Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis

Wang, Zhan; Shao, Haiyu; Xu, Qiang; Wang, Yongguang; Ma, Yaojing; Diaty, Diarra Mohamed; Zhang, Jiahao; Ye, Zhaoming

doi:10.3389/fmed.2022.840024

Cited by 5 publications

(7 citation statements)

References 20 publications

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“…Many studies have suggested that histological subtype, primary site, and BC subtype are independent predictors of BC patient diagnosis or prognosis (11)(12)(13). In this study, although simple analysis indicated that these variables might affect the diagnosis and prognosis of MBCBM patients, multivariate analysis revealed no significance (P>0.05).…”

Section: Malignant Tumor Cells Interfere With Bone Microenvironment H...contrasting

confidence: 64%

“…However, many studies in recent years have shown that primary tumor surgery can also be used as palliative care to control tumor burden and provide survival benefits for patients with metastatic BC (31). Studies have shown that chemotherapy or radiotherapy in FBC patients with BM could alleviate cancer-related symptoms and improve survival benefits (11,12). However, in our multivariate analysis, chemotherapy and radiotherapy did not significantly enhance the prognosis in MBCBM patients (P>0.05).…”

Section: Malignant Tumor Cells Interfere With Bone Microenvironment H...contrasting

confidence: 62%

“…This has a substantial detrimental impact on patients' quality of life and mental health, as well as increasing social burden and triggering public anxiety. To date, there are many published reports on FBC with BM, but few on the clinical characteristics and prognostic survival of MBC with BM (MBCBM) (11)(12)(13)(14).…”

Section: Introductionmentioning

confidence: 99%

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Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases

Gao

et al. 2022

Front. Endocrinol.

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BackgroundBone metastases (BM) from malignant tumors could disrupt the balance between osteoclasts and osteoblasts and affect bone homeostasis. Malignant breast cancer (BC) is rare in male patients, and co-occurrence of BM is even rarer. Given its low incidence, there is limited research evaluating risk and prognosis. Despite the widespread application of nomograms to predict uncommon malignancies, no studies have constructed predictive models focusing on the diagnosis and prognosis of male breast cancer with bone metastases (MBCBM).MethodsThis study selected all male breast cancer patients (MBC) between 2010 and 2019 in the Surveillance, Epidemiology, and End Results (SEER) database. We used simple and multivariate Logistic regression analyses to identify independent risk factors for BM in MBC patients. Then simple and multivariate Cox regression analyses were employed to determine the independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS) in MBCBM patients. We established and validated three new nomograms based on these independent factors.ResultA total of 4187 MBC patients were included, with 191 (4.56%) having bone metastases at the time of diagnosis. The independent risk factors of BM in MBC patients included age, tumor size, marital status, T stage, and N stage. In MBCBM patients, independent prognostic factors for OS and CSS were both age, T stage, ER status, PR status, and surgery. The concordance index (C-index), the area under the curve (AUC) of the receiver operating characteristic curve (ROC), the calibration curve, and the decision curve analysis (DCA) confirmed that these three nomograms could accurately predict the diagnosis and prognosis of MBCBM patients with excellent discrimination and clinical utility superior to the TNM staging system. We then established two prognostic-based risk stratification systems and three visualized dynamic nomograms that could be applied in clinical practice.ConclusionIn conclusion, this study aimed to establish and validate an accurate novel nomogram to objectively predict the diagnosis and prognosis of MBCBM patients. On this basis, prognostic-based risk stratification systems and visualized dynamic nomograms were constructed to facilitate doctors and patients to quantify individual BM risk probability and survival probability to assist in personalized risk assessment and clinical decision-making.

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Section: Malignant Tumor Cells Interfere With Bone Microenvironment H...contrasting

confidence: 64%

Section: Malignant Tumor Cells Interfere With Bone Microenvironment H...contrasting

confidence: 62%

See 1 more Smart Citation

Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases

Gao

et al. 2022

Front. Endocrinol.

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“…However, there is a lack of accurate prediction models in the clinic. Recently, some studies used nomograms to make several survival prediction models for patients with BMBC ( 7 – 12 ), but their accuracy rate is only about 70%. As a result, a more accurate and powerful model is needed.…”

Section: Discussionmentioning

confidence: 99%

“…However, there is no accurate prediction model for them. The most used model for predicting the survival rate is nomogram, but its accuracy rate is only about 70% (7)(8)(9)(10)(11)(12). As a result, a more accurate and powerful model is needed.…”

Section: Introductionmentioning

confidence: 99%

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

Liu

et al. 2022

Front. Public Health

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BackgroundBone is the most common metastatic site of patients with advanced breast cancer and the survival time is their primary concern; however, we lack accurate predictive models in clinical practice. In addition to this, primary surgery for breast cancer patients with bone metastases is still controversial.MethodThe data used for analysis in this study were obtained from the SEER database (2010–2019). We made a COX regression analysis to identify prognostic factors of patients with bone metastatic breast cancer (BMBC). Through cross-validation, we constructed an XGBoost model to predicting survival in patients with BMBC. We also investigated the prognosis of patients treated with neoadjuvant chemotherapy plus surgical and chemotherapy alone using propensity score matching and K–M survival analysis.ResultsOur validation results showed that the model has high sensitivity, specificity, and correctness, and it is the most accurate one to predict the survival of patients with BMBC (1-year AUC = 0.818, 3-year AUC = 0.798, and 5-year survival AUC = 0.791). The sensitivity of the 1-year model was higher (0.79), while the specificity of the 5-year model was higher (0.86). Interestingly, we found that if the time from diagnosis to therapy was ≥1 month, patients with BMBC had even better survival than those who started treatment immediately (HR = 0.920, 95%CI 0.869–0.974, P < 0.01). The BMBC patients with an income of more than USD$70,000 had better OS (HR = 0.814, 95%CI 0.745–0.890, P < 0.001) and BCSS (HR = 0.808 95%CI 0.735–0.889, P < 0.001) than who with income of < USD$50,000. We also found that compared with chemotherapy alone, neoadjuvant chemotherapy plus surgical treatment significantly improved OS and BCSS in all molecular subtypes of patients with BMBC, while only the patients with bone metastases only, bone and liver metastases, bone and lung metastases could benefit from neoadjuvant chemotherapy plus surgical treatment.ConclusionWe constructed an AI model to provide a quantitative method to predict the survival of patients with BMBC, and our validation results indicate that this model should be highly reproducible in a similar patient population. We also identified potential prognostic factors for patients with BMBC and suggested that primary surgery followed by neoadjuvant chemotherapy might increase survival in a selected subgroup of patients.

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Risk factors analysis and nomogram construction for blood transfusion in elderly patients with femoral neck fractures undergoing hemiarthroplasty

Zhang²

2022

International Orthopaedics (SICOT)

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Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis

Cited by 5 publications

References 20 publications

Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases

Risk stratification system and visualized dynamic nomogram constructed for predicting diagnosis and prognosis in rare male breast cancer patients with bone metastases

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

Risk factors analysis and nomogram construction for blood transfusion in elderly patients with femoral neck fractures undergoing hemiarthroplasty

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