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This guideline has been updated. This ASCO Living Guideline is reviewed on an eight-week cycle. Please see the online dynamic version for the latest updates. Living guidelines are developed for selected topic areas with rapidly evolving evidence that drives frequent change in recommended clinical practice. Living guidelines are updated on a regular schedule by a standing expert panel that systematically reviews the health literature on a continuous basis, as described in the ASCO Guidelines Methodology Manual . ASCO Living Guidelines follow the ASCO Conflict of Interest Policy Implementation for Clinical Practice Guidelines . Living Guidelines and updates are not intended to substitute for independent professional judgment of the treating clinician and do not account for individual variation among patients. See appendix for disclaimers and other important information (Appendix I and Appendix II). Updates are published regularly and can be found on the ASCO Publications website .

Objective Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective noncardiac surgery. Methods We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including adults (aged ≥18 years) with elective hospitalizations with noncardiac surgery. Frailty was measured using the Hospital Frailty Risk Score (HFRS). Surgeries were categorized by risk level. Outcomes included discharge health resources need (DHRN), composite adverse clinical events (CACE), and death. Results Among 8,800,359 hospitalizations (2.14% among patients with RA), 73.36% underwent intermediate‐risk surgery and 62.25% had HFRS above 0. DHRN occurred in 28.9%, CACE occurred in 0.93%, and all‐cause mortality occurred in 0.17%. A 10‐point increase in HFRS was associated with a 3.8‐fold increased DHRN, 8.5‐fold increased CACE, and 22.8‐fold increased mortality. RA was not independently associated with CACE (adjusted odds ratio [aOR] 0.91; 95% confidence interval [CI] 0.82–1.01; P = 0.08) or death (aOR 0.90; 95% CI 0.71–1.15; P = 0.41) but was significantly associated with DHRN (aOR 1.28, 95% CI 1.25–1.31; P < 0.001) after adjusting for confounders and frailty. In sensitivity analysis, RA had 10% higher relative odds of DHRN following orthopedic (aOR 1.10; 95% CI 1.07–1.13; P < 0.001) but not nonorthopedic intermediate‐risk surgery (aOR 1.10; 95% CI 0.98–1.23; P = 0.11). Conclusion RA was associated with higher odds of DHRN after orthopedic intermediate‐risk surgery but not CACE or inpatient mortality. Moreover, HFRS was associated with DHRN, CACE, and death. These findings underscore the need for disease‐specific clinical considerations and highlight the potential utility of HFRS in discharge planning.

ABSTRACT Background Prior studies in the pre‐MRI era suggest that patients with NCCN Intermediate and High Risk Grade Group 1 prostate cancer (GG1 PCa) on biopsy have increased risk for adverse oncologic outcomes. However, prostate MRI has altered patient selection for biopsy and improved prostate sampling. Herein, we examined factors associated with adverse pathologic features (APF) at radical prostatectomy (RP) and biochemical recurrence (BCR) among patients with GG1 in the MRI era. Methods A prospectively maintained institutional prostate cancer registry identified patients with GG1 PCa on biopsy who underwent RP from 2000 to 2023, stratified by MRI use. Multivariable logistic regression and Cox regression identified factors associated with APF at RP (GG3‐5, ≥ pT3a, or pN1) and BCR free survival (two consecutive PSA ≥ 0.2 ng/mL), respectively. Results Among patients without MRI ( n = 6732), NCCN risk group was associated with APF, BCR, and distant metastasis. Among 302 patients with GG1 and pre‐operative MRI, NCCN risk group was associated with neither APF nor BCR. Age (OR 1.07, 95% CI 1.01–1.14, p = 0.01), PIRADS ( p = 0.01), and % core positivity (OR 1.02, 95% CI 1.00–1.03, p = 0.04) were associated with APF. Age (HR 1.07, 95% CI 1.01–1.13, p = 0.03), APF (HR 4.36, 95% CI 2.14–8.86, p < 0.001), and positive margins (HR 4.88, 95% CI 2.39–9.98, p < 0.001) were associated with BCR. Conclusions Prior to prostate MRI, NCCN risk groups offered meaningful prognostication among patients with GG1 PCa. However, the utility of NCCN risk groups for GG1 in the MRI era appears limited. Contemporary risk stratification for GG1 should focus on biopsy and MRI characteristics rather than NCCN criteria.

ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction. In this manuscript, we propose more standardization in the study of OPMD across sites and propose a framework aligned to the principles of the NCI's Human Tissue Atlas Network (HTAN). We explore whole exome sequencing for genomic risk, methylation array for environmental genetic regulation, RNA sequencing for transcriptional control of cellular programs with spatial transcriptomics to fulfill the spatial requirements of HTAN. Moreover, we propose a machine learning (ML) analysis whereby a learned image‐molecular association is created by integrating H&E histology and sequencing results. Once these associations are learned, a “Teacher‐Student” model can be created whereby the Student model can be deployed to infer the “molecular associations” from H&E and patient covariates alone. Such a framework integrating multiomic data across multiple different biologic processes and time points can help to better understand and potentially even predict the biologic events that underlie oral cancer initiation.

Imaging biomarkers complement traditional risk assessment by enabling direct patient-specific detection and characterization of subclinical atherosclerotic cardiovascular disease, which supports earlier diagnosis, improved risk stratification, and more personalized cardiovascular prevention.

Single-cell studies have defined immune states in inflammatory bowel disease (IBD), but how adaptive receptor histories organize circulating immunity remains unclear. We generated a single-cell transcriptomic atlas of peripheral blood from 249 participants with Crohn's disease, ulcerative colitis, or non-IBD control status, including 182 with productive TCR and BCR recovery. Expanded TCR clonotypes marked inflammatory-memory and cytotoxic states, while distinct but similar paired TCRs shared inflammatory programs across participants. BCR lineage maturation linked IgA-associated mucosal and plasma B cell programs to somatic mutation and class switching, distinguishing maturation-associated biology from clonal expansion. Helper, regulatory, and cytotoxic T-cell programs covaried with B-cell states, and inferred interactions nominated reciprocal antigen-presentation and helper pathways. Repertoire-based machine learning distinguished diagnosis, inflammation, and contemporaneous six-month treatment-response status. Together, this atlas connects receptor architecture to coordinated systemic immune remodeling, establishes a foundation for repertoire-informed patient stratification, and prioritizes candidate mechanisms of IBD pathogenesis.

Objective: The aim of this study was to evaluate outcomes of fenestrated-branched endovascular aortic repair (FB-EVAR) of thoracoabdominal aortic aneurysms (TAAAs) and complex abdominal aortic aneurysms (CAAAs) in patients actively smoking at the time of repair compared with previous smokers and non-smokers. Methods: Single-center retrospective review of elective FB-EVARs for TAAA and CAAAs between 2007 and 2023 was conducted. Demographics, comorbidities, aneurysm extent/ morphology, technical details, and peri-operative outcomes were collected. Patients were grouped into 1 of 3 groups: active smokers, prior smokers, and never smokers. Patients who stopped smoking within 6 weeks to surgery were considered active smokers. Rupture and symptomatic aneurysms were excluded. Endpoints included early (<30 days) mortality and major adverse events (MAEs). Results: There were 676 patients (73% male, mean age 74 ± 7.8). There were 141 (21%) active smokers, 455 (67%) prior smokers, and 80 (12%) never smokers. Active smokers were significantly younger than prior or never smokers (71 ± 6.7, 75 ± 6.9, and 76 ± 12, respectively; P < .001). Cardiovascular risk factors were similar, except active smokers were significantly more likely to have chronic obstructive pulmonary disease (60% vs 42% vs 6.2%, P < .001) and peripheral arterial disease (31% vs 24% vs 10%, P = .002) when compared to prior and never smokers, respectively. Patients who never smoked had significantly more extent II aneurysms (34%) than prior (18%) and active (15%) smokers, P = .001. Univariable and multivariable logistic regression analyses showed no statistically significant associations between smoking status and any specific peri-operative adverse events following surgery. Conclusion: Active smoking status does not appear to affect peri-operative outcomes after FB-EVAR for complex aortic aneurysms. Although smoking cessation must be strongly encouraged, repair should not be delayed due to active smoking status. Clinical Impact These data suggest that active smoking, in isolation, should not be considered a contraindication to elective FB-EVAR when anatomy is suitable and patients are otherswise optimized. This is particularly relevant for high-risk patients who may have limited alternative treatment options. Proceeding with FB-EVAR in active smokers does not appear to compromise early safety or procedural efficacy.

Purpose To evaluate the association between myocardial infarction (MI) timing within 2 years prior to arthroscopic rotator cuff repair (aRCR) and postoperative cardiac, medical, and surgical complications. Methods The PearlDiver Mariner Database (2010‐2022) was queried to identify patients undergoing aRCR (CPT‐29827). Patients with an MI within 2 years before surgery were propensity matched 1:4 to controls without MI based on demographics and comorbidities. Subgroup analyses evaluated MI timing (0‐6, 6‐12, 12‐18, and 18‐24 months), MI type (type 1 vs type 2, ST‐elevation MI vs non‐ST‐elevation MI), percutaneous coronary intervention (PCI) status, guideline‐directed medical therapy, and infarct location. Primary outcomes included 90‐day medical and 2‐year surgical complications. Odds ratios with 95% confidence intervals were calculated. Results A total of 2886 patients with prior MI were matched to 10,613 controls. Prior MI increased the odds of postoperative MI (odds ratio, 3.48; 95% confidence interval, 2.13, 8.32). The highest risk of postoperative MI occurred when aRCR was performed within 6 months of MI (odds ratio, 7.55; 95% confidence interval, 4.38, 13.01), with no significant elevation beyond this window. Type 1 MI was associated with postoperative MI and mortality, whereas type 2 MI was associated with acute kidney injury, pneumonia, and readmission. Both ST‐elevation MI and non‐ST‐elevation MI were linked to increased postoperative MI risk. Patients without PCI showed broader postoperative complications, including mortality, acute kidney injury, and stiffness, compared with those who underwent PCI. Conclusions Recent MI is associated with increased postoperative risk of MI after aRCR, particularly when surgery is performed within 6 months. Patients without PCI experience additional vulnerability. Level of Evidence Level III, retrospective comparative study.