Literature DB >> 20231683

Predictors of tumor progression during neoadjuvant chemotherapy in breast cancer.

Abigail S Caudle1, Ana M Gonzalez-Angulo, Kelly K Hunt, Ping Liu, Lajos Pusztai, W Fraser Symmans, Henry M Kuerer, Elizabeth A Mittendorf, Gabriel N Hortobagyi, Funda Meric-Bernstam.   

Abstract

PURPOSE Although most breast cancer patients who receive neoadjuvant chemotherapy (NCT) have a tumor response, a small proportion experience progressive disease (PD). Predictors of response have been reported, but predictors for progression have not been identified. We sought to identify predictors of tumor progression during NCT with the ultimate aim of identifying patients who might benefit from a first-line surgical approach or from novel targeted therapies. PATIENTS AND METHODS Data were obtained from reviewing medical records of patients with stage I to III breast cancer who received NCT (anthracycline and/or taxane based). Statistical analysis was performed to compare patients with any response or stable disease with patients with PD. RESULTS One thousand nine hundred twenty-eight patients received NCT; 1,762 patients (91%) had some response, 107 (6%) had stable disease, and 59 (3%) had PD at some point during NCT. Factors predictive of PD included African American race (P = .002), tumor (T) status (P = .002), and American Joint Committee on Cancer clinical stage (P = .02). Histopathologic features of PD were high tumor grade (P = .005), high Ki-67 score (P = .002), and negative estrogen receptor (ER)/progesterone receptor (PR) status (P < .001/P < .001). Pre-NCT T status, race, and ER status were independent predictors of progression in multivariate analysis. Disease progression was a negative predictor of distant disease-free survival and overall survival in multivariate analysis (P < .001). CONCLUSION Factors predictive of PD include race, advanced tumor stage, high nuclear grade, high Ki-67 score, and ER/PR negativity. Because many of these variables are also associated with response to NCT, novel molecular predictors are needed to identify patients at risk for progression on standard NCT.

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Year:  2010        PMID: 20231683      PMCID: PMC2860366          DOI: 10.1200/JCO.2009.25.3286

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  28 in total

1.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

2.  Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy.

Authors:  H M Kuerer; L A Newman; T L Smith; F C Ames; K K Hunt; K Dhingra; R L Theriault; G Singh; S M Binkley; N Sneige; T A Buchholz; M I Ross; M D McNeese; A U Buzdar; G N Hortobagyi; S E Singletary
Journal:  J Clin Oncol       Date:  1999-02       Impact factor: 44.544

3.  Significantly higher pathologic complete remission rate after neoadjuvant therapy with trastuzumab, paclitaxel, and epirubicin chemotherapy: results of a randomized trial in human epidermal growth factor receptor 2-positive operable breast cancer.

Authors:  Aman U Buzdar; Nuhad K Ibrahim; Deborah Francis; Daniel J Booser; Eva S Thomas; Richard L Theriault; Lajos Pusztai; Marjorie C Green; Banu K Arun; Sharon H Giordano; Massimo Cristofanilli; Debra K Frye; Terry L Smith; Kelly K Hunt; Sonja E Singletary; Aysegul A Sahin; Michael S Ewer; Thomas A Buchholz; Donald Berry; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2005-02-28       Impact factor: 44.544

4.  Incidence and impact of documented eradication of breast cancer axillary lymph node metastases before surgery in patients treated with neoadjuvant chemotherapy.

Authors:  H M Kuerer; A A Sahin; K K Hunt; L A Newman; T M Breslin; F C Ames; M I Ross; A U Buzdar; G N Hortobagyi; S E Singletary
Journal:  Ann Surg       Date:  1999-07       Impact factor: 12.969

5.  Race, socioeconomic status, and breast cancer treatment and survival.

Authors:  Cathy J Bradley; Charles W Given; Caralee Roberts
Journal:  J Natl Cancer Inst       Date:  2002-04-03       Impact factor: 13.506

6.  Effect of preoperative chemotherapy on the outcome of women with operable breast cancer.

Authors:  B Fisher; J Bryant; N Wolmark; E Mamounas; A Brown; E R Fisher; D L Wickerham; M Begovic; A DeCillis; A Robidoux; R G Margolese; A B Cruz; J L Hoehn; A W Lees; N V Dimitrov; H D Bear
Journal:  J Clin Oncol       Date:  1998-08       Impact factor: 44.544

7.  The relation between health insurance coverage and clinical outcomes among women with breast cancer.

Authors:  J Z Ayanian; B A Kohler; T Abe; A M Epstein
Journal:  N Engl J Med       Date:  1993-07-29       Impact factor: 91.245

8.  Triple receptor-negative breast cancer: the effect of race on response to primary systemic treatment and survival outcomes.

Authors:  Shaheenah Dawood; Kristine Broglio; Shu-Wan Kau; Marjorie C Green; Sharon H Giordano; Funda Meric-Bernstam; Thomas A Buchholz; Constance Albarracin; Wei T Yang; Bryan T J Hennessy; Gabriel N Hortobagyi; Ana Maria Gonzalez-Angulo
Journal:  J Clin Oncol       Date:  2008-12-01       Impact factor: 44.544

9.  Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer.

Authors:  Jenny C Chang; Eric C Wooten; Anna Tsimelzon; Susan G Hilsenbeck; M Carolina Gutierrez; Richard Elledge; Syed Mohsin; C Kent Osborne; Gary C Chamness; D Craig Allred; Peter O'Connell
Journal:  Lancet       Date:  2003-08-02       Impact factor: 79.321

10.  Breast cancer response to neoadjuvant chemotherapy: predictive markers and relation with outcome.

Authors:  I F Faneyte; J G Schrama; J L Peterse; P L Remijnse; S Rodenhuis; M J van de Vijver
Journal:  Br J Cancer       Date:  2003-02-10       Impact factor: 7.640

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  52 in total

1.  Predictive factors of pathologic complete response and clinical tumor progression after preoperative chemotherapy in patients with stage II and III breast cancer.

Authors:  Jae-Heon Jeong; So-Youn Jung; In Hae Park; Keun Seok Lee; Han-Sung Kang; Seok Won Kim; Youngmee Kwon; Eun A Kim; Kyung Lan Ko; Byung-Ho Nam; Seeyoun Lee; Jungsil Ro
Journal:  Invest New Drugs       Date:  2010-10-05       Impact factor: 3.850

2.  18F-fluorodeoxyglucose positron emission tomography optimizes neoadjuvant chemotherapy for primary breast cancer to achieve pathological complete response.

Authors:  Shigeto Ueda; Toshiaki Saeki; Takashi Shigekawa; Jiro Omata; Tomoyuki Moriya; Junji Yamamoto; Akihiko Osaki; Nobuko Fujiuchi; Misono Misumi; Hideki Takeuchi; Takaki Sakurai; Hitoshi Tsuda; Katsumi Tamura; Jiro Ishida; Yoshiyuki Abe; Etsuko Imabayashi; Ichiei Kuji; Hiroshi Matsuda
Journal:  Int J Clin Oncol       Date:  2011-08-10       Impact factor: 3.402

3.  Pathologic complete response predicts recurrence-free survival more effectively by cancer subset: results from the I-SPY 1 TRIAL--CALGB 150007/150012, ACRIN 6657.

Authors:  Laura J Esserman; Donald A Berry; Angela DeMichele; Lisa Carey; Sarah E Davis; Meredith Buxton; Cliff Hudis; Joe W Gray; Charles Perou; Christina Yau; Chad Livasy; Helen Krontiras; Leslie Montgomery; Debasish Tripathy; Constance Lehman; Minetta C Liu; Olufunmilayo I Olopade; Hope S Rugo; John T Carpenter; Lynn Dressler; David Chhieng; Baljit Singh; Carolyn Mies; Joseph Rabban; Yunn-Yi Chen; Dilip Giri; Laura van 't Veer; Nola Hylton
Journal:  J Clin Oncol       Date:  2012-05-29       Impact factor: 44.544

Review 4.  Diffuse optical imaging using spatially and temporally modulated light.

Authors:  Thomas D O'Sullivan; Albert E Cerussi; David J Cuccia; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

5.  18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Panli Li; Xiuying Wang; Chongrui Xu; Cheng Liu; Chaojie Zheng; Michael J Fulham; Dagan Feng; Lisheng Wang; Shaoli Song; Gang Huang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-25       Impact factor: 9.236

6.  Prognostic value of Ki-67 expression in conversion therapy for colorectal liver-limited metastases.

Authors:  Hiromitsu Hayashi; Toru Beppu; Yasuo Sakamoto; Yuji Miyamoto; Naomi Yokoyama; Takaaki Higashi; Hidetoshi Nitta; Daisuke Hashimoto; Akira Chikamoto; Hideo Baba
Journal:  Am J Cancer Res       Date:  2015-02-15       Impact factor: 6.166

7.  Pathological complete response in breast cancer patients following neoadjuvant chemotherapy at a Comprehensive Cancer Center: The natural history of an elusive prognosticator.

Authors:  Oluwadamilola M Fayanju; Iheoma Nwaogu; Donna B Jeffe; Julie A Margenthaler
Journal:  Mol Clin Oncol       Date:  2015-03-31

Review 8.  Epidemiology, biology, and treatment of triple-negative breast cancer in women of African ancestry.

Authors:  Abenaa M Brewster; Mariana Chavez-MacGregor; Powel Brown
Journal:  Lancet Oncol       Date:  2014-11-24       Impact factor: 41.316

9.  Chemotherapeutic drug-specific alteration of microvascular blood flow in murine breast cancer as measured by diffuse correlation spectroscopy.

Authors:  Gabriel Ramirez; Ashley R Proctor; Ki Won Jung; Tong Tong Wu; Songfeng Han; Russell R Adams; Jingxuan Ren; Daniel K Byun; Kelley S Madden; Edward B Brown; Thomas H Foster; Parisa Farzam; Turgut Durduran; Regine Choe
Journal:  Biomed Opt Express       Date:  2016-08-24       Impact factor: 3.732

10.  Diffuse Optical Monitoring of the Neoadjuvant Breast Cancer Therapy.

Authors:  Regine Choe; Turgut Durduran
Journal:  IEEE J Sel Top Quantum Electron       Date:  2011-12-02       Impact factor: 4.544

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