Patient-Derived Organoids from Colorectal Cancer with Paired Liver Metastasis Reveal Tumor Heterogeneity and Predict Response to Chemotherapy.
Patient-Derived Organoids from Colorectal Cancer with Paired Liver Metastasis Reveal Tumor Heterogeneity and Predict Response to Chemotherapy.
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来自具有配对肝转移的结直肠癌患者的类器官揭示了肿瘤异质性并预测对化疗的反应
DOI:
10.1002/advs.202204097
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发表时间:
2022-11
期刊:
影响因子:
--
通讯作者:
Hua G
中科院分区:
文献类型:
--
作者:
Mo S;Tang P;Luo W;Zhang L;Li Y;Hu X;Ma X;Chen Y;Bao Y;He X;Fu G;Xu X;Rao X;Li X;Guan R;Chen S;Deng Y;Lv T;Mu P;Zheng Q;Wang S;Liu F;Li Y;Sheng W;Huang D;Hu C;Gao J;Zhang Z;Cai S;Clevers H;Peng J;Hua G
There is no effective method to predict chemotherapy response and postoperative prognosis of colorectal cancer liver metastasis (CRLM) patients. Patient‐derived organoid (PDO) has become an important preclinical model. Herein, a living biobank with 50 CRLM organoids derived from primary tumors and paired liver metastatic lesions is successfully constructed. CRLM PDOs from the multiomics levels (histopathology, genome, transcriptome and single‐cell sequencing) are comprehensively analyzed and confirmed that this organoid platform for CRLM could capture intra‐ and interpatient heterogeneity. The chemosensitivity data in vitro reveal the potential value of clinical application for PDOs to predict chemotherapy response (FOLFOX or FOLFIRI) and clinical prognosis of CRLM patients. Taken together, CRLM PDOs can be utilized to deliver a potential application for personalized medicine. A living biobank of patient‐derived organoid (PDO) is derived from primary colorectal cancer and paired liver metastatic lesions, which captures intra‐ and interpatient molecular fingerprint heterogeneity. PDO chemosensitivity measured in vitro may be used as a predictive tool for clinical chemotherapeutic efficacy, and guide the formulation of precise treatment strategies for colorectal cancer patients with liver metastases.
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影响因子:
64.5
作者:
Lee SH;Hu W;Matulay JT;Silva MV;Owczarek TB;Kim K;Chua CW;Barlow LJ;Kandoth C;Williams AB;Bergren SK;Pietzak EJ;Anderson CB;Benson MC;Coleman JA;Taylor BS;Abate-Shen C;McKiernan JM;Al-Ahmadie H;Solit DB;Shen MM
通讯作者:
Shen MM
影响因子:
8.4
作者:
Eisenhauer, E. A.;Therasse, P.;Verweij, J.
通讯作者:
Verweij, J.
影响因子:
16.6
作者:
Ishaque N;Abba ML;Hauser C;Patil N;Paramasivam N;Huebschmann D;Leupold JH;Balasubramanian GP;Kleinheinz K;Toprak UH;Hutter B;Benner A;Shavinskaya A;Zhou C;Gu Z;Kerssemakers J;Marx A;Moniuszko M;Kozlowski M;Reszec J;Niklinski J;Eils J;Schlesner M;Eils R;Brors B;Allgayer H
通讯作者:
Allgayer H
影响因子:
64.5
作者:
Gao D;Vela I;Sboner A;Iaquinta PJ;Karthaus WR;Gopalan A;Dowling C;Wanjala JN;Undvall EA;Arora VK;Wongvipat J;Kossai M;Ramazanoglu S;Barboza LP;Di W;Cao Z;Zhang QF;Sirota I;Ran L;MacDonald TY;Beltran H;Mosquera JM;Touijer KA;Scardino PT;Laudone VP;Curtis KR;Rathkopf DE;Morris MJ;Danila DC;Slovin SF;Solomon SB;Eastham JA;Chi P;Carver B;Rubin MA;Scher HI;Clevers H;Sawyers CL;Chen Y
通讯作者:
Chen Y
影响因子:
82.9
作者:
Kopper, Oded;de Witte, Chris J.;Clevers, Hans
通讯作者:
Clevers, Hans