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      Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma

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          Abstract

          Purpose:

          Patient-derived organoids (PDO) of lung cancer has been recently introduced, reflecting the genomic landscape of lung cancer. However, clinical relevance of advanced lung adenocarcinoma organoids remains unknown. Here, we examined the ability of PDOs to predict clinical responses to targeted therapies in individual patients and to identify effective anticancer therapies for novel molecular targets.

          Experimental Design:

          Eighty-four organoids were established from patients with advanced lung adenocarcinoma. Formalin-fixed, paraffin-embedded tumor specimens from corresponding patients were analyzed by whole-exome sequencing ( n = 12). Organoids were analyzed by whole-exome sequencing ( n = 61) and RNA sequencing ( n = 55). Responses to mono or combination targeted therapies were examined in organoids and organoid-derived xenografts.

          Results:

          PDOs largely retained somatic alterations including driver mutations of matching patient tumors. PDOs were able to recapitulate progression-free survival and objective responses of patients with non–small cell lung cancer receiving clinically approved tyrosine kinase inhibitors. PDOs recapitulated activity of therapeutic strategies under clinical investigation. YUO-071 harboring an EGFR exon 19 deletion and a BRAF G464A mutation and the matching patient responded to dabrafenib/trametinib combination therapy. YUO-004 and YUO-050 harboring an EGFR L747P mutation was sensitive to afatinib, consistent with the response in the matching patient of YUO-050. Furthermore, we utilized organoids to identify effective therapies for novel molecular targets by demonstrating the efficacy of poziotinib against ERBB2 exon 20 insertions and pralsetinib against RET fusions.

          Conclusions:

          We demonstrated translational relevance of PDOs in advanced lung adenocarcinoma. PDOs are an important diagnostic tool, which can assist clinical decision making and accelerate development of therapeutic strategies.

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          Most cited references49

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          Fast and accurate long-read alignment with Burrows–Wheeler transform

          Motivation: Many programs for aligning short sequencing reads to a reference genome have been developed in the last 2 years. Most of them are very efficient for short reads but inefficient or not applicable for reads >200 bp because the algorithms are heavily and specifically tuned for short queries with low sequencing error rate. However, some sequencing platforms already produce longer reads and others are expected to become available soon. For longer reads, hashing-based software such as BLAT and SSAHA2 remain the only choices. Nonetheless, these methods are substantially slower than short-read aligners in terms of aligned bases per unit time. Results: We designed and implemented a new algorithm, Burrows-Wheeler Aligner's Smith-Waterman Alignment (BWA-SW), to align long sequences up to 1 Mb against a large sequence database (e.g. the human genome) with a few gigabytes of memory. The algorithm is as accurate as SSAHA2, more accurate than BLAT, and is several to tens of times faster than both. Availability: http://bio-bwa.sourceforge.net Contact: rd@sanger.ac.uk
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            Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma.

            Previous, uncontrolled studies have suggested that first-line treatment with gefitinib would be efficacious in selected patients with non-small-cell lung cancer. In this phase 3, open-label study, we randomly assigned previously untreated patients in East Asia who had advanced pulmonary adenocarcinoma and who were nonsmokers or former light smokers to receive gefitinib (250 mg per day) (609 patients) or carboplatin (at a dose calculated to produce an area under the curve of 5 or 6 mg per milliliter per minute) plus paclitaxel (200 mg per square meter of body-surface area) (608 patients). The primary end point was progression-free survival. The 12-month rates of progression-free survival were 24.9% with gefitinib and 6.7% with carboplatin-paclitaxel. The study met its primary objective of showing the noninferiority of gefitinib and also showed its superiority, as compared with carboplatin-paclitaxel, with respect to progression-free survival in the intention-to-treat population (hazard ratio for progression or death, 0.74; 95% confidence interval [CI], 0.65 to 0.85; P<0.001). In the subgroup of 261 patients who were positive for the epidermal growth factor receptor gene (EGFR) mutation, progression-free survival was significantly longer among those who received gefitinib than among those who received carboplatin-paclitaxel (hazard ratio for progression or death, 0.48; 95% CI, 0.36 to 0.64; P<0.001), whereas in the subgroup of 176 patients who were negative for the mutation, progression-free survival was significantly longer among those who received carboplatin-paclitaxel (hazard ratio for progression or death with gefitinib, 2.85; 95% CI, 2.05 to 3.98; P<0.001). The most common adverse events were rash or acne (in 66.2% of patients) and diarrhea (46.6%) in the gefitinib group and neurotoxic effects (69.9%), neutropenia (67.1%), and alopecia (58.4%) in the carboplatin-paclitaxel group. Gefitinib is superior to carboplatin-paclitaxel as an initial treatment for pulmonary adenocarcinoma among nonsmokers or former light smokers in East Asia. The presence in the tumor of a mutation of the EGFR gene is a strong predictor of a better outcome with gefitinib. (ClinicalTrials.gov number, NCT00322452.) 2009 Massachusetts Medical Society
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              Modeling Development and Disease with Organoids.

              Recent advances in 3D culture technology allow embryonic and adult mammalian stem cells to exhibit their remarkable self-organizing properties, and the resulting organoids reflect key structural and functional properties of organs such as kidney, lung, gut, brain and retina. Organoid technology can therefore be used to model human organ development and various human pathologies 'in a dish." Additionally, patient-derived organoids hold promise to predict drug response in a personalized fashion. Organoids open up new avenues for regenerative medicine and, in combination with editing technology, for gene therapy. The many potential applications of this technology are only beginning to be explored.

                Author and article information

                Journal
                Clin Cancer Res
                Clin Cancer Res
                Clinical Cancer Research
                American Association for Cancer Research
                1078-0432
                1557-3265
                01 August 2021
                03 June 2021
                : 27
                : 15
                : 4397-4409
                Affiliations
                [1 ]Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.
                [2 ]Department of Pathology, Yonsei University College of Medicine, Seoul, Korea.
                [3 ]Interpark Bio Convergence Corp., Seoul, Korea.
                [4 ]Division of Medical Oncology, Yonsei University College of Medicine, Yonsei Cancer Center, Seoul, Korea.
                Author notes
                [#]

                S.-Y. Kim and S.-M. Kim contributed equally to this article.

                [* ] Corresponding Authors: Byoung Chul Cho, Division of Medical Oncology, Yonsei Cancer Center, 50-1 Yonsei-ro, Seoul, 03722, Korea. E-mail: CBC1971@ 123456yuhs.ac ; HyunKi Kim, Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, Korea. E-mail: KIMHYUNKI@ 123456yuhs.ac ; and Seong Gu Heo, Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Yonsei Cancer Center, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, Korea. E-mail: LUKEHUR1@ 123456yuhs.ac
                Author information
                https://orcid.org/0000-0002-4716-5019
                https://orcid.org/0000-0002-2398-3287
                https://orcid.org/0000-0002-0764-7910
                https://orcid.org/0000-0001-9594-2655
                https://orcid.org/0000-0002-5562-270X
                Article
                CCR-20-5026
                10.1158/1078-0432.CCR-20-5026
                9401503
                34083237
                b88c9e9e-4b9f-4df1-8c1a-1ecad16b779a
                ©2021 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 30 December 2020
                : 23 February 2021
                : 21 May 2021
                Page count
                Pages: 13
                Funding
                Funded by: Interpark Bio Convergence Corp., Seoul, Korea, DOI ;
                Funded by: Science Research Program, DOI ;
                Funded by: NRF, DOI ;
                Funded by: Ministry of Science and ICT, DOI https://doi.org/10.13039/501100014188;
                Award ID: 2016R1A2B3016282
                Categories
                Translational Cancer Mechanisms and Therapy

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