Comparison of three standard neoadjuvant chemotherapy regimens based on pathological tumor response in breast cancer patients

被引:0
|
作者
Ali, Jamshed [1 ]
Malik, Iqra [1 ]
Fahad, Muhammad Shah [1 ]
Sajjad, Mashall [1 ]
Rahat, Ayesha [1 ]
Ikram, Shameen [2 ]
Siddiqui, Neelam [3 ]
机构
[1] Shaukat Khanum Mem Canc Hosp & Res Ctr, Dept Med Oncol, Peshawar, Pakistan
[2] Shaukat Khanum Hosp & Trust, Dept Pharm, Peshawar, Pakistan
[3] Shaukat Khanum Mem Canc Hosp & Res Ctr, Dept Med Oncol, Lahore, Pakistan
关键词
Breast cancer; neoadjuvant therapy; trastuzumab; METAANALYSIS; ASSOCIATION; STAGE;
D O I
10.36721/PJPS.2022.35.1.REG.129-133.1
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
We compared the efficacy of different neoadjuvant chemotherapy regimens and pathological factors related to higher pCR in localized breast cancer. This comparative retrospective study included 313 patients with breast carcinoma who received neoadjuvant therapy from January 2017 till July 31, 2019 at our institute. Patients were grouped in 3 different categories according to the treatment arms. In Arm A, patients received dose-dense AC [4 Cycles] followed by dose dense paclitaxel [4 Cycles]. In Arm B, 2 weekly dose dense AC [4 Cycles] followed-by paclitaxel every week [12 Cycles], while Arm C received 3 weekly AC [4 Cycles] and 3 weekly paclitaxel [4 Cycles]. pCR was seen in 135(43.1%) patients with the highest pCR in arm B i-e 33(55%), followed by 39(43.3%) in arm A, and 63(38.6%) in arm C. Triple-negative patients had the highest percentage of pCR 38 (65.5%). HER2 positive patients who received neoadjuvant Trastuzumab also had increased pCR rate of 21 (61.7%). ER/PR positive, HER2 negative patients had the lowest pCR 56 (33.5%). Dose dense AC [4 cycles] followed-by weekly Paclitaxel [12 cycles] is the most effective neoadjuvant therapy regimen for breast cancer patients, particularly if they were also triple negative and HER2 positive receiving Trastuzumab.
引用
收藏
页码:129 / 133
页数:5
相关论文
共 50 条
  • [1] Predictive factors of pathological response to neoadjuvant chemotherapy in patients with breast cancer
    Ryspayeva, Dinara
    Lyashenko, Andrey
    Dosenko, Irina
    Kostryba, Oleksey
    Koshyk, Olena
    Krotevych, Mykhailo
    Smolanka, Ivan
    JOURNAL OF BUON, 2020, 25 (01): : 168 - 175
  • [2] Prediction of pathological response to neoadjuvant chemotherapy in breast cancer patients by imaging
    Kaise, Hiroshi
    Shimizu, Fumika
    Akazawa, Kohei
    Hasegawa, Yoshie
    Horiguchi, Jun
    Miura, Daishu
    Kohno, Norio
    Ishikawa, Takashi
    JOURNAL OF SURGICAL RESEARCH, 2018, 225 : 175 - 180
  • [3] Clinical and pathological response to neoadjuvant chemotherapy with different chemotherapy regimens predicts the outcome of locally advanced breast cancer
    Tang, Shicong
    Wang, Ke
    Zheng, Kai
    Liu, Jiadong
    Zhang, Hengyu
    Tan, Mingjian
    Li, Hongwan
    Li, Huimeng
    Tan, Xin
    Liu, Dequan
    Guo, Rong
    GLAND SURGERY, 2020, 9 (05) : 1415 - +
  • [4] Recurrence and survival among breast cancer patients achieving a pathological complete response to neoadjuvant chemotherapy
    Chaudry, Misbat
    Lei, Xiudong
    Gonzalez-Angulo, Ana M.
    Mittendorf, Elizabeth A.
    Valero, Vicente
    Tripathy, Debu
    Hortobagyi, Gabriel N.
    Chavez-MacGregor, Mariana
    BREAST CANCER RESEARCH AND TREATMENT, 2015, 153 (02) : 417 - 423
  • [5] Pathological complete response in breast cancer patients receiving neoadjuvant chemotherapy
    Montemurro, Filippo
    Di Cosimo, Serena
    BREAST, 2014, 23 (05) : 690 - 691
  • [6] Pathological Complete Response Patients after Neoadjuvant Chemotherapy in Breast Cancer
    Takaoka, Megumi
    Ohsumi, Shozo
    Ikejiri, Haruka
    Shidahara, Tomohiro
    Miyoshi, Yuichiro
    Takahashi, Mina
    Takashima, Seiki
    Aogi, Kenjiro
    ACTA MEDICA OKAYAMA, 2022, 76 (02) : 105 - 111
  • [7] Clinical and pathological predictors of recurrence in breast cancer patients achieving pathological complete response to neoadjuvant chemotherapy
    Asaoka, Mariko
    Narui, Kazutaka
    Suganuma, Nobuyasu
    Chishima, Takashi
    Yamada, Akimitsu
    Sugae, Sadatoshi
    Kawai, Saori
    Uenaka, Natsuki
    Teraoka, Saeko
    Miyahara, Kana
    Kawate, Takahiko
    Sato, Eichi
    Nagao, Toshitaka
    Matsubara, Yuka
    Gandhi, Shipra
    Takabe, Kazuaki
    Ishikawa, Takashi
    EJSO, 2019, 45 (12): : 2289 - 2294
  • [8] Change in microcalcifications on mammography after neoadjuvant chemotherapy in breast cancer patients: correlation with tumor response grade and comparison with lesion extent
    Yim, Hyunee
    Ha, Taeyang
    Kang, Doo Kyoung
    Park, Seong Young
    Jung, Yongsik
    Kim, Tae Hee
    ACTA RADIOLOGICA, 2019, 60 (02) : 131 - 139
  • [9] Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data
    Gao, Ting
    Hao, Yaguang
    Zhang, Haipeng
    Hu, Lina
    Li, Hongzhi
    Li, Hui
    Hu, LiHong
    Han, Bing
    PERSONAL AND UBIQUITOUS COMPUTING, 2018, 22 (5-6) : 1039 - 1047
  • [10] Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data
    Ting Gao
    Yaguang Hao
    Haipeng Zhang
    Lina Hu
    Hongzhi Li
    Hui Li
    LiHong Hu
    Bing Han
    Personal and Ubiquitous Computing, 2018, 22 : 1039 - 1047