title: Predicting the likelihood of nonsentinel lymph node metastases in triple negative breast cancer patients with a positive sentinel lymph node: Turkish Federation of Breast Disease Associations protocol MF09-01.
abstract: BACKGROUND
  Triple negative (TN) tumor has a relatively high rate of recurrence and distant metastasis, but results of studies revealed that triple positive tumor is an independent predictor of axillary lymph node involvement. Our aim was to evaluate the frequency of nonsentinel lymph node metastasis (NSLNM) involvement in operable TN breast cancer with positive sentinel lymph node (SLN) and predicting the likelihood of NSLNM in this cohort of patients by using 4 different nomograms.
  
  
  METHODS
  A total of 128 patients with TN and SLN(+) underwent complete axillary lymph node dissection in 14 different centers in Turkey. For comparison, we used our previous multicenter MF08-01 Protocol, which identified 441 patients with estrogen receptor (ER(+)) who had a positive SLN biopsy and underwent subsequent complete axillary lymph node dissection. Turkish, Cambridge, and Stanford nomograms and the Tenon Score system were used to calculate the probability of NSLNM.
  
  
  RESULTS
  Patients with TN tumor had a larger tumor size. The actual percentage of NSLN positivity was 41% in the TN group and 47.1% in patient with ER(+). The Tenon Score was ≤3.5 in 12% of patients with TN and ER(+); the area under the curve in the receiver operating characteristics curve were 0.53 and 0.59, respectively. Based on the Turkish, Cambridge, and Stanford nomograms, areas under the curve were 0.54, 0.53, and 0.61, respectively in patients with TN, and were 0.79, 0.72, and 0.70, respectively, in patients with ER(+).
  
  
  CONCLUSIONS
  Using the Tenon Score system underestimates NSLN positivity, and tested nomograms are not good discriminators of NSLNM in patients with TN and positive SLN.
authors: Department of General Surgery, Adnan Menderes University, Aydin, Turkey. sozbas@yahoo.com
authors: Serdar
authors: S
authors: Ozbas
authors: Vahit
authors: V
authors: Ozmen
authors: Abdullah
authors: A
authors: Igci
authors: Mahmut
authors: M
authors: Muslumanoglu
authors: Beyza
authors: B
authors: Ozcinar
authors: Mujdat
authors: M
authors: Balkan
authors: Fatih
authors: F
authors: Aydogan
authors: Tulay
authors: T
authors: Canda
authors: Omer
authors: O
authors: Harmancioglu
authors: Erol
authors: E
authors: Aksaz
authors: Bahadir M
authors: BM
authors: Gulluoglu
authors: Munire
authors: M
authors: Kayahan
authors: Cihangir
authors: C
authors: Ozaslan
authors: N Zafer
authors: NZ
authors: Canturk
authors: Hakan
authors: H
authors: Mersin
authors: Zafer
authors: Z
authors: Utkan
authors: Savas
authors: S
authors: Kocak
authors: Nalan
authors: N
authors: Ulufi
authors: Ayfer Kamali
authors: AK
authors: Polat
authors: Oya
authors: O
authors: Andacoglu
authors: Atilla
authors: A
authors: Soran
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000737:chemistry / Q000473:pathology* / Q000601:surgery; D005260:Female; D006801:Humans; D008197:Lymph Node Excision; D008207:Lymphatic Metastasis; D008875:Middle Aged; D011237:Predictive Value of Tests; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000032:analysis; D011960:Receptors, Estrogen / Q000032:analysis; D011980:Receptors, Progesterone / Q000032:analysis; D012189:Retrospective Studies; D021701:Sentinel Lymph Node Biopsy; D014421:Turkey; D055815:Young Adult
chemical_list: D018719:Erb-b2 Receptor Tyrosine Kinases; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone