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ORIGINAL ARTICLE
Adv Biomed Res 2022,  11:108

A combined nomogram model to preoperatively predict positive sentinel lymph biopsy for breast cancer in Iranian population


1 Department of General Surgery, School of Medicine, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran
2 Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
3 Department of Operating Room, Faculty of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran
4 Department of Surgery, School of Medicine, Kowsar Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran

Date of Submission09-Sep-2021
Date of Acceptance19-Jan-2021
Date of Web Publication28-Nov-2022

Correspondence Address:
Dr. Hassan Moayeri
Department of Surgery, School of Medicine, Kowsar Hospital, Kurdistan University of Medical Sciences, Sanandaj
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/abr.abr_286_21

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  Abstract 


Background: Axillary dissection in breast cancer provides useful information on the degree of axillary nodule involvement, which serves as a reliable indicator for the prognosis and staging of breast cancer in patients. The aim of this study was to develop and validate the nomogram model by combining prognostic factors and clinical features to predict the node status of preoperative breast guard positive node cancer.
Materials and Methods: Subjects consisted of patients referring to hospitals with the diagnosis of breast cancer. Patients were allowed to substitute molecular subtypes with data on breast cancer diagnosis and prognosis as well as sentinel node status. The bootstrap review was used for internal validation. The predicted performance was evaluated based on the area under the receiver operating characteristic curve. According to the logistic regression analysis, the nomograms reported material strength between predictors and final status reliability.
Results: 1172 patients participated in the study, of whom only 539 patients had axillary lymph node involvement. The subtype, family history, calcification, and necrosis were not significantly related to axillary lymph node involvement. Tumor size, histological type, and lymphovascular invasion in multivariate logistic regression were significantly and directly correlated with axillary lymph node involvement.
Conclusion: Nomograms, depending on the population, help make decisions to prevent axillary surgery. It seems that the prediction model presented in this study, based on the results of the neuromography, can help surgeons make a more informed decision on underarm surgery. Moreover, in some cases, their surgical program will be informed by accurate medical care and preclusion of major surgeries such as ALND.

Keywords: Breast cancer, nomogram, sentinel lymph node biopsy


How to cite this article:
Nafissi N, Zareie B, Rezagholi P, Moayeri H. A combined nomogram model to preoperatively predict positive sentinel lymph biopsy for breast cancer in Iranian population. Adv Biomed Res 2022;11:108

How to cite this URL:
Nafissi N, Zareie B, Rezagholi P, Moayeri H. A combined nomogram model to preoperatively predict positive sentinel lymph biopsy for breast cancer in Iranian population. Adv Biomed Res [serial online] 2022 [cited 2023 Feb 6];11:108. Available from: https://www.advbiores.net/text.asp?2022/11/1/108/362021




  Introduction Top


Axillary dissection in breast cancer provides information on the extent of axillary nodule involvement, which acts as a reliable indicator for the prognosis and staging of breast cancer in patients.[1] Breast cancer surgery has currently lost its momentum. A growing body of studies has shown that, depending on the patient's condition, smaller surgeries can be more efficient than radical surgeries with significantly lower complications.[2] Nonpositive sentinel lymph node biopsy (SLNB) is not required for axillary dissection. It means no metastasis or nonsentinel lymph node (NSLN), although residual disease alone does not affect the rate of local recurrence. Recent clinical studies have reported factors that are likely to be associated with metastases of lymph nodes, thereby preventing extensive radical surgeries (axillary lymph node dissection [ALNDs]) in patients with low risk of metastasis or NSLN.[3] Conventionally, ALND is used to determine the rate of lymph nodes involvement, but today, SLNB is recognized as a standard, selective, and noncomplicated method.[4],[5] Following a histochemical assessment, patients with a negative SLNB response may not need an ALND. However, there is still a slight chance of NSLN engagement before an SLNB conflict, and surgeons may need an algorithm that measures the risk of NSLN involvement. Considering the possibility of false-negative results in SLNB, it is essential to identify those patients more vulnerable to NSLN and to avoid localized relapses caused by positive lymph nodes behind a precursor missed in the scrutiny.[4] To identify these factors and tools in order to determine the probability of metastasis in nonguarded glands, some medical centers, such as the MD Anderson Cancer Center, have designed a nomogram that predicts the probability of positive NSLN in the case of metastasis in SLNB. Precision medicine is a therapeutic model that personalizes the health-care process by providing medical decisions, exercises, or pharmaceutical products for each individual patient. In this model, diagnostic tests are often employed to identify optimal therapeutic approaches based on the genetic content of a person.[6] Precision instruments include molecular detection and imaging.[7] The precise medical care for breast cancer treatment faces several major challenges, including low frequency of target molecular variations, the feasibility of high-powered technologies, and access to targeted therapy.[8] Precise medical care is also used for breast surgery, and these technologies provide even more precise treatment methods. Nomograms, which are designed to decide on precautions based on data collected from patients, need to be revalidated before application to other areas. Nomogram provides useful information about the possibility of metastasis on the NSLN, though it is an inherently challenging task. When deciding on the application of nomograms in a new facility, caution should be practised in making decisions about positive SLNB patients. The NSLN involvement relies on the characteristics of the tumor and lymph nodes, and several researcher nomograms and scoring systems have been proposed to predict the likelihood of NSLN metastasis. The most common systems include the Memorial Sloan Kettering Cancer Center (MSKCC),[9] Cambridge Nomograms,[10] Stanford Nomograms,[11] Thyon Scores,[12] and Anderson's Cancer Center Score.[13] The accuracy of the nomograms in the prediction of sentinel lymph node (SLN) involvement varies in different societies. Therefore, this study, based on the characteristics of the Iranian patients, designs nomograms to predict SLN involvement to help surgeons in this area.


  Materials and Methods Top


The participants included patients diagnosed with breast cancer referring to Rasool Akram and Khatam-ol-Anbia hospitals in Tehran, Iran. Patients were allowed to substitute molecular subtypes with data on breast cancer prognosis. Those who met the following criteria were included in the study: initial diagnosis of breast cancer after pathologic confirmation, no systemic neoadjuvant or mastectomy treatment, successful SLNB and AXLND in case of SLNB involvement, and willingness to participate in the study. Pathological clinical parameters were also recorded. Preoperative imaging including mammography and breast ultrasound was performed for all patients. Tumor size was determined based on the largest size measured in mammography or ultrasound. Furthermore, if the multicenteric tumor in the breast was suspected on mammography or ultrasound, it was confirmed by pathology. All patients underwent a core needle biopsy (CNB) for a definitive diagnosis preoperatively. The following assessments were carried out for all samples. This study was approved by the Ethics Review Board of Iran University of Medical Sciences. The histologic grade, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and Ki-67 index were based on U. S. National Comprehensive Cancer Network guideline.[6] Based on regression analysis, Nomograms were designed to predict the NSLN status of breast cancer according to the binary logistic regression coefficient. The variables that with P value < 0.2 in tables 2 were entered into regression analysis. Also significant variables based on P value < 0.05 were selected for the multivariate analysis. Confidence intervals of odds ratio were processed with Bootstrap 1000 times. to increase the validity of the final model. Statistical analysis was performed using nomolog package of the Stata14.0 software (StataCorp, College Station, TX).


  Results Top


A total of 1172 people with breast cancer participated in the study, of which 633 (54.01%) had no axillary lymph node involvement, and only 539 (45.99%) reported axillary lymph node involvement. Moreover, 629 (53.67%) participants were over 50 years old and 858 (73.21) had no family history of breast cancer. Tumor size in most cases (525) was between 21 and 40 mm. Histological grade in most cases (555) was II [Table 1]. In addition to age, the prevalence of axillary lymph node involvement was approximately identical in individuals over 50 years of age and those under 50 (46.10 vs. 45.49) (P > 0.05). Other variables such as subtype, family history, calcification, and necrosis were not significantly correlated with axillary lymph node involvement (P > 0.05) [Table 2]. Tumor size (mm), histological type, and vascular invasion in multivariate logistic regression were significantly and directly related to axillary lymph node involvement (P < 0.05). Also, histological grade and multicentric variables were associated with axillary lymph node involvement. In addition, a significant and direct relationship was observed with univariate logistics (P < 0.05) [Table 3]. According to the results of multivariate regression, the highest odds ratio was tumor invasion (adjusted odds ratio AOR: 4.56; 3.39–6.13; P < 0.001). The probabilistic nomogram suggested that vascular invasion and pathologic mixing had the highest scores and the greatest impact on increasing the likelihood of cancer spread to the axilla.
Table 1: Characteristics of the patients with positive sentinel lymph node (n=1172)

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Table 2: Multivariate logistic regression to estimate the final model

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Table 3: Result from logistic regression models for N0 and N+

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  Discussion Top


In the 1971 National Surgical Adjuvant Breast and Bowel Project, a study was conducted to determine whether less invasive (less extensive) treatments could be as effective as radical mastectomy. The results suggested that axillary dissection did not increase the survival of patients in the long term. The sentinel lymph node hypothesis for lymph node gradation is based on biopsy-based morbidity (SNLB) to determine the first target of metastatic cells.[14]

Even 10-year survival outcomes from the American College of Surgeons Oncology Group Z0011 and International Breast Cancer Study Group 23-01 trials corroborated non-inferiority of SLNB alone compared to ALND for patients with limited positive SLN(s).[15],[16]

Breast cancer surgery has currently been scaled down. Many studies have shown that, depending on the patient's condition, smaller surgeries could be more effective than radical surgeries with lower complications.[17],[18] The first and most important prognosis of invasive breast cancer is in the proximal tumor of the axillary lymph nodes. Indeed, 40 to 70% of these patients do not have metastatic non-sentinel lymph nodes (NSLN).[19],[20] According to the results of this study, the prevalence of axillary lymph node involvement is almost identical in patients below 50 years of age who had SLND (P = 0.837). However, as reported by Dihge L et al. (2017), 1 year of age difference was associated with 0.02 times higher risk of axillary involvement (P = 0.013 (AOR: 1.02, 95% confidence interval [CI] (1.00)–1.04) This could be ascribed to the fact that Iranian women, like the study Wang XY et al., develop breast cancer one to two decades earlier, which can neutralize this difference.[21],[22] As reported in the literature, lymphovascular invasion (LVI) is one of the main determinants of SLN metastases.[23] It has the highest risk among other variables in both raw and multivariate logistic models (P < 0.001 AOR: 4.56; 3.39–6.13). Similar studies have been performed on LVI tumors. Similar AOR values can be found in the study of Dijeji et al. (2017) (AOR: 4.67; 2.70–8.09; P < 0.001). As depicted by nomograms, LVI has the longest relevant tumor, and patients with LVI have a higher score with a significantly higher chance of lymph node involvement. This finding is consistent with the results reported in previous studies. Given the fact that LVI may not be evaluated in the CNB, this variable is often treated with caution. Multicentricity significantly increases the risk of tumor risk (odds ratio [OR]: 2.91; 1.33–6.37; P: <0.001) in raw analysis and multivariate analysis (OR: 2.49; 0.76–8.12; P = 0.131). Few studies have evaluated the impact of this variable on the involvement of the axillary nodes. Evaluation of patients' histological type factor and the incorporation of this variable based on specific categories into the multivariate analysis can significantly increase the accuracy of predictions. According to the results of pathology, lobular and ductal tumors and a combination both can significantly increase the likelihood of axillary lymph node involvement compared to pathological results of other types. Most people with a combined type of tumor have adjusted odds ratio: 4.00; 1.68–9.56; P = 0.002. In other words, lobular and combined tumors are least and most likely to be pathologically involved in axillary lymph nodes, respectively.[24] In light of the histological results reported in the raw logistic model, the increased tumor grade raises the likelihood of tumor development, but the effect of this variable on multivariate analysis has not been evaluated due to its association with other variables and the lack of cross-correlations between variables. In other studies, this may not be sufficiently accurate. Contrary to the results reported by Dihge L et al. (2017), subtypes do not play a significant role in the breast cancer spread and metastasis in the axillary lymph node involvement (P = 0.450). Investigating the factors underlying the likelihood of lymph node involvement in breast cancer patients can prevent unnecessary dissection of the axillary lymph node that causes pain and swelling and restricts shoulder movements.


  Conclusion Top


However, in this study, all patients were measured on a CNB sample (LVI) before surgery. This study evaluated the variables regardless of their sensitivity and specificity. According to the results of this study and using the nemogram drawn in Iran to predict the presence of nonmetastatic lymph nodes in patients, surgeons are recommended to use this device to perform unnecessary surgeries and complications refrain more. Of course, standard examinations such as preoperative LVI examinations seem necessary [Figure 1].
Figure 1: Nomogram for predicting Positive Sentinel Lymph Biopsy for Breast Cancer (Instructions for use of the nomogram: First, assign the points of each characteristic of the patient by drawing a vertical line from that variable to the points scale. Then, sum all the points and draw a vertical line from the total points scale to the predict to obtain the probability of Positive SLNs. Multicentric, multicentric breast cancer; vascular, Lympho vascular invasion; pathology, Histological type; cat_size, Tumor size (mm); prob, probabilistic)

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Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Ugur S, Arıcı C, Yaprak M, Mescı A, Arıcı GA, Dolay K, et al. Risk factors of breast cancer-related lymphedema. Lymphat Res Biol 2013;11:72-5.  Back to cited text no. 1
    
2.
Costa Neto OF, Castro RB, Oliveira CV, Feitosa TV, Alves Júnior JJ, Cavalcante FP, et al. Predictive factors of axillary metastasis in patients with breast cancer and positive sentinel lymph node biopsy. Rev Col Bras Cir 2017;44:391-6.  Back to cited text no. 2
    
3.
Maguire A, Brogi E. Sentinel lymph nodes for breast carcinoma: An update on current practice. Histopathology 2016;68:152-67.  Back to cited text no. 3
    
4.
Amoui M, Akbari ME, Tajeddini A, Nafisi N, Raziei G, Modares SM, et al. Value of sentinel lymph node biopsy in breast cancer surgery with simple pathology facilities – An Iranian local experience with a review of potential causes of false negative results. Asian Pac J Cancer Prev 2012;13:5385-9.  Back to cited text no. 4
    
5.
Lu YF, Goldstein DB, Angrist M, Cavalleri G. Personalized medicine and human genetic diversity. Cold Spring Harb Perspect Med 2014;4:a008581.  Back to cited text no. 5
    
6.
Low SK, Zembutsu H, Nakamura Y. Breast cancer: The translation of big genomic data to cancer precision medicine. Cancer Sci 2018;109:497-506.  Back to cited text no. 6
    
7.
Arnedos M, Vicier C, Loi S, Lefebvre C, Michiels S, Bonnefoi H, et al. Precision medicine for metastatic breast cancer – Limitations and solutions. Nat Rev Clin Oncol 2015;12:693-704.  Back to cited text no. 7
    
8.
Van Zee KJ, Manasseh DM, Bevilacqua JL, Boolbol SK, Fey JV, Tan LK, et al. A nomogram for predicting the likelihood of additional nodal metastases in breast cancer patients with a positive sentinel node biopsy. Ann Surg Oncol 2003;10:1140-51.  Back to cited text no. 8
    
9.
Pal A, Provenzano E, Duffy SW, Pinder SE, Purushotham AD. A model for predicting non-sentinel lymph node metastatic disease when the sentinel lymph node is positive. Br J Surg 2008;95:302-9.  Back to cited text no. 9
    
10.
Kohrt HE, Olshen RA, Bermas HR, Goodson WH, Wood DJ, Henry S, et al. New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients. BMC Cancer 2008;8:66.  Back to cited text no. 10
    
11.
Barranger E, Coutant C, Flahault A, Delpech Y, Darai E, Uzan S. An axilla scoring system to predict non-sentinel lymph node status in breast cancer patients with sentinel lymph node involvement. Breast Cancer Res Treat 2005;91:113-9.  Back to cited text no. 11
    
12.
Hwang RF, Krishnamurthy S, Hunt KK, Mirza N, Ames FC, Feig B, et al. Clinicopathologic factors predicting involvement of nonsentinel axillary nodes in women with breast cancer. Ann Surg Oncol 2003;10:248-54.  Back to cited text no. 12
    
13.
Gradishar WJ, Anderson BO, Balassanian R, Blair SL, Burstein HJ, Cyr A, et al. NCCN guidelines insights: Breast cancer, version 1.2017. J Natl Compr Canc Netw 2017;15:433-51.  Back to cited text no. 13
    
14.
Giuliano AE, Ballman KV, McCall L, Beitsch PD, Brennan MB, Kelemen PR, et al. Effect of axillary dissection vs. no axillary dissection on 10-year overall survival among women with invasive breast cancer and sentinel node metastasis: The ACOSOG Z0011 (Alliance) randomized clinical trial. JAMA 2017;318:918-26.  Back to cited text no. 14
    
15.
Giuliano AE, Ballman K, McCall L, Beitsch P, Whitworth PW, Blumencranz P, et al. Locoregional recurrence after sentinel lymph node dissection with or without axillary dissection in patients with sentinel lymph node metastases: Long-term follow-up from the American college of surgeons oncology group (Alliance) ACOSOG Z0011 randomized trial. Ann Surg 2016;264:413-20.  Back to cited text no. 15
    
16.
Corso G, Galimberti V, Veronesi P. De-escalation treatment of axilla in breast cancer. Clin Transl Oncol 2020;22:445-6.  Back to cited text no. 16
    
17.
Özkurt E, Golshan M. ASO author reflections: De-escalation of breast cancer surgery – A leap forward. Ann Surg Oncol 2019;26 Suppl 3:711-2.  Back to cited text no. 17
    
18.
Durak MG, Akansu B, Akin MM, Sevınç AI, Koçdor MA, Saydam S, et al. Factors predicting non-sentinel lymph node involvement in sentinel node positive breast carcinoma. Turk Patoloji Derg 2011;27:189-95.  Back to cited text no. 18
    
19.
Di Filippo F, Di Filippo S, Ferrari AM, Antonetti R, Battaglia A, Becherini F, et al. Elaboration of a nomogram to predict nonsentinel node status in breast cancer patients with positive sentinel node, intraoperatively assessed with one step nucleic amplification: Retrospective and validation phase. J Exp Clin Cancer Res 2016;35:1-9.  Back to cited text no. 19
    
20.
Wang XY, Wang JT, Guo T, Kong XY, Chen L, Zhai J, et al. Risk factors and a predictive nomogram for non-sentinel lymph node metastases in Chinese breast cancer patients with one or two sentinel lymph node macrometastases and mastectomy. Curr Oncol 2019;26:e210-5.  Back to cited text no. 20
    
21.
Dihge L, Bendahl PO, Rydén L. Nomograms for preoperative prediction of axillary nodal status in breast cancer. Br J Surg 2017;104:1494-505.  Back to cited text no. 21
    
22.
Bevilacqua JL, Kattan MW, Fey JV, Cody HS 3rd, Borgen PI, Van Zee KJ. Doctor, what are my chances of having a positive sentinel node? A validated nomogram for risk estimation. J Clin Oncol 2007;25:3670-9.  Back to cited text no. 22
    
23.
Garcia-Etienne CA, Ferrari A, Della Valle A, Lucioni M, Ferraris E, Di Giulio G, et al. Management of the axilla in patients with breast cancer and positive sentinel lymph node biopsy: An evidence-based update in a European breast center. Eur J Surg Oncol 2020;46:15-23.  Back to cited text no. 23
    
24.
Ji Y, Sheng L, Du X, Qiu G, Chen B, Wang X. Clinicopathological variables predicting HER-2 gene status in immunohistochemistry-equivocal (2+) invasive breast cancer. J Thorac Dis 2014;6:896-904.  Back to cited text no. 24
    


    Figures

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    Tables

  [Table 1], [Table 2], [Table 3]



 

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