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PURPOSE Limited tools exist to predict the risk of chemotherapy toxicity in older adults with early-stage breast cancer. METHODS Patients of age ≥ 65 years with stage I-III breast cancer from 16 institutions treated with neoadjuvant or adjuvant chemotherapy were prospectively evaluated for geriatric and clinical features predictive of grade 3-5 chemotherapy toxicity. Logistic regression with best-subsets selection was used to identify and incorporate independent predictors of toxicity into a model with weighted variable scoring. Model performance was evaluated using area under the ROC curve (AUC) and goodness-of-fit statistics. The model was internally and externally validated. RESULTS In 473 patients (283 in development and 190 in validation cohort), 46% developed grade 3-5 chemotherapy toxicities. Eight independent predictors were identified (each assigned weighted points): anthracycline use (1 point), stage II or III (3 points), planned treatment duration > 3 months (4 points), abnormal liver function (3 points), low hemoglobin (3 points), falls (4 points), limited walking (3 points), and lack of social support (3 points). We calculated risk scores for each patient and defined three risk groups: low (0-5 points), intermediate (6-11 points), or high (≥ 12 points). In the development cohort, the rates of grade 3-5 chemotherapy toxicity for these three groups were 19%, 54%, and 87%, respectively ( P < .01). In the validation cohort, the corresponding toxicity rates were 27%, 45%, and 76%. The AUC was 0.75 (95% CI, 0.70 to 0.81) in the development cohort and 0.69 (95% CI, 0.62 to 0.77) in the validation cohort. Risk groups were also associated with hospitalizations and reduced dose intensity ( P < .01). CONCLUSION The Cancer and Aging Research Group-Breast Cancer (CARG-BC) score was developed and validated to predict grade 3-5 chemotherapy toxicity in older adults with early-stage breast cancer.

235 Background: The CARG tox score can predict risk of chemotherapy-related tox in older adults with cancer. GAIN can reduce tox vs standard of care (SOC) among these patients (pts); GAIN’s impact across CARG risk groups is unknown. Methods: A secondary analysis of the GAIN randomized clinical trial (NCT02517034) of pts aged ≥65 (solid tumor diagnosis, starting a new chemotherapy) was performed. Pts were randomized 2:1 to receive GAIN vs SOC and were categorized into low (0-5), medium (6-9), and high (10-20) risk groups according to CARG score. The primary outcome was incidence of grade 3-5 tox. Chi-square/Fisher’s exact tests were used to compare outcomes (GAIN vs SOC, stratified by risk groups). Log-rank tests were used to compare 1-year survival across risk groups. Results: This analysis included 600 pts: 26.5% low risk, 45.2% medium risk, 28.3% high risk. Table shows pt/treatment characteristics. For pts with low/medium risk scores, GAIN demonstrated a 14.0% (95% CI 4.1%-23.9%) reduction in tox vs SOC (p = 0.006). No significant reduction in tox was observed among pts with high risk scores (p = 0.86). One-year survival (GAIN vs SOC) for each risk group was 73.6% vs 67.4% (low risk), 68.5% vs 64.5% (medium risk), and 57.3% vs 61.7% (high risk), respectively (log-rank p = 0.10). Conclusions: Older adults with low/medium, but not high, CARG risk scores benefit from GAIN. Additional strategies may be needed to improve outcomes for pts with high CARG risk scores. Clinical trial information: NCT02517034. [Table: see text]

12042 Background: Although breast cancer and breast cancer chemotherapy (chemo) have been linked to accelerated functional decline, it is not well understood whether this decline is driven by cancer itself or the combination of cancer and chemo. Here, we compared the change in functional status over time in older breast cancer survivors treated with and without chemo and age-matched women without cancer. Methods: Women age ≥65 with non-metastatic breast cancer (n = 538; 441 treated with chemo and 97 without chemo) and n = 100 non-cancer controls were prospectively evaluated at two timepoints: ≤14 days pre-chemo (baseline) and ≤30 days post-chemo (or matched times for non-chemo and non-cancer controls). At each timepoint, functional status was measured using instrumental Activities of Daily Living (iADL) scores. The primary endpoint was the proportion of patients with a decline in functional status (Yes/No, yes defined as ≥2-point decrease [minimal meaningful difference] in iADL scores between timepoints). Baseline demographic, functional, and clinical characteristics were compared between survivors treated with and without chemo and non-cancer controls using t and chi-squared tests. Among the 441 women treated with chemo, univariate and multivariable logistic regression analyses were performed to determine baseline risk factors associated with chemo-induced functional decline. Results: 10% of older survivors treated with chemo experienced a clinically meaningful decline in function as compared to 3% in the non-chemo and 4% in non-cancer control groups (p = 0.017). Across the 3 groups, there were no differences in median age, race/ethnicity, education, number of comorbidities, or baseline functional status (iADL, ADL, Timed Up and Go [TUG]). Among the 441 older survivors treated with chemo, greater age, higher BMI, more comorbidity, lower ADL score, and longer TUG were significantly associated with functional decline univariately. After multivariable analyses, age ≥78 (26% declined, odds ratio [OR] = 3.67, 95% CI 1.60-8.43) and BMI > 30 (16% declined, OR = 2.11, 95% CI 1.02-4.38) remained significantly associated with functional decline. Patients who were both ≥78 years old and obese (BMI > 30) had the highest odds of developing functional decline post-chemo (41% declined, OR = 8.43, 95% CI 2.48-28.63). Conclusions: In this study, older breast cancer survivors treated with chemo had a 3-fold increased incidence of clinically meaningful decline in functional status as compared to age-matched survivors not treated with chemo and those without cancer. Although these findings need to be replicated in larger studies, our results raise the possibility that accelerated functional decline may be driven by cellular damage from cytotoxic chemo. Further research is warranted to understand the impact of cancer and its treatment on older adults' functional status and underlying aging processes. Clinical trial information: NCT01472094.

52 Background: Older adults with cancer often have age-associated vulnerabilities and challenges, especially during hospitalization. Geriatric assessment (GA) can help identify such vulnerabilities, generate recommendations, and guide the choice of interventions. Recently, GA-driven interventions have been shown to decrease chemotherapy toxicity among older adults with cancer in the outpatient setting. However, few studies have examined its role in the inpatient setting. Our purpose was to evaluate the feasibility of GA-driven interventions among hospitalized older adults with cancer. Methods: Hospitalized patients, age 75+, with a solid tumor malignancy were eligible. Each patient completed a GA while hospitalized at T1 (Timepoint 1) and one-month post discharge T2 (Timepoint 2). An Advanced Practice Nurse (APN) reviewed the T1 GA, provided targeted care utilizing GA results and implemented interventions based on predefined triggers built into the GA’s various domains. An APN also completed follow-up visits by phone at 1 week and 1 month post discharge. The primary outcome was feasibility, defined as the percentage of participants who received GA-guided interventions and was pre-specified as successful if > 80% were given recommendations. A secondary outcome of the study was to capture unplanned readmissions within 1 month post discharge. Results: Between 9/19/2017 and 5/3/2019, 49 patients were eligible and 40 were enrolled, an 82% participation rate. The median age was 80.5 years (range 75-88), 58% male, 63% Non-Hispanic white, 18% Hispanic, 15% Asian, 70% > a high school education, 73% married/partner, and 48% had stage IV cancer. Most common cancer types: GI (28%), GU (23%), lung (20%). All 40 patients (100%) had ≥ 1 predefined trigger in the GA generating interventions and completed ≥ 2 follow-up visits with the APN. In total, 857 interventions were recommended, and the mean number of interventions generated per patient was 11. The top 4 interventions were Occupational Therapy/Physical Therapy (n = 66), Social Work (n = 52), Nutrition (n = 39), and Pharmacy (n = 36). Overall 89% of GA-guided interventions were implemented. Unplanned hospital readmission was low with only one patient readmitted within 30 days (3%). Conclusions: Among hospitalized adults over age 75 with cancer, using GA to identify vulnerability, and provide GA-driven multidisciplinary interventions is feasible. Further studies are warranted to examine the impact of GA-driven interventions on outcomes among hospitalized older adults with cancer.

TPS12126 Background: The undertreatment of pain in patients with advanced or metastatic cancer is well described in cancer research. Overcoming barriers that prevent successful use of opioid analgesics for cancer pain requires a clear understanding of how individuals use oral medications at home. The Proteus Discover is a digital medicine program (DMP) consisting of an FDA-approved ingestible sensor made of dietary minerals co-encapsulated with patients’ medications, a wearable sensor patch, and a mobile device app that enables patients to electronically transmit their medication adherence patterns. Use of the DMP has demonstrated improved clinical outcomes vs. usual care in patients with diabetes and hypertension, shown superiority over directly-observed therapy in tuberculosis and has been studied in the treatment of patients with hepatitis C, HIV, cancer and severe mental illness, but it has not been previously studied with opioids or in monitoring cancer-related pain. Methods: We are conducting a multicenter pilot study at SWOG NCORP sites to test the feasibility of using the DMP to monitor opioid use in the treatment of metastatic cancer pain. Eligible patients must have a diagnosis of metastatic cancer, have a baseline Brief Pain Inventory worst pain score of ≥3, be deemed by their physician to need initiation or up-titration of oxycodone-acetaminophen for pain control, and be able to read English. Primary outcomes include: (1) study accrual of 60 patients within six months of study activation at all participating sites; (2) patient retention defined as ≥50 patients completing the study, and; (3) adherence to the DMP defined as ≥66% of patients wearing the sensor patch for ≥28 days of the 42-day observation period. Secondary outcomes include change in Brief Pain Inventory pain scores, opioid medication consumption, number of safety alert triggers for high consumption, hospital or emergency room visits for pain, activity levels, and frequency of changes to the pain control regimen. The study will enroll patients at six sites; the first patient was enrolled on 1/20/2020. If successful, this study will inform design of a randomized controlled trial of the DMP vs. usual care in optimizing medication utilization and controlling cancer-related pain. Clinical trial information: NCT04194528 .

e13018 Background: The tolerability and efficacy of targeted therapy in older adults with cancer have not been adequately studied. Neratinib is an oral pan-HER1, HER2, and HER4 tyrosine kinase inhibitor that has been FDA approved for early stage HER 2+ breast cancer. This phase II trial is designed to evaluate the safety of neratinib in older adults (≥60 years) who have HER2 amplified or HER2 mutated metastatic breast cancer (MBC). Methods: Older adults with HER2+ or HER2 mutated MBC with any number of previous lines of therapy received neratinib at 240 mg daily in 28-day cycles. Loperamide was used for diarrhea prophylaxis: 4mg tid x 14 days followed by 4mg bid for days 15-28, and as needed after first cycle. Participants completed a pre-treatment geriatric assessment (GA) including measures of function, comorbidity, cognition, nutrition, and psychosocial status at cycle 1, cycle 4, and end of the study. Relationships between tolerability (dose reductions and number of completed courses) and log2 risk score were assessed using t-test and linear regression. Response rate (RR), progression free survival (PFS) and overall survival (OS) were evaluated. Results: Twenty-five patients (mean age 68 [60-79]) were enrolled from 12/2016 to 03/2019, and 36% of patients (pts) were >70 years old. Median number of cycles completed was 3 (0-13): 1/25 (4%) pts had a partial response, 11/25 (44%) had stable disease, 12/25 (48%) had progression of disease, and 1/25 (4%) was not evaluable for response. PFS was 2.6 months (95% CI [2.56-5.26]). The median OS was 17.4 months (95% CI [10.3, NA]). A total of 9/25 pts (36%) had dose modification. Of these, 3/9 had at least one dose hold, and all 9 had at least one dose reduction (diarrhea, n = 6). 20/25 participants (80%, 95% CI [59%, 93%]) had grade ≥2 toxicities, and 9/25 pts (36%, 95% CI [18%, 57%]) had grade 3 toxicities that were attributable to treatment: diarrhea (n = 5), abdominal pain (n = 2), and vomiting (n = 2). There were no grade 4 or 5 toxicities. Two pts (8%) were hospitalized due to neratinib toxicity, and two pts went off treatment due to toxicity attributed to neratinib (diarrhea and nausea). There was a trend in the difference in toxicity risk scores by whether a participant had a dose reduction (t-test: p-value = 0.054) with participants with higher risk scores being more likely to require a dose reduction; however, toxicity risk score did not predict number of cycles completed based on linear regression (slope = -1.29, se = 1.44, p = .39). Conclusions: Neratinib is safe in older adults with HER2 positive or HER2 mutated MBC. Clinical trial information: NCT02673398 .

12010 Background: Geriatric assessment (GA) can predict chemotherapy (chemo) toxicity in older adults (age ≥65) with cancer. However, evidence regarding the effect of GA-driven intervention (GAIN) on the incidence of chemo toxicity has been limited. Therefore, we conducted a randomized controlled trial evaluating the impact of GAIN vs. standard of care (SOC) on chemo toxicity in older adults with cancer. Methods: Patients (pts) age ≥65, diagnosed with a solid malignancy, and starting a new chemo regimen at City of Hope were eligible (NCT02517034). In a 2:1 ratio, 600 pts were randomly assigned to either GAIN (n = 398) or SOC (n = 202) arms. All pts completed a baseline GA prior to chemo. In the GAIN arm, a multidisciplinary team led by a geriatric oncologist, nurse practitioner, social worker, physical/occupation therapist, nutritionist, and pharmacist, reviewed GA results and implemented interventions based on predefined triggers built into the GA’s various domains. In the SOC arm, GA results were sent to treating oncologists to use at their discretion. Pts were followed until either end of chemo or 6 months after start of chemo, whichever occurred first. The primary endpoint was incidence of grade 3-5 chemo-related toxicity (NCI CTCAE v.4.0). Secondary endpoints included advance directive (AD) completion, emergency room (ER) visits, hospitalizations, and average length of stay (ALOS). Chi-square and Fisher’s exact tests were used to compare the categorical outcomes, and Kruskal-Wallis test was used to compare the ALOS between arms. Results: Pt characteristics were balanced between arms. Median age was 71 (range 65-91). Cancer types included: 33% gastrointestinal, 23% breast, 16% lung, 15% genitourinary, and 13% other. Most (71%) had stage IV disease. The incidence of grade 3-5 chemo-related toxicity was 50.5% (95% CI: 45.6-55.4%) in the GAIN arm and 60.4% (95% CI: 53.7-67.1%) in the SOC arm (p = 0.02). Compared to SOC, the GAIN arm had a reduction of 9.9% (95% CI: 1.6-18.2%) in chemo-related toxicity. At the end of study, AD completion increased 24.1% in the GAIN arm vs. 10.4% in the SOC arm (p < 0.001). No significant differences in ER visits (27.4% vs. 30.7%), hospitalizations (22.1% vs. 19.3%), or ALOS (median 4.8 vs. 5.0 days) were observed between the GAIN and SOC arms, respectively. Conclusions: Integration of multidisciplinary GA-driven interventions reduced grade 3-5 chemo-related toxicity and improved AD completion in older adults with cancer. GA-driven interventions should be included as a part of cancer care for all older adults. Clinical trial information: NCT02517034 .

e24022 Background: Maintaining function and preventing functional decline during cancer treatment is critically important to older adults. This systematic review characterized and identified patient factors associated with functional change during systemic cancer therapy in older adults. Methods: Following PRISMA guidelines, we searched PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials for articles examining changes in function during systemic cancer treatment published in English through 1/11/19. Studies were eligible if they included adults age >65 and analyzed associations between patient factors and change in function. At least two independent investigators reviewed each article with discrepancies resolved by consensus. Major findings were summarized; no meta-analysis was planned a priori given the heterogeneity in studies. Results: We screened 15,244 titles/abstracts and 519 full texts. The final analysis included 69 studies, which enrolled > 11,000 patients with cancer. Most studies enrolled adults of all ages; 20% included only adults age >65 and 13% only adults age >70. A quarter of studies enrolled patients with lung cancer while 22% included all solid tumors and hematologic malignancies. The majority of studies evaluated function during chemotherapy (96%) with 9% including targeted therapy and 4% immunotherapy. Function was primarily measured with patient-reported outcomes (93% of studies). Reporting of functional change was heterogeneous with many reporting change scores or means at multiple time points. Among studies that reported the percentage of patients who developed functional decline, results ranged widely from 6% to 90%. Functional improvement occurred among 2% to 57% of patients. The most common patient factors associated with functional decline during systemic cancer therapy were older age (n = 8 studies), fatigue (n = 8), worse baseline performance status (n = 8) and physical activity (n = 5), and anemia (n = 5). Only 10 studies examined factors associated with functional recovery, identifying 12 unique patient factors. Conclusions: Among older adults with cancer, functional changes during systemic cancer therapy are common. Interventions to target modifiable patient factors associated with functional decline are needed to help patients maintain or improve function during treatment. Additionally, evaluating both functional decline and improvement is necessary to better characterize functional trajectories during systemic cancer therapy.

1069 Background: Androgen receptor (AR) targeting therapy has shown single agent activity in triple negative breast cancer (TNBC). GTx-024, a nonsteroidal selective androgen receptor modulator (SARM), demonstrated preclinical and clinical activity in AR+ breast cancer. The current study is designed to test the safety and efficacy of GTx-024 and pembrolizumab in patients with AR+ metastatic TNBC (mTNBC). Methods: This is an open-label phase 2 study for AR+ mTNBC. Eligible participants receive pembrolizumab 200mg IV every 3 weeks in combination with GTx-024 18mg po daily. Key eligibility criteria include patients with AR+ ( > 10%, 1+ by IHC); mTNBC; ECOG 0-1; measurable disease per RECIST 1.1. Patients are excluded if they had prior checkpoint inhibitors or AR targeted agents. The primary objective is to evaluate the tolerability of GTx-024 and pembrolizumab, and determine the response rate. Results: Seventeen patients were enrolled in the study. One patient was ineligible due to previously undiagnosed brain metastases. Ten of 16 patients had visceral metastasis (lung or liver), and 15% of patients had received ≥ 3 previous lines of therapy for mTNBC. Among 16 patients evaluable for response, 2 patients achieved a best response of partial response (PR), 2 patient had stable disease (SD, 18 and 19 weeks ), 11 patients had progressive disease (PD), and 1 patient is too early for restaging imaging. Durable response was found in 1 patient. Grade 3 toxicities include 1 diarrhea and 1 dry skin. Grade 2 adverse events include 3 elevated liver function, 1 adrenal insufficiency, 1 hyperthyroidism, 1 palpitation, 1 diarrhea, 1 hyperhydrosis, 1 hot flashes and 1 headache. Three patients had dose delay and two patients had dose reduction. Conclusions: AR targeted therapy GTx-024 combined with pembrolizumab is well tolerated with clinical activity. Clinical trial information: NCT02971761.

e18131 Background: Multiple studies have described the barriers and facilitators to oncology clinical trial accrual in academic practices. However, few studies have been done in community settings, even though the majority of patients with cancer receive their care in the community. We examined and compared community and academic oncologists’ perceptions of the barriers and facilitators to cancer clinical trial accrual. Methods: Semi-structured interviews were conducted from March to June 2018 with 44 medical oncologists at City of Hope (24 in academia; 20 in community sites). Purposive sampling was used to ensure participant diversity. Primary measures were oncologists’ self-reported perceptions of the barriers and facilitators to clinical trial accrual. Responses were recorded digitally, transcribed, and de-identified. Data was managed using NVivo v12. Two analysts coded the interview data using thematic content analysis (kappa = 0.74). A third analyst adjudicated discrepancies. Results: Of the 44 participants, 36% were women, and 68% had > 10 years of experience. Compared to academic oncologists, community oncologists more often cited barriers due to the lack of protocols suitable for community patients’ histology and stage (13% vs. 6%) and insufficient trial personnel support (13% vs. 9%). Compared to community oncologists, academic oncologists more often cited barriers due to limited time (14% vs. 8%) and overly stringent eligibility criteria (14% vs. 9%). Community oncologists more commonly reported extrinsic facilitators (e.g. reminders of available protocols from trial support staff) (91% vs. 76%) while academic oncologists more commonly reported intrinsic facilitators for offering clinical trials (e.g. self-motivation to prioritize clinical trials) (24% vs. 9%). Conclusions: Community oncologists more often reported facing barriers to accrual due to limited suitable trials and insufficient personnel support compared to academic oncologists. Additionally, community oncologists cite the need for more infrastructure to support accrual. Interventions to increase trial accrual must be tailored to address the unique needs of both community and academic practices.

e18130 Background: Despite the disproportionate impact of cancer on older adults, older patients are vastly underrepresented in clinical trials that set the standards for cancer treatment. To better understand the reasons for this disparity, we conducted a systematic review of studies that have specifically examined barriers and interventions to improve clinical trial enrollment of older adults with cancer. Methods: We conducted a comprehensive two-step search strategy. First, we consulted an information specialist to develop an electronic search for the following databases from inception to January 15, 2019: PubMed, Ovid/Medline, Embase, Scopus, PsycINFO, and Cochrane library. Second, references of retrieved key articles were screened for relevant studies. Two authors then independently reviewed all titles and abstracts (N = 10,985) and examined studies for full text eligibility (N = 221). Inclusion criteria were: 1) original research; 2) study assessed barriers and/or interventions to enrollment in oncology clinical trials; 3) included patients ≥ 60 years with cancer. Narrative reviews and abstracts without full text were excluded. Data was extracted by independent raters and summarized using a qualitative analysis software, NVivo v12. Results: 12 observational studies examining barriers and 1 randomized intervention were included. Barriers were assessed at the patient level (N = 5 studies), healthcare professional (HCP) level (N = 5), and both patient and HCP levels (N = 2). Stringent eligibility criteria (N = 7) and oncologists’ concerns for toxicity (N = 7) were the most common barriers cited. Patient barriers included transportation (N = 6), time/burden (N = 6), and awareness (N = 6). Although caregiver barriers (N = 4) were identified, none of the studies examined caregiver perceptions. One study evaluated a physician-directed educational intervention and found no significant impact on accrual of older adults. Conclusions: Although several studies have examined the barriers to accrual of older adults with cancer, only one intervention study has attempted to address these barriers. Given the aging of the cancer population, new strategies for including older adults in cancer clinical trials are critically needed.

11556 Background: Anxiety and depression are associated with decreased quality of life, treatment adherence, and survival in patients with cancer. Mental Health Inventory (MHI-17) is a validated screening tool for psychological well-being, but cut points for older adults with cancer are unknown. The goal of this study is to identify cut points on MHI-17 Anxiety (MHI-A) and Depression (MHI-D) subscales which correlate with patient-reported anxiety and depression in older adults with cancer. Methods: This is a secondary analysis of baseline data from a randomized controlled trial in adults aged 65+ with solid tumors starting chemotherapy. At baseline, patients completed MHI-17. MHI-A and MHI-D were calculated (range 0-100; higher scores represent better mental health). Self-reported anxiety was obtained from single-item Linear Analog Scale Assessment (0-5 = low, 6-10 = high). Self-reported depression was obtained from Yale Depression Screen, “Do you often feel sad or depressed?” The association of MHI-A and MHI-D with the patient-reported outcomes was analyzed using logistic regression. Youden’s index was used to determine the optimal cut points for MHI-A and MHI-D for identifying patients with high anxiety and depression. Results: 458 patients (median age 71 (range 65-91), 57% female, 55% non-Hispanic white) were included in this analysis. The most common cancer types were: GI (31%), breast (19%), GU (18%), and pulmonary (16%); 75% had stage IV cancer. Twenty-four percent (N = 110) reported high anxiety and 21% (N = 97) depression. Median scores for MHI-A and MHI-D were 75 (range 0-100) and 80 (range 0-100). The optimal cut point for high anxiety on MHI-A was 65; this had an accuracy of 76.1%, a sensitivity of 71.8%, and a specificity of 77.5%. The optimal cut point for depression on MHI-D was 70; this had an accuracy of 80.1%, a sensitivity of 80.4%, and a specificity of 79.8%. Conclusions: The current study identified optimal cut points for MHI-Anxiety and MHI-Depression subscales to identify older adults with cancer starting chemotherapy with self-reported anxiety and depression. In the absence of patient-reported anxiety and depression, these cut points could be used to identify older patients with cancer at risk for poor mental health.

e18066 Background: Social media may be an effective strategy to improve public awareness of oncology clinical trials and increase accrual. How oncologists perceive the role of social media in clinical trials now and in the future remains unknown. We explored oncologists’ attitudes and perceptions related to social media and clinical trial recruitment. Methods: Semi-structured interviews were conducted with 44 medical oncologists at City of Hope from March to June 2018. Primary measures were oncologists’ self-reported benefits, concerns, and future interventions to leverage social media for trial recruitment. Secondary measures were facilitators and barriers to social media use for professional purposes. Responses were recorded digitally, transcribed, and de-identified. Data was managed using NVivo v12. Two analysts coded interview data using thematic content analysis (kappa = 0.7). Results: Of the 44 participants, 55% were academic and 45% were community oncologists, 36% were women, and 68% had > 10 years of experience. The most commonly cited benefit was increased awareness and visibility (63%). The most commonly cited concerns were: lack of time or support (31%), misinformation or oversimplification (31%), and lack of guidance (regulatory/ethical oversight) (28%). Oncologists reported a desire for an institutional-level intervention (e.g., personnel support with social media expertise) to facilitate trial recruitment using social media (50%). Oncologists’ perceptions of the facilitators to social media use for professional purposes were centered on networking (40%) and staying up to date in the field (33%). Perceived barriers were clustered around lack of comfort, training, time (38%), and lack of evidence of benefit (25%). No differences were identified between academic and community oncologists. Conclusions: Oncologists are hopeful that social media can increase awareness and visibility of cancer clinical trials. However, they have numerous concerns about the application of social media in clinical trials due to lack of time, support, and risk of misinformation. Further research is needed to examine whether social media can facilitate recruitment to oncology clinical trials.

e13062 Background: It is clinically understood that chronic kidney disease (CKD) and cancer are interrelated. Yet, few studies measure how renal outcomes vary according to common malignancies and common therapeutic agents. We report the incidence and the nature of CKD among cancer patients from a single institution. Methods: A retrospective chart review of cancer patients managed in the onconephrology clinic at the Moffitt Cancer Center from 05/01/2015 to 07/31/2016 was conducted. Patients with acute or chronic kidney disease secondary to a malignancy or side effect of chemotherapy were included in this study. Renal function outcomes were recorded at three-month follow-up intervals from the 15-month duration. Results: Out of the total 88 patients with median age of 68 years, 63 patients were diagnosed with chronic kidney disease, whereas the remaining had acute kidney injury. Kidney cancer and multiple myeloma represented the largest proportion with 12 patients each. Patients with kidney cancer had a mean creatinine of (2.35, 1.74) mg/dl compared to patients without kidney cancer with creatinine (1.97, 1.07) mg/dl. Abdominal cancers had the highest proportion of chronic kidney disease (84.21%) whereas 81.48% of patients with genitourinary cancers had chronic kidney disease. Patients prescribed tyrosine kinase inhibitors had a lower average estimated glomerular filtration rate (28.37, 9.86) mL/min/1.73 m2 compared to other chemotherapeutic agents, though this was a weakly significant relationship (p-value = 0.07). Similar renal outcomes according to malignancy and chemotherapy are reported. Conclusions: This group of patients demonstrated the frequency of chronic kidney disease differs depending on the type of malignancy or chemotherapy. A multidisciplinary approach involving oncologists and nephrologists should be adopted to prevent further renal damage from cancer and its therapies.

194 Background: Twitter, a social networking site, is transforming communication. Effective use of Twitter might be one way to communicate with the public about cancer clinical trials and increase awareness and perhaps enrollment. We conducted a content analysis of tweets about lung cancer, describing dialogues specific to lung cancer clinical trials and seeing where embedded-links in tweets about therapeutic trials are leading the public. Methods: We used the Twitter search engine to identify a cohort of 26,059 tweets with the keyword “lung cancer” from January 5 - 21, 2015. Tweets were captured and prepared using Nvivo qualitative data analysis software. Duplicate and non-English tweets were excluded. Of the remaining 15,346 unique tweets, 1,516 (10%) were randomly selected for detailed content analysis (kappa = 0.71). Tweets related to clinical trials underwent further analysis to categorize the trial type and embedded-links. University of Pennsylvania IRB exempted this study from review. Results: Most, 83% (1,260/1,516) of tweets in our sample contained lung cancer-specific content and 17% (256/1,516) were categorized as miscellaneous (e.g., extraneous content, non-sequiturs). Table 1 shows the distribution of content categories of lung cancer related tweets by frequency. Most of the tweets focused on support or prevention. Among the lung cancer related tweets, 18% (221/1,260) related to clinical trials. Of clinical trial tweets, 83% (183/221) concerned therapeutic trials, 13% (28/221) non-therapeutic, and 4% (10/221) basic research. Among the therapeutic clinical trial tweets, 79% (144/183) concerned immunotherapy and 86% (158/183) had embedded-links directing users to news articles. Only 1 tweet linked to a patient recruitment website. Conclusions: A significant proportion of lung cancer tweets are about clinical trials, but virtually none direct patients to enrollment sites. Twitter is a new communication medium for the cancer community, and further research is needed to test its potential to promote clinical trial accrual. [Table: see text]