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Updated: Dec 9, 2025

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Next-Generation Sequencing of Advanced GI Tumors Reveals Individual Treatment Options
Michael Bitzer1,2,3, Leonie Ostermann1, Marius Horger4
1Department of Internal Medicine I, Eberhard-Karls University, Tuebingen, Germany.
Purpose:
Precision oncology connects highly complex diagnostic procedures with patient histories to identify individualized treatment options in interdisciplinary molecular tumor boards (MTBs). Detailed data on MTB-guided treatments and outcome with a focus on advanced GI cancers have not been reported yet.
Patients And Methods:
Next-generation sequencing of tumor and normal tissue pairs was performed between April 2016 and February 2018. After identification of relevant molecular alterations, available clinical studies or in-label, off-label, or matched experimental treatment options were recommended. Follow-up data and a response assessment that was based on radiologic imaging were recorded.
Results:
Ninety-six patients were presented to the MTB of Tuebingen University Hospital. Sixteen (17%) showed "pathogenic" or "likely pathogenic" germline variants. Recommendations on the basis of molecular alterations or tumor mutational burden were given for 41 patients (43%). Twenty-five received the suggested drug, and 20 were evaluable for best response assessment. Three patients (15%) reached a partial response (PR), and 6 (30%), stable disease (SD), whereas 11 (55%) had tumor progression (progressive disease). Median progression-free survival (PFS) for all treated and evaluable patients was 2.8 months (range, 1.0-9.0 months), and median overall survival (OS) of all treated patients was 5.2 months (range, 0.1 months to not reached). Patients with SD for ≥ 3 months or PR compared with progressive disease showed both a statistically significant longer median PFS (7.8 months [95% CI, 4.2 to 11.4 months] v 2.2 months [95% CI, 1.5 to 2.8 months], P < .0001) and median OS (18.0 months [95% CI, 10.4 to 25.6 months] v 3.8 months [95% CI, 2.3 to 5.4 months], P < .0001).
Conclusion:
Next-generation sequencing diagnostics of advanced GI cancers identified a substantial number of pathogenic or likely pathogenic germline variants and unique individual treatment options. Patients with PR or SD in the course of MTB-recommended treatments seemed to benefit with respect to PFS and OS.
Insights
Precision oncology using molecular tumor boards (MTBs) identified new treatment options for advanced GI cancers. Patients with partial response or stable disease showed significantly improved progression-free and overall survival.
Area of Science:
- Oncology
- Genomics
- Personalized Medicine
Background:
- Precision oncology integrates diagnostics and patient history for tailored treatments via molecular tumor boards (MTBs).
- Limited data exists on MTB-guided treatments and outcomes for advanced gastrointestinal (GI) cancers.
Purpose of the Study:
- To report detailed outcomes of patients with advanced GI cancers treated based on MTB recommendations.
- To evaluate the efficacy of precision oncology approaches in this patient population.
Main Methods:
- Next-generation sequencing (NGS) of tumor and normal tissues was performed.
- Molecular alterations identified guided recommendations for clinical studies or targeted therapies.
- Patient follow-up and radiologic response assessments were conducted.
Main Results:
- Of 96 patients, 16% had pathogenic germline variants. Recommendations were made for 43% of patients.
- Twenty-five patients received recommended drugs; 20 were evaluable for response.
- Partial response (PR) or stable disease (SD) correlated with significantly longer progression-free survival (PFS) and overall survival (OS) compared to progressive disease.
Conclusions:
- NGS diagnostics in advanced GI cancers reveal numerous pathogenic germline variants and unique treatment strategies.
- Patients achieving PR or SD with MTB-recommended treatments demonstrated improved PFS and OS, supporting precision oncology's benefit.
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