Skip to main content

Advertisement

Log in

Predictive factors, preventive implications, and personalized surgical strategies for bone metastasis from lung cancer: population-based approach with a comprehensive cancer center-based study

  • Research
  • Published:
EPMA Journal Aims and scope Submit manuscript

Abstract

Background

Bone metastasis (BM) and skeletal-related events (SREs) happen to advanced lung cancer (LC) patients without warning. LC-BM patients are often passive to BM diagnosis and surgical treatment. It is necessary to guide the diagnosis and treatment paradigm for LC-BM patients from reactive medicine toward predictive, preventive, and personalized medicine (PPPM) step by step.

Methods

Two independent study cohorts including LC-BM patients were analyzed, including the Surveillance, Epidemiology, and End Results (SEER) cohort (n = 203942) and the prospective Fudan University Shanghai Cancer Center (FUSCC) cohort (n = 59). The epidemiological trends of BM in LC patients were depicted. Risk factors for BM were identified using a multivariable logistic regression model. An individualized nomogram was developed for BM risk stratification. Personalized surgical strategies and perioperative care were described for FUSCC cohort.

Results

The BM incidence rate in LC patients grew (from 17.53% in 2010 to 19.05% in 2016). Liver metastasis was a significant risk factor for BM (OR = 4.53, 95% CI = 4.38–4.69) and poor prognosis (HR = 1.29, 95% CI = 1.25–1.32). The individualized nomogram exhibited good predictive performance for BM risk stratification (AUC = 0.784, 95%CI = 0.781–0.786). Younger patients, males, patients with high invasive LC, and patients with other distant site metastases should be prioritized for BM prevention. Spine is the most common site of BM, causing back pain (91.5%), pathological vertebral fracture (27.1%), and difficult walking (25.4%). Spinal surgery with personalized spinal reconstruction significantly relieved pain and improved daily activities. Perioperative inflammation, immune, and nutrition abnormities warrant personalized managements. Radiotherapy needs to be recommended for specific postoperative individuals.

Conclusions

The presence of liver metastasis is a strong predictor of LC-BM. It is recommended to take proactive measures to prevent BM and its SREs, particularly in young patients, males, high invasive LC, and LC with liver metastasis. BM surgery and perioperative management are personalized and required. In addition, adjuvant radiation following separation surgery must also be included in PPPM-guided management.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

Data for the SEER cohort were extracted from the Surveillance, Epidemiology, and End Results Program (https://seer.cancer.gov/). Data for the FUSCC cohort were available from the corresponding authors upon appropriate request.

Code availability

Not applicable

Abbreviations

BM:

Bone metastasis

LC:

Lung cancer

SREs:

Skeletal-related events

SEER:

Surveillance, Epidemiology, and End Results

FUSCC:

Fudan University Shanghai Cancer Center

MDT:

Multidisciplinary team

PVP:

Percutaneous vertebroplasty

TES:

Total en bloc spondylectomy

NOS:

Not otherwise specified

NSCLC:

Non-small cell lung cancer

OS:

Overall survival

BMI:

Body mass index

NRS:

Numerical rating scale

CT:

Computed tomography

MRI:

Magnetic resonance imaging

ECT:

Radionuclide bone scanning

PET-CT:

Positron emission tomography-computed tomography

SUVmax:

Maximum standard uptake value

ALP:

Alkaline phosphatase

LDH:

Lactate dehydrogenase

ALT:

Alanine transaminase

AST:

Aspartate aminotransferase

TBIL:

Total bilirubin

ASA:

American Society of Anesthesiologists

FDG:

Fluorodeoxyglucose

HE staining:

Hematoxylin–eosin staining

IHC:

Immunohistochemistry

OR:

Odds ratio

HR:

Hazards ratio

CI:

Confidence interval

ROC:

Receiver operator characteristic curve

AUC:

Area under the curve

References

  1. Fornetti J, Welm AL, Stewart SA. Understanding the bone in cancer metastasis. J Bone Miner Res. 2018;33(12):2099–113.

    Article  CAS  PubMed  Google Scholar 

  2. Choi SH, Koo JW, Choe D, et al. The incidence and management trends of metastatic spinal tumors in South Korea: a nationwide population-based study. Spine. 2020;45(14):E856–63.

    Article  PubMed  Google Scholar 

  3. Adogwa O, Rubio DR, Buchowski JM, et al. Spine-specific skeletal related events and mortality in non-small cell lung cancer patients: a single-institution analysis. J Neurosurg Spine. 2020;27:1–8.

    Google Scholar 

  4. Shih JT, Yeh TT, Wang SH, et al. Incidence of bone metastases in patients with organ-specific cancers: a nationwide population-based cohort study. Int J Clin Pract. 2021;5:e13997.

    Google Scholar 

  5. Ryan C, Stoltzfus KC, Horn S, et al. Epidemiology of bone metastases. Bone. 2020;1:115783.

  6. Grech G, Zhan X, Yoo BC, et al. EPMA position paper in cancer: current overview and future perspectives. EPMA J. 2015;6(1):9.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Barzilai O, Fisher CG, Bilsky MH. State of the art treatment of spinal metastatic disease. Neurosurgery. 2018;82(6):757–69.

    Article  PubMed  Google Scholar 

  8. Saito H, Fukuhara T, Furuya N, et al. Erlotinib plus bevacizumab versus erlotinib alone in patients with EGFR-positive advanced non-squamous non-small-cell lung cancer (NEJ026): interim analysis of an open-label, randomised, multicentre, phase 3 trial. Lancet Oncol. 2019;20(5):625–35.

    Article  CAS  PubMed  Google Scholar 

  9. Patil V, Noronha V, Joshi A, et al. Phase III non-inferiority study evaluating efficacy and safety of low dose gemcitabine compared to standard dose gemcitabine with platinum in advanced squamous lung cancer. EClinicalMedicine. 2019;9:19–25.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Choi D, Fox Z, Albert T, et al. Rapid improvements in pain and quality of life are sustained after surgery for spinal metastases in a large prospective cohort. Br J Neurosurg. 2016;30(3):337–44.

    Article  PubMed  Google Scholar 

  11. Spencer KL, van der Velden JM, Wong E, et al. Systematic review of the role of stereotactic radiotherapy for bone metastases. J Natl Cancer Inst. 2019;111(10):1023–32.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Domenicucci M, Nigro L, Delfini R. Total en-bloc spondylectomy through a posterior approach: technique and surgical outcome in thoracic metastases. Acta Neurochir (Wien). 2018;160(7):1373–6.

    Article  Google Scholar 

  13. Kushchayev SV, Wiener PC, Teytelboym OM, et al. Percutaneous vertebroplasty: a history of procedure, technology, culture, specialty, and economics. Neuroimaging Clin N Am. 2019;29(4):481–94.

    Article  PubMed  Google Scholar 

  14. Rothrock R, Pennington Z, Ehresman J, et al. Hybrid therapy for spinal metastases. Neurosurg Clin N Am. 2020;31(2):191–200.

    Article  PubMed  Google Scholar 

  15. Koklesova L, Liskova A, Samec M, et al. Protective effects of flavonoids against mitochondriopathies and associated pathologies: focus on the predictive approach and personalized prevention. Int J Mol Sci. 2021;22(16):8649.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Liskova A, Samec M, Koklesova L, et al. Liquid biopsy is instrumental for 3PM dimensional solutions in cancer management. J Clin Med. 2020;9(9):2749.

    Article  PubMed Central  Google Scholar 

  17. Tomita K, Kawahara N, Kobayashi T, et al. Surgical strategy for spinal metastases. Spine. 2001;26(3):298–306.

    Article  CAS  PubMed  Google Scholar 

  18. Chiarotto A, Maxwell LJ, Ostelo RW, et al. Measurement properties of visual analogue scale, numeric rating scale, and pain severity subscale of the brief pain inventory in patients with low back pain: a systematic review. J Pain. 2019;20(3):245–63.

    Article  PubMed  Google Scholar 

  19. Knauf T, Buecking B, Hack J, et al. Development of the Barthel Index 5 years after hip fracture: results of a prospective study. Geriatr Gerontol Int. 2019;19(8):809–14.

    Article  PubMed  Google Scholar 

  20. Mannion AF, Bianchi G, Mariaux F, et al. Can the Charlson Comorbidity Index be used to predict the ASA grade in patients undergoing spine surgery? Eur Spine J. 2020;29(12):2941–52.

    Article  CAS  PubMed  Google Scholar 

  21. Kucera R, Pecen L, Topolcan O, et al. Prostate cancer management: long-term beliefs, epidemic developments in the early twenty-first century and 3PM dimensional solutions. EPMA J. 2020;11(3):399–418.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hagan S, Orr MC, Doyle B. Targeted therapies in colorectal cancer-an integrative view by PPPM. EPMA J. 2013;4(1):3.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Bubnov R, Polivka J Jr, Zubor P, et al. “Pre-metastatic niches” in breast cancer: are they created by or prior to the tumour onset? “Flammer Syndrome” relevance to address the question. EPMA J. 2017;8(2):141–57.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Cheng T, Zhan X. Pattern recognition for predictive, preventive, and personalized medicine in cancer. EPMA J. 2017;8(1):51–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Shupp AB, Kolb AD, Bussard KM. Novel techniques to study the bone-tumor microenvironment. Adv Exp Med Biol. 2020;1225:1–18.

    Article  CAS  PubMed  Google Scholar 

  26. Xiang L, Gilkes DM. The contribution of the immune system in bone metastasis pathogenesis. Int J Mol Sci. 2019;20(4):999.

    Article  CAS  PubMed Central  Google Scholar 

  27. Huang F, Cao Y, Wu G, et al. BMP2 signalling activation enhances bone metastases of non-small cell lung cancer. J Cell Mol Med. 2020;24(18):10768–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Lim CH, Ahn TR, Moon SH, et al. PET/CT features discriminate risk of metastasis among single-bone FDG lesions detected in newly diagnosed non-small-cell lung cancer patients. Eur Radiol. 2019;29(4):1903–11.

    Article  PubMed  Google Scholar 

  29. Song Q, Shang J, Zhang C, et al. Impact of the homogeneous and heterogeneous risk factors on the incidence and survival outcome of bone metastasis in NSCLC patients. J Cancer Res Clin Oncol. 2019;145(3):737–46.

    Article  PubMed  Google Scholar 

  30. Wang B, Chen L, Huang C, et al. The homogeneous and heterogeneous risk factors for occurrence and prognosis in lung cancer patients with bone metastasis. J Bone Oncol. 2019;17:100251.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Joskowicz L. Computer-aided surgery meets predictive, preventive, and personalized medicine. EPMA J. 2017;8(1):1–4.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kitagawa Y, Ito T, Mizuno Y, et al. Symptoms related to moderate skeletal-related events as clues for the diagnosis of bone metastasis. J Nippon Med Sch. 2019;86(3):159–64.

    Article  PubMed  Google Scholar 

  33. Laganà M, Gurizzan C, Roca E, et al. High prevalence and early occurrence of skeletal complications in EGFR mutated NSCLC patients with bone metastases. Front Oncol. 2020;10:588862.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Zhang H, Zhu W, Biskup E, et al. Incidence, risk factors and prognostic characteristics of bone metastases and skeletal-related events (SREs) in breast cancer patients: a systematic review of the real world data. J Bone Oncol. 2018;11:38–50.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Lee CH, Chung CK, Jahng TA, et al. Which one is a valuable surrogate for predicting survival between Tomita and Tokuhashi scores in patients with spinal metastases? A meta-analysis for diagnostic test accuracy and individual participant data analysis. J Neurooncol. 2015;123(2):267–75.

    Article  PubMed  Google Scholar 

  36. Chinese Medical Association Society of Orthopedics Bone Oncology Group. Guidelines for surgical treatments of metastatic spinal tumors. Chin J Orthop. 2019; 39(12): 717–6. https://doi.org/10.3760/cma.j.issn.0253?2352.2019.12.001

  37. Bollen L, Dijkstra SPD, Bartels RHMA, et al. Clinical management of spinal metastases-the Dutch national guideline. Eur J Cancer. 2018;104:81–90.

    Article  PubMed  Google Scholar 

  38. Spratt DE, Beeler WH, de Moraes FY, et al. An integrated multidisciplinary algorithm for the management of spinal metastases: an International Spine Oncology Consortium report. Lancet Oncol. 2017;18(12):e720–30.

    Article  PubMed  Google Scholar 

  39. Zhu J, Yang S, Cai K, et al. Bioactive poly (methyl methacrylate) bone cement for the treatment of osteoporotic vertebral compression fractures. Theranostics. 2020;10(14):6544–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Tan L, Wen B, Guo Z, et al. The effect of bone cement distribution on the outcome of percutaneous vertebroplasty: a case cohort study. BMC Musculoskelet Disord. 2020;21(1):541.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Wegener B, Zolyniak N, Gülecyüz MF, et al. Heat distribution of polymerisation temperature of bone cement on the spinal canal during vertebroplasty. Int Orthop. 2012;36(5):1025–30.

    Article  PubMed  Google Scholar 

  42. Zhu SY, Zhong ZM, Wu Q, et al. Risk factors for bone cement leakage in percutaneous vertebroplasty: a retrospective study of four hundred and eighty five patients. Int Orthop. 2016;40(6):1205–10.

    Article  PubMed  Google Scholar 

  43. Tang S, Fu W, Zhang H, et al. Efficacy and safety of high-viscosity bone cement vertebroplasty in treatment of osteoporotic vertebral compression fractures with intravertebral cleft. World Neurosurg. 2019;132:e739–45.

    Article  PubMed  Google Scholar 

  44. Zhang L, Wang Q, Wang L, et al. Bone cement distribution in the vertebral body affects chances of recompression after percutaneous vertebroplasty treatment in elderly patients with osteoporotic vertebral compression fractures. Clin Interv Aging. 2017;12:431–6.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Tuan TA, Luong TV, Cuong PM, et al. Cement leakage in percutaneous vertebroplasty for multiple osteoporotic vertebral compression fractures: a prospective cohort study. Orthop Res Rev. 2020;12:105–11.

    PubMed  PubMed Central  Google Scholar 

  46. Quraishi NA, Arealis G, Salem KM, et al. The surgical management of metastatic spinal tumors based on an Epidural Spinal Cord Compression (ESCC) scale. Spine J. 2015;15(8):1738–43.

    Article  PubMed  Google Scholar 

  47. Di Perna G, Cofano F, Mantovani C, et al. Separation surgery for metastatic epidural spinal cord compression: a qualitative review. J Bone Oncol. 2020;25:100320.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Barzilai O, Laufer I, Robin A, et al. Hybrid therapy for metastatic epidural spinal cord compression: technique for separation surgery and spine radiosurgery. Oper Neurosurg (Hagerstown). 2019;16(3):310–8.

    Article  Google Scholar 

  49. Xiaozhou L, Xing Z, Xin S, et al. Efficacy analysis of separation surgery combined with SBRT for spinal metastases-a long-term follow-up study based on patients with spinal metastatic tumor in a single-center. Orthop Surg. 2020;12(2):404–20.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Redmond KJ, Lo SS, Soltys SG, et al. Consensus guidelines for postoperative stereotactic body radiation therapy for spinal metastases: results of an international survey. J Neurosurg Spine. 2017;26(3):299–306.

    Article  PubMed  Google Scholar 

  51. Gorphe P, Bouhir S, Garcia GCTE, et al. Anemia and neutrophil-to-lymphocyte ratio in laryngeal cancer treated with induction chemotherapy. Laryngoscope. 2020;130(4):E144–50.

    Article  CAS  PubMed  Google Scholar 

  52. Desai N, Schofield N, Richards T. Perioperative patient blood management to improve outcomes. Anesth Analg. 2018;127(5):1211–20.

    Article  PubMed  Google Scholar 

  53. Zubor P, Dankova Z, Kolkova Z, et al. Rho GTPases in Gynecologic cancers: in-depth analysis toward the paradigm change from reactive to predictive, preventive, and personalized medical approach benefiting the patient and healthcare. Cancers (Basel). 2020;12(5):1292.

    Article  CAS  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (Number: 81872179; Recipients: Wangjun Yan).

Author information

Authors and Affiliations

Authors

Contributions

Wangjun Yan and Yangbai Sun contributed to the study conception and design. Xianglin Hu, Wending Huang, Zhengwang Sun, Hui Ye, Kwong Man, and Qifeng Wang retrieved, analyzed, and interpreted the data. Xianglin Hu drafted the manuscript. Wangjun Yan and Yangbai Sun revised the manuscript. All authors read and approved the submission.

Corresponding authors

Correspondence to Yangbai Sun or Wangjun Yan.

Ethics declarations

Ethics approval

This study was approved by the Ethics Committee of Fudan University Shanghai Cancer Center, Shanghai, 200032, China. All procedures performed in the study involving human participants were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Consent to participate

Informed consent for participation in the FUSCC cohort was obtained in this study.

Consent for publication

All authors read and approved the submission.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Highlights

The current study introduces a predictive, preventive, and personalized medicine (3PM) viewpoint throughout lung cancer (LC)-bone metastasis (BM) management.

1. Predictive diagnostics: Liver metastasis is a significant risk factor for BM. the individualized nomogram established in our study can well stratify a patient’s BM risk.

2. Targeted prevention: Young patients, males, patients with high invasive LC, and patients with other distant site metastases must be the key population for BM prevention.

3. Personalization of medical services: Personalized spinal metastasis surgery with spinal reconstruction significantly relieves pain and improves daily activities.

4. Personalization of medical services: Perioperative managements such as anti-inflammation and blood transfusion must be individualized to prevent vital organs injury. Radiotherapy needs to be recommended for specific postoperative individuals

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 23 KB)

Supplementary file2 (DOCX 1188 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, X., Huang, W., Sun, Z. et al. Predictive factors, preventive implications, and personalized surgical strategies for bone metastasis from lung cancer: population-based approach with a comprehensive cancer center-based study. EPMA Journal 13, 57–75 (2022). https://doi.org/10.1007/s13167-022-00270-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13167-022-00270-9

Keywords

Navigation