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2390 citation(s) found for "Yu, Lin".

The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications
Ramnarine, Varune Rohan , Alshalalfa, Mohammed , Mo, Fan , Nabavi, Noushin , Erho, Nicholas , Takhar, Mandeep, Shukin, Robert, Brahmbhatt, Sonal, Gawronski, Alexander , Kobelev, Maxim , Nouri, Mannan , Lin, Dong , Tsai, Harrison , Karnes, R., Rubin, Mark A. , Zoubeidi, Amina , Gleave, Martin , Sahinalp, Cenk, Wyatt, Alexander W. , Beltran, Himisha , Wang, Yuzhuo , Collins, Colin C. , Karnes, R Jefferey, Lotan, Tamara Levin , Karnes, R. Jeffrey, Şahinalp, S. Cenk , Volik, Stanislav V. , Davicioni, Elai , Rubin, Mark A

Mayo Clinic

GigaScience | May 10, 2018 | Volume: 7 | Issue: 6 | Pages: No page available

10.1093/gigascience/giy050 | PMID 29757368 Get It

Abstract Background Treatment-induced neuroendocrine prostate cancer (tNEPC) is an aggressive variant of late-stage metastatic castrate-resistant prostate cancer that commonly arises through neuroendocrine transdifferentiation (NEtD). Treatment options are limited, ineffective, and, for most patients, result in death in less than a year. We previously developed a first-in-field patient-derived xenograft (PDX) model of NEtD. Longitudinal deep transcriptome profiling of this model enabled monitoring of dynamic transcriptional changes during NEtD and in the context of androgen deprivation. Long non-coding RNA (lncRNA) are implicated in cancer where they can control gene regulation. Until now, the expression of lncRNAs during NEtD and their clinical associations were unexplored. Results We implemented a next-generation sequence analysis pipeline that can detect transcripts at low expression levels and built a genome-wide catalogue (n = 37,749) of lncRNAs. We applied this pipeline to 927 clinical samples and our high-fidelity NEtD model LTL331 and identified 821 lncRNAs in NEPC. Among these are 122 lncRNAs that robustly distinguish NEPC from prostate adenocarcinoma (AD) patient tumours. The highest expressed lncRNAs within this signature are H19, LINC00617, and SSTR5-AS1. Another 742 are associated with the NEtD process and fall into four distinct patterns of expression (NEtD lncRNA Class I, II, III, and IV) in our PDX model and clinical samples. Each class has significant (z-scores >2) and unique enrichment for transcription factor binding site (TFBS) motifs in their sequences. Enriched TFBS include (1) TP53 and BRN1 in Class I, (2) ELF5, SPIC, and HOXD1 in Class II, (3) SPDEF in Class III, (4) HSF1 and FOXA1 in Class IV, and (5) TWIST1 when merging Class III with IV. Common TFBS in all NEtD lncRNA were also identified and include E2F, REST, PAX5, PAX9, and STAF. Interrogation of the top deregulated candidates (n = 100) in radical prostatectomy adenocarcinoma samples with long-term follow-up (median 18 years) revealed significant clinicopathological associations. Specifically, we identified 25 that are associated with rapid metastasis following androgen deprivation therapy (ADT). Two of these lncRNAs (SSTR5-AS1 and LINC00514) stratified patients undergoing ADT based on patient outcome. Discussion To date, a comprehensive characterization of the dynamic landscape of lncRNAs during the NEtD process has not been performed. A temporal analysis of the PDX-based NEtD model has for the first time provided this dynamic landscape. TFBS analysis identified NEPC-related TF motifs present within the NEtD lncRNA sequences, suggesting functional roles for these lncRNAs in NEPC pathogenesis. Furthermore, select NEtD lncRNAs appear to be associated with metastasis and patients receiving ADT. Treatment-related metastasis is a clinical consequence of NEPC tumours. Top candidate lncRNAs FENDRR, H19, LINC00514, LINC00617, and SSTR5-AS1 identified in this study are implicated in the development of NEPC. We present here for the first time a genome-wide catalogue of NEtD lncRNAs that characterize the transdifferentiation process and a robust NEPC lncRNA patient expression signature. To accomplish this, we carried out the largest integrative study that applied a PDX NEtD model to clinical samples. These NEtD and NEPC lncRNAs are strong candidates for clinical biomarkers and therapeutic targets and warrant further investigation.
Novel Common Genetic Susceptibility Loci for Colorectal Cancer
Schmit, Stephanie L. , Edlund, Christopher K., Schumacher, Fredrick R. , Harrison, Tabitha A. , Huyghe, Jeroen R. , Qu, Chenxu, Melas, Marilena , Berg, David Van Den , Wang, Hansong, Tring, Stephanie, Plummer, Sarah J. , Alonso, M. Henar , Anton, Kristen , Aragaki, Aaron K. , Arndt, Volker , Barry, Elizabeth L. , Berndt, Sonja I. , Bloomer, Amanda M. , Boehm, Juergen , Brenner, Hermann , Brezina, Stefanie , Buchanan, Daniel D. , Butterbach, Katja, Caan, Bette J. , Carlson, Christopher S. , Castelao, Jose E. , Chang‐Claude, Jenny , Cheng, Ya‐Wen , Chin, Lee Soo, Church, Timothy R. , Correa, Marcia Cruz, Curtis, Keith R. , Duggan, David , Easton, Douglas F. , English, Dallas R. , Fischer, Rocky, Fritsche, Lars G. , Fuchs, Charles S. , Gago-Domínguez, Manuela , Gala, Manish , Gallinger, Steven , Gauderman, W. James, Giovannucci, Edward L. , Gogarten, Stephanie M. , González‐Villalpando, Clicerio, Gonzalez-Villalpando, Elena M., Greenson, Joel K. , Gsur, Andrea , Gunter, Marc J. , Haiman, Christopher A. , Hampe, Jochen , Harlid, Sophia , Harju, John F., Hayes, Richard B. , Hofer, Philipp , Hoffmeister, Michael , Huang, Shu-Chen, Huerta, José María , Hunter, David J., Idos, Gregory , Jackson, Rebecca D. , Jacobs, Eric J. , Jee, Sun Ha , Jenkins, Mark A. , Jia, Wei-Hua , Jiao, Shuo , Joshi, Amit D. , Kolonel, Laurence N. , Kono, Suminori , Krogh, Vittorio , Küehn, Tilman, Küry, Sébastien , LaCroix, Andrea Z. , Laurie, Cecelia , Lejbkowicz, Flavio, Lemire, Mathieu , Lenz, Heinz‐Josef , Levine, David , Li, Li , Lindor, Noralane M. , Liu, Yun-Ru, Lu, Yingchang , Luh, Frank , Ma, Jing , Mancao, Christoph , Manion, Frank J. , Markowitz, Sanford D. , Martín, Vicente , Matsuo, Keitaro , McDonnell, Kevin , McNeil, Caroline E, Murphy, Neil , Offit, Kenneth, Omichessan, Hanane , Cotoré, Jesús Paredes, Pérez‐Mayoral, Julyann, Rennert, Gad , Rennert, Hedy S., Riggs, Bridget M., Schafmayer, Clemens, Sellers, Thomas A. , Seminara, Daniela, Shibata, David , Siegel, Erin M. , Slattery, Martha L. , Stintzing, Sebastian , Taverna, Darin, Thibodeau, Stephen N. , Thomas, Duncan C. , Trichopoulou, Antonia , Duijnhoven, Fränzel J.B. van , Guelpan, Bethany van, Virtamo, Jarmo, Weinstein, Stephanie J. , Win, Aung Ko , Woods, Michael O. , Wu, Anna H. , Wu, Kana , Xiang, Yong-Bing , Zanke, Brent W., Zeng, Yi-Xin , Zhang, Ben , Zubair, Niha, Figueiredo, Jane C. , Lindblom, Annika , Moreno, Vı́ctor , Peters, Ulrike , Conti, David V. , Gruber, Stephen B. , Kühn, Tilman , Buchanan, Daniel D , Win, Aung K , Rennert, Gad , Hoffmeister, Michael , Arndt, Volker , English, Dallas R , Martín, Vicente , Moreno, Victor , Gunter, Marc J , Jenkins, Mark A , Van Den Berg, David J , Harrison, Tabitha A , Matsuo, Keitaro , Kury, Sebastien , Brenner, Hermann , Gago-Dominguez, Manuela , Hampe, Jochen , Murphy, Neil , Hayes, Richard B , Brezina, Stefanie , Conti, David V , Gong, Jian Feng , Albanes, Demetrius , Amos, Christopher I. , Bezieau, Stéphane , Bien, Stephanie A. , Boutron‐Ruault, Marie‐Christine , Campbell, Peter T. , Chan, Andrew T. , Chanock, Stephen Jacob , Cheng, Iona C. , Church, James M. , Coetzee, Gerhard A. , Cotterchio, Michelle , Feskens, Edith J. M. , FitzGerald, Liesel M. , Fortini, Barbara K. , Giles, Graham G. , Grady, William M. , Hopper, John L. , Hudson, Thomas J , Iwasaki, Motoki , Kooperberg, Charles , Li, Christopher I , Lieb, Wolfgang , Lin, Yi , Liu, Yun‐Ru , Loupakis, Fotios , Matsuda, Koichi , McNeil, Caroline E, Milne, Roger L. , Molina, Antonio José , Mukherjee, Bhramar , Newcomb, Polly A. , Palli, Domenico , Pharoah, Paul D.P. , Potter, John D. , Qu, Conghui , Raskin, Leon , Schoen, Robert E. , Severi, Gianluca , Shi, Wei , Shu, Xiao‐Ou , Southey, Melissa C. , Stadler, Zsofia , Stern, Mariana Carla , Tsugane, Shoichiro , Ulrich, Cornelia M. , Vijai, Joseph , White, Emily E. , Wolk, Alicja , Yen, Yun , Kweon, Sun-Seog , Zheng, Wei , Marchand, Loı̈c Le , Casey, Graham , Church, Timothy R , Caan, Bette J , Lindblom, Annika

Mayo Clinic

JNCI: Journal of the National Cancer Institute | April 30, 2018 | Volume: 111 | Issue: 2 | Pages: 146-157

10.1093/jnci/djy099 | PMID 29917119 Get It

Abstract Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10−8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery–replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10−8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10−8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers
Mahmoudzadeh, Amir Pasha , Ma, Lin , Jensen, Matthew R. , Wu, Fang , Cummings, Steven R. , Shepherd, John , Brandt, Kathleen R. , Miglioretti, Diana L. , Vachon, Celine M. , Winham, Stacey, Miglioretti, Diana L , Kerlikowske, Karla , Scott, Christopher G. , Winham, Stacey J. , Wu, Fang Fang, Malkov, Serghei , Pankratz, V. Shane , Vachon, Celine M.

Mayo Clinic

Annals of Internal Medicine | April 30, 2018 | Volume: 168 | Issue: 11 | Pages: 757-765

10.7326/m17-3008 | PMID 29710124 Get It

Analysis of histologic follow‐up and risk of malignancy for salivary gland neoplasm of uncertain malignant potential proposed by the Milan System for Reporting Salivary Gland Cytopathology
Liu, Haiyan , Ljungren, Clarissa, Lin, Fan , Zarka, Matthew A., Chen, Longwen , Chen, Longwen

Mayo Clinic

Cancer Cytopathology | April 18, 2018 | Volume: 126 | Issue: 7 | Pages: 490-497

10.1002/cncy.22002 | PMID 29669190 Get It

BACKGROUNDThe Milan System for Reporting Salivary Gland Cytopathology is a tiered classification scheme that includes 6 diagnostic categories. Neoplasm, which is 1 of the 6 proposed categories, consists of benign neoplasm and neoplasm of uncertain malignant potential (NUMP). NUMP is reserved for a salivary gland neoplasm without clear distinction between benign and malignant. The objective of this study was to assess the risk of malignancy (ROM) of NUMP.METHODSA retrospective analysis was conducted on 656 salivary gland fine‐needle aspiration specimens from 2010 to 2016. Cases that qualified as NUMP and had follow‐up surgical resections were reviewed and reclassified into basaloid neoplasm (BN) and salivary gland neoplasm with predominant oncocytic cell (SGNOC) groups. The ROM for each group was calculated. Fifty‐four salivary gland fine‐needle aspirations of NUMP that had surgical follow‐up were identified, which included 29 BNs and 25 SGNOCs.RESULTSHistologic follow‐up for the BN group identified 14 cellular pleomorphic adenomas, 5 basal cell adenomas, 2 benign cystadenomas, 3 adenoid cystic carcinomas, 3 epithelial and myoepithelial carcinomas, 1 basal cell adenocarcinoma, and 1 myoepithelial carcinoma. Histologic follow‐up for the SGNOC group revealed 7 nodular oncocytoses, 6 Warthin tumors, 5 oncocytomas, 1 sebaceous adenoma, 1 mucinous cystadenoma, 2 acinic cell carcinomas, 2 mucoepidermoid carcinomas, and 1 mammary analog secretory carcinoma. The ROM was calculated at 24.1% for the NUMP category overall (27.6% for BNs and 20.0% for SGNOCs).CONCLUSIONSThe ROM of the SGNOC group is similar to that of the BN group but lower than the ROM (35%) proposed by the Milan system. Cancer Cytopathol 2018. © 2018 American Cancer Society.
Antigen-mediated regulation in monoclonal gammopathies and myeloma
Nair, Shiny , Sng, Joel , Boddupalli, Chandra Sekhar , Seckinger, Anja , Chesi, Marta , Fulciniti, Mariateresa , Rauniyar, Navin , Parker, Terri L., Munshi, Nikhil C. , Sexton, Rachael, Barlogie, Bart , Orlowski, Robert Z. , Bergsagel, Leif, Hose, Dirk , Meffre, Eric , Dhodapkar, Madhav V. , Bergsagel, P. Leif , Bergsagel, P. Leif , Orlowski, Robert Z. , Zhang, Lin, Lopez, Michael A. , Neparidze, Natalia , Flavell, Richard A. , Mistry, Pramod K. , Hose, Dirk

Mayo Clinic

JCI Insight | April 18, 2018 | Volume: 3 | Issue: 8 | Pages: No page available

10.1172/jci.insight.98259 | PMID 29669929 Get It

A role for antigen-driven stimulation has been proposed in the pathogenesis of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) based largely on the binding properties of monoclonal Ig. However, insights into antigen binding to clonal B cell receptors and in vivo responsiveness of the malignant clone to antigen-mediated stimulation are needed to understand the role of antigenic stimulation in tumor growth. Lysolipid-reactive clonal Ig were detected in Gaucher disease (GD) and some sporadic gammopathies. Here, we show that recombinant Ig (rIg) cloned from sort-purified single tumor cells from lipid-reactive sporadic and GD-associated gammopathy specifically bound lysolipids. Liposome sedimentation and binding assays confirmed specific interaction of lipid-reactive monoclonal Ig with lysolipids. The clonal nature of lysolipid-binding Ig was validated by protein sequencing. Gene expression profiling and cytogenetic analyses from 2 patient cohorts showed enrichment of nonhyperdiploid tumors in lipid-reactive patients. In vivo antigen-mediated stimulation led to an increase in clonal Ig and plasma cells (PCs) in GD gammopathy and also reactivated previously suppressed antigenically related nonclonal PCs. These data support a model wherein antigenic stimulation mediates an initial polyclonal phase, followed by evolution of monoclonal tumors enriched in nonhyperdiploid genomes, responsive to underlying antigen. Targeting underlying antigens may therefore prevent clinical MM.
A Disposable Tear Glucose Biosensor—Part 5: Improvements in Reagents and Tear Sampling Component
Lin, Chi, Ito, Yuka , Deng, Anna, Johns, Jared, Matloff, Daniel S., Sode, Koji , Belle, Jeffrey T. La , Cook, Curtiss B. , La Belle, Jeffrey T, Sode, Koji

Mayo Clinic

Journal of Diabetes Science and Technology | April 18, 2018 | Volume: 12 | Issue: 4 | Pages: 842-846

10.1177/1932296818769944 | PMID 29667855 Get It

A tear glucose (TG) sensor with an integrated tear sampler can provide a noninvasive method for calibrating the continuous TG contact lens and monitoring glucose. Expanding from previous work, an improved TG sensor that implements dried reagents, genetically modified glucose dehydrogenase (GDH), and a tear sampler was developed and compared against the TG sensor prepared with commercial GDH. It was found that neither sensor was affected by the tear interferents: ascorbic acid, acetaminophen, and uric acid. The sensor prepared with commercial GDH generated higher current. This suggests that using enzymes with lower K m may be advantageous when operating in low glucose environments like tears. The improved TG sensor also demonstrated the potential of integrating Schirmer’s test strip as a tear sampler for self-monitoring of TG.
Noninvasive neuromodulation in essential tremor demonstrates relief in a sham‐controlled pilot trial
Lin, Peter , Ross, Erika K. , Chidester, Paula, Rosenbluth, Kathryn H. , Hamner, Samuel R. , Wong, Serena H., Delp, Scott L. , Ross, Erika K. , Sanger, Terence D. , Hallett, Mark

Mayo Clinic

Movement Disorders | April 17, 2018 | Volume: 33 | Issue: 7 | Pages: 1182-1183

10.1002/mds.27350 | PMID 29663525 Get It

TDP‐43 pathology in multiple system atrophy: colocalization of TDP‐43 and α‐synuclein in glial cytoplasmic inclusions
Koga, Shunsuke , Lin, W.‐L., Walton, Ronald L., Ross, Owen A. , Koga, Shunsuke , Ross, Owen A , Lin, W.‐L., Dickson, Dennis W.

Mayo Clinic

Neuropathology and Applied Neurobiology | April 16, 2018 | Volume: 44 | Issue: 7 | Pages: 707-721

10.1111/nan.12485 | PMID 29660838 Get It

AimsThis study aimed to assess clinicopathologic features of transactive response DNA‐binding protein of 43 kDa (TDP‐43) pathology and its risk factors in multiple system atrophy (MSA).MethodsParaffin‐embedded sections of the amygdala and basal forebrain from 186 autopsy‐confirmed MSA cases were screened with immunohistochemistry for phospho‐TDP‐43. In cases having TDP‐43 pathology, additional brain regions were assessed. Immunohistochemical and immunofluorescence double‐staining and immunogold electron microscopy (IEM) were performed to evaluate colocalization of TDP‐43 and α‐synuclein. Genetic risk factors for TDP‐43 pathology were also analysed.ResultsImmunohistochemistry showed various morphologies of TDP‐43 pathology in 13 cases (7%), such as subpial astrocytic inclusions, neuronal inclusions, dystrophic neurites, perivascular inclusions and glial cytoplasmic inclusions (GCIs). Multivariable logistic regression models revealed that only advanced age, but not concurrent Alzheimer's disease, argyrophilic grain disease or hippocampal sclerosis, was an independent risk factor for TDP‐43 pathology in MSA (OR: 1.11, 95% CI: 1.04–1.19, P = 0.002). TDP‐43 pathology was restricted to the amygdala in eight cases and extended to the hippocampus in two cases. The remaining three cases had widespread TDP‐43 pathology. Immunohistochemical and immunofluorescence double‐staining and IEM revealed colocalization of α‐synuclein and TDP‐43 in GCIs with granule‐coated filaments. Pilot genetic studies failed to show associations between risk variants of TMEM106B or GRN and TDP‐43 pathology.ConclusionsTDP‐43 pathology is rare in MSA and occurs mainly in the medial temporal lobe. Advanced age is a risk factor for TDP‐43 pathology in MSA. Colocalization of TDP‐43 and α‐synuclein in GCIs suggests possible direct interaction between the two molecules.
The effect of publication bias magnitude and direction on the certainty in evidence
Murad, M. Hassan , Lin, Lifeng , Murad, M Hassan , Lin, Lifeng , Chu, Haitao , Wang, Zhen

Mayo Clinic

BMJ Evidence-Based Medicine | April 12, 2018 | Volume: 23 | Issue: 3 | Pages: 84-86

10.1136/bmjebm-2018-110891 | PMID 29650725 Get It

Publication bias occurs when studies with statistically significant results have increased likelihood of being published. Publication bias is commonly associated with inflated treatment effect which lowers the certainty of decision makers about the evidence. In this guide we propose that systematic reviewers and decision makers consider the direction and magnitude of publication bias, as opposed to just the binary determination of the presence of this bias, before lowering their certainty in the evidence. Direction of bias may not always exaggerate the treatment effect. The presence of bias with a trivial magnitude may not affect the decision at hand. Various statistical approaches are available to determine the direction and magnitude of publication bias.
Change in Topoisomerase 1–Positive Circulating Tumor Cells Affects Overall Survival in Patients with Advanced Breast Cancer after Treatment with Etirinotecan Pegol
Awada, Ahmad , O’Shaughnessy, Joyce , Twelves, Chris , Im, Seock‐Ah , Hannah, Alison L., Lü, Lin , Sy, Sherwin K. B. , Caygill, Katie, Zajchowski, Deborah A., Davis, Darren W. , Tagliaferri, Mary , Hoch, Ute , Perez, Edith A. , Im, Seock-Ah , Awada, Ahmad , Rugo, Hope S. , Cortés, Javier

Mayo Clinic

Clinical Cancer Research | April 4, 2018 | Volume: 24 | Issue: 14 | Pages: 3348-3357

10.1158/1078-0432.ccr-17-3059 | PMID 29618616 Get It

Abstract Purpose: Preplanned exploratory analyses were performed to identify biomarkers in circulating tumor cells (CTC) predictive of response to the topoisomerase 1 inhibitor etirinotecan pegol (EP). Experimental Design: The BEACON trial treated patients with metastatic breast cancer (MBC) with EP or treatment of physician's choice (TPC). Blood from 656 of 852 patients (77%) was processed with ApoStream to enrich for CTCs. A multiplex immunofluorescence assay measured expression of candidate response biomarkers [topoisomerase 1 (Top1), topoisomerase 2 (Top2), Ki67, RAD51, ABCG2, γH2AX, and terminal deoxynucleotidyl transferase–mediated dUTP nick end labeling (TUNEL)] in CTCs. Patients were classified as Top1 low (Top1Lo) or Top1 high (Top1Hi) based on median CTC Top1 expression. Correlation of CTC biomarker expression at baseline, cycle 2 day 1 (C2D1), and cycle 4 day 1 with overall survival (OS) was investigated using Cox regression and Kaplan–Meier analyses. Results: Overall, 98% of samples were successfully processed, of which 97% had detectable CTCs (median, 47–63 CTCs/mL; range, 0–2,020 CTCs/mL). Top1, Top2, and TUNEL expression was detected in 52% to 90% of samples; no significant associations with OS were observed in pretreatment samples for either group. EP-treated patients with low C2D1Top1+ CTCs had improved OS compared with those with higher positivity (14.1 months vs. 11.0 months, respectively; HR, 0.7; P = 0.02); this difference was not seen in TPC-treated patients (HR, 1.12; P = 0.48). Patients whose CTCs decreased from Top1Hi to Top1Lo at C2D1 had the greatest OS benefit from EP (HR, 0.57; P = 0.01). Conclusions: CTC Top1 expression following EP treatment may identify patients with MBC most likely to have an OS benefit. Clin Cancer Res; 24(14); 3348–57. ©2018 AACR.