Assessment of the Predictive Role of Ki-67 in Breast Cancer Patients Responses to Neoadjuvant Chemotherapy

被引:0
|
作者
Rais, Ghizlane [1 ]
Mokfi, Rania [2 ]
Boutaggount, Farah [2 ]
Maskrout, Meryem [2 ]
Bennour, Soundouss [2 ]
Senoussi, Chaymae [2 ]
Rais, Fadoua [3 ]
机构
[1] Univ Ibn Zohr Agadir, Dept Med Oncol, Fac Med & Pharm Agadir, Biomed Lab,CHU Souss Massa, Agadir, Morocco
[2] Univ Ibn Zohr Agadir, Dept Med Oncol, Fac Med & Pharm Agadir, CHU Souss Massa, Agadir, Morocco
[3] Univ Hosp Ctr Montreal, Dept Radiat Therapy, Montreal, PQ, Canada
关键词
Breast cancer; Ki-67; neoadjuvant chemotherapy; PATHOLOGICAL COMPLETE RESPONSE; INTERNATIONAL KI67; PROLIFERATION; PROGNOSIS; GRADE;
D O I
10.4274/ejbh.galenos.2024.2024-3-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Neoadjuvant chemotherapy (NAC) in breast cancer (BC) is being considered for a broader range of cases, including locally advanced tumors and situations where downstaging could reduce extensive surgery. Several trials have explored predictive markers of pathological complete response (pCR). The role of Ki-67 as a predictor of pCR has been demonstrated in studies. However, the cut-off remains vague, given the lack of standardization of measurement methods. The aim of our study was to evaluate the predictive value of Ki-67 in response to NAC and to identify the cut-off values that exhibit the strongest correlation with best response. Materials and Methods: This retrospective study included 187 patients who had undergone surgery following NAC for BC at the CHU Souss Massa of Agadir between January 2020 and January 2023. Logistic regression was used to assess the correlation between Ki-67 and patients' characteristics. Optimal Ki-67 cutoff was identified by receiver operating characteristic curve. Kaplan-Meier curves were used to assess disease-free survival (DFS), and survival comparisons were assessed with the log-rank test. Results: The median age was 51.8 +/- 10.7 years and 51.4% of tumors were smaller than 5 cm. Node invasion was found in 55.4%. Luminal B subtype was found in 49.7%, followed by human epidermal growth factor receptor-2 (HER-2)-positive in 27.4%, triple-negative in 14.3% and Luminal A in 8.6%. pCR occurred in 40% of patients overall. Subgroup analysis revealed a significant association between pCR and tumor size (p<0.001), lymph node involvement (p<0.001), grade 2 (p<0.001), vascular invasion (p<0.001), and positive HER-2 status (p = 0.022). In statistical analysis, pathological responses were improved in patients with Ki-67 >35% (p<0.001). DFS was 98.8% at 12 months. No statistical difference was found in DFS according to Ki-67 values and pCR status. Conclusion: Our results indicate that Ki-67 is a predictive marker for response in the neoadjuvant setting in BC patients. Our study showed that a Ki-67 cut-off >35% predicts a better pCR rate in response to NAC. However, this cutoff value remains controversial due to the absence of a standard method of measurement, with inter- and intra-observer variability. It would be necessary to validate this cutoff in other studies.
引用
收藏
页码:199 / 206
页数:8
相关论文
共 50 条
  • [1] Assessment of the predictive role of pretreatment Ki-67 and Ki-67 changes in breast cancer patients receiving neoadjuvant chemotherapy according to the molecular classification: a retrospective study of 1010 patients
    Chen, Rui
    Ye, Yin
    Yang, Chengcheng
    Peng, Yang
    Zong, Beige
    Qu, Fanli
    Tang, Zhenrong
    Wang, Yihua
    Su, Xinliang
    Li, Hongyuan
    Yang, Guanglun
    Liu, Shengchun
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2018, 170 (01) : 35 - 43
  • [2] Assessment of the predictive role of pretreatment Ki-67 and Ki-67 changes in breast cancer patients receiving neoadjuvant chemotherapy according to the molecular classification: a retrospective study of 1010 patients
    Rui Chen
    Yin Ye
    Chengcheng Yang
    Yang Peng
    Beige Zong
    Fanli Qu
    Zhenrong Tang
    Yihua Wang
    Xinliang Su
    Hongyuan Li
    Guanglun Yang
    Shengchun Liu
    [J]. Breast Cancer Research and Treatment, 2018, 170 : 35 - 43
  • [3] Quantitative Ki-67 score as predictive of response to neoadjuvant chemotherapy in breast cancer
    Brown, Jason R.
    Lannin, Donald R.
    Killelea, Brigid K.
    DiGiovanna, Michael
    Rimm, David
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (15)
  • [4] Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy
    Acs, Balazs
    Zambo, Veronika
    Vizkeleti, Laura
    Szazs, A. Marcell
    Madaras, Lilla
    Szentmartoni, Gyongyver
    Tokes, Timea
    Molnar, Bela A.
    Molnar, Istvan Artur
    Vari-Kakas, Stefan
    Kulka, Janina
    Tokes, Anna-Maria
    [J]. DIAGNOSTIC PATHOLOGY, 2017, 12 : 1 - 12
  • [5] Ki-67 CAN BE USED AS A PREDICTIVE FACTOR FOR THE EFFECTIVENESS OF NEOADJUVANT CHEMOTHERAPY IN BREAST CANCER PATIENTS
    Kozar, N.
    Sikosek, N. Cas
    Arko, D.
    Ravnik, M.
    Takac, I.
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2017, 27 : 115 - 115
  • [6] Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy
    Balázs Ács
    Veronika Zámbó
    Laura Vízkeleti
    A. Marcell Szász
    Lilla Madaras
    Gyöngyvér Szentmártoni
    Tímea Tőkés
    Béla Á. Molnár
    István Artúr Molnár
    Stefan Vári-Kakas
    Janina Kulka
    Anna-Mária Tőkés
    [J]. Diagnostic Pathology, 12
  • [7] KI-67 CAN BE USED AS A PREDICTIVE FACTOR FOR THE EFFECTIVENESS OF NEOADJUVANT CHEMOTHERAPY IN BREAST CANCER PATIENTS
    Kozar, N.
    Sikosek, N. Cas
    Arko, D.
    Ravnik, M.
    Takac, I.
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2017, 27 : 635 - 635
  • [8] Ki-67 as a Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancer Patients
    Kim, Kwan Il
    Lee, Kyung Hee
    Kim, Tae Ryung
    Chun, Yong Soon
    Lee, Tae Hoon
    Park, Heung Kyu
    [J]. JOURNAL OF BREAST CANCER, 2014, 17 (01) : 40 - 46
  • [9] Can Ki-67 Play a Role in Prediction of Breast Cancer Patients' Response to Neoadjuvant Chemotherapy?
    Ingolf, Juhasz-Boss
    Russalina, Mavrova
    Simona, Moga
    Julia, Radosa
    Gilda, Schmidt
    Bohle, Rainer M.
    Andrea, Hasenfus
    Erich, Solomayer
    Daniel, Herr
    [J]. BIOMED RESEARCH INTERNATIONAL, 2014, 2014
  • [10] Ki-67 as predictor of chemotherapy response in neoadjuvant chemotherapy for breast cancer
    Mishra, A. K.
    Kapoor, A.
    Tewari, S.
    Gond, S.
    Kumar, R.
    [J]. BREAST, 2015, 24 : S90 - S90