Literature DB >> 26823602

Angiogenesis- and Hypoxia-Associated Proteins as Early Indicators of the Outcome in Patients with Metastatic Breast Cancer Given First-Line Bevacizumab-Based Therapy.

Siu W Lam1, Nienke M Nota1, Agnes Jager2, Monique M E M Bos3, Joan van den Bosch4, Ankie M T van der Velden5, Johanneke E A Portielje6, Aafke H Honkoop7, Harm van Tinteren8, Epie Boven9.   

Abstract

PURPOSE: We examined whether pretreatment levels of angiogenesis- or hypoxia-related proteins and their changes after one cycle of first-line bevacizumab-based therapy were associated with response, PFS, or OS in patients with metastatic breast cancer. EXPERIMENTAL
DESIGN: We included 181 patients enrolled in the phase II ATX trial evaluating first-line paclitaxel and bevacizumab without or with capecitabine (NTR1348). Plasma samples were analyzed for VEGF-A, soluble VEGFR2 (sVEGFR2), angiopoietin 2 (ANG2), soluble TIE2 (sTIE2), IL6, IL8, and carbonic anhydrase 9 (CA9). Baseline serum CA15-3 was documented. HR was adjusted for confounding factors. Where appropriate, an optimal cut-off value defining a high and a low group was determined with Martingale residuals.
RESULTS: At baseline, multiple proteins were significantly associated with PFS (ANG2, IL6, IL8, CA9, CA15-3) and OS (ANG2, sTIE2, IL6, IL8, CA9, CA15-3). After one cycle, VEGF-A, ANG2, sTIE2, and IL8 significantly decreased, while sVEGFR2 and CA9 significantly increased. The relative change in sVEGFR2 (P= 0.01) and IL8 (P= 0.001) was associated with response. Defining optimal cut-off, patients with a high CA9 rise (>2.9%) had better PFS (HR 0.45) and OS (HR 0.54) than those with low/no rise.
CONCLUSIONS: Multiple angiogenesis- or hypoxia-related proteins were prognostic for PFS and OS. Molecular agents targeting these proteins might be beneficial in patients with high levels. Changes in IL8 or sVEGFR2 levels at second cycle appear predictive for response. Changes in CA9 levels during bevacizumab-based therapy for prediction of PFS and OS merit further study. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26823602     DOI: 10.1158/1078-0432.CCR-15-1005

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  11 in total

1.  Three dimensional engineered models to study hypoxia biology in breast cancer.

Authors:  Vaishali Aggarwal; Oshin Miranda; Paul A Johnston; Shilpa Sant
Journal:  Cancer Lett       Date:  2020-06-20       Impact factor: 8.679

2.  Capecitabine for hormone receptor-positive versus hormone receptor-negative breast cancer.

Authors:  Siao-Nge Hoon; Peter Kh Lau; Alison M White; Max K Bulsara; Patricia D Banks; Andrew D Redfern
Journal:  Cochrane Database Syst Rev       Date:  2021-05-26

Review 3.  Cancer and the metastatic substrate.

Authors:  Francisco Arvelo; Felipe Sojo; Carlos Cotte
Journal:  Ecancermedicalscience       Date:  2016-12-08

4.  Optoacoustics delineates murine breast cancer models displaying angiogenesis and vascular mimicry.

Authors:  Isabel Quiros-Gonzalez; Michal R Tomaszewski; Sarah J Aitken; Laura Ansel-Bollepalli; Leigh-Ann McDuffus; Michael Gill; Lina Hacker; Joanna Brunker; Sarah E Bohndiek
Journal:  Br J Cancer       Date:  2018-03-26       Impact factor: 7.640

5.  IL-8 and thrombospondin-1 as prognostic markers in patients with metastatic colorectal cancer receiving bevacizumab.

Authors:  Giorgia Marisi; Emanuela Scarpi; Alessandro Passardi; Oriana Nanni; Flavia Pagan; Martina Valgiusti; Andrea Casadei Gardini; Luca Maria Neri; Giovanni Luca Frassineti; Dino Amadori; Paola Ulivi
Journal:  Cancer Manag Res       Date:  2018-11-14       Impact factor: 3.989

6.  Early Changes in Circulating FGF19 and Ang-2 Levels as Possible Predictive Biomarkers of Clinical Response to Lenvatinib Therapy in Hepatocellular Carcinoma.

Authors:  Makoto Chuma; Haruki Uojima; Kazushi Numata; Hisashi Hidaka; Hidenori Toyoda; Atsushi Hiraoka; Toshifumi Tada; Shunji Hirose; Masanori Atsukawa; Norio Itokawa; Taeang Arai; Makoto Kako; Takahide Nakazawa; Naohisa Wada; Shuitirou Iwasaki; Yuki Miura; Satoshi Hishiki; Shuhei Nishigori; Manabu Morimoto; Nobuhiro Hattori; Katsuaki Ogushi; Akito Nozaki; Hiroyuki Fukuda; Tatehiro Kagawa; Kojiro Michitaka; Takashi Kumada; Shin Maeda
Journal:  Cancers (Basel)       Date:  2020-01-26       Impact factor: 6.639

7.  Hypoxic environment may enhance migration/penetration of endocrine resistant MCF7- derived breast cancer cells through monolayers of other non-invasive cancer cells in vitro.

Authors:  Nora H Barrak; Maitham A Khajah; Yunus A Luqmani
Journal:  Sci Rep       Date:  2020-01-24       Impact factor: 4.379

8.  A Novel Model Incorporating Tumor Stiffness, Blood Flow Characteristics, and Ki-67 Expression to Predict Responses After Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Jing Zhang; Song Gao; Qiaojin Zheng; Ye Kang; Jianyi Li; Shuo Zhang; Cong Shang; Xueying Tan; Weidong Ren; Yan Ma
Journal:  Front Oncol       Date:  2020-12-08       Impact factor: 6.244

Review 9.  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

10.  Exploration of potential prognostic biomarkers in aflibercept plus FOLFIRI in Japanese patients with metastatic colorectal cancer.

Authors:  Tetsuya Hamaguchi; Tadamichi Denda; Toshihiro Kudo; Naotoshi Sugimoto; Takashi Ura; Kentaro Yamazaki; Hirofumi Fujii; Takeshi Kajiwara; Takako Eguchi Nakajima; Shin Takahashi; Satoshi Otsu; Yoshito Komatsu; Fumio Nagashima; Toshikazu Moriwaki; Taito Esaki; Takeo Sato; Michio Itabashi; Eiji Oki; Toru Sasaki; Marielle Chiron; Takayuki Yoshino
Journal:  Cancer Sci       Date:  2019-10-21       Impact factor: 6.716

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