Citations

This prospective, observational pilot study was conducted on an academic inpatient rehabilitation unit. Ninety-three persons with spinal cord dysfunction or severe neurological illness participated. All completed admission surveys; 46 completed surveys six months after discharge. The aims were to describe admission and post-discharge spirituality and associations between spirituality and rehabilitation outcomes. At admission, participants reported spirituality similar to that of other samples of medical patients. After discharge, frequency of private spiritual practices increased and spiritual and existential well-being decreased. No significant associations were detected between spirituality and rehabilitation outcomes. Findings suggest the importance of spirituality to the participants and future research with a larger sample and modifications to the methodology.

This study's aims were to describe the spirituality of depressed elderly psychiatric inpatients and to examine associations among spirituality, depression, and quality of life (QOL). Forty-five persons participated. Most reported frequent, stable spiritual practices and experiencing spiritual comfort and guidance. Some reported spiritual distress and changes in spirituality. During hospitalization, participants demonstrated increased spiritual well-being (SWB) and peacefulness, and reduced hopelessness, worthlessness, and guilt. Positive associations were found between SWB and QOL and negative associations between SWB and depression.

Chaplains' involvement in spirituality and health research can contribute something vital and unique to these investigations. It can also provide opportunity for professional growth and increased effectiveness. This article describes the authors' experience as co-investigators in a randomized controlled trial involving patients with a life expectancy of less than five years receiving radiation therapy for advanced cancer. It also discusses the application to clinical settings and other research.

Abstract Background: The Preoperative Endocrine Prognostic Index (PEPI) is a method to predict outcome after neoadjuvant endocrine therapy that integrates Ki67, estrogen receptor (ER) analysis and pathological stage from the surgical specimen (Ellis, JNCI 100:1380, 2008). We sought to further develop the PEPI for use in clinical trials by: a) establishing an efficient SOP for Ki67 analysis, b) determining the effect of simplifying the score by removing the ER component (modified "mPEPI") and c) independent validation of mPEPI in the ACOSOG (Alliance) Z1031 neoadjuvant aromatase inhibitor trial (Ellis, M, JCO 29:234, 2011). Methods: Ki-67 assay development focused on reproducing a 2.7% Ki-67 cut point (CP) required for PEPI. Ventana Image analysis (IA) to replace labor-intensive visual point counting (VPC) was assessed to increase scoring efficiency. Discordant scores led to a triage approach where cases with complex histological features that could not be resolved by IA were flagged for VPC. The Ki-67 scoring approach was preliminarily validated on T1/2 N0 cases from the P024 and POL trials (SABCS 2013, abstract P3-05-190). Models with and without ER suggested ER was dispensable. A locked SOP for mPEPI was subsequently applied to the Z1031A trial. The primary endpoint was time from the date of surgery to local, regional, or distant recurrence in the mPEPI-0 group (T1/2 N0, Ki67 <2.7%) versus the mPEPI>0 group. Results. mPEPI by IA was evaluated on 202 of 377 (53%) patients enrolled into Z1031A (6% of IA results were triaged to VPC). All patients have been followed a minimum of 2 years (median: 5 years; max: 7 years). Only 10 patients in the mPEPI-0 group (22.7%) received adjuvant chemotherapy, versus 78 in the mPEPI>0 group (49.4%). Time to breast cancer recurrence was decreased among those with mPEPI>0 status relative to those with mPEPI-0 status (log rank p=0.012). Only one disease event among 44 (2%) cases with mPEPI-0 was observed versus 26 of 158 cases with mPEPI>0 (16.5%) Conclusions. mPEPI-0 status can identify patients at low risk of relapse after neoadjuvant endocrine therapy: therefore mPEPI-0 status has operational characteristics similar to pCR after chemotherapy for ER-negative disease. mPEPI is undergoing prospective validation in the Alliance ALTERNATE trial that will assess whether Fulvestrant increases the mPEPI-0 rate and also will prospectively determine whether patients with mPEPI-0 status can safely be managed without adjuvant chemotherapy treatment. Citation Format: Souzan Sanati, Vera J Suman, Rodrigo Goncalves, Katherine DeSchryver, Cynthia X Ma, Jeremy Hoog, Erika Crouch, Michael Barnes, Gary Unzeitig, A Marilyn Leitch, Kelly K Hunt, Matthew J Ellis. Validation of the preoperative endocrine prognostic index in the ACOSOG (Alliance) Z1031 neoadjuvant aromatase inhibitor trial [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-11-13.

Abstract Neoadjuvant endocrine therapy (ET) in patients (pts) with locally advanced estrogen receptor positive (ER+) breast cancer (BC) improves breast conservation rate, and importantly offers an opportunity for individualized assessment of tumor responsiveness to ET to guide subsequent treatment. Previous neoadjuvant ET trials demonstrated that pathologic tumor size (pT), axillary lymph node status (N), and tumor Ki67 value at surgery predicted risk of relapse. Preoperative endocrine prognostic index (PEPI) was therefore developed to assign risk scores based on these factors. Modified PEPI 0, defined by pT1-2 N0 Ki67< 2.7%, was associated with extremely low risk of recurrence without adjuvant chemotherapy. In addition, high Ki67 post 2-4 weeks (wks) of neoadjuvant ET identified resistant tumors with poor outcome. ALTERNATE trial is a three-arm phase III neoadjuvant/adjuvant ET trial designed to achieve two primary objectives. The first is to prospectively validate that modified PEPI 0 predicts > 95% relapse-free survival (RFS). The second is to determine whether fulvestrant (F), or fulvestrant (F) plus anastrozole (A), is superior to A in inducing a higher rate of modified PEPI 0. Secondary objectives include assessing RFS for pts with endocrine resistant tumor, defined by Ki67 > 10% at 4 or 12 wk, disease progression, or modified PEPI non-0, and pathologic responses of resistant tumors to neoadjuvant chemotherapy. Correlative studies include degrees of Ki67 suppression and ER level post treatment. In addition, ongoing research sequencing studies of DNA and RNA will be performed to contrast sensitive vs resistant tumors. During the first phase of the trial, 1200 pts are randomized 1:1:1 to the F, A or F/A. This provides an 82% chance, 1-sided alpha 0.025 chi-square test to detect at least 10% difference in modified PEPI 0 rate comparing F or F/A with A. While waiting for result of analysis, the A arm will continue for the 2nd phase enrollment. Only the F-containing arm(s) superior over A will be continued to the 2nd phase. During the 2nd phase, an additional 540 pts in each arm is estimated to obtain 317 pts with PEPI score 0. This will have a 90% chance, with a one-sided alpha=0.025 nonparametric Brookmeyer-Crowley type one sample survival test, rejecting that 5 year RFS rate is 95%. The maximum sample size is 2820 pts. Eligible pts include postmenopausal women with newly diagnosed clinical stage II or III ER+ (Allred score 6-8) HER2- BC. Tumor biopsy is required at baseline, 4 wk, and surgery for central Ki67 analysis. Treatment decision is individualized based on 4 wk Ki67 and modified PEPI score. Pts with Ki67 > 10% at 4 wk are switched to chemotherapy. Pts with a modified PEPI score of 0 are recommended not to receive chemotherapy, but continue the assigned ET for 1.5 years followed by 3 years of A. This trial is currently accruing pts through CTSU. This research is supported in part by NCI BIQSFP, and grants from Breast Cancer Research Foundation, Genentech, and the Investigator-Sponsored Study Program of AstraZeneca. The Clinical Trials.gov Identifier: NCT01953588. Citation Format: Cynthia X Ma, Vera Suman, A Marilyn Leitch, Souzan Sanati, Katherine DeSchryver, Gary W Unzeitig, Paul Haluska, Mark Watson, Olwen Hahn, Jo Anne Zujewski, Kelly Hunt, Eric P Winer, Cliff A Hudis, Matthew J Ellis. Alliance A011106: ALTernate approaches for clinical stage II or III Estrogen Receptor positive breast cancer NeoAdjuvant TrEatment (ALTERNATE) in postmenopausal women: A phase III study [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr OT2-1-04.

Abstract Oncolytic replication competent viruses are increasingly being tested in clinical trials. Their optimal use would be greatly facilitated by technologies that enable repeated and quantitative estimation of the location and population size of the virus as it propagates within the tumor. To address this, we have generated two replication competent measles viruses (MV) that express the thyroidal sodium iodide symporter (NIS) in injected cells. One virus, MV-NIS is in Phase 1 clinical trials and kills cells by formation of syncytia. The second virus, MV-I98A-NIS has a mutation in the MV hemagglutinin protein that prevents syncytium formation and kills cells by lysis. Cells infected with MV-I98A-NIS remain viable for longer compared to MV-NIS and are expected to express higher concentrations of NIS, facilitating in vivo imaging. BxPC-3 human pancreatic carcinoma cells were implanted in the flank of nude mice. Subsequently, the mice were injected with Opti-MEM (control), MV-NIS or MV-I98A-NIS (1x107 TCID50/ml) via the tail vein. On days 3, 5, 8, 10, 12, 15, 17 and 19 after virus injection, mice from the control, and virus injected groups were imaged with SPECT/CT (U-SPECT II) 1 hour after injection of 99mTc. Immediately afterwards, the mice were euthanized, the tumors excised, weighed and isotope activity measured. The tumors were divided into parts for histologic analysis and RNA extraction. NIS gene expression was determined by Q-RT-PCR and immunohistochemistry, while viral genome copy number was determined by Q-RT-PCR for the nucleoprotein (N). Image analysis using ROI was performed using AMIDE with background correction across all imaging planes. There was no correlation between tumor mass (volume) and isotope uptake (R2=0.0001 and 0.0051 for MV-NIS and MV-I98A-Nis respectively) suggesting that isotope uptake was strictly linked to virus infection. There was a strong, linear correlation between the levels of virus dependent NIS expression and isotope activity within the tumor (R2=0.79 and 0.93 for MV-NIS and MV-I98A-NIS respectively). Tumors infected with MV-I98A-NIS had a higher concentration of isotope compared with MV-NIS (p<0.004) and a higher correlation coefficient of NIS isotope uptake versus NIS expression (14.1 mCi/NIS copies/ng RNA versus 11.5, p=0.003), compatible with the observation that tumor cells infected with MV-I98A-NIS remain viable for longer compared to MV-NIS. Activity within tumors increased as a function of time, compatible with ongoing virus replication and spread within the tumors. Correlation of imaging studies with NIS expression and viral genome copy number is ongoing. Our preliminary studies suggest that in vivo imaging can be used to accurately determine the size of the oncolytic virus population within a tumor as a function of time. These observations will be used to understand the dynamics of virus spread within tumors and optimize therapy. Citation Format: Mi-Yeon Jung, Matthew K. Ennis, Chetan P. Offord, David Dingli. Quantitative in vivo imaging of oncolytic virus replication. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4947. doi:10.1158/1538-7445.AM2014-4947

Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694

Abstract Germline mutations of BRCA1 and BRCA2 underlie joint susceptibility to breast and ovarian cancers, but do not account for all cases. Genome wide association studies show little overlap between common variants associated with breast and ovarian cancer susceptibility, whereas rare variants in genes initially identified as breast cancer susceptibility genes also confer susceptibility to ovarian cancer cases, unselected for breast cancer. Ovarian and breast tumors also are observed in Peutz-Jeghers and possibly in Lynch syndrome. To further elucidate rare germline susceptibilities for breast and ovarian cancer, we have ascertained a unique cohort of 90 BRCA1/2-negative probands with a personal history of breast cancer and ovarian/fallopian tube/peritoneal cancer, unselected for family history. Cases are from the clinical genetics services of Memorial Sloan-Kettering Cancer Center and University of Pennsylvania. Analysis is ongoing using both targeted and exome sequencing approaches. Germline DNA of 69 cases will be subjected to whole exome sequencing. A total of 21 additional cases will undergo targeted sequencing for 28 genes (8 cases) and an extended panel of 54 genes (13 cases). The majority of ovarian cancers are high-grade serous epithelial ovarian carcinoma (n=51), in combination with invasive ductal or DCIS (n=36), invasive lobular (n=4), or unspecified (n=11) breast cancers. The remaining ovarian subgroups comprise other epithelial subtypes; endometrioid (n=9), clear cell (n=3), mucinous and low-grade serous (n=3) and non-epithelial (n=4) or unclassified (n=20), in combination with invasive ductal or DCIS (n=21), invasive lobular (n=5) or unspecified (n=13) breast cancers. Preliminary analysis of the targeted set of genes in 69 cases, reveals 43 predicted pathogenic coding or splice site variants; 17 of which are within PALB2, MSH2, MSH6, BARD1, FANCE, CDKN2A, TP53, SETD2, SIRT1, BRIP1, RAD50, and RAD51D and are not seen in dbSNP138, 1000 Genomes or Exome Variant Server ESP6500 and 26 variants with reported frequencies in MUTYH, MSH6, MLH1, FAM175A, RAD50, UIMC1, JARID2, PHF3, SIRT1, MRE11A, ATM, BRCA2, TP53BP1, CDH1, RAD51D, BRCA1, BABAM1 of less than 1% allele frequency in public databases. Analysis of these variants across and within histologic subtypes is being undertaken to look for specific genotype-phenotype correlations. Analysis of novel candidate genes and pathways by co-segregation, functional analysis, as well as external replication is underway to determine whether shared rare variants, mutated genes, or altered pathways confer cancer susceptibility in this cohort. Germline susceptibility to breast and ovarian cancer is heterogenous and remains a critical research and clinical question. Improved understanding of the susceptibility genetics will allow further examination of the utility of targeted cancer prevention strategies in those who are found to be at risk. Citation Format: Kasmintan A. Schrader, Kara N. Maxwell, Joseph Vijai, Steven Hart, Tinu Thomas, Bradley Wubbenhorst, Lucia Guidugli, Robert Klein, Marina Corines, Liying Zhang, Susan Neuhausen, Jeffrey Weitzel, Namrata Gupta, Larry Norton, Clifford Hudis, Gad Getz, Mark Daly, Steven Lipkin, David Altshuler, Fergus Couch, Katherine Nathanson, Kenneth Offit. Determination of cancer susceptibility in probands with breast and ovarian cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3282. doi:10.1158/1538-7445.AM2014-3282

Abstract Massively parallel next generation sequencing data (NGS) has proved to be useful in identification of rare Mendelian disorders. Efforts are on-going to use NGS for discovery of novel rare variants in common disease etiology. Distinguishing rare private mutations from causal variants remains a major challenge in complex disorders. With decreasing cost, investigators are generating NGS data for common cancers. However, power and other considerations suggest that a consortia approach of pooling data is more likely to succeed where individual efforts fail. Combining data within such consortia brings its own level of challenges. We enumerate these challenges and suggest recommendations based on our experience of combining and harmonizing NGS data on 358 breast cancer samples from four centers; (City of Hope n=8, Mayo Clinic n=221, MSKCC n=96 and University of Pennsylvania n=33). Major concerns were ability of individual datasets to discover known and novel variations, depth of coverage across the exome, and quality of variants. Using pre- and post-processed data, we demonstrate an increased power for detecting variants when using a joint-calling method, quality control (QC) and quality assurance pre- and post-merge, as well as the advantages of combined annotations and filtering procedures. To generate a filtered list of high confident calls, we subset the data on Depth per Allele (DP), Genotyping Quality (GQ), Allele balance, Phred likelihood score (PL) as well as using frequency filters on the alternate allele both within the data and comparing against convenience control summaries. We describe general principles and QC measures to be adopted when NGS data is used from diverse sources, specifically applicable to large consortia. Note: This abstract was not presented at the meeting. Citation Format: Joseph Vijai, Steven Hart, Tinu Thomas, Bradley Wubbenhorst, Lucia Guidugli, Kasmintan Schrader, Kara Maxwell, Lauren Jacobs, Danylo Villano, Robert Klein, Steven Lipkin, Susan Neuhausen, Jeffrey Weitzel, David Altshuler, Fergus Couch, Kenneth Offit, Katherine Nathanson. Harmonization of next generation sequencing data within consortia for gene discovery in familial breast cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2378. doi:10.1158/1538-7445.AM2014-2378

Abstract Breast cancer is the number one diagnosed cancer in women. Luminal breast cancers express steroid hormone receptors (SR) and these cases can be effectively treated with endocrine therapies that block estrogen receptor (ER) activity or estrogen synthesis. Unfortunately, at least 40% of women develop resistance to anti-estrogen treatments and progress to metastatic disease. One of the important transitions from hormone responsive (ER+/PR+ luminal A) to refractory (ER+ luminal B) disease involves the loss of progesterone receptor (PR) protein expression. However, data from large clinical trials showed that exposure to a synthetic progestin (MPA) and estrogen, but not estrogen alone, increased breast cancer incidence and tumor grade. These data, while somewhat controversial, implicate PR action in breast cancer development and progression. PR isoforms (A and B) are ligand-activated transcription factors, though they can be activated in the absence of progestin via signaling pathways commonly elicited downstream of growth factor receptors. We have shown that growth factor signaling (EGF or heregulin) through PR-B can initiate rapid proliferation and survival of breast cancer cells growing in soft-agar. PR-B is phosphorylated and hyperactived by mitogenic protein kinases, including MAPK, CDK2, and CK2. Notably, over-expression and activation of Aurora A kinase (downstream of MAPKs) is associated with invasive breast cancer and poor prognosis. We hypothesize that activation of protein kinases commonly overexpressed in breast cancer provide a context for aberrant PR activity, resulting in upregulation of Her2/erbB2 signaling, EMT, and increased expression of mammary stem-cell mediators (stemness). To model this process, we over-expressed oncogenic Raf1 in ER+/PR+ MCF-7 breast cancer cells. MCF-7-Raf1 cells exhibited constitutive activation of the MAPK pathway and upregulation of both ER and PR mRNA and protein relative to parental controls. Addition of progestin to MCF-7-Raf1 cells increased PR phosphorylation and soft agar growth that was blocked by MLN8237, an Aurora kinase inhibitor. Interestingly, passage of MCF-7-Raf1 cells as mouse xenografts (1GX) led to rapid tumor progression that was associated with increased Aurora A phosphorylation, loss of PR mRNA and protein, expression of epithelial-to-mesenchymal (EMT) markers, increased stemness, and tamoxifen resistance. These data suggest that Aurora A kinase and PR cross-talk may drive early breast cancer progression in response to growth promoting signals. Targeting this cross-talk with Aurora kinase inhibitors and anti-progestins, in conjunction with conventional estrogen-blocking therapies, may improve survival outcomes by preventing progression to endocrine failure. MCF-7-Raf1 and MCF-7-Raf-1 (1GX) cells may provide a useful model for the study of SR-loss during luminal A to luminal B transition. Citation Format: Katherine A. Leehy, Tarah M. Regan Anderson, Andrea R. Daniel, Antonino B. D'Assoro, Carol A. Lange. Aurora A kinase and progesterone receptor cross talk in breast cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2107. doi:10.1158/1538-7445.AM2014-2107