First effectiveness data of lenvatinib and pembrolizumab as first-line therapy in advanced anaplastic thyroid cancer: a retrospective cohort study.

BACKGROUND: Anaplastic thyroid cancer (ATC) is a rare and aggressive neoplasm. We still lack effective treatment options, so survival rates remain very low. Here, we aimed to evaluate the activity of the combination of lenvatinib and pembrolizumab as systemic first-line therapy in ATC. METHODS: In a retrospective analysis, we investigated the activity and tolerability of combined lenvatinib (starting dose 14 to 24 mg daily) and pembrolizumab (200 mg every three weeks) as first-line therapy in an institutional cohort of ATC patients. RESULTS: Five patients with metastatic ATC received lenvatinib and pembrolizumab as systemic first-line therapy. The median progression-free survival was 4.7 (range 0.8-5.9) months, and the median overall survival was 6.3 (range 0.8-not reached) months. At the first follow-up, one patient had partial response, three patients had stable disease, and one patient was formally not evaluable due to interference of assessment by concomitant acute infectious thyroiditis. This patient was then stable for more than one year and was still on therapy at the data cutoff without disease progression. Further analyses revealed deficient DNA mismatch repair, high CD8+ lymphocyte infiltration, and low macrophage infiltration in this patient. Of the other patients, two had progressive disease after adverse drug reactions and therapy de-escalation, and two died after the first staging. For all patients, the PD-L1 combined positive score ranged from 12 to 100%. CONCLUSIONS: The combination of lenvatinib and pembrolizumab was effective and moderately tolerated in treatment-naïve ATC patients with occasional long-lasting response. However, we could not confirm the exceptional responses for this combination therapy reported before in pretreated patients.

Leveraging Large Language Models for Decision Support in Personalized Oncology.

Importance: Clinical interpretation of complex biomarkers for precision oncology currently requires manual investigations of previous studies and databases. Conversational large language models (LLMs) might be beneficial as automated tools for assisting clinical decision-making. Objective: To assess performance and define their role using 4 recent LLMs as support tools for precision oncology. Design, Setting, and Participants: This diagnostic study examined 10 fictional cases of patients with advanced cancer with genetic alterations. Each case was submitted to 4 different LLMs (ChatGPT, Galactica, Perplexity, and BioMedLM) and 1 expert physician to identify personalized treatment options in 2023. Treatment options were masked and presented to a molecular tumor board (MTB), whose members rated the likelihood of a treatment option coming from an LLM on a scale from 0 to 10 (0, extremely unlikely; 10, extremely likely) and decided whether the treatment option was clinically useful. Main Outcomes and Measures: Number of treatment options, precision, recall, F1 score of LLMs compared with human experts, recognizability, and usefulness of recommendations. Results: For 10 fictional cancer patients (4 with lung cancer, 6 with other; median [IQR] 3.5 [3.0-4.8] molecular alterations per patient), a median (IQR) number of 4.0 (4.0-4.0) compared with 3.0 (3.0-5.0), 7.5 (4.3-9.8), 11.5 (7.8-13.0), and 13.0 (11.3-21.5) treatment options each was identified by the human expert and 4 LLMs, respectively. When considering the expert as a criterion standard, LLM-proposed treatment options reached F1 scores of 0.04, 0.17, 0.14, and 0.19 across all patients combined. Combining treatment options from different LLMs allowed a precision of 0.29 and a recall of 0.29 for an F1 score of 0.29. LLM-generated treatment options were recognized as AI-generated with a median (IQR) 7.5 (5.3-9.0) points in contrast to 2.0 (1.0-3.0) points for manually annotated cases. A crucial reason for identifying AI-generated treatment options was insufficient accompanying evidence. For each patient, at least 1 LLM generated a treatment option that was considered helpful by MTB members. Two unique useful treatment options (including 1 unique treatment strategy) were identified only by LLM. Conclusions and Relevance: In this diagnostic study, treatment options of LLMs in precision oncology did not reach the quality and credibility of human experts; however, they generated helpful ideas that might have complemented established procedures. Considering technological progress, LLMs could play an increasingly important role in assisting with screening and selecting relevant biomedical literature to support evidence-based, personalized treatment decisions.

Metastases to the pituitary gland: insights from the German pituitary tumor registry.

Metastatic involvement of the pituitary gland is a rare but clinically significant phenomenon, that often poses diagnostic and therapeutic challenges. The aim of this study was to provide a comprehensive analysis of the origin of pituitary metastases using data from the German Pituitary Tumor Registry, one of the globally largest collections of pituitary pathology specimens. Here, we report data from a retrospective analysis of patients with metastases to the pituitary registered between 1990 and 2022. Out of 17,896 pituitary cases in the registry during this period, a total of 96 metastases to the pituitary gland were identified, accounting for 0.5% of all pituitary tumors in the registry. The mean age of the patients was 64 years. Breast cancer was identified as the primary tumor in 25% of total cases (n = 24/96) and in 50% of female patients. The second most prevalent primary tumor was lung cancer (18.75%, n = 18/96), followed by renal cell carcinoma (14.58%, n = 14/96). In comparison to current meta-analyses, this cohort shows a higher prevalence of metastases originating from the kidney. Furthermore, in contrast to the existing literature, no case of primary thyroid tumor was identified. Our study highlights the importance of pituitary metastases as a differential diagnosis in patients presenting with pituitary tumors.

Brain metastases in gastroesophageal cancers-an underestimated complication.

BACKGROUND: Brain metastases represent a severe complication in many gastrointestinal malignancies especially those arising from the upper gastrointestinal tract, including cancer of the esophagus, gastroesophageal junction, and stomach (GEC). However, there is little knowledge about the onset or potential risk factors for brain metastases (BRMs) in upper gastrointestinal cancers resulting in a lack of screening guidelines for BRMs. METHODS: We analyzed 827 patients from our cancer registry suffering from gastroesophageal cancer (GEC) and treated at the University Medical Center Göttingen between January 2013 and December 2019 for the presence of BRMs. RESULTS: From 827 patients with GEC we found 54 patients with BRMs, resulting in an incidence of 6.5%. BRMs are more frequent in male patients (90.74% vs 9.26%, p = 0.0051) and in adenocarcinomas (90.74% vs 9.26%, p = 0.0117). Mean duration for the onset of BRMs from initial cancer diagnoses was 20.9 months in limited disease (curative approach) and 9.3 months in advanced disease (palliative approach) (p = 0.0026). However, early detection of BRMs is a prognostic factor since patients with successful resection of BRMs have a better prognosis compared to those with unresectable BRMs (5.93 vs 2.07 months, p = 0.0091). CONCLUSION: In this single-center retrospective study, brain metastases (BRMs) occur with a high frequency (6.5%) in gastroesophageal cancer (GEC), significantly more often in male patients and adenocarcinomas. Since survival of these patients considerably correlates with successful BRMs resection, our observations propose further prospective trails to validate our hypothesis and ultimately the implementation of routine screening procedures to detect asymptomatic brain metastases.

Clinical outcome of a patient with lysosomal acid lipase deficiency and first results after initiation of treatment with Sebelipase alfa: A case report.

We report on a case of very rare autosomal recessive cholesteryl ester storage disease due to lysosomal acid lipase deficiency (LALD). LALD is caused by mutations in the lysosomal acid lipase A (LIPA) gene resulting in cholesteryl ester accumulation in liver, spleen, and macrophages. It can lead to liver failure, accelerated atherosclerosis and premature death. Until recently, treatment options were limited to lipid-lowering medications to control dyslipidemia. Presently, a long-term enzyme replacement therapy with Sebelipase alfa, a recombinant human lysosomal acid lipase, is available for patients with LALD. Our patient's condition became conspicuous at the age of two due to a xanthogranuloma of the chin together with increased lipid levels, elevated liver enzymes and hepatomegaly. It took another five years until our patient was diagnosed with LALD after genetic testing. A bi-weekly therapy with intravenous Sebelipase alfa was started at the age of 26 years. It led to normalization of lipid levels, reduction of liver enzymes and beginning regression of hepatomegaly in the absence of adverse drug reactions after 46 infusions. Since LALD can take a fatal course even in patients with a long-term stable condition, it is essential to identify affected patients early and to treat them appropriately by enzyme replacement therapy. LALD should be suspected in patients with low high-density lipoprotein cholesterol (HDL-C) and high low-density lipoprotein cholesterol (LDL-C) in conjunction with elevated liver enzymes or hepatomegaly. A registry for LALD patients shall help to advance our understanding of the disease as well as improve patient care (NCT01633489).

Allergies - A T cells perspective in the era beyond the TH1/TH2 paradigm.

Allergic diseases have emerged as a major health care burden, especially in the western hemisphere. They are defined by overshooting reactions of an aberrant immune system to harmless exogenous stimuli. The TH1/TH2 paradigm assumes that a dominance of TH2 cell activation and an inadequate TH1 cell response are responsible for the development of allergies. However, the characterization of additional T helper cell subpopulations such as TH9, TH17, TH22, THGM-CSF and their interplay with regulatory T cells suggest further layers of complexity. This review summarizes state-of-the-art knowledge on T cell diversity and their induction, while revisiting the TH1/TH2 paradigm. With respect to these numerous contributors, it offers a new perspective on the pathogenesis of asthma, allergic rhinitis (AR) and atopic dermatitis (AD) incorporating recent discoveries in the field of T cell plasticity.