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Neoadjuvant Treatment With Trastuzumab and FOLFOX Induces a Complete Pathologic Response in a Metastatic ERBB2 (HER2)-Amplified Duodenal Cancer

Ahmad Hamad, Aatur D. Singhi, Nathan Bahary, Kevin McGrath, Rula Amarin, Herbert J. Zeh, and Amer H. Zureikat

Overexpression of HER2 protein and amplification of the ERBB2 gene has been observed in various adenocarcinomas, providing a therapeutic target that can be used to extend the survival of a select cohort of patients. Anti-HER2 therapy has been successfully applied to gastric and colorectal cancers, but its use and potential benefit in small intestinal carcinomas is not well characterized. We applied anti-HER2 therapy to an ERBB2-amplified advanced duodenal adenocarcinoma, adding trastuzumab to FOLFOX in the neoadjuvant setting. A 61-year-old woman with an advanced duodenal cancer harboring an ERBB2 amplification received preoperative trastuzumab and FOLFOX. Restaging revealed significant tumor downstaging with no metastasis. After multidisciplinary assessment, she underwent pancreaticoduodenectomy. Final pathologic analysis revealed no residual invasive adenocarcinoma, consistent with a complete neoadjuvant treatment response. This case report emphasizes the need for further molecular characterization of small bowel cancers; genetic alterations may provide therapeutic targets to improve the prognosis of these rare and aggressive malignancies.

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Sociodemographic Disparities in the Receipt of Adjuvant Chemotherapy Among Patients With Resected Stage I–III Pancreatic Adenocarcinoma

Nina N. Sanford, Todd A. Aguilera, Michael R. Folkert, Chul Ahn, Brandon A. Mahal, Herbert Zeh, Muhammad S. Beg, John Mansour, and David J. Sher

Background: Adjuvant therapy for resected pancreatic adenocarcinoma was given a category 1 NCCN recommendation in 2000, yet many patients do not receive chemotherapy after definitive surgery. Whether sociodemographic disparities exist for receipt of adjuvant chemotherapy is poorly understood. Methods: The National Cancer Database was used to identify patients diagnosed with nonmetastatic pancreatic adenocarcinoma who underwent definitive surgery from 2004 through 2015. Multivariable logistic regression defined the adjusted odds ratio (aOR) and associated 95% CI of receipt of adjuvant chemotherapy. Among patients receiving chemotherapy, multivariable logistic regression assessed the odds of treatment with multiagent chemotherapy. Results: Among 18,463 patients, 11,288 (61.1%) received any adjuvant chemotherapy. Sociodemographic factors inversely associated with receipt of any adjuvant chemotherapy included uninsured status (aOR, 0.61; 95% CI, 0.50–0.74), Medicaid insurance (aOR, 0.66; 95% CI, 0.57–0.77), and lower income (P<.001 for all income levels compared with ≥$46,000). Black race (aOR, 0.72; 95% CI, 0.57–0.90) and female sex (aOR, 0.75; 95% CI, 0.65–0.86) were associated with lower odds of receiving multiagent chemotherapy. There was a statistically significant interaction term between black race and age/comorbidity status (P=.03), such that 26.4% of black versus 35.8% of nonblack young (aged ≤65 years) and healthy (Charlson-Deyo comorbidity score 0) patients received multiagent adjuvant chemotherapy (P=.006), whereas multiagent adjuvant chemotherapy rates were similar among patients who were not young and healthy (P=.15). Conclusions: In this nationally representative study, receipt of adjuvant chemotherapy appeared to be associated with sociodemographic characteristics, independent of clinical factors. Sociodemographic differences in receipt of adjuvant chemotherapy may represent a missed opportunity for improving outcomes and a driver of oncologic disparities.

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Enhancing Readability of Online Patient-Facing Content: The Role of AI Chatbots in Improving Cancer Information Accessibility

Andres A. Abreu, Gilbert Z. Murimwa, Emile Farah, James W. Stewart II, Lucia Zhang, Jonathan Rodriguez, John Sweetenham, Herbert J. Zeh III, Sam C. Wang, and Patricio M. Polanco

Background: Internet-based health education is increasingly vital in patient care. However, the readability of online information often exceeds the average reading level of the US population, limiting accessibility and comprehension. This study investigates the use of chatbot artificial intelligence to improve the readability of cancer-related patient-facing content. Methods: We used ChatGPT 4.0 to rewrite content about breast, colon, lung, prostate, and pancreas cancer across 34 websites associated with NCCN Member Institutions. Readability was analyzed using Fry Readability Score, Flesch-Kincaid Grade Level, Gunning Fog Index, and Simple Measure of Gobbledygook. The primary outcome was the mean readability score for the original and artificial intelligence (AI)–generated content. As secondary outcomes, we assessed the accuracy, similarity, and quality using F1 scores, cosine similarity scores, and section 2 of the DISCERN instrument, respectively. Results: The mean readability level across the 34 websites was equivalent to a university freshman level (grade 13±1.5). However, after ChatGPT’s intervention, the AI-generated outputs had a mean readability score equivalent to a high school freshman education level (grade 9±0.8). The overall F1 score for the rewritten content was 0.87, the precision score was 0.934, and the recall score was 0.814. Compared with their original counterparts, the AI-rewritten content had a cosine similarity score of 0.915 (95% CI, 0.908–0.922). The improved readability was attributed to simpler words and shorter sentences. The mean DISCERN score of the random sample of AI-generated content was equivalent to “good” (28.5±5), with no significant differences compared with their original counterparts. Conclusions: Our study demonstrates the potential of AI chatbots to improve the readability of patient-facing content while maintaining content quality. The decrease in requisite literacy after AI revision emphasizes the potential of this technology to reduce health care disparities caused by a mismatch between educational resources available to a patient and their health literacy.

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Identification of Targetable ALK Rearrangements in Pancreatic Ductal Adenocarcinoma

Aatur D. Singhi, Siraj M. Ali, Jill Lacy, Andrew Hendifar, Khanh Nguyen, Jamie Koo, Jon H. Chung, Joel Greenbowe, Jeffrey S. Ross, Marina N. Nikiforova, Herbert J. Zeh, Inderpal S. Sarkaria, Anil Dasyam, and Nathan Bahary

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers, with a 5-year survival of 8%. Current therapeutic regimens are largely ineffective and underscore the need for novel treatment strategies. Chromosomal rearrangements involving the anaplastic lymphoma kinase (ALK) gene have been identified in several neoplasms. In addition, ALK protein inhibitors have proven efficacy in patients with ALK-rearranged tumors. However, ALK translocations in PDAC have not been described. Through comprehensive genomic profiling of 3,170 PDACs, we identified 5 cases (0.16%) that harbored an ALK fusion gene: an exon 6 EML4–exon 20 ALK translocation (n=3), an exon 13 EML4–exon 20 ALK translocation (n=1), and an exon 3 STRN–exon 20 ALK translocation (n=1). Among the most prevalent PDAC-related genes, activating KRAS mutations were absent in all 5 cases, who were <50 years of age. Among patients aged <50 years in our study cohort, ALK translocations constituted 1.3% of PDACs. Four of 5 patients were treated with an ALK inhibitor, and 3 of these patients demonstrated stable disease, radiographic response, and/or normalization of serum CA 19-9. Although rare, ALK fusions occur in PDAC, and screening for ALK rearrangements should be considered in young patients with PDAC.