Literature DB >> 32395526

Incidence of patients with bone metastases at diagnosis of solid tumors in adults: a large population-based study.

Jin-Feng Huang1, Jianfei Shen2, Xiao Li3, Ramesh Rengan4, Nicola Silvestris5,6, Minqi Wang7, Lisa Derosa8, Xuanqi Zheng1, Andrea Belli9, Xiao-Lei Zhang1, Yan Michael Li10, Aimin Wu1.   

Abstract

BACKGROUND: Bones are one of the most common metastatic sites for solid malignancies. Bone metastases can significantly increase mortality and decrease the quality of life of cancer patients. In the United States, around 350,000 people die each year from bone metastases. This study aimed to analyze and update the incidence and prognosis of bone metastases with solid tumors at the time of cancer diagnosis and its incidence rate for each solid cancer.
METHODS: We used the Surveillance, Epidemiology, and End Results (SEER) database to find patients diagnosed with solid cancers originating from outside the bones and joints between 2010 and 2016. Data were stratified by age, sex, and race. Patients with a tumor in situ or with an unknown bone metastases stage were excluded. We then selected most of the sites where cancer often occurred, leaving 2,207,796 patients for the final incidence analysis. For the survival analysis, patients were excluded if they were diagnosed at their autopsy or on their death certificate, or had unknown follow-ups. The incidence of bone metastases and overall survival was compared between patients with different primary tumor sites.
RESULTS: We identified 2,470,634 patients, including 426,594 patients with metastatic disease and 113,317 patients with bone metastases, for incidence analysis. The incidence of bone metastases among the metastatic subset was 88.74% in prostate cancer, 53.71% in breast cancer, and 38.65% in renal cancer. In descending order of incidence, there were patients with other cancers in the genitourinary system (except for renal, bladder, prostate, and testicular cancer) (37.91%), adenocarcinoma of the lung (ADC) (36.86%), other gynecologic cancers (36.02%), small-cell lung cancer (SCLC) (34.56%), non-small cell lung cancer not otherwise specified and others [NSCLC (NOS/others)] (33.55%), and bladder (31.08%) cancers. The rate of bone metastases is 23.19% in SCLC, 22.50% in NSCLC (NOS/others), 20.28% in ADC, 8.44% in squamous cell carcinoma of the lung (SCC), and 4.11% in bronchioloalveolar carcinoma [NSCLC (BAC)]. As for the digestive system, the overall bone metastases rate was 7.99% in the esophagus, 4.47% in the gastric cancer, 4.42% in the hepatobiliary cancer, 3.80% in the pancreas, 3.26% in other digestive organs, 1.24% in the colorectum, and 1.00% in the anus. Overall, the incidence rate of bone metastases among the entire cohort in breast and prostate cancer was 3.73% and 5.69%, respectively.
CONCLUSIONS: The results of this study provide population-based estimates for the incidence rates of patients with bone metastases at initial diagnosis of their solid tumor. The findings can help clinicians to early detect bone metastases by bone screening to anticipate the occurrence of symptoms and favorably improve the prognosis. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Bone metastases; Surveillance, Epidemiology, and End Results (SEER); incidence; prognosis

Year:  2020        PMID: 32395526      PMCID: PMC7210217          DOI: 10.21037/atm.2020.03.55

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Bones are one of the most common sites of metastases for many types of solid cancers (1-4). Bone metastases have an increased risk of serious skeletal-related events (SREs), such as pathological fractures, pain, hypercalcemia, and spinal cord compressions, which can seriously impair patients’ quality of life (5-9). Bone metastases also lead to a significant increase in mortality and morbidity (10-12). In the United States, around 350,000 people die each year from bone metastasis (13). Several patients with bone metastasis and SREs are affected by breast or prostate cancer, while lower rates are observed in patients with lung, kidney, thyroid, or other cancers (4,14). The incidence rate of bone metastases in the United States is still unknown, and estimates have varied from 21,000–400,000 per annum. Though bone metastases can impact the mortality and quality of life of patients with cancer, more extensive population-based studies researching the incidence and prognosis of patients with bone metastases are lacking. Previous studies have shown that the prevalence of bone metastases is more than 70% in patients with metastatic breast and prostate cancer, and approximately 30% in metastatic renal cell carcinoma (1,12,15-18). However, there are no studies which provide information on the incidence of bone metastasis in other common cancers or systemic malignancies. Also, earlier studies cannot reflect the recent incidence and survival trends of patients with bone metastases (19). Our study was conducted to estimate the incidence and prognosis of patients with bone metastases using the Surveillance, Epidemiology, and End Results (SEER) database that includes information on cancer incidence, treatment, and survival for approximately 30% of the American population (20). Specifically, we estimated the incidence proportion of patients’ bone metastases among solid tumors, considering tumor histology at the time of initial diagnosis.

Methods

Data source and cohort population

For our study, the SEER database was used. Inclusion criteria were adult patients (age ≥18 years) with a diagnosis of an invasive solid tumor originating outside of the bone and joints between January 1, 2010, and December 31, 2016. Patients were excluded if information relating to the presence or absence of bone metastases was unavailable. Other exclusion criteria were patients with diagnosis of carcinoma in situ and patients with a diagnosis of a rare tumor such as thymus cancer, heart cancer, mediastinum cancer, pleura cancer, spleen cancer, reticuloendothelial cancer, skin cancer, connective and soft tissue cancer, adrenal gland cancer, parathyroid gland cancer, other endocrine gland cancer, mesothelioma, Kaposi sarcoma, and lymphoma. For the survival analysis, patients were excluded if they were diagnosed at the time of the autopsy or at the issuing of the death certificate, or if they had unknown survival time or survival status.

Statistical analysis

Total numbers and incidence proportions of patients who were diagnosed with bone metastases were computed and then stratified by cancer type. The patients with lung cancer were classified by tumor histology using the International Classification of Disease for Oncology, 3rd Edition (ICD-O-3). Metastatic stage was conducted following the 7th edition of the American Joint Committee on Cancer staging manual, and then we defined patients with metastatic cancer as a subset with metastatic disease. We defined patients with bone metastases as a subset with bone metastases. The incidence proportion was defined as the number of patients diagnosed with bone metastases and a specific primary cancer divided by the total number of individuals diagnosed with that primary cancer; we also defined a second incidence proportion in which the denominator was restricted to patients with metastatic disease. The metastatic status of the brain, lung, and liver was also available, and we used it to characterize the extent of systemic disease, and subsequently calculated the incidence and median survival of patients with bone metastases classified by the extent of systemic disease. For survival estimates, we used the Kaplan-Meier method, taking into account a P value ≤0.05 as significant. The statistical analysis was generated and visualized with SPSS software (version 18; IBM Corp., USA).

Results

First, we identified 9,316,084 patients aged ≥18 years who were diagnosed with an invasive solid malignancy originating outside of the bone and joints between January 1, 2010 and December 31, 2016. The SEER database includes information on cancer incidence, treatment, and survival for approximately 30% of the American population. Patients were excluded in the cohort if the carcinoma is was in situ. Patients with an unknown bone metastases stage were excluded, leaving 2,470,634 patients for analysis. We then selected most of the sites where cancer often occurred, leaving 2,207,796 patients for the final incidence analysis ().
Figure 1

Selection of study patients.

Selection of study patients. Between 2010–2016, a total of 2,207,796 patients had a diagnosis of cancer from common solid organs, and 426,594 patients had metastatic disease. We found 113,317 patients with bone metastases, which accounted for 5.13% of all patients, and 26.56% of those patients had metastatic disease. Next, we found that the rate of bone metastases varied widely by primary cancer type (; ). As shown in , the bone metastasis rate is the highest in lung cancer. More specifically, the rate of bone metastases is 23.19% for small-cell lung cancer (SCLC), 22.50% in non-small cell lung cancer not otherwise specified and others [NSCLC (NOS/others)], 20.28% for adenocarcinoma of the lung (ADC), 8.44% in squamous cell carcinoma of the lung (SCC), and 4.11% in bronchioloalveolar carcinoma [NSCLC (BAC)]. In analyzing the gastrointestinal tumors, the rate of bone metastases is 7.99% in the esophagus, 4.47% in the gastric system, 4.42% in the hepatobiliary system, 3.80% in the pancreas, 3.26% in other digestive organs, 1.24% in colorectum, and 1.00% in the anus. Among patients with renal cancer, prostate and breast cancer,16.08%, 5.69%, and 3.73% of patients were respectively found to have bone metastases.
Table 1

Incidence proportion and median survival of patients with identified bone metastases at diagnosis by primary cancer site

SiteSub-siteNumber of patients with cancer (any stage)Number of patients with metastatic diseaseNumber of patients with bone metastases at diagnosisIncidence proportion of bone metastases among entire cohort (%)Incidence proportion of bone metastases among subset with metastatic disease (%)Median survival in months (interquartile range) among patients with bone metastases (months)
Head and neck1Head and neck177,61011,2671,1141.449.898 [3–18]
ThyroidThyroid88,3563,3476790.7720.2923 [4–82]
BreastBreast436,34730,28516,2663.7353.7127 [8–57]
Respiratory systemSCLC39,76526,6869,22323.1934.565 [1–10]
SCC93,24033,8397,8678.4423.253 [1–7]
ADC147,19480,98129,84620.2836.865 [1–13]
NSCLC (BAC)4,4751,0241844.1117.977 [3–20]
NSCLC (NOS/others)20,62213,2244,43421.5033.533 [1–8]
Digestive systemEsophagus25,95510,0052,0757.9920.7411 [4–36]
Gastric43,57015,5251,9474.4712.543 [1–8]
Hepatobiliary72,01516,4543,1864.4219.363 [1–7]
Pancreatic74,66039,5352,8353.807.172 [1–6]
Colorectal249,27352,3113,0851.245.905 [1–15]
Anal12,1501,5841211.007.643 [NR–7]
Other digestive organs23,5148,2297673.269.323 [1–8]
GenitourinaryRenal101,12114,4985,63016.0838.656 [2–17]
Bladder124,2795,9211,8401.4831.084 [1–10]
Prostate346,84422,25719,7505.6988.7425 [11–55]
Testicular16,6611,9931430.867.18NR [7–NR]
Other GU8,4677572873.3937.914 [1–9]
GynecologicOvarian37,46823,8904221.131.775 [1–17]
Endometrial93,1498,3048470.9110.206 [2–15]
Cervical22,7743,5855582.4515.566 [2–15]
Other gynecologic15,1604971791.1836.026 [2–16]
Brain and other nervous systemBrain and other nervous system33,127596590.189.9015 [3–NR]

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung cancer; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached.

Figure 2

Incidence proportion of patients diagnosed with bone metastases within the entire cohort. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic.

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung cancer; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached. Incidence proportion of patients diagnosed with bone metastases within the entire cohort. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic. Moreover, and show the incidence proportion of patients with bone metastases among the metastatic subset (patients with stage IV disease at diagnosis). The incidence of bone metastases among the metastatic subset is 88.74% in prostate cancer, 53.71% in breast cancer, and 38.65% in renal cancer. In descending order, patients with other cancers of the genitourinary system (except renal, bladder, prostate, testicular) (37.91%), ADC (36.86%), other gynecologic cancers (except ovarian, endometrial, and endometrial cancer) (36.02%), SCLC (34.56%), NSCLC (NOS/others) (33.55%), and bladder cancer (31.08%), showed an incidence proportion of bone metastases of >30%.
Figure 3

Incidence proportion of patients diagnosed with bone metastases within subset with metastatic disease. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic.

Incidence proportion of patients diagnosed with bone metastases within subset with metastatic disease. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic. and show the median survival time of patients with bone metastases in different systemic malignancies. The median survival time among patients with breast cancer and bone metastases, prostate cancer, and bone metastases and thyroid cancer, and bone metastases are 27, 25, and 23 months, respectively. The survival time of the 3 cancers mentioned above is higher than the others. The median survival time of other tumors with bone metastases is less than 10 months. In general, survival is worse in patients with digestive system cancer and bone metastases compared with other types of primary cancer. The median survival time in patients with hepatobiliary, gastric, and anal tumors is 3 months. Among patients with pancreatic tumor and bone metastases, the median survival time is 2 months.
Figure 4

Median survival of patients with identified bone metastases. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic.

Median survival of patients with identified bone metastases. SCLC, small-cell lung cancer; NSCLC, non-small cell lung cancer; BAC, bronchioloalveolar carcinoma; NOS, not otherwise specified; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; GI, gastrointestinal; GU, genitourinary; GYN, gynecologic. Incidence proportion and median survival time of patients with bone metastases, as organized based on the presence or absence of brain, liver, and lung metastases, are shown in . In summary, the incidence of bone metastasis was higher, and survival time was shorter among patients with more extensive metastases at diagnosis. The incidence of bone-only metastasis was 13.98% in NSCLC (NOS/others), 12.64% in SCLC, and 11.81% in ADC. In descending order, patients with bladder cancer (5.14%), SCC (4.90%), esophageal cancer (4.52%), gastric cancer (2.86%), hepatobiliary cancer (2.74%), renal cancer (2.65%), breast cancer (2.22%), and NSCLC (BAC) (2.02%) showed an incidence proportion of bone metastases of >2%. The median survival time among patients with bone-only metastases in thyroid cancer, breast cancer, prostate cancer, and anal cancer was 60, 35, 27, and 20 months, respectively.
Table 2

Incidence proportion and median survival of patients with bone metastases by extent of systemic disease

SiteSub-siteType of systemic metastasisNumber of patientsNumber of patients with bone metastasesProportion with bone metastases (%)Median survival in months (interquartile range)
Head and neck1Head and neck1Lung1,28421716.906 [3–13]
Liver37215842.478 [3–18]
Brain772127.275 [1–18]
2 of 327312244.694 [2–12]
All 3181266.675 [1–13]
None75,3715320.7110 [4–23]
ThyroidThyroidLung1,07622420.8211 [2–49]
Liver953132.634 [1–13]
Brain481735.425 [2–NR]
2 of 31426344.375 [2–12]
All 38562.502 [1–6]
None86,9873390.3960 [12–NR]
BreastBreastLung4,9262,41449.0124 [7–50]
Liver3,6902,04255.3418 [4–42]
Brain75241855.5915 [4–34]
2 of 32,5041,69267.5711 [2–30]
All 334928080.234 [1–17]
None424,1269,4152.2235 [14–69]
Respiratory systemSCLCLung2,27952322.956 [1–11]
Liver7,8492,91637.155 [1–9]
Brain3,48958016.625 [2–10]
2 of 33,9301,71043.514 [1–8]
All 351729957.833 [1–7]
None20,4442,58412.647 [2–12]
SCCLung6,0651,05117.333 [1–7]
Liver2,44596839.593 [1–6]
Brain2,35449020.823 [1–6]
2 of 31,90483243.702 [1–5]
All 328416056.342 [1–4]
None79,0773,8774.904 [1–9]
ADCLung14,4854,23329.225 [2–14]
Liver5,2652,82953.733 [1–9]
Brain11,8393,35728.365 [2–14]
2 of 38,2734,40253.213 [1–10]
All 31,35399073.173 [1–9]
None102,52712,10611.816 [2–15]
NSCLC (BAC)Lung3523810.8011 [4–15]
Liver241354.172 [1–10]
Brain531528.3010 [3–19]
2 of 3552749.097 [3–21]
All 33133.336 [NA]
None3,953802.0211 [3–23]
NSCLC (NOS/others)Lung1,88153828.603 [1–8]
Liver1,09348244.102 [1–7]
Brain2,12448522.833 [1–8]
2 of 31,35860444.482 [1–5]
All 322312957.852 [1–4]
None13,3061,86013.984 [1–9]
Digestive systemEsophagusLung1,24223919.2410 [4–42]
Liver2,72250518.5510 [3–30]
Brain2285825.449 [4–30]
2 of 31,20631025.7011 [4–43]
All 3873843.6814 [7–NR]
None20,4709254.5213 [4–36]
GastricLung97919119.514 [1–7]
Liver5,3424067.603 [1–9]
Brain1373424.823 [1–4]
2 of 31,18626722.512 [NR–8]
All 3522242.313 [1–4]
None35,8741,0272.864 [1–9]
HepatobiliaryLung3,23847214.582 [0–6]
Liver4,5983998.683 [1–9]
Brain1254536.004 [1–10]
2 of 31,31429822.682 [1–5]
All 3361747.222 [0–7]
None61,7511,6922.743 [1–8]
PancreaticLung2,84630410.686 [2–19]
Liver23,7541,1404.805 [1–14]
Brain711622.542 (1–7)
2 of 35,01176215.211 [0–4]
All 3924043.482 [0–3]
None42,8865731.343 [1–9]
ColorectalLung3,4252617.626 [2–18]
Liver26,8491,1024.105 [1–14]
Brain190189.472 [1–7]
2 of 38,47298311.605 [1–14]
All 32056833.172 [1–10]
None210,1326530.316 [2–18]
AnalLung129118.536 [5–8]
Liver317268.209 [4–27]
Brain9111.11NA
2 of 31161512.934 [1–9]
All 3300.00NA
None11,576680.5920 [6–36]
Other digestive organsLung74812216.312 [1–7]
Liver3,7142556.873 [1–11]
Brain661522.732 [1–6]
2 of 372817924.592 [0–5]
All 3361644.441 [0–2]
None18,2222691.483 [1–11]
GenitourinaryRenalLung5,6241,60528.546 [2–15]
Liver1,23737230.073 [1–9]
Brain44913730.515 [2–15]
2 of 32,36094940.213 [1–8]
All 321911853.883 [1–7]
None91,2322,4222.6510 [3–30]
BladderLung1,4371,13178.714 [1–10]
Liver66048573.482 [1–6]
Brain18415483.702 [1–11]
2 of 335928679.672 [1–5]
All 3241979.171 [0–2]
None344,20017,6755.145 [2–12]
ProstateLung1,13319116.8620 [8–47]
Liver49714829.7810 [4–22]
Brain724689.3910 [3–24]
2 of 31,18534529.119 [3–24]
All 334716447.2614 [4–NR]
None277,1252960.1127 [11–57]
TesticularLung883444.98NR [8–NR]
Liver871213.799 [7–19]
Brain1417.14NA
2 of 32613011.4913 [4–NR]
All 356814.298 [0–NR]
None15,360480.31NR [8–NR]
Other GULung2174822.125 [2–12]
Liver1555032.262 [0–6]
Brain14535.714 [1–7]
2 of 31104440.001 [0–6]
All 3400.00NA
None7,9671401.767 [2–11]
GynecologicOvarianLung1,515603.964 [1–19]
Liver1,928723.732 [0–11]
Brain561017.86NR [NR–10]
2 of 36508813.544 [1–9]
All 317847.062 [NR–6]
None33,3021840.557 [1–34]
EndometrialLung1,89822511.857 [2–18]
Liver6386610.346 [2–15]
Brain871517.242 [2–6]
2 of 359315626.313 [1–9]
All 3361850.003 [1–10]
None89,8973370.378 [2–19]
CervicalLung70211616.526 [3–13]
Liver2506325.206 [2–11]
Brain351542.863 [1–6]
2 of 325910339.774 [1–9]
All 38562.503 [1–10]
None21,5142561.1910 [4–20]
Other gynecologicLung4574710.284 [1–10]
Liver187179.096 [3–14]
Brain9111.112 [2–2]
2 of 31371712.412 [0–5]
All 313323.081 [NR]
None14,357940.658 [3–22]
Brain and other nervous systemBrain and other nervous systemLung32412.5019 [3–NR]
Liver14428.571 [NR–8]
Brain20042.003 [NR]
2 of 39222.224 [NR–8]
All 3NANANANA
None32,872450.1416 [2–NR]

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached; NA, not applicable.

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung; NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached; NA, not applicable. For patients with head and neck cancer, the incidence of comorbidity with liver metastases and bone metastasis was 42.47%. Among patients with was cancer, the incidence of comorbidity with liver metastasis and bone metastasis is higher in NSCLC (BAC) (54.17%), ADC (53.73%), and NSCLC (NOS/others) (44.10%) than in SCC (39.59%) and SCLC (37.15%). Furthermore, we found that the incidence of comorbidity of brain metastases and bone metastasis was higher than other sites among patients with digestive system cancer and gynecologic cancer. shows the incidence proportions of patients diagnosed with bone metastases, classified according to primary cancer, age, race, and gender. Median survival estimates, and those of age, race, gender, and cancer type, are displayed in .
Table S1

Incidence proportion of patients with identified bone metastases at diagnosis by primary cancer site as stratified by age, race, and gender

SiteSub-siteAgeRaceGender
Age category in yearsNumber of patients with bone metastasesEntire cohortIncidence proportion of bone metastases among entire cohort (%)Incidence proportion of bone metastases among subset with metastatic disease (%)RaceNumber of patients with bone metastasesEntire cohortIncidence proportion of bone metastases among entire cohort (%)Incidence proportion of bone metastases among subset with metastatic disease (%)GenderNumber of patients with brain metastases (total number of patients in subcategory)Number of entire cohortNumber of metastatic diseaseIncidence proportion of brain metastases among entire cohortIncidence proportion of brain metastases among subset with metastatic disease
Head and neckHead and neck118–40573,3991.6818.69White81959,0431.399.55Male78054,3147,8621.449.92
41–6039529,9421.328.73Black1036,3001.6311.12Female33423,2963,4051.439.81
61–8052236,2161.449.53Hispanic996,0621.6312.04
>80968,0531.1910.00Asian or Pacific Islander805,0931.5710.99
American Indian/Alaska Native54801.047.81
Unknown86321.278.99
ThyroidThyroid18–403724,0020.159.16White38057,3070.6619.84Male30921,7081,4271.4221.65
41–6018639,5580.4719.79Black1036,1091.6934.92Female37066,6481,9200.5619.27
61–8037022,4341.6524.25Hispanic9214,3050.6413.61
>80862,3623.6418.03Asian or Pacific Islander1009,1791.0923.75
American Indian/Alaska Native35320.5611.11
Unknown19240.117.69
BreastBreast18–401,14024,6164.6350.11White10,908298,4033.6655.70Male2103,4143356.1562.69
41–606,294176,0553.5852.34Black2,44748,0905.0950.19Female16,051432,93329,9813.7153.54
61–807,022194,4443.6156.07Hispanic1,70748,5763.5148.72
>801,80541,2324.3851.69Asian or Pacific Islander1,06736,4762.9351.37
American Indian/Alaska Native852,3923.5547.22
Unknown472,4101.9548.45
Respiratory systemSmall cell18–402511521.7434.72White7,79332,78523.7735.42Male5,10319,71013,73625.8937.15
41–602,3209,37324.7535.73Black7143,54720.1329.86Female4,12020,05912,95020.5431.81
61–806,07025,89423.4435.34Hispanic3991,82321.8932.28
>808084,38718.4227.45Asian or Pacific Islander2711,34820.1030.08
American Indian/Alaska Native4223018.2629.37
Unknown43611.1125.00
Squamous cell carcinoma18–40324417.2619.05White5,86971,7488.1822.49Male5,35161,49022,2268.7024.08
41–601,61518,1838.8824.13Black1,10711,7619.4125.89Female2,51631,75011,6177.9221.66
61–805,10060,6338.4123.33Hispanic4405,2818.3322.94
>801,12013,9838.0121.87Asian or Pacific Islander4023,69610.8830.99
American Indian/Alaska Native415567.3721.35
Unknown81984.0411.76
Adenocarcinoma18–403451,10931.1144.92White21,226107,68719.7137.07Male16,07076,26241,17421.0739.03
41–607,99232,58124.5339.62Black3,37316,92019.9333.42Female13,77670,93239,80719.4234.61
61–8017,74890,58219.5937.44Hispanic2,1229,47722.3937.54
>803,76122,92216.4129.75Asian or Pacific Islander2,96112,23424.2039.50
American Indian/Alaska Native13362621.2535.75
Unknown4128014.6436.94
Bronchioloalveolar adenocarcinoma18–4032910.3427.27White1233,3833.6416.97Male961,7015855.6416.41
41–60386575.7825.85Black233806.0521.10Female882,7744393.1720.05
61–801112,9353.7817.62Hispanic153084.8718.07
>80328543.7513.56Asian or Pacific Islander233915.8821.50
American Indian/Alaska Native080.000.00
Unknown050.000.00
Non-small cell and other18–403010229.4138.96White3,29715,41921.3834.00Male2,68111,6547,69923.0034.82
41–601,1634,47126.0135.49Black5222,73319.1029.03Female1,7588,9685,52519.6031.82
61–802,63112,52121.0133.47Hispanic3101,97715.6836.56
>806153,52817.4330.60Asian or Pacific Islander2911,11926.0136.28
American Indian/Alaska Native1411911.7622.58
Unknown53514.2927.78
Digestive systemEsophagus18–402927910.3921.80White1,62619,9528.1521.28Male1,78820,3678,2118.7821.78
41–607036,82910.2922.55Black1972,5847.6219.13Female2875,5881,7495.1416.41
61–801,14215,0247.6020.19Hispanic1572,0097.8119.48
>802013,8235.2618.31Asian or Pacific Islander731,1816.1816.74
American Indian/Alaska Native2216513.3328.95
Unknown0640.000.00
Gastric18–401301,6967.6715.31White1,11423,1224.8213.51Male1,28326,58010,0214.8312.80
41–6067411,6155.8014.09Black1985,9313.349.56Female66416,9905,5043.9112.06
61–8093622,1684.2212.25Hispanic3748,0994.6211.84
>802078,0912.569.19Asian or Pacific Islander2395,8894.0612.71
American Indian/Alaska Native203715.3913.42
Unknown21581.279.09
Hepatobiliary18–40441,0854.0612.68White1,81638,9914.6619.67Male2,36547,2819,8595.0023.99
41–601,10422,9424.8121.48Black4418,9314.9420.89Female82124,7346,5953.3212.45
61–801,73538,6584.4919.53Hispanic54413,5524.0118.39
>803039,3303.2514.54Asian or Pacific Islander3459,5853.6017.48
American Indian/Alaska Native377734.7923.13
Unknown31831.6415.00
Pancreatic18–40411,1193.668.69White1,94751,6733.777.18Male1,69538,32120,9734.428.08
41–6072716,8564.317.77Black3279,0283.626.41Female1,17636,33918,5623.246.34
61–801,69141,9764.037.49Hispanic3017,9573.787.00
>8037614,7092.565.27Asian or Pacific Islander2385,4544.368.66
American Indian/Alaska Native194064.688.60
Unknown31422.115.26
Colorectal18–401319,1751.435.76White1,969166,7441.185.76Male1,878130,27327,7751.446.76
41–601,02376,6431.335.77Black46830,3291.546.18Female1,207119,00024,5361.014.92
61–801,459117,5931.246.15Hispanic37128,2761.316.13
>8047245,8621.035.49Asian or Pacific Islander24420,4191.196.08
American Indian/Alaska Native271,8501.466.35
Unknown61,6540.368.00
Anal18–4023710.543.92White849,2680.917.25Male534,4815241.1810.11
41–60525,3280.987.69Black171,3441.269.24Female687,6691,0600.896.42
61–80565,1841.088.05Hispanic101,0970.916.25
>80111,2670.876.83Asian or Pacific Islander93112.8914.06
American Indian/Alaska Native1651.547.14
Unknown0650.000.00
Other GI18–40218752.407.75White59515,9353.7310.54Male34410,7933,5423.199.71
41–602377,0513.369.84Black1033,3243.109.82Female51212,7204,6874.0310.92
61–8045712,2853.7210.36Hispanic952,6243.6210.16
>801413,3024.2712.40Asian or Pacific Islander501,3793.639.51
American Indian/Alaska Native101427.0416.95
Unknown31092.7520.00
GenitourinaryRenal18–401284,9162.6037.21White3,92168,1845.7539.25Male3,82064,3509,6835.9439.45
41–601,74035,2784.9338.70Black55712,1124.6038.23Female1,78336,7714,8154.8537.03
61–802,97651,0155.8339.42Hispanic75514,2065.3136.90
>807599,9127.6636.01Asian or Pacific Islander3155,2346.0237.54
American Indian/Alaska Native518855.7634.93
Unknown45000.8019.05
Bladder18–40151,2961.1626.79White1,423102,0141.3931.54Male1,39094,8094,1671.4733.36
41–6038520,2641.9033.92Black1717,2552.3628.31Female45029,4701,7541.5325.66
61–801,02971,2021.4531.08Hispanic1437,8461.8227.88
>8041131,5171.3028.96Asian or Pacific Islander885,1961.6935.48
American Indian/Alaska Native144153.3735.90
Unknown11,5530.0620.00
Prostate18–40143274.2873.68White12,788234,5225.4588.66Male19,750346,84422,2575.6988.74
41–603,32193,0623.5787.44Black3,39653,6426.3388.92Female00000
61–8011,230229,6004.8988.33Hispanic2,21332,4406.8288.56
>805,18523,85521.7490.54Asian or Pacific Islander1,11916,1426.9389.88
American Indian/Alaska Native1351,31610.2688.82
Unknown998,7821.1383.90
Testicular18–408711,8930.736.14White8911,0010.817.60Male14316,6611,9930.867.18
41–60424,1191.028.79Black105061.9812.99Female00000
61–80145942.3615.56Hispanic381,9591.945.99
>800550.000.00Asian or Pacific Islander47120.565.13
American Indian/Alaska Native11800.563.45
Unknown13030.3325.00
Other GU18–4061583.8060.00White2076,1303.3837.57Male1996,6105073.0139.25
41–60401,5742.5431.01Black257033.5641.67Female881,8572504.7435.20
61–801534,6253.3137.59Hispanic279772.7631.03
>80882,1104.1741.71Asian or Pacific Islander265494.7446.43
American Indian/Alaska Native2414.8866.67
Unknown0670.000.00
GynecologicOvarian18–40252,8720.872.44White27825,5671.091.67Male00000
41–6012114,2660.851.51Black613,2701.872.73Female42237468238901.131.77
61–8020216,0291.261.73Hispanic495,0730.971.64
>80744,3011.722.30Asian or Pacific Islander333,2091.031.84
American Indian/Alaska Native12200.450.70
Unknown01290.000.00
Endometrial18–40173,9350.436.34White32712,0152.7216.93Male00000
41–6032036,8260.8711.29Black933,0843.0215.25Female8479314983040.9110.20
61–8043646,0370.959.80Hispanic885,1641.7012.48
>80746,3511.179.81Asian or Pacific Islander472,1242.2115.67
American Indian/Alaska Native32081.448.57
Unknown01790.000.00
Cervical18–40756,3511.1815.66White120120100.0033.06Male00000
41–6016310,5231.559.61Black221,3471.6347.83Female55822,7743,5852.4515.56
61–801904,9933.8115.93Hispanic221,5221.4537.29
>80309073.3113.95Asian or Pacific Islander137511.7359.09
American Indian/Alaska Native11040.9616.67
Unknown11120.89100.00
Other GYN18–4077360.9536.84White4124,8340.1710.35Male00000
41–60494,4911.0933.11Black42,0540.198.70Female179151604971.1836.02
61–80977,0851.3746.86Hispanic124,1090.2911.88
>80262,8480.9121.14Asian or Pacific Islander21,8580.114.26
American Indian/Alaska Native01440.000.00
Unknown01280.000.00
Brain and other nervous systemBrain and other nervous system18–40105,5050.1810.10White38057,3070.6619.84Male2918,7343510.158.26
41–602011,0960.189.76Black1036,1091.6934.92Female3014,3932450.2112.24
61–802313,5690.179.87Hispanic9214,3050.6413.61
>8062,9570.2010.17Asian or Pacific Islander1009,1791.0923.75
American Indian/Alaska Native35320.5611.11
Unknown19240.117.69

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, Gastrointestinal; GU, Genitourinary; GYN, Gynecologic; NOS, not otherwise specified.

Table S2

Median survival of patients with bone metastases by age, race, and gender

SiteSub-siteAgeRaceGender
Age category in yearsNumber of patients with bone metastasesMedian survival in months (interquartile range)RaceNumber of patients with bone metastasesMedian survival in months (interquartile range)GenderNumber of patients with bone metastasesMedian survival in months (interquartile range)
Head and neckHead and neck118–405715 [8–32]White8198 [3–16]Male7808 [3–18]
41–603959 [3–21]Black1038 [3–18]Female3348 [3–15]
61–805227 [3–16]Hispanic998 [3–20]
>80964 [1–10]Asian or Pacific Islander8015 [8–35]
American Indian/Alaska Native510 [5–15]
Unknown811 [3–16]
ThyroidThyroid18–403752 [9–NR]White38021 [4–82]Male22 [4–82]
41–6018666 [7–NR]Black10327 [3–60]Female23 [3–NR]
61–8037022 [4–NR]Hispanic9221 [3–64]
>80866 [2–23]Asian or Pacific Islander10049 [9–NR]
American Indian/Alaska Native32 [NR]
Unknown15 [NR]
BreastBreast18–401,14042 [20–72]White10,90828 [8–59]Male23 [8–54]
41–606,29432 [13–66]Black2,44720 [6–43]Female27 [8–57]
61–807,02225 [6–53]Hispanic1,70732 [12–63]
>801,80512 [2–32]Asian or Pacific Islander1,06731 [12–62]
American Indian/Alaska Native8534 [12–NR]
Unknown47NR [22–NR]
LungSmall cell18–40258 [4–10]White7,7935 [1–10]Male51035 [1–10]
41–602,3207 [2–11]Black7148.0 [2.0–16.0]Female4,1206 [1–10]
61–806,0705 [1–10]Hispanic3994 [1–10]
>808082 [0–6]Asian or Pacific Islander2716 [2–10]
American Indian/Alaska Native423 [1–9]
Unknown418 [5–18]
Squamous cell carcinoma18–40328 [2.0–15.0]White5,8693.0 [1.0–7.0]Male5,3513.0 [1.0–7.0]
41–601,6154.0 [2.0–9.0]Black1,1073.0 [1.0–8.0]Female2,5163.0 [1.0–7.0]
61–805,1003.0 [1.0–7.0]Hispanic4403.0 [1.0–9.0]
>801,1202.0 [1.0–5.0]Asian or Pacific Islander4024.0 [1.0–9.0]
American Indian/Alaska Native414.0 [1.0–11.0]
Unknown82.0 [1.0–9.0]
Adenocarcinoma18–40314 [5–29]White21,2264 [1–12]Male16,0704 [1–11]
41–60386 [2–16]Black3,3734 [1–11]Female13,7765 [2–15]
61–801114 [1–12]Hispanic2,1226 [2–15]
>80323 [1–8]Asian or Pacific Islander2,96111 [3–25]
American Indian/Alaska Native1335 [1–10]
Unknown4113 [2–32]
Bronchioloalveolar adenocarcinoma18–40-22 [4–38]White926 [2–16]Male967 [2–19]
41–605010 [5–21]Black205 [1–16]Female889 [3–2]
61–80847 [2–21]Hispanic1111 [4–21]
>80136 [2–12]Asian or Pacific Islander2322 [9–39]
American Indian/Alaska Native1NA
Unknown0NA
Non-small cell and other18–40307 [5–15]White3,2973 [1–7]Male2,6813 [1–7]
41–601,1634 [1–9]Black5223 [1–7]Female1,7283 [1–9]
61–802,6313 [1–8]Hispanic3103 [1–10]
>806152 [1–5]Asian or Pacific Islander2914 [1–15]
American Indian/Alaska Native142 [1–5]
Unknown52 [1–5]
GIEsophagus18–40299 [2–31]White19811 [4–37]Male28711 [4–35]
41–6070313 [4–38]Black1412 [5–33]Female1,78811 [3–44]
61–801,14211 [4–38]Hispanic1613 [4–43]
>8020111 [4–32]Asian or Pacific Islander913 [4–43]
American Indian/Alaska Native18 [4–19]
Unknown0NA
Gastric18–401305 [1–10]White1,1144 [1–9]Male1,2833 [1–8]
41–606744 [1–9]Black1983 [1–7]Female6643 [1–8]
61–809363 [1–9]Hispanic3743 [1–8]
>802072 [0–5]Asian or Pacific Islander2393 [1–8]
American Indian/Alaska Native205 [1–6]
Unknown2NA
Hepatobiliary18–40447 [3–13]White1,8163 [1–8]Male2,3653 [1–7]
41–601,1043 [1–7]Black4413 [1–7]Female8213 [1–8]
61–801,7353 [1–7]Hispanic5443 [1–8]
>803032 [0–5]Asian or Pacific Islander3453 [1–7]
American Indian/Alaska Native373 [1–9]
Unknown35 [1–5]
Pancreatic18–40418 [2–20]White51,6732 [1–6]Male1,6952 [1–6]
41–607273 [1–8]Black9,0282 [1–6]Female1,1762 [1–6]
61–801,6912 [1–6]Hispanic7,9572 [1–8]
>803761 [0–3]Asian or Pacific Islander5,4542 [1–6]
American Indian/Alaska Native4061 [0–5]
Unknown1420 [0–1]
Colorectal18–4013110 [3–23]White166,7445 [1–14]Male1,8785 [1–15]
41–601,0239 [3–20]Black30,3294 [2–15]Female1,2075 [1–14]
61–801,4594 [1–13]Hispanic28,2765 [2–18]
>804722 [0–5]Asian or Pacific Islander20,4197 [2–19]
American Indian/Alaska Native1,8506 [4–9]
Unknown1,65414 [2–14]
Anal18–402NAWhite9,26810 [5–27]Male538 [4–22]
41–605214 [5–46]Black1,3446 [5–22]Female6814 [4–27]
61–80569 [4–24]Hispanic1,0974 [2–NR]
>80113 [1–8]Asian or Pacific Islander3115 [1–6]
American Indian/Alaska Native65NA
Unknown65NA
Other GI18–40214 [1–11]White15,9353 [1–8]Male3443 [1–10]
41–602372 [1–8]Black3,3242 [0–10]Female5122 [1–7]
61–804573 [1–9]Hispanic2,6242 [0–6]
>801412 [0–5]Asian or Pacific Islander1,3792 [1–10]
American Indian/Alaska Native1424 [1–6]
Unknown1092 [2–NR]
GURenal18–4012810 [4–24]White68,1846 [2–17]Male3,8206 [2–18]
41–601,7408 [3–26]Black12,1125 [2–14]Female1,7835 [2–15]
61–802,9766 [2–17]Hispanic14,2067 [2–19]
>807593 [1–7]Asian or Pacific Islander5,2346 [2–20]
American Indian/Alaska Native8856 [2–12]
Unknown5005 [5–50]
Bladder18–40158 [4–10]White102,0144 [1–10]Male1,3904 [1–10]
41–603855 [2–11]Black7,2554 [2–8]Female4503 [1–8]
61–801,0294 [1–11]Hispanic7,8464 [1–4]
>804112 [1–6]Asian or Pacific Islander5,1965 [1–10]
American Indian/Alaska Native4151 [1–5]
Unknown1,5535 (NR)
Prostate18–401422 [13–38]White234,52225 [10–53]Male19,75025 [11–55]
41–603,32134 [17–72]Black53,64225 [11–55]Female0NA
61–8011,23029 [12–65]Hispanic32,44024 [11–61]
>805,18515 [5–33]Asian or Pacific Islander16,14234 [13–NR]
American Indian/Alaska Native1,31626 [10–55]
Unknown8,782NR
Testicular18–4087NR [8–NR]White11,00121.0 [4.5–NR]Male143NR [7–NR]
41–604232 [4–NR]Black506NAFemale0NA
61–80148 [3–NR]Hispanic1,959NR [NR–NR]
>80-NAAsian or Pacific Islander712NR [14.0–NR]
American Indian/Alaska Native18014.0 [NR]
Unknown303NR
Other GU18–4065 [5–18]White6,1304 [1–9]Male1994 [1–9]
41–60407 [2–14]Black7035 [3–9]Female884 [1–10]
61–801535 [1–9]Hispanic9774 [1–9]
>80882 [1–7]Asian or Pacific Islander5495 [2–14]
American Indian/Alaska Native417 [7–9]
Unknown674 [1–9]
GYNOvarian18–40255 [2–9]White25,5674 [1–15]Male0NA
41–601217 [2–19]Black3,2707 [2–36]Female4225 [1–17]
61–802025 [1–23]Hispanic5,0734 [1–10]
>80742 [0–7]Asian or Pacific Islander3,2097 [1–14]
American Indian/Alaska Native2202 [NR–NR]
Unknown129NA
Endometrial18–40175 [5–10]White12,0156 [2–17]Male0NA
41–603208 [2–20]Black3,0844 [1–12]Female8476 [2–15]
61–804366 [1–15]Hispanic5,1646 [1–15]
>80743 [1–10]Asian or Pacific Islander2,1249 [3–28]
American Indian/Alaska Native20810 [9–20]
Unknown179NA
Cervical18–40758 [3–15]White1206 [2–16]Male0NA
41–601637 [3–18]Black1,3475 [3–12]Female5586 [2–15]
61–801905 [2–13]Hispanic1,5226 [2–14]
>80303 [1–7]Asian or Pacific Islander75112 [4–23]
American Indian/Alaska Native1041 [NR–13]
Unknown112NR [NR–NR]
Other GYN18–4078 [3–NR]White24,8345 [2–17]Male0NA
41–60499 [3–29]Black2,0543 [2–16]Female1796 [2–16]
61–80974 [2–12]Hispanic4,1094 [2–16]
>80263 [1–16]Asian or Pacific Islander1,8589 [6–14]
American Indian/Alaska Native1441 [1–1]
Unknown1281 [1–1]
Brain and other nervous systemBrain and other nervous system18–4010NR [15–NR]White57,30710 [3–NR]Male2915 [3–NR]
41–6020NR [3–NR]Black6,10919 [1–NR]Female3019 [2–NR]
61–80238 [2–NR]Hispanic14,305NR [2–NR]
>806NR [NR–2]Asian or Pacific Islander9,1791 [NR]
American Indian/Alaska Native532NA
Unknown924NA

1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung cancer; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung, NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached; NA, not applicable.

Discussion

In our study, we showed the number and incidence proportion of patients with bone metastases and the prognosis of identified bone metastases among patients with cancer of the digestive system with the lowest median survival time. To our knowledge, this is the first epidemiologic study of bone metastases using the entire SEER database. Roodman et al. pointed out that the exact prevalence of bone metastasis remains unknown, and patients with bone metastases are usually incurable (21). Therefore, it is probable that our study may have widespread applications and could be useful in the formation of screening paradigms for bone metastases, clinical treatment and trial design, and counseling of different subsets of patients with cancer.

Incidence of bone metastasis

In 1997, Coleman et al. reported that the incidence of bone metastasis was 30–40% for patients with lung cancer, which is higher than our results (22). In 2013, Sathiakumar et al. reported that the incidence of bone metastasis among lung cancer patients was 19.8%, based on data from 1999 to 2006 (23). Al Husaini et al. pointed out that the incidence of skeletal metastasis in advanced-stage lung cancer was 30–40% (24). In our study, we found that the incidence of bone metastases was 16.89% in patients with newly diagnosed lung cancer and 33.10% in patients with metastatic lung cancer. A comparison of our findings with those of other studies confirms that the rate of bone metastasis among lung cancer is gradually decreasing, which has contributed to the popularization of screening and the development of effective treatment strategies. Additionally, we found the incidence of bone metastases among patients with SCLC to be higher than that of patients with non-small cell lung cancer (NSCLC). Yerushalmi et al. found that the incidence of bone metastases among patients with breast cancer had decreased steadily over 3 time periods (25) (1989–1991: 7.5%, 1992–1997: 5.3%, 1998–2001: 3.5%). Jensen et al. noted that the incidence rate of bone metastases among patients with breast cancer was 3.6% in a population of 35,912 patients (19). In this study, the incidence was slightly lower than that reported by earlier studies. Pietropaoli et al. indicated that only approximately 1% of patients with stage IV carcinoma of the head and neck had concomitant bone metastases (26), which is similar to our results. Previous studies have reported that the incidence rate of bone metastases in patients with hepatocellular carcinoma ranges from 3% to 20% (27,28). These findings are consistent with our results. However, the studies just mentioned above only discussed the incidence rate of bone metastases in single cancers. There is no study which systematically analyzes the incidence of bone metastases in different cancers types. Our study shows that lung cancer is most likely to present with bone metastasis, which may support recent screening guidelines. Previous studies have shown that the incidence rate of bone metastases in metastatic prostate cancer is over 80%, while bone metastases occur in 65–80% of patients with metastatic breast cancer (29-34). Our study also indicates that the incidence proportion of bone metastases is high in patients with breast or prostate cancer. Previous studies have shown that bone metastases occur in approximately 30% of patients with invasive bladder cancer and renal cancer (35-38). In our study, the incidence rate of bone metastases was 16.08% and 1.48% in renal cancer and bladder cancer, respectively. Furthermore, bone metastases accounted for 38.65% and 31.08% of metastatic renal and bladder cancers, respectively. Though the rate of bone metastases is not high in bladder cancer, bone cancer accounts for a relatively large portion of the metastatic sites among patients with metastatic bladder cancer. Therefore, we must pay attention to the screening of bone metastases in this setting.

Survival

Our results show that cancer presented at diagnosis with bone metastases with the longest median survival time is breast cancer (27 months), followed by prostate cancer (25 months), and thyroid cancer (23 months). Previous studies had shown that the median survival time is 30 and 28 months among breast cancer patients with bone metastases and prostate cancer patients with bone metastases (39,40). These results are similar to ours. Bhatia reported that the prognosis of hepatocellular carcinoma with bone metastasis is extremely poor, with a median survival of only 1–2 months (41). We also found that the median survival time is the shortest in cancers of the digestive system. Silvestris et al. indicated that the median survival was 6 months in gastric cancer patients after bone metastasis diagnosis (42). Our results showed the median survival is 3 months among gastric cancer patients with bone metastases, which was a little shorter than the earlier study.

Clinical implications

Bone metastases are associated with an increased risk of mortality for patients with cancer and may lead to a poor quality of life (17,43,44). The early detection of bone metastases may minimize morbidity and mortality and lead to a better quality of life (45-47), while also being a fundamental step in anticancer treatment (48-50). The National Comprehensive Cancer Network (NCCN) clinical practice guidelines in oncology also recommended routine screening bone metastases in patients with SCLC, prostatic cancer, and high-metastasis-risk renal cancer (51-54). Our results support the current guidelines as these cancers are all at high risk of the development of bone metastases, although the routine use of bone screening is not recommended in NSCLC. Our data showed that the incidence of bone metastases at diagnosis in NSLCLC is relatively high. Therefore, in patients with a diagnosis of stage IV NSCLC, special focus should be dedicated to the screening of the bones. Furthermore, screening of bone metastases is not routinely performed for patients with esophagus cancer (55). However, our data revealed a 7.99% and 20.74% incidence proportion of bone metastases in patients with esophagus cancer and metastatic esophagus cancer, respectively. Therefore, routine screening of bone metastases is necessary for patients with these cancers. As screening was not routinely performed in these patients, bone metastases are always discovered only as a result of SREs, which may be a more advanced disease that shortens survival (56) and often requires surgical intervention or a more complex treatment plan. However, surgery for pathological fracture and loss of motor function and mobility might also increase mortality (5). Our data show a relatively high rate of bone metastasis in these populations—one which may be underestimated. Therefore, our findings may support the need to routinely screen for bone metastases at diagnosis for these patients. As for patients with head and neck cancers, the incidence of comorbidity for liver metastasis and bone metastases is high. Patients with breast and bladder cancer have a high incidence of comorbidity with bone metastasis and brain, liver, or lung metastasis. Therefore, a diagnosis of bone metastases may be a strong signal that other sites of metastases may exist in patients. For lung cancer, we should pay attention to the comorbidity of bone metastases and liver metastases, while for digestive system cancer and gynecologic cancer, we may be more concerned about the comorbidity of bone metastases and brain metastases. Previous studies have shown that patients with bone-only metastases have a better prognosis (57-59). For instance, previous investigators pointed out that the median survival time of patients with breast cancer and bone-only metastasis was about 20–50 months, which is much longer than multiple sites metastasis (60-63). This result is consistent with our findings. The incidence of bone-only metastasis is high in NSCLC (NOS/others), SCLC, ADC, bladder cancer, and esophageal cancer. So, for patients with these cancers, we must find a specific metastasis status. Because the treatment of bone-only metastasis is different from other sites or multiple sites metastasis (60), identifying bone-only metastasis may help clarify the clinical course, improve the prognosis for patients with bone-only metastasis, and estimate median survival time more accurately (64,65). Our data also have value for the design of clinical trials. The data in our study may help investigators quantify the specific number of patients needed to be excluded from the trial enrollment, with bone metastasis as an exclusion criterion. Moreover, for studies or trials which are related to bone metastases, our study can provide generalizable estimates of incidence and prognosis for use in calculations and some trial design.

Limitations

The present study has some potential limitations. Firstly, we only identified bone metastases at initial cancer diagnosis, and, because SEER cannot provide information relating to disease recurrence, we could not screen patients with bone metastases after initial diagnosis. Secondly, we do not have information relating to the number size and exact location of the bone metastases. Thirdly, screening was not conducted across all malignancies, and therefore some data of metastases might have been missed. Finally, treatment information for the metastatic sites was not provided, so we could not study the treatment received by each patient. Although this study has several limitations, it provides new information regarding the epidemiology of bone metastasis. Incidence of bone metastasis and the specific proportion of patients with bone metastases among different cancer types could help in the development of the formation of screening paradigms for bone metastases, clinical treatment and trial design, and counseling of different subsets of patients with cancer.

Conclusions

The results of this study provide population-based estimates of the incidence of bone metastasis and the specific incidence proportion of patients with bone metastasis diagnosis of solid tumors. We have shown that prostate cancer and breast cancer are most likely to occur with bone metastases. Additionally, the rate of bone metastasis was more than 20% in patients with lung, renal, bladder, thyroid, and esophageal cancers. We also found that the median survival time was more than 20 months in bone metastatic breast cancer, prostate cancer, and thyroid cancer. Conversely, the median survival time was the shortest in gastrointestinal, lung, and gynecologic cancer with bone metastases. These data may help clinicians in their justification of using of bone screening, which may also have an important role in clinical trial design and better prognosis. The findings can support the decision of screening of the bone and extracranial metastases for patients with high-risk primary malignancy. 1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, Gastrointestinal; GU, Genitourinary; GYN, Gynecologic; NOS, not otherwise specified. 1, lip, tongue, gum, floor of mouth, & other mouth, salivary gland, oropharynx, nasopharynx, hypopharynx, pharynx, nasal cavity (including nasal cartilage), accessory, sinuses, middle & inner ear, larynx, trachea, orbit & lacrimal gland, retina, eyeball, eye, NOS. GI, gastrointestinal; GU, genitourinary; GYN, gynecologic; SCLC, small-cell lung cancer; NSCLC (NOS/others), non-small cell lung cancer not otherwise specified or non-small cell lung cancer other lung cancer; ADC, adenocarcinoma of the lung; SCC, squamous cell carcinoma of the lung, NSCLC (BAC), bronchioloalveolar carcinoma; NR, not reached; NA, not applicable. The article’s supplementary files as
  59 in total

1.  Prognostic significance of time to prostate-specific antigen (PSA) nadir and its relationship to survival beyond time to PSA nadir for prostate cancer patients with bone metastases after primary androgen deprivation therapy.

Authors:  Jeremy Yuen Chun Teoh; James Hok Leung Tsu; Steffi Kar Kei Yuen; Samson Yun Sang Chan; Peter Ka Fung Chiu; Wai-Man Lee; Ka-Wing Wong; Kwan-Lun Ho; Simon See Ming Hou; Chi-Fai Ng; Ming-Kwong Yiu
Journal:  Ann Surg Oncol       Date:  2014-09-19       Impact factor: 5.344

2.  Early detection of bone metastases of hepatocellular carcinoma reduces bone fracture and paralysis.

Authors:  Toshihide Hirai; Yusuke Shinoda; Ryosuke Tateishi; Yoshinari Asaoka; Koji Uchino; Taijiro Wake; Hiroshi Kobayashi; Masachika Ikegami; Ryoko Sawada; Nobuhiko Haga; Kazuhiko Koike; Sakae Tanaka
Journal:  Jpn J Clin Oncol       Date:  2019-06-01       Impact factor: 3.019

3.  Health-related quality of life among patients with breast cancer receiving zoledronic acid or pamidronate disodium for metastatic bone lesions.

Authors:  Kevin P Weinfurt; Liana D Castel; Yun Li; Justin W Timbie; G Alastair Glendenning; Kevin A Schulman
Journal:  Med Care       Date:  2004-02       Impact factor: 2.983

4.  Single-Fraction Stereotactic vs Conventional Multifraction Radiotherapy for Pain Relief in Patients With Predominantly Nonspine Bone Metastases: A Randomized Phase 2 Trial.

Authors:  Quynh-Nhu Nguyen; Stephen G Chun; Edward Chow; Ritsuko Komaki; Zhongxing Liao; Rensi Zacharia; Bill K Szeto; James W Welsh; Stephen M Hahn; C David Fuller; Bryan S Moon; Justin E Bird; Robert Satcher; Patrick P Lin; Melenda Jeter; Michael S O'Reilly; Valerae O Lewis
Journal:  JAMA Oncol       Date:  2019-06-01       Impact factor: 31.777

5.  Implications of bone-only metastases in breast cancer: favorable preference with excellent outcomes of hormone receptor positive breast cancer.

Authors:  Su Jin Lee; Silvia Park; Hee Kyung Ahn; Jun Ho Yi; Eun Yoon Cho; Jong Mu Sun; Jeong Eon Lee; Seok Jin Nam; Jung-Hyun Yang; Yeon Hee Park; Jin Seok Ahn; Young-Hyuck Im
Journal:  Cancer Res Treat       Date:  2011-06-30       Impact factor: 4.679

6.  Clinical course and prognostic factors following bone recurrence from breast cancer.

Authors:  R E Coleman; P Smith; R D Rubens
Journal:  Br J Cancer       Date:  1998       Impact factor: 7.640

7.  Incidence of bone metastases in patients with solid tumors: analysis of oncology electronic medical records in the United States.

Authors:  Rohini K Hernandez; Sally W Wade; Adam Reich; Melissa Pirolli; Alexander Liede; Gary H Lyman
Journal:  BMC Cancer       Date:  2018-01-06       Impact factor: 4.430

8.  Frequency and clinicopathological features of metastasis to liver, lung, bone, and brain from gastric cancer: A SEER-based study.

Authors:  Miao-Zhen Qiu; Si-Mei Shi; Zhan-Hong Chen; Hong-En Yu; Hui Sheng; Ying Jin; De-Shen Wang; Feng-Hua Wang; Yu-Hong Li; Dan Xie; Zhi-Wei Zhou; Da-Jun Yang; Rui-Hua Xu
Journal:  Cancer Med       Date:  2018-07-09       Impact factor: 4.452

9.  Mortality following bone metastasis and skeletal-related events among patients 65 years and above with lung cancer: A population-based analysis of U.S. Medicare beneficiaries, 1999-2006.

Authors:  Nalini Sathiakumar; Elizabeth Delzell; Michael A Morrisey; Carla Falkson; Mellissa Yong; Victoria Chia; Justin Blackburn; Tarun Arora; Meredith L Kilgore
Journal:  Lung India       Date:  2013-01

10.  The hospital burden of disease associated with bone metastases and skeletal-related events in patients with breast cancer, lung cancer, or prostate cancer in Spain.

Authors:  R D Pockett; D Castellano; P McEwan; A Oglesby; B L Barber; K Chung
Journal:  Eur J Cancer Care (Engl)       Date:  2010-11       Impact factor: 2.520

View more
  25 in total

Review 1.  Osteocytes and Cancer.

Authors:  Fabrizio Pin; Matt Prideaux; Lynda F Bonewald; Andrea Bonetto
Journal:  Curr Osteoporos Rep       Date:  2021-11-13       Impact factor: 5.096

2.  Effect Evaluation of Comfort Nursing Materials Assisted Nursing for Patients with Advanced Malignant Tumor.

Authors:  Mei Zhong; Lanying He; Min Chen; Zhongxiang Lu; Ruyu Li; Ling Li
Journal:  Scanning       Date:  2022-06-17       Impact factor: 1.750

3.  Sex, racial/ethnic and socioeconomic disparities in patients with metastatic bone disease.

Authors:  Muhammad Umar Jawad; Brad H Pollock; Barton L Wise; Lauren N Zeitlinger; Edmond F O' Donnell; Janai R Carr-Ascher; Amy Cizik; Betty Ferrell; Steven W Thorpe; R Lor Randall
Journal:  J Surg Oncol       Date:  2021-12-10       Impact factor: 2.885

4.  Clinical and dosimetric risk factors for vertebral compression fracture after single-fraction stereotactic body radiation therapy for spine metastases.

Authors:  Haeyoung Kim; Hongryull Pyo; Hee Chul Park; Do Hoon Lim; Jeong Il Yu; Won Park; Yong Chan Ahn; Doo Ho Choi; Dongryul Oh; Jae Myoung Noh; Won Kyung Cho; Gyu Sang Yoo; Sang Hoon Jung; Eun-Sang Kim; Sun-Ho Lee; Se-Jun Park; Chong-Suh Lee
Journal:  J Bone Oncol       Date:  2021-05-01       Impact factor: 4.072

5.  Percutaneous CT-Guided Microwave Ablation Combined with Vertebral Augmentation for Treatment of Painful Spinal Metastases.

Authors:  L Chen; G Hou; K Zhang; Z Li; S Yang; Y Qiu; Q Yuan; D Hou; X Ye
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-03       Impact factor: 3.825

6.  Assessment of Bone Health Education in US Multiple Myeloma and Solid Tumor Patients at Risk for Skeletal-Related Events.

Authors:  Darcy R Flora; Katherine B Carlson; David C Fuehrer; Benoit Cadieux; Guy Boike; Jennifer Schenfeld; Kimberly A Lowe
Journal:  Cancer Manag Res       Date:  2021-04-23       Impact factor: 3.989

7.  Clinicopathologic characteristics, metastasis-free survival, and skeletal-related events in 628 patients with skeletal metastases in a tertiary orthopedic and trauma center.

Authors:  Georg Herget; Babak Saravi; Eugenia Schwarzkopf; Mara Wigand; Norbert Südkamp; Hagen Schmal; Markus Uhl; Gernot Lang
Journal:  World J Surg Oncol       Date:  2021-02-25       Impact factor: 2.754

8.  Serum total periostin is an independent marker of overall survival in bone metastases of lung adenocarcinoma.

Authors:  E Massy; J C Rousseau; M Gueye; E Bonnelye; M Brevet; L Chambard; M Duruisseaux; O Borel; C Roger; R Guelminger; J B Pialat; E Gineyts; L Bouazza; M Millet; J M Maury; P Clézardin; N Girard; Cyrille B Confavreux
Journal:  J Bone Oncol       Date:  2021-06-05       Impact factor: 4.072

Review 9.  Molecular Mechanisms Leading from Periodontal Disease to Cancer.

Authors:  Bartosz Kamil Sobocki; Charbel A Basset; Bożena Bruhn-Olszewska; Paweł Olszewski; Olga Szot; Karolina Kaźmierczak-Siedlecka; Mateusz Guziak; Luigi Nibali; Angelo Leone
Journal:  Int J Mol Sci       Date:  2022-01-16       Impact factor: 5.923

10.  Detection of Bone Metastases on Bone Scans through Image Classification with Contrastive Learning.

Authors:  Te-Chun Hsieh; Chiung-Wei Liao; Yung-Chi Lai; Kin-Man Law; Pak-Ki Chan; Chia-Hung Kao
Journal:  J Pers Med       Date:  2021-11-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.