bluuebunny/crossref_metadata_2025 huggingface dataset:
Abstract 7621: Serum albumin and derived neutrophil-to-lymphocyte ratio are potential predictive biomarkers for immune checkpoint inhibitors in small cell lung cancer
Authors: Kuang Zhanpeng , Miao Jessica , Zhang Xiaoli
Published: March 2024

Background: Immune checkpoint inhibitors (ICIs) have reshaped the treatment landscape of small cell lung cancer (SCLC), but only a minority of patients benefit from this therapy. Therefore, it is critical to identify potential risk factors that could predict the efficacy of ICI treatment in SCLC patients and identify patient subgroups who may benefit the most from ICI therapy.

Methods: Our study included a total of 183 SCLC patients who had received at least one dose of ICI treatment. We utilized both logistic regression and Cox proportional hazard regression to evaluate whether various patient clinical factors and serum biomarkers, could serve as predictors of patient response to treatment and overall survival (OS) during ICI therapy.

Results: Logistic regression showed that patients with a history of surgery (p=0.003, OR 9.06, 95% CI: (2.17, 37.9)) and no metastasis (p=0.008, OR 7.82, 95% CI: (1.73, 35.4)) exhibited a higher odds of response to ICI treatment. Cox regression analyses demonstrated that pretreatment blood albumin (p=0.003, HR 1.72, 95% CI: (1.21, 2.45)) and derived neutrophil to lymphocyte ratio (dNLR) (p=0.003, HR 1.71, 95% CI: (1.20-2.44)) were independent predictors for OS in SCLC patients. By establishing a pre-treatment prognostic scoring system based on baseline albumin and dNLR, we found that patients with high albumin and low dNLR exhibited a significantly better prognosis than those with low albumin and high dNLR in both the full (P<.0001, HR 0.33, 95% CI: 0.20-0.55) and the metastatic cohort (P<.0001, HR 0.28, 95% CI: 0.15-0.51). The better prognostic group also had younger age, higher BMI and lower systemic inflammatory biomarker values than the unfavorable group (P<.0001).

Conclusion: Our data reveals the significant role of metastasis status and treatment history in predicting the initial response of SCLC patients to ICI treatment. However, baseline serum albumin and dNLR provide a more precise prognostic prediction for patient OS. The scoring system based on albumin and dNLR enhances the ability to stratify patient prognosis and holds the potential to guide clinical decision-making for SCLC patients undergoing ICI therapy.

Citation Format: Zhanpeng Kuang, Jessica Miao, Xiaoli Zhang. Serum albumin and derived neutrophil-to-lymphocyte ratio are potential predictive biomarkers for immune checkpoint inhibitors in small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7621.
Abstract 7623: Biomarker study to personalized neoadjuvant chemotherapy using preoperative gastric cancer specimens of biopsy from the COMPASS trial, a phase II randmazed controlled trial
Authors: Oshima Takashi
Published: March 2024

Background and Aim: The results of COMPASS, a randomized phase II trial, suggest that preoperative adjuvant chemotherapy (NAC) regimen or course for locally advanced gastric cancer (GC) does not affect overall survival (OS). However, we hypothesized that some NAC regimens may be more effective for OS on a case-by-case basis. Furthermore, we searched for biomarkers, assuming that further improvement in the outcome of locally advanced GC could be expected if appropriate NAC regimens could be selected using biomarkers before treatment initiation.

Materials and Methods: RNA was extracted from endoscopic biopsy specimens of primary tumors collected prior to NAC administration in COMPASS patients, and real-time polymerase chain reaction (PCR) of 127 genes was performed to identify genes with significant (P < 0.05) interaction P values for survival with each regimen and stratified OS with each regimen. Genes were identified and biomarkers were searched at the protein level using immunohistochemical analysis.

Results: The THBS1, MSI1, and IGF2BP3 genes were identified as genes whose expression levels significantly (P < 0.05) stratified survival for each regimen and had significant (P < 0.05) interaction P values. Furthermore, a strong correlation was observed between each gene and THBS1, MSI1, and IGF2BP protein expression by immunohistochemical analysis, confirming that protein expression levels by immunohistochemical analysis are also useful as biomarkers.

Conclusion: Using endoscopic biopsy specimens prior to NAC for locally advanced GC, biomarkers were identified to select NAC regimens over predicted OS. The results of this study may guide the conduct of clinical trials of individualized treatment of NAC using biomarkers.

Citation Format: Takashi Oshima. Biomarker study to personalized neoadjuvant chemotherapy using preoperative gastric cancer specimens of biopsy from the COMPASS trial, a phase II randmazed controlled trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7623.
Abstract 7629: Association between COMT expression and therapeutic efficacy of androgen receptor-axis targeted in prostate cancer
Authors: Maekawa Shigekatsu , Takata Ryo , Shiomi Ei , Ikarashi Daiki , Matsuura Tomohiko , Kato Renpei , Kanehira Mitsugu , Sugimura Jun , Obara Wataru
Published: March 2024

Background: The enzyme of catechol-O-methyltransferase (COMT) inhibits the proliferation of prostate cancer (PCa). There has been no obvious biomarker that contributes to the selection of a therapeutic agent among new-generation androgen receptor-axis targeted (ARAT) therapy, such as abiraterone (ABI) or enzalutamide (ENZ). We aimed to assess the possibility of using COMT expression as a biomarker for PCa progression and the criteria for selecting ABI or ENZ.

Methods: We retrospectively evaluated 60 patients with PCa treated with ABI or ENZ via needle biopsy or radical prostatectomy. Immunostaining of COMT was performed using formalin-fixed, paraffin-embedded blocks obtained from the initial prostate biopsy for diagnosis or prostatectomy. Immunostaining evaluations were scored by immunostaining intensity (0-3) and staining area (0-3), and the total score ≥4 was defined as "high expression" and the total score <4 was defined as "low expression.” The associations between COMT expression levels and clinical outcomes, including the duration of ENZ or ABI response, were also assessed.

Results: Of the 60 cases, nine (15%) showed low expression of COMT. Overall survival was significantly shorter in patients with lower COMT expression (hazard ratio [HR] = 0.24, 95% confidence interval [CI] 0.07-0.83, P= 0.024). When ENZ was administered as the first ARAT, progression-free survival (PFS) was significantly different between patients with COMT expression scores <4 and ≥4 (median 5.9 and 23.3 months, respectively). However, when ABI was administered as the first ARAT, there was no significant difference in the PFS of ARAT between COMT expression scores <4 and ≥4.

Conclusion: Patients with lower COMT expression have a significantly poorer prognosis for PCa. In addition, PFS after ENZ administration, as the first ARAT, correlated with COMT expression levels. To our knowledge, this is the first report of an association between COMT expression and the duration of ARAT.

Citation Format: Shigekatsu Maekawa, Ryo Takata, Ei Shiomi, Daiki Ikarashi, Tomohiko Matsuura, Renpei Kato, Mitsugu Kanehira, Jun Sugimura, Wataru Obara. Association between COMT expression and therapeutic efficacy of androgen receptor-axis targeted in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7629.
Abstract 766: Effects of supplemental calcium and vitamin D on circulating biomarkers of gut barrier function in colorectal adenoma patients: A randomized controlled trial
Authors: Lee Sangji , Fedirko Veronika , Bostick Roberd M. , Pearce Bradley , Barry Elizabeth L. , Rutherford Robin E. , Seabrook March E.
Published: March 2024

Introduction: Recent experimental evidence shows that intestinal barrier disruption initiates colon inflammation, which may promote colorectal carcinogenesis. In experimental models, vitamin D and calcium improved gut barrier function; however, this has not been assessed in humans.

Method: To test the effects of supplemental calcium and vitamin D3 on circulating biomarkers of intestinal mucosal damage (intestinal fatty-acid binding protein, IFABP) and exposure to bacterial products due to impaired gut barrier (lipopolysaccharide-binding protein, LBP), we conducted an “adjunct biomarker study” to a larger 11-center, randomized, placebo-controlled, partial 2 × 2 factorial chemoprevention clinical trial, the Vitamin D/Calcium Polyp Prevention Study. Participants were randomized into four different treatment groups: placebo, 1,200 mg/day calcium, 1,000 IU/day vitamin D3, and 1,200 mg/day calcium plus 1,000 IU/day vitamin D3. Circulating concentrations of LBP and IFABP were measured at baseline and 1-year follow-up using the Meso Scale Discovery electrochemiluminescence assays in a subset of 118 participants included in the adjunct biomarker study.

Result: Following one year of vitamin D3 treatment, in the vitamin D3 plus calcium and vitamin D3 groups versus placebo and calcium groups, LBP decreased 10% (316 ng/ml; P=0.23) and IFABP 18% (77 ng/ml; P=0.06). A similar decrease of 20% (P=0.10) was observed for IFABP, but not LBP, in the vitamin D3 plus calcium versus the calcium group. There were no appreciable biomarker changes with calcium treatment. In stratified analyses, we found possible effect modifications by baseline serum 25-OH-vitamin D, total calcium intake, body mass index, and interleukin 6 (IL-6) concentration on estimated vitamin D3 treatment effects on LBP and/or IFABP.

Conclusion: These preliminary results are consistent with vitamin D’s potential protective effects on intestinal mucosal barrier and support further research of vitamin D against gut barrier disruption and colorectal neoplasms.

Citation Format: Sangji Lee, Veronika Fedirko, Roberd M. Bostick, Bradley Pearce, Elizabeth L. Barry, Robin E. Rutherford, March E. Seabrook. Effects of supplemental calcium and vitamin D on circulating biomarkers of gut barrier function in colorectal adenoma patients: A randomized controlled trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 766.
Abstract 7661: Integrating radiomic features from primary tumor and lymph node for survival prediction of HPV-associated oropharyngeal squamous cell carcinoma
Authors: Song Bolin , Leroy Amaury , Yang Kailin , Liu Qiyun , Li Xiao , Lee Jonathan , Stock Sarah , Saba Nabil F. , Lewis James S. , Deutsch Eric , Bilen Mehmet Asim , Koyfman Shlomo A. , Madabhushi Anant
Published: March 2024

Background: HPV-associated oropharyngeal squamous cell carcinoma (OPSCC) is a unique disease with improved prognosis which could benefit from treatment de-escalation. Current radiographic-based biomarkers mainly focus on primary tumor (PT) alone, neglecting the potential prognostic value from the lymph node (LN). In this work, we constructed a radiomic model integrating texture features from both PT and LN to predict overall survival (OS) in HPV-associated OPSCC patients.

Methods: Pretreatment CT scans for 647 OPSCC patients treated with definitive radiation with or without chemotherapy were acquired from The Cancer Imaging Archive (TCIA) and the Cleveland Clinic (CCF), which were divided into training set D1 (n=294) and test set D2 (n=353). PT and LN contours were annotated by three. 2045 texture radiomic features were extracted from both PT and LN and were concatenated as input to a LASSO Cox model to predict OS. We used the harrell’s concordance index (C-index) and hazard ratio (HR) to evaluate the prognostic performance. We also performed the multivariable cox proportional hazard analysis adjusting for clinicopathological variables to validate the independent prognostic significance.

Results: Among the 647 patients, median follow-up time was 70.23 months, with 155 patients (24%) experienced death. 22.6%, 38.8%, 23.2% and 15.4% had T stage I, II, III and IV tumors, respectively. 203 patients (31.4%) were treated with radiation alone. The model integrating PT and LN (M_PTLN) yielded higher C-index compared to PT alone (M_PT) on D1 (0.74 vs 0.66) and on D2 (0.64 vs 0.61). In univariate analysis on D2, M_PTLN is prognostic of OS (HR, 2.26; 95% CI, 1.32 - 3.87; log rank p = 0.003). In multivariable analysis, M_PTLN is still statistically significant (p = 0.04) accounting for clinicopathologic factors (age, gender, smoking pack-year [PY], T stage, N stage and treatment modality).

Conclusions: We developed and validated a CT-based survival prediction model for HPV-associated OPSCC patients with significant prognostic values, accounting for both primary tumor and lymph node. If prospectively validated, the model has the potential to inform trial eligibility and treatment-related decision making.

Citation Format: Bolin Song, Amaury Leroy, Kailin Yang, Qiyun Liu, Xiao Li, Jonathan Lee, Sarah Stock, Nabil F. Saba, James S. Lewis, Eric Deutsch, Mehmet Asim Bilen, Shlomo A. Koyfman, Anant Madabhushi. Integrating radiomic features from primary tumor and lymph node for survival prediction of HPV-associated oropharyngeal squamous cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7661.
Abstract 769: Incorporating a cross-ancestry polygenic risk score into a clinical model improved breast cancer risk prediction in women with pathogenic variants
Authors: Tshiaba Placede , Sun Monika , Ratman Dariusz , Weitzel Jeffrey N. , Shah Premal , Rabinowitz Matthew , Kumar Akash , Im Kate
Published: March 2024

Introduction. We previously developed and validated a cross-ancestry polygenic risk score (caPRS) to predict risk of developing breast cancer (BC) in women who do not carry pathogenic variants (PVs) in BC susceptibility genes. Here we aimed to expand upon that study by integrating the caPRS with the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model to combine the effects of genetic and clinical factors in carriers of PVs in BRCA1, BRCA2, PALB2, CHEK2 and ATM.

Methods. We explored the association of caPRS among 12,525 women from the UK Biobank and the Consortium of Investigators of Modifiers of BRCA1/2. The effect size of the caPRS was evaluated separately for individuals carrying PVs in BRCA1, BRCA2, CHEK2, ATM and PALB2. We used a logistic regression model adjusted for age, first-degree BC family history (FHx) and cohort for BRCA1 and BRCA2 to examine the association of the caPRS with BC. The effect sizes were expressed as standardized odds ratios (ORs) with 95% confidence intervals (CIs). The estimated absolute risks to age 80 of developing BC were calculated for unaffected women by combining the caPRS-based risk with gene-specific clinical risk estimates from the BOADICEA model based on U.S. incidences.

Results. The caPRS was significantly associated with BC risk across all PV carrier groups. Using BOADICEA alone, the estimated absolute BC risk by age 80 for an average unaffected 20-year-old female in the U.S. with an unknown FHx ranged from 23.8% for CHEK2 carriers to 79.4% for BRCA2 carriers. Integration of caPRS into BOADICEA, yielded the distribution of risk for each gene. (Table)

Gene N OR per SD (95% CI) Absolute risk by BOADICEA Median absolute risk by BOADICEA + caPRS (Range) ATM 2,037 1.46 (1.25 - 1.71) 24.9% 27.1% (0.1 - 70.5) BRCA1 5,794 1.24 (1.18 - 1.31) 76.1% 75.6% (55.6 - 87.7) BRCA2 4,018 1.40 (1.31 - 1.49) 79.4% 78.7% (45.2 - 92.1) CHEK2 372 1.88 (1.41 - 2.55) 23.8% 28.2% (0.0 - 78.4) PALB2 304 1.81 (1.37 - 2.43) 53.9% 56.3% (2.9 - 90.9)

Conclusions. The caPRS significantly modified BC risk for carriers of PVs and could help tailor guidelines for women with PVs, particularly in moderate penetrance genes. More data is needed to increase the precision and reach of risk assessment in diverse populations.

Citation Format: Placede Tshiaba, Monika Sun, Dariusz Ratman, Jeffrey N. Weitzel, Premal Shah, Matthew Rabinowitz, Akash Kumar, Kate Im. Incorporating a cross-ancestry polygenic risk score into a clinical model improved breast cancer risk prediction in women with pathogenic variants [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 769.
Abstract 774: Genetic architecture, evolutionary genomics, and genomic risk of prostate cancer in sub-Saharan Africa
Authors: Rebbeck Timothy R. , Janivara Rohini , Chen Wenlong C. , Hazra Ujani ,   MADCaP Network, Lachance Joseph
Published: March 2024

Men of African descent have the highest prostate cancer (CaP) incidence and mortality rates, yet the genetic basis of CaP in African men has been understudied. We performed the first large-scale genomic analysis of CaP across sub-Saharan Africa (SSA). We evaluated the evolutionary history of CaP-associated loci, generated a novel genomic risk score, inferred ancestry-specific genetic architectures, and fine-mapped disease associations using in 3,963 CaP cases and 3,509 controls recruited in Ghana, Nigeria, Senegal, South Africa, and Uganda through the Men of African Descent and Carcinoma of the Prostate (MADCaP) Network. Fifteen independent associations at 8q24.21, 6q22.1, and 11q13.3 reached genome-wide significance, including four novel associations. Multiple lead SNPs were private alleles in SSA, a pattern arising from recent mutations and the out-of-Africa bottleneck. These SSA-specific alleles contribute to haplotypes with odds ratios for CaP above 2.4. The genetic architecture of CaP differs across SSA, with effect size differences contributing more to this heterogeneity than allele frequency differences. Population genetic analyses reveal that SSA CaP associations are largely governed by neutral evolution, as opposed to natural selection. This finding is consistent with the late onset of this disease. Focusing on 2,502 age-matched cases and 2,222 non-cancer controls, we generated a novel genomic predictor of CaP. We then assessed the extent to which this polygenic risk score was correlated with age of onset, PSA levels, genetic ancestry, and family history of study participants. The performance of this novel polygenic risk score was tested on other populations of African descent, as well as populations with non-African ancestry. Our findings emphasize the utility of conducting genetic studies in diverse populations.

Citation Format: Timothy R. Rebbeck, Rohini Janivara, Wenlong C. Chen, Ujani Hazra, MADCaP Network, Joseph Lachance. Genetic architecture, evolutionary genomics, and genomic risk of prostate cancer in sub-Saharan Africa [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 774.
Abstract 781: Impact of vitamin D and pyruvate carboxylase on hypoxia inducible lipid droplet associated (HILPDA) protein in metastatic breast cancer cells
Authors: Song Yazhen , Andolino Chaylen , Teegarden Dorothy
Published: March 2024

Metastatic breast cancer, a critical health issue for women globally, is closely linked to aberrant lipid metabolism. One feature of this dysregulated metabolism is the increase in lipid storage in the form of cytoplasmic lipid droplets (CLDs), although what drives their accumulation or their role in metastasis is not clear. In prior studies, we demonstrated that the active form of vitamin D (1,25-dihydroxyvitamin D, 1,25(OH)2D) downregulates pyruvate carboxylase (PC), a key metabolic enzyme, thereby reducing lipid accumulation in metastatic breast cancer cells (MCF10CA1a). Additionally, we have demonstrated that both 1,25(OH)2D treatment and PC-inhibition reduce breast cancer cell migration. Therefore, the goal of the current research is to identify the proteins associated with CLDs in metastatic MCF10CA1a breast cancer cells following 1,25(OH)2D treatment or reduction in PC expression (shPC). Proteins from CLDs and whole cell lysates (WCL) were processed for untargeted proteomic analysis. In the CLD fractions, 1562 identified enriched proteins were common to both MCF10CA1a and 1,25(OH)2D treated cells, while 160 proteins were higher in the MCF10CA1a cells, and 550 proteins were higher in the 1,25(OH)2D-treated cells compared to MCF10CA1a CLD fraction. In the CLD fractions, MCF10CA1a and shPC cells had a similar level of 380 enriched proteins, although 65 were higher in the shPC compared with MCF10CA1a, whereas 1268 were more enriched in the MCF10CA1a CLD fraction. Hypoxia Inducible Lipid Droplet Associated (HILPDA, known to inhibit triacylglycerol lipolysis) was only enriched in the CLD fraction of the metastatic MCF10CA1a cells. HILPDA was not identified in the CLDs of the 1,25(OH)2D treated or the shPC cells, nor in any WCL fraction. Further investigation of HILPDA is important to determine if HILPDA plays a role in dysregulated cellular metabolism, including CLD accumulation, or migration, and may potentially be a target for future therapies to prevent breast cancer progression.

Citation Format: Yazhen Song, Chaylen Andolino, Dorothy Teegarden. Impact of vitamin D and pyruvate carboxylase on hypoxia inducible lipid droplet associated (HILPDA) protein in metastatic breast cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 781.
Abstract 812: Association of obesity with the early onset and diagnosis of triple negative breast cancer in black women
Authors: Sudan Sarabjeet Kour , Sharma Amod , Vikramdeo Kunwar Somesh , Davis Wade , Nelson Cindy , Singh Karan , Singh Ajay Pratap , Singh Seema
Published: March 2024

Breast cancer (BC) continues to be the most common cancer and the second leading cause of cancer-related death in American women. Furthermore, it affects Black women more adversely than their White counterparts, who experience an early disease onset, diagnosed more often with aggressive triple-negative breast cancer (TNBC) molecular subtype, and face greater mortality. The reasons for these disparities; however, are largely unknown. Here, using a retrospective dataset, we examined the association of body mass index (BMI) with BC early onset and diagnosis with specific molecular subtype in race-based distributions. Study cohort included 1085 BC patients, who visited University of South Alabama Health clinics between October, 2017 and March, 2022. Patients were divided into three BMI [(normal weight, NW (<24.9), overweight, OW (25-29.9), and obese, Ob (>30.0)], three age (<45 years, 45-65 years, >65 years), and four molecular subtypes [Luminal A (HR+, HER2-), Luminal B (HR+, HER2+), HER2 enriched (HR-, HER2+), and TNBC (HR-, HER2-) categories. The data show a higher prevalence of BC in Ob women (46%) than OW (27%) and NW (27%) women of all age groups and its incidence was much greater in Ob Black women (61%) than Ob White women (39%). Further, Black women had nearly twice higher diagnosis at an early age than White women. Moreover, Ob Black women had over 7- and 1.5-folds higher incidence of early onset BC than NW and OW Black women, respectively, whereas, early onset BC did not exhibit a correlative pattern in White women. Luminal A and TNBC subtypes were the most common in women with early onset BC and Black women exhibited more than twice incidence of TNBC (32%) compared to the White women (14%) of all ages. In contrast, incidence of luminal A subtype was less prevalent in Black (57.4%) than in White (72.6%) women. Interestingly, both luminal A and TNBC subtypes were also more prevalent in Ob women; however, the risk of being diagnosed with TNBC increased dramatically in Ob Black women compared to Ob White women. Together, these findings establish obesity as a major underlying cause of early onset BC and TNBC diagnosis in Black women, which could be targeted to diminish the BC disparity gaps.

Citation Format: Sarabjeet Kour Sudan, Amod Sharma, Kunwar Somesh Vikramdeo, Wade Davis, Cindy Nelson, Karan Singh, Ajay Pratap Singh, Seema Singh. Association of obesity with the early onset and diagnosis of triple negative breast cancer in black women [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 812.
Abstract 821: Uptake of cervical cancer screening services by women living with HIV in Kajiado County Kenya
Authors: Kamau Caren , Njoroge Alice , Makokha Francis , Ashing Kimlin T.
Published: March 2024

Background: This project is an African Caribbean Cancer Consortium (AC3) facilitated study: Women living with HIV (WLHIV) are more susceptible to cancer due to their immune-compromised status. The Kenya Ministry of Health recommends that women diagnosed with HIV should be screened for cervical cancer annually by either visual inspection with acetic acid (VIA) or visual inspection with Lugol’s iodine (VILI), cytology and testing for HPV once every two years.

Objective: We determined the uptake of cervical cancer screening and HPV testing by women living with HIV (WLHIV) in Kajiado County in 2022.

Methodology: The electronic health information system was used to abstract data for WLHIV in Kajiado county. Kajiado county has 57 antiretroviral (ART) facilities. However, our analysis accessed data from 38 facilities whose data is captured in the health information system. Authorized health care workers from the county were requested to abstract redacted data from the health information system. No personal identifiers were collected from the system as a means of protecting the privacy of individuals and abiding with the Kenya’s data protection law. Authorization to access the county was obtained from the county’s department of health while ethical approval was obtained from Mount Kenya University’s Institutional Scientific and Ethics Review Committee.

Results: A total of 16,827 people living with HIV were enrolled for care at the 38 ART selected sites in 2022. Out on the total population that was enrolled for care, 11,785 (70%) were women with an age range of 15 to 49 years. A total of 3342 WLHIV, representing 28.36% of the target population, were screened by using visual inspection with acetic acid (VIA). Data for other methods of screening and HPV testing was not available in the health information systems. Of those screened, 3240 (97%) tested negative, 78 (2.3%) had positive results while 24 (0.7%) had suspicious lesions.

Conclusion: Our analysis shows low uptake of cervical cancer screening services with only 28.36% of the targeted women being screened in 2022. The only available testing method (VIA) is less robust as compared to cytology and HPV testing. We also found a gap in reporting of HPV testing in the county. We thus recommend implementation science research examining the systemic barriers to HPV testing and reporting to better inform best practice HPV-related cancer prevention and control policy and practice to reduce cancer-related morbidity and mortality among WLHIV.

Citation Format: Caren Kamau, Alice Njoroge, Francis Makokha, Kimlin T. Ashing. Uptake of cervical cancer screening services by women living with HIV in Kajiado County Kenya [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 821.
Abstract 871: Unveiling the potential of bispecific antibodies: A comprehensive analysis of efficiency, toxicity, and repurposing in cancer treatment
Authors: Wang Binbin , Madan Sanna , Schaffer Alejandro , Ruppin Eytan
Published: March 2024

Bispecific antibodies have emerged as promising candidates for cancer treatment, prompting the necessity for a comprehensive understanding of their potential efficacy and toxicity across various cancer types. Leveraging single cell sequencing data, we systematically evaluated the efficacy and toxicity of all cell surface gene pairs across multiple cancers. First, we found that gene pairs involved in successful bispecific antibodies phase I/II clinical trials exhibited significantly higher efficacy scores and lower toxicity scores than gene pairs in those that failed, underscoring the utility of our method in selecting high-quality bispecific pairs. Second, to facilitate the identification of new pairs, we established baseline efficacy and toxicity scores based on successful phase I/II clinical trials, employing these scores to assess the potential of novel combinations. We systematically identified both cancer type-specific and pan-cancer candidate new bispecific antibody pairs. This extensive analysis not only provides valuable insights into the potential of bispecific antibodies to broaden the spectrum of cancer treatments, but also yields a highly confident list of candidate gene pairs capable of constructing effective bispecific antibodies.

Citation Format: Binbin Wang, Sanna Madan, Alejandro Schaffer, Eytan Ruppin. Unveiling the potential of bispecific antibodies: A comprehensive analysis of efficiency, toxicity, and repurposing in cancer treatment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 871.
Abstract 890: Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients
Authors: Boehm Kevin M. , Marra Antonio , Reis-Filho Jorge S. , Chandarlapaty Sarat , Pareja Fresia , Shah Sohrab P.
Published: March 2024

In early-stage hormone receptor-positive breast cancer, genomic risk scores identify patients who stand to benefit from up-front chemotherapy but introduce financial and logistical hurdles to care. We assembled a cohort of 5,244 patients with 11,671 corresponding whole-side images of breast tumors stained with hematoxylin and eosin. We developed a multimodal machine learning model to infer risk of distal metastatic recurrence from routine clinical data. Specifically, the model interprets text from the pathologist’s report using a large language model and uses self-supervised vision transformers to interpret the corresponding whole-slide image. Tensor fusion joins the modalities to infer Genomic Health’s Oncotype DX recurrence score. Inferred recurrence score from the multimodal model correlated with measured score with a concordance correlation coefficient of 0.64 (95% C.I. 0.59 - 0.69) in the withheld test set, compared to 0.55 (95% C.I. 0.49 - 0.61) and 0.56 (95% C.I. 0.52 - 0.60) for the linguistic and visual unimodal models, respectively. The multimodal model attains an area under the precision-recall curve (AUPRC) of 0.69 (AUROC=0.88) for identifying high-risk disease in the full-information setting (when images and pathology reports with quantitative hormone receptor status and grade are available) in a withheld test set, compared to AUPRC of 0.61 and 0.66 for the linguistic and visual models, respectively. By comparison, in the same full-information setting, the clinical nomogram introduced by Orucevic et al. in 2019 achieves an AUPRC of 0.48. We suggest the operating point at which precision is 94.4% and recall is 33.3%. Digitized whole-slide images of routine breast biopsies and their associated synoptic pathology reports contain much of the information necessary to stratify patients by risk of distal metastatic recurrence, when modeled appropriately. Our model could enable hospitals to rapidly triage the need for genomic risk testing, possibly precluding one third of orders without loss of accuracy. This helps allocate scarce resources for genomic tests and valuable weeks prior to beginning therapy while maintaining the standard of precision oncology.

Citation Format: Kevin M. Boehm, Antonio Marra, Jorge S. Reis-Filho, Sarat Chandarlapaty, Fresia Pareja, Sohrab P. Shah. Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 890.
Abstract 891: Turning data into information: Using PD3D® models to guide colorectal cancer therapy by Optim.AITM
Authors: Pfohl Ulrike , Mohd Abdul Rashid Masturah , Lim Jhin Jieh , Loskutov Juergen , Wedeken Lena , Chow Edward Kai-Hua , Saavedra Hugo , Reinhard Christoph , Regenbrecht Christian R.
Published: March 2024

Colorectal cancer (CRC) is one of the most prevalent and lethal malignancies globally with up to 50 % of patients eventually progressing to metastatic disease. The mitogen-activated-protein kinase (MAPK) pathway emerges as a key player, being one of the most frequently mutated signaling pathways in the oncogenesis of CRC. However, given the numerous genomic aberrations and tumor heterogeneity in CRC, patients may benefit from combinatorial therapies, particularly those who have inoperable or metastatic tumors. In the present study, we investigated the feasibility of combining two platforms, patient-derived 3D (PD3D®) models with Optim.AI™, to identify more effective cancer therapies. PD3D® models can robustly retain the genotypic and histopathologic features of the primary patient tumor, model tumor heterogeneity and were shown to predict a patient’s drug response. Optim.AI™ is a hybrid computational-experimental platform that uses small data sets to rationally converge to optimal drug combinations within a defined drug search space. By mapping experimental data points to a second-order quadratic function, Optim.AI™ can predict every possible 531k data points and thus the cell-killing efficacy for all other possible combinations without testing each individual drug-dose combination. Two CRC PD3D® models with different mutation profiles were tested with 155 different combinations of 12 drugs at variant concentrations. The post-treatment cell viability was measured and used for Optim.AI™ analysis to evaluate and compare the best therapies. Optim.AI™ analysis revealed differential drug sensitivity between tested CRC PD3Ds®. The top-ranked drug combinations included SN-38, active compound of commonly used chemotherapeutic irinotecan, paired with MEK-inhibitors trametinib or cobimetinib which we could confirm with both platforms. With this study, we successfully demonstrated the feasibility, the robustness, and the efficiency of combining PD3Ds® and Optim.AI™ in identifying effective drug combination therapies, here for CRC, within one month. This combined technology provides precise insights into tumor treatability and its functional causes of treatment outcomes, leading to new treatment combinations and accelerating the development of new cancer drugs in a time- and cost-effective manner.

Citation Format: Ulrike Pfohl, Masturah Mohd Abdul Rashid, Jhin Jieh Lim, Juergen Loskutov, Lena Wedeken, Edward Kai-Hua Chow, Hugo Saavedra, Christoph Reinhard, Christian R. Regenbrecht. Turning data into information: Using PD3D® models to guide colorectal cancer therapy by Optim.AITM [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 891.
Abstract 923: Biomarker use in oncology approvals in the US
Authors: Dou Yannan Nancy , Grimstein Christian , Wang Jian , Mascaro Jacques
Published: March 2024

Introduction: Precision medicine through the use of biomarkers has revolutionized the way we understand and combat cancer. We are summarizing the current state and challenges of biomarker use in the context of cancer therapeutic products approved by the United States Food and Drug Administration (FDA).

Methods: We curated a dataset of oncology therapeutic products approved by the FDA through the regular and accelerated pathways from 2011 to 2022, based on publicly available FDA database, approval letters and reviews, prescribing information, publications, and clinicaltrial.gov.

Results: During the period of 2011 to 2022, the FDA granted 132 accelerated and 331 regular approvals for 80 and 144 oncology therapeutic products with 133 and 340 new indications, respectively. The percentage of approvals for a biomarker-defined population was higher in accelerated approvals in comparison to regular approvals (i.e., 51% vs. 39%). The five disease sites with the highest number of approved indications were leukemia, lung, non-Hodgkin lymphoma, breast, and skin. The vast majority of lung and breast cancer indications were approved in a biomarker-defined population through a range of different biomarkers. Overall, HER2-, EGFR-, BRAF-, HR-, and ALK-defined populations received the highest numbers of approvals. The most common biomarkers linked to the approval of a specific cancer type include Philadelphia chromosome for leukemia, EGFR/ALK for lung cancer, HER2/HR for breast cancer, BRAF for skin cancer, and BRCA for ovarian cancer. Multiple myeloma, kidney cancer, and Hodgkin lymphoma did not have any approval with a biomarker-defined population. Non-Hodgkin lymphoma had a large number of approvals, but the percentage approved for a biomarker-defined population was small. dMMR, MSI-H or dMMR, BRAF mutation, NTRK fusions, TMB H, and RET fusions are biomarkers linked to tissue-agnostic indications approved for solid tumors only through the accelerated pathway.

Conclusion: To the best our knowledge, the analysis represents the most comprehensive overview of the current landscape on integration of biomarker in oncology therapeutic products approved by the FDA through both the accelerated and regular pathways. Our analysis shows that the FDA has increasingly approved indications based on biomarkers, particularly through the accelerated approval pathway. Biomarkers are reshaping cancer therapy under an evolving regulatory landscape with a growing emphasis on precision medicine that promises continued progress in personalized cancer care.

Citation Format: Yannan Nancy Dou, Christian Grimstein, Jian Wang, Jacques Mascaro. Biomarker use in oncology approvals in the US [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 923.
Abstract 954: An evaluation of the combination of metformin and Y15 for the treatment of platinum-resistant ovarian cancer
Authors: Duarte Manuel A. , Garcia Kristal , Arriaga Marco A. , Chew Sue Anne , Levy Arkene S. , Mendez Isabela
Published: March 2024

Ovarian cancer is the fifth leading cause of cancer mortality among women. This high mortality rate is linked to the development of resistance to first-line chemotherapy with platinum compounds which has been attributed in part to increased activity of focal adhesion kinase (FAK). The anti-diabetic drug Metformin was previously shown to inhibit the proliferation and migration of ovarian cancer cells and thus, the combination of a FAK inhibitor, Y15, and Metformin may be a promising treatment for platinum-resistant ovarian cancer (PROC). The objective of this study was to evaluate the combination of Y15 and Metformin on PROC cell viability and the mechanism of cell death. An MTT assay was used to analyze cell viability in PROC OVCAR3 cells after 48 h of treatment by measuring the absorbance at 570 nm with a microplate reader. Western blot was used to determine the protein levels of the apoptosis marker cleaved PARP and the autophagy marker LC3B-II. The exposure of OVCAR3 platinum-resistant ovarian cancer cells to Metformin (4.5 mM) + Y15 (5.5 µM) resulted in a significantly enhanced cytotoxicity (32.6 ± 1.8%) compared to single drug treatment with either Metformin (4.5 mM) (65.0 ± 4.2%) or Y15 (5.5 µM) (66.0 ± 4.8%). A combination of Metformin (7.8 mM) + Y15 (5.5 µM) also resulted in a significantly enhanced cytotoxicity (22.8 ± 1.5%) compared to single drug treatment with either Metformin (7.8 mM) (50.7 ± 3.7%) or Y15 (5.5 µM) (66.0 ± 4.8%). Cells treated with the combination of Metformin and Y15 for 24, 48, and 72-hours showed an increase in cleaved PARP compared to the control, Metformin alone and Y15 alone. For Metformin alone, there was an increase in cleaved PARP compared to the control at all timepoints and increased from 24 hours to 72 hours. For Y15 alone, the amount of cleaved PARP was also higher compared to the control at all time points, however, decreased over time from 24 hours to 72 hours. Cells treated with Metformin, Y15, and a combination of Metformin and Y15 showed no conversion of LC3B-I to LC3B-II, which occurs during autophagy. Thus, it is concluded that the mechanism of cell death for both Metformin and Y15 is through apoptosis and not autophagy and apoptosis is enhanced with the combination of the drugs. The delivery of Metformin and Y15 can result in an additive effect on cell viability through apoptosis and can be further explored as a promising approach for the treatment of PROC.

Citation Format: Manuel A. Duarte, Kristal Garcia, Marco A. Arriaga, Sue Anne Chew, Arkene S. Levy, Isabela Mendez. An evaluation of the combination of metformin and Y15 for the treatment of platinum-resistant ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 954.
Abstract 97: A E2F6 ceRNA network suppresses dendritic cell function, via PBX1/IL-10 signaling, in ovarian cancer
Authors: Chan Michael W.Y. , Chen Yin-Chen , Lin Ching-Wen , Cheng Frank , Yan Ching-Cher Sanders , Hsu Chao-Ping , Chuang Yu-Min , Low Jie-Ting , Ma Xiaojing , Huang Yao-Ting , Chang Chia-Bin , Li Chin , Lai Hung-Cheng , Wu Shu-Fen , Hung Shih-Hsun , Tsai Je-Chiang
Published: March 2024

It is reported that long-term use of estrogen could increase the risk of ovarian cancer. However, the role of estrogen in immunoevasion is not fully explored. We have previously demonstrated that estrogen-mediated upregulation of E2F6, and, c-Kit, by epigenetic silencing of miR-193a, and a competing endogenous (ceRNA) mechanism. In this study, we found that PBX1, a transcriptional activator of the immunosuppressive cytokine, IL-10, is also a target of miR-193a. Importantly, overexpression of the E2F6 3’UTR upregulates both E2F6 and, PBX1, as well as IL10 in ovarian cancer cell lines, suggesting that ceRNA mechanism exists between E2F6 and PBX1. These phenomena are further supported by our stochastic simulation of the estrogen-mediated E2F6 ceRNA network on the distribution of E2F6 and PBX1 mRNA in cancer cells, which is consistent with the TCGA ovarian cancer RNA-Seq dataset. Importantly, monocyte-derived dendritic cell activation of T-cell function was inhibited by pretreatment of conditioned media derived from ovarian cancer cells overexpressing E2F6 3’UTR; such inhibition was rescueable by an anti-IL-10 antibody. Clinically, IL10 level was higher in ovarian cancer patients with higher E2F6 and PBX1, and in ovarian cancer cell lines overexpressed with E2F6 3’UTR. Taken together, these results showed that E2F6 could suppress anti-tumor immune response of dendritic cell, E2F6 ceRNA network. Epigenetic intervention in restoring the expression of miR-193a may be able to enhance anti-tumor immune response against ovarian cancer.

Citation Format: Michael W.Y. Chan, Yin-Chen Chen, Ching-Wen Lin, Frank Cheng, Ching-Cher Sanders Yan, Chao-Ping Hsu, Yu-Min Chuang, Jie-Ting Low, Xiaojing Ma, Yao-Ting Huang, Chia-Bin Chang, Chin Li, Hung-Cheng Lai, Shu-Fen Wu, Shih-Hsun Hung, Je-Chiang Tsai. A E2F6 ceRNA network suppresses dendritic cell function, via PBX1/IL-10 signaling, in ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 97.
Abstract 992: The impact of tamoxifen on autophagic and epigenetic regulation in endometrial cancer
Authors: Thota Shilpa , Begum Rizwana , Chintala Naveen , Pandit Abhishek , Sapkota Biplov , Francis Joseph
Published: March 2024

Background: Endometrial cancer, predominantly endometrioid adenocarcinoma, ranks as the fourth most common cancer in women globally, with an increasing incidence over the last two decades. Tamoxifen, well-known for its antiestrogenic characteristics in the treatment of breast cancer, paradoxically increases the risk of endometrial cancer. Understanding this dual role of tamoxifen is crucial for optimizing breast cancer therapy while mitigating endometrial cancer risk. This study aims to elucidate the molecular alterations induced by tamoxifen in endometrial thickening and its potential to induce cancer, particularly focusing on autophagy, epithelial-mesenchymal transition (EMT), and cancer stem-like cells (CSCs).

Methods: In this study, female BALB/c mice were administered tamoxifen (20 mg/ml) orally for five consecutive days. We monitored changes in EMT markers, autophagy-related genes, and stem cell markers over 1 to 5 months. Furthermore, we investigated the epigenetic modulation of key genes involved in these processes.

Results: Tamoxifen treatment led to altered expression of both epithelial and mesenchymal EMT markers, autophagy-related genes (p62, LC3B, Beclin-1, mTOR, ATG12, ATG16), and stem cell markers (Nanog, SOX2, ALDH1). Notably, we observed significant epigenetic changes, including increased methylation of E-cadherin and decreased methylation of Twist. Furthermore, we observed hypermethylation (a process often linked to the silencing of tumor-suppressing genes) in MGMT (Methylguanine methyltransferase), a DNA repair enzyme involved in chemoresistance, and DAPK (Death-associated protein kinase), a kinase associated with apoptosis, autophagy, and inflammation. We also observed hypermethylation in the CpG promoter regions of autophagy-related genes (Beclin-1 and LC3B) highlighting a potential mechanism for tamoxifen-induced tumorigenic changes.

Conclusion: Our findings demonstrate tamoxifen's influence on cellular and molecular pathways, highlighting the complex interplay between drug treatment and cancer progression. The observed epigenetic changes provide insight into the mechanisms by which tamoxifen may contribute to endometrial cancer risk, suggesting potential targets for therapeutic intervention.

Citation Format: Shilpa Thota, Rizwana Begum, Naveen Chintala, Abhishek Pandit, Biplov Sapkota, Joseph Francis. The impact of tamoxifen on autophagic and epigenetic regulation in endometrial cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 992.
Figure S3 from D-2-HG Inhibits IDH1mut Glioma Growth via FTO Inhibition and Resultant m6A Hypermethylation
Authors: Pianka Sean T. , Li Tie , Prins Terry J. , Eldred Blaine S.C. , Kevan Bryan M. , Liang Haowen , Zapanta Rinonos Serendipity , Kornblum Harley I. , Nathanson David A. , Pellegrini Matteo , Liau Linda M. , Nghiemphu Phioanh Leia , Cloughesy Timothy F. , Lai Albert
Published: March 2024

Effects of FTO and ALKBH5 shRNA Knockdown or Overexpression on Glioma Cell Growth.