Validation of a Novel Nomogram for Prediction of Local Relapse after Surgery for Invasive Breast Carcinoma

Corso, Giovanni; Maisonneuve, Patrick; Massari, Giulia; Invento, Alessandra; Pravettoni, Gabriella; Scalzi, Alessandra Margherita De; Intra, Mattia; Galimberti, Viviana; Morigi, Consuelo; Lauretta, Milena; Sacchini, Virgilio; Veronesi, Giulia

doi:10.1245/s10434-019-08160-7

Cited by 23 publications

(25 citation statements)

References 27 publications

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“…The n-3 PUFA family reduces inflammation, controls triglyceride levels, and thus reduces the risk of BC via several mechanisms, i.e., by altering the composition of the phospholipid cell membranes, inhibiting arachidonic acid (ARA) metabolism and pro-inflammatory molecule production, and modulating the expression and function of various receptors, transcription factors, and signaling molecules [ 109 ]. Marine-derived n-3 PUFA would seem to have a protective effect against the development of BC [ 110 ], particularly in postmenopausal women, whereas n-6 PUFA contribute to carcinogenic mechanisms with the production of pro-inflammatory eicosanoids, such as prostaglandin E2, which is implicated in angiogenic processes and in the suppression of cancer cell apoptosis [ 109 , 111 ].…”

Section: Discussionmentioning

confidence: 99%

Breast Cancer Primary Prevention and Diet: An Umbrella Review

Buja

Pierbon

Lago

et al. 2020

IJERPH

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Introduction: Many studies have been published, but none have pooled the useful evidence available in the literature to produce guidelines and health policies promoting healthy eating styles to prevent breast cancer (BC). The present study aimed to summarize the evidence produced to date, taking a judicious, critical approach to the quality of the studies analyzed. Methods: An umbrella review method was adopted, which is a systematic review of second-level studies, meta-analyses and literature reviews. Results: In all, 48 studies were considered: 32 meta-analyses, 4 pooled analyses, 5 systematic reviews, and 7 qualitative reviews. A higher intake of total meat, or red or processed meats, or foods with a high glycemic index, or eggs would seem to be associated with a higher risk of BC. Some foods, such as vegetables, would seem instead to have an inverse association with BC risk. One meta-analysis revealed an inverse association between citrus fruit and mushroom consumption and BC. Some nutrients, such as calcium, folate, vitamin D, lignans and carotenoids, also seem to be inversely associated with BC risk. The evidence is still conflicting as concerns exposure to other dietary elements (e.g., polyunsaturated fatty acids, dairy foods). Conclusion: Nutrition is one of the most modifiable aspects of people’s lifestyles and dietary choices can affect health and the risk of cancer. Overall, adhering to a healthy eating style may be associated with a significant reduction in the risk of BC.

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Section: Discussionmentioning

confidence: 99%

Breast Cancer Primary Prevention and Diet: An Umbrella Review

Buja

Pierbon

Lago

et al. 2020

IJERPH

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“…This model was validated, and the performance was evaluated. Calibration plots showed an optimal agreement between the observed risks and nomogram to predict the risk of developing relapsed disease [20]; studies by S. R. Li et al and Z. C. Xiong et al combined the de novo MBC patients and those with relapsed disease [18,19]. However, many studies have shown that women with de novo MBC represent a group that is distinct from that of women with relapsed breast cancer [21][22][23] .…”

Section: Discussionmentioning

confidence: 99%

“…Several nomograms have been developed to predict the survival of MBC patients [ 17 – 20 ]. C. K. Lee et al focused on predicting survival of MBC patients with relapsed disease [ 17 ]; Giovanni Corso et al used a nomogram to predict the risk of developing relapsed disease [ 20 ]; studies by S. R. Li et al and Z. C. Xiong et al combined the de novo MBC patients and those with relapsed disease [ 18 , 19 ]. However, many studies have shown that women with de novo MBC represent a group that is distinct from that of women with relapsed breast cancer [ 21 – 23 ] .…”

Section: Discussionmentioning

confidence: 99%

“…The prognostic factors identified in the univariate and multivariate Cox regression models in the training cohort incorporating covariates identified by the smallest AIC value (Continued)Several nomograms have been developed to predict the survival of MBC patients[17][18][19][20]. C. K. Lee et al focused on predicting survival of MBC patients with relapsed disease[17]; Giovanni Corso et al used a…”

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A nomogram for predicting survival in patients with de novo metastatic breast cancer: a population-based study

Zhao

et al. 2020

BMC Cancer

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Background 5–10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) of these patients. Methods de novo MBC patients diagnosed in 2010–2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. They were randomly divided into a training and a validation cohort with a ratio of 2:1. The best subsets of covariates were identified to develop a nomogram predicting OS based on the smallest Akaike Information Criterion (AIC) value in the multivariate Cox models. The discrimination and calibration of the nomogram were evaluated using the Concordance index, the area under the time-dependent receiver operating characteristic curve (AUC) and calibration curves. Results In this study, we included 7986 patients with de novo MBC. The median follow-up time was 36 months (range: 0–83 months). Five thousand three-hundred twenty four patients were allocated into the training cohort while 2662 were allocated into the validation cohort. In the training cohort, age at diagnosis, race, marital status, differentiation grade, subtype, T stage, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery and chemotherapy were selected to create the nomogram estimating the 1-, 3- and 5- year OS based on the smallest AIC value in the multivariate Cox models. The nomogram achieved a Concordance index of 0.723 (95% CI, 0.713–0.733) in the training cohort and 0.719 (95% CI, 0.705–0.734) in the validation cohort. AUC values of the nomogram indicated good specificity and sensitivity in the training and validation cohort. Calibration curves showed a favorable consistency between the predicted and actual survival probabilities. Conclusion The developed nomogram reliably predicted OS in patients with de novo MBC and presented a favorable discrimination ability. While further validation is needed, this may be a useful tool in clinical practice.

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“…Oncology 2020;98:714-718 DOI: 10.1159/000507707 gional and distant recurrence is higher at 35% [2]. Nomograms to predict the risk of IBTR based on tumor characteristics and clinical manifestations are available [3]. BC surveillance is based on a multidisciplinary approach integrating clinical examination, imaging, and blood tests.…”

Section: Introductionmentioning

confidence: 99%

How Useful Are Tumor Markers in Detecting Metastases with FDG-PET/CT during Breast Cancer Surveillance?

Corso¹,

Gilardi²,

Girardi³

et al. 2020

Oncology

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Background: To assess the clinical usefulness of serum tumor markers for early detection of distant breast cancer recurrence using FDG-PET/CT. Methods: We retrospectively analyzed 561 consecutive patients who underwent surgery for invasive primary breast cancer and had increased tumor markers (CA 15-3 and CEA) after completion of locoregional therapy. FDG-PET/CT data were reviewed for all cases. CA 15-3 and CEA were evaluated both in a continuous and in a quartile (Q) distribution. The Wilcoxon rank-sum test and logistic regression models were used to evaluate the association between increased tumor marker values and the presence (and type) of distant metastases. Results: The median value of CA 15-3 was 35.0 U/mL (IQR, 29.5-43.0) in cases where no distant metastases were detected, and it was 58.9 U/mL (IQR, 40.0-108.0) in cases where metastases were detected (p < 0.001). The median value of CEA was 6.6 U/mL (IQR, 4.4-10.0) in cases of no metastases and 12.4 U/mL (IQR, 6.9-30.0) in cases of metastases (p < 0.001). Increased levels of both tumor markers (Q3 and Q4) were strongly associated with the presence of distant metastases. The association between CA 15-3 and bone/liver metastases was stronger compared with other types of metastases (p heterogeneity between odds ratios [ORs] = 0.03 for Q3 and <0.001 for Q4), while no relevant heterogeneity between ORs emerged for CEA. Conclusion: Increased tumor marker levels detected in asymptomatic breast cancer patients during adjuvant therapies and follow-up are significantly predictive of distant metastases identified on FDG-PET/CT.

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Validation of a Novel Nomogram for Prediction of Local Relapse after Surgery for Invasive Breast Carcinoma

Cited by 23 publications

References 27 publications

Breast Cancer Primary Prevention and Diet: An Umbrella Review

Breast Cancer Primary Prevention and Diet: An Umbrella Review

A nomogram for predicting survival in patients with de novo metastatic breast cancer: a population-based study

How Useful Are Tumor Markers in Detecting Metastases with FDG-PET/CT during Breast Cancer Surveillance?

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