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.

Abstract Spatial transcriptomics links gene expression to tissue architecture, providing a mechanistic view of cellular organization. Yet existing datasets cover few donors and miss the complexity of human disease. Experimental costs remain prohibitive, and large-scale profiling is impractically slow for population-level studies. Accurate computational methods are urgently needed. Predicting gene expression from standard histology, however, remains an open problem, as current approaches transfer poorly to unseen cohorts and diseases. Here, we present Phoenix, a (latent) flow matching generative model that infers pan-cancer spatially resolved single-cell gene expression with high accuracy. Phoenix analyzes treatment response in silico: Applied to 763 head and neck cancer patients, it identified three new spatial biomarkers that we validated across two cancers (breast cancer, n = 84; ovarian cancer, n = 157) and treatment regimens (platinum, trastuzumab). Phoenix generalizes beyond carcinomas: In a large sarcoma cohort (802 tissue microarray cores), it accurately predicted cell-type-specific signatures in held-out samples and captured chemotherapy-induced immune remodeling. Phoenix also extends across species: In a mouse model, it accurately predicted the expression of pancreatic cancer lineage markers and the mutant mKras^G12D allele in silico. In total, we evaluated Phoenix on over 10,000 patients. Our results establish virtual spatial transcriptomics as a scalable framework for studying tissue organization, therapeutic response, and disease mechanisms.

Importance Adjuvant chemotherapy regimens may be administered after pancreatic resection for adenocarcinoma arising from intraductal papillary mucinous neoplasms (A-IPMNs), although the evidence supporting their use is limited. Objective To evaluate the survival benefit associated with contemporary adjuvant chemotherapy regimens after resection in A-IPMNs between 2017 and 2023. Design, Setting, and Participants This retrospective cohort study was an international, multicenter study with 69 participating centers across Europe, North America, South America, and the Asia-Pacific region. Patients undergoing resection for A-IPMNs were included. Data were analyzed from May to August 2025. Intervention Contemporary adjuvant chemotherapy regimens, such as gemcitabine-capecitabine (GemCap); 5-fluorouracil, leucovorin, oxaliplatin, and irinotecan (FOLFIRINOX), modified FOLFIRINOX (mFOLFIRINOX), and S-1. Main Outcome and Measure Overall survival (months). Results Among 1321 patients (median [IQR] age 70 [63 to 76] years; 713 males [54.0%] and 608 females [46.0%]), 781 patients (59.1%) received adjuvant chemotherapy, while in 181 patients (13.7%) it was omitted due to poor patient fitness. Of patients who received adjuvant chemotherapy, 568 patients (72.6%) received contemporary regimens, including GemCap (232 patients [29.7%]), FOLFIRINOX (176 patients [22.5%]), mFOLFIRINOX (71 patients [9.1%]), and S-1 (70 patients [9.0%]). The median (IQR) follow-up for the cohort was 64.2 (40.4 to 85.0) months, and the median overall survival was 73.8 months (95% CI, 66.4 to 81.9 months). After 90-day landmark analysis and exclusion of patients ineligible for chemotherapy, adjuvant chemotherapy vs no adjuvant chemotherapy (propensity score–matched populations, 243:243 patients) was not associated with improved overall survival (median, 82.3 months; 95% CI, 78.2 months to not applicable [NA] vs not reached; 95% CI, 75.3 months to NA; P = .58). Contemporary regimens vs no adjuvant chemotherapy (propensity score–matched populations, 309:309 patients) was not associated with longer survival, and a mean survival benefit greater than 4.2 months over 5 years was excluded (difference in restricted mean survival, 1.26 months; 95%, −1.72 to 4.24 months). Treatment outcomes did not vary by chemotherapy regimen or disease characteristic (eg, N stage or carbohydrate antigen 19-9 level). Conclusions and Relevance In this study, contemporary adjuvant chemotherapy was not associated with improved overall survival in A-IPMNs, and a randomized clinical trial is indicated.

ABSTRACT Recent advances in the diagnosis and management of reflux disease were the central focus of the inaugural Gatherings in Esophagology (GiE), which convened experts across gastroenterology, surgery, otolaryngology, pulmonology, and basic research. The sessions highlighted innovations in reflux monitoring—including high‐resolution manometry, wireless pH monitoring, and novel salivary biomarkers—while critically evaluating their diagnostic accuracy and clinical utility. Presentations explored the limitations of traditional proton‐pump inhibitor therapy, the emergence of potassium‐competitive acid blockers as a new class of acid suppressants, and the evolving role of adjunctive treatments such as mucosal protectants, reflux reducers, and neuromodulators for refractory symptoms. The discourse extended to advanced interventional procedures, including transoral incisionless fundoplication, magnetic sphincter augmentation, and the RefluxStop device, with discussion of patient selection, efficacy, and complication management. Discussants emphasized the pathophysiology and management of extraesophageal manifestations of reflux, the interplay between reflux and pulmonary disease, and the diagnostic challenges in pediatric populations. The meeting also addressed the integration of behavioral therapies, the role of the microbiome, and the application of artificial intelligence in reflux diagnostics. Collectively, these insights underscore a shift toward precision medicine in reflux disease, emphasizing individualized diagnostic strategies and tailored therapeutic approaches to improve patient outcomes.

(1) Background: Mammographic breast density (MBD) is a well-established predictor of breast cancer risk, yet the biological mechanisms underlying this association remain incompletely understood. MBD is characterized by alterations in breast stromal architecture, including increased collagen deposition and changes in immune cell composition. Given emerging evidence that the breast harbors a resident microbiome, we investigated whether the breast tissue microbiome correlates with MBD. (2) Methods: Adjacent normal breast tissue was collected under sterile conditions from 33 women undergoing surgery for benign or malignant breast disease. DNA was extracted and subjected to 16S rRNA gene sequencing (Illumina MiSeq). (3) Results: We observed a non-significant trend toward lower α-diversity in high-MBD samples compared to low-MBD samples, p = 0.13. β-Diversity analyses identified a modest association between MBD and microbial community composition (MiRKAT p = 0.049). A random forest-based model incorporating genus-level relative abundances improved prediction of MBD over clinical characteristics alone, identifying Corynebacterium (Actinobacteria) and other genera as key predictors. (4) Conclusions: Breast tissue microbial features vary with mammographic breast density, suggesting a potential association with density-associated breast cancer risk. These exploratory findings warrant validation in larger cohorts to better elucidate biological mechanisms and clinical relevance.

Background Corticosteroid injections (CSIs) are widely employed for chronic pain. These injections include peripheral nerve blocks and trigger point injections, injections of large appendicular joints, the axial facet and sacroiliac joints, and the epidural space. These injections may be performed in patients who have been recently vaccinated or plan to be vaccinated. This multisociety multispecialty position statement aims to develop evidence-based statements and recommendations (SRs) on the safe interval between CSIs and COVID-19 and influenza vaccine administration. Methods Development of the position statement was approved by the American Society of Regional Anesthesia and Pain Medicine Board of Directors and several other societies that agreed to participate. The scope of the SRs was agreed on to include the efficacy of COVID-19 and influenza vaccines, adverse events related to the CSIs, specifically the effect of CSIs on the hypothalamic–pituitary axis, incidence of COVID-19 in patients who had CSIs during the pandemic, incidence of influenza in patients who had CSIs during the influenza season, and recommend a reasonable interval between CSIs and COVID-19 and influenza vaccination 20 mg/day of prednisone s. Experts were assigned topics to perform a comprehensive literature review and draft SRs, which were refined and voted for consensus (≥75% agreement) using a modified Delphi process. A modified version of the US Preventive Services Task Force grading of evidence and strength of recommendation was followed. Results All SRs were approved by all participants after four rounds of discussion. The Practice Guidelines Committees and Boards of Directors of the participating societies also approved all SRs. If a vaccine has been recently administered or planned, then for non-urgent indications, the CSI should be offered at least 1 week before or after vaccine administration. For healthy patient(s), CSI, or vaccine administration may be performed without a 7-day interval after informed discussion with the patient and consent regarding the risk of blunted vaccine efficacy. For non-healthy patients, shared decision-making should include discussion of diminished vaccine effectiveness and the possibility of influenza or COVID-19 infection. Conclusions In this position statement, we provide recommendations on the optimal timing between CSIs and COVID-19 or influenza vaccine.

ABSTRACT In cartilage tissue engineering, there is a growing interest in dynamic hydrogels that promote spheroid fusion and cartilaginous matrix deposition, while maintaining sufficient stability for long‐term construct maturation. In this study, Diels‐Alder click chemistry is employed as a dynamic‐covalent crosslinking method to create hydrogels composed of hyaluronic acid, gelatin, and PEG. By adjusting the pH during crosslinking, the tuneability of hydrogel stiffness and stability at pH values around the physiological pH of native cartilage is demonstrated. This pH modulation does not compromise hydrogel functionality, as encapsulated equine articular cartilage progenitor cell spheroids remain viable and functional for a culture period of 28 days. The hydrogel environment supports the deposition of cartilaginous extracellular matrix components, including collagens and sulphated glycosaminoglycans. Enhanced chondrogenesis and deposition of collagen type II are observed at higher spheroid concentrations, corresponding to inter‐spheroid distances of 100–150 µm following hydrogel swelling, compared to lower concentrations at a distance of >500 µm. To further improve construct robustness, the hydrogel constructs can be reinforced on day 1 with a melt electrowritten scaffold, increasing the compressive modulus 100‐fold by day 28 compared to non‐reinforced constructs, highlighting the potential of this system for engineering cartilage implants.

Background Corticosteroid injections (CSIs) are widely employed in facet and sacroiliac joint pain. Similar to CSIs at other sites (peripheral nerve blocks, joints, epidural), these injections are associated with potential adverse events. These multisociety consensus recommendations aim to develop evidence-based statements and recommendations on the safe use of CSIs in facet joint and sacroiliac joint injections. Methods Development of the consensus recommendations was approved by the American Society of Regional Anesthesia and Pain Medicine Board of Directors and several other societies that agreed to participate. The scope of statements and recommendations was agreed on to include safety of the injection technique (landmark-guided, ultrasound, or radiology-aided injections); effect of the addition of the corticosteroid on effectiveness (vs local anesthetic or saline); and adverse events related to the injection. Experts were assigned topics to perform a comprehensive literature review and draft statements and recommendations, which were refined and voted for consensus (>75% agreement) using a modified Delphi process. A modified version of the US Preventive Services Task Force grading of evidence and strength of recommendation was followed. Results All statements and recommendations were approved by all participants after four rounds of discussion. The Practice Guidelines Committees and Boards of Directors of the participating societies also approved all statements and recommendations. Injection of corticosteroid into the facet joint in patients with joint inflammation may relieve pain and improves function. Intra-articular, extra-articular (periarticular), and combined administration are effective for sacroiliac joint injections. No dose-response studies exist, but CSIs containing 10 mg of methylprednisolone or triamcinolone per facet joint and 40 mg per sacroiliac joint (SIJ) (or their respective pharmacologic equivalents) are reasonable. Conclusions In this practice recommendation, we provide statements and recommendations on facet and sacroiliac joint CSIs, the optimal doses, and intervals and criteria for repeating the CSIs in patients with facet joint and sacroiliac joint pain.

Abstract Background: Pathogenic variants (PVs) in PALB2 are known to confer high-to-moderate risk for breast cancer. However, breast cancer risk estimates for PALB2 PVs for different populations are not well defined and associations with other cancers are still unclear. Using data from a large clinical genetic testing cohort we have established cancer-specific risks associated with PALB2 PVs. Methods: We analyzed the associations of PALB2 PVs with breast, ovarian, prostate, and pancreatic cancers in individuals tested at Ambry Genetics. Cancer-specific odds ratios (ORs) and 95% confidence intervals (CI) were estimated by comparing PV carrier frequencies in cancer cases to population controls from AllofUs matched by sex and adjusting for age and genetic ancestry and gnomAD v4.1 matched by sex and adjusting for ancestry. Two-sided p-values are reported. Results: Of 1,119,667 individuals tested, 357,109 had breast cancer, 37,468 ovarian cancer, 22,112 pancreatic cancer and 32,738 prostate cancer. PALB2 PVs were observed in 0.79% of breast cancer cases, 0.30% of ovarian cancer cases, 0.78% of pancreatic cancer cases, and 0.47% of prostate cancer cases, with mean age at diagnosis of 54.2 years for breast, 60.1 years for ovarian, 62.8 years for pancreatic and 66.7 years for prostate. Whereas only 2.4% of breast cancer cases with PVs had a personal history of ovarian or pancreatic, 13.4% of ovarian cases and 33.3% of pancreatic cases had a history of breast cancer. Analysis of PV types found that frameshift PVs accounted for 50% of PVs, nonsense for 30%, canonical splice sites for 5% and copy number variants for 8-9% of cases in all cancer types. Among 10,077 individuals with multiple primary cancers, PALB2 PVs were detected in 0.65% of cases, with the highest frequencies observed in combinations of breast and pancreatic cancer (1.87%) and pancreatic and prostate cancer (0.79%). To refine estimates of risks for breast cancer, association studies were performed separately with GnomAD v4.1 and AllofUs controls. PALB2 PVs were consistently associated with high risks of breast cancer with lower 95%CI above 4 (GnomADv.4.1 OR=6.85, 95%CI=5.94-7.96, p=3.05x10-145; AllofUs OR=5.65, 95%CI=4.83-6.65, p=2.54x10-155). This was significantly different and increased over breast cancer risk estimates from the CARRIERS and BRIDGES population-based studies (OR=4.67, 95%CI=3.73-5.85, p=3.95x10-27) and the UK Biobank population-based study (OR=3.87, 95%CI=3.09-4.83, p=4.62x10-27). Similarly, high risks of pancreatic cancer were confirmed (GnomADv.4.1 OR=5.14, 95%CI=4.15-6.32, p=3.38x10-52; AllofUs OR=5.59, 95%CI=3.92-7.85, p=2.78x10-18). Importantly, associations between PALB2 PVs and moderate risks of both ovarian cancer (GnomADv.4.1 OR=2.68, 95%CI=2.11-3.40, p=5.94x10-16; AllofUs OR=2.15, 95%CI=1.62-2.85, p=2.97x10-7) and prostate cancer (enriched for aggressive disease) (GnomADv.4.1 OR=2.45, 95%CI=2.01-2.97, p=1.52x10-19) were observed. Conclusions: This large-scale study provides robust estimates of PALB2 PV prevalence and associated cancer risks in a U.S. clinical genetic testing population. The findings provide refined risk estimates for breast and pancreatic cancers but also establish that PALB2 PVs confer increased risk for ovarian and prostate cancers. These results help clarify ongoing uncertainty, particularly for ovarian and prostate cancer, and highlight the importance of PALB2 in broader hereditary cancer risk assessment and multigene panel testing. Citation Format: Y. Y. Tan, C. Hu, H. Huang, N. J. Boddicker, W. Chen, M. Kaul, T. J. Rao, A. N. Monteiro, T. Pesaran, R. Karam, S. M. Domchek, S. Yadav, M. E. Richardson, F. J. Couch. Cancer-specific risks associated with germline PALB2 pathogenic variants from a large clinical genetic testing cohort [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF5-01.

Abstract Background: While there are abundant data on the surgical management of BC after neoadjuvant chemotherapy (NAC), there is less guidance regarding surgical management of BC after NET, particularly with respect to lymph node (LN) surgery. While pathologic complete response (pCR) is common with NAC, it is a rare event with NET. In this analysis we assess the surgeons’ approach in the context of NET. Methods: The ALTERNATE trial is a phase III study that randomized postmenopausal patients (pts) with clinical stage II/III ER+ HER2- BC to receive neoadjuvant anastrozole (A), fulvestrant (F), or both for 6 mos. before surgery. The primary objective was to determine if neoadjuvant F or A+F increases the rate of pCR or ypT1-2N0/N1mic/Ki67 <2.7% residual disease over A alone. Breast surgery was per standard of care. Sentinel lymph node biopsy (SLNB) with or without axillary lymph node dissection (ALND) was required to determine preoperative endocrine prognostic index PEPI score and residual cancer burden (RCB). Surgeons were required to indicate if the patient would be eligible for breast- conserving surgery (BCS) prior to NET. Patient accrual occurred from 2014-2018. The surgical outcomes are reported for the entire group. Results: Among the 3 treatment arms, 933 patients completed 6 cycles of NET. The clinical T stage at diagnosis was 73.6% T2, 22.6% T3and 3.8% T4. Initial tumor size was assessed by mammogram and ultrasound. Primary tumor histology was ductal in 64.8% and lobular in 25.4%.568 pts (60.9%) were clinically node negative (cN0), 36.2% cN1, 2.6% cN2 with 0.3% cN3. LNs were palpable in 25.2%. 383 had LN needle biopsy pre NET, of which 80.9% were positive. The surgeons’ initial impression of the patient’s eligibility for BCS was 74% while 0.6% were considered inoperable.75.5% of pts had post-NET imaging performed. Of those with tumor size recorded, 52.9% were T1 or not visible. Overall, 69.9% of the 933 patients had BCS. Of those 330 pts without post-NET imaging or who had post-NET imaging without a size noted, 64.8% underwent BCS. For pts undergoing BCS, 80.2% required only one surgery for margin clearance. Of the 690 pts deemed eligible for BCS pre NET, 79% had BCS. Of the 240 pts deemed ineligible for BCS pre-NET, 43.8% had BCS. Of the pre-NET cT2 tumors, 79% had BCS while only 45.5% of T3 tumors and 37.1% of T4 tumors had BCS. On surgical pathology, 474 (50.8%) pts were LN+ compared to pre-NET cN+ 39.1% and needle biopsy-proven 33.2%. For pts with pN0, 93.3% had SLNB alone. 6.7 % of pN0 had ALND alone or SLNB+ALND. For those with pN1-3 , 36.3% had SLN only; 37.3% SLN+ ALND; 26.4% ALND alone. Only 0.8% of the patients had no ALND or SLNB performed. Pts undergoing BCS were more likely to have SLNB alone for a +SLN compared to mastectomy pts (62.9% vs. 37.6%; chi-square p<0.0001). For pts with pre-NET +LN on needle biopsy, only 26.8% underwent SLNB alone, while 37.4% underwent ALND alone. Of the 204 LN-positive pts having SLNB alone, 55.9% had only 1 + LN and 27% had only 2+ LNs. For pN+ pts who underwent SLNB +ALND, 42.1% had 1-2 + LNs. Conclusion: With NET, 69.9% of pts achieved BCS, including 43.8% deemed ineligible pre-NET. Given the low rate of pCR to NET, there should not be the expectation of pCR in +LNs. Based on the procedures performed in pts with +SLNs, it appears that surgeons were applying ACOSOG Z0011 criteria for pts having BCS, but were less likely to omit ALND for +LN in pts having mastectomy. The finding of only 1-2 +LNs in many of the LN+ pts suggests that omission of ALND may be a reasonable approach post-NET. Longer follow-up is required to assess local-regional recurrence. Support: U10CA180821, U10CA180882; https://acknowledgments.alliancefound.org. Clinical Trials.gov Identifier: NCT01953588 Citation Format: A. M. Leitch, T. Dockter, V. suman, A. Weiss, G. W. Unzeitig, J. Guenther, S. Sanati, K. Vij, J. Hoog, A. Caudle, A. Tiersten, M. Mita, W. Razaq, T. J. Hieken, Y. Wang, M. Rimawi, M. J. Ellis, E. Winer, K. K. Hunt, A. H. Partridge, L. A. Carey. Surgical outcomes in the ALTERNATE trial (Alliance A011106) -a randomized phase 3 neoadjuvant endocrine therapy (NET) trial in postmenopausal women with clinical stage II/III estrogen receptor positive (ER+) and HER2 negative (HER2-) breast cancer (BC) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF1-02.