Literature DB >> 30126858

Monitoring Serum VEGF in Neoadjuvant Chemotherapy for Patients with Triple-Negative Breast Cancer: A New Strategy for Early Prediction of Treatment Response and Patient Survival.

Ruo-Xi Wang1,2, Sheng Chen1,2, Liang Huang1,2, Ying Zhou1,2, Zhi-Ming Shao3,2,4.   

Abstract

BACKGROUND: This study aimed to investigate the clinical utility of serum biomarker changes during neoadjuvant chemotherapy (NAC) for triple-negative breast cancer (TNBC).
METHODS: A total of 303 patients with TNBC were included in this study. Serum samples were taken at three time points during NAC: baseline, prior to the third cycle, and prior to surgery. Luminex multibiomarker panel for 29 serum biomarkers was used to detect their correlation with NAC response. The predictive and prognostic value of each selected biomarker was then studied.
RESULTS: Vascular endothelial growth factor (VEGF) was the only biomarker that correlated with treatment response, with a decreasing trend in pCR patients relative to non-pCR patients (p < .001). Univariable and multivariable analyses revealed that the relative change in VEGF prior to the third cycle of NAC had a remarkable predictive value for both pCR and pathological nonresponse with high sensitivity and specificity. VEGF was also independently correlated with disease-free survival.
CONCLUSION: Our findings indicate that monitoring serum VEGF could help identify patients with different responses at an early time point of NAC and at varying risk of disease relapse. Serum VEGF may also serve as an alternative to traditional response-evaluating methodologies in tailoring and modifying the NAC strategy for both operable and advanced TNBCs. IMPLICATIONS FOR PRACTICE: Neoadjuvant chemotherapy (NAC) followed by definitive surgery is a standard of care for locally advanced breast cancer. The identification of sensitive responders to neoadjuvant therapy is highly significant for breast cancer, especially triple-negative breast cancer (TNBC). Results of this study indicate that the monitoring of serum vascular endothelial growth factor (VEGF) could identify patients with favorable or poor responses at an early time point of NAC. Furthermore, the prediction power of VEGF was better than traditional response-evaluating methods. VEGF might serve as a complement or alternative to traditional imaging-based response-evaluating methodologies in tailoring systemic treatment strategies for both operable and advanced TNBCs. © AlphaMed Press 2018.

Entities:  

Keywords:  Neoadjuvant chemotherapy; Pathological response; Triple‐negative breast cancer; VEGF

Year:  2018        PMID: 30126858      PMCID: PMC6656497          DOI: 10.1634/theoncologist.2017-0602

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  30 in total

1.  Resting and activated endothelial cells are increased in the peripheral blood of cancer patients.

Authors:  P Mancuso; A Burlini; G Pruneri; A Goldhirsch; G Martinelli; F Bertolini
Journal:  Blood       Date:  2001-06-01       Impact factor: 22.113

Review 2.  Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients.

Authors:  Xiangnan Kong; Meena S Moran; Ning Zhang; Bruce Haffty; Qifeng Yang
Journal:  Eur J Cancer       Date:  2011-07-05       Impact factor: 9.162

Review 3.  Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy.

Authors:  Michael L Marinovich; Nehmat Houssami; Petra Macaskill; Francesco Sardanelli; Les Irwig; Eleftherios P Mamounas; Gunter von Minckwitz; Meagan E Brennan; Stefano Ciatto
Journal:  J Natl Cancer Inst       Date:  2013-01-07       Impact factor: 13.506

4.  Weekly paclitaxel plus carboplatin is an effective nonanthracycline-containing regimen as neoadjuvant chemotherapy for breast cancer.

Authors:  X S Chen; X Q Nie; C M Chen; J Y Wu; J Wu; J S Lu; Z M Shao; Z Z Shen; K W Shen
Journal:  Ann Oncol       Date:  2010-03-08       Impact factor: 32.976

5.  The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes.

Authors:  Lisa A Carey; E Claire Dees; Lynda Sawyer; Lisa Gatti; Dominic T Moore; Frances Collichio; David W Ollila; Carolyn I Sartor; Mark L Graham; Charles M Perou
Journal:  Clin Cancer Res       Date:  2007-04-15       Impact factor: 12.531

6.  Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer.

Authors:  Yuji Hayashi; Hiroyuki Takei; Satoshi Nozu; Yoshihiro Tochigi; Akihiro Ichikawa; Naoki Kobayashi; Masafumi Kurosumi; Kenichi Inoue; Takashi Yoshida; Shigenori E Nagai; Hanako Oba; Toshio Tabei; Jun Horiguchi; Izumi Takeyoshi
Journal:  Oncol Lett       Date:  2012-10-30       Impact factor: 2.967

7.  Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.

Authors:  Jared A Weis; Michael I Miga; Lori R Arlinghaus; Xia Li; Vandana Abramson; A Bapsi Chakravarthy; Praveen Pendyala; Thomas E Yankeelov
Journal:  Cancer Res       Date:  2015-09-02       Impact factor: 12.701

8.  Clinical significance of Ki-67 in neoadjuvant chemotherapy for primary breast cancer as a predictor for chemosensitivity and for prognosis.

Authors:  Reiki Nishimura; Tomofumi Osako; Yasuhiro Okumura; Mitsuhiro Hayashi; Nobuyuki Arima
Journal:  Breast Cancer       Date:  2010-10       Impact factor: 4.239

9.  Serum biomarker profiles and response to neoadjuvant chemotherapy for locally advanced breast cancer.

Authors:  Brian M Nolen; Jeffrey R Marks; Shlomo Ta'san; Alex Rand; The Minh Luong; Yun Wang; Kimberly Blackwell; Anna E Lokshin
Journal:  Breast Cancer Res       Date:  2008-05-12       Impact factor: 6.466

10.  Ki-67 as a predictor of response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Kwan Il Kim; Kyung Hee Lee; Tae Ryung Kim; Yong Soon Chun; Tae Hoon Lee; Heung Kyu Park
Journal:  J Breast Cancer       Date:  2014-03-28       Impact factor: 3.588

View more
  8 in total

1.  High-background parenchymal enhancement in the contralateral breast is an imaging biomarker for favorable prognosis in patients with triple-negative breast cancer treated with chemotherapy.

Authors:  Chuanhui Xu; Jinhui Yu; Feifei Wu; Xuemei Li; Dongmin Hu; Guiming Chen; Gang Wu
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

2.  Serum Levels of Stromal Cell-Derived Factor-1α and Vascular Endothelial Growth Factor Predict Clinical Outcomes in Head and Neck Squamous Cell Carcinoma Patients Receiving TPF Induction Chemotherapy.

Authors:  Yen-Hao Chen; Chih-Yen Chien; Yu-Ming Wang; Shau-Hsuan Li
Journal:  Biomedicines       Date:  2022-03-29

Review 3.  Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review.

Authors:  Weilin Xu; Xiu Chen; Fei Deng; Jian Zhang; Wei Zhang; Jinhai Tang
Journal:  Onco Targets Ther       Date:  2020-06-22       Impact factor: 4.147

4.  Association between the methylation status of PCDH17 and the efficacy of neoadjuvant chemotherapy in triple-negative breast cancer.

Authors:  De-Di Kong; Rong-Zhan Fu; Liang Li; Wei Wang; Shi-Bing Wang
Journal:  Oncol Lett       Date:  2020-06-16       Impact factor: 2.967

5.  Diagnostic Value of VEGF-A, VEGFR-1 and VEGFR-2 in Feline Mammary Carcinoma.

Authors:  Catarina Nascimento; Andreia Gameiro; João Ferreira; Jorge Correia; Fernando Ferreira
Journal:  Cancers (Basel)       Date:  2021-01-01       Impact factor: 6.639

Review 6.  Therapeutic Potential of Thymoquinone in Triple-Negative Breast Cancer Prevention and Progression through the Modulation of the Tumor Microenvironment.

Authors:  Getinet M Adinew; Equar Taka; Bereket Mochona; Ramesh B Badisa; Elizabeth A Mazzio; Rashid Elhag; Karam F A Soliman
Journal:  Nutrients       Date:  2021-12-25       Impact factor: 5.717

Review 7.  Circulating proteins as predictive and prognostic biomarkers in breast cancer.

Authors:  Yannick Bidet; Nina Radosevic-Robin; Xavier Durando; Hugo Veyssière; Frederique Penault-Llorca
Journal:  Clin Proteomics       Date:  2022-07-11       Impact factor: 5.000

Review 8.  Triple-negative breast cancer: new treatment strategies in the era of precision medicine.

Authors:  Song-Yang Wu; Hai Wang; Zhi-Ming Shao; Yi-Zhou Jiang
Journal:  Sci China Life Sci       Date:  2020-08-11       Impact factor: 6.038

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.