Citations

Abstract Ovarian endometrioid carcinoma (OEC) is the second most common histotype associated with the most favorable prognosis among ovarian carcinomas. Similar to endometrial carcinoma, OEC exhibit significant molecular diversity. We aimed to develop a practical immunohistochemical (IHC) prognosticator by integrating IHC biomarkers with clinical substage, and surgical outcomes. This multi-institutional study included participants with primary invasive OEC from the Alberta Cancer Registry (AOVT), Mayo Clinic, and Disease of the Ovary and their Evaluation Study (DOVE). Pathology review excluded misclassified high-grade serous and mesonephric carcinomas leaving 422 OEC cases (AOVT N=158; DOVE N=143; Mayo N=121) with available tumor biospecimens who did not receive neoadjuvant treatment. Clinical characteristics included age, stage, grade, residual disease and 5-year survival. Clinical risk group was defined by combining stage and residual disease: Low (FIGO stage IA/IB & no macroscopic disease), Intermediate (stage IC-II& no macroscopic disease), High (stage III/IV or macroscopic disease). Tissue microarrays were stained for TP53, PMS2, MSH6, PGR, and CTNNB1 using IHC and were scored by a single pathologist. Tumors were hierarchically categorized as TP53-abnormal (TP53abn)/PGR-loss, mismatch-repair deficient (MMRd, via PMS2 and MSH6), nuclear-CTNNB1 (nCTNNB1), or no-specific-immunohistochemical-profile (NSIP). Overall survival (OS) at 5 years was compared across clinical risk and biomarker groups using Cox regression, adjusted for age and site to generate hazard ratios (HR), and 5-year survival rates (5-YSR). High clinical risk group was associated with worse 5-year OS compared to low & intermediate risk (p<0.0001). Hierarchical IHC biomarker groups were also associated with 5-year OS, adjusted for age and study site (p<0.0001), with consistently worse survival for combined TP53abn/PGR-loss (n=17, HR=6.07, 95% CI 2.78-13.26), PGR-loss only (n=55, HR=4.17, 95% CI 2.19-7.94), TP53abn only (n=29, HR=2.04, 95% CI 0.85-4.90), and better survival for nuclear-CTNNB1 (n=146, HR=0.22, 95% CI 0.07-0.65) compared to NSIP (n=132). Within the low-risk group, MMRd, nCTNNB1, or NSIP had greater than 97% 5-YSR, while OEC with TP53abn/PGR-loss or PR-loss only had less than 75% 5-YSR. Within the intermediate group, only nCTNNB1 exceeded a 5-YSR of greater than 97%. Within the high-risk group, 5YSR for nCTNNB1 OEC was 90.9%, compared to only 16.7% for TP53abn/PGR-loss. This IHC-based algorithm refines prognosis beyond clinical substage. It identifies low-risk patients with unfavorable prognosis (TP53abn/PGRloss, PGR loss only) who may benefit from adjuvant therapy, and also patients with favorable prognosis within the intermediate group for whom adjuvant therapy could be de-escalated. Further patient selection for chemo vs. hormone therapy in the high-risk group may be improved by biomarkers. Citation Format: Gamaliel Taengwa, Hunter J. Atkinson, Bryan M. McCauley, Sebastian M. Armasu, Chen Wang, Jennifer A. Doherty, Holly R. Harris, Ellen L. Goode, Martin Koebel, Stacey J. Winham. IHC-based prognostic sub-stratification of ovarian endometrioid carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1184.

PURPOSE To compare mortality risk among long-term survivors of high-grade serous ovarian cancer (HGSOC) with that of the general US population and to examine how mortality and recurrence trends have evolved under changing treatment approaches. MATERIALS AND METHODS This is a retrospective cohort study including patients with histologically confirmed HGSOC treated at a single referral cancer center from 1991 to 2022. Mortality risk, expressed as standardized mortality ratios (SMRs, ratio of observed deaths in the study population to expected deaths in an age-matched US population), was assessed at diagnosis and yearly on patients without events (disease persistence, recurrence, or death from any cause). RESULTS A total of 2,074 consecutive patients were included. The median follow-up was 12.5 years (IQR, 11.7-13.8). Most patients were stage III (1,396, 69.2%), 1,299 (62.8%) underwent primary cytoreductive surgery, and 1,688 (87.4%) received platinum-taxane as first-line therapy. At diagnosis, the mortality rate was 7.40 times higher than that in the general population (95% CI, 7.04 to 7.77). By 7 event-free years, the 95% CI for the SMR included 1 for the first time, and at 10 years, the SMR was 1.05 (95% CI, 0.72 to 1.49), indicating no statistically significant excess mortality compared with the general population. In those event-free at 10 years, the 5-year cumulative incidence of ovarian cancer–related deaths (8.2% [95% CI, 4.2 to 16.0]) was comparable with that of non–ovarian cancer–related deaths (6.3% [95% CI, 2.9 to 13.8]). CONCLUSION In this cohort, mortality risk steadily declined for patients who remained event-free, approaching that of the general population by 7 years after diagnosis. These results emphasize the importance of individualized, long-term follow-up to address both recurrence risk and survivorship needs.

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the U.S. mainly because of late-stage diagnosis. Heritable genetic information can improve risk stratification for individuals with moderate to high-risk of PDAC for targeted screening and early detection. We aimed to develop an enhanced polygenic risk score (PRS) for PDAC using a Bayesian approach, LDpred2, that reweights risk estimates attributed to millions of polymorphisms (SNPs) estimated from genome-wide association studies (GWASs). We then compared the performance of LDpred2 with the commonly used genetic risk score (GRS) approach that is based only on genome-wide significant SNPs. Methods: GWAS summary statistics were obtained from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case Control Consortium for 9040 cases and 12496 controls and were used to compute weights for a GRS (17 SNPs) using a p-value threshold of 5e-8 and weights for an enhanced PRS (1.3 million SNPs) using LDpred2. These weights were then used to compute risk scores in an independent validation sample of 2616 cases and 45407 controls from the Mayo Clinic. We used logistic regression to test for associations of the GRS and PRS with PDAC risk, adjusting for age, sex, and the first 10 principal components of ancestry. Results: The validation sample was of mostly European ancestries (>95%). Cases were slightly older than controls (median age: 66 yrs. vs. 63 yrs.) and had a higher frequency of men than controls (57% vs. 42%). Comparisons between the GRS and the PRS are shown in Table 1. DeLong’s test comparing the AUCs between the two genetic scores showed the PRS significantly outperformed the GRS (AUC = 0.68 vs. 0.67; p = 7.6e-7). Conclusions: The LDpred2 PRS model that used a larger set of SNPs significantly improved prediction of PDAC. Comparing the top percentile of the PRS versus the rest showed that the PRS is a clinically significant risk score (OR > 3) for PDAC and could inform clinical decision making and genetic counseling of individuals identified as having a high risk of PDAC. Citation Format: Samuel O. Antwi, Brandon J. Coombes, Nicholas B. Larson, Erin E. Carlson, Kari G. Rabe, Hunter J. Atkinson, Shounak Majumder, Jun Zhong, David McKean, Pancreatic Cancer Cohort & Case Control Consortia (PanScan and PanC4), Brian M. Wolpin, Rachael Z. Stolzenberg-Solomon, Alison P. Klein, Laufey T. Amundadottir, Ann L. Oberg. Enhanced polygenic risk score for pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB331.

Introduction Establishment of reference intervals (RI) for quantitative assays requires a minimum of 120 qualified normal donor (ND) samples for each partition of an analyte. Based on CLSI EP28 A3C guideline [CLSI. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline-Third Edition. CLSI document EP28-A3c. Wayne, PA: Clinical and Laboratory Standards Institute; 2008.], verification of previously established and/or published RI can be performed with a minimum of 20 NDs, especially given complexities of finding qualified NDs. Reagent manufacturers typically provide adult RI, thus facilitating RI verification as a viable option. NDs for the Pediatric (Peds) (<18 years of age) population are difficult to obtain, published RIs are performed with sample cohorts less than the suggested number or only performed with specific instrument/reagent combinations. Herein, we report our experiences with Peds RI. Methods After IRB approval, healthy pediatric outpatients ages 0-18yrs were recruited and consented. Plasma obtained from umbilical cord, finger/heel/ear stick, or venipuncture blood samples (no more than 50 mL or 3 mL per kg) and collected in 3.2% sodium citrate. Assays included Protein (P) C antigen (PCAG) and chromogenic activity (PCFX); P S total (PST), free (PSF) antigen, and functional (SFX); antithrombin antigen (ATAG) and chromogenic activity (ATFX); plasminogen (PLGN) and alpha-2-plasmin inhibitor (A2PI). Assay kits were PCFX - HemosIL® (Werfen, Beford, MA) Protein C, PST - LIATEST® (Diagnostica Stago S.A.S., Asnières sur Seine, France) Protein S, PSF - HemosIL® Free Protein S, SFX - HemosIL® Protein S Activity, ATAG - LIATEST® AT III , ATFX - HemosIL® Liquid Antithrombin, PLGN - HemosIL® Plasminogen, and A2PI - HemosIL® Plasmin Inhibitor performed on the ACL TOP 700 (Werfen) instrument. PCAG - REAADS® Protein C Antigen Test Kit (Corgenix, Inc. Broomfield, CO) was performed on the Janus G3 liquid handler (Revvity, Waltham, MA) and Synergy Neo2 microplate reader (Agilent, Santa Clara, CA). Assay mean and range were calculated. Results Insufficient numbers of patients <1yr were collected. Type of assay, age range in yr and number of samples (n), assay mean in % and range results respectively were as follows: PCAG 1-5 (n=15) 87(46-146); 5-10 (n=82) 81 (45-158); 10-15 (n=169) 84 (44-157); 15-18 (n=107) 91 (57-149). PCFX 1-5 (n=20) 97 (56-140); 5-10 (n=84) 89 (62-135); 10-15 (n=188) 91 (55-140); 15-18 (n=124) 96 (54-138). PST (males): 1-5 (n=10) 120 (96-145); 5-10 (n=46) 108 (75-150); 10-15 (n=91) 111 (80-168); 15-18 (n=63) 113 (72-184). PST (females): 1-5 (n=9) 104 (67-146); 5-10 (n=37) 111 (81-159); Ages 10-15 (n=94) 107 (78-153); 15-18 (n=63) 101 (65-148). PSF (males): 1-5 (n=10) 94 (74-109); 5-10 (n=47) 101 (66-141); 10-15 (n=93) 101 (69-151); 15-18 (n=62) 111 (74-187). PSF (females): 1-5 (n=9) 78 (9-124); 5-10 (n=37) 107 (79-137); 10-15 (n=95) 99 (63-138); 15-18 (n=63) 97 (60-132). SFX (males): 1-5 (n=9) 100 (85-128); 5-10 (n=48) 104 (66-144); 10-15 (n=93) 103 (66-168); 15-18 (n=59) 109 (72-157). SFX (females): 1-5 (n=8) 94 (18-121); 5-10 (n=37) 107 (81-143); 10-15 (n=90) 101 (65-147); 15-18 (n=60) 97 (53-135). ATAG 1-5 (n=19) 104 (80-121); 5-10 (n=83) 104 (78-121); 10-15 (n=188) 104 (66-126); 15-18 (n=126) 101 (67-126). ATFX 1-5 (n=20) 112 (94-135); 5-10 (n=84) 107 (87-123); 10-15 (n=188) 105 (84-138); 15-18 (n=126) 101 (84-129). PLGN 1-5 (n=17) 96 (76-124); 5-10 (n=85) 88 (65-125); 10-15 (n=183) 90 (49-151); 15-18 (n=119) 94 (64-151). A2PI: 1-5 (n=17) 134 (118-151); 5-10 (n=85) 126 (107-139); 10-15 (n=183) 121 (104-140); 15-18 (n=118) 116 (91-143). Conclusions Based on CLSI EP28 A3C criteria for verification, no more than 10% of results should fall outside of established/published RI, for example adult RI. Thus, compared to the SCL adult RI, PLGN assay meets criteria in all age ranges and no additional ND are needed. For the remaining assays, additional ND for ages 1-5 are needed. For ages 5-18 criteria for verification are satisfied for all analytes except PCAG. PCAG has 27, 61, and 19 patients falling below lower RI for ages 5-10, 10-15, and 15-18, respectively.

Abstract Background: Ovarian endometrioid carcinoma (OEC) is an uncommon, understudied histotype that is distinguished from other histotypes by unique genomic features and high hormone receptor expression. There is growing interest in the biological relevance of subtyping using immunohistochemistry (IHC). Methods: Women with primary invasive OEC diagnosed from 1989 to 2010 were retrospectively identified from the population-based Alberta Cancer Registry, Canada. Pathology slide review and IHC staining for Napsin A, TP53, and WT1 were used to reduce histologic misclassification, resulting in N=166 participants (low-stage N=138, high-stage N=28), excluding those who received neo-adjuvant chemotherapy. The following markers were stained and scored on tissue microarrays: TP53 (normal/abnormal), PMS2/MSH6 (mismatch repair proficient [MMRp]/deficient [MMRd]), PGR (loss/retained), and CTNNB1 (nuclear/cytoplasmic). Using a hierarchical decision tree by stage group (low/high), we categorized tumors as TP53 abnormal, MMRd, PGR loss, nuclear CTNNB1, and no specific immunohistochemical profile (NSIP). Distributions and five-year disease specific survival (DSS) was estimated for each group; hazard ratios (HRs) adjusted for age were estimated using Cox regression with NSIP as referent group. Results: Among low-stage cases, five-year survival was as follows: 80% for TP53 abnormal (N=10, 7%), 87% for MMRd (N=15, 11%), 80% for PGR loss (N=10, 7%), 98% for nuclear CTNNB1 (N=63, 46%), and 95% for NSIP group (N=40, 29%). Overall, IHC group was associated with DSS among low stage cases (LRT p-value=0.006), and the group with nuclear CTNNB1 had a small but statistically significant DSS advantage (HR=0.089, 95% CI 0.011-0.742, p=0.025). TP53 and PGR loss suggested shorter DSS than the referent NSIP group, but not statistically significantly so (HR=1.26 and 3.08, respectively). Among high-stage cases, five-year DSS was as follows: 57% for TP53 abnormal (N=7, 25%), 75% for MMRd (N=8, 29%), 33% for nuclear CTNNB1 (N=3, 11%), and 17% for NSIP (N=10, 36%). There were no high-stage cases in the PGR-loss group. Nuclear CTNNB1 group had a shorter DSS among high-stage cases, but this was not statistically significantly so (HR=1.16, p=0.85). Conclusion: Pending replication in additional datasets, results suggest that OEC cases in nuclear CTNNB1 or NSIP IHC groups may have a favorable prognosis in which de-escalation of therapy can be considered. In addition, abnormal TP53 and loss of PGR may identify a high-risk subset of low-stage OEC. Citation Format: Brooke Jorgensen, Stacey Winham, Julie Cunningham, Sebastian Armasu, Chen Wang, Hunter Atkinson, Bryan McCauley, Linda Kelemen, Martin Koebel, Ellen Goode. Towards a combined immunohistochemistry-based subtyping of ovarian endometrioid carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6499.

The poly(ADP-ribose) binding protein CHFR regulates cellular responses to mitotic stress. The deubiquitinase UBC13, which regulates CHFR levels, has been associated with better overall survival in paclitaxel-treated ovarian cancer. Despite the extensive use of taxanes in the treatment of ovarian cancer, little is known about expression of CHFR itself in this disease. In the present study, tissue microarrays containing ovarian carcinoma samples from 417 women who underwent initial surgical debulking were stained with anti-CHFR antibody and scored in a blinded fashion. CHFR levels, expressed as a modified H-score, were examined for association with histology, grade, time to progression (TTP) and overall survival (OS). In addition, patient-derived xenografts from 69 ovarian carcinoma patients were examined for CHFR expression and sensitivity to paclitaxel monotherapy. In clinical ovarian cancer specimens, CHFR expression was positively associated with serous histology (p = 0.0048), higher grade (p = 0.000014) and higher stage (p = 0.016). After correction for stage and debulking, there was no significant association between CHFR staining and overall survival (p = 0.62) or time to progression (p = 0.91) in patients with high grade serous cancers treated with platinum/taxane chemotherapy (N = 249). Likewise, no association between CHFR expression and paclitaxel sensitivity was observed in ovarian cancer PDXs treated with paclitaxel monotherapy. Accordingly, differences in CHFR expression are unlikely to play a major role in paclitaxel sensitivity of high grade serous ovarian cancer.