Stefan Torborg

Dr. Stefan Torborg

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 June 2017 in Nature
Verified
Journal Article
Open access
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SSSydney M. Shaffer
Sydney M. Shaffer
MDMargaret C. Dunagin
Margaret C. Dunagin
STStefan Torborg
Stefan Torborg
ETEduardo A. Torre
Eduardo A. Torre
BEBenjamin Emert
Benjamin Emert
ARArjun Raj
Arjun Raj
Through drug exposure, a rare, transient transcriptional program characterized by high levels of expression of known resistance drivers can get ‘burned in’, leading to the selection of cells endowed with a transcriptional drug resistance and thus more chemoresistant cancers. Therapies that target signalling molecules that are mutated in cancers can often have substantial short-term effects, but the emergence of resistant cancer cells is a major barrier to full cures1,2. Resistance can result from secondary mutations3,4, but in other cases there is no clear genetic cause, raising the possibility of non-genetic rare cell variability5,6,7,8,9,10,11. Here we show that human melanoma cells can display profound transcriptional variability at the single-cell level that predicts which cells will ultimately resist drug treatment. This variability involves infrequent, semi-coordinated transcription of a number of resistance markers at high levels in a very small percentage of cells. The addition of drug then induces epigenetic reprogramming in these cells, converting the transient transcriptional state to a stably resistant state. This reprogramming begins with a loss of SOX10-mediated differentiation followed by activation of new signalling pathways, partially mediated by the activity of the transcription factors JUN and/or AP-1 and TEAD. Our work reveals the multistage nature of the acquisition of drug resistance and provides a framework for understanding resistance dynamics in single cells. We find that other cell types also exhibit sporadic expression of many of these same marker genes, suggesting the existence of a general program in which expression is displayed in rare subpopulations of cells.

5 July 2024 in Cancer Discovery
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Journal Article
Closed access
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ASAnupriya Singhal
Anupriya Singhal
HSHannah C. Styers
Hannah C. Styers
JRJonathan Rub
Jonathan Rub
ZLZhuxuan Li
Zhuxuan Li
STStefan Torborg
Stefan Torborg
TTTuomas Tammela
Tuomas Tammela
Intratumoral heterogeneity in pancreatic ductal adenocarcinoma (PDAC) is characterized by a balance between basal and classical epithelial cancer cell states, with basal dominance associating with chemoresistance and a dismal prognosis. Targeting oncogenic KRAS, the primary driver of pancreatic cancer, shows early promise in clinical trials, but efficacy is limited by acquired resistance. Using genetically engineered mouse models and patient-derived xenografts, we find that basal PDAC cells are highly sensitive to KRAS inhibitors. Employing fluorescent and bioluminescent reporter systems, we longitudinally track cell-state dynamics in vivo and reveal a rapid, KRAS inhibitor–induced enrichment of the classical state. Lineage tracing uncovers that these enriched classical PDAC cells are a reservoir for disease relapse. Genetic or chemotherapy-mediated ablation of the classical cell state is synergistic with KRAS inhibition, providing a preclinical proof of concept for this therapeutic strategy. Our findings motivate combining classical state–directed therapies with KRAS inhibitors to deepen responses and counteract resistance in pancreatic cancer. Significance: KRAS inhibitors hold promise in pancreatic cancer, but responses are limited by acquired resistance. We find that a classical epithelial cancer cell state is acutely resistant to KRAS inhibition and serves as a reservoir for disease relapse. Targeting the classical state alongside KRAS inhibition deepens responses, revealing a potent therapeutic strategy. See related commentary by Marasco and Misale, p. 2018

6 November 2023 in Cancer Discovery
Verified
Journal Article
Closed access
PDF file
ZLZhuxuan Li
Zhuxuan Li
XZXueqian Zhuang
Xueqian Zhuang
CPChun-Hao Pan
Chun-Hao Pan
YYYan Yan
Yan Yan
RTRohit Thummalapalli
Rohit Thummalapalli
TTTuomas Tammela
Tuomas Tammela
Lung adenocarcinoma (LUAD), commonly driven by KRAS mutations, is responsible for 7% of all cancer mortality. The first allele-specific KRAS inhibitors were recently approved in LUAD, but the clinical benefit is limited by intrinsic and acquired resistance. LUAD predominantly arises from alveolar type 2 (AT2) cells, which function as facultative alveolar stem cells by self-renewing and replacing alveolar type 1 (AT1) cells. Using genetically engineered mouse models, patient-derived xenografts, and patient samples, we found inhibition of KRAS promotes transition to a quiescent AT1-like cancer cell state in LUAD tumors. Similarly, suppressing Kras induced AT1 differentiation of wild-type AT2 cells upon lung injury. The AT1-like LUAD cells exhibited high growth and differentiation potential upon treatment cessation, whereas ablation of the AT1-like cells robustly improved treatment response to KRAS inhibitors. Our results uncover an unexpected role for KRAS in promoting intratumoral heterogeneity and suggest that targeting alveolar differentiation may augment KRAS-targeted therapies in LUAD. Significance: Treatment resistance limits response to KRAS inhibitors in LUAD patients. We find LUAD residual disease following KRAS targeting is composed of AT1-like cancer cells with the capacity to reignite tumorigenesis. Targeting the AT1-like cells augments responses to KRAS inhibition, elucidating a therapeutic strategy to overcome resistance to KRAS-targeted therapy. This article is featured in Selected Articles from This Issue, p. 201

22 October 2024 in Journal of Clinical Medicine
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Journal Article
Open access
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STStefan Torborg
Stefan Torborg
MKMaxwell P. Kligerman
Maxwell P. Kligerman
MCMarc A Cohen
Marc A Cohen
JSJavin Schefflein
Javin Schefflein
Objective: Extended reality (XR) has increasing usage in medicine, especially surgical fields, but the scope of applications is largely limited to intraoperative navigation. The aim of this scoping review is to evaluate all the available literature on how XR technologies have been applied to otolaryngology—head and neck surgery (OHNS) beyond the operating room for applications such as patient education and interdisciplinary communication. Review Methods: Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, we systematically searched PubMed and Scopus. Studies were reviewed without temporal restriction. Inclusion criteria comprised English-language, peer-review papers or conference abstracts studying XR technologies for non-operative uses such as patient education, physician training, or interdisciplinary preoperative planning in the field of OHNS. Results: Database searching initially identified 1607 records. After filtering for duplicates, screening for relevance, and applying the inclusion criteria, 10 studies were ultimately included. This study identifies gaps in the existing literature and describes future applications and key areas of research. XR is a novel strategy for increasing patients’ comprehension of their procedures and can facilitate improved communication and planning amongst a multidisciplinary surgical team during preoperative discussions. However, the existing literature is small in scale and has low statistical power for demonstrating clinical benefits. Conclusions: More robust studies are required to determine the true value of implementing XR. XR is a promising new technology with potential to advance education and patient care in OHNS. Ongoing research will continue to optimize the use of XR technology, ensuring safe and effective integration into clinical practice.

30 December 2023 in bioRxiv
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Preprint
Open access
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STStefan Torborg
Stefan Torborg
OGOlivera Grbovic-Huezo
Olivera Grbovic-Huezo
ASAnupriya Singhal
Anupriya Singhal
MHMatilda Holm
Matilda Holm
KWKatherine Wu
Katherine Wu
TTTuomas Tammela
Tuomas Tammela
Control of cell identity and number is central to tissue function, yet principles governing organization of malignant cells in tumor tissues remain poorly understood. Using mathematical modeling and candidate-based analysis, we discover primary and metastatic pancreatic ductal adenocarcinoma (PDAC) organize in a stereotypic pattern whereby PDAC cells responding to WNT signals (WNT-R) neighbor WNT-secreting cancer cells (WNT-S). Leveraging lineage-tracing, we reveal the WNT-R state is transient and gives rise to the WNT-S state that is highly stable and committed to organizing malignant tissue. We further show that a subset of WNT-S cells expressing the Notch ligand DLL1 form a functional niche for WNT-R cells. Genetic inactivation of WNT secretion or Notch pathway components, or cytoablation of the WNT-S state disrupts PDAC tissue organization, suppressing tumor growth and metastasis. This work indicates PDAC growth depends on an intricately controlled equilibrium of functionally distinct cancer cell states, uncovering a fundamental principle governing solid tumor growth and revealing new opportunities for therapeutic intervention.

8 February 2024
Verified
Other
Open access
ZLZhuxuan Li
Zhuxuan Li
XZXueqian Zhuang
Xueqian Zhuang
CPChun-Hao Pan
Chun-Hao Pan
YYYan Yan
Yan Yan
RTRohit Thummalapalli
Rohit Thummalapalli
TTTuomas Tammela
Tuomas Tammela
Supplementary Table 2 shows the differential gene expression analysis of lineage-traced AT2 cell progeny expressing shRenilla or shKras following hyperoxia injury.