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7546 citation(s) found for "Ku, Matthew".

Abstract 7344: Family history of hematologic malignancy and prognosis across lymphoma subtypes: Novel association with poor outcomes in follicular lymphoma
Cholack, George , Mwangi, Raphael , Hinder, Verena, Griffen, Rosalie, Robinson, Dennis P. , Feldman, Andrew L., Ansell, Stephen M. , Thompson, Carrie A. , Novak, Anne J. , Cholack, George A , Habermann, Thomas M. , Hinder, Verena, Feldman, Andrew L. , Witzig, Thomas E. , Link, Brian K. , Wang, Yucai , Slager, Susan L. , Maurer, Matthew J. , Cerhan, James R.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 7344-7344

10.1158/1538-7445.am2025-7344 Get It

Abstract Family history of hematologic malignancy (FHHM) is an established risk factor for developing lymphoma, but studies examining associations between self-reported FHHM and lymphoma prognosis during the recent treatment era are limited. Utilizing a prospective cohort study, we evaluated associations between FHHM and prognosis for common lymphoma subtypes, including diffuse large B-cell (DLBCL), follicular (FL), marginal zone (MZL), mantle cell (MCL), Hodgkin (HL), and T-cell (TCL) lymphomas. We used the Mayo Clinic component of the Molecular Epidemiology Resource, a prospective cohort study of newly diagnosed lymphoma patients enrolled from 2002 to 2015. Self-reported FHHM (HL, NHL, leukemia, or multiple myeloma) in a first-degree relative was obtained via questionnaire. Primary outcomes were overall survival (OS) and event-free survival (EFS; time from diagnosis to disease progression, initiation of second-line therapy, or all-cause death). Secondary outcomes were failure to achieve 24 months of event-free survival (EFS24; associated with aggressive disease and poor outcomes) and lymphoma-specific survival (LSS; time from diagnosis to death from lymphoma or lymphoma treatment-related complications). We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for the association of FHHM with OS, EFS, and LSS, and logistic regression to estimate odds ratios (ORs) and 95% CI for the association with failure to achieve EFS24. All models were adjusted for sex and a lymphoma subtype specific prognostic index. The cohort consisted of 650 DLBCL, 679 FL, 291 MZL, 178 MCL, 254 HL, and 196 TCL patients. The prevalence of FHHM ranged from 9.7% in TCL to 14% in FL. FHHM was not associated with OS in any subtype, but MCL patients with FHHM showed an inferior EFS (HR=1.70, 95% CI 1.02-2.85; p=0.04). For EFS24, FHHM was associated with failure to achieve EFS24 only in FL (OR=1.57, 95% CI 0.99-2.48; p=0.05). Similarly, FHHM was associated with inferior LSS in FL patients (HR=1.98, 95% CI 1.11-3.53; p=0.02). In a treatment subgroup analysis of FL patients, the FHHM associations with failure to achieve EFS24 (OR=2.48, 95% CI 1.04-5.74; p=0.04) and inferior LSS (HR=2.68, 95% CI 1.09-6.58; p=0.03) strengthened among those treated with frontline immunochemotherapy (IC). In summary, there were no evidence of associations between FHHM and OS across lymphoma subtypes, but MCL patients with FHHM displayed inferior EFS. FL patients with FHHM were more likely to not achieve EFS24 and to ultimately die of their lymphoma or a lymphoma treatment-related complication. This finding was stronger in more aggressive FL requiring frontline IC. This novel finding would suggest that genetic or environmental factors associated with FHHM may underlie pathways that impact disease aggressiveness and early clinical failure in FL. Citation Format: George Cholack, Raphael Mwangi, Thomas M. Habermann, Verena Hinder, Rosalie Griffen, Dennis Robinson, Andrew L. Feldman, Thomas E. Witzig, Stephen M. Ansell, Brian K. Link, Yucai Wang, Carrie A. Thompson, Susan L. Slager, Matthew Maurer, Anne J. Novak, James R. Cerhan. Family history of hematologic malignancy and prognosis across lymphoma subtypes: Novel association with poor outcomes in follicular lymphoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7344.
Abstract 7130: Spatially resolved single-cell analysis reveals cGAS-STING-mediated tumor-immune interactions via IFNα as determinants of pembrolizumab sensitivity in triple-negative breast cancer
Liu, Yi , Chumsri, Saranya , Ma, Yaohua , Perez, Edith A. , Leon‐Ferre, Roberto A. , Zahrieh, David M. , Knutson, Keith L. , Thompson, E. Aubrey , Carter, Jodi M. , Nassar, Aziza , Hillman, David W. , Boughey, Judy C. , Ingle, James N. , Kalari, Krishna R. , Couch, Fergus J. , Goetz, Matthew P. , Knutson, Keith L.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 7130-7130

10.1158/1538-7445.am2025-7130 Get It

Abstract Purpose: While an addition of immune checkpoint inhibitor (ICI), pembrolizumab, has improved outcomes of patients with TNBC, early-stage TNBC patients with residual cancer burden (RCB) II/III after neoadjuvant chemotherapy in combination with pembrolizumab (NAP) still have poor outcomes. Previously, we demonstrated that intratumoral HLA-DRA expression and interferon-alpha (IFNα) responses were associated with immune-inflamed phenotype and better outcomes in TNBC patients receiving chemotherapy. This study utilized the CosMx™ SMI to investigate in early-stage TNBC treated with NAP. Methods: Of 151 samples from TNBC patients treated with NAP at Mayo Clinic, 8 pre-treatment biopsy samples (5 pCR and 3 RCB II/III were analyzed using the CosMx™ SMI platform. Linear mixed models to assess differential expression (DE), adjusting for hierarchical data structures. DE analyses were expressed as log2-fold changes (logFC), with the Benjamini-Yekutieli method. GSEA and IPA for signaling pathway exploration. Results: 1.7 million cells were identified across 8 samples after stringent quality control. Immune cell profiling revealed higher B cells, plasma cells, plasmablasts, and T cells (CD4 and CD8) in responders, whereas fibroblasts and myeloid cells were enriched in non-responders. DE analysis showed significantly elevated expression of HLA-DRA (logFC 1.955, p<0.001), other MHC class I and II components, and IFNα in responders. Tumor cells in responders exhibited the highest IFNα expression across cell types. GSEA and IPA analysis revealed enrichment in interferon signaling, antigen presentation, and the cGAS-STING pathway, which drives IFNα production. Spatial analysis categorized cells by their proximity to tumor cells: within 50 µm, 50-100 µm, and over 100 µm. T cells, particularly CD8 T cells, showed a distance-dependent distribution, with a higher abundance near tumor cells in responders. CD8 T cell activation scores declined with increasing distance from IFNα-positive tumor cells but remained consistently low near IFNα-negative tumor cells. IFNγ-positive CD8 T cells exhibited higher activation compared to IFNγ-negative cells, with activation levels influenced by proximity to tumor cells. Lastly, MHC expression in tumor cells was examined relative to CD8 T cell proximity. HLA-DRA and CIITA expression decreased as tumor cells were farther from CD8 T cells. Conclusions: This spatially resolved single-cell analysis highlights the pivotal role of tumor-immune interactions in response to pembrolizumab in TNBC. Our data suggest that tumor cells secrete IFNα through the activation of the cGAS-STING pathway, which activates T cells within close proximity, highlighting the potential role of cGAS-STING agonist as well as IFNα signaling and antigen presentation in augmenting TNBC responses to ICIs. Citation Format: Yi Liu, Saranya Chumsri, Yaohua Ma, Jodi M. Carter, Aziza Nassar, Edith Perez, Roberto A. Leon-Ferre, David Zahrieh, David W. Hillman, Judy C. Boughey, James Ingle, Krishna R. Kalari, Fergus J. Couch, Matthew P. Goetz, Keith L. Knutson, E. Aubrey Thompson. Spatially resolved single-cell analysis reveals cGAS-STING-mediated tumor-immune interactions via IFNα as determinants of pembrolizumab sensitivity in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7130.
Abstract 6388: Exploiting CTPS1 dependency for the treatment of breast and ovarian cancer
Wang, Xiyin , Emch, Michael , Voll, Lauren, Epp, Rebecca, Rodman, Esther , Odell, Noa, Pearson, Nicole A, Hou, Xiaonan , Weroha, S. John , Hawse, John R. , Wang, Xiyin, Epp, Rebecca, Odell, Noa, Goetz, Matthew P. , Kaufmann, Scott H. , Beer, Philip

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 6388-6388

10.1158/1538-7445.am2025-6388 Get It

Breast and ovarian cancer represent the most common and lethal cancers in women. Despite chemotherapy and targeted agents, recurrence is frequent and outcomes for patients with advanced disease are dismal, underscoring the need for novel therapeutic strategies. Using an unbiased approach with DepMap CRISPR screens across more than 1000 cancer cell lines, we identified six genes (CTPS1, RHOA, PRKRA, RAD9A, HUS1, and RAD1) that were essential for triple negative breast cancer (TNBC) cells, but not ERα+ breast cancer cells, that were also associated with poor outcomes. Validation of these effects by siRNA knockdown studies revealed that suppression of CTPS1 elicited the most potent inhibitory effects, characterized by S phase cell cycle arrest and apoptosis. Similar effects were also found in ovarian cancer cells which share many molecular features. CTPS1, along with CTPS2, is responsible for enzymatic conversion of UTP to CTP, an essential nucleoside triphosphate required for multiple cellular processes including DNA/RNA synthesis, phospholipid synthesis and glycosylation. CTPS1 was found to be highly expressed in tumor tissues, for both breast and ovarian cancer. RT-PCR assessment of CTPS1 expression in a panel of over 40 breast and ovarian cancer lines confirmed variable, but elevated expression relative to normal models. Notably, chemotherapy-resistant and PARP inhibitor (PARPi)-resistant models exhibited the highest levels of CTPS1 expression among all cells analyzed. In partnership with Step Pharma, which has developed a first-in-class highly selective CTPS1 inhibitor (STP938), we have demonstrated that STP938 elicits potent anti-proliferative effects at nM concentrations across many cell line and patient derived models, both in 2D and 3D culture systems. Furthermore, STP938 exhibited strong anti-cancer activity in chemotherapy- and PARPi-resistant ovarian cancer models, both as a monotherapy and in combination with standard-of-care treatments. RNA-seq analysis in cell models following STP938 treatment or CTPS1 knockdown/knockout showed significant dysregulation of DNA replication and cell cycle related genes, suggesting potential synergy with drugs targeting replication stress or DNA damage response pathways. Single-cell sequencing further revealed specific cell-cell interactions/cross talk/pathways that are disrupted by STP938 in vivo using ovarian cancer patient-derived xenograft. The first-in-human clinical trial for STP938 began in 2022 for relapsed/refractory B- and T-cell lymphomas (NCT05463263). In August 2024, a second phase I trial opened for advanced solid tumors, including an expansion cohort for CTPS2-null ovarian cancer (NCT06297525) at Mayo Clinic. These laboratory discoveries, and ongoing clinical studies, are expected to pave the way for a broader uptake of this novel therapeutic approach aimed at improving outcomes in patients with highly aggressive forms of these diseases. Citation Format: Xiyin Wang, Michael Emch, Lauren Voll, Rebecca Epp, Esther Rodman, Noa Odell, Nicole Pearson, Xiaonan Hou, Matthew Goetz, Scott Kaufmann, John Weroha, Philip Beer, John Hawse. Exploiting CTPS1 dependency for the treatment of breast and ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6388.
Abstract 6266: Spatial profiling of prognostic differences in the tumor microenvironment between primary and metastatic ovarian cancer using multiplexed protein imaging
Moore, Raymond M. , Atherton, Chathu L., Block, Matthew S. , McCauley, Bryan M. , Goode, Ellen L., Guo, Ray, Huang, Yajue, Wang, Chen , Novotny, Brenna C. , Winham, Stacey J. , Markovic, Svetomir N.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 6266-6266

10.1158/1538-7445.am2025-6266 Get It

Abstract Background: The tumor microenvironment (TME) plays a pivotal role in ovarian cancer (OC) progression and prognosis, while also contributing to biological differences between primary and metastatic tumors. This study examines OC TMEs to uncover associations with clinical prognosis and tumor biology by analyzing paired primary and metastatic tumors from the same patients. Methods: This study focused on 57 stage-IIIC/IV OC patients treated at the Mayo Clinic, all of whom underwent surgical debulking and adjuvant therapies. All patients provided informed consent, and the study received IRB approval. A tissue microarray (TMA) was specifically designed and constructed, containing paired primary and metastatic tissue cores from the same patients. 147 tissue cores from the constructed TMA were profiled using a 35-antibody panel, with 17 antibodies for cell phenotyping and 18 for functional state characterization. Profiling was performed using Cell DIVE, a multiplexed imaging solution at the single-cell level developed by Leica Microsystems. After cell segmentations and classifications, detailed spatial niche and regional analyses were performed at the single-cell level. Immune cell populations, as well as their TME distributions, were characterized to conduct prognostic associations and contrast primary and metastasis differences. Results: A total of 1,292,988 total cells (after excluding low-density signals and ambiguous classifications) were analyzed, with a median of 8,033 cells per core. Using spatial neighborhood analysis, 12 distinct spatial niches were identified with specific cell types and/or unique functional states. Among these, a macrophage- and fibroblast-enriched niche at the tumor-stroma interface was associated with improved overall survival (p=0.008). Another rare Treg-enriched niche, along with other immune cells, demonstrated protective effects, particularly in patients with residual macroscopic tumors after debulking surgery (p=0.05), while no significant effects were observed in those without visible residual disease (p=0.8). When comparing primary and metastatic tumors, metastatic lesions exhibited significantly increased tumor mass (p=2e-4) and a notable reduction in helper T cells (p=0.04) in tumor areas, as well as significantly increased fibroblast cells in tumor-stroma interfacing regions (p=0.002), reflecting distinct immunosuppressive and tumor-promoting shifts. Conclusion: This study reveals spatial and cellular differences in primary and metastatic OC TMEs, distribution differences linked to prognosis and surgical outcomes. These findings emphasize the potential of spatially resolved TME profiling to refine adjuvant and neoadjuvant therapeutic strategies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6266.
Abstract 1666: Novel endoxifen-based proteolysis targeting chimera (PROTAC) small molecules synergize with olaparib and exhibit potent antitumor activity in triple negative breast cancer through induction of DNA damage
Thulung, Lucy Rai, Bruinsma, Becky, Welch, Baustin M. , Wyatt, Samuel, Rodman, Esther , Bhattacharya, Sayantani , Hawse, John R. , Schellenberg, Matthew J. , Dekhne, Aamod S. , Jayaraman, Swaathi , Thulung, Lucy Rai , Wyatt, Samuel, Bhattacharya, Sayantani, Caulfield, Thomas R. , Goetz, Matthew P.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 1666-1666

10.1158/1538-7445.am2025-1666 Get It

Abstract Breast cancer (BC) is the most common cancer diagnosed in American women. The majority of breast cancers express estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor receptor 2 (HER2). However, 15-20% lack expression of all three and are called triple-negative breast cancer (TNBC). TNBC accounts for a disproportionately large amount of morbidity and mortality due to its aggressive nature and the paucity of effective adjuvant maintenance therapy, driving an urgent need for novel therapeutics. Z-endoxifen (ENDX) is a potent tamoxifen metabolite that dually targets ERα and protein kinase C beta I (PKCβI). We recently described next-generation molecules, the first-in-class endoxifen-PROTAC (ENDX-PROTAC) compounds which incorporate ENDX as the warhead and cereblon (CRBN) as the E3 ubiquitin ligase recruitment moiety (Jayaraman 2024, SABCS). We used the PRISM screen of over 900 cancer cell lines to determine that ENDX-PROTACs have broad antitumor activity in both TNBC and ER+ breast cancer in addition to, leukemia, pancreatic, lymphoma, lung, melanoma, and ovarian cancer cells, among others. ENDX-PROTACs primarily target a key translation termination factor, G to S phase transition 1 (GSPT1). Here, we demonstrate for the first time that these compounds also cause marked DNA damage. The lead compounds of this series, EPrC-007 and EPrC-009 demonstrated potent anti-proliferative effects in MDA-MB-231, BT549, and MDA-MB-436 TNBC cell lines. EPrC-007 induced substantial DNA double strand breaks in MDA-MB-231 cells as assessed by γ-H2AX Western blotting. Interrogation of DNA repair pathways revealed activation of ATM/CHK2 and downregulation of ATR/CHK1, suggesting inhibition of DNA repair as a potential mechanism. Additionally, EPrC-007 also induced γ-H2AX foci in MDA-MB-231 and BT549 cells, but not in the MCF10A normal breast tissue cell line, suggesting selective anti-tumor activity. Since we suspect that EPrC-007 blocks DNA repair machinery, we next sought to determine if these molecules would synergize with DNA damaging agents or other DNA repair inhibitors. Promisingly, EPrC-007 demonstrated remarkable synergy with olaparib (poly-(ADP-ribose) polymerase (PARP) inhibitor), hydroxyurea (ribonucleotide reductase inhibitor), and cisplatin (direct DNA damaging agent), but not camptothecin (topoisomerase I inhibitor). Importantly, only olaparib co-treatment demonstrated synergy in the PARP- and PROTAC-resistant HCC1143 TNBC cell line. Furthermore, the combination of EPrC-007 with olaparib induced markedly more γ-H2AX foci than either agent alone, confirming synergy at the DNA damage level. Taken together, our studies demonstrate the remarkable potential of ENDX-PROTACs in the single-agent setting as well as in combination with PARP inhibitors. Citation Format: Aamod S. Dekhne, Swaathi Jayaraman, Lucy Rai Thulung, Becky Bruinsma, Baustin M. Welch, Samuel Wyatt, Esther P. Rodman, Sayantani Bhattacharya, Thomas R. Caulfield, John R. Hawse, Matthew J. Schellenberg, Matthew P. Goetz. Novel endoxifen-based proteolysis targeting chimera (PROTAC) small molecules synergize with olaparib and exhibit potent antitumor activity in triple negative breast cancer through induction of DNA damage [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1666.
Abstract 4684: An in vivo comparison of 137Cs and orthovoltage irradiation for murine bone marrow transplantation
Carlson, Brett L. , Rajcula, Matthew, Shapiro, Michael J. , Burgenske, Danielle M. , Shapiro, Michael J., Shapiro, Virginia Smith , Sarkaria, Jann N.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 4684-4684

10.1158/1538-7445.am2025-4684 Get It

Total body irradiation for bone marrow transplantation (BMT) conditioning is commonly used in immunologic research. Historically, cesium-137 (137Cs) irradiators were predominantly used as a radiation source for these studies. However, 137Cs has a moderate half-life (30 years), is highly water soluble, and poses significant environmental and radiological safety concerns. As a result, the Department of Energy is promoting the replacement of 137Cs irradiation systems with orthovoltage x-ray cabinet systems, which pose no such concerns. Because the physical characteristics of x-ray and 137Cs photon beams have slightly different energy deposition characteristics, the relatively biological effectiveness (RBE) for x-rays is slightly higher than 137Cs in cell survival studies. This study aims to compare the RBE of orthovoltage and 137Cs irradiators with regards to BMT efficiency. Total body irradiation was performed on C57BL6 mice using 137Cs or 320 kVp x-rays across six dose levels to establish a RBE for lethality. Cohorts of five mice were irradiated using split-dose radiation delivered four hours apart. Daily observations and body weights were captured over a 30-day period. Mice with poor body condition scores or weight loss ≥20% were euthanized. With x-rays, 50% lethality was observed ∼750 cGy while 137Cs required ∼850 cGy, which results in an RBE of 750 cGy/850 cGy = 0.88. Bone marrow ablation and subsequent engraftment efficacy was compared in a parallel study. Cohorts of five C57BL6 CD45.1 recipient mice received total body irradiation with an established single dose 1000 cGy 137Cs regimen or a range of x-ray doses (910-1030 cGy single-dose) and then were infused with CD45.2 donor bone marrow. Ten weeks after BMT, bone marrow, spleen, thymus, and peripheral blood were analyzed via multi-color flow cytometry and the percentage of CD45.1 and CD45.2-positive cells were analyzed to determine marrow engraftment efficiency across various immune compartments. A clear dose-response relationship with bone marrow ablation and engraftment was observed in the stem cell and progenitor compartments. LSK (Lineage- Sca-1+ c-Kit+) cells and other hematopoietic progenitors in the bone marrow were efficiently engrafted (>99%) except for the lowest dose of 910 cGy (around 98%). Similarly, in the spleen, B cells, myeloid, megakaryocyte/erythrocyte, and granulocyte/macrophage lineages were also efficiently engrafted similar to that of 137Cs. Developing thymocytes were efficiently replaced by all radiation regimens, while replacement of peripheral T cell populations varied but were similar to traditional 137Cs at the highest doses. Taken together, these data demonstrate comparable BMT efficiencies with orthovoltage irradiation after appropriate dose-optimization. Citation Format: Danielle M. Burgenske, Brett L. Carlson, Matthew J. Rajcula, Michael J. Shapiro, Virginia M. Shapiro, Jann N. Sarkaria. An in vivo comparison of 137Cs and orthovoltage irradiation for murine bone marrow transplantation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 4684.
Abstract 5978: Pharmacological blockade of AURKA and NOTCH3 oncogenic pathways to inhibit cancer cell plasticity in triple negative breast cancer
D’Assoro, Antonino B. , Leon‐Ferre, Roberto A. , Haddad, Tufia C. , Montagner, Annapaola, Takchi, Andrew , Babadi, Ellie, Goetz, Matthew P. , Lange, Carol Ann , Ingle, James N. , Miele, Lucio , Lendahl, Urban

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 5978-5978

10.1158/1538-7445.am2025-5978 Get It

Abstract Background: Despite recent advances in the treatment of triple negative breast cancer (TNBC) many patients are still suffering from early recurrence, therapy resistance, and organ metastasis 1 to 3 years post-chemotherapy. TNBC cells with stem cell-like properties are resistant to standard of care chemotherapy and are responsible for early tumor relapse and poor outcome. Up-regulation of PD-L1 expression in Cancer Stem Cells (CSCs) has been associated with immune evasion capacity and promotion of their stem-like properties. In this study we identify two druggable stemness target, Aurora-A Kinase (AURKA) and NOTCH3, with positive feedback on intra-tumoral PD-L1 expression and cancer cell plasticity. Methods: MDA-MB 231, MDA-MB 231 LM and SUM149-PT TNBC cells were used both in 2D and 3D environment. Unique TNBC cells were established from metastatic PDX models. TNBC cells were treated with Alisertib (AURKA inhibitor, 50nM) or AV353 (NOTCH3 inhibitor, 200ng). Immunofluorescence and immunoblot were used to compare different biomarker expression. ALDH was measured using Aldefluor kit. Apoptotic cells were quantified in real-time using IncuCyte S3. In vivo studies; 1x106 MDA MB 231/LM cells were injected into the mammary fat pad of NSG-female mice and treated with Alisertib or AV353. Control groups were treated with pacebo. Results: Our study shows that AURKA and NOTCH3 pharmacological blockade reduced nuclear/undruggable PD-L1, that is not achieved clinically by using FDA-approved immune checkpoint inhibitors (ICIs). Significantly, following stemness-targeted therapy with alisertib or AV353, reduction of intra-tumoral PD-L1 resulted in inhibition of tumor growth, decreased levels of CD44 expression, increased CD8+ T-cell tumor infiltration, impairment in the enrichment of ALDHhigh CSCs and enhanced chemosensitivity. In vivo pharmacological blockade of AURKA and NOTCH3 signaling pathways induced inhibition of tumor growth, apoptosis, and impairment of organ metastases. Conclusions: This study demonstrates that selective AURKA and NOTCH3 pharmacological blockade results in the inhibition of cancer cell plasticity that is linked to reduction of undruggable nuclear PD-L1 in TNBC cells. Our findings provide the strong preclinical rationale to develop novel clinical trials for patients with advanced TNBC that are refractory to chemotherapy and show limited response to FDA-approved ICIs. Citation Format: Antonino Bonaventura D'Assoro, Matthew Goetz, Carol Lange, Roberto Leon-Ferre, Tufia Haddad, James Ingle, Annapaola Montagner, Andrew Takchi, Ellie Babadi, Lucio Miele, Urban Lendahl, Urban Lendahl. Pharmacological blockade of AURKA and NOTCH3 oncogenic pathways to inhibit cancer cell plasticity in triple negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5978.
Abstract 2035: Clinical-immunological correlates in platinum resistant or refractory ovarian cancer patients treated with chimeric oncolytic adenovirus encoding TNFa and IL-2 (TILT-123) in combination with pembrolizumab
Clubb, J., Block, Matthew S. , Mäenpää, Johanna , Arias, Victor , Heijden, Mirte van der , Haybout, Lyna , Ramadan, Susan, Kononen, Juha , Cohen, Julia W. , Singh, Nadena, Goldfinch, John, Sorsa, Suvi , Havunen, Riikka , Kistler, Claudia , Santos, João M. , Pakola, Santeri A. , Quixabeira, Dafne C.A. , Kudling, Tatiana Viktorovna , Jirovec, Elise , Alanko, Tuomo , Adamo, Daniel A. , Sormunen, Jorma , Chisamore, Michael Jon , Cervera-Carrascón, Víctor , Hemminki, Akseli

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 2035-2035

10.1158/1538-7445.am2025-2035 Get It

Abstract Background: Ad5/3-E2F-D24-hTNFa-IRES-hIL-2 (TILT-123) is an oncolytic adenovirus armed with TNFa and IL-2. The cytokine pairing demonstrated superior tumor immunomodulation in preclinical studies. Subsequent studies supported evaluation of TILT-123 in PROTA, a phase 1 study of TILT-123 in combination with pembrolizumab in platinum resistant or refractory ovarian cancer patients. Biomarker analysis is ongoing. Experimental procedures: In this phase 1a dose escalation trial (NCT05271318), 15 patients received an initial single intravenous dose of TILT-123 ranging from 3x1011 to 4x1012 VPs, followed by intratumoural and/or intraperitoneal injections ranging from 1x1011 to 5x1011 VPs. Patients also received i.v. pembrolizumab (200mg) every three weeks starting on day 36. The primary endpoint was safety by day 92, while efficacy by RECIST1.1 and overall survival (OS) were secondary endpoints. Collection of tumour biopsies and blood, including PBMCs and serum, enabled evaluation of MoA and identification of preliminary biomarkers. Summary of data: ORR was 7.1% in evaluable patients (1/14). Disease control rate was 64% in evaluable patients (n = 14) and median OS was 190 days (n =15). Patients with disease control and no disease control by 92 achieved a median OS of 571 days and 138 days respectively. Correlations of complete blood count with differential to OS (n =15) and imaging response (n = 14) revealed a greater drop in lymphocyte count after treatment, as well as baseline lymphocyte count positively correlated with OS and disease control (PR/SD vs PD). Correlation of prothrombin INR to OS revealed patients with a slower blood-clotting rate at baseline and post-treatment positively correlated with OS. Analysis of anti-adenovirus neutralizing antibody (nAb) titer revealed 77% of all patients were positive for nAbs prior to treatment. All patients developed nAbs in blood and ascites (ascites n = 3). Patients presenting with nAbs at baseline achieved longer OS than those not positive. Additionally, a higher titer post-treatment positively correlated with OS and disease control. Percentage and fold change increase in IgM expression on plasma cells on day 36 positively correlated with OS. In addition, a higher expression of IgM on the surface of plasma cells at baseline was observed in patients achieving disease control. Conclusion: These preliminary results identify a key role of circulating lymphocyte re-distribution and humoral immune response as markers of treatment benefit. Initial phenotyping implicates IgM producing plasma cells as a potentially relevant immune cell population. Additionally we observed a correlation between the coagulation cascade and OS. Citation Format: James H. Clubb, Matthew Block, Johanna Mäenpää, Victor Arias, Mirte van der Heijden, Santeri Pakola, Dafne C. Quixabeira, Tatiana Kudling, Elise Jirovec, Lyna Haybout, Tuomo Alanko, Daniel Adamo, Susan Ramadan, Jorma Sormunen, Juha Kononen, Michael J. Chisamore, Julia W. Cohen, Nadena Singh, John Goldfinch, Suvi Sorsa, Riikka Havunen, Claudia Kistler, João M. Santos, Víctor Cervera-Carrascon, Akseli Hemminki. Clinical-immunological correlates in platinum resistant or refractory ovarian cancer patients treated with chimeric oncolytic adenovirus encoding TNFa and IL-2 (TILT-123) in combination with pembrolizumab [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2035.
Abstract 4831: DNA methylation of immune synapse genes drives tumor immune evasion
Hamaidi, Imène , Putney, Ryan M. , Kim, Sungjune , Berglund, Anders , Mills, Matthew N. , Mulé, James J.

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 4831-4831

10.1158/1538-7445.am2025-4831 Get It

Abstract Background: While cancer immunotherapies have revolutionized treatment, their efficacy remains limited for most patients, highlighting tumors' capacity to evade immune detection. Epigenetic modifications, particularly DNA methylation, play a pivotal role in silencing immune-related pathways, thereby facilitating immune escape. By modulating gene expression, methylation disrupts immune activation, contributing to reduced tumor immunogenicity. This study examines the methylation landscape of co-stimulatory and immune checkpoint genes across various cancers to elucidate how these changes influence immune responses. Methods: Using The Cancer Genome Atlas (TCGA), we analyzed methylation and gene expression profiles across diverse cancer types. Data from 8,186 solid tumors and 745 adjacent normal tissues were processed via t-distributed stochastic neighbor embedding (t-SNE) with 247 probes targeting 20 immune-related genes. Principal component analysis (PCA) was applied to capture methylation variability across 8,931 tumor and normal samples. To explore the effects of methylation on immune gene expression, we analyzed data from 26 epithelial cancer cell lines treated with 5-azacitidine, a demethylating agent, using the GSE57342 dataset. Post-treatment changes in gene expression were assessed, and survival analyses from prior studies were used to explore clinical correlations. Results: We identified distinct methylation patterns in immune synapse genes, differentiating tumors from adjacent normal tissues. Co-stimulatory genes such as CD40 were hypermethylated in tumors, correlating with decreased expression, whereas immune checkpoint genes like PDL1 and HHLA2 were hypomethylated, correlating with increased expression. This inverse relationship between methylation and gene expression underscores the transcriptional regulatory role of DNA methylation. Treatment with 5-azacitidine reversed hypermethylation in co-stimulatory genes, including CD40, potentially enhancing immune recognition. Methylation levels of these genes were also associated with T cell infiltration into the tumor microenvironment and predicted better outcomes in melanoma patients, underscoring their clinical relevance. Conclusion: This study demonstrates that DNA methylation of immune synapse genes contributes to tumor immune evasion by modulating immune gene expression. Targeting these epigenetic alterations represents a promising strategy to restore tumor immunogenicity and improve immunotherapy outcomes, particularly when combined with immune checkpoint inhibitors. Reversing methylation-driven immune suppression could strengthen the immune response and enhance clinical outcomes for cancer patients. Citation Format: Imene Hamaidi, Anders Berglund, Matthew Mills, Ryan M. Putney, James J. Mulé, Sungjune Kim. DNA methylation of immune synapse genes drives tumor immune evasion [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 4831.
Abstract 2470: Transforming cancer diagnosis with digital chemical pathology
Oh, Ji-Hun , Liu, Yen‐Ting , Ho, Ruo-Jing , Sharma, Ishaan , Orr, Andres C., Tamonis, Mykolas, Cheville, John C. , Falahkheirkhah, Kianoush , Yeh, Kevin L. , Confer, Matthew P. , Bhargava, Rohit

Mayo Clinic

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 2470-2470

10.1158/1538-7445.am2025-2470 Get It

Pathology remains a labor-intensive discipline, relying on workflows rooted in practices established over a century ago. Despite incremental technological advancements, the diagnostic process—from tissue preparation to interpretation—still heavily depends on thinly sliced tissue sections stained and examined under brightfield microscopy by skilled pathologists. Difficult cases often necessitate iterative staining or complex immunohistochemistry (IHC) analyses. However, the recent emergence of machine learning (ML) presents an opportunity to revolutionize traditional diagnostic workflows. One promising advancement is Digital Chemical Pathology (DCP), a paradigm that combines modern ML algorithms with infrared (IR) imaging to streamline pathology and enhance diagnostic accuracy. Infrared wavelengths inherently align with molecular vibrational frequencies, providing intrinsic contrast based on the chemical composition of samples. Mid-IR spectroscopic microscopes leverage this principle to spatially resolve molecular distributions at the pixel level, creating "chemical fingerprints" that ML algorithms can correlate with cellular identities and disease states. Recent advancements, particularly the development of broadly tunable quantum cascade lasers (QCLs), have enabled faster IR imaging, paving the way for clinical applications of IR spectroscopic microscopes. In this research, we demonstrate the potential of DCP using frozen tissue samples. Our approach focuses on two core tasks: (1) virtual staining, translating IR images into realistic, stained images interpretable by pathologists, and (2) tissue segmentation, enabling the automated detection of cancer and the distinction between normal and cancerous tissues. Furthermore, we incorporate statistical safety algorithms to generate uncertainty maps, ensuring the reliability of predictions. Our findings highlight that the integration of IR imaging and ML can facilitate automated diagnostics, providing pathologists with powerful tools for enhanced healthcare delivery. By leveraging DCP, we aim to modernize pathology workflows, reduce diagnostic turnaround times, and improve patient outcomes through precise and efficient analysis. Citation Format: Kianoush Falahkheirkhah, Kevin Yeh, Ji-Hun Oh, Yen-Ting Liu, Ruo-Jing Ho, Ishaan Sharma, Matthew Confer, Andres Orr, Mykolas Tamonis, John Cheville, Rohit Bhargava. Transforming cancer diagnosis with digital chemical pathology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2470.