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114 citation(s) found for "Tan, Winston".

Association of androgen receptor V9 (ARV9) mRNA expression in metastatic tissue with early resistance to pre-chemotherapy abiraterone acetate/prednisone (AA/P).
Carlson, Rachel E. , Tan, Winston , Sicotte, Hugues , Wang, Liewei , Costello, Brian A. , Pitot, Henry C., Dronca, Roxana , Moynihan, Timothy J. , Atwell, Thomas D. , Eiken, Patrick W. , McMenomy, Brendan P., Wu, Kevin J. , Kohli, Manish , Hillman, David W. , Wang, Liguo , Li, Ying , Ho, Thai H. , Quevedo, Fernando , Bryce, Alan H. , Dehm, Scott M.

Mayo Clinic

Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 237-237

10.1200/jco.2016.34.2_suppl.237 Get It

237 Background: AA/P is an approved treatment for mCRPC but there are no known predictive markers of response or resistance. We conducted a prospective trial to evaluate if Androgen Receptor (AR) & AR-variant (ARV) expression in tissue metastases can predict resistance to AA/P. Methods: mCRPC stage patients (pts) initiating pre-chemo AA/P underwent metastatic site biopsies prior to (pre-AA/P) and after 12 weeks of treatment. Composite progression at 12 weeks, (primary endpoint) was evaluated with PSA, RECIST, bone scan and symptoms (per PCWG2). mRNA expressions of pre-AA/P ARFL, ARV3, ARV7, ARV9, ARV23, ARV45, four cell cycle division genes, Chromogranin-A (CHGA) together with PSA/testosterone levels, Gleason Score (GS) at initial diagnosis; high versus low volume disease; time from starting hormone therapy to mCRPC stage and serum CHGA levels were evaluated using a logistic regression model for predicting resistance at 12 weeks of therapy. A final multivariate model fitted only those factors thought to be clinically relevant or with an entry threshold of p ≤ 0.3 in univariate analysis. Results: Between 6/2013 & 3/2015, 82 pts were enrolled of which 52 had complete mRNA expression & disease assessment data at the12-week time point for analysis. Median age of the cohort was 72.5 yrs (IQR: 68.5-78); median pre-AA/P PSA was 18 ng/ml (IQR: 8.1- 46.6); GS distribution at initial diagnosis for GS 2-6; 7; 8-10 was 11; 14; 27 respectively. Progression was observed in 21/52 pts after 12 weeks. At the univariate level elevated pre-AA/P expression of ARV3 (p = 0.08), ARV7 (p = 0.26), ARV9 (p = 0.04), and cell division cycle gene CDC45 (p = 0.19) along with GS at diagnosis (p = 0.29) met the threshold for inclusion into multivariate analysis. Elevated expression of pre-therapy ARV9 in metastases alone was associated with progression at 12 weeks (OR: 3.9; CI 1.07 – 14.16; C-Index: 0.63). The 12-week biopsy of pts with progression had increased ARV9 mRNA expression compared to pts responding at 12 weeks (p = 0.14). Conclusions: Increased ARV9 mRNA expression in metastases is associated with early resistance to AA/P. This observation will need further validation in comparable datasets. Clinical trial information: NCT #0195364.
Community survivorship program: Kansas Hope in the Valley program.
Chauhan, Cynthia, Tan, Winston

Mayo Clinic

Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 3_suppl | Pages: 34-34

10.1200/jco.2016.34.3_suppl.34 Get It

34 Background: Patient run community based survivorship programs are rare; most are affiliated with clinics and hospitals. Aim: To highlight a community based non-hospital affiliated program that had operated successfully for 32 years and review their best practices and challenges. Methods: Data collected from Hope in the Valley support group program. In Wichita, Kansas there is a patient formed community based support group/survivorship program supported and operated privately by survivors. Results: Todate a total of 16 disease specific and 13 general cancer support groups are affiliated with the organization and all the services are housed in a building. The support groups meet in different places and are grouped according to their proximity to their residences. Services provided include lodging assistance, women's boutique, support group meetings, transportation, patient assistance program, and a hospitality center. Every new patient with cancer in the community was given a referral to the center. Cancer support groups include breast, gynecologic, lung, kidney, gastrointestinal, lymphoma, leukemia, adolescent, childhood and general cancer group. In 2014 67, 709 patients attended support groups meetings and 2000 patients attended between January- April 2015. The hospitality center had 20, 160 visits and 19,877 physician's office treatment visits were conducted in 2014. There are 3 full time staff, 7 part time staff and 200 volunteers run the organization. Challenges include recruitment of volunteers, funding for the organization, existing as an independent program from churches, hospital, clinics, or national organizations, public awareness of the program, the governance and structure of the organization. Details of the challenges and how their organization is run will be presented. Many of the patients used their services often give back as volunteers, facilitators and others. Conclusions: This is a survivorship program run by patients, actively addressing patients concerns and issues. This could provide a framework for future groups that want to form a community based patient centered cancer support group.
Abstract 2034: Personalized chemotherapy regimen selection for breast cancer
Yu, Kaixian , Sang, Qing‐Xiang Amy , Tan, Winston , Dargham, Mayassa B., Liu, Jun S. , Lively, Ty J., Sheffield, Cedric, Zhang, Jinfeng

Mayo Clinic

Cancer Research | July 26, 2016 | Volume: 76 | Issue: 14_Supplement | Pages: 2034-2034

10.1158/1538-7445.am2016-2034 Get It

Abstract Despite the rapid progress in personalized cancer therapy (PCT) for breast cancer, no previous studies have used genomic predictors to choose among multiple chemotherapy regimens. It is unclear that given the current regimens how much PCT can improve the response rate for patients who will receive chemotherapy. In this study, we reanalyzed data from published studies of 1111 breast cancer patients who were treated with neoadjuvant chemotherapies. Those patients were divided into three regimen groups: an anthracycline alone, anthracycline plus paclitaxel, and anthracycline plus docetaxel. We developed a new strategy called PRES (Personalized REgimen Selection) to reassign the optimal regimen to each of the patients. First, a variable selection scheme was developed to identify significant genetic predictors for chemotherapy response. The selected genetic variables were then combined with clinical variables to build random forest models to predict the response of a patient to each regimen using pCR (pathological complete response) as the measure of response. The models were used to assign an optimal regimen to each patient to maximize the chance of pCR. We found that the expected rate of pCR was improved from 21.2% to 39.6% (95% CI: 34.6% - 43.0%). We also found that 31.1% of the patients may have been overtreated and 8.2% patients undertreated. A validation study on 21 cell lines showed that our prediction agrees with their paclitaxel-sensitivity profiles. We performed additional analysis on the Cancer Genome Atlas (TCGA) data and found that 18 of the 19 genes identified are significantly differentially expressed between normal and tumor tissues, and 2 of them, TAF6L and METRN (meteorin), are associated with overall survival. In conclusion, PRES could substantially increase response rates for breast cancer patients who will receive one of the widely-accepted chemotherapy regimens at present. Citation Format: Jinfeng Zhang, Kaixian Yu, Qingxiang Amy Sang, Winston Tan, Mayassa B. Dargham, Jun S. Liu, Ty Lively, Cedric Sheffield. Personalized chemotherapy regimen selection for breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2034.
Improved Survival of HER2+ Breast Cancer Patients Treated with Trastuzumab and Chemotherapy Is Associated with Host Antibody Immunity against the HER2 Intracellular Domain
Knutson, Keith L. , Clynes, Raphael , Shreeder, Barath , Yeramian, Patrick, Kemp, Kathleen P., Tenner, Kathleen , Erskine, Courtney L. , Norton, Nadine , Northfelt, Donald W. , Tan, Winston , Calfa, Carmen , Pegram, Mark D. , Perez, Edith A. , Ballman, Karla, Tenner, Kathleen S, Northfelt, Donald, Knutson, Keith L. , Ballman, Karla V. , Mittendorf, EA , Norton, Nadine

Mayo Clinic

Cancer Research | April 21, 2016 | Volume: 76 | Issue: 13 | Pages: 3702-3710

10.1158/0008-5472.can-15-3091 | PMID 27197192 Get It

Abstract The addition of trastuzumab to chemotherapy extends survival among patients with HER2+ breast cancer. Prior work showed that trastuzumab and chemotherapy augments HER2 extracellular domain (ECD)-specific antibodies. The current study investigated whether combination therapy induced immune responses beyond HER2-ECD and, importantly, whether those immune responses were associated with survival. Pretreatment and posttreatment sera were obtained from 48 women with metastatic HER2+ breast cancer on NCCTG (now Alliance for Clinical Trials in Oncology) studies, N0337 and N983252. IgG to HER2 intracellular domain (ICD), HER2-ECD, p53, IGFBP2, CEA, and tetanus toxoid were examined. Sera from 25 age-matched controls and 26 surgically resected HER2+ patients were also examined. Prior to therapy, some patients with metastatic disease had elevated antibodies to IGFBP2, p53, HER2-ICD, HER2-ECD, and CEA, but not to tetanus toxin, relative to controls and surgically resected patients. Treatment augmented antibody responses to HER2-ICD in 69% of metastatic patients, which was highly associated with improved progression-free survival (PFS; HR = 0.5, P = 0.0042) and overall survival (OS; HR = 0.7, P = 0.038). Augmented antibody responses to HER2-ICD also correlated (P = 0.03) with increased antibody responses to CEA, IGFBP2, and p53, indicating that treatment induces epitope spreading. Paradoxically, patients who already had high preexisting immunity to HER2-ICD did not respond to therapy with increased antibodies to HER2-ICD and demonstrated poorer PFS (HR = 1.6, P < 0.0001) and OS (HR = 1.4, P = 0.0006). Overall, the findings further demonstrate the importance of the adaptive immune system in the efficacy of trastuzumab-containing regimens. Cancer Res; 76(13); 3702–10. ©2016 AACR.
Abstract 4459: Accelerated drug discovery platform yields synthesis of novel stearoyl-CoA desaturase 1 inhibitors that demonstrate anti-tumor efficacy in several models of aggressive cancer
Roemeling, Christina A. von, Miller, James L. , Sidiqi, Mojda, Tan, Winston , Copland, John A. , Roemeling, Christina A. Von , Caulfield, Thomas R. , Radisky, Derek C. , Bok, Ilah , Marlow, Laura A. , Pinkerton, Anthony B. , Lane, Amy L. , Tun, Han W.

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 4459-4459

10.1158/1538-7445.am2015-4459 Get It

Abstract Background Intra-tumor heterogeneity is the driving force behind disease progression and metastasis, drug resistance, and relapse in cancer patients. Defining personalized treatment regimens and increasing the arsenal of targeted therapies available will provide the best chance of prolonging survival and finding curative treatments. Recent work by our group and others has shed light on aberrant de novo lipogenesis as a feature of many cancers including kidney, breast, and lung cancer. Of the molecules involved in fatty acid metabolism, stearoyl-CoA desaturase 1 (SCD1) is frequently over-expressed. Targeted inhibition of SCD1 demonstrates a loss of tumor cell viability in a variety of cancer models. While there currently are specific small molecule inhibitors for SCD1 none are under investigation as anti-cancer therapeutics. In order to evaluate the efficacy of SCD1 inhibitors against ccRCC in both a preclinical and eventually a clinical setting we sought to generate unique compounds and test their biological efficacy. Methods Utilizing an innovative in silico approach, we designed new inhibitors for SCD1 via a scaffold hopping approach while searching for different “core” scaffolds. Critical interaction moieties from the chemical R-groups were held fixed, while generated cores were rapidly scanned for best-fit criteria (shape, docking, pharmacophore fit (QSAR)) into our Z-matrix. Following de novo compound generation and synthesis, we implemented iterative analog generation for the top hits. Using this method and diversity of chemical space, we pursued three divergent species of compounds into the nanomolar regime. Biological testing of the novel compounds included high-throughput proliferative-based screening, oleic acid rescue, and evaluation of the endoplasmic stress response. Enzymatic inhibition of SCD1 was evaluated by LC-MS. Preclinical pharmacokinetics was established using a range of doses administered intravenously and orally. Anti-tumor response was evaluated in an ectopic model of renal carcinoma, both as a single agent and in combination with SOC. Results A cohort of potential unique small molecule inhibitors against SCD1 were designed and synthesized. Of these, a select group of compounds demonstrated potent and selective enzyme inhibition and reduced tumor growth in in vitro and in vivo models of ccRCC. These novel inhibitors reliably reproduced activation of ER stress markers, authenticating this biological response as a harbinger for successful abrogation of SCD1 activity. Conclusions We have established an effective, expedited, and economical format for in silico modeling of novel agents based on a scaffold-hopping methodology. Our findings provide compelling evidence supporting the therapeutic benefit of SCD1 inhibitors for clinical use as broad-spectrum anti-tumor agents alone or in combination with SOC. Citation Format: Christina A. Von Roemeling, Thomas R. Caulfield, Derek C. Radisky, Ilah Bok, Laura A. Marlow, James Miller, Mojda Sidiqi, Anthony B. Pinkerton, Winston W. Tan, Amy L. Lane, Han W. Tun, John A. Copland. Accelerated drug discovery platform yields synthesis of novel stearoyl-CoA desaturase 1 inhibitors that demonstrate anti-tumor efficacy in several models of aggressive cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4459. doi:10.1158/1538-7445.AM2015-4459
Abstract LB-210: Stearoyl-CoA desaturase 1 is a novel molecular therapeutic target for clear cell renal cell carcinoma.
Roemeling, Christina A. von, Wu, Kevin J. , Tan, Winston , Copland, John A. , Mathias, Adam , Harrison, Chuck, Dawson, Louis K., Hollister, Beth, Roemeling, Christina A. Von , Marlow, Laura A. , Caulfield, Thomas R. , Tun, Han W.

Mayo Clinic

Cancer Research | August 14, 2014 | Volume: 73 | Issue: 8_Supplement | Pages: LB-210-LB-210

10.1158/1538-7445.am2013-lb-210 Get It

Abstract Introduction: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of RCC, which is the most prevalent kidney cancer among adults. Of the patients who develop this disease, over 1/3 will already present with advanced or metastatic disease during initial diagnosis due to the lack of symptoms in early stages. RCC demonstrates considerable resistance to radiation and traditional chemotherapeutics. Despite advances in the development of targeted anti-cancer treatments, no current drug therapy leads to significant improvement in long term survival in patients with advanced disease with the rare exception of those who respond to immunotherapy. Additionally, patients inevitably develop drug resistance. Therefore new molecular targets for therapy are sorely needed. Our group has identified stearoyl coA desaturase (SCD1) as a novel molecular target in ccRCC. We examined its role in tumor cell growth and viability in vitro and in vivo independently as well as in combination with current FDA approved regimens. Methods: Patient normal and ccRCC tissue samples and cell lines were examined for SCD1 expression. Genetic knockdown models and targeted inhibition of SCD1 through use of a small molecule inhibitor were analyzed for growth, apoptosis, and alterations in gene expression using gene array analysis. Therapeutic models of synergy were evaluated utilizing pharmacologic inhibition of SCD1 with the tyrosine kinase inhibitors (TKI) sunitinib and pazopanib, and the mTOR inhibitor temsirolimus. Results: Our studies identify increased SCD1 expression in all stages of ccRCC. Both genetic knockdown and pharmacologic inhibition of SCD1 decrease tumor cell proliferation and induce apoptosis in vitro and in vivo. Upon gene array, quantitative real-time PCR, and protein analysis of SCDi treated or SCD1 lentiviral knockdown samples, induction of endoplasmic reticulum (ER) stress response signaling was observed, providing mechanistic insight for SCD1 activity in ccRCC. Furthermore, combinatorial application of SCDi with temsirolimus synergistically inhibits tumor growth in vitro and in vivo. Conclusions: Increased SCD1 expression supports ccRCC viability and therefore we propose it as a novel molecular target for therapy either independently or in combination with an mTOR inhibitor for patients whose disease cannot be remedied with surgical intervention, such as in cases of advanced or metastatic disease. These findings support the further evaluation of targeting SCD1 as an anti-cancer strategy in a phase I clinical trial. Citation Format: Christina A. von Roemeling, Laura Marlow, Thomas Caulfield, Kevin Wu, Winston Tan, Han Tun, John A. Copland, Adam Mathias, Chuck Harrison, Louis Dawson, Beth Hollister. Stearoyl-CoA desaturase 1 is a novel molecular therapeutic target for clear cell renal cell carcinoma. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-210. doi:10.1158/1538-7445.AM2013-LB-210
Renal Leiomyosarcoma: A Diagnostic Challenge
Valery, Jose R. , Tan, Winston , Cortese, Cherise

Mayo Clinic

Case Reports in Oncological Medicine | October 29, 2013 | Volume: 2013 | Issue: No issue available | Pages: 1-3

10.1155/2013/459282 | PMID 24288636 Get It

Renal leiomyosarcoma is a very rare tumor that clinically and radiographically mimics more common renal malignancies. The infrequency of the condition makes it very difficult to diagnose. A 70-year-old male smoker presented with months of hematuria, right-sided flank pain, and weight loss. Imaging revealed a 3.8-centimeter renal mass that had characteristics similar to renal cell carcinoma. Initial biopsy of the mass was negative for malignancy. Two months later, subsequent imaging revealed what appeared to be metastatic bone lesions. Again, a biopsy of one of the lesions was negative for malignancy. Subsequent ureteral pyeloscopy, ureteroscopic renal pelvis biopsy, and brush cytology were negative for malignancy as well. The decision was made to perform nephrectomy for the removal of the mass. Pathologic analysis revealed renal leiomyosarcoma. This case illustrates the difficulty in diagnosing renal leiomyosarcoma. Repeated pathologic sampling was negative because of the tumor heterogeneity. Prompt diagnosis and treatment are very significant as surgical resection at an early stage offers the best prognosis.
Sorafenib for the Treatment of Renal Cell Carcinoma
Hughes, Caren, Tan, Winston , Ferrone, Marcus

Mayo Clinic

Journal of Pharmacy Technology | September 19, 2013 | Volume: 22 | Issue: 5 | Pages: 281-288

10.1177/875512250602200506 Get It

Objective: To summarize the pharmacology, development, and clinical application of sorafenib, a specific tyrosine kinase and vascular growth factor inhibitor, for the treatment of renal cell carcinoma (RCC). Data Sources: Clinical literature, including both primary studies and review articles, was obtained by searching MEDLINE (1966–May 2006), using the search terms BAY 43-9006, sorafenib, renal cell carcinoma, and tyrosine kinase inhibitor. Additional information was supplied by the manufacturer, Bayer HealthCare Pharmaceuticals. Study Selection and Data Extraction: Review articles, abstracts, and clinical studies related to sorafenib were analyzed. An evaluation of the research exploring sorafenib as a potential therapy for RCC was conducted. Relevant information was then selected and is reviewed in this article. Data Synthesis: Knowledge of the cellular abnormalities that can cause solid tumors has led to the development of medications that block these pathways. Sorafenib is an oral tyrosine kinase inhibitor that both blocks the Raf kinase pathway and inhibits vascular growth factors. Phase I and II trials have demonstrated that sorafenib has activity against RCC. Dermatologic reactions (rash, desquamation), fatigue, and hypertension have been the most commonly seen treatment-related adverse events. Sorafenib received FDA approval in December 2005 for treatment of advanced RCC. Conclusions: Sorafenib is a novel oral tyrosine kinase inhibitor effective in the treatment of RCC.
Stearoyl-CoA Desaturase 1 Is a Novel Molecular Therapeutic Target for Clear Cell Renal Cell Carcinoma
Roemeling, Christina A. Von , Marlow, Laura A. , Wei, Johnny J. , Caulfield, Thomas R. , Wu, Kevin J. , Tan, Winston , Copland, John A. , Cooper, Simon JR , Tun, Han W. , Caulfield, Thomas R , von Roemeling, Christina A , Marlow, Laura

Mayo Clinic

Clinical Cancer Research | May 1, 2013 | Volume: 19 | Issue: 9 | Pages: 2368-2380

10.1158/1078-0432.ccr-12-3249 | PMID 23633458 Get It

Abstract Purpose: We set out to identify Stearoyl-CoA desaturase 1 (SCD1) as a novel molecular target in clear cell renal cell carcinoma (ccRCC) and examine its role in tumor cell growth and viability in vitro and in vivo independently as well as in combination with current U.S. Food and Drug Administration (FDA)-approved regimens. Experimental Design: Patient normal and ccRCC tissue samples and cell lines were examined for SCD1 expression. Genetic knockdown models and targeted inhibition of SCD1 through use of a small molecule inhibitor, A939572, were analyzed for growth, apoptosis, and alterations in gene expression using gene array analysis. Therapeutic models of synergy were evaluated utilizing pharmacologic inhibition of SCD1 with the tyrosine kinase inhibitors (TKI) sunitinib and pazopanib, and the mTOR inhibitor temsirolimus. Results: Our studies identify increased SCD1 expression in all stages of ccRCC. Both genetic knockdown and pharmacologic inhibition of SCD1 decreased tumor cell proliferation and induced apoptosis in vitro and in vivo. Upon gene array, quantitative real-time PCR, and protein analysis of A939572-treated or SCD1 lentiviral knockdown samples, induction of endoplasmic reticulum stress response signaling was observed, providing mechanistic insight for SCD1 activity in ccRCC. Furthermore, combinatorial application of A939572 with temsirolimus synergistically inhibited tumor growth in vitro and in vivo. Conclusions: Increased SCD1 expression supports ccRCC viability and therefore we propose it as a novel molecular target for therapy either independently or in combination with an mTOR inhibitor for patients whose disease cannot be remedied with surgical intervention, such as in cases of advanced or metastatic disease. Clin Cancer Res; 19(9); 2368–80. ©2013 AACR.
Proof of Concept to Clinical Confirmation: Evolving Clinical Trial Designs for Targeted Agents
Finn, Laura , Tan, Winston

Mayo Clinic

ISRN Oncology | June 4, 2012 | Volume: 2012 | Issue: No issue available | Pages: 1-6

10.5402/2012/478607 | PMID 22701804 Get It

No single therapy benefits the majority of patients in the practice of oncology as responses differ even among patients with similar tumor types. The variety of response to therapy witnessed while treating our patients supports the concept of personalized medicine using patients' genomic and biologic information and their clinical characteristics to make informed decisions about their treatment. Personalized medicine relies on identification and confirmation of biologic targets and development of agents to target them. These targeted agents tend to focus on subsets of patients and provide improved clinical outcomes. The continued success of personalized medicine will depend on the expedited development of new agents from proof of concept to confirmation of clinical efficacy.