancer: A comparative study.

Authors:  Yuki Nitta; Hiroto Murata; Noriyuki Okonogi; Kazutoshi Murata; Masaru Wakatsuki; Kumiko Karasawa; Shingo Kato; Shigeru Yamada; Takashi Nakano; Hiroshi Tsuji
Journal:  Cancer Med       Date:  2022-03-23       Impact factor: 4.711

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