Citations

11599 Background: It is unclear whether survival varies among breast cancer molecular subtypes without systemic and locoregional therapy. This study aims to evaluate the survival profile by molecular subtypes after surgery. Methods: In total, we evaluated 301 women with invasive breast cancer with stage I, II or III disease. Patients were classified into four major breast cancer subtypes by immunohistochemistry/FISH classifiers: luminal-A (ER+ and/or PR+/HER2-), luminal-B (ER+ and/or PR+/HER2+), HER2-enriched (HER2+/ER-/PR-) or basal-like (ER-/PR-/HER2-; triple-negative). Overall survival (OS) was analyzed by Kaplan-Meier analysis, and log-rank test for differences. Association between clinical outcome and subtype adjusting for breast cancer prognostic factors was assessed by multivariable Cox proportional hazards model. Results: All patients did not receive systemic chemotherapy and hormone therapy as well as radiation therapy. Luminal A was the most common subtype (N = 224), followed by basal-like (N = 43), luminal B (N = 21) and HER2-enriched (N = 13). Median follow-up for OS was 197 months (range: 1 – 273 months). Age at diagnosis was statistically different among the subtypes, with basal-like and luminal B having high proportions less than 50 years (P = 0.047). Patients with basal-like and HER2-enriched had more high grade tumors (P < 0.001). Notably, there was no difference in OS among the four subtypes (log-rank P = 0.983). In multivariable analysis, the adjusted hazard ratio (HR) was 1.1 for luminal A vs. luminal B (P = 0.781), 0.62 in luminal A vs. HER2-enriched (P = 0.273), or 0.67 in luminal A vs. basal-like (P = 0.158). In contrast, the adjusted HR were 2.2 in age less than 50 years (P = 0.0017), and 1.1 for number of positive nodes (P = 0.00074). Conclusions: OS, through long-term clinical follow-up, is not significantly different among molecular subtypes if not controlling for other prognostic factors in patients who only received surgery. Age and number of positive nodes are independent prognostic factors in patients with no systemic and locoregional treatments.

e21605 Background: Several studies have demonstrated patients have a poor understanding of prognosis, survival and effectiveness of chemotherapy, particularly in the setting of advanced cancer. This study examines oncology patients’ understanding of their illness based on accurate reporting of stage at diagnosis as well as knowledge of remission status. Methods: 208 cancer patients previously treated at our large community based cancer institute participated in The Consumer-Based Cancer Care Value Index (CCCVI) Field Survey. Electronic medical record (EMR) documentation of stage at diagnosis and remission status were compared to patients’ self-reported responses. Concordance of responses and variables influencing discordance were evaluated. Results: 51.0% of patients’ self-reported cancer stage matched the abstracted stage with the highest concordance in the advanced cancer patients (72%) versus stage I-III patients (36.4%-61.5%). Unexpectedly, discordance was lower among advanced cancer patients as compared to stage I-III patients (p = 0.0528) Those who were concordant for cancer stage at diagnosis were significantly more likely to be female (p = 0.001), under the age of 65 (p = 0.01), have an income greater than $60,000 (p = 0.03), and have more education (p = 0.02). 64.4% of patients’ self-reported remission status matched the abstracted status. Nearly 30% of patients were not sure about their status even when they were in remission. Conclusions: Our findings confirm that more than one quarter of patients with advanced cancer have poor illness understanding, as well as highlights that an even greater number of patients with early stage I-III cancers have poor illness understanding. These observations highlight the need to improve illness understanding for patients across the entire cancer continuum.

e20092 Background: More than 5,000 premenopausal women are diagnosed (dx’d) with lung cancer annually in the United States. Improvements in treatment are contributing to a growing population of young survivors. Limited data exist regarding the risk of treatment-related amenorrhea, a surrogate for infertility and early menopause, after systemic therapies for lung cancer. Methods: Since 1997, we mailed annual surveys to patients seen at Mayo Clinic for lung cancer who consented to join a research cohort. Surveys queried menopausal status and age of menopause. Those who were dx’d under age 50, who were treated with curative intent, and who reported that they were premenopausal at the time of the cancer dx were included in this analysis. “Immediate” treatment-related menopause was defined as reporting age of menopause as the same as the age at diagnosis or 1 year (yr) older. Results: Of 182 survey respondents to date (mean time from dx to 1st survey: 26 mos, SD 24 mos, range 12-202 mos), 85 (mean age 44 yrs, SD 5, range 34-48) received chemo during the yr after diagnosis, 26 of whom also received targeted therapy during that yr. Lung cancer dx occurred 1958-2016. Platinum drugs, taxanes, and etoposide were the most common chemotherapies. 46% of chemo recipients (mean age 47, SD 2, range 41-49) experienced immediate menopause, 9% (mean age 43 yrs, SD 5, range 35-48) experienced menopause at least 2 yrs after the age of dx, and 45% (mean age 40 yrs, SD 5, range 25-48) remained pre- or peri-menopausal at their final survey (on average 3 years after dx, SD 2, range 1-10). Only 3 patients received targeted therapy alone, and the remaining 94 (mean age 42 yrs, SD 6 years) received no systemic therapy within a year of diagnosis. 15% of these 94 (mean age 45 yrs, SD 3, range 41-49) experienced immediate menopause, 16% (mean age 43 yrs, SD 4, range 36-49) experienced menopause 2+ yrs after the age of diagnosis, and 69% (mean age 41 yrs, SD 7, range 20-49) remained pre- or perimenopausal at their final survey (on average 4 yrs after dx, SD 3, range 1-10). Conclusions: Chemotherapy for lung cancer causes amenorrhea in a substantial proportion of women dx’d with lung cancer while premenopausal. Further research on fertility and menopausal symptoms after lung cancer treatment, and on differences between regimens, is warranted.

e15626 Background: FGFR2 fusions are found in 10-15% of intrahepatic cholangiocarcinomas. Individuals with FGFR2 fusions have a better prognosis and more indolent natural history. More recently FGFR2 fusions have been described as a predictive marker for tyrosine kinase inhibitors targeting the FGFR2 pathway. Texture analysis from CT imaging has been used in the past to estimate degree of fibrosis and angiogenesis in various tumors types; however, texture analysis has not been used in the past to detect FGFR2 rearrangements. Methods: This is a retrospective study of 33 patients with intrahepatic cholangiocarcinoma who were previously tested for FGFR2 fusions with either a FISH break apart assay or with clinically available next generation sequencing assays. All patients had a contrast enhanced CT performed. To address physiological and pathological variations, matched-size regions of interest (ROIs) over areas of non-necrotic tumor and unaffected liver during the portal venous phase were drawn. The paired ROIs for each patient were then processed via an imaging analytic pipeline for (1) ROI normalization, (2) texture panel creation, and (3) machine learning predictive model development. Results: Fifteen patients with FGFR2 fusions and 18 patients without FGFR2 fusions were included in the study. Using the developed predictive model, accurate FGFR2 fusion classification in 90% of cases was achieved (sensitivity = 87%, specificity = 94%). Conclusions: Utilizing advanced analytics with machine learning techniques, multi-textural data obtained from conventional CT images has the capability to detect genetic aberrations in intrahepatic cholangiocarcinoma, including FGFR2 gene fusions. Radiogenomic evaluation has several attractive benefits including the cost effective and expeditious detection of actionable mutations such as FGFR2 fusions as well as avoidance of invasive procedures such as percutaneous core biopsies. [Table: see text]

TPS4148 Background: Cancer stem cells are considered to be fundamentally important for resistance to therapy, recurrence and metastasis. Napabucasin is a first-in-class cancer stemness inhibitor identified by its ability to inhibit STAT3-driven gene transcription and spherogenesis of cancer stem cells (Li et al, PNAS 112(6):1839, 2015). Preclinical studies suggest that napabucasin sensitizes heterogeneous cancer cells to chemotherapeutic agents, including nab-PTX and gem. Encouraging anticancer activity in mPDAC was observed in a phase Ib (El-Rayes et al, ASCO 2016) study of 37 pts, reporting 93% (28/30) disease control rate (DCR) and 50% (15/30) overall response rate (ORR), with 1 complete and 14 partial responses and prolonged disease control ( > 24 wks) in 57% (17/30) of pts who have had a RECIST evaluation. On the basis of these data, a phase III trial is being conducted in North America, Europe, Australia and Asia. Methods: This study (ClinicalTrials.gov NCT02993731) will assess the efficacy of napabucasin+nab-PTX+gem vs nab-PTX+gem in pts with mPDAC (n = 1132). Pts must have been diagnosed with mPDAC < 6 weeks prior to randomization and not have received treatment for metastatic disease. Pts are randomized in a 1:1 ratio to receive napabucasin 240 mg PO twice daily continuously plus nab-PTX+gem IV weekly for 3 out every 4 weeks, or nab-PTX+gem IV weekly for 3 out every 4 weeks. Pts will be stratified by geography, performance status and presence of liver metastases. Treatment will continue until disease progression, death, intolerability or patient/investigator decision to stop. Primary endpoint is overall survival (OS) in the general study population (HR 0.80 for OS improvement from 8.5 to 10.63 months); secondary endpoints include progression free survival (PFS), OS and PFS in the biomarker positive sub-population, ORR and DCR, safety and quality of life. In addition, blood and tumor archival tissue will be assessed for pharmacokinetic and biomarker analyses. Global enrollment is underway. Clinical trial information: NCT02993731.