Literature DB >> 31821313

Analysis of Homogeneous and Heterogeneous Factors for Bone Metastasis in Esophageal Cancer.

Jin Zhang1, Wenjuan Ma2, Haixiao Wu1, Jun Wang3, Yile Lin1, Xin Wang4, Chao Zhang1.   

Abstract

BACKGROUND Esophageal cancer is a common cancer worldwide. We performed the present study to assess the homogeneous and heterogeneous risk and prognostic factors of bone metastasis (BM) in esophageal cancer patients using data extracted from the Surveillance, Epidemiology, and End Results (SEER) database. MATERIAL AND METHODS Data from patients with esophageal cancer in the SEER database from 2010 to 2016 were extracted to reveal the risk factors for BM through univariable and multivariable logistic regression. Cox hazard regression analysis was used to evaluate the prognostic factors in esophageal cancer patients with BM from 2010 to 2015. RESULTS A total of 2075 (8.0%) patients with initial bone metastasis were diagnosed from among 25 955 patients with esophageal cancer from 2010 to 2016. Male sex, T4 stage, brain metastasis, and liver metastasis were common risk factors for the occurrence and prognosis of BM. Patients with age younger than 67 years, grade III, higher N stage (N1, N2, and N3), histological subtype of esophageal adenocarcinoma or others, and lung metastasis were also more likely to experience bone metastasis, while unmarried patients were associated with shorter survival. CONCLUSIONS The prevalence of initial bone metastasis was approximately 8.0% in esophageal cancer patients. More attention should be paid to patients with revealed risk and prognostic factors because these factors can guide individualize bone metastasis screening and treatment of esophageal cancer patients.

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Year:  2019        PMID: 31821313      PMCID: PMC6924131          DOI: 10.12659/MSM.920483

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Esophageal cancer is a common cancer worldwide. GLOBOCAN 2018 reported the global incidence of esophageal cancer was 3.2% among 35 major cancers. Esophageal cancer, ranking as the ninth most common cancer, resulted in around 5.3% of all cancer-related deaths [1]. Patients at the advanced stage, especially those with distant metastases, showed a significantly shorter survival [2]. Thus, longer survival can be expected in patients who are diagnosed in the early stage. Bone is a common organ for distant metastasis [3,4]. In patients with esophageal cancer, bone metastasis (BM) was reported as the third common metastatic site [5,6]. Larger-scale esophageal cancer screening in some countries is delayed, and the relatively low incidence and high cost of screening make it difficult to satisfactorily identify BM in patients with esophageal cancer. Immunocytochemical analysis [7] and RT-PCR [8] of bone marrow were previously studied to precisely detect metastasis and to predict the survival of patients. 18F-FDG PET(/CT) imaging [9] and bone scan [10] were also commonly performed for patients with high risk of BM. However, these examinations are invasive and expensive, resulting in higher incidence of iatrogenic injury and increased economic burden. Thus, identification and analyses of risk factors are needed to improve BM screening for patients with esophageal cancer [11]. Compared with early-stage cancer patients, the survival of patients with distant metastases is poor. A previous study investigated the association of various metastatic patterns with survival, and found worse survival in patients with BM than in patients with liver metastasis [12]. Therefore, it is important to study the prognostic factors for BM patients with esophageal cancer. A previous study reported younger age, poor differentiation, adenoma type, and more distant metastatic sites were significantly correlated with worse prognosis [5]. However, these aforementioned studies merely focused on metastases to multiple sites without specially investigating the predictive factors for the prognosis of BM patients with esophageal cancer. Using data extracting from the Surveillance, Epidemiology, and End Results (SEER) database, we studied the risk and prognostic factors for esophageal cancer patients with initial BM. Common and specific factors for BM occurrence and survival were identified to improve clinical screening and management.

Material and Methods

Data source and cohort selection

All information used in the present study was derived from the SEER database (), which covers approximately 30% of the population in the USA from 18 registration centers. Due to missing information on metastasis before 2010, we selected patients diagnosed with esophageal cancer between 2010 and 2016 to analyze BM risk factors. Prognostic factors were investigated in a cohort of patients diagnosed from 2010 to 2015 with a follow-up at least for 1 year. Patients were excluded if they were diagnosed via death certificate or at autopsy in this study. Figure 1 shows the flowchart of inclusion and exclusion of patients.
Figure 1

Flowchart of the esophageal cancer patient selection.

The SEER database is an open public database, and informed patient consent is not required for extraction of data. The present study complied with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Statistical analysis

BM risk factors were studied through univariable and multivariable logistic regression analyses, including the following variables: sex (Male vs. Female); age of diagnosis (<67 years and ≥67 years); race [white, black, Asian or Pacific Islander (API), and American Indian/Alaska Native (AI)]; insurance status (uninsured and insured); marital status (unmarried and married); site of primary tumor (upper third including the cervical esophagus, middle third including the thoracic esophagus, and lower third including the abdominal esophagus and overlapping lesion); histological types (esophageal adenocarcinoma [EAC], esophageal squamous cell carcinoma [ESCC] and others); tumor grade (I, II, III, and IV); T stage (T1, T2, T3, and T4); stage of lymph nodes (N0, N1, N2, and N3); other distant metastatic sites including lung (yes or no), liver (yes or no), and brain (yes or no); and surgical treatment for the primary cancer (yes or no). The median overall survival (OS) for patients in each category was calculated. Survival duration was obtained by the Kaplan-Meier method, and the log-rank test was used to evaluate difference among curves. Univariable and multivariable Cox hazard regression were performed based on the revealed factors to evaluate the independent factors for prognosis. Data extraction was performed using the SEER*Stat Software version 8.3.5, and SPSS 23.0 (IBM Corporation, Armonk, NY, USA) was used to conduct all statistical analyses. MedCalc 15.2.2 was used to generate survival curves. Two-sided p-values <0.05 were considered to be statistically significant.

Results

Patient characteristics

According to the defined inclusion and exclusion criteria, a total of 25 955 patients with esophageal cancer were initially identified from 2010 to 2016, among whom 2075 (8.0%) cases were initially diagnosed with BM. Compared with females, older patients, and other races, more patients with BM were male (N=1,788, 86.2%), younger than 67 years old (N=1178, 56.8%), and white race (N=1778, 85.7%). Regarding the tumor sites, the majority of cancers (58.9%) were located in the lower third of the esophagus. Compared with EAC, the main histological subtype was ESCC (N=1414, 68.1%). According to the AJCC, most patients were diagnosed at grade III (N=1020, 49.2%) and N1 (N=1039, 50.1%). Other distant metastases included 832 patients with liver metastases, 558 with lung metastases, and 146 with brain metastases. Details are shown in Table 1.
Table 1

Logistic regression for characteristics to develop initial BM in patients with primary esophageal cancer (diagnosed 2010–2016).

Subject characteristicsNo. of esophageal cancer patientsUnivariableMultivariable
BMEntire cohort%χ2P-valueOR [95% CI]P-valueOR [95% CI]P-value
Sex79.113<0.001
 Male178820 3678.781.00 (Reference)1.00 (Reference)
 Female28755885.140.56 (0.49–0.64)<0.0010.74 (0.59–0.94)0.012
Age82.546<0.001
 <67117812 2569.611.00 (Reference)1.00 (Reference)
 ≥6789713 6996.550.66 (0.60–0.72)<0.0010.81 (0.69–0.95)0.010
Race18.6960.001
 White177821 8898.121.00 (Reference)1.00 (Reference)
 Black19826057.600.93 (0.80–1.08)0.3551.21 (0.90–1.62)0.215
 AI2418013.331.74 (1.13–2.68)0.0120.93 (0.39–2.26)0.878
 API7411966.190.75 (0.59–0.95)0.0171.00 (0.67–1.50)0.996
 Unknown1851.18NANANANA
Insurance recode6.9460.031
 Uninsured8076010.531.00 (Reference)1.00 (Reference)
 Insured194424 5207.930.73 (0.58–0.93)0.0101.25 (0.79–1.98)0.349
 Unknown516757.56NANANANA
Marital status4.7840.091
 Unmarried85410 5508.091.00 (Reference)NANA
 Married1,12613,9418.081.00 (0.91–1.09)0.959NANA
 Unknown9514646.49NANANANA
Primary site82.019<0.001
 Upper third9119224.731.00 (Reference)1.00 (Reference)
 Middle third37948547.811.70 (1.35–2.16)<0.0011.28 (0.86–1.90)0.228
 Lower third122315 8217.731.69 (1.35–2.10)<0.0010.84 (0.56–1.26)0.407
 Overlapping lesion133113211.752.68 (2.03–3.54)<0.0010.98 (0.59–1.63)0.946
 Unknown249222611.19NANANANA
Grade129.251<0.001
 Grade I4812553.821.00 (Reference)1.001.00 (Reference)1.00
 Grade II50284615.931.59 (1.17–2.15)0.0031.08 (0.71–1.64)0.711
 Grade III102010 3969.812.74 (2.04–3.68)<0.0011.66 (1.10–2.50)0.015
 Grade IV333359.852.75 (1.73–4.36)<0.0011.55 (0.73–3.31)0.255
 Unknown47255088.57NANANANA
Histology87.047<0.001
 ESCC49483665.901.00 (Reference)1.00 (Reference)
 EAC141416 1088.781.53 (1.38–1.70)<0.0011.66 (1.30–2.11)<0.001
 Others5542512.942.37 (1.76–3.19)<0.0011.99 (1.06–3.71)0.031
 Unknown112105610.61NANANANA
T stage822.064<0.001
 T136965255.661.00 (Reference)1.00 (Reference)
 T27324772.950.51 (0.39–0.65)<0.0010.58 (0.42–0.79)0.001
 T335580994.380.76 (0.66–0.89)<0.0010.65 (0.53–0.81)<0.001
 T4325280311.592.19 (1.87–2.56)<0.0011.24 (1.00–1.55)0.053
 Unknown953605115.75NANANANA
N stage385.480<0.001
 N046610 5964.401.00 (Reference)1.00 (Reference)
 N11039987910.522.55 (2.28–2.86)<0.0011.96 (1.60–2.39)<0.001
 N21692,4296.961.63 (1.36–1.95)<0.0012.00 (1.51–2.64)<0.001
 N312593113.433.37 (2.73–4.16)<0.0012.97 (2.14–4.12)<0.001
 Unknown276212013.02NANANANA
Brain metastases769.394<0.001
 None185925 3737.331.00 (Reference)1.00 (Reference)
 Yes14645931.815.90 (4.82–7.22)<0.0013.21 (2.15–4.79)<0.001
 Unknown7012356.91NANANANA
Liver metastases1278.829<0.001
 None119121 8635.451.00 (Reference)1.00 (Reference)
 Yes832395821.024.62 (4.20–5.09)<0.0013.56 (2.96–4.29)<0.001
 Unknown5213438.81NANANANA
Lung metastases1083.907<0.001
 None142923 2546.151.00 (Reference)1.00 (Reference)
 Yes558244822.794.51 (4.05–5.03)<0.0012.73 (2.21–3.37)<0.001
 Unknown8825334.78NANANANA

BM – bone metastasis; AI – American Indian/Alaska Native; API – Asian or Pacific Islander; ESCC – esophageal squamous cell carcinoma; EAC – esophageal adenocarcinoma; Met – metastases; OR – odds ratio; CI – confidence interval.

Risk factors for BM

Univariable regression identified less BM occurrence in female patients (OR=0.56, 95% CI: 0.49–0.64), older patients (≥67 years vs. <67 years) (OR=0.66, 95% CI: 0.60–0.72), API race (vs. white; OR=0.75, 95% CI: 0.59–0.95), and T2 (vs. T1; OR=0.51, 95% CI: 0.39–0.65) and T3 (vs. T1; OR=0.76, 95% CI: 0.66–0.89). In contrast, risk of BM was higher in patients of AI race (vs. white; OR=1.74, 95% CI: 1.13–2.86), middle third (vs. upper third; OR=1.70, 95% CI: 1.35–2.16), lower third (vs.upper third; OR=1.69, 95% CI: 1.35–2.10), overlapping lesion (vs. upper third; OR=2.68, 95% CI: 2.03–3.54), higher tumor grade (II, III and IV vs. grade I), higher T stage (T2–T4 vs. T1) and N3 stage (vs. N0), EAC subtype (vs. ESCC; OR=1.53, 95% CI: 1.38–1.70), and patients with metastasis to liver (OR=4.62, 95% CI: 4.20–5.09), lung (OR=4.51, 95% CI: 4.05–5.03), and brain (OR=5.90, 95% CI: 4.82–7.22). Multivariable analysis further confirmed BM was negatively associated with female sex (OR=0.74, 95% CI: 0.59–0.94), older age (OR=0.81, 95% CI: 0.69–0.95), and higher T stage. More BM was positively associated with grade III (OR=1.66, 95% CI: 1.10–2.50), histological EAC subtype (OR=1.66, 95% CI: 1.30–2.11), higher N stage (N1N3), and metastasis to liver, lung, and brain. Race, insurance, marital status, and primary site were not independent factors for BM occurrence. More details were provided in Table 1.

Survival estimation and prognostic factors identification in esophageal cancer patients with BM

A total of 1733 esophageal cancer patients with BM, diagnosed from 2010 to 2015, were extracted to estimate the survival and identify the prognostic factors. Among these patients, only 25 patients received surgical treatment of the primary site (Table 2). The median OS for all the patients with esophageal cancer was 11 (95% CI: 10.7–11.3) months, and it was decreased to 4 (95% CI 3.7–4.3) months in patients with BM. Kaplan-Meier analysis was performed among esophageal cancer patients diagnosed with initial BM (Figure 2A, overall), stratified by sex (Figure 2B), age (Figure 2C), race (Figure 2D), insurance recode (Figure 2E), marital status (Figure 2F), primary site (Figure 2G), grade (Figure 2H), histopathologic groups (Figure 2I), T stage (Figure 2J), N stage (Figure 2K), brain metastasis (Figure 2L), liver metastasis (Figure 2M), lung metastasis (Figure 2N), and surgical treatments of the primary site (Figure 2O).
Table 2

Cox regression for analyzing the mortality among BM patients in primary esophageal cancer (diagnosed 2010–2015).

Subject characteristicsNo. of patients with BMSurvival, median (IQR), moUnivariableMultivariable
OverallDeceased (rate, %)HR [95% CI]P-valueHR [95% CI]P-value
Sex
 Male14881439 (96.71)4 (3.68–4.32)1.00 (Reference)1.00 (Reference)
 Female245233 (95.10)4 (3.29–4.71)0.92 (0.80–1.06)0.2290.77 (0.60–0.99)0.043
Age
 <67987951 (96.35)4 (3.56–4.44)1.00 (Reference)1.00 (Reference)
 ≥67746721 (96.65)3 (2.63–3.37)1.11 (1.01–1.22)0.0331.18 (0.99–1.40)0.060
Race
 White14921435 (96.18)4 (3.68–4.32)1.00 (Reference)1.00 (Reference)
 Black161161 (100.00)3 (2.41–3.59)1.22 (1.04–1.44)0.0171.10 (0.79–1.53)0.575
 AI1717 (100.00)3 (0.58–5.42)1.23 (0.76–1.98)0.3980.91 (0.37–2.23)0.840
 API6359 (93.65)3 (1.60–4.40)1.03 (0.79–1.34)0.8160.94 (0.61–1.44)0.777
 UnknownNANANANANA
Insurance recode
 Uninsured7272 (100.00)1 (0.38–1.62)1.00 (Reference)1.00 (Reference)
 Insured16151554 (96.22)4 (3.70–4.30)0.62 (0.49–0.78)<0.0010.65 (0.41–1.04)0.071
 Unknown4646 (100.00)NANANANANA
Marital status
 Unmarried704689 (97.87)3 (2.68–3.32)1.00 (Reference)1.00 (Reference)
 Married947903 (95.35)5 (4.57–5.43)0.71 (0.64–0.78)<0.0010.79 (0.66–0.94)0.009
 Unknown8280 (97.56)NANANANANA
Primary site
 Upper third7473 (98.65)3 (1.60–4.40)1.00 (Reference)1.00 (Reference)
 Middle third325315 (96.92)4 (3.36–4.64)0.87 (0.67–1.12)0.2740.76 (0.50–1.15)0.193
 Lower third1009973 (96.43)4 (3.53–4.47)0.78 (0.61–0.99)0.0390.85 (0.56–1.29)0.441
 Overlapping lesion107102 (95.33)2 (1.03–2.97)1.02 (0.75–1.38)0.9031.10 (0.64–1.88)0.731
 Unknown218209 (95.87)NANANANANA
Grade
 Grade I4238 (90.48)6 (2.82–9.18)1.00 (Reference)1.00 (Reference)
 Grade II415399 (96.14)5 (4.29–5.71)1.30 (0.93–1.82)0.1200.96 (0.61–1.49)0.849
 Grade III854826 (96.72)3 (2.59–3.41)1.61 (1.16–2.23)0.0041.14 (0.73–1.76)0.565
 Grade IV2727 (100.00)4 (1.96–6.04)1.40 (0.85–2.31)0.1841.98 (0.92–4.29)0.082
 Unknown395382 (96.71)NANANANANA
Histology
 ESCC409396 (96.82)3 (2.52–3.48)1.00 (Reference)1.00 (Reference)
 EAC11791132 (96.01)4 (3.58–4.42)0.82 (0.74–0.93)0.0010.79 (0.61–1.01)0.061
 Others4545 (100.00)2 (0.54–3.46)0.99 (0.73–1.34)0.9340.66 (0.36–1.22)0.181
 Unknown10099 (99.00)NANANANANA
T stage
 T1349337 (96.56)4 (3.44–4.56)1.00 (Reference)1.00 (Reference)
 T25852 (89.66)7 (4.51–9.49)0.59 (0.44–0.79)<0.0010.52 (0.35–0.76)0.001
 T3294279 (94.90)6 (5.10–6.90)0.76 (0.65–0.89)0.0010.82 (0.66–1.01)0.060
 T4275269 (97.82)3 (2.39–3.61)1.15 (0.98–1.35)0.0851.27 (1.01–1.59)0.039
 Unknown757735 (97.09)NANANANANA
N stage
 N0391380 (97.19)3 (2.40–3.60)1.00 (Reference)1.00 (Reference)
 N1913881 (96.50)4 (3.54–4.46)0.93 (0.83–1.05)0.2420.93 (0.75–1.14)0.475
 N2123118 (95.93)5 (3.88–6.12)0.83 (0.68–1.03)0.0851.08 (0.79–1.47)0.641
 N38980 (89.89)3 (1.32–4.68)0.90 (0.71–1.15)0.3991.16 (0.82–1.66)0.404
 Unknown217213 (98.16)NANANANANA
Brain metastases
 None15501495 (96.45)4 (3.68–4.32)1.00 (Reference)1.00 (Reference)
 Yes122118 (96.72)3 (2.26–3.74)1.37 (1.14–1.66)0.0011.76 (1.24–2.51)0.002
 Unknown6159 (96.72)NANANANANA
Liver metastases
 None1011971 (96.04)4 (3.55–4.45)1.00 (Reference)1.00 (Reference)
 Yes672652 (97.02)3 (2.59–3.41)1.22 (1.11–1.35)<0.0011.24 (1.04–1.48)0.015
 Unknown5049 (98.00)NANANANANA
Lung metastases
 None11871141 (96.12)4 (3.60–4.40)1.00 (Reference)1.00 (Reference)
 Yes465451 (96.99)3 (2.56–3.44)1.23 (1.10–1.37)<0.0011.16 (0.95–1.42)0.140
 Unknown8180 (98.77)NANANANANA
Surg (prim)
 None17061649 (96.66)4 (3.70–4.30)1.00 (Reference)1.00 (Reference)
 Yes2521 (84.00)8 (3.10–12.90)0.56 (0.36–0.86)0.0090.57 (0.31–1.08)0.084
 Unknown22 (100.00)NANANANANA

BM – bone metastasis; AI – American Indian/Alaska Native; API – Asian or Pacific Islander; ESCC – esophageal squamous cell carcinoma; EAC – esophageal adenocarcinoma; Met – metastases; Surg (prim) – surgical treatment of primary site; HR – hazard ratio; CI – confidence interval.

Figure 2

Kaplan-Meier analysis of overall survival for esophageal cancer patients with initial BM. (A) Overall; (B) sex; (C) age; (D) race; (E) insurance recode; (F) marital status; (G) primary site; (H) grade; (I) histopathologic groups; (J) T stage; (K) N stage; (L) brain metastasis; (M) liver metastasis; (N) lung metastasis; (O) surgical treatments on the primary site.

Univariable Cox regression analysis suggested improved survival in married patients (HR=0.71, 95% CI: 0.64–0.78), those with insurance (HR=0.62, 95% CI: 0.49–0.78), tumor in the lower third sites (HR=0.78, 95% CI: 0.61–0.99), histological subtype of EAC (HR=0.82, 95% CI: 0.74–0.93), T2 stage (HR=0.59, 95% CI: 0.44–0.79), T3 stage (HR=0.76, 95% CI: 0.65–0.89), and patients after surgery for the primary site (HR=0.56, 95% CI: 0.36–0.86). Patients older than 67 years (HR=1.11, 95% CI: 1.01–1.22), black race (HR=1.22, 95% CI: 1.04–1.44), and with distant metastases to liver (HR=1.22, 95% CI: 1.11–1.35), lung (HR=1.23, 95% CI: 1.10–1.37) and brain (HR=1.37, 95% CI: 1.14–1.66) showed worse OS. Multivariable Cox analysis only confirmed the female, being married, and T2 stage as the protective factors for patients with BM, while T4 stage, brain metastases, and liver metastases were risk factors. More details were given in Table 2. Therefore, the homogeneous risk factors for the occurrence and prognosis of BM in esophageal cancer were male, T4 stage, liver metastasis, and brain metastasis. Patients younger than 67 years, grade III, N1N3, histological subtype of EAC or others, and lung metastases were more likely to have BM occurrence, while unmarried patients were associated with worse survival (Figure 3).
Figure 3

The identification of risk and prognostic factors of BM in esophageal cancer.

Discussion

In the present study, large-population-based research was conducted to thoroughly study the risk and prognostic factors for initial BM in esophageal cancer. Results suggested 8.0% of patients with esophageal cancer were diagnosed with initial BM. Limited by the weakness of BM precise detection in the early stage without significant symptoms, the actual BM incidence in esophageal cancer patients may be underestimated. Investigating the risk factors was important for identifying patients at high risk for distant metastases [13,14] Results in our study revealed that patients with age younger than 67 years, male sex, T4 stage grade III, N1–3, histological subtype of EAC or others, and metastasis to liver, lung, and brain were more likely to have BM. These revealed risk factors can guide the identification of esophageal cancer patients with high risk of developing BM. A previous study showed that a missed preoperative bone scan was independently associated with poor survival [10]. Thus, bone scans should be recommended for patients with high risk of metastasis. Furthermore, the revealed risk factors could be used to establish an initial BM prediction system in esophageal cancer. Early diagnosis and timely treatment are crucial to improve the survival of cancer patients. Distant metastases, including liver, lung, and bone, in the advanced stages significantly reduces life expectancy [15]. Thus, identification of predictive prognostic factors is important in clinical cancer management. Previous studies described patterns of distant metastases in esophageal cancer and reported worse survival in male patients [16], unmarried patients [17], black patients and racial difference for surgery [18]. In this study, we further confirmed the females, married patients, and T2 stage are protective factor for BM, while T4 stage, brain metastases, and liver metastases as the risk factors for BM. Surgery was only performed in 25 patients in the cohort, making it difficult to evaluate the real effect of surgery on survival. All these aforementioned prognostic factors can be applied to tailor the individualized treatment regimen and improve patient survival. EAC and ESCC were the 2 major types of esophageal cancer. Previous studies showed different risk factors and incidence patterns [19], metastatic patterns, and higher male-to-female ratio for BM incidence in different types [20]. In our study, we found more BM occurrence in EAC, but a trend of better survival, although the difference was not statistically significant. Regarding the different origination, main causes, and location for ESCC and EAC [20,21], further research is needed to compare metastatic behavior and survival between these 2 types of esophageal cancer. Bone is one of the most common metastatic sites for a number of solid tumors. A series of resident cells in bone form the complex tissue and participate in bone functions. Osteoblasts and osteoclasts play major roles in bone remodeling [22]. To meet the various needs of the host, bone physiology can be regulated through osteoblasts and osteoclasts [23]. However, solid tumors can disrupt the delicate balance of bone physiology and result in an environment that promotes metastasis [24]. Recent studies reported the diverse homogeneous and heterogeneous associated factors in cancers correlated with bone metastasis [3,4,13,14]. Few studies have assessed the correlation between bone homeostasis and esophageal cancer, and further research is needed to identify the underlying mechanism. Currently, there has been no clear screening guide for BM in cancers. For the diagnosis of BM, based on different imaging systems, 5 main imaging strategies are accepted: PET-CT, bone scintigraphy, MRI, CT, and X-ray. In a recent study on prostate cancer patients with BM, PET-CT was proved to have the highest per-patient sensitivity and specificity in detecting BM [25]. Bone scintigraphy has the advantage of being considerably cheaper than PET-CT. A recent study suggested bone scintigraphy combined with parallelepiped classification method could play an important role in the detection of BM, allowing for an easier but correct interpretation of the images [26]. MRI, CT, and X-ray can be applied for the detection of the specific metastatic site. Undoubtedly, with the development of BM diagnostic research, a detailed BM screening guide will be needed. Based on the largest cohort from the SEER database, we identified homogeneous and heterogeneous factors for initial BM in esophageal cancer patients. Our study has certain limitations that should be mentioned to better interpret the findings. Many important factors, such as region, environment, and genetic characteristics, were not available in the SEER database. Only patients with synchronous diagnosis of cancer and BM are available in the SEER database, making it impossible to evaluate the effect of interval from initial cancer to BM development on survival. Detail types of BM cannot be assessed, resulting in bias in survival evaluation. More information on treatment, including chemotherapy, radiotherapy, and surgery, are needed to evaluate their effects on patient survival.

Conclusions

Using the data from the SEER database, we found that the incidence of initial BM in esophageal cancer patients was approximately 8.0%. A series of risk factors for occurrence of BM were found, in which BM was negatively associated with female sex, older age, and higher T stage. More BM was positively associated with grade III, histological EAC subtype, higher N stage, and metastasis to liver, lung, and brain. We also found prognostic factors for BM patient survival in esophageal cancer. Female sex, being married, and T2 stage were the protective factors for survival of BM patients, while T4 stage, brain metastases, and liver metastases were risk factors. Individual assessment and prediction can be performed based on these independent factors, especially the homogeneous factors.
  25 in total

1.  Bone marrow micrometastases in esophageal carcinoma: a 10-year follow-up study.

Authors:  R T Gray; M E O'Donnell; R M Verghis; W G McCluggage; P Maxwell; J A McGuigan; G M Spence
Journal:  Dis Esophagus       Date:  2012-01-13       Impact factor: 3.429

2.  Comparison of PSMA-PET/CT, choline-PET/CT, NaF-PET/CT, MRI, and bone scintigraphy in the diagnosis of bone metastases in patients with prostate cancer: a systematic review and meta-analysis.

Authors:  Jing Zhou; Zhengxing Gou; Renhui Wu; Yuan Yuan; Guiquan Yu; Yigang Zhao
Journal:  Skeletal Radiol       Date:  2019-05-24       Impact factor: 2.199

Review 3.  Understanding the Bone in Cancer Metastasis.

Authors:  Jaime Fornetti; Alana L Welm; Sheila A Stewart
Journal:  J Bone Miner Res       Date:  2018-11-26       Impact factor: 6.741

4.  Detection of distant interval metastases after neoadjuvant therapy for esophageal cancer with 18F-FDG PET(/CT): a systematic review and meta-analysis.

Authors:  T E Kroese; L Goense; R van Hillegersberg; B de Keizer; S Mook; J P Ruurda; P S N van Rossum
Journal:  Dis Esophagus       Date:  2018-12-01       Impact factor: 3.429

5.  Underuse of Surgery Accounts for Racial Disparities in Esophageal Cancer Survival Times: A Matched Cohort Study.

Authors:  Jing Dong; Xiangjun Gu; Hashem B El-Serag; Aaron P Thrift
Journal:  Clin Gastroenterol Hepatol       Date:  2018-07-20       Impact factor: 11.382

Review 6.  Osteoblasts and osteoclasts in bone remodeling and inflammation.

Authors:  Yoshiya Tanaka; Shingo Nakayamada; Yosuke Okada
Journal:  Curr Drug Targets Inflamm Allergy       Date:  2005-06

7.  Bone marrow micrometastasis detected by RT-PCR in esophageal squamous cell carcinoma.

Authors:  Shoji Natsugoe; Saburo Nakashima; Akihiro Nakajo; Masataka Matsumoto; Hiroshi Okumura; Koki Tokuda; Futoshi Miyazono; Fumio Kijima; Kuniaki Aridome; Sumiya Ishigami; Sonshin Takao; Takashi Aikou
Journal:  Oncol Rep       Date:  2003 Nov-Dec       Impact factor: 3.906

8.  Patterns of Distant Metastasis Between Histological Types in Esophageal Cancer.

Authors:  San-Gang Wu; Wen-Wen Zhang; Jia-Yuan Sun; Feng-Yan Li; Qin Lin; Zhen-Yu He
Journal:  Front Oncol       Date:  2018-08-08       Impact factor: 6.244

9.  Incidence of bone metastasis and factors contributing to its development and prognosis in newly diagnosed renal cell carcinoma: a population-based study.

Authors:  Qi Guo; Chao Zhang; Xu Guo; Fang Tao; Yao Xu; Guowei Feng; Xiuxin Han; Zhiwu Ren; Hui Zhang; Pingfang Zhang; Xin Wang; Guowen Wang
Journal:  Cancer Manag Res       Date:  2018-08-28       Impact factor: 3.989

10.  Oesophageal cancer incidence in the United States by race, sex, and histologic type, 1977-2005.

Authors:  M B Cook; W-H Chow; S S Devesa
Journal:  Br J Cancer       Date:  2009-08-11       Impact factor: 7.640

View more
  7 in total

1.  Non-cancer Causes of Death Following Initial Synchronous Bone Metastasis in Cancer Patients.

Authors:  Yao Xu; Basel Abdelazeem; Kirellos Said Abbas; Yile Lin; Haixiao Wu; Fei Zhou; Karl Peltzer; Vladimir P Chekhonin; Shu Li; Huiyang Li; Wenjuan Ma; Chao Zhang
Journal:  Front Med (Lausanne)       Date:  2022-06-02

2.  Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system.

Authors:  Chao Zhang; Guijun Xu; Yao Xu; Haixiao Wu; Xu Guo; Min Mao; Vladimir P Baklaushev; Vladimir P Chekhonin; Karl Peltzer; Ye Bai; Guowen Wang; Wenjuan Ma; Xin Wang
Journal:  Aging (Albany NY)       Date:  2020-08-27       Impact factor: 5.682

3.  Bone metastasis of esophageal carcinoma diagnosed as a first primary tumor: a population-based study.

Authors:  Rong-Chun Wang; Xiao-Long Liu; Chen Qi; Hao Chen; Yi-Yang Liu; De-Min Li; Hai-Zhu Song; Jun Yi
Journal:  Transl Cancer Res       Date:  2022-01       Impact factor: 1.241

4.  99m Tc bone scintigraphy does not affect preoperative workup for patients with potentially resectable esophageal squamous cell carcinoma.

Authors:  Xiu-Feng Wei; Xian-Kai Chen; Lu Lu; Peng Luo; Lei Xu; Hou-Nai Xie; Ya-Fan Yang; Yong-Kui Yu; Hao-Miao Li; Qi Liu; Rui-Xiang Zhang; Jian-Jun Qin; Yin Li
Journal:  Thorac Cancer       Date:  2022-07-10       Impact factor: 3.223

5.  Molecular mechanism, regulation, and therapeutic targeting of the STAT3 signaling pathway in esophageal cancer (Review).

Authors:  Rui-Jie Ma; Chao Ma; Kang Hu; Meng-Meng Zhao; Nan Zhang; Zhi-Gang Sun
Journal:  Int J Oncol       Date:  2022-07-20       Impact factor: 5.884

6.  Metastasis Patterns and Prognosis of Elderly Patients With Esophageal Adenocarcinoma in Stage IVB: A Population-Based Study.

Authors:  Guanghao Qiu; Hanlu Zhang; Fuqiang Wang; Yu Zheng; Zihao Wang; Yun Wang
Journal:  Front Oncol       Date:  2021-05-28       Impact factor: 6.244

7.  Hepatic Metastasis in Newly Diagnosed Esophageal Cancer: A Population-Based Study.

Authors:  Huawei Li; Shengqiang Zhang; Jida Guo; Linyou Zhang
Journal:  Front Oncol       Date:  2021-05-10       Impact factor: 6.244

  7 in total

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