Literature DB >> 35117306

Incidence features of second primary malignancy among gastric cancer survivors, 1992-2012.

Shuai Li1, Yiyang Luo2, Qi Hou1, Huaqing Chu1, Hui Zheng1.   

Abstract

BACKGROUND: With the expanding population of cancer survivors, screening for second primary malignancy (SPM) is one issue concerning survivorship care. This study aimed to evaluate the potential risk of developing SPMs and determine the features of SPMs among patients after the diagnosis of gastric cancer (GC).
METHODS: We identified 33,705 GC patients from the Surveillance, Epidemiology, and End Results Program (SEER) database. The standardized incidence ratios (SIRs) were calculated to estimate the risk of SPMs. The SIRs were stratified by age, race, stage, and latency period since GC diagnosis.
RESULTS: A total of 2,018 among 33,705 GC patients developed SPMs. Compared with the general population, these GC survivors had higher risks of developing second malignancies of the esophagus, stomach, small intestine, colon, pancreas, and thyroid. Conversely, these GC survivors had lower chances of developing prostate and female breast cancer.
CONCLUSIONS: In stratified analyses, we identified the features associated with a higher risk of developing SPMs, including age between 20 and 39 years, latency between 60 and 119 months, localized stage, and American Indian/Alaska Native ethnicity. Hence, GC survivors are at a higher risk of developing SPMs than the general population. Careful attention and continuous surveillance should be used when treating these patients. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  1992–2012; Incidence; gastric cancer survivors (GC survivors); second primary malignancy (SPM)

Year:  2020        PMID: 35117306      PMCID: PMC8797625          DOI: 10.21037/tcr-20-1105

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

According to the World Cancer Report 2014, gastric cancer (GC) has the fifth leading incidence of cancers and is the third leading cause of death from cancer. Approximately 951,600 new GC cases were diagnosed and 723,100 GC-related deaths occurred in 2012 (1). Hence, GC is currently a significant public health issue in the world. Although the GC incidence and mortality rates are generally declining in many countries, GC survivors still account for a large proportion of all cancer patients (2,3). With the large population of GC survivors, one concerning issue is their long-term survival status, especially the risk of developing second primary malignancies (SPMs) (4,5). Previous studies have reported that the risk of developing an SPM is increased in several types of cancer (6-8). Accumulating evidence has suggested that healthy aging, intensive treatment of the primary tumor, and genetic and environmental factors are significant risk factors for an elevated incidence of SPM (6,9). Therefore, it is essential to determine the risk of SPM among GC survivors and then provide them with continuous cancer surveillance. In this retrospective study, we used data from the Surveillance Epidemiology and End Results (SEER) cancer registry and determined the risk of SPM after a diagnosis of GC in the United States between 1992 and 2012 (10). We aimed to identify the epidemiological and clinical features of first primary GC related to the occurrence of SPM. We present this study in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tcr-20-1105).

Methods

Date source

We collected patient information from the SEER 13 database, which includes processed publicly available data collected between 1992 and 2012 from 13 registries (the New Mexico, San Francisco-Oakland, Atlanta, San Jose-Monterey, rural Georgia, Connecticut, Detroit, Hawaii, Iowa, Utah, Los Angeles, Seattle-Puget Sound, and Alaska Native Tumor Registries). The SEER database represents approximately 28% of the US population. The SEER program provides data on patient demographics, cancer incidence, tumor characteristics, limited therapeutic information, and survival data. To distinguish SPM from recurrence and metastases of the primary GC, the SEER system strictly follows the coding rules of histology and topography classification of the International Classification of Diseases for Oncology third edition (ICD-O-3). The study design was approved by the Ethics Committee of National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. The SEER database is open access. Therefore, the authors can obtain cancer case and population data from the SEER website. Patients’ records were anonymized and deidentified prior to analysis.

Study population

All patients had histologically confirmed GC, which included only one primary GC tumor as well as the primary GC in patients with multiple primary malignancies. We collected cases of invasive GC diagnosed in patients at an age of more than 20 years to ensure that young patients could be captured in this study. We excluded cases of primary GC with the following attributes: (I) unknown diagnosis age, (II) in situ tumors, and (III) report of primary GC on only the death or autopsy certificate. In addition, SPMs diagnosed during the 6-month period after the primary diagnosis were also excluded to minimize misclassification of undetected synchronous cancers and metastases.

Statistical analyses

Multiple primary standardized incidence ratios (SIRs) were calculated as one measure to estimate the relative risk of SPM. The SIR was defined as the ratio of the observed incidence of SPM among GC patients to the expected incidence in the US general population within the SEER database. Statistical significance of SIRs was defined at a P value <0.05 (two-sided). In addition, 95% confidence intervals (CIs) were calculated as exact Poisson confidence limits for the ratio of observed events to expected events. Analyses in this study were stratified by age at primary GC diagnosis (20–39, 40–59, or ≥60 years), race (white, black, American Indian/Alaska Native, Asian or Pacific Islander), stage (localized, regional, or distant), and latency period since primary GC diagnosis (6–11, 12–59, 60–119, or ≥120 months). The definitions of tumor stage in the SEER database are as follows: localized stage, an invasive neoplasm confined entirely to the organ of origin; regional stage, a neoplasm that has extended beyond the limits of the organ of origin directly into surrounding organs and tissue or into regional lymph nodes; and distant stage, a neoplasm that has spread to parts of the body remote from the primary tumor, such as distant organs, tissues or distant lymph nodes. All analyses were conducted using SEER*Stat software version 8.2.1. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Results

Study population characteristics

In this study, we identified 33,705 eligible individuals who were diagnosed with primary GC. The majority of patients diagnosed with primary GC were male (60.7%), aged >60 years (68.3%), and white (66.6%). Among all patients, 2,018 patients (6.0%) subsequently developed SPMs. For patients who developed SPMs, 86.6% were aged >60 years, and 40.7% of patients had localized-stage tumors; in addition, 15.5% of patients had regional-stage tumors, and 16.6% of patients had distant-stage tumors (16.6%). A more detailed overview of patient characteristics is shown in .
Table 1

Variables of GC patients who developed SPMs

VariablePatients with first primary GC (n=33,705), n (%)GC patients who developed SPMs (n=2,018), n (%)
Sex
   Male20,470 (60.7)1,329 (65.8)
   Female13,235 (39.3)689 (34.2)
Age at GC diagnosis (years)
   20–391,480 (4.4)11 (0.5)
   40–599,218 (27.3)260 (12.9)
   ≥6023,007 (68.3)1,747 (86.6)
Race
   White22,444 (66.6)1,364 (67.6)
   Black3,939 (11.7)257 (12.7)
   American Indian/Alaska Native214 (0.6)12 (0.6)
   Asian or Pacific Islander7,108 (21.1)385 (19.1)
Calendar year
   1992–200115,749 (46.7)492 (24.4)
   2002–201217,956 (53.3)1,526 (75.6)
Stage at GC diagnosis
   Localized7,693 (22.8)821 (40.6)
   Regional9,168 (27.3)313 (15.5)
   Distant5,573 (16.5)336 (16.7)
   Unstaged/unknown11,271 (33.4)548 (27.2)
Latency (months)
   6–11176 (8.7)
   12–59978 (48.5)
   60–119584 (28.9)
   ≥120280 (13.9)

SIRs for SPMs

Compared with the general population, GC patients had higher overall risk for SPM (SIR 1.11, 95% CI: 1.06–1.16). Patients with GC had significantly increased risks for malignancies of the stomach (SIR 4.51, 95% CI: 3.93–5.16), small intestine (SIR 3.06, 95% CI: 1.96–4.55), esophagus (SIR 2.41, 95% CI: 1.79–3.17), colon (SIR 1.18, 95% CI: 1.01–1.37), pancreas (SIR 1.60, 95% CI: 1.29–1.96) and thyroid (SIR 2.00, 95% CI: 1.37–2.80) than the general population. However, the risk of SPMs involving the female breast (SIR 0.79, 95% CI: 0.66–0.95) and prostate (SIR 0.79, 95% CI: 0.70–0.89) were decreased in the primary GC population. The detailed data are shown in .
Table 2

Risk of SPMs in patients with GC

SPMsObservedExpectedSIR (95% CI)
All sites20181,823.431.11 (1.06–1.16)*
Esophagus5121.192.41 (1.79–3.17)*
Stomach21748.074.51 (3.93–5.16)*
Small intestine247.853.06 (1.96–4.55)*
Colon176149.411.18 (1.01–1.37)*
Rectosigmoid junction and rectum5855.261.05 (0.80–1.36)
Liver4033.201.20 (0.86–1.64)
Gallbladder65.781.04 (0.38–2.26)
Pancreas9257.631.60 (1.29–1.96)*
Lung and bronchus299274.631.09 (0.97–1.22)
Female breast121152.420.79 (0.66–0.95)*
Cervix uteri76.131.14 (0.46–2.35)
Corpus uteri2429.610.81 (0.52–1.21)
Ovary2417.081.41 (0.46–2.35)
Prostate297375.920.79 (0.70–0.89)*
Kidney5846.411.25 (0.95–1.62)
Urinary bladder116107.801.08 (0.89–1.29)
Brain1015.500.65 (0.31–1.19)
Thyroid3316.532.00 (1.37–2.80)*
Bones and joints11.500.67 (0.02–3.71)
Soft tissue including heart109.531.05 (0.50–1.93)
All lymphatic and hematopoietic diseases158158.041.00 (0.85–1.17)
Others196233.950.84 (0.72–0.96)*

*, P<0.05.

*, P<0.05.

Age at first GC diagnosis

Age is deemed one crucial risk factor for GC patients, so we compared the SIRs in three different age subgroups, including 20–39, 40–59, and ≥60 years, to determine whether the risk of SPMs varied with age. The results showed that GC patients aged 20–39 and 40–59 years had predominantly high risks of developing SPMs in all sites (). Patients aged 20–39 years had a significantly higher risk of developing SPMs of the stomach (SIR 50.19) and colon (SIR 10.41) and patients aged 40–59 had a higher risk of developing malignancies of the esophagus, stomach, colon, pancreas, prostate, lung, and bronchus than patients in the other two age groups. Although the risk was not observed in all sites, patients aged >60 years showed an increased risk for SPMs involving the esophagus, stomach, small intestine, pancreas, and thyroid ().
Figure 1

SIRs of SPMs in GC patients. (A) SIRs of SPMs in GC patients by age; (B) SIRs of SPMs in GC patients by race; (C) SIRs of SPMs in GC patients by stage; (D) SIRs of SPMs in GC patients by latency. *, the observed incidence of SPMs among SC is significantly lower or higher than the expected incidence in US general population, with P<0.05.

Table 3

SIRs of SPMs in GC patients, by age

SPMsAge, years
20–3940–59>60
All sites2.69 (1.82–3.84)*1.59 (1.45–1.75)*1.00 (0.95–1.05)
Esophagus0.00 (0.00–60.94)4.52 (2.53–7.45)*2.02 (1.42–2.80)*
Stomach50.19 (22.95–95.28)*13.11 (10.18–16.63)*3.28 (2.76–3.87)*
Small intestine0.00 (0.00–69.66)5.92 (2.56–11.66)*2.48 (1.42–4.03)*
Colon10.41 (3.38–24.30)*1.39 (0.88–2.09)1.12 (0.94–1.31)
Rectosigmoid junction and rectum5.63 (0.68–20.32)1.62 (0.91–2.67)0.90 (0.64–1.22)
Liver5.77 (0.15–32.12)1.43 (0.69–2.64)1.11 (0.75–1.60)
Gallbladder0.00 (0.00–235.00)1.75 (0.04–9.74)0.96 (0.31–2.25)
Pancreas0.00 (0.00–24.55)2.04 (1.121–3.43)*1.54 (1.22–1.92)*
Lung and bronchus1.73 (0.04–9.65)1.75 (1.34–2.26)*0.99 (0.87–1.13)
Female breast0.73 (0.09–2.64)1.13 (0.81–1.54)0.69 (0.55–0.86)*
Cervix uteri2.98 (0.08–16.63)0.58 (0.01–3.22)1.23 (0.40–2.87)
Corpus uteri0.00 (0.00–10.05)0.90 (0.36–1.85)0.79 (0.46–1.27)
Ovary0.00 (0.00–16.16)1.83 (0.67–3.98)1.33 (0.79–2.10)
Prostate0.00 (0.00–6.38)0.83 (0.63–1.08)0.78 (0.69–0.89)*
Kidney2.73 (0.07–15.19)1.97 (1.19–3.08)*1.04 (0.74–1.43)
Urinary bladder5.49 (0.14–30.59)1.66 (0.98–2.62)1.00 (0.81–1.22)
Brain0.00 (0.00–17.61)1.32 (0.36–3.37)0.49 (0.18–1.07)
Thyroid1.28 (0.03–7.13)1.64 (0.75–3.11)2.24 (1.42–3.37)*
Bones and joints0.00 (0.00–101.38)0.00 (0.00–11.43)0.87 (0.02–4.87)
Soft tissue including heart0.00 (0.00–29.29)0.00 (0.00–2.33)1.28 (0.61–2.35)
All lymphatic and hematopoietic diseases0.90 (0.02–5.03)1.45 (0.99–2.05)0.93 (0.77–1.10)
Others2.44 (0.79–5.70)1.50 (1.13–1.94)*0.69 (0.58–0.82)*

*, P<0.05.

SIRs of SPMs in GC patients. (A) SIRs of SPMs in GC patients by age; (B) SIRs of SPMs in GC patients by race; (C) SIRs of SPMs in GC patients by stage; (D) SIRs of SPMs in GC patients by latency. *, the observed incidence of SPMs among SC is significantly lower or higher than the expected incidence in US general population, with P<0.05. *, P<0.05.

Race

There were significant changes in SIRs between different races for SPMs at all sites (). The highest risk for SPMs was in American Indian/Alaska Native patients, followed by that in black and white patients. The risk of developing SPM of the stomach was higher in these four races than that in other races. In addition, the risk of esophageal SPM was elevated in black patients, and the risk of small intestinal SPM was elevated in American Indian/Alaska Native patients. For white GC patients, there was an increased risk of SPMs involving the esophagus, small intestine, pancreas, kidney, and thyroid, but there was a decreased risk of SPM involving the prostate ().
Table 4

SIRs of SPMs in GC patients, by race

SPMsRace
WhiteBlackAmerican Indian/Alaska NativeAsian or Pacific Islander
All sites1.10 (1.04–1.16)*1.21 (1.07–1.37)*1.94 (1.00–3.38)*1.06 (0.96–1.17)
Esophagus2.61 (1.85–3.57)*2.79 (1.12–5.75)*0.00 (0.00–61.60)1.36 (0.44–3.18)
Stomach6.22 (5.23–7.34)*5.65 (3.89–7.94)*13.51 (3.68–34.59)*2.06 (1.47–2.80)*
Small intestine2.91 (1.63–4.81)*2.86 (0.78–7.33)44.23 (1.12–246.43)*3.11 (0.85–7.96)
Colon1.20 (0.99–1.44)1.15 (0.71–1.76)0.00 (0.00–6.68)1.14 (0.81–1.57)
Rectosigmoid junction and rectum1.06 (0.75–1.47)1.08 (0.40–2.35)0.00 (0.0013.71)1.03 (0.57–1.69)
Liver0.90 (0.48–1.54)1.40 (0.46–3.28)0.00 (0.00–13.27)1.47 (0.92–2.23)
Gallbladder0.91 (0.19–2.66)0.00 (0.00–6.06)0.00 (0.00–127.58)1.63 (0.34–4.75)
Pancreas1.70 (1.30–2.18)*1.36 (0.65–2.49)0.00 (0.00–17.29)1.48 (0.90–2.28)
Lung and bronchus1.11 (0.96–1.27)1.02 (0.71–1.42)3.33 (0.69–9.74)1.03 (0.79–1.33)
Female breast0.84 (0.67–1.03)0.62 (0.32–1.08)1.62 (0.04–9.00)0.73 (0.45–1.13)
Cervix uteri0.96 (0.20–2.82)1.67 (0.20–6.04)0.00 (0.00–90.76)1.12 (0.14–4.05)
Corpus uteri0.82 (0.48–1.31)0.81 (0.17–2.35)0.00 (0.00–31.36)0.81 (0.22–2.07)
Ovary1.73 (1.07–2.65)*0.55 (0.01–3.04)0.00 (0.00–56.05)0.66 (0.08–2.37)
Prostate0.75 (0.65–0.86)*0.91 (0.67–1.20)2.78 (0.57–8.11)0.82 (0.62–1.07)
Kidney1.40 (1.02–1.87)*1.46 (0.67–2.76)0.00 (0.00–24.68)0.51 (0.14–1.30)
Urinary bladder1.02 (0.81–1.26)1.46 (0.70–2.69)0.00 (0.00–15.90)1.23 (0.75–1.90)
Brain0.58 (0.23–1.19)0.95 (0.02–5.28)0.00 (0.00–88.07)0.88 (0.11–3.17)
Thyroid2.16 (1.37–3.24)*2.03 (0.42–5.94)0.00 (0.00–37.02)1.62 (0.65–3.35)
Bones and joints0.92 (0.02–5.13)0.00 (0.00–24.12)0.00 (0.00–779.10)0.00 (0.00–14.21)
Soft tissue including heart1.06 (0.43–2.19)1.12 (0.03–6.27)0.00 (0.00–106.68)1.00 (0.12–3.60)
All lymphatic and hematopoietic diseases0.98 (0.81–1.18)1.35 (0.84–2.06)0.00 (0.00–7.80)0.90 (0.59–1.32)
Others0.78 (0.65–0.92)*1.18 (0.75–1.78)0.00 (0.00–5.99)0.95 (0.66–1.32)

*, P<0.05.

*, P<0.05.

Stage of primary GC

Tumor stage has been shown to be closely associated with the long-term outcomes of patients. However, it is still unclear whether the incidence of SPMs varies according to tumor stage. Here, the SIRs for three subgroups, including localized-, regional-, and distal-stage groups, were compared. The results showed that patients in the localized and regional stages were at higher risk of developing SPMs at all sites than patients in the distal stage (). GC patients in the localized stage had a higher risk of developing secondary malignancies of the esophagus, stomach, small intestine, and thyroid but a lower risk of developing SPMs in the rectosigmoid junction and rectum than GC patients in the other two stages. For patients in the regional stage, the risk of SPMs of the esophagus, stomach, colon, pancreas, and thyroid was increased. Although the overall risk was not reasonably increased in patients diagnosed with disease at the distant stage, the risk of SPMs in the stomach was increased ().
Table 5

SIRs of SPMs in GC patients, by stage

SPMsStage
LocalizedRegionalDistant
All sites1.17 (1.09–1.27)*1.14 (1.04–1.25)*1.01 (0.81–1.26)
Esophagus2.29 (1.28–3.78)*3.67 (2.14–5.88)*2.07 (0.25–7.48)
Stomach6.93 (5.64–8.42)*4.53 (3.29–6.08)*4.76 (2.18–9.03)*
Small intestine2.67 (1.07–5.50)*2.87 (0.93–6.69)0.00 (0.00–9.85)
Colon1.14 (0.85–1.50)1.44 (1.04–1.95)*1.21 (0.49–2.50)
Rectosigmoid junction and rectum0.49 (0.21–0.97)*1.14 (0.61–1.96)2.13 (0.69–4.98)
Liver1.54 (0.90–2.47)0.50 (0.14–1.29)0.00 (0.00–2.26)
Gallbladder0.54 (0.01–3.01)0.88 (0.02–4.90)0.00 (0.00–16.84)
Pancreas1.16 (0.73–1.76)2.31 (1.54–3.34)*0.00 (0.00–1.53)
Lung and bronchus1.17 (0.95–1.42)1.03 (0.79–1.33)0.69 (0.30–1.36)
Female breast0.79 (0.57–1.08)0.78 (0.49–1.17)0.75 (0.24–1.75)
Cervix uteri1.08 (0.13–3.90)0.00 (0.00–3.19)3.54 (0.09–19.72)
Corpus uteri0.71 (0.28–1.46)0.34 (0.04–1.24)1.49 (0.18–5.38)
Ovary1.61 (0.74–3.06)2.16 (0.87–4.46)2.86 (0.35–10.32)
Prostate0.86 (0.70–1.06)0.73 (0.56–0.94)*0.50 (0.23–0.94)*
Kidney1.24 (0.75–1.94)1.48 (0.85–2.40)1.69 (0.46–4.32)
Urinary bladder1.11 (0.78–1.52)1.31 (0.88–1.87)0.88 (0.24–2.27)
Brain0.41 (0.05–1.48)0.29 (0.01–1.64)1.35 (0.03–7.55)
Thyroid2.40 (1.31–4.02)*2.22 (1.02–4.22)*3.06 (0.63–8.94)
Bones and joints0.00 (0.00–7.66)2.98 (0.08–16.62)0.00 (0.00–48.91)
Soft tissue including heart0.64 (0.08–2.29)0.95 (0.12–3.44)0.00 (0.00–8.45)
All lymphatic and hematopoietic diseases1.12 (0.85–1.45)0.83 (0.55–1.20)1.44 (0.69–2.66)
Others0.82 (0.63–1.05)0.94 (0.69–1.25)0.96 (0.46–1.77)

*, P<0.05.

*, P<0.05.

Duration since primary GC diagnosis

From 6 to 11 months after primary GC diagnosis, there was a decreased risk of developing SPMs in all sites except the small intestine and thyroid (). After 11 months of latency, the risk was significantly increased in all sites compared with that in the general population. The highest risk was between 60–119 months since primary GC diagnosis. At 120 months since the primary GC diagnosis, there were still dramatically increased risks for cancers of the stomach, gallbladder, and pancreas. In contrast, the risk of SPM of the prostate was relatively decreased at 120 months since primary GC diagnosis ().
Table 6

SIRs of SPMs in GC patients, by latency

SPMsLatency
6–11 months12–59 months60–119 months>120 months
All sites0.77 (0.66–0.89)*1.11 (1.05–1.19)*1.23 (1.13–1.34)*1.15 (1.02–1.29)*
Esophagus2.25 (0.83–4.89)2.94 (1.98–4.20)*1.82 (0.87–3.34)1.78 (0.58–4.15)
Stomach1.20 (0.48–2.48)4.68 (3.84–5.66)*5.59 (4.37–7.05)*4.77 (3.26–6.74)*
Small intestine5.37 (1.74–12.53)*3.54 (1.88–6.05)*0.95 (0.12–3.45)3.47 (0.94–8.88)
Colon1.12 (0.70–1.72)1.15 (0.91–1.42)1.28 (0.95–1.68)1.14 (0.71–1.73)
Rectosigmoid junction and rectum1.40 (0.67–2.58)1.21 (0.84–1.71)0.64 (0.29–1.21)0.88 (0.32–1.91)
Liver0.26 (0.01–1.46)0.97 (0.54–1.60)1.69 (0.94–2.78)1.80 (0.82–3.42)
Gallbladder0.00 (0.00–5.48)0.74 (0.09–2.66)0.00 (0.00–2.39)4.70 (1.28–12.03)*
Pancreas0.30 (0.04–1.08)1.91 (1.42–2.51)*1.49 (0.94–2.23)1.83 (1.05–2.98)*
Lung and bronchus0.62 (0.38–0.94)*1.07 (0.90–1.26)1.22 (0.97–1.50)1.34 (0.99–1.76)
Female breast0.43 (0.19–0.85)*0.90 (0.09–1.14)0.88 (0.61–1.22)0.59 (0.31–1.03)
Cervix uteri3.69 (0.76–10.80)0.97 (0.20–1.84)0.00 (0.00–2.41)1.43 (0.04–7.98)
Corpus uteri1.66 (0.61–3.60)0.49 (0.20–1.00)1.04 (0.45–2.05)0.76 (0.16–2.23)
Ovary0.97 (0.12–3.51)1.70 (0.93–2.86)1.33 (0.49–2.90)0.87 (0.11–3.15)
Prostate0.41 (0.25–0.62)*0.81 (0.68–0.94)*1.05 (0.85–1.28)0.63 (0.41–0.91)*
Kidney1.42 (0.61–2.79)1.50 (1.03–2.11)*0.98 (0.51–1.71)0.76 (0.25–1.77)
Urinary bladder1.01 (0.54–1.72)0.91 (0.67–1.22)1.29 (0.91–1.77)1.27 (0.77–1.96)
Brain0.51 (0.01–2.83)0.40 (0.08–1.17)1.25 (0.41–2.93)0.48 (0.01–2.69)
Thyroid3.56 (1.43–7.33)*2.18 (1.27–3.49)*1.38 (0.50–2.99)1.25 (0.26–3.66)
Bones and joints0.00 (0.00–19.63)1.39 (0.04–7.72)0.00 (0.00–9.44)0.00 (0.00–18.17)
Soft tissue including heart0.89 (0.02–4.97)0.90 (0.24–2.30)1.57 (0.43–4.02)0.71 (0.02–3.95)
All lymphatic and hematopoietic diseases0.74 (0.40–1.24)0.93 (0.72–1.17)1.19 (0.88–1.57)1.10 (0.71–1.62)
Others0.66 (0.40–1.03)0.80 (0.64–0.99)*0.91 (0.69–1.19)0.97 (0.67–1.37)

*, P<0.05.

*, P<0.05.

Discussion

In this study, we observed that GC survivors had higher risks of developing SPM than the general US population, which is consistent with a previous study (11). In these GC survivors, increased risks for SPMs involving the stomach, small intestine, esophagus, colon, pancreas, and thyroid were observed. In contrast, the risk of SPMs of the female breast and prostate were decreased. Accumulating studies have suggested that a family history of cancer, genetic factors, and intensive treatment affect the development of SPMs in other organs. Although cooccurrence of GC and other cancers can be due to certain disorders, such as microsatellite instability, E-cadherin defects, germline mutations, and TP53 and RAS mutations, the detailed mechanism of the development of SPM is still not clear (12-14). Age was one of the most critical risk factors for GC (15,16). Here, we assessed the risk of developing SPM after GC in different age subgroups. The results showed that patients aged between 20 and 39 years had an increased risk compared with elderly patients. In terms of potential reasons for the observed increased risk in young patients, genetic susceptibility in cases with familial cancer syndromes, such as Lynch syndrome, might contribute to the higher risk of SPM in young patients. Patients with Lynch syndrome always have onset at a younger age and present with an increased risk of developing malignancies of the small intestine, colon, rectum, pancreas, and ovary (17,18). The influence of race on GC incidence and survival has been noted for several decades (19,20). However, few studies have focused on the risk of developing SPMs among different races. Here, we found that American Indian and Alaska Native GC patients tended to have the greatest risk of developing SPMs, followed by black and white patients. The risk for Asian or Pacific Islanders was not increased compared with that in the general population. This phenomenon might reflect the differences in genetic predisposition and environmental exposure, as well as in cancer screening and early treatment of precancerous lesions. Future investigations are required to explore the specific reasons for these differences. Tumor stage is considered an important prognostic factor for cancer patients. However, it is still unclear whether the risk of developing SPM is similar in GC patients with different tumor stages. In the present study, we found that patients in the localized stage had a significantly higher risk of developing SPMs than patients in the regional and distant stages. One possible reason is that patients in the localized stage generally have longer survival durations, providing them with more chances to develop SPMs during their lifetime. The risk of developing SPMs increased with increasing duration since primary GC diagnosis, especially in the period from 60 to 119 months. It is well known that most recurrences and metastases occur within 60 months after the diagnosis of cancer, and postoperative follow-up during the first 60 months is a crucial for cancer survivors. However, according to our results, many GC survivors present with a high risk of developing SPMs after 60 months of follow-up. Therefore, it is vital to screen for SPMs during the long-term follow-up of GC survivors. Early diagnosis of SPMs could provide GC survivors with prolonged survival and better quality of life (21,22). In the present study, there are several potential limitations. First, it is well known that the occurrence of SPMs is the result of a combination of many factors. Not only lifestyle, genetic susceptibility, and environmental factors but also the use of chemotherapy and radiotherapy for primary cancer treatment may increase the risk of developing an SPM (23). However, the SEER database lacks some patient and therapy information, including lifestyle factors, therapeutic strategies used for the primary GC, and comorbidities of GC patients. Additionally, the number of statistical tests performed to estimate the risk of SPMs by tumor type increases the likelihood of observing a false positive significant finding, suggesting that these results should be interpreted with some caution. Finally, misclassification of the treatment received may have led to an underestimate of the actual risk of SPMs associated with radiation therapy (24).

Conclusions

To conclude, GC survivors are at higher risk of developing certain malignancies, particularly malignancies originating in the gastrointestinal tract. Young GC patients have a much higher risk of developing SPMs than older patients. Significant racial disparities also exist: Asian and Pacific Islander patients are less likely to experience SPMs than their counterparts of other races. Localized and regional GC patients are more likely to develop SPMs than their distant-stage counterparts. SPMs are most likely to occur during the period from 60 to 119 months after the initial GC diagnosis. All of these findings have significant clinical implications for the effective prevention and continuous surveillance of SPMs among GC survivors.
  24 in total

Review 1.  The surveillance, epidemiology, and end results program: a national resource.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1999-12       Impact factor: 4.254

2.  An age-period-cohort analysis of gastric cancer mortality from 1950 to 2007 in Europe.

Authors:  Matteo Malvezzi; Martina Bonifazi; Paola Bertuccio; Fabio Levi; Carlo La Vecchia; Adriano Decarli; Eva Negri
Journal:  Ann Epidemiol       Date:  2010-12       Impact factor: 3.797

3.  Multiple primary malignancies--epidemiological analysis at a single tertiary institution.

Authors:  Alexandru Irimie; Patriciu Achimas-Cadariu; Claudia Burz; Emil Puscas
Journal:  J Gastrointestin Liver Dis       Date:  2010-03       Impact factor: 2.008

4.  Occurrence of second cancers in patients treated with radiotherapy for rectal cancer.

Authors:  Helgi Birgisson; Lars Påhlman; Ulf Gunnarsson; Bengt Glimelius
Journal:  J Clin Oncol       Date:  2005-09-01       Impact factor: 44.544

5.  Incidence of gastric cancer and breast cancer in CDH1 (E-cadherin) mutation carriers from hereditary diffuse gastric cancer families.

Authors:  P D Pharoah; P Guilford; C Caldas
Journal:  Gastroenterology       Date:  2001-12       Impact factor: 22.682

6.  Recent patterns in gastric cancer: a global overview.

Authors:  Paola Bertuccio; Liliane Chatenoud; Fabio Levi; Delphine Praud; Jacques Ferlay; Eva Negri; Matteo Malvezzi; Carlo La Vecchia
Journal:  Int J Cancer       Date:  2009-08-01       Impact factor: 7.396

7.  Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis.

Authors:  H F Vasen; J T Wijnen; F H Menko; J H Kleibeuker; B G Taal; G Griffioen; F M Nagengast; E H Meijers-Heijboer; L Bertario; L Varesco; M L Bisgaard; J Mohr; R Fodde; P M Khan
Journal:  Gastroenterology       Date:  1996-04       Impact factor: 22.682

8.  Second primary cancers in patients with gastric cancer.

Authors:  Oktay Buyukasik; Ahmet Oguz Hasdemir; Yusuf Gulnerman; Cavit Col; Ozgur Ikiz
Journal:  Radiol Oncol       Date:  2010-11-16       Impact factor: 2.991

9.  Second primary cancer risk - the impact of applying different definitions of multiple primaries: results from a retrospective population-based cancer registry study.

Authors:  Aishah Coyte; David S Morrison; Philip McLoone
Journal:  BMC Cancer       Date:  2014-04-18       Impact factor: 4.430

10.  Second Primary Malignancies in Adults with Gastric Cancer - A US Population-Based Study.

Authors:  Binay Kumar Shah; Amit Khanal; Yvonne Hewett
Journal:  Front Oncol       Date:  2016-04-11       Impact factor: 6.244

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