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Background: Mutations in STK11 (STK11(Mut)) and, frequently co-occurring, KEAP1 mutations (KEAP1(Mut)) are associated with poor survival in metastatic Non-small Cell Lung Cancer (mNSCLC) patients treated with immunotherapy. However, there are limited data regarding the prognostic or predictive significance of these genomic alterations among Hispanics. Methods: This retrospective study analyzed a cohort of Hispanic patients (N = 103) diagnosed with mNSCLC from the US and seven Latin American countries (LATAM) treated with immune checkpoint inhibitors (ICI) alone or in combination as first-line (Cohort A). All cases were treated in routine care between January 2016 and December 2021. The main objectives were to determine the association of mutations in STK11 or KEAP1 in these patients' tumors with overall (OS) and progression-free survival (PFS), presence of KRAS mutations, tumor mutational burden (TMB), and other relevant clinical variables. To compare outcomes with a STK11(Wt)/KEAP1(Wt) population, historical data from a cohort of Hispanic patients (N = 101) treated with first-line ICI was used, matching both groups by country of origin, gender, and Programed Death-ligand 1 (PD-L1) expression level (Cohort B). Results: Most tumors had mutations only in STK11 or KEAP1 (45.6%) without KRAS co-mutation or any other genomic alteration. Besides, 35%, 8.7%, 6.8%, and 3.9% were KRAS(Mut) + STK11(Mut), KRAS(Mut) + STK11(Mut) + KEAP1(Mut), STK11(Mut) + KEAP1(Mut), and KRAS(Mut) + KEAP1(Mut), respectively. Based on KRAS status, STK11 alterations were associated with significantly lower PD-L1 expression among those with KRAS(Wt) (p = 0.023), whereas KEAP1 mutations were predominantly associated with lower PD-L1 expression among KRAS(Mut) cases (p = 0.047). Tumors with KRAS(Mut) + KEAP1(Mut) had significantly higher median TMB when compared to other tumors (p = 0.040). For Cohort A, median PFS was 4.9 months (95%CI 4.3-5.4), slightly longer in those with KEAP1(mut) 6.1 months versus STK11(Mut) 4.7 months (p = 0.38). In the same cohort, PD-L1 expression and TMB did not influence PFS. OS was significantly longer among patients with tumors with PD-L1 >= 50% (30.9 months), and different from those with PD-L1 1-49% (22.0 months), and PD-L1 < 1% (12.0 months) (p = 0.0001). When we compared the cohorts A and B, OS was significantly shorter for patients carrying STK1 [STK11(Mut) 14.2 months versus STK11(Wt) 27.0 months (p = 0.0001)] or KEAP1 [KEAP1(Mut) 12.0 months versus KEAP1(Wt) 24.4 months (p = 0.005)] mutations. PD-L1 expression significantly affected OS independently of the presence of mutations in STK11, KEAP1, or KRAS. TMB-H favored better OS. Conclusions: This is the first large Hispanic cohort to study the impact of STK11 and KEAP1 mutations in NSCLC patient treated with ICI. Our data suggest that mutations in the above-mentioned genes are associated with PD-L1 expression levels and poor OS.

A new coronavirus, named severe acute respiratory syndrome-coronavirus-2 by the WHO, has rapidly spread around the world since its first reported case in late December of 2019 from Wuhan, the People's Republic of China. As of mid-April 2020, this virus has affected more than 180 countries and territories, infecting more than 1,650,000 individuals and causing over 100,000 deaths. With approximately 20 million new cases globally per year, cancer affects a substantial portion of the population. Individuals affected by cancer are more susceptible to infections owing to coexisting chronic diseases (cardiovascular, pulmonary, and diabetes), overall poor health status, and systemic immunosuppressive states caused by both cancer and the anticancer treatment. As a consequence, patients with malignancies, especially those with lung cancer who develop coronavirus disease 2019, experience more difficult outcomes. A recent multicenter study carried out by the Hubei Anti-Cancer Association has also documented that patients with lung cancer had an increased risk of death, intensive care unit requirement, risk of presenting severe or critical symptoms, and use of invasive mechanical ventilation. Here, we present two representative cases of patients with lung cancer and coronavirus disease 2019 without respiratory compromise and with atypical and severe skin manifestations-findings that could be influenced by the long-term use of anti-programmed cell death protein 1 antibody.

In an attempt to provide quantitative, reproducible, and standardized analyses in cases of eosinophilic esophagitis (EoE), we have developed an artificial intelligence (AI) digital pathology model for the evaluation of histologic features in the EoE/esophageal eosinophilia spectrum. Here, we describe the development and technical validation of this novel AI tool.A total of 10 726 objects and 56.2 mmThe performance of the AI model for all cell type features was similar/non-inferior to that of our group of GI pathologists (F1-scores: 94.5-94.8 for AI vs human and 92.6-96.0 for human vs human). Segmentation area features were rated for accuracy using the following scale: 1. "perfect or nearly perfect" (95%-100%, no significant errors), 2. "very good" (80%-95%, only minor errors), 3. "good" (70%-80%, significant errors but still captures the feature well), 4. "insufficient" (less than 70%, significant errors compromising feature recognition). Rating scores for tissue (1.01), spongiosis (1.15), basal layer (1.05), surface layer (1.04), lamina propria (1.15), and collagen (1.11) were in the "very good" to "perfect or nearly perfect" range, while degranulation (2.23) was rated between "good" and "very good".Our newly developed AI-based tool showed an excellent performance (non-inferior to a group of experienced GI pathologists) for the recognition of various histologic features in the EoE/esophageal mucosal eosinophilia spectrum. This tool represents an important step in creating an accurate and reproducible method for semi-automated quantitative analysis to be used in the evaluation of esophageal biopsies in this clinical context.

Here we report a case of a young, never-smoker Hispanic woman with a hereditary familial overlap syndrome (Li-Fraumeni plus CDH1). The patient developed multiple synchronous primary lung adenocarcinomas related to Intra-Alveolar Tumor Spread (STAS) several years after the diagnosis of a locally advanced lower limb osteosarcoma. Comprehensive genomic profiling by next generation sequencing (NGS) was performed on 90 cancer-related genes over each lung lesion (including two nodules of acinar adenocarcinoma, one lepidic spread tumor and in the STAS area). Likewise, the broad genomic analysis was performed on archival tissue from the previous bone tumor. Lung tumors were found to harbor PIK3CA (invasive lesions) and a rare in-frame insertion of nucleotides in exon 19 of EGFR (lepidic tumor). STAS area showed KRAS and BRAF mutations in two different segments, and osteosarcoma tested positive for well known PIK3CA, KRAS and CDH1 alterations. This unique case raises practical questions as to the challenges of molecular testing and highlights the potential association of germline TP53 and CDH1 mutations with concurrent somatic alterations that elucidate the basis of tumor heterogeneity.

Background: Cancer is a global problem. Estimates for 2018 expect around 18.1 million new cases and 9.6 related deaths worldwide. Interestingly, there is significant geographical variation in cancer research that has an inverse correlation with cancer-specific mortality. In Latin America (LATAM), the percentage of gross domestic product (GDP) invested in research is below 1% in the majority of countries. The region has been a participant in only 4.6% of clinical trials in cancer worldwide and produced only 4% of all scientific publications. Methods: This study, a bibliometric analysis of cancer-related publications in LATAM establishes the relationship between sociodemographic factors and countries, taking into account authors and their networking efforts. We implemented a high sensitivity search strategy for cancer publications between 2000 and 2018 using the Scopus database, limited to LATAM nations. We constructed collaboration networks for both authors and citations for LATAM and each country in the region, calculated correlations between the number of included publications, author and national indicators. Findings: The search included 8528 articles across 9 countries. Brazil was the most productive nation with 41.8% of the included references. Mexico (16.6%), Argentina (12.9%), and Chile (9.7%) followed. LATAM experienced a 9% growth in publications. Peru had the greatest percentage growth (23%). Number of publications by country highly correlated with author network size (r = 0.75, p = 0.019). Percentage of invested GDP in research and development correlated positively with the number of publications for most nations. Interpretation: LATAM has experienced a significant growth in cancer related publications. Furthermore, it highlights the importance of scientific networking as a strategy for increasing scientific productivity. Hopefully, these results will serve to bolster oncology related publications in the region, further contributing with cancer research and leading to progress in the scientific field. Funding Statement: This study was self-funded. Declaration of Interests: The authors declare no potential conflict of interest related to this article. Ethics Approval Statement: Due to the nature of the study, no approval of an institutional Ethics and Research board was required.