ASCO 2020 Delivers Growing Insights on Supportive Care, Genetic Testing, and Symptom Management – OncLive

As part of the 2020 ASCO Direct Highlights webcast, Dawn L. Hershman, MD, MS, a professor of medicine and epidemiology, leader of the Population Science Program, and director of Breast Oncology at the Herbert Irving Comprehensive Cancer Center at Columbia University, spotlighted important data pertaining to cancer care delivery, prevention, symptom management, and survivorship that were presented at the 2020 ASCO Virtual Scientific Program.

Reducing Treatment-Related Toxicity in Geriatric Patients

As the number of geriatric patients with cancer continues to rise1, emphasis has been placed on reducing the risk of toxicity with a number of treatment modalities.

Older patients who develop treatment-related adverse events (TRAEs) have an increased likelihood of treatment discontinuation, hospitalization, and death. Moreover, these patients tend to be unrepresented in clinical trials.

Findings from a cluster randomized controlled trial (NCT02054741)1 reported that geriatric assessment (GA) intervention can improve clinical outcomes for patients over the age of 70 who have advanced cancer and 1 or more GA domain impairment.

The study evaluated impaired domain, objective physical performance, psychological status, and nutritional status in this patient population.

Each provider in the GA experimental arm (17 sites; 349 patients) received a GA summary from the assessment, as well as GA-guided recommendations for patients before they began a new treatment. Sites not included in the experimental arm proceeded with standard treatment (24 sites; 369 patients).

Patient demographics were similar between the GA experimental arm and the control arm. The trial included patients with gastrointestinal, genitourinary, and lung cancers. The majority of patients in both arms had stage IV disease (P = .11) and had received prior chemotherapy (P = .53).

Among all patients (n = 718), 60.9% experienced grade 3 to 5 toxicities, 50% required dose modification, 17.7% discontinued treatment, and 15.9% entered into hospice care within 3 months of treatment. Additionally, 26.5% of patients died due to all causes within 6 months of treatment.

Common GA domain impairments were reported in physical performance, polypharmacy, comorbidities, functional status, nutrition, cognition, social support, and physiological status.

At 3 months, 50.1% of patients in the GA intervention arm experienced grade 3 to 5 toxicity compared with 71% in the control arm (adjusted risk ratio, 0.74; 95% CI, 0.63-0.87; P <.01; clustering effect P = .15).

Of these, grade 3 to 5 hematologic AEs were observed in 36.1% and 43.6% of patients, respectively (adjusted risk ratio, 0.85; 95% CI, 0.69-1.05; P = .13; clustering effect P = .30). Grade 3 to 5 non-hematologic AEs were observed in 31.8% and 51.8% of patients, respectively (adjusted risk ratio, 0.73; 95% CI, 0.53-0.996; P = .047; clustering effect P <.01).

At 6 months, survival rates according to Kaplan Meier Estimates were 71.3% with GA intervention and 74.3% with standard care (adjusted risk ratio, 0.87; 95% CI, 0.65-1.15; P = .33; clustering effect P <.04).

Similar findings were demonstrated in another randomized controlled trial (NCT02517034) in which grade 3 to 5 toxicities were reduced from 60.4% in patients treated with standard of care to 50.5% in patients who received geriatric assessment-drive intervention (GAIN; P = .02). All patients were over the age of 65 and had any-stage solid tumor.2

Patient characteristics were similar between the GAIN arm (n = 413) and the standard-of-care arm (n = 207).

Grade 3 to 5 hematologic toxicities occurred in 11.3% and 19.3% of patients (P = .003) and non-hematologic toxicities occurred in 18.1% and 26.2% of patients (P = .008), respectively. The percentage of patients who experienced grade 3 to 5 hematologic and non-hematologic toxicities was 21.1% and 14.9%, respectively (P = .61).

Additionally, 70% of patients in the GAIN arm completed advanced directives versus 59% of patients in the standard-of-care arm (P < .01)

“The question that remains from these 2 trials which showed that GA intervention decreased toxicity is [whether] this the right intervention…in this population,” said Hershman. “What is the simplest intervention to improve outcomes, reduce hospitalizations, and improve survival in…elderly patients undergoing chemotherapy?”

Improving Accessibility to Genetic Testing

Optimization of genetic counseling and testing remains an area of unmet clinical need, according to findings from the 4-arm MAGENTA study.3

Following media-based enrollment, investigators grouped women at genetic risk of breast and ovarian cancer into a family history cohort (n = 2250) and a cascade testing cohort (n = 750). All women received pre-test education and results electronically or with a genetics provider.

Patients completed a baseline questionnaire prior to randomization. To measure distress, patients completed a follow-up questionnaire at 3 months. Patient characteristics did not vary significantly between the family history cohort and the cascade testing cohort.

According to the findings, overall distress, high distress at 3 months, and difference in baseline distress did not vary significantly between arms.

Participants who did not undergo pre-test counseling had the highest rate of test completion compared with those who were in the control and post-test only counseling arms.

Pathogenic mutations were identified in 6.1% of patients (n = 174). In the family history cohort (n = 118), these mutations included CHEK2, BRIP1, BRCA1, BRCA2, BARD1, ATM, RAD51D, RAD51C, PMS2, PALB2, NBN, and MLH1. In the cascade cohort (n = 60), the aforementioned mutations plus STK11 and MSH2 were found.

Regarding the primary outcome in the family history cohort, electronic pre- and post-testing, electronic pre-testing and mandatory post-test counseling, and mandatory pre-test counseling and electronic post-testing, were found to be noninferior for distress at 3 months compared with mandatory pre- and post-test counseling (P <.025).

In the cascade testing cohort, the no and the pre-test only counseling groups were noninferior for distress at 3 months compared with the control arm (P <.025).

In the COMET trial,4 patients were randomized to receive web-based genetic education with a Tiered-binned theoretically informed test (n = 293) or usual care (n = 301). After randomization, two-sided T tests were conducted before and after completing testing education. T tests were also completed directly after patients received tumor genetic test results and 3 months thereafter.

Patient characteristics did not vary significantly between arms, and the trial enrolled patients with solid tumors.

Investigators found that web-based genetic counseling led to a greater understanding and utilization of testing for patients compared with standard care without significantly reducing anxiety, depression, or cancer-specific distress. Most patients who were randomized to receive web-based testing utilized the online platform. Notably, 71% of patients reported receiving their genetic results, while others did not receive or did not recall receiving their results.

Post-hoc analyses revealed that women had greater reductions in cancer-specific distress compared with men (-2.4 vs 0.9; P = .01). Additionally, patients with a high school education or less tended to experience more distress compared with those who had higher education (1.25 vs -1.63; P = .001).

The conclusion of both the MAGENTA and COMET trials suggests that further refinement and exploration is needed to determine whether web-based genetic counseling is a viable option for patients compared with in-person counseling.

Cancer Mortality and the Affordable Care Act

In March 2010, the Patient Protection and Affordable Care Act was enacted to increase access to health care, decrease cost, and make health care easier to understand. Additionally, the law allowed some states to expand their Medicaid programs to aid more low-income individuals.

The results of a comprehensive database analysis evaluating whether cancer mortality varied in states that expanded Medicaid under the Affordable Care Act garnered a lot of discussion at the 2020 ASCO Virtual Scientific Program, according to Hershman.5

Findings from the analysis showed that non-expanded states had higher baseline cancer mortality. Moreover, age-adjusted cancer mortality was consistently worse in states that did not expand Medicaid.

Although cancer mortality reportedly fell in both expanded (27 states and Washington DC; 157 million individuals) and non-expanded states (23 states; 117.9 million individuals) from 1999 to 2017, the overall age-adjusted cancer mortality in expanded states was -0.5 per 100,000 individuals (P = .38). More specifically, an estimated 785 cancer-related deaths were prevented in 2017 as a result of expansion.

Hispanic patients in expanded states appeared to derive the greatest cancer mortality benefit (-2.1 per 100,000; P = .07). However, as other populations, including African-American patients did not derive the same mortality decrease.

Symptoms and Survivorship

Findings from 3 clinical trials demonstrated improved symptom burden with cannabis treatment, electroacupuncture (EA) and auricular acupuncture (AA), and yoga.6-8

Crossover results from a randomized phase 2/3 trial6 revealed that oral tetrahydrocannabinol (THC)/cannabidiol (CBD) extract elicited a significant improvement in complete responses (CRs) and control of nausea and vomiting in patients with refractory chemotherapy-induced nausea and vomiting (CINV) versus placebo. Moreover, the addition of oral THC/CBD decreased the use of rescue medications in this patient population.

The crossover component included 81 patients with solid and hematologic cancers to determine the activity and tolerability of the agent, as well as the required accrual rate to complete the phase 3 portion of the study.

Additionally, 45% of patients were considered high–emetogenic risk while the remaining 55% were considered intermediate risk. The majority of patients were on first-line chemotherapy with curative intent.

In cohort 1, patients received cannabis in cycle A of treatment followed by placebo in cycle B, whereas the other cohort received placebo followed by cannabis. Both cohorts of patients received both interventions in cycle C. Patients received THC and CBD at a dose of 2.5 mg.

Among the 78 patients who did not withdraw consent, the median age was 55 years and the majority of patients were female (78%). Additionally, over half of patients (58%) had prior cannabis use.

The results showed that cannabis induced an 25% CR rate to CINV versus 14% with placebo (P = .04). Sixty-nine percent of patients versus 57% of respective patients had no vomiting (P = .05). Additionally, 21% versus 10% did not experience significant nausea, respectively (P = .03). Thirteen percent of patients reported a CR to CINV and no significant nausea with cannabis versus 6% with placebo (P = .12). Furthermore, 28% of patients receiving THC/CBD did not use rescue medications versus 15% receiving placebo (P = .04).

The most common cannabis-related toxicities included sedation, dizziness, anxiety, and disorientation. Moreover, 83% of patients preferred cannabis to placebo.

Regarding acupuncture, as part of the randomized PEACE trial (NCT02979574), EA and AA reduced pain and improved quality of life (QOL) in patients who survived cancer and had chronic musculoskeletal pain. Moreover, battlefield acupuncture (BFA) was found to be inferior to EA.7

Patients enrolled were randomized 2:2:1 to receive EA (n = 145), BFA (n = 143), or usual care waitlist control (WLC; n = 72). Changes in baseline pain intensity (BPI) were measured at week 12 following a 10-week treatment intervention.

To measure BPI changes, an 11-item survey of brief pain inventory and the Patient-Reported Outcomes Measurement Information System-Global Health inventory were taken.

The majority of patients enrolled were women (70%), white (76%), and 65 years of age or older (44%). The trial consisted of patients who had had a solid tumor or hematologic malignancy.

At 12 weeks, the mean BPI difference was -1.94 for EA versus WLC (95% CI, -2.37 to -1.50; P < .001) and -1.5 for BFA versus WLC (95% CI, -1.98 to -1.11, P < .001).

A 1-sided noninferiority test revealed that BFA was noninferior in reducing pain compared with EA (P = .058) with a BPI intensity difference of 0.36 (95% CI, -0.002 to 0.73).

Although AEs were considered mild in both groups treated, BFA was associated with a higher rate of treatment discontinuation due to AEs. In the EA arm, 0.7% of patients discontinued treatment compared with 11.2% in the BFA arm (P = .001). The most common AE with BFA was ear discomfort.

Finally, in a randomized phase 3 study (NCT02613364), investigators evaluated whether Yoga for Cancer Survivors (YOCAS) was superior to survivorship health education (SHE; behavioral placebo) and noninferior to standard-of-care cognitive behavioral therapy for insomnia (CBT-I) in treating insomnia in cancer survivors.8

The study showed that YOCAS was superior to SHE in treating insomnia. However, the study failed to definitively show whether YOCAS was unacceptably worse at improving insomnia compared with CBT-I.

The trial randomized 740 patients to receive YOCAS (n = 251), SHE (n = 251), or CBT-I (n = 238). Patient demographics were similar between groups.

Compliance to treatment was higher with YOCAS. Additionally, more participants withdrew in the SHE and CBT-I cohorts due to displeasure with the method. Specifically, 16% of patients withdrew from the YOCAS arm, 25% from the SHE arm (P = .02), and 30% from the CBT-I arm (P <.01).

Additionally, more participants (n = 64) attended all 9 sessions of YOCAS compared with SHE (n = 58) and CBT-I (n = 49).

The authors concluded that yoga and CBT-I may be the optimal option for cancer survivors as means to treat insomnia.

References:

  1. Mohile SG, Mohamed MR, Culakova E, et al. A geriatric assessment (GA) intervention to reduce treatment toxicity in older patients with advanced cancer: a University of Rochester Cancer Center NCI community oncology research program cluster randomized clinical trial (CRCT). J Clin Oncol. 2020;38(suppl 15): 12009. doi:10.1200/JCO.2020.38.15_suppl.12009
  2. Li D, Sun CL, Kim H, et al. Geriatric assessment-driven intervention (GAIN) on chemotherapy toxicity in older adults with cancer: a randomized controlled trial. J Clin Oncol. 2020;38(suppl 15):12010. doi:10.1200/JCO.2020.38.15_suppl.12010
  3. Swisher EM, Rayes N, Bowen D, et al. Results from MAGENTA: A national randomized four-arm noninferiority trial evaluating pre- and post-test genetic counseling during online testing for breast and ovarian cancer genetic risk. J Clin Oncol. 2020;38(suppl 15): 1506. doi:10.1200/JCO.2020.38.15_suppl.1506
  4. Bradbury AR, Lee JW, Gaieski JB, et al. Randomized trial of web-based genetic education versus usual care in advanced cancer patients undergoing tumor genetic testing: Results from the ECOG-ACRIN NCI Community Oncology Research Program (NCORP; EAQ152) COMET trial. J Clin Oncol. 2020;38(suppl 15):2008. doi:10.1200/JCO.2020.38.15_suppl.2008
  5. Lee A, Shah K, Chino JP, et al. Changes in cancer mortality rates after the adoption of the Affordable Care Act. J Clin Oncol. 2020;38(suppl 15):2003. doi:10.1200/JCO.2020.38.15_suppl.2003
  6. Grimison PS, Stockler MR, Kirby A, et al. Results of crossover phase II component of randomized placebo-controlled trial evaluating oral THC/cannabis extract for refractory chemotherapy-induced nausea and vomiting (CINV). J Clin Oncol. 2020;38(suppl 15):12008. doi:10.1200/JCO.2020.38.15_suppl.12008
  7. Mao JJ, Liou K, Panageas K, et al. Effects of electroacupuncture and auricular acupuncture for chronic pain in cancer survivors: the PEACE randomized controlled trial. J Clin Oncol. 2020;38(suppl 15):12004. doi:10.1200/JCO.2020.38.15_suppl.12004
  8. Mustain KM, Lin PJ, Culakova E, et al. Effects of YOCAS yoga, cognitive behavioral therapy, and survivorship health education on insomnia: a URCC NCORP Research Base Phase III RCT in 740 cancer survivors. J Clin Oncol. 2020;38(suppl 15):12005. doi:10.1200/JCO.2020.38.15_suppl.12005

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