Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where M. Carolina Gutierrez is active.

Publication


Featured researches published by M. Carolina Gutierrez.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Residual breast cancers after conventional therapy display mesenchymal as well as tumor-initiating features

Chad J. Creighton; Xiaoxian Li; Melissa D. Landis; J. Michael Dixon; Veronique Neumeister; Ashley Sjolund; David L. Rimm; Helen Wong; Angel Rodriguez; Jason I. Herschkowitz; Cheng Fan; Xiaomei Zhang; Xiaping He; Anne C. Pavlick; M. Carolina Gutierrez; Lorna Renshaw; Alexey Larionov; Dana Faratian; Susan G. Hilsenbeck; Charles M. Perou; Michael T. Lewis; Jeffrey M. Rosen; Jenny Chang

Some breast cancers have been shown to contain a small fraction of cells characterized by CD44+/CD24−/low cell-surface antigen profile that have high tumor-initiating potential. In addition, breast cancer cells propagated in vitro as mammospheres (MSs) have also been shown to be enriched for cells capable of self-renewal. In this study, we have defined a gene expression signature common to both CD44+/CD24−/low and MS-forming cells. To examine its clinical significance, we determined whether tumor cells surviving after conventional treatments were enriched for cells bearing this CD44+/CD24−/low-MS signature. The CD44+/CD24−/low-MS signature was found mainly in human breast tumors of the recently identified “claudin-low” molecular subtype, which is characterized by expression of many epithelial-mesenchymal-transition (EMT)-associated genes. Both CD44+/CD24−/low-MS and claudin-low signatures were more pronounced in tumor tissue remaining after either endocrine therapy (letrozole) or chemotherapy (docetaxel), consistent with the selective survival of tumor-initiating cells posttreatment. We confirmed an increased expression of mesenchymal markers, including vimentin (VIM) in cytokeratin-positive epithelial cells metalloproteinase 2 (MMP2), in two separate sets of postletrozole vs. pretreatment specimens. Taken together, these data provide supporting evidence that the residual breast tumor cell populations surviving after conventional treatment may be enriched for subpopulations of cells with both tumor-initiating and mesenchymal features. Targeting proteins involved in EMT may provide a therapeutic strategy for eliminating surviving cells to prevent recurrence and improve long-term survival in breast cancer patients.


The Lancet | 2003

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

Jenny Chang; Eric C. Wooten; Anna Tsimelzon; Susan G. Hilsenbeck; M. Carolina Gutierrez; Richard M. Elledge; Syed K. Mohsin; C. Kent Osborne; Gary C. Chamness; D. Craig Allred; Peter O'Connell

BACKGROUND Systemic chemotherapy for operable breast cancer substantially decreases the risk of death. Patients often have de novo resistance or incomplete response to docetaxel, one of the most active agents in this disease. We postulated that gene expression profiles of the primary breast cancer can predict the response to docetaxel. METHODS We took core biopsy samples from primary breast tumours in 24 patients before treatment and then assessed tumour response to neoadjuvant docetaxel (four cycles, 100 mg/m2 daily for 3 weeks) by cDNA analysis of RNA extracted from biopsy samples using HgU95-Av2 GeneChip. FINDINGS From the core biopsy samples, we extracted sufficient total RNA (3-6 microg) for cDNA array analysis using HgU95-Av2 GeneChip. Differential patterns of expression of 92 genes correlated with docetaxel response (p=0.001). Sensitive tumours had higher expression of genes involved in cell cycle, cytoskeleton, adhesion, protein transport, protein modification, transcription, and stress or apoptosis; whereas resistant tumours showed increased expression of some transcriptional and signal transduction genes. In leave-one-out cross-validation analysis, ten of 11 sensitive tumours (90% specificity) and 11 of 13 resistant tumours (85% sensitivity) were correctly classified, with an accuracy of 88%. This 92-gene predictor had positive and negative predictive values of 92% and 83%, respectively. Correlation between RNA expression measured by the arrays and semiquantitative RT-PCR was also ascertained, and our results were validated in an independent set of six patients. INTERPRETATION If validated, these molecular profiles could allow development of a clinical test for docetaxel sensitivity, thus reducing unnecessary treatment for women with breast cancer.


Journal of Clinical Oncology | 2005

Molecular Changes in Tamoxifen-Resistant Breast Cancer: Relationship Between Estrogen Receptor, HER-2, and p38 Mitogen-Activated Protein Kinase

M. Carolina Gutierrez; Simone Detre; Stephen Albert Johnston; Syed K. Mohsin; Jiang Shou; D. Craig Allred; Rachel Schiff; C. Kent Osborne; Mitch Dowsett

PURPOSE To evaluate growth factor receptor cross talk with the estrogen receptor (ER) in paired clinical breast cancer specimens and in a xenograft model before tamoxifen and at tumor progression as a possible mechanism for tamoxifen resistance. METHODS Specimen pairs from 39 patients were tissue arrayed and stained for ER, progesterone receptor (PgR), Bcl-2, c-ErbB2 (HER-2), and phosphorylated (p) p38 mitogen-activated protein kinase (MAPK), p-ERK1/2 MAPK, and p-Akt. Xenograft MCF-7 tumors before and after tamoxifen resistance were assessed for levels of p-p38. RESULTS Pretreatment, there were strong correlations between ER, PgR, and Bcl-2, and an inverse correlation between ER and HER-2. These correlations were lost in the tamoxifen- resistant tumors and replaced by strong correlations between ER and p-p38 and p-ERK. ER expression was lost in 17% of resistant tumors. Three (11%) of the 26 tumors originally negative for HER-2 became amplified and/or overexpressed at resistance. All ER-positive tumors that overexpressed HER-2 originally or at resistance expressed high levels of p-p38. In the pretreatment and tamoxifen-resistant specimens, there were strong correlations between p-p38 and p-ERK. In the tamoxifen-resistant xenograft tumors, like the clinical samples, there was a striking increase in p-p38. CONCLUSION The molecular pathways driving tumor growth can change as the tumor progresses. Crosstalk between ER, HER-2, p38, and ERK may contribute to tamoxifen resistance and may provide molecular targets to overcome this resistance.


Journal of Clinical Oncology | 2005

Neoadjuvant Trastuzumab Induces Apoptosis in Primary Breast Cancers

Syed K. Mohsin; Heidi L. Weiss; M. Carolina Gutierrez; Gary C. Chamness; Rachel Schiff; Michael DiGiovanna; Chun Xia Wang; Susan G. Hilsenbeck; C. Kent Osborne; D. Craig Allred; Richard Elledge; Jenny Chee Ning Chang

Purpose Greater understanding of the cellular response in trastuzumab-treated patients will provide insight into the clinical management of patients. Patients and Methods We performed a neoadjuvant trial in 35 patients with locally advanced HER-2/neu overexpressing breast cancers who received weekly trastuzumab given as a single agent for the first 3 weeks, followed by a combination of trastuzumab and docetaxel for 12 weeks before surgery. Sequential core biopsies were taken at baseline and within weeks 1 and 3 after the first dose of trastuzumab. Clinical response to trastuzumab was assessed by tumor measurements on day 22 before chemotherapy. Core biopsies were assessed by immunohistochemistry for cell cycle and proliferation (Ki67, p27, phosphorylated [p] -MAPK), apoptosis and survival (apoptotic index, p-Akt), epidermal growth factor receptor, and total and p-HER-2. Results There was early tumor regression with a median decrease of −20.0% (range. 0% to 60.4%) after only 3 weeks of trastuzumab, and eig...


Journal of Clinical Oncology | 2011

Loss of Phosphatase and Tensin Homolog or Phosphoinositol-3 Kinase Activation and Response to Trastuzumab or Lapatinib in Human Epidermal Growth Factor Receptor 2–Overexpressing Locally Advanced Breast Cancers

Bhuvanesh Dave; Ilenia Migliaccio; M. Carolina Gutierrez; Meng Fen Wu; Gary C. Chamness; Helen Wong; Archana Narasanna; Anindita Chakrabarty; Susan G. Hilsenbeck; Jian Huang; Mothaffar F. Rimawi; Rachel Schiff; Carlos L. Arteaga; C. Kent Osborne; Jenny Chang

PURPOSE Phosphatase and tensin homolog (PTEN) loss or activating mutations of phosphoinositol-3 (PI3) kinase (PIK3CA) may be associated with trastuzumab resistance. Trastuzumab, the humanized human epidermal growth factor receptor 2 (HER2) monoclonal antibody, and lapatinib, an epidermal growth factor receptor/HER2 tyrosine kinase inhibitor, are both established treatments for HER2-overexpressing breast cancers. Understanding of the cellular response to HER2-targeted therapies is needed to tailor treatments and to identify patients less likely to benefit. METHODS We evaluated the effect of trastuzumab or lapatinib in three HER2-overexpressing cell lines. We confirmed the in vitro observations in two neoadjuvant clinical trials in patients with HER2 overexpression; 35 patients received trastuzumab as a single agent for the first 3 weeks, then docetaxel every 3 weeks for 12 weeks (trastuzumab regimen), whereas 49 patients received lapatinib as a single agent for 6 weeks, followed by trastuzumab/docetaxel for 12 weeks before primary surgery (lapatinib regimen). Apoptosis, Ki67, p-MAPK, p-AKT, and PTEN were assessed by immunohistochemistry. Genomic DNA was sequenced for PIK3CA mutations. RESULTS Under low PTEN conditions, in vitro data indicate that lapatinib alone and in combination with trastuzumab was effective in decreasing p-MAPK and p-AKT levels, whereas trastuzumab was ineffective. In the clinical trials, we confirmed that low PTEN or activating mutation in PIK3CA conferred resistance to the trastuzumab regimen (P = .015), whereas low PTEN tumors were associated with a high pathologic complete response rate (P = .007). CONCLUSION Activation of PI3 kinase pathway is associated with trastuzumab resistance, whereas low PTEN predicted for response to lapatinib. These observations support clinical trials with the combination of both agents.


Journal of Clinical Oncology | 2005

Patterns of resistance and incomplete response to docetaxel by gene expression profiling in breast cancer patients

Jenny Chang; Eric C. Wooten; Anna Tsimelzon; Susan G. Hilsenbeck; M. Carolina Gutierrez; Yee Lu Tham; Mamta Kalidas; Richard Elledge; Syed K. Mohsin; C. Kent Osborne; Gary C. Chamness; D. Craig Allred; Michael T. Lewis; Helen Wong; Peter O'Connell

PURPOSE Chemotherapy for operable breast cancer decreases the risk of death. Docetaxel is one of the most active agents in breast cancer, but resistance or incomplete response is frequent. PATIENTS AND METHODS Core biopsies from 24 patients were obtained before treatment with neoadjuvant docetaxel (four cycles, 100 mg/m(2) every 3 weeks), and response was assessed after chemotherapy. After 3 months of neoadjuvant chemotherapy, surgical specimens (n = 13) were obtained, and laser capture microdissection (LCM; n = 8) was performed to enrich for tumor cells. From each core, surgical, and LCM specimen, sufficient total RNA (3 to 6 microg) was extracted for cDNA array analysis using the Affymetrix HgU95-Av2 GeneChip (Affymetrix, Santa Clara, CA). RESULTS From the initial core biopsies, differential patterns of expression of 92 genes correlated with docetaxel response (P = .001). However, the molecular patterns of the residual cancers after 3 months of docetaxel treatment were strikingly similar, independent of initial sensitivity or resistance. This relative genetic homogeneity after treatment was observed in both LCM and non-LCM surgical specimens. The residual tumor after treatment in tumors that were initially sensitive indicates selection of a residual and resistant subpopulation of cells. The gene expression pattern was populated by genes involved in cell cycle arrest at G(2)M (eg, mitotic cyclins and cdc2) and survival pathways involving the mammalian target of rapamycin. CONCLUSION A specific and consistent gene expression pattern was found in residual tumors after docetaxel treatment. These profiles provide therapeutic targets that could lead to improved treatment.


Breast Cancer Research and Treatment | 2008

Gene expression patterns in formalin-fixed, paraffin-embedded core biopsies predict docetaxel chemosensitivity in breast cancer patients

Jenny Chang; Andreas Makris; M. Carolina Gutierrez; Susan G. Hilsenbeck; James Hackett; Jennie Jeong; Mei Lan Liu; Joffre Baker; Kim M. Clark-Langone; Frederick L. Baehner; Krsytal Sexton; Syed K. Mohsin; Tara Gray; Laura E. Alvarez; Gary C. Chamness; C. Kent Osborne; Steven Shak


Clinical Breast Cancer | 2003

Neoadjuvant trastuzumab and docetaxel in breast cancer: Preliminary results

Andrea E. Van Pelt; Syed K. Mohsin; Richard M. Elledge; Susan G. Hilsenbeck; M. Carolina Gutierrez; Anthony Lucci; Mamta Kalidas; Thomas S. Granchi; Bradford G. Scott; D. Craig Allred; Jenny Chang


Breast Cancer Research and Treatment | 2005

Clinical response to neoadjuvant docetaxel predicts improved outcome in patients with large locally advanced breast cancers

Yee Lu Tham; L. Fernando Gomez; Syed K. Mohsin; M. Carolina Gutierrez; Heidi L. Weiss; Susan G. Hilsenbeck; Richard Elledge; Gary C. Chamness; C. Kent Osborne; D. Craig Allred; Jenny Chang


Breast Cancer Research and Treatment | 2012

Upregulation of Mucin4 in ER-positive/HER2-Overexpressing Breast Cancer Xenografts with Acquired Resistance to Endocrine and HER2-Targeted Therapies

Albert C. Chen; Ilenia Migliaccio; Mothaffar F. Rimawi; Sara López-Tarruella; Chad J. Creighton; Suleiman Massarweh; Catherine Huang; Yen Chao Wang; Surinder K. Batra; M. Carolina Gutierrez; C. Kent Osborne; Rachel Schiff

Collaboration


Dive into the M. Carolina Gutierrez's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

C. Kent Osborne

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Gary C. Chamness

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Jenny Chang

University of California

View shared research outputs
Top Co-Authors

Avatar

Syed K. Mohsin

Riverside Methodist Hospital

View shared research outputs
Top Co-Authors

Avatar

D. Craig Allred

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Rachel Schiff

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Helen Wong

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Ilenia Migliaccio

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Richard Elledge

University of Texas Health Science Center at San Antonio

View shared research outputs
Researchain Logo
Decentralizing Knowledge