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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P2-15-03-P2-15-03
    Abstract: Background: Neoadjuvant endocrine therapy (NET) has long been limited to patients who were deemed medically unfit for immediate surgery or on clinical trials. Coronavirus disease 2019 (COVID-19) resulted in a global pandemic, which led to deferral of elective surgeries including breast surgeries for early stage breast cancer patients during March - June 2020. Institutional guidelines were developed based on societal recommendations, including NCCN, to use NET as a bridge to surgery. Objective: Primary objective was to establish a database of early stage HR+ Her2/neu- breast cancer patients diagnosed during COVID-19 who were treated with NET as a bridge to surgery. Secondary endpoints include correlation between duration of NET and changes in pathological variables. Method: This was a single institution, retrospective observational study from Perlmutter Cancer Center at NYU Langone Hospital and NYU Langone Hospital - Long Island of DCIS and early stage breast cancer patients diagnosed from March 15, 2020 - June 1, 2020 during COVID-19 pandemic. Inclusion criteria were males and females older than 18 years of age and initial diagnosis of DCIS or early stage HR+ Her2/neu- breast cancer who did not require neoadjuvant chemotherapy by established guidelines. Descriptive statistics were calculated separately by DCIS and invasive breast cancer using SAS version 9.4. Results: From March 15 - June 1, 2020, 13 patients who were diagnosed with DCIS and 41 patients with early stage HR+ Her2/neu- invasive breast cancer received NET (Table 1). Of the 41 patients with invasive breast cancer, 19 (46%) had Oncotype DX assay on biopsy specimens; 12/19 (63%) had scores 10-14 and 7/19 (37%) had scores 15-25. 38/41 (92.7%) had post-surgery Ki-67% and 16/38 (42.1%) demonstrated maturation arrest (Ki-67 & lt;2.7%). 26/41 (63%) invasive breast cancer patients had pre and post Ki-67% checked while on aromatase inhibitors (AI); 21/26 (81%) had a decrease in Ki-67%, 2/26 (7.7%) patients had no change, and 3/26 (11.5%) had an increase. Of those 21 patients, the percent change of Ki-67% from baseline was mean 69.15% ± 22.58 and median 71.83%. No significant associations with changes (pre to post) in Ki-67%, T stage, ER% and PR% in NET for ≤4 weeks and & gt;4 weeks (Table 2). Median duration of NET in invasive breast cancer was 6.85 weeks. 1 patient had a complete pathological response after NET and 2 patients were upstaged from DCIS to invasive carcinoma at the time of surgery. Conclusion: While the sample sizes are small, this is a unique cohort of early stage surgically resectable breast cancer patients who were treated with NET during the COVID-19 pandemic. This real-world data confirms pathological changes, especially decrease in Ki-67% even with short duration use of NET that has been reported in trials of neoadjuvant AI. Long term follow-up for survival outcome is planned. Table 1.Demographics of early stage breast cancer patients diagnosed during COVID-19.DCIS (n=13)Invasive Breast Cancer (n=41)Total (n=54)Menopause status (n, %)Pre-menopause7 (53.8)6 (14.6)13 (24.1)Post-menopause6 (46.2)35 (85.4)41 (75.9)Diagnosis (n, %)Self-Palpated08 (19.5)8 (14.8)Screening13 (100)33 (80.5)46 (85.2)Age (n, %)≤503 (23.1)5 (12.2)8 (14.8)50+10 (76.9)36 (87.8)46 (85.2)Clinical Stage (n, %)Tis13 (100)013 (24.1)I037 (90.2)37 (68.5)II04 (9.8)4 (7.4)NET in weeks (n, %)≤43 (23.1)11 (26.8)14 (25.9)4+10 (76.9)30 (73.2)40 (74.1)Genomic Testing (n, %)Oncotype DX019 (86.4)19 (86.4)ProSigna03 (13.6)3 (13.6)Mammaprint000 Table 2.No significant associations with changes in pre to post in T stage, ER%, PR% or Ki-67% in patients treated with NET for ≤4 weeks and & gt;4 weeks.≤4 weeks & gt;4 weeksp-valueChange in T stage0.5810Decrease2 (27.27%)8 (26.67%)No change7 (63.64%)15 (50%)Increase1 (9.09%)7 (23.33%)Change in ER%0.2444Decrease4 (36.36%)9 (30%)No change4 (36.36%)5 (16.67%)Increase3 (27.27%)16 (53.33%)Change in PR%1.0000Decrease7 (70%)21 (70%)No change2 (20%)5 (16.67%)Increase1 (10%)4 (13.33%)Change in Ki-67%0.3224Decrease4 (66.67%)17 (85%)No Change1 (16.67%)1 (5%)Increase1 (16.67%)2 (10%) Citation Format: Julie Huang, Joshua Feinberg, Bahram Dabiri, Jordan Baum, Meredith Akerman, Anthony Pasquarella, Abhinav Rohatgi, Shubhada Dhage, Amber Guth, Nina D'Abreo. Neoadjuvant endocrine therapy (NET) as bridge therapy for early stage breast cancer during COVID-19: A single institution experience [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-15-03.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P5-14-20-P5-14-20
    Abstract: Background: Coronavirus disease 2019 (COVID-19) resulted in a global pandemic, which led to deferral of surgeries for early stage breast cancer during March - June 2020. Institutional guidelines were developed to use neoadjuvant endocrine therapy (NET) as a bridge to surgery. As a follow up to initial data presented at SABCS 2020 demonstrating patient acceptance of NET, the present study provides results from a survey which explored psychosocial factors associated with medication compliance. Objective: Primary objective was to identify any barriers to compliance with NET. Method: This was a single institution, prospective study that surveyed patients diagnosed with DCIS and early stage breast cancer at Perlmutter Cancer Center at NYU Langone Hospital and NYU Langone Hospital - Long Island from March 15, 2020 - June 1, 2020. Questions were based on the Beliefs about Medicines Questionnaire specific for endocrine therapy (BMQ-AET) and the Medication Adherence Report Scale. Responses were recorded on a Likert scale and included 7 questions regarding perceptions about breast cancer treatment, 10 questions addressing experience with NET, and 5 questions gauging at adherence to NET. Inclusion criteria were males and females older than 18 years old, with an initial diagnosis of DCIS or early stage HR+ Her2/neu- breast cancer, who were prescribed NET. Descriptive statistics were calculated and subgroups were compared using Fisher’s exact tests. Analyses were performed using SAS version 9.4. Results: From March 15 - June 1, 2020, 13 patients were diagnosed with DCIS and 29 patients with HR+ Her2/neu- breast cancer for whom NET was recommended. Demographics are shown in Table 1. All 42 patients were female with an average age of 60.9 years. Majority of patients were post-menopause (74%) and predominantly white (64%), with an income of less than $60,000 (52.4%). Average NET duration was 6.7 weeks. Survey responses displayed in Table 2 indicate statistically significant p values in bold. Patients & gt;50 years old, post-menopause and invasive breast cancer had a stronger belief that NET would be helpful, resulting in greater perception to breast cancer treatment and higher adherence to NET. Patients treated with NET for greater than 4 weeks also felt that NET would make them feel well compared to ≤4 weeks. Interestingly, no significant differences in responses based on education or income level were observed. Conclusion: COVID-19 pandemic presented a unique opportunity to use NET, which is often underutilized outside of clinical trials. In this single institution prospective study, we found that post-menopause patients greater than 50 years old with invasive breast cancer perceived hormonal therapy as beneficial to their health, resulting in increased medication compliance. These findings can be used when counseling patients currently treated with NET as well as those patients may be appropriate for NET in the post-COVID era. Table 1.Demographics of early stage breast cancer patients diagnosed during COVID-19.DCIS (n=13)Invasive Breast Cancer (n=29)Total (n=42)Menopause Status (n, %)Pre-menopause7 (53.8)4 (13.8)11 (26.2)Post-menopause6 (46.2)25 (86.2)31 (73.8)Diagnosis (n, %)Self-Palpated06 (20.7)6 (14.3)Screening13 (100)23 (79.3)36 (85.7)Age (n, %)≤504 (30.8)4 (13.8)8 (19)50+9 (69.2)25 (86.2)34 (80.9)Average Age (range)54.9 (40 – 72)63.6 (32 – 85)60.9 (32 – 85)Race (n, %)White7 (53.8)20 (69%)27 (64.3)Non-White6 (46.2)9 (31%)15 (35.7)Education (n, %)K-121 (7.7)6 (20.7)7 (16.7)College and Graduate12 (92.3)23 (79.3)35 (83.3)Income (n, %)$0 – $60,0005 (38.5)17 (58.6)22 (52.4)$ & gt;60,0017 (53.8)12 (41.3)19 (45.2)No response1 (7.7)01 (2.4)NET in Weeks (n, %)≤45 (38.5)7 (24.1)12 (28.6)4+8 (61.5)22 (75.9)30 (71.4) Table 2.Perceptions of breast cancer and hormonal therapy.Perceptions About Hormonal TherapyPerceptions About Breast Cancer TreatmentAdherence To Hormonal TherapyMy health at present depends on me taking hormone treatment (p-value)Hormone treatment is a mystery to me (p-value)My health in the future will depend on me taking hormone treatment (p-value)Taking hormone treatment makes me feel I am taking positive steps to remain well (p-value)How much do you feel that your current hormone therapy can help? (p-value)How much do you feel that you need your current hormone therapy? (p-value)I miss out on a dose (p-value)I stop taking medication for a while (p-value)Age & gt;50 vs. ≤500.04020.56510.00580.08330.04770.87370.04831.0000Post-Menopause vs. Pre-Menopause0.00330.02720.00530.13380.00060.24520.01661.0000Invasive vs. DCIS0.00381.00000.00450.16480.01810.00011.00000.0133Non-White vs. White0.47420.04340.76400.05220.91430.77730.61280.1369Duration of NET: ≤4 vs. & gt;4 weeks0.43190.49971.00000.02840.11390.75430.05220.8833Screening vs. Self-Palpated0.51100.02560.62571.00000.44230.05930.47760.6353K-12 vs. College/Graduate0.43660.65400.16151.00000.41450.67531.00000.8321Income: ≤$60,000 vs. & gt;$60,0000.54590.27860.59900.85690.09530.07000.78980.0581 Citation Format: Julie Huang, Joshua Feinberg, Meredith Akerman, Anthony Pasquarella, Abhinav Rohatgi, Bahram Dabiri, Jordan Baum, Shubhada Dhage, Amber Guth, Nina D'Abreo. Neoadjuvant endocrine therapy (NET) during COVID-19: Single institution survey of patients’ perspectives [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-14-20.
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    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P5-07-05-P5-07-05
    Abstract: Introduction: Young women with estrogen receptor (ER)-positive early-stage breast cancer (EBC) frequently present with larger, higher-grade, more aggressive tumors, with lower ER expression than older women. Post-hoc analyses within the MINDACT and TAILORx cohorts reported that women aged 40-50 with ER+ EBC exhibited a chemotherapy benefit independent of genomic risk compared to women aged & gt; 50, possibly due to chemotherapy-induced ovarian suppression (CIOS). However, women & lt; 40 years, who seldom develop CIOS, are under-represented in clinical trials. Therefore, it is important to distinguish the tumor biological profile within this younger age group. To understand the biological basis underlying why younger women have poorer outcomes than older women, this study aimed to identify genes that distinguish tumors in younger women from older women. Methods: EBC patients enrolled in the FLEX study (NCT03053193) undergo standard of care MammaPrint (MP) and BluePrint (BP) tests, and consent to clinically annotated whole transcriptome data collection. MP categorizes tumors as High Risk (HR) or Low Risk (LR) of recurrence. Together, MP and BP classify molecular subtype as Luminal A, Luminal B, HER2, or Basal. Whole transcriptome gene expression differences were compared among ER+ tumor specimens from three age groups: & lt; 40 years old (n=283), 40-54 years old (n=1535), and ≥ 55 years old (n=4355). Differentially expressed genes (DEGs) were identified from 100 randomized iterations for each comparison; an equal number of LR and HR samples were analyzed in each group. DEGs found in & gt; 20 iterations indicated gene stability within the age group. DEGs were also identified within each age group after correcting for BP subtype, and between pre-menopausal (n=1314) and post-menopausal (n=4859) women. Gene expression data were quantile normalized using R package ‘limma’. DEGs with an adjusted p & lt;0.05 and fold change ≥ 2 were considered significant. Results: Overall, 76.0% of women & lt; 40 years, 53.6% of women aged 40-54, and 48.5% of women ≥ 55 years had MP HR tumors. In addition, women & lt; 40 years had higher frequencies of BP Basal and HER2 tumors (20.5% and 9.2%, respectively) compared with women ≥ 55 years (8.0% and 2.4%, respectively; p & lt;0.0001). In line with unsupervised hierarchical clustering and previous studies, tumors from patients aged 40-54 exhibited limited DEGs in comparison to women ≥ 55 years. In contrast, most gene expression differences were primarily observed between women & lt; 40 and ≥ 55 years (11 DEGs; 10 downregulated and 1 upregulated). We identified limited DEGs within BP Luminal A (n=23), Luminal B (n=10), and Basal (n=7) tumors from women aged & lt; 40 relative to women ≥ 55 years. No DEGs were found in HER2-type tumors. Within Luminal A and Basal tumors, upregulated genes in women & lt; 40 years are important for proliferation and immune responses. Luminal B tumors in women aged & lt; 40 have increased DEGs involved in ER and HER2 signaling. Within all subtypes, DEGs supporting metabolic functions were downregulated in tumors of women & lt; 40 years compared with women ≥ 55 years. Few DEGs were observed between pre-menopausal women and post-menopausal women, though none with & gt; 2-fold change. Conclusion: Tumors from women aged 40-54 had few DEGs, suggesting observed chemotherapy benefit represents differences in host biology rather than intrinsic tumor biology as compared with tumors from women & lt; 40 or ≥ 55, where detected DEGs are associated with proliferation, receptor signaling, and metabolism. Fewer DEGs were observed by menopausal status than age, indicating age is a more relevant cutoff. Future studies will aim to further characterize this high risk young patient population. Citation Format: Shubhada Dhage, Mina Gendy, Nina D'Abreo, Ruth Oratz, Sami G. Diab, VK Gadi, Cathy Graham, Midas Kuilman, Shiyu Wang, Patricia Dauer, Andrea Menicucci, William Audeh, Douglas K. Marks. Deciphering the inferior prognosis of young women with estrogen receptor-positive early-stage breast cancer through full transcriptome analysis: A FLEX database sub-study [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-07-05.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 4
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    American Society of Hematology ; 2016
    In:  Blood Vol. 128, No. 22 ( 2016-12-02), p. 2343-2343
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2343-2343
    Abstract: Introduction Heparin induced Thrombocytopenia (HIT) is a life threatening condition that can lead to significant morbidity and mortality in hospitalized patients. Thrombocytopenia in the setting of unfractionated heparin (UFH) exposure is a common occurrence in hospitalized patients and its diagnosis and management is associated with increased costs to the healthcare system. There is a 5-10X decreased risk of HIT with low molecular weight heparin (LMWH)(Martel N, et al. Blood. 2005;106 (8):2710-2715) while the incidence with fondaparinux is much more rare (Warkentin TE et al; Blood 2005, 106: 3791-3796). We conducted a single center, retrospective study to assess the correlation of HIT antibody (Ab) testing to '4T' score and the associated financial burden in our institution. Method Data collection Using retrospective chart review, we identified 78 hospitalized patients between 11/11/15 and 6/7/16 from various departments that underwent HIT Ab testing. The '4T' score was calculated as per Table 1. Data including admission service, type and duration of anticoagulation (AC) prior to and after HIT testing, HIT Ab and Serotonin release assay (SRA) positivity, type and duration of non-heparin AC and days of hospitalization were collected. HIT Ab was measured using platelet factor 4 complexed polyvinyl sulfonate (PVS) coated to the wells of a microtiter plate (Labcorp Burlington Test 150075). Patients with positive HIT (Optic Density 〉 0.4) were reflexed to confirmatory SRA (LabCorp Burlington Test 150018). Cost Analysis Pharmacy acquisition cost of non-heparin AC (argatroban /fondaparinux) used as empiric treatment during the HIT testing period was recorded. Pharmacy acquisition cost was also used to predict cost of prophylactic LMWH and fondaparinux for the same duration. Daily dose of continuous UFH was standardized to a 70Kg patient/day. The cost of testing for HIT incurred by the facility was obtained. Statistical analysis was done using ANOVA on VassarStats.net online computation. Results Seventy eight patients had HIT Ab evaluated (Table 2). 26.9% (n=21) had a positive HIT Ab test, and 2.5% had a positive SRA test (n=2). Of the 78 cases analyzed, 48 were categorized as low risk, 24 as intermediate, and 8 as high using the 4T score. HIT Ab testing was positive in 23.9% of low risk, 29% of intermediate risk and 37.5% of high risk patients. SRA was positive in only 2.5% of cases; 1 in the low risk and 1 in the high risk group (n=2) (Table 2). Breakdown of AC during hospital stay showed that 52% (n=41) had UFH on admission, 70% (n=29) of which was for DVT prophylaxis; however 56% (n=23) of these did not have heparin exposure within 100 days of admission. 18% (n=14) were placed on SCDs, 6 of which had no known heparin exposure within 100 days of admission. 23% (n=18) were exposed to prophylactic LMWH, 2.5% (n=2) to therapeutic LMWH, 1.2% (n=1) to dabigatran, apixaban and fondaparinux each (Table 3). Cost Analysis The total average cost per patient with suspected HIT requiring laboratory evaluation was $431.15 (n=78). If a patient required full dose non-heparin anticoagulation, the average cost increased to $1274.98 per patient (n=20) and average duration of anticoagulation was 4 days. Average length of hospitalization for patients suspected of HIT was 18.7 days. Using enoxaparin as an anticoagulation during this period would have cost on average $68.46 per patient, while the use of fondaparinux would cost $179.01. Conclusion Evaluation for HIT and empiric management poses a significant burden of expense on our strained healthcare system. The 4T score has been useful in predicting HIT positivity in other studies (Lo GK, J Thromb Haemost. 2006 Apr;4(4):759-65). In this study conducted in a real-world clinical setting however, we found the 4T score was not universally applied to calculate pretest probability. A suspicion of HIT cost on average $431 per patient per hospitalization. A positive HIT Ab lead to an expense of $955. Confirmed HIT by SRA, resulted in an expense of $1557 per patient per hospitalization. Of note, length of stay and patient discomfort was not included in the analysis. Improved education regarding pretest probability using 4T score is warranted, however using LMWH or non-heparin alternative as DVT prophylaxis may be the most cost-effective approach in today's cost-conscious, high-value healthcare system. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 5
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    Oxford University Press (OUP) ; 2013
    In:  American Journal of Clinical Pathology Vol. 140, No. suppl 1 ( 2013-09-01), p. A055-A055
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 140, No. suppl 1 ( 2013-09-01), p. A055-A055
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2013
    detail.hit.zdb_id: 2039921-2
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 1513-1513
    Abstract: 1513 Background: In high-risk estrogen-receptor positive, HER2 positive, or triple negative breast cancer (BC), chemotherapy can increase cure rates in early-stage disease and prolong survival in setting of advanced disease. Real world data specific to BC is needed to counsel patients (pts) with BC on their risk for SARS-CoV-2 infection and mortality in the context of the SARS-CoV-2 pandemic. Methods: In this retrospective study, we abstracted clinical data including demographics, tumor histology, cancer treatment, and COVID-19 testing results status from the electronic medical record of 3778 BC patients who received cancer care from 02/01/2020 – 05/01/2020 in New York City at our cancer center. The primary endpoint of the study was incidence of SARS-CoV-2 infection by treatment type (cytotoxic chemotherapy (CT) vs non-cytotoxic therapies (endocrine and/or HER2 directed therapy (E/H)) diagnosed by either serology, RT-PCR, or documented clinical diagnosis. Probability of Treatment Weighting (IPTW) and Mann-Whitney Test were used to assess risk of SARS-CoV-2 infection by treatment and assess outcomes based on oncologic and non-oncologic risk factors respectively. Results: 3062 patients met inclusion criteria with 379 pts in CT, 2343 pts in E/H and 340 in NT groups. During study period 641 patients (20.9%) were tested by either PCR or serology with 64 patients (2.1%) diagnosed with COVID-19. All pts who tested positive by PCR and subsequently had serology testing were positive for IgG. The weighted risk of SARS-COV-2 infection was 3.5% in CT vs. 2.7% in E/H (p=0.523). 27 patients (0.9%) expired over follow up, with 10 deaths attributed to SARS-CoV-2 infection. The weighted risk for death was 0.7% with CT vs. 0.1% with E/H, p=0.24 (Table A). Age, BMI,CCI and advanced cancer stage were associated with increased mortality following SARS-CoV-2 infection (Table). Conclusions: CT was not associated with increased risk of infection with SARS-CoV-2 infection or death following infection. BC cancer treatment, including CT, can be safely administered with enhanced infectious precautions and should not be withheld particularly when given for curative intent.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 7
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 565-565
    Abstract: 565 Background: Recent prospective clinical trials have demonstrated a differential chemotherapy effect based on age (≤ 50 vs. 〉 50 years) or menopausal status (pre- vs. post-) in a genomic low risk group. Whether this is a direct anti-tumor effect of chemotherapy or a secondary ovarian function suppression effect caused by chemotherapy is unclear. We aimed to compare the biological characteristics of breast cancer tumors from patients aged ≤ 50 years and from patients aged 〉 50 years using whole transcriptome analysis to provide insights into this differential chemotherapy response. Methods: The FLEX Registry (NCT03053193) enrolls stage I-III breast cancer patients who receive 70-gene signature (MammaPrint/MP) test with or without 80-gene signature (BluePrint/BP) test and consent to clinically annotated transcriptome data collection. 3868 patients with HR+HER2- tumors were evaluated, of whom 808 were aged ≤ 50 years and 3060 were aged 〉 50 years. Clinical risk was assessed based on the MINDACT algorithm. MP classified tumors as low risk (LR) or high risk (HR). HR was stratified to H1 or H2; H2 exhibits a greater chemotherapy response. BP and MP classified tumors as luminal A-, luminal B-, HER2-, or basal-type. Differences in MP, BP, and clinical features were assessed by chi-squared or t test. For gene expression analysis, older patients were randomly selected to obtain an equal sample size as younger patients. Differentially expressed genes (DEGs) were detected using limma and considered significant with FDR 〈 0.05 and fold change ≥ 2. Results: Approximately 70% of patients aged ≤ 50 were pre or peri-menopausal, whereas 90% of patients aged 〉 50 were post-menopausal. A higher proportion of patients aged ≤ 50 had tumors of high clinical risk (54%) compared to patients aged 〉 50 (39%) (p 〈 0.001). Approximately 53% of patients aged ≤ 50 had a HR tumor, of whom 25% classified as H2, while patients aged 〉 50 had a lower frequency (44%) of HR tumors (p 〈 0.001). Additionally, younger patients had more tumors that classified as BP Luminal B and Basal-type than older patients (p 〈 0.001). Principal component analysis of the top 500 genes with the highest variance revealed no distinct clustering by age group. Accordingly, only 5 DEGs were detected in tumors from patients aged ≤ 50 compared to patients aged 〉 50, and even fewer DEGs were detected when adjusting for MP risk and BP subtype group. Conclusions: Whole transcriptome analysis identified no substantial differences in gene expression between tumors, including Low Risk Luminal-type tumors, from women aged ≤ 50 (mostly pre or peri-menopausal) and women aged 〉 50 (mostly post-menopausal). These data support the likely explanation that the observed age-dependent difference in chemotherapy benefit in women ≤ 50 or 〉 50 years of age is not due to intrinsic biological differences in breast cancers due to age, but rather to differences in the effect of chemotherapy on the host. Clinical trial information: NCT03053193.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. TPS3155-TPS3155
    Abstract: TPS3155 Background: Genomic signatures are revolutionizing the definition, identification, and treatment of breast cancer. To precisely stratify breast cancers into actionable subgroups, full genome expression data and matching clinical data must be aggregated into a large data set. Such a data set will accelerate research and discovery, especially for smaller patient subsets who are not as widely represented within the current body of literature. Methods: FLEX is a multicenter, prospective, population-based, observational trial for patients with Stage I, II, and III breast cancer. All patients with stage I to III breast cancer who receive MammaPrint, with or without BluePrint on a primary breast tumor are eligible for enrollment. The study’s primary aim is to create a large scale, population-based registry of full genome expression data matched with clinical data to investigate new gene associations with prognostic and/or predictive value. Secondary objectives include utilizing the shared study infrastructure to examine and generate hypotheses for targeted subset analyses and/or trials based on full genome expression data. The design of FLEX allows targeted sub-studies and sub-analyses to be added as appendices after the initial baseline study is opened. Patients enrolled in the initial study are also eligible for inclusion in sub-studies where they meet all criteria and additional consent is not required. Additional clinical data will be collected as specified in the appendix protocols. The FLEX collaborative platform allows participating investigators the opportunity to author their own sub-study protocols, as approved by the FLEX Steering Committee of their peers. 13 sub-studies have already been identified and are under development. Eligibility: The study will enroll a minimum of 10000 patients aged ≥18 years with histologically proven invasive stage I-III breast cancer who signed informed consent. Enrollment began April 2017 and 1506 patients have been enrolled. Clinical trial information: NCT03053193.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
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  • 9
    In: Blood, American Society of Hematology, Vol. 110, No. 11 ( 2007-11-16), p. 1987-1987
    Abstract: Mortality rates after allogeneic hematopoietic cell transplantation for hematological malignancies remains high. Recently, a 50-point pretransplantation assessment of mortality (PAM) score was developed by clinical investigators at the Fred Hutchison Cancer Research Center utilizing eight pre-transplant clinical variables including age, donor type, disease risk, conditioning regimen, percentage of predicted FEV1, percentage of predicted DLCO, serum creatinine level and serum ALT level. The PAM score performed well to predict risk of death in the first two years after allogeneic hematopoietic cell transplantation. The objective of our study was to validate the PAM score in a retrospective cohort of patients that underwent allogeneic hematopoietic cell transplantation at Hahnemann University Hospital from 1986 until 2006. 400 patients underwent allogeneic hematopoietic cell transplantation from 1986 to 2006. 170 patients were found to be eligible for retrospective analysis since pre- transplant serum alanine aminotransferase (ALT) levels were not available for the remaining 230 patients. The PAM score was calculated for each patient using the scoring system outlined in the original article. The patients were categorized into four cohorts with scores ranging from 9 to 16 for category 1 (probability of death, 25%), from 17 to 23 for category 2 (probability of death, 25% to 50%), from 24 to 30 for category 3 (probability of death, 50% to 75%), and from 31 to 44 for category 4 (probability of death, 75%). Kaplan- Meier survival curves were generated for each of the four categories. Overall mortality was 62.9% at 2 years. PAM scores ranged from 11 to 36. 41 patients were grouped into category 1, 71 into category 2, 48 patients into category 3 and 10 patients into category 4. Mortality at 2 years was 39% in category 1, 56.3% in category 2, 85.4% in category 3 and 100% in the high-risk category. Compared to the low risk group, group 2 had a hazard ratio of 1.64 (p = 0.092, CI: 0.92 to 2.94); group 3 had a hazard ratio of 3.996 compared to the low risk group (p & lt; 0.001, CI: 2.23 to 7.16) and group 4 had a hazard ratio of 6.73 versus the low-risk group (p & lt; 0.001, 95% CI: 3.01 to 15.04). In conclusion, the PAM score successfully classified patients into distinct survival groups (p & lt; 0.001 for the comparison by log-rank test). Higher PAM scores were associated with progressively increased risk of death. Figure Figure
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2007
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 556-556
    Abstract: 556 Background: Genomic tests, such as MammaPrint (MP) and Oncotype DX Breast Recurrence Score (RS), assess risk of recurrence in patients with early breast cancer (EBC). Using both assays may yield discordant results which leads to uncertainty in treatment recommendations. The assays differ in technology and genes analyzed. RS relies on RT-PCR to query 16 cancer-related genes and 5 controls. MP uses a microarray to query 70 cancer-related genes and 465 normalization controls. Here we explore the genetic basis for discordance by using the FLEX whole transcriptome database to examine differentially expressed genes among patients who received discordant RS and MP results. Methods: Patients with EBC enrolled in the FLEX study (NCT03053193) undergo standard of care MP and BluePrint (BP) tests, and consent to clinically annotated whole transcriptome data collection. MP stratifies risk of recurrence as Low risk and High. RS classifies patients as Low Risk (RS 0-10), Intermediate (RS 11-25), and High Risk (RS 26-100). Due to low representation of BP Basal and BP HER2-type tumors in this data set, we only examined BP Luminal-type tumors (N = 705). We used full genome transcriptomes to compare gene expression among discordant cases. Gene expression data were quantile normalized and analyzed using R package ‘limma’. Genes were considered differentially expressed at a fold change of at least 1.7 and an adjusted p-value of lower than 0.05. To keep the analysis as unbiased as possible, comparisons between RS categories only included tumors within the same MP score range and similarly comparisons of MP categories only contained tumors within the same RS score range. Results: The comparisons between discordant cases, their numbers and the amount of differentially expressed genes (DEGs) are shown below. Sample sizes are shown in parentheses. Of the 49 DEGs found in the RS Intermediate group, several are associated with increased proliferation or increased metastatic potential. SCUBE2 and MMP9 were among the 49 genes and are among the 70-genes assayed by MP. Conclusions: The comparisons highlight the genomic diversity of the RS Intermediate (RS11-25) group, as seen with the high number of DEGs. MP separates cases into more genomically distinct categories, as reflected by fewer DEGs. Clinical trial information: NCT03053193. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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