Skip to content
#protein folding Open access

Profiling proteomic responses in small intestinal neuroendocrine tumor GOT1 after [177Lu]Lu-DOTATATE therapy

Sep 2026 · BMC Cancer · Vol 26 · 0 citations · 74 references
Medicine

Abstract

Peptide receptor radionuclide therapy with [177Lu]Lu-DOTATATE is an established treatment for somatostatin receptor–expressing neuroendocrine tumors. Although strong anti-tumor effects have been demonstrated in experimental models, curative responses in patients remain limited. Improved understanding of the molecular responses induced by [177Lu]Lu-DOTATATE may help identify strategies for treatment optimization. This study aimed to characterize proteomic alterations in GOT1 small intestinal neuroendocrine tumor xenografts following [177Lu]Lu-DOTATATE therapy. GOT1 tumor–bearing BALB/c nude mice received a non-curative intravenous administration of 15 MBq [177Lu]Lu-DOTATATE or saline control. Tumors were collected 1 or 13 days after treatment to represent early response and regrowth phases. Tumor volumes were monitored using magnetic resonance imaging. Proteomic profiling was performed using liquid chromatography tandem mass spectrometry with tandem mass tag labeling. Differential protein expression was analyzed using Welch’s t-test with significance defined as fold change ≥ 1.5 and p < 0.01. Functional enrichment and pathway analyses were conducted using Gene Ontology annotation and Ingenuity Pathway Analysis. Treatment induced a transient reduction in tumor volume followed by regrowth. In total, 3861 proteins were quantified, of which 155 showed significantly altered expression after treatment. Affected proteins were associated with cytoskeletal organization, oxidative stress response, protein metabolism, and systemic regulation. Pathway analyses identified inhibition of several signaling pathways linked to cell migration and invasiveness, including RhoA, Rac, integrin, and CXCR4 signaling. Upstream regulator analysis suggested activation of RABL6 and inhibition of p53 signaling during tumor regrowth. Proteins related to endoplasmic reticulum stress and ubiquitin-proteasome activity were also altered. Selected findings were validated by ELISA. [177Lu]Lu-DOTATATE therapy induced extensive proteomic changes in GOT1 tumors, including suppression of pathways associated with invasiveness and modulation of p53- and stress-related signaling. These findings suggest potential therapeutic benefits of combining [177Lu]Lu-DOTATATE with agents targeting p53 regulation or endoplasmic reticulum stress pathways to improve treatment efficacy in neuroendocrine tumors.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.