Literature DB >> 36224239

Family cancer history and smoking habit associated with sarcoma in a Japanese population study.

Yoshihiro Araki1,2, Norio Yamamoto2, Yoshikazu Tanzawa1,2,3, Takahiro Higashi4, Aya Kuchiba5, Katsuhiro Hayashi2, Akihiko Takeuchi2, Shinji Miwa2, Kentaro Igarashi2, Makoto Endo1,6, Eisuke Kobayashi1, Hiroyuki Tsuchiya2, Akira Kawai7.   

Abstract

Sarcoma is a rare cancer, and little is known about the etiology, lifestyle epidemiology, and actual circumstances of treatment in hospitals in Japan. Understanding these issues is essential for the effective prevention and treatment of sarcoma. We therefore investigated the incidence of a personal and family cancer history in a total of 1320 sarcoma patients at the National Cancer Center Hospital. In addition, obesity, hypertension, dyslipidemia, diabetes mellitus, drinking, smoking, age and sex were compared in a descriptive study of 1159 of these sarcoma patients who were ≥ 20 years of age, and 7738 controls derived from the National Health and Nutrition Examination Survey in Japan. A total of 8% of sarcoma patients had a personal history of another cancer, and 30% of soft tissue sarcoma patients had a family cancer history in a first-degree relative (malignant peripheral nerve sheath tumor, 52%; leiomyosarcoma, 46%). A smoking habit was associated with the development of sarcoma (odds ratio [OR], 2.05; 95% confidence interval, 1.78-2.37; p < 0.01). According to the histology, the ORs for undifferentiated pleomorphic sarcoma (UPS) of bone, UPS of soft tissue, and liposarcoma were 5.71, 3.04, and 2.92, respectively. A family cancer history may be associated with certain soft tissue sarcomas, and a smoking habit was significantly associated with the development of sarcomas; however, further studies are necessary.
© 2022. The Author(s).

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Year:  2022        PMID: 36224239      PMCID: PMC9556776          DOI: 10.1038/s41598-022-21500-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Sarcoma is a rare cancer, and the annual incidence of soft tissue sarcoma is approximately 50 cases per 1 million population, while that of bone sarcoma is approximately 5 cases per 1 million population, and there are more than 50 distinct histological subtypes of sarcoma in the 2013 World Health Organization (WHO) classification[1]. The rarity of the disease and the diversity of their subtypes make it difficult to investigate the factors in personal and family history of cancer that are possibly associated with novel genetic disorders, and in addition, to examine the risk factors for sarcoma, such as lifestyle habits and lifestyle-related diseases; thus, the knowledge about its etiology, lifestyle epidemiology, and actual circumstances of treatment in hospitals in Japan is limited[2,3]. Understanding these issues is essential for the management of these diseases, and providing standard treatment for sarcoma; thus, its elucidation is urgently demanded. A personal or family cancer history increases the risk of breast, colorectal, gastric, and bladder cancer[4-9], which includes the genetic disorders such as BRCA1/2, BRAF, KRAS, and p53. In the previous studies, 30–40% of sarcoma patients had a first-degree relative with a history of cancer (i.e., breast cancer, lung cancer); however, the histological types of sarcoma are not specified due to the relatively small study population[10-12]. Some syndromes are associated with both personal or family history of cancer and sarcoma. Li–Fraumeni syndrome is well known to be associated with a personal or family history of breast cancer, and the development of certain subtypes of sarcoma, including rhabdomyosarcoma, liposarcoma, leiomyosarcoma, and osteosarcoma, and this syndrome is caused by a p53 gene mutation[13,14]. Lynch syndrome is also associated with a personal or family history of colorectal cancer, in addition to the occurrence of certain types of sarcoma, such as undifferentiated pleomorphic sarcoma (UPS) and bone tumor, and this syndrome occurs because of microsatellite instability and/or the deletion of mismatch repair genes of MLH1, MSH2, MSH6, and PMS2[15,16]. It is also essential to examine the association of lifestyle habits (drinking and smoking) and lifestyle-related diseases (obesity, diabetes mellitus [DM], hypertension [HT], dyslipidemia [DL]) with sarcoma, as these factors have previously been shown to be involved in the development of cancers through a variety of mechanisms[17-34]. However, the association between these factors and sarcomas has not been sufficiently established. A cohort study revealed a relationship between smoking habit and the development of soft tissue sarcoma approximately 3 decades ago[35], and a few case–control studies with a relatively small study populations reported that smoking habit was associated with the development of sarcoma with ORs of 1.8–2.7[11,36]. These studies included all types of sarcoma together and little is known about the histological subtypes of sarcoma associated with smoking. We therefore investigated the personal and family cancer history in bone and soft tissue sarcoma patients. In addition, we investigated the lifestyle habits and lifestyle-related diseases of a population of bone and soft tissue sarcoma patients and compared them to those of healthy controls based on National Health and Nutrition Examination Survey (NHNES) data[37].

Results

Demographic data of cases and controls

The sample of sarcoma patients included more females than males (56% vs. 44%). The median age was 49 years (range 1–97 years). Among sarcoma patients, 161 (12%) patients were < 20 years of age, 274 (21%) had bone sarcoma while the remaining 1046 (79%) had soft tissue sarcoma. The 1159 patients of ≥ 20 years of age (male, n = 647; female, n = 512; a median age, 54 years [range 20–97 years]) included 193 patients with bone sarcoma and 966 patients with soft tissue sarcoma.

Personal cancer history in sarcoma patients

In total, 8% of the patients (108/1320) with sarcoma of the bone or soft tissue had a personal cancer history. The rate of a personal cancer history among the bone sarcoma patients was 5% (14/274), while that among the soft tissue sarcoma patients was 9% (94/1046) (Table 1). No personal cancer history was observed in > 10% of patients with any type of bone sarcoma, while patients with angiosarcoma (38%) and UPS (17%) had a personal history of another cancer (Supplementary Table 1). The most common types of historical cancer in soft tissue sarcoma patients were breast (16%), colorectum (11%), and lung cancer (10%) (Table 2).
Table 1

Personal and family history of cancer in patients with sarcoma.

CasesFamily history of cancerPersonal cancer history (%)
Up to third-degree relatives (%)Up to second-degree relatives (%)First-degree relatives (%)
Bone and soft tissue sarcoma1320730 (55%)651 (49%)367 (28%)108 (8%)
Bone sarcoma274142 (52%)127 (46%)56 (20%)14 (5%)
Male15980 (50%)72 (45%)34 (21%)9 (6%)
Female11562 (54%)55 (48%)22 (19%)5 (4%)
Soft tissue sarcoma1046578 (55%)524 (50%)311 (30%)94 (9%)
Male580306 (53%)279 (48%)160 (28%)40 (7%)
Female466272 (58%)245 (53%)151 (32%)54 (12%)
Table 2

Other types of cancer in sarcoma patients.

Types of cancerBone sarcoma(n = 274)Soft tissue sarcoma(n = 1046)
Gastric cancer35
Lung cancer29
Colorectal cancer310
Breast cancer015
Thyroid cancer07
Ovarian cancer06
Uterine cancer05
Prostate cancer28
Esophageal cancer02
Renal cell cancer02
Bladder cancer23
Others323
Total14 (5%)94 (9%)
Personal and family history of cancer in patients with sarcoma. Other types of cancer in sarcoma patients.

Family cancer history in sarcoma patients

The family history of cancer among the patients with sarcoma of the bone or soft tissue was as follows: up to first-degree, n = 367 (28%); up to second-degree, n = 651 (49%); and up to third-degree relatives, n = 730 (55%) (Table 1). The rates of patients with a family history of cancer up to first-, second-, and third-degree relatives were 20% (56/274), 46% (127/274), and 52% (142/274), respectively, in bone sarcoma patients, and 30% (311/1046), 50% (524/1046), and 55% (578/1046), respectively, in soft tissue sarcoma patients (Table 1). According to histological type, patients with malignant peripheral nerve sheath tumor (MPNST) (52% [13/25]), leiomyosarcoma (46% [26/57]), extraskeletal myxoid chondrosarcoma (EMC) (42% [5/12]), chordoma (41% [7/17]), and synovial sarcoma (39% [21/54]) had relatively high rates of family cancer history up to first-degree relatives (Supplementary Table 1). Among bone and soft tissue sarcoma patients, the most common types of cancer up to first-degree relatives were gastric (124/1320), lung (81/1320), and colorectal cancer (73/1320) (Table 3).
Table 3

Types of cancer in first-degree relatives of sarcoma patients.

Types of cancerBone sarcoma(n = 274)Soft tissue sarcoma(n = 1046)
Gastric cancer17107
Lung cancer1071
Colorectal cancer1162
Breast cancer929
Hepatic cell cancer433
Uterine cancer529
Pancreatic cancer129
Prostate cancer216
Esophageal cancer215
Renal cell cancer17
Bladder cancer28
Others1677
Total56 (20%)311 (30%)
Types of cancer in first-degree relatives of sarcoma patients.

Comparison between sarcoma patients and the normal population.

A total of 8897 subjects (1159 cases and 7738 controls) were analyzed (Table 4). Twenty-seven percent of sarcoma patients and 20% of controls were 20–39 years of age (p < 0.01). Male patients accounted for 56% of sarcoma patients and 47% of controls (p < 0.01). Thirty-six percent of sarcoma patients and 19% of controls had a smoking habit (p < 0.01). Six percent of sarcoma patients and 4% of controls had DM (p < 0.01). Other comorbidities (alcohol drinking habit, hypertension, obesity, and DL) did not reach the pre-specified significance level. The highest OR was 2.05 (95% CI 1.78–2.37, p < 0.01) for sarcoma patients with a smoking habit.
Table 4

Sample characteristics and univariate and multivariate analyses of risk factors for sarcoma.

Cases(n = 1159)Controls(n = 7738)UnivariateMultivariate
OR95% CIP-valueOR95% CIP-value
Age [years old]
20–39316 (27%)1540 (20%)1.511.31–1.74 < 0.011.711.44–2.02 < 0.01
40–59377 (33%)2352 (30%)1.10.96–1.260.141.261.08–1.47 < 0.01
60–466 (40%)3846 (50%)0.680.59–0.77 < 0.01Ref
Sex
Male647 (56%)3617 (47%)1.441.27–1.63 < 0.011.090.95–1.260.20
Female512 (44%)4121 (53%)RefRef
Smoking habit
(+)414 (36%)1497 (19%)2.312.02–2.65 < 0.012.051.78–2.37 < 0.01
(−)745 (64%)6241 (81%)RefRef
Alcohol drinking habit
(+)303 (26%)1566 (20%)1.401.21–1.61 < 0.011.150.98–1.340.10
(−)856 (74%)6172 (80%)RefRef
Obesity
(+)255 (22%)1436 (19%)1.241.06–1.44 < 0.011.221.05–1.430.02
(−)904 (78%)6302 (81%)RefRef
DM
(+)70 (6%)290 (4%)1.651.24–2.17 < 0.011.871.40–2.51 < 0.01
(−)1089 (94%)7448 (96%)RefRef
HT
(+)183 (16%)1200 (16%)1.020.86–1.210.791.231.01–1.510.04
(−)976 (84%)6538 (84%)RefRef
DL
(+)79 (7%)706 (9%)0.720.56–0.93 < 0.010.720.55–0.940.02
(−)1080 (93%)7032 (91%)RefRef

Ref reference, DM Diabetes mellitus, HT Hypertention, DL Dyslipidemia, OR Odds ratio, CI Confidence interval.

Sample characteristics and univariate and multivariate analyses of risk factors for sarcoma. Ref reference, DM Diabetes mellitus, HT Hypertention, DL Dyslipidemia, OR Odds ratio, CI Confidence interval. The smoking rates according to histological type are described in Supplementary Table 2. Among them, the smoking rate was 320/914 (35%) in patients with high-grade sarcoma, and 94/245 (38%) in patients with low or intermediate-grade sarcoma (p = 0.33). Furthermore, the OR for soft tissue sarcoma was 2.16 (95% CI 1.85–2.52, p < 0.01), and was slightly higher than the OR for bone sarcoma (OR: 1.55, 95% CI 1.11–2.16, p < 0.01), although there were no significant differences (p = 0.37) (Table 5).
Table 5

Smoking rates in sarcoma patients of ≥ 20 years of age according to histological grade and disease origin.

ControlsCases
SarcomaHigh-grade sarcomaLow-grade and intermediate sarcomaBone sarcomaSoft tissue sarcoma
N77381159914245193966
Smoking habit (%)
(+)1497 (19%)414 (36%)320 (35%)94 (38%)63 (33%)351 (36%)
(−)6241 (81%)745 (64%)594 (65%)151 (62%)130 (67%)615 (64%)
Univariate
ORRef2.312.252.592.022.38
95% CI2.02–2.651.93–2.611.97–3.401.46–2.772.06–2.75
P-value < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
Multivariate
ORRef2.051.982.331.552.16
95% CI1.78–2.371.69–2.331.74–3.111.11–2.161.85–2.52
P-value < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
χ2-test0.330.37

Ref reference, OR Odds ratio, CI Confidence interval.

Smoking rates in sarcoma patients of ≥ 20 years of age according to histological grade and disease origin. Ref reference, OR Odds ratio, CI Confidence interval. In terms of the histological subtypes, the smoking rates in patients with UPS of bone, giant cell tumor (GCT) of bone, dermatofibrosarcoma protuberans (DFSP), liposarcoma (including myxoid type, dedifferentiated type, and pleomorphic type), and UPS of soft tissue were higher than those in controls (19%, 1497/7738): 57% (13/23), 50% (6/12), 50% (11/22), 47% (67/144), and 45% (79/175), respectively. In the multivariable analyses, the ORs for UPS of bone, UPS of soft tissue, and liposarcoma were 5.71 (95% CI 2.27–14.3, p < 0.01), 3.04 (95% CI 2.18–4.26, p < 0.01), and 2.92 (95% CI 2.03–4.20, p < 0.01), respectively (Table 6).
Table 6

Smoking rates in patients ≥ 20 years of age according to histological subtypes of sarcoma.

ControlsCases
Bone sarcomaSoft tissue sarcoma
UPSGCTDFSPLiposarcomaUPS
N7738231222144175
Smoking habit (%)
(+)1497 (19%)13 (57%)6 (50%)11 (50%)67 (47%)79 (45%)
(−)6241 (81%)10 (43%)6 (50%)11 (50%)77 (53%)96 (55%)
Univariate
ORRef5.424.174.173.633.43
95% CI2.19–13.81.11–15.61.64–10.62.56–5.122.500–4.69
P-value < 0.010.02 < 0.01 < 0.01 < 0.01
Multivariate
ORRef5.713.202.502.923.04
95% CI2.27–14.30.95–10.71.02–6.132.03–4.202.18–4.26
P-value < 0.010.060.04 < 0.01 < 0.01

Ref reference, UPS Undifferentiated pleomorphic sarcoma, GCT Giant cell tumor of bone, DFSP Dermatofibrosarcoma protuberans, OR Odds ratio, CI Confidence interval.

Smoking rates in patients ≥ 20 years of age according to histological subtypes of sarcoma. Ref reference, UPS Undifferentiated pleomorphic sarcoma, GCT Giant cell tumor of bone, DFSP Dermatofibrosarcoma protuberans, OR Odds ratio, CI Confidence interval.

Discussion

Using a large set of data from sarcoma patients, we found that 8% of sarcoma patients had a personal history of other cancers and 30% had a family history of cancer in a first-degree relative. In comparison to a normal population, adult sarcoma patients were much more likely to have a smoking habit (36% vs 19%, adjusted OR 2.05). We also found other potential risk factors that did not reach the pre-specified significance level. To our knowledge, this is the largest study to investigate the incidence of personal and family cancer history in sarcoma patients, as well as to compare the lifestyle habits and lifestyle-related diseases of sarcoma patients and healthy controls in Japan. In the present study, the rate of a personal cancer history in sarcoma patients was not very high overall, but patients with angiosarcoma (n = 6) and UPS (n = 31) of soft tissue tended to have another cancer for which radiotherapy was regularly required for standard treatment. Angiosarcoma and UPS are the most common radiation-induced sarcomas[38]. In six patients with angiosarcoma, the cancer history included four breast cancer and one cervical cancer. In 31 UPS patients, the cancer history included 5 prostate cancer, 2 breast cancer, 2 cervical cancer, 2 esophageal cancer, 2 malignant lymphoma, and 2 skin squamous cell cancer, which are considered radiosensitive cancers[39-41]. However, the number of these cases was relatively few, and the association between radiotherapy and secondary sarcoma was not determined in the present study. It was also impossible to discriminate between primary and secondary sarcoma based on the pathological findings alone; however, it was still essential to consider the possibilities of sarcomas developing in patients with a history of radiotherapy for another radiosensitive cancer. Some sarcoma patients have been reported to have a family history of cancer[10-12]. Nabi et al. reported that 35% of sarcoma patients had a first-degree relative with a history of cancer[11]. McDuffie et al. stated that 37% of soft tissue sarcoma patients had a first-degree relative with a history of cancer[10]. These rates were close to the outcomes of the present study (Table 7). The common histological types (MPNST, leiomyosarcoma, EMC, chordoma, and synovial sarcoma) in sarcoma patients with first-degree relatives with a history of cancer are well known to be associated with genetic abnormalities. MPNST was associated with NF1 gene mutations[42]. Leiomyosarcoma was associated with the deletion of the TP53 and RB1 gene and BRCA1/2 gene rearrangement[43]. EMC was correlated with NR4A3 gene rearrangement[44]. Chordoma was associated with the T-box-family transcription factor, brachyury[45]. The SS18-SSX fusion gene was shown to be involved in synovial sarcoma[46]. Recent genomic studies have expanded our knowledge regarding the basis of carcinogenesis, including sarcoma; however, in most types of sarcoma, gene abnormalities (e.g., fusion genes or driver mutations) remain unclear. Lung and breast cancer were commonly reported as types of family cancer associated with sarcoma in previous reports[11,12]. However, in the present study, gastric cancer was the most common type of family cancer in both bone and soft tissue sarcoma (Tables 3 and 7). The higher incidence of gastric cancer in comparison to U.S. or European populations may be because the population of this study was entirely Japanese, an Asian population that is particularly susceptible to gastric cancer. However, the inheritance of the genes associated with gastric cancer may have contributed to the occurrence of some types of sarcoma, and the research on the gene expression or the hereditary form of gastric cancer, may lead to the discovery of a new mechanism underlying the development of sarcoma.
Table 7

Previous studies regarding family cancer history and histology of sarcoma and cancer type in sarcoma patients.

Author, year (Reference)Family cancer historyRelativesHistological typeCancer type
Cases (%)Controls (%)
McDuffie et al., 2009[10]

Soft tissue sarcoma

133/357 (37%)

380/1506 (25%)Up to first-degree relativesN.AN.A
Nabi et al., 2015[11]

Bone and Soft tissue sarcoma

147/425 (35%)

53/429 (12%)Up to first-degree relatives

1 Leiomyosarcoma

2 Spindle cell sarcoma

3 GIST

1 Breast

2 Lung

3 Colorectal

Schiavi et al., 2015[12]

Bone and Soft tissue sarcoma

113/163 (69%)

N.AUp to third-degree relatives

1 Liposarcoma

2 Myxofibrosarcoma

3 Leiomyosarcoma

1 Lung

2 Breast

3 Prostate

Current study 2022

Bone and Soft tissue sarcoma

367/1320 (28%)

Soft tissue sarcoma

311/1046 (30%)

N.AUp to first-degree relatives

1 MPNST

2 Leiomyosarcoma

3 Chordoma

4 EMC

5 Synovial sarcoma

1 Gastric

2 Lung

3 Colorectal

GIST Gastrointestinal stromal tumor, MPNST Malignant peripheral nerve sheath tumor, EMC Extraskeletal myxoid chondrosarcoma, N.A. Not available.

Previous studies regarding family cancer history and histology of sarcoma and cancer type in sarcoma patients. Soft tissue sarcoma 133/357 (37%) Bone and Soft tissue sarcoma 147/425 (35%) 1 Leiomyosarcoma 2 Spindle cell sarcoma 3 GIST 1 Breast 2 Lung 3 Colorectal Bone and Soft tissue sarcoma 113/163 (69%) 1 Liposarcoma 2 Myxofibrosarcoma 3 Leiomyosarcoma 1 Lung 2 Breast 3 Prostate Bone and Soft tissue sarcoma 367/1320 (28%) Soft tissue sarcoma 311/1046 (30%) 1 MPNST 2 Leiomyosarcoma 3 Chordoma 4 EMC 5 Synovial sarcoma 1 Gastric 2 Lung 3 Colorectal GIST Gastrointestinal stromal tumor, MPNST Malignant peripheral nerve sheath tumor, EMC Extraskeletal myxoid chondrosarcoma, N.A. Not available. A large number of carcinogens in cigarette smoke have been implicated as contributors to oncogenesis in various types of cancer[18-23,47-49]. However, there have only been a few previous reports about the association between smoking and the development of sarcoma[10-12,50-52]. Monograph 100E, which was published in 2012 by the International Agency for Research on Cancer (IARC) in the WHO, did not report a relationship between smoking and bone sarcoma, and there was no definitive conclusion on the correlation between smoking and soft tissue sarcoma[49]. In previous studies, a cohort study with a 26-year follow-up period found an association between smoking and mortality in soft tissue sarcoma patients[10]; the relative risk (RR) was 1.8 (95% CI 1.1–2.9). In 2015, smoking was reported as a potential risk factor for sarcoma with an OR of 2.67[11] (Table 8). Our results suggested that the ORs for sarcoma in individuals with a smoking habit were almost consistent with those for breast cancer and renal cell carcinoma, with ORs of 2.02 and 2.20, respectively[48,53] (Table 9). Furthermore, in smokers, the ORs for types of sarcoma especially UPS of bone, UPS of soft tissue, and liposarcoma were close to or higher than the risk of developing lymphoma or upper aerodigestive tract cancer, which were previously reported to be associated with smoking[19,22]. A type of thoracic sarcoma (SMARCA4-deficient type) was reported to be highly associated with smoking (78%, 11/13)[54]. In the present study, the smoking rates of patients with pleomorphic liposarcoma, UPS of bone, and DFSP were relatively high at 63% (5/8), 57% (13/23), and 50% (11/22), respectively, although the number of patients was small (Supplementary Table 2). Further studies are needed to investigate the smoking habits in patients with these sarcomas.
Table 8

Outcomes for the incidence of sarcomas by smoking in previous studies.

Author, year (Reference)Study designType of sarcomaCasesControlsOutcome (95% CI)
Zahm et al., 1989[36]Case–controlSoft tissue sarcoma2281610OR 1.8 (1.1–2.9)
Zahm et al., 1992[35]CohortSoft tissue sarcoma119248,046RR 1.8 (1.1–2.9)
Nabi et al., 2015[11]Case–controlBone and soft tissue sarcoma425429OR 2.67 (1.83–3.89)
Current study, 2022Case–controlBone and soft tissue sarcoma

1159

(Bone 193)

(Soft tissue 966)

7738

OR 2.05 (1.78–2.37)

(Bone OR 1.55 (1.11–2.16))

(Soft tissue OR 2.16 (1.85–2.52))

CI Confidence interval, OR Odds ratio, RR Relative risk.

Table 9

Odds ratios for various types of cancer in smokers in previous studies.

Types of cancerAuthor (Reference)YearCasesControlsOR (95% CI)
Lung cancerRemen et al.[18]2018120315137.82 (4.59–13.3)
Oropharynx cancerAnantharaman et al.[20]201645829946.82 (4.52–10.3)
Upper aerodigestive tract cancerLee et al.[22]2013158612603.83 (2.56–5.73)
Lymphoma (Hodgkin)Taborelli et al.[19]201718810042.47 (1.25–4.87)
Renal cell carcinoma (clear cell type)Patel et al.[53]2015816n.a2.20 (n.a.)
Breast cancerDianatinasab et al.[48]20175265262.02 (1.22–3.34)
Bladder cancerZheng et al.[6]2012188627161.8 (1.4–2.2)
Colorectal cancerHou et al.[21]201412,94225,8841.6 (1.3–1.9)
Gastric cancerPraud et al.[47]201810,29026,1451.25 (1.11–1.40)
SarcomaCurrent study2022115977382.05 (1.78–2.37)

OR Odds ratio, CI Confidence interval.

Outcomes for the incidence of sarcomas by smoking in previous studies. 1159 (Bone 193) (Soft tissue 966) OR 2.05 (1.78–2.37) (Bone OR 1.55 (1.11–2.16)) (Soft tissue OR 2.16 (1.85–2.52)) CI Confidence interval, OR Odds ratio, RR Relative risk. Odds ratios for various types of cancer in smokers in previous studies. OR Odds ratio, CI Confidence interval. The present study was associated with several limitations that warrant mention. First, the case was derived from a high-volume hospital, thus, the patient characteristics may not be representative of all Japanese patients with sarcoma. However, the hospital is a national center and treats patients from all over Japan. Second, a recall bias in sarcoma patients may have been present with regard to the lifestyle habits and family cancer history because these were self-reported in a clinical setting. Patients may have reported more lifestyle risk factors than were described in the representative nationwide survey. However, smoking was shown to be related to sarcoma while alcohol was not. The contrast suggests that recall alone does not explain the observed relationship. Third, the body mass index may change with disease progression. Weight loss is often observed in patients with advanced-stage cancer. The BMI difference may be the result of cancer rather than a risk factor. Fourth, we were unable to obtain the personal or family history of cancer in control cases; thus, we could not include personal or family cancer history in the comparative analysis. However, it would be helpful to know the incidence of other cancers in Japanese sarcoma patients as a basis for future research. Fifth, in this study, 11 patients with Neurofibromatosis type 1, 2 retinoblastoma patients, and 1 hereditary multiple exostosis patient were observed. In addition, chronic lymphoedema of the lower limb due to Stewart-Treves syndrome was observed in one patient. However, the impact of these reported risk factors for sarcoma was not statistically analyzed because of the absence of these entities in the control data. Larger studies involving multivariate analyses will be required in order to newly establish risk factors for sarcoma, including inherited disorders, lymphoedema, a history of radiotherapy, or exposure to chemicals (e.g. pesticide) while working, as was previously reported to be a risk factor for sarcoma[10-16,38,55,56]. In conclusion, we confirmed that having a first-degree relative with a history of gastric cancer was suggested to be associated with the incidence of bone and soft tissue sarcoma; however, further studies are needed to support this association as this study had no data regarding the family history of cancer in the control group. In addition, we validated that a smoking habit was associated with the incidence of sarcoma, especially UPS of bone, UPS of soft tissue, and liposarcoma, in a comparative study.

Methods

Data sources

To investigate the personal or family cancer history of sarcoma patients, we enrolled 1320 patients with bone and soft tissue sarcoma who were identified in the pathological database of the National Cancer Center Hospital between 2006 and 2013. We included all patients with histopathologically-confirmed primary sarcoma according to the 2013 WHO classification of Soft Tissue and Bone Tumours 4th edition[1]. In the first-visit check-up, all patients completed a questionnaire about their personal and family history of cancer, lifestyle habits, and lifestyle-related diseases. To examine lifestyle risk factors among the 1320 patients, we compared the case data of 1159 patients (≥ 20 years of age) to 7738 controls of ≥ 20 years of age who were derived from the National Health and Nutrition Examination Survey (NHNES)[37] conducted by the Japanese Ministry of Health, Labour and Welfare in 2014. Individual person-level data for controls were used for the analysis. The objective of this national survey was to produce a national estimate of the current health status and lifestyle habits among Japanese people in order to provide data for health policy-making. The response rate was 67% (3648 of 5432 households that received a questionnaire). The target households were all family members in 299 unit areas selected from 11,000 unit areas throughout Japan by a stratified random sampling method. This study was approved by the Institutional Review Board of National Cancer Central (Research Number: 2017–336) in compliance with the guidelines of the Helsinki Declaration of 1964.

Variables and analyses

To investigate the prevalence of a personal and family cancer history in 1320 sarcoma patients based on questionnaire responses, we calculated the proportions of patients who had previously had cancer, excluding any sarcoma, as patients with a personal history of cancer. A family history of cancer included having first-, second-, or third-degree relatives with any cancer. The types of cancer with which sarcoma patients and their family were diagnosed were also investigated. Sub-analyses for differences in family history were performed according to sex, disease origin (bone or soft tissue), and histological type according to the 2013 WHO classification[1]. To examine the risk factors for sarcoma, we compared the lifestyle habits and lifestyle-related diseases of sarcoma patients to those of normal individuals in a case–control manner. Smoking, alcohol consumption, obesity, DM, HT, DL, age, and sex were examined as possible risk factors among lifestyle habits and lifestyle-related diseases in sarcoma patients of ≥ 20 years of age. Sarcoma tends to demonstrate an age-dependent or sex-related incidence, and both age and sex were considered to be essential confounding factors, and were also included in the analyses. To define the lifestyle variables in this study, the same categories were applied to the control group. Ever smokers were defined as individuals who had ever smoked cigarettes at least once a week for a year, and former smokers were defined as individuals who had stopped for at least one year prior to the diagnosis[18-23]. A gram per day was defined as a standard measure of ethanol intake[24-26], using equivalents of 0.8 g mL-1. The ethanol amount in one drink of beer was equivalent to approximately 12.5 g (5% ethanol), which was almost equal to the amount in 120 mL of wine (12–13% ethanol, 12 g), 90 ml of Japanese sake (15–16% ethanol, 12 g), 40 ml of spirit (30–40% ethanol, 10–12 g), and 30 ml of whisky (40–50% ethanol, 10–12 g). An alcohol drinking habit was defined as the consumption of an ethanol equivalent of ≥ 12.5 g per day. Obesity was defined as a body mass index (BMI) ≥ 25 kg/m2[32-34,57]. DM was defined as taking antidiabetic medicines or insulin injections[27,28]. HT was defined as taking an antihypertensive agent[29-31]. DL was defined as taking an antihyperlipidemic drug (such as anticholesteremic or antitriglyceride agents)[31,34]. Age was classified into the following four groups; 20–39, 40–59, and ≥ 60 years, and we set ≥ 60 years as a reference group for the multivariate analysis. Fisher’s exact test and logistic regression model were used to compare the frequencies of potential risk factors in univariate and multivariate analyses, respectively. The variables examined included smoking, alcohol consumption, obesity, DM, HT, DL, age, and sex. We also performed sub-analyses taking the cases of each histological grade (high-grade or low to intermediate), disease origin (bone or soft tissue) and histological subtype according to the 2013 WHO classification[1], and calculated distributions of risk factors were compared between histological grade (high vs. low and intermediate) and disease origin (bone vs. soft tissue) using the χ2-test. P values of < 0.01 were considered to indicate statistical significance. All statistical analyses were performed using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan), which is a graphical user interface for the R software program (The R Foundation for Statistical Computing, Vienna, Austria)[58].

Approval for human experiments

This study was approved by the Institutional Review Board of National Cancer Central (Research Number: 2017-336) in compliance with the guidelines of the Helsinki Declaration of 1964.

Consent to participate/consent to publish

The written informed consent was acquired from all patients and/or their parents (in the case of children). All participants and/or their parents (in the case of children) in the NHNES study agreed to allow public release of their data. In addition, second utilization of their data in the NHNES study was formally approved by the Japanese Ministry of Health, Labour and Welfare. Supplementary Information.
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1.  Analyzing multiple risk factors in patients with sarcomas. A case-control study.

Authors:  S Nabi; P Kahlon; P Kuriakose
Journal:  Indian J Cancer       Date:  2015 Jul-Sep       Impact factor: 1.224

2.  Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort.

Authors:  Dejana Braithwaite; Diana L Miglioretti; Weiwei Zhu; Joshua Demb; Amy Trentham-Dietz; Brian Sprague; Jeffrey A Tice; Tracy Onega; Louise M Henderson; Diana S M Buist; Elad Ziv; Louise C Walter; Karla Kerlikowske
Journal:  JAMA Intern Med       Date:  2018-04-01       Impact factor: 21.873

3.  Molecular pathways: adipose inflammation as a mediator of obesity-associated cancer.

Authors:  Louise R Howe; Kotha Subbaramaiah; Clifford A Hudis; Andrew J Dannenberg
Journal:  Clin Cancer Res       Date:  2013-08-19       Impact factor: 12.531

Review 4.  Obesity and Cancer Mechanisms: Tumor Microenvironment and Inflammation.

Authors:  Neil M Iyengar; Ayca Gucalp; Andrew J Dannenberg; Clifford A Hudis
Journal:  J Clin Oncol       Date:  2016-11-07       Impact factor: 44.544

5.  Clinicopathological and molecular characterization of SMARCA4-deficient thoracic sarcomas with comparison to potentially related entities.

Authors:  Akihiko Yoshida; Eisuke Kobayashi; Takashi Kubo; Makoto Kodaira; Toru Motoi; Noriko Motoi; Kan Yonemori; Yuichiro Ohe; Shun-Ichi Watanabe; Akira Kawai; Takashi Kohno; Hiroshi Kishimoto; Hitoshi Ichikawa; Nobuyoshi Hiraoka
Journal:  Mod Pathol       Date:  2017-03-03       Impact factor: 7.842

6.  Combined effects of smoking and HPV16 in oropharyngeal cancer.

Authors:  Devasena Anantharaman; David C Muller; Pagona Lagiou; Wolfgang Ahrens; Ivana Holcátová; Franco Merletti; Kristina Kjærheim; Jerry Polesel; Lorenzo Simonato; Cristina Canova; Xavier Castellsague; Tatiana V Macfarlane; Ariana Znaor; Peter Thomson; Max Robinson; David I Conway; Claire M Healy; Anne Tjønneland; Ulla Westin; Johanna Ekström; Jenny Chang-Claude; Rudolf Kaaks; Kim Overvad; Dagmar Drogan; Göran Hallmans; Göran Laurell; H B Bueno-de-Mesquita; Petra H Peeters; Antonio Agudo; Nerea Larrañaga; Ruth C Travis; Domenico Palli; Aurelio Barricarte; Antonia Trichopoulou; Saitakis George; Dimitrios Trichopoulos; J Ramón Quirós; Sara Grioni; Carlotta Sacerdote; Carmen Navarro; María-José Sánchez; Rosario Tumino; Gianluca Severi; Marie-Christine Boutron-Ruault; Francoise Clavel-Chapelon; Salvatore Panico; Elisabete Weiderpass; Eiliv Lund; Inger T Gram; Elio Riboli; Michael Pawlita; Tim Waterboer; Aimée R Kreimer; Mattias Johansson; Paul Brennan
Journal:  Int J Epidemiol       Date:  2016-05-19       Impact factor: 7.196

Review 7.  Is alcohol consumption a risk factor for prostate cancer? A systematic review and meta-analysis.

Authors:  Jinhui Zhao; Tim Stockwell; Audra Roemer; Tanya Chikritzhs
Journal:  BMC Cancer       Date:  2016-11-15       Impact factor: 4.430

8.  Microsatellite Instability Is Associated With the Presence of Lynch Syndrome Pan-Cancer.

Authors:  Alicia Latham; Preethi Srinivasan; Yelena Kemel; Jinru Shia; Chaitanya Bandlamudi; Diana Mandelker; Sumit Middha; Jaclyn Hechtman; Ahmet Zehir; Marianne Dubard-Gault; Christina Tran; Carolyn Stewart; Margaret Sheehan; Alexander Penson; Deborah DeLair; Rona Yaeger; Joseph Vijai; Semanti Mukherjee; Jesse Galle; Mark A Dickson; Yelena Janjigian; Eileen M O'Reilly; Neil Segal; Leonard B Saltz; Diane Reidy-Lagunes; Anna M Varghese; Dean Bajorin; Maria I Carlo; Karen Cadoo; Michael F Walsh; Martin Weiser; Julio Garcia Aguilar; David S Klimstra; Luis A Diaz; Jose Baselga; Liying Zhang; Marc Ladanyi; David M Hyman; David B Solit; Mark E Robson; Barry S Taylor; Kenneth Offit; Michael F Berger; Zsofia K Stadler
Journal:  J Clin Oncol       Date:  2018-10-30       Impact factor: 50.717

9.  Prognostic significance of cancer family history for patients with gastric cancer: a single center experience from China.

Authors:  Xiaowen Liu; Hong Cai; Lin Yu; Hua Huang; Ziwen Long; Yanong Wang
Journal:  Oncotarget       Date:  2016-06-14

10.  Small-molecule targeting of brachyury transcription factor addiction in chordoma.

Authors:  Tanaz Sharifnia; Mathias J Wawer; Ting Chen; Qing-Yuan Huang; Barbara A Weir; Ann Sizemore; Matthew A Lawlor; Amy Goodale; Glenn S Cowley; Francisca Vazquez; Christopher J Ott; Joshua M Francis; Slim Sassi; Patricia Cogswell; Hadley E Sheppard; Tinghu Zhang; Nathanael S Gray; Paul A Clarke; Julian Blagg; Paul Workman; Josh Sommer; Francis Hornicek; David E Root; William C Hahn; James E Bradner; Kwok K Wong; Paul A Clemons; Charles Y Lin; Joanne D Kotz; Stuart L Schreiber
Journal:  Nat Med       Date:  2019-01-21       Impact factor: 53.440

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