Bogan, Aaron

Importance Standard adjuvant therapy for human papillomavirus–associated oropharyngeal squamous cell carcinoma (HPV-OPSCC) is radiation therapy 60 Gy with or without cisplatin delivered in 30 fractions during 6 weeks. A phase 3 randomized clinical trial demonstrated decreased toxic effects and improved patient-reported outcomes with de-escalated adjuvant radiation therapy (DART) compared with standard therapy; however, outcomes for patients treated in the clinical practice setting following trial adoption remain unknown. Objective To compare characteristics and oncologic outcomes of patients treated with DART during clinical trials (on study) and in clinical practice settings (off study) and report progression-free survival (PFS) by risk category. Design, Setting, and Participants This retrospective cohort study included patients treated with DART in the MC1273 and MC1675 trials and in clinical practice after study completion at a multisite tertiary care center. Patients with surgically resectable HPV-OPSCC who underwent margin-negative resection between August 20, 2013, and March 21, 2023, and were treated with DART were included in the analysis. Those with prior head and neck cancer, pT0 or pT4 disease, unknown HPV status, metastatic disease at presentation, synchronous primary tumors, induction chemotherapy, or treatment at an outside institution were excluded. Data were analyzed from July 1, 2024, to July 18, 2025. Interventions DART consisting of 30 to 36 Gy in 1.5- to 1.8-Gy fractions twice daily with docetaxel 15 mg/m 2 on days 1 and 8. Main Outcomes and Measures Progression-free survival as measured via Kaplan-Meier analysis. Results A total of 282 patients were included in the analysis: 176 (62.4%) in the on-study group and 106 (37.6%) in the off-study group (252 [89.4%] male; mean [SD] age, 59.1 [9.3] years). Both groups were predominantly male (157 [89.2%] and 95 [89.6%], respectively) and consisted mostly of never smokers (118 [67.0%] and 62 [58.5%], respectively). Pathologic features were similar between groups except for nodal stage (pN1: 155 [88.1%] on study vs 102 [96.2%] off study; pN2: 21 [11.9%] on study vs 4 [3.8%] off study; P = .02). The median follow-up times were 5.2 years (95% CI, 5.2-5.8 years) in the on-study group and 2.2 years (95% CI, 1.9-2.4 years) in the off-study group. Two-year PFS was similar (93% [95% CI, 88%-97%] on study vs 93% [95% CI, 88%-99%] off study). For patients with pN1 and no extranodal extension (ENE), 2- and 5-year PFS were 97% (95% CI, 93%-100%) and 96% (95% CI, 92%-100%), respectively. Patients with pN1 and ENE had a 2- and 5-year PFS of 93% (95% CI, 89%-98%) and 87% (95% CI, 81%-94%), respectively. Conclusions and Relevance In this retrospective cohort study of patients receiving DART on and off study, oncologic outcomes were similar between the 2 groups. Fewer patients with pN2 received DART off study, given the interim results of MC1675. Patients with pN1 and no ENE treated with DART had excellent 2- and 5-year PFS, supporting DART as a compelling treatment option in well-selected patients. An additional study that is currently underway will evaluate biomarker risk-stratified treatment of patients with pN1 and ENE receiving DART.

Background: Circulating tumor DNA (ctDNA) is predictive of recurrence in resected stage III melanoma, yet its role in the neoadjuvant setting for clinical stage III (cSIII) is unclear. Objective: Assess the association between ctDNA and outcomes following neoadjuvant immunotherapy (IO) + targeted therapy (TT) in cSIII melanoma. Design: Patients in the NeoACTIVATE study were treated with neoadjuvant IO + TT, underwent lymphadenectomy, and received adjuvant immunotherapy. Methods: Patients with ctDNA testing performed at baseline, pre- and post-operation were analyzed. Baseline positron emission tomography–computed tomography volumetrics and surgical, major pathological responses (MPR) were assessed. Results: Thirteen patients had serial ctDNA, 10 (77%) were detectable at baseline, and 9/10 (90%) had ctDNA clearance. Seven (54%) achieved MPR, all with undetectable preoperative ctDNA, yet 3/7 (43%) had disease recurrence. Conclusion: ctDNA and MPR are poor predictors of recurrence following neoadjuvant IO + TT for cSIII melanoma patients. Further studies are warranted to define the role of ctDNA in this setting.

e18017 Background: Head and neck (H&N) cancers affect the oral cavity, pharynx, larynx, salivary glands, nasal cavity, and sinuses. In Sub-Saharan Africa (SSA), the true burden of H&N cancers remains unclear, with available estimates suggesting approximately 47,000 new cases and 26,000 deaths annually. Limited cancer datasets hinder understanding of disease patterns and outcomes. This study explores patient characteristics, treatments, and outcomes to guide regional cancer control efforts. Methods: A cancer dataset was created and implemented at 4 leading teaching hospitals in Ghana, Kenya, Ethiopia, and Rwanda to systematically collect data on patient demographics, disease characteristics, and treatment patterns. Established through competitive grant funding, the primary objective of the database was to assess the indirect impact of the COVID-19 pandemic on cancer care. The dataset includes all cancer patients seen in consultation and/or treated between 2016 and 2023. In this study, a subset of patients diagnosed with H&N cancers was analyzed using descriptive statistics to assess clinical characteristics, treatments modalities, and patients' outcomes. Results: A total of 1,023 patients with H&N cancer were included in the analysis. The median age at diagnosis was 54 yrs (IQR 41-66), with 37% (n= 374) of the cohort being female. A total of 55% (n= 549) had no health insurance coverage. Of those with staging data, majority presented with advanced disease (89%) on presentation. Regarding treatment modality, 16% (n= 157) underwent surgery, 27% (n=279) received radiotherapy (RT), 14% (n= 143) received chemotherapy (CT), and 56% (n= 572) received no cancer therapy. Of those who received CT the timing was neoadjuvant (12%), concurrent with RT (22%), adjuvant after surgery (8.9%) or as palliative treatment (57%). Platinum-based agents (94%) were the most common CT, followed by Taxol-based (31%), and 5FU-based agents (27%). Regarding RT, planning was performed using 2D (55%) and 3D (45%) techniques. The median delivered dose was 60 Gy in 30 fractions. At a median follow up of 43 months, 1.6% were disease free, 10% (n= 103) were alive, 5.9% (n= 60) were confirmed dead, and 84% (n= 848) were lost to follow up. Conclusions: This study identifies key challenges in managing H&N cancers in SSA, including late-stage presentation, limited access to advanced treatment modalities, and a high lost to follow-up rate (84%). The reliance on older RT techniques such as 2D planning and the limited use of surgery highlight gaps in infrastructure and resource availability. Limited health insurance coverage suggests potential financial barriers to care and disparities in treatment access. Addressing these challenges will require greater investment in cancer care, expansion of the oncology workforce, and improvements in healthcare infrastructure to support better patient outcomes in the region.

e17511 Background: Cervical cancer is a significant public health concern in Sub-Saharan Africa (SSA), where it remains the leading cause of cancer-related mortality among women. SSA has the highest global incidence and mortality rates, with an estimated 110,300 new cases and 76,700 deaths in 2020. Despite this burden, data on patient characteristics and treatment outcomes remain limited. This study aims to address these gaps by analyzing current treatment patterns and outcomes for cervical cancer in SSA. Methods: A cancer dataset was established at 4 major teaching hospitals in Ghana, Kenya, Ethiopia, and Rwanda to capture data on patient demographics, disease characteristics, and treatment modalities. The dataset encompasses all cancer patients seen between 2016-2023, with over 9,000 cases collected to date. The primary objective of the dataset was to assess impact of COVID-19 pandemic on cancer care in SSA. This study conducted a retrospective analysis of cervical cancer cases within the dataset utilizing descriptive metrics. Results: A total of 2,326 patients were analyzed, with a median age at diagnosis of 56 y (48–65) and 53% having health insurance. The majority had squamous cell carcinoma (87%) and presented with locally advanced disease (FIGO stages IIB–IVA, 88%). Treatment primarily consisted of concurrent chemoradiotherapy (CRT, 34%) or radiotherapy (RT) alone (30%), while smaller proportions received chemotherapy (CT) alone (1.2%) or surgery (1.3%). A total of 33% of patients received no cancer therapy. Among 1,524 patients treated with RT, 1,180 received external beam RT with a median dose of 46 Gy in 23 fractions, using 2D planning in 60% and 3D planning in 40% of cases. Additionally, 25 patients underwent brachytherapy, with 58% receiving low-dose-rate and 42% high-dose-rate treatments. Of 1,011 patients treated with CT, 85% (n=844) completed the intended course, with a median of 4 cycles, primarily delivered concurrently with RT (95%). Only a few received CT as adjuvant (4.8%), neoadjuvant (1.6%), or palliative (3.4%) therapy. Platinum-based regimens were most common, with 43% receiving platinum monotherapy and 5% receiving platinum-taxane combinations. By the end of treatment, 27% (n=633) achieved disease-free status. After a median follow-up of 47 months (range,37–55), 42% were alive, 7% had died, and 53% were lost to follow-up with unknown vital status. Conclusions: This study reveals significant challenges in management and follow-up of cervical cancer in SSA. Most patients were diagnosed at advanced stages, with 32% receiving no treatment and 53% of treated patients lost to follow-up. These findings highlight barriers to early diagnosis, treatment access, and continuity of care. Addressing these issues requires expanding early diagnostic services, increasing vaccination coverage, strengthening healthcare infrastructure, and improving patient retention.

Importance Circulating tumor human papillomavirus DNA (ctHPVDNA) is an important biomarker for the presence of HPV-associated oropharyngeal squamous cell carcinoma (OPSCC), but little is known about early postoperative kinetics of ctHPVDNA clearance. Objective To investigate early postoperative kinetics of ctHPVDNA in patients with HPV-associated OPSCC. Design, Setting, and Participants This prospective cohort study was conducted at a single tertiary care center from January 4, 2020, to January 26, 2023. Patients with newly diagnosed HPV-associated OPSCC undergoing surgical management were enrolled. HPV status was defined as positive if findings of p16 immunohistochemistry and/or HPV DNA in situ hybridization and/or E6/E7 RNA in situ hybridization were positive. Exclusion criteria included history of prior head and neck cancer and metastatic disease at presentation. Data were analyzed from September 1, 2024, to April 25, 2025. Exposures Transoral robotic surgery with concurrent neck dissection. Main Outcomes and Measures Blood was drawn prior to surgery (pretreatment), 1 to 2 days after surgery (postoperative days 1 to 2), and approximately 2 weeks after surgery (postoperative week 2; range, 8 to 20 days). ctHPVDNA was quantified by a tumor tissue–modified viral (TTMV) HPV DNA test. Correlations were tested between the pretreatment and postoperative day 1 to 2 TTMV HPV DNA levels using Gaussian regression. Concordance between detectability at postoperative day 1 to 2 and postoperative week 2 was explored using negative predictive value and positive predictive value. Results Of 57 included patients with detectable pretreatment TTMV HPV DNA, 51 (89%) were male, and the median (IQR) age was 59 (54-66) years. A total of 35 patients (61%) had blood draws at all 3 time points; 16 (28%) had detectable TTMV HPV DNA on postoperative day 1 to 2. Pretreatment and postoperative day 1 to 2 TTMV HPV DNA levels had a medium positive linear correlation ( r = 0.31; 95% CI, 0.04-0.54). Undetectable TTMV HPV DNA on postoperative day 1 to 2 blood draw had a negative predictive value of 0.95 (95% CI, 0.74-1.00) for an undetectable level on postoperative week 2 blood draw, but a detectable level on postoperative day 1 to 2 blood draw only had a positive predictive value of 0.19 (95% CI, 0.04-0.46). Of the 16 patients with detectable TTMV HPV DNA pretreatment and at postoperative day 1 to 2, only 3 (19%) continued to have detectable TTMV HPV DNA at postoperative week 2. One patient had undetectable levels at postoperative day 1 to 2 and detectable levels at postoperative week 2. Conclusions and Relevance In this study, ctHPVDNA detectability early after surgery did not predict detectability at 2 weeks after surgery. ctHPVDNA clearance early after surgery could predict a negative test at 2 weeks. A negative blood draw finding on postoperative day 1 may be used to omit a postoperative blood draw at 2 weeks for minimal residual disease detection in future clinical trials.

424 Background: Advances in prostate cancer (PC) care have led to a 98% 10-year survival rate. Prostate Specific Antigen (PSA) is the primary method of follow-up after definitive radiotherapy (RT), with benign PSA ‘bounce’ occurring in up to 30% of patients, causing uncertainty and anxiety. Distinguishing between PSA bounce and biochemical recurrence (BCR) remains challenging. The Phoenix Criteria is the standard definition of BCR since 2006, defined as PSA nadir + 2 ng/dl, but does not consider patient specific information. Our study aims to explore factors associated with bounce and BCR and develop a predictive tool to differentiate between these two events. Methods: PC patients who received RT at our institution between 2006 and 2022 were identified, including only patients with a PSA increase during follow-up. Exclusion criteria included palliative RT, prostatectomy, or insufficient follow-up information. Patients’ clinical data was collected, and PSA increase was classified as bounce or BCR. Variables were compared using Kruskal Wallis or Chi-square. Multivariate logistic regression was performed in the subset of patients with absolute PSA value >2 (n= 581). Results: Of 1783 patients reviewed due to PSA rise after treatment, 694 met the inclusion criteria. There were 213 (30.7%) with PSA bounce and 481 (69.3%) with recurrence. Prior to meeting the Phoenix Criteria, 20 (4.2%) had biopsy-proven recurrence and 18 (3.7%) imaging-proven recurrence. The median delta PSA was 0.8 ng/mL for bounce vs 5 ng/mL for recurrence (p<0.001). The median time from treatment to event was 14.4 months for bounce vs 45.3 months for BCR (p<0.001). Recurrence was significantly associated (p<0.001) with older age at diagnosis, N1 stage, higher risk category, Gleason score, and higher baseline PSA. In the subgroup of patients without ADT, recurrence was associated with a lower median first PSA post-RT (1.9 vs. 2.4, p=0.046) and a lower median nadir before event (0.6 vs. 1.8, p<0.001). Multivariate logistic regression achieved an accuracy of 0.94, with a sensitivity of 0.83, specificity of 0.98, and an area under the curve (AUC) of 0.97. Conclusions: Our results highlight significant differences in clinical factors between bounce and recurrence in post-RT patients. The multivariate logistic regression differentiated the events with 94% accuracy for patients with a rising PSA value >2 subgroup. We highlight the possible improvement that could be accomplished by personalizing a PSA threshold for recurrence versus the Phoenix definition. This tool offers patients and providers a highly specific tool to differentiate between PSA recurrence and bounce, and may reduce stress and unnecessary testing, or help diagnosis recurrence faster. Next steps include prospective validation of the model to assess the impact on clinical practice costs, patient experience, and cancer outcomes.

Abstract Background Minimal clinically important differences (MCIDs) quantify the clinical relevance of quality of life results at the individual patient and group level. The aim of this study was to estimate the MCID for the Brief Fatigue Inventory (BFI) and the Worst and Usual Fatigue items in patients with brain or CNS cancer undergoing curative radiotherapy. Methods Data from a multi-site prospective registry was used. The MCID was calculated using distribution-based and anchor-based approaches. For the anchor-based approach, the fatigue item from the PROMIS-10 served as the anchor to determine if a patient improved, deteriorated, or had no change from baseline to end of treatment (EOT). We compared the unadjusted means on the BFI for the 3 groups to calculate the MCID. For the distribution-based approaches, we calculated the MCID as 0.5 SD of the scores and as 1.96 times the standard error of measurement. Results Three-hundred and fifty nine patients with brain or CNS tumors undergoing curative radiotherapy filled out the 9-item BFI at baseline and EOT. The MCID for the BFI was 1.33 (ranging from 0.99 to 1.70 across the approaches), 1.51 (ranging from 1.16 to 2.02) and 1.76 (ranging from 1.38 to 2.14) for the usual and worst fatigue items, respectively. Conclusions This study provides the MCID ranges for the BFI and Worst and Usual fatigue items, which will allow clinically meaningful conclusions to be drawn from BFI scores. These results can be used to select optimal treatments for patients with brain or CNS cancer or to interpret BFI scores from clinical trials.