{"doi":"10.1159/000527992","title":"The Impact of Poorly Differentiated Histology on Immunotherapy in Advanced Gastrointestinal Cancers","abstract":"INTRODUCTION: Checkpoint inhibitors (CPI) have significantly improved survival among patients with various cancer types. Prior studies have shown a correlation between immune cell infiltration and poorly differentiated cancers. This study evaluated the impact of poorly differentiated histology on survival in patients with advanced gastrointestinal cancers treated with immunotherapy. METHODS: This study was a retrospective, single-center analysis of patients with gastrointestinal cancers treated with CPIs between 2016 and 2021. Univariate and multivariable analyses were performed to identify factors associated with patient outcome. Kaplan-Meier analysis and Cox proportional hazards models were used to assess the association between tumor and patient characteristics, progression-free survival, and overall survival. RESULTS: A total of 123 patients were eligible and included in the analysis. Median age was 66 years (23-88 years). Majority had stage IV disease (89%), were white (65.5%), and were male (64.5%). Most common diagnoses were hepatocellular carcinoma (30.5%), gastric adenocarcinoma (16.5%), esophageal adenocarcinoma (17%), and colorectal cancer (19.8%). About 32% of the tumors were microsatellite instability-high (MSI-High/dMMR), with BRAF V600E mutation rate of 10%. About 25% of the patients received CPIs as initial treatment, while 35.5% had received two or more prior lines of therapy. Compared with well and moderately differentiated histology, patients with poorly differentiated tumors had a shorter median overall survival (mOS) (not reached [NR] vs. NR vs. 9.3 months, p = 0.0264). There was no statistically significant difference in median progression-free survival (mPFS) between histology types (2.5 vs. 4.2 vs. 2 months, p = 0.1314). On univariate survival analysis, moderately differentiated tumors correlated with a significantly longer mOS (HR: 0.48, CI: 0.24-0.93, p = 0.030) and mPFS (HR: 0.62, 95% CI: 0.38-1.00, p = 0.048) compared to poorly differentiated histology. Female patients (HR: 0.55, 95% CI: 0.34-0.90, p = 0.018) and the Eastern Cooperative Oncology Group (ECOG) of 1 (vs. ≥2) had significantly longer mPFS (HR: 0.58, 95% CI: 0.35-0.97, p = 0.036). ECOG of 1 also correlated with longer mOS (HR: 0.47, 95% CI: 0.23-0.94, p = 0.034). Microsatellite stable (MSS) tumors had significantly shorter mPFS (HR: 5.74, 95% CI: 2.41-13.63, p < 0.001) and mOS (HR: 5.45, 95% CI: 1.64-18.12, p = 0.006). The number of prior systemic therapies was also associated with shorter mPFS (HR: 1.19, 95% CI: 1.03-1.39, p = 0.022) and mOS (HR: 1.23, 95% CI: 1.01-1.50, p = 0.045). On multivariable analyses, ECOG status of 0/1 versus ≥2 and MSI-High/dMMR versus MSS remained significantly associated with longer mPFS and mOS. There was no correlation with histologic differentiation status, race, or mutations such as BRAF V600E or KRAS. CONCLUSION: Results from this study demonstrate that poorly differentiated histology was associated with shorter mOS but was not associated with improved PFS in patients treated with CPI. Treatment-naïve patients, moderately differentiated tumors, female gender, ECOG 1, and MSI-High/dMMR were most likely to benefit from CPI.","journal":"Oncology","year":2023,"id":385848,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9456,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1077549,"name":"Emily H. Jung","orcid":"0000-0001-8496-7806","position":1,"is_corresponding":false},{"id":941124,"name":"Yichun Cao","orcid":"0009-0004-6001-855X","position":2,"is_corresponding":false},{"id":1154227,"name":"Rami Atallah","orcid":null,"position":3,"is_corresponding":false},{"id":305854,"name":"Jeffrey M. Switchenko","orcid":"0000-0002-5563-9325","position":4,"is_corresponding":false},{"id":1153837,"name":"Sujata Kane","orcid":"0000-0001-8224-8197","position":5,"is_corresponding":false},{"id":1154228,"name":"Jessica Guadagno","orcid":null,"position":6,"is_corresponding":false},{"id":1154229,"name":"Aaron T. Jones","orcid":null,"position":7,"is_corresponding":false},{"id":1154230,"name":"Edith Brutcher","orcid":null,"position":8,"is_corresponding":false},{"id":429972,"name":"Olatunji B. Alese","orcid":"0000-0001-8079-4725","position":9,"is_corresponding":false},{"id":665297,"name":"Amber Draper","orcid":"0000-0001-7172-205X","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:17:52.636565Z","pmid":"36626879","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}