Purpose

We evaluate the treatment effect of OC-01 (varenicline solution) nasal spray (VNS) in dry eye disease (DED) subjects from two randomized trials who self-reported autoimmune disease (AID).

Patients and methods

Post hoc subgroup analysis of subjects reporting a history of AID from the integrated OC-01 VNS 0.03 or 0.06 mg and vehicle control (VC) treatment groups of the ONSET-1 and ONSET-2 trials. Mean change in Schirmer test with anesthesia score (STS, mm) and Eye Dryness Score (EDS) from baseline to 28 days was compared between OC-01 VNS and VC groups. Consistency of treatment effect in subjects with and without AID was evaluated using treatment-subgroup interaction terms in ANCOVA models for mean changes from baseline STS and EDS, and in a logistic regression model for proportion achieving ≥10 mm STS improvement.

Results

Of the 891 participants, 31 reported comorbid AID. In all models, the treatment-subgroup interaction terms were not significant (p>0.05), indicating consistency of therapeutic effect of OC-01 VNS in subjects with and without AID. In subjects with AID, the treatment difference for STS was 11.8 mm and -9.3 for EDS and difference for proportion of subjects with ≥10 mm STS improvement was 61.1%. The most common adverse event was sneeze (82-84%), graded as mild by 98% of subjects.

Conclusion

OC-01 VNS demonstrated consistency in improving both tear production and patient-reported symptoms in subjects with AID, consistent with pivotal ONSET-1 and 2 trial results. Further investigation is warranted, and results may further support use of OC-01 VNS for DED in AID patients.

Purpose

Primary endocrine therapy for ductal carcinoma in situ (DCIS) as a potential alternative to surgery has been understudied. This trial explored the feasibility of a short-term course of letrozole and sought to determine whether treatment results in measurable radiographic and biologic changes in estrogen receptor (ER)-positive DCIS.

Patients and methods

A phase II single-arm multicenter cooperative-group trial was conducted in postmenopausal patients diagnosed with ER-positive DCIS without invasion. Patients were treated with letrozole 2.5 mg per day for 6 months before surgery. Breast magnetic resonance imaging (MRI) was obtained at baseline, 3 months, and 6 months. The primary end point was change in 6-month MRI enhancement volume compared with baseline.

Results

Overall, 79 patients were enrolled and 70 completed 6 months of letrozole. Of these, 67 patients had MRI data available for each timepoint. Baseline MRI volumes ranged from 0.004 to 26.3 cm³. Median reductions from baseline MRI volume (1.4 cm³) were 0.6 cm³ (61.0%) at 3 months (P < .001) and 0.8 cm³ (71.7%) at 6 months (P < .001). Consistent reductions were seen in median baseline ER H-score (228; median reduction, 15.0; P = .005), progesterone receptor H-score (15; median reduction, 85.0; P < .001), and Ki67 score (12%; median reduction, 6.3%; P = .007). Of the 59 patients who underwent surgery per study protocol, persistent DCIS remained in 50 patients (85%), invasive cancer was detected in six patients (10%), and no residual DCIS or invasive cancer was seen in nine patients (15%).

Conclusions

In a cohort of postmenopausal women with ER-positive DCIS, preoperative letrozole resulted in significant imaging and biomarker changes. These findings support future trials of extended endocrine therapy as primary nonoperative treatment of some DCIS.

Background

We examined the prognostic significance of circulating tumor cell (CTC) dynamics during treatment in metastatic breast cancer (MBC) patients receiving first-line chemotherapy.

Methods

Serial CTC data from 469 patients (2202 samples) were used to build a novel latent mixture model to identify groups with similar CTC trajectory (tCTC) patterns during the course of treatment. Cox regression was used to estimate hazard ratios for progression-free survival (PFS) and overall survival (OS) in groups based on baseline CTCs, combined CTC status at baseline to the end of cycle 1, and tCTC. Akaike information criterion was used to select the model that best predicted PFS and OS.

Results

Latent mixture modeling revealed 4 distinct tCTC patterns: undetectable CTCs (56.9% ), low (23.7%), intermediate (14.5%), or high (4.9%). Patients with low, intermediate, and high tCTC patterns had statistically significant inferior PFS and OS compared with those with undetectable CTCs (P < .001). Akaike Information Criterion indicated that the tCTC model best predicted PFS and OS compared with baseline CTCs and combined CTC status at baseline to the end of cycle 1 models. Validation studies in an independent cohort of 1856 MBC patients confirmed these findings. Further validation using only a single pretreatment CTC measurement confirmed prognostic performance of the tCTC model.

Conclusions

We identified 4 novel prognostic groups in MBC based on similarities in tCTC patterns during chemotherapy. Prognostic groups included patients with very poor outcome (intermediate + high CTCs, 19.4%) who could benefit from more effective treatment. Our novel prognostic classification approach may be used for fine-tuning of CTC-based risk stratification strategies to guide future prospective clinical trials in MBC.