Citations

Abstract Background: Immune checkpoint inhibitors (ICIs) have improved survival in non-small-cell lung cancer (NSCLC), yet only a subset of patients benefits, and biomarkers like PD-L1 remain limited. Here, we introduce a deep learning-based pathomics framework that utilizes routine H&E-stained slides to predict therapeutic response and survival outcomes in ICI-treated metastatic NSCLC. Methods: The study included 797 ICI-treated NSCLC patients from MD Anderson, with external validation in 280 patients from Mayo Clinic, Gustave Roussy, and the Phase III ICI-naïve LUSC Lung-MAP S1400I trial receiving nivolumab with or without ipilimumab. Path-IO (Pathology-Driven Immunotherapy Optimization) comprised of four major steps: (1) pathologist-verified tissue classifier segmented WSIs into eight compartments—Background, Bronchi, Immune, Lung, Necrosis, Stroma, Tumor, and Vessel—and was validated on TCGA and CPTAC dataset; (2) a survival prediction module generating patient-level risk scores in the MD Anderson cohort and validated across external datasets; (3) integration of Path-IO risk scores with radiomics and clinical features to improve prognostic accuracy; and (4) biological interpretability analyses correlating Path-IO risk immune contexture from multiplex immunofluorescence and transcriptomic signatures from NanoString profiling. Results: Path-IO effectively stratified patients into high and low-risk groups with significant survival differences. In the MD Anderson cohort, it achieved HR = 2.11 (p < 0.001) and HR = 2.51 (p < 0.001) for OS in the discovery and validation sets, and HR = 2.34 (p < 0.001) and HR = 1.87 (p < 0.001) for PFS, respectively. In the multicenter Phase III Lung-MAP S1400I trial, Path-IO achieved HR = 1.78 (p = 0.016) for OS and HR = 2.76 (p = 0.006) for PFS. In external validation, it predicted outcomes in the Gustave Roussy (OS = 1.97, p = 0.003; PFS = 1.51, p = 0.046) and Mayo Clinic (OS = 2.46, p = 0.007; PFS = 2.45, p = 0.027) cohorts. Path-IO outperformed PD-L1 and remained an independent predictor in multivariate analysis (p < 0.001). It enabled data-driven frontline selection between anti-PD-1 monotherapy and chemo-immunotherapy, offering guidance toward more personalized treatment decisions. Integration with radiomics and clinical features further improved predictive accuracy (OS 0.63→0.75; PFS C-index 0.58→0.70), while high Path-IO risk scores correlated with immune-cold phenotypes identified by multiplex immunofluorescence and NanoString transcriptomics. Conclusions: Path-IO demonstrates that deep learning models rooted in histopathologic architecture can generate interpretable and biologically informed survival predictions in NSCLC treated with ICIs. By integrating pathology, radiology, and clinical data, Path-IO provides complementary predictive value beyond established biomarkers such as PD-L1. Citation Format: Rukhmini Bandyopadhyay, Linghzi Hong, Mihaela Aldea, Shenduo Li, Lodovica Zullo, Frank R. Rojas, Maliazurina B. Saad, Maricel C. Marin, Muhammad Waqas, Jiexin Zhang, Eman Showkatian, Claudio A. Arrechedera, Xiaoyu Han, Yuliya Kitsel, Sherif Ismail, Muhammad Aminu, Bo Zhu, Carol C. Wu, Brett W. Carter, Joe Y Chang, Zhongxing Liao, Maria R. Ghigna, Davide Soldato, Hai T. Tran, Xiuning Le, Tina Cascone, Bingnan Zhang, Haniel A. Araujo, Mehmet Altan, Simon Heeke, David Jaffray, Don L. Gibbons, Ara Vaporciyan, J Jack Lee, Neda Kalhor, Cara Haymaker, Ignacio Wistuba, John V. Heymach, Yanyan Lou, Natalie Vokes, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu. Path-IO: A deep learning pathomics framework for personalized immunotherapy selection and outcome prediction in metastatic non-small cell lung cancer [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 4003.

PURPOSE There is growing scientific interest in incorporating patient-reported outcomes (PROs) in early phase dose-finding oncology trials (DFOTs) to assess tolerability, inform dose selection, and guide later stage trial design. However, research indicates that PRO objectives in DFOTs are often unclear. The Incorporating Patient-Reported Outcomes in Dose-Finding Trials-Research Objectives Recommendations (OPTIMISE-ROR) project was established to support trialists to effectively incorporate PROs into DFOTs. METHODS Using the Enhancing Quality and Transparency of Health Research (EQUATOR) Network's methodological framework, guideline development included the following: (1) a methodological review of published DFOTs incorporating PROs; (2) candidate item generation, refined through expert consultation; (3) a two-round international multistakeholder Delphi survey (N = 109 in Round 1 [October 2024]; N = 96 in Round 2 [December 2024]); and (4) an independently chaired virtual consensus meeting (N = 31; January 2025) where multidisciplinary, international experts reviewed and voted to finalize items for inclusion. RESULTS Consensus was reached on six recommendations emphasizing three core PRO tolerability concepts: overall side effect impact, symptomatic adverse events, and overall health-related quality of life. The integration of PROs to inform final dose recommendations in dose escalation and optimization trials should be considered, regardless of trial design. The recommendations highlight the importance of PRO data analysis over time and across dose levels, defining PRO research objectives as descriptive or statistically powered, and assessing PRO-related end points to guide end point selection for subsequent studies. CONCLUSION This foundational guidance outlines key PRO research objectives in DFOTs. By facilitating the systematic integration of PROs, this guidance supports the utilization of patient-centered evidence for the tolerability and efficacy assessment of therapies to inform dose escalation, optimization, and regulatory evaluation—ultimately contributing to the development of safer, more effective therapies.

Docetaxel +/− ramucirumab remains the standard-of-care therapy for patients with metastatic non-small-cell lung cancer (NSCLC) after progression on platinum doublets and immune checkpoint inhibitors (ICIs). The aim of our study was to investigate whether the cancer gene mutation status was associated with clinical benefits from docetaxel +/− ramucirumab. We also investigated whether platinum/taxane-based regimens offered a better clinical benefit in this patient population. A total of 454 patients were analyzed (docetaxel +/− ramucirumab n=381; platinum/taxane-based regimens n=73). Progression-free survival (PFS) and overall survival (OS) were compared among different subpopulations with different cancer gene mutations and between patients who received docetaxel +/− ramucirumab versus platinum/taxane-based regimens. Among patients who received docetaxel +/− ramucirumab, the top mutated cancer genes included TP53 (n=167), KRAS (n=127), EGFR (n=65), STK11 (n=32), ERBB2 (HER2) (n=26), etc. None of these cancer gene mutations or PD-L1 expression was associated with PFS or OS. Platinum/taxane-based regimens were associated with a significantly longer mQS (13.00 m, 95% Cl: 11.20–14.80 m versus 8.40 m, 95% Cl: 7.12–9.68 m, LogRank P=0.019) than docetaxel +/− ramcirumab. Key prognostic factors including age, histology, and performance status were not different between these two groups. In conclusion, in patients with metastatic NSCLC who have progressed on platinum doublets and ICIs, the clinical benefit from docetaxel +/− ramucirumab is not associated with the cancer gene mutation status. Platinum/taxane-based regimens may offer a superior clinical benefit over docetaxel +/− ramucirumab in this patient population.

e21030 Background: Docetaxel +/- ramucirumab remains the standard of care therapy after progression on platinum doublet and immune checkpoint blockade (ICB) in patients with metastatic non-small cell lung cancer (NSCLC). However, the clinical benefit from docetaxel is short-lived with substantial toxicity. Additionally, whether cancer gene mutation status impacts the benefit from docetaxel has not been systemically studied. In this real-world study, we aim to investigate whether cancer gene mutation status is associated with benefit from docetaxel. We also explored whether IMPOWER150-based regimens (ABCP-atezolizumab + bevacizumab + carboplatin + paclitaxel; ACP-atezolizumab + carboplatin + paclitaxel; BCP-bevacizumab + carboplatin+paclitaxel) may serve as alternative options with better efficacy in this patient population. Methods: We retrospectively queried MD Anderson Cancer Center GEMINI database for patients with metastatic NSCLC who received docetaxel, docetaxel+ramucirumab, or one of the above-mentioned IMPOWER150-based regimens after progression on concomitant or sequential platinum-doublet and ICI. Primary endpoints include progression-free survival (PFS) and overall survival (OS). Results: 274 patients were analyzed (docetaxel n = 99; docetaxel +ramucirumab n = 142; ABCP n = 28; BCP n = 4, ACP n = 1). No significant difference was observed in mPFS (3.00m versus 3.93m, P = 0.156) or mOS (8.40m vs.8.67m, P = 0.737) between patients from docetaxel monotherapy group and docetaxel+ ramucirumab group. Cancer gene mutations in EGFR, KRAS, TP53 or PD-L1 expression (0-1%; 1-49%; ≥50%) were not associated with PFS or OS in the 241 patients treated with docetaxel +/- ramucirumab. Furthermore, there was no difference in mPFS (5.50m versus 3.47m, P = 0.516) or mOS (10.40m versus 8.83m, P = 0.737) in patients who received IMPOWER 150-based regimens compared to those who were treated with docetaxel+/- ramucirumab. The median treatment duration was 1.60m (0.70m-20.23m), 1.90m (0.70m-32.90m), 4.80m(0.70m-33.47m) and 11 patients (11.11%), 20 patients (14.08%), and 3 patients (9.09%) discontinued treatment due to adverse events in the patients treated with docetaxel monotherapy, docetaxel+ramucirumab combined therapy, and the IMPOWER150 regimens, respectively. Conclusions: These results from this real-world study suggested that unlike for ICI therapy, where onco-driver mutations have profound impact on the clinical benefit, the cancer gene mutation status does not impact the benefit from docetaxel +/- ramucirumab in NSCLC patients who progressed on platinum doublets and ICI. Furthermore, the clinical benefit from docetaxel +/- ramucirumab is short-lived. Novel treatment regimens are urgently needed in this clinical setting.

Abstract Patients diagnosed with germline mutations in MMR genes (Lynch Syndrome, LS) have up to 70-80% lifetime risk of colorectal cancer. Therefore, this high-risk population has the potential to benefit from effective chemopreventive strategies. Naproxen is an NSAID widely used for pain treatment with an excellent safety profile that has demonstrated to be more efficacious preventing colorectal cancer compared to aspirin in vivo using an intestinal tissue-specific mouse model of LS (VC-Msh2-LoxP). The ‘Naproxen trial' was designed to evaluate the modulation of PGE2 levels in colorectal mucosa, evaluate safety and tolerability, and discover novel molecular pathways involved in the chemopreventive activity of naproxen in LS patients. Methods: Participants were randomized to naproxen 440 mg (HD), 220 mg (LD) and placebo by mouth daily for 6 months. Modulation of prostaglandin levels, number of adverse events (AEs) observed in each treatment arm and gene expression profiles by next-generation sequencing (mRNAseq) in normal colorectal mucosa of LS patients after 6 months of intervention were examined. Results: Eighty participants diagnosed with LS were randomized, 25 participants to HD, 27 to LD, and 28 to placebo. From these patients, 54 were considered evaluable per-protocol analysis: 16 in the HD group, 15 in the LD and 23 in placebo. The level of prostaglandin E2 in the colorectal mucosa decreased significantly after treatment with both LD and HD naproxen when compared to placebo (-91.2%±14.1, -93.6%±7.9, and 23.8%±108.4, P-value<0.001, respectively). Moreover, levels of PGE2 urinary metabolite (PGE-M) were significantly changed in both treatment groups when compared to placebo (-47.7%±56.9, -41.1%±40.5, 7.6%±94.3, P-Value<0.018). The intervention was well tolerated, no severe AEs related to treatment were reported, and the total number of AEs was not different across treatment arms. LD and HD naproxen promoted the activity of the immune system by activating different immune cell types without any effect on lymphoid cellularity and changed the expression patterns of the intestinal crypt towards epithelial differentiation and stem cell regulation. Conclusions: Naproxen is a promising strategy for immune interception in LS that induces immune-modulation coupled with changes in the dynamics of the intestinal crypt. We have also discovered naproxen-induced gene expression profiles for their potential use as predictive biomarkers of drug activity. Citation Format: Laura Reyes Uribe, Wenhui Wu, Ozkan Gelincik, Prashant V. Bommi, Alejandro Francisco-Cruz, Luisa M. Solis, Patrick M. Lynch, Ramona Lim, Elena Stoffel, Priyanka Kanth, N. Jewel Samadder, Maureen E. Mork, Melissa W. Taggart, Ginger L. Milne, Lawrence J. Marnett, Lana Vornik, Diane D. Liu, Maria Revuelta, Kyle Chang, Y. Nancy You, Levy Kopelovich, Ignacio I. Wistuba, J. Jack Lee, Shizuko Sei, Robert H. Shoemaker, Eva Szabo, Ellen Richmond, Asad Umar, Marjorie Perloff, Powell H. Brown, Steven M. Lipkin, Eduardo Vilar. Naproxen chemoprevention promotes immune activation in Lynch syndrome colorectal mucosa [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT111.

Objective Patients with Lynch syndrome (LS) are at markedly increased risk for colorectal cancer. It is being increasingly recognised that the immune system plays an essential role in LS tumour development, thus making an ideal target for cancer prevention. Our objective was to evaluate the safety, assess the activity and discover novel molecular pathways involved in the activity of naproxen as primary and secondary chemoprevention in patients with LS. Design We conducted a Phase Ib, placebo-controlled, randomised clinical trial of two dose levels of naproxen sodium (440 and 220 mg) administered daily for 6 months to 80 participants with LS, and a co-clinical trial using a genetically engineered mouse model of LS and patient-derived organoids (PDOs). Results Overall, the total number of adverse events was not different across treatment arms with excellent tolerance of the intervention. The level of prostaglandin E2 in the colorectal mucosa was significantly decreased after treatment with naproxen when compared with placebo. Naproxen activated different resident immune cell types without any increase in lymphoid cellularity, and changed the expression patterns of the intestinal crypt towards epithelial differentiation and stem cell regulation. Naproxen demonstrated robust chemopreventive activity in a mouse co-clinical trial and gene expression profiles induced by naproxen in humans showed perfect discrimination of mice specimens with LS and PDOs treated with naproxen and control. Conclusions Naproxen is a promising strategy for immune interception in LS. We have discovered naproxen-induced gene expression profiles for their potential use as predictive biomarkers of drug activity. Trial registration number gov Identifier: NCT02052908

Abstract The recent pace, extent, and impact of paradigm-changing cancer prevention science has been remarkable. The American Association for Cancer Research (AACR) convened a 3-day summit, aligned with five research priorities: (i) Precancer Atlas (PCA). (ii) Cancer interception. (iii) Obesity-cancer linkage, a global epidemic of chronic low-grade inflammation. (iv) Implementation science. (v) Cancer disparities. Aligned with these priorities, AACR co-led the Lancet Commission to formally endorse and accelerate the NCI Cancer Moonshot program, facilitating new global collaborative efforts in cancer control. The expanding scope of creative impact is perhaps most startling—from NCI-funded built environments to AACR Team Science Awarded studies of Asian cancer genomes informing global primary prevention policies; cell-free epigenetic marks identifying incipient neoplastic site; practice-changing genomic subclasses in myeloproliferative neoplasia (including germline variant tightly linked to JAK2 V617F haplotype); universal germline genetic testing for pancreatic cancer; and repurposing drugs targeting immune- and stem-cell signals (e.g., IL-1β, PD-1, RANK-L) to cancer interception. Microbiota-driven IL-17 can induce stemness and transformation in pancreatic precursors (identifying another repurposing opportunity). Notable progress also includes hosting an obesity special conference (connecting epidemiologic and molecular perspectives to inform cancer research and prevention strategies), co-leading concerted national implementation efforts in HPV vaccination, and charting the future elimination of cancer disparities by integrating new science tools, discoveries and perspectives into community-engaged research, including targeted counter attacks on e-cigarette ad exploitation of children, Hispanics and Blacks. Following this summit, two unprecedented funding initiatives were catalyzed to drive cancer prevention research: the NCI Cancer Moonshot (e.g., PCA and disparities); and the AACR-Stand Up To Cancer bold “Cancer Interception” initiative.

AbstractThis article reviews progress in chemopreventive drug development, especially data and concepts that are new since the 2002 AACR report on treatment and prevention of intraepithelial neoplasia. Molecular biomarker expressions involved in mechanisms of carcinogenesis and genetic progression models of intraepithelial neoplasia are discussed and analyzed for how they can inform mechanism-based, molecularly targeted drug development as well as risk stratification, cohort selection, and end-point selection for clinical trials. We outline the concept of augmenting the risk, mechanistic, and disease data from histopathologic intraepithelial neoplasia assessments with molecular biomarker data. Updates of work in 10 clinical target organ sites include new data on molecular progression, significant completed trials, new agents of interest, and promising directions for future clinical studies. This overview concludes with strategies for accelerating chemopreventive drug development, such as integrating the best science into chemopreventive strategies and regulatory policy, providing incentives for industry to accelerate preventive drugs, fostering multisector cooperation in sharing clinical samples and data, and creating public-private partnerships to foster new regulatory policies and public education.