Literature DB >> 28455360

Rb Loss and KRAS Mutation Are Predictors of the Response to Platinum-Based Chemotherapy in Pancreatic Neuroendocrine Neoplasm with Grade 3: A Japanese Multicenter Pancreatic NEN-G3 Study.

Susumu Hijioka1, Waki Hosoda2, Keitaro Matsuo3, Makoto Ueno4, Masayuki Furukawa5, Hideyuki Yoshitomi6, Noritoshi Kobayashi7, Masafumi Ikeda8, Tetsuhide Ito9, Shoji Nakamori10, Hiroshi Ishii11, Yuzo Kodama12, Chigusa Morizane13, Takuji Okusaka13, Hiroaki Yanagimoto14, Kenji Notohara15, Hiroki Taguchi16, Masayuki Kitano17, Kei Yane18, Hiroyuki Maguchi18, Yoshiaki Tsuchiya19, Izumi Komoto20, Hiroki Tanaka21, Akihito Tsuji22, Syunpei Hashigo23, Yoshiaki Kawaguchi24, Tetsuya Mine24, Atsushi Kanno25, Go Murohisa26, Katsuyuki Miyabe27, Tadayuki Takagi28, Nobutaka Matayoshi29, Tsukasa Yoshida30, Kazuo Hara30, Masayuki Imamura31, Junji Furuse32, Yasushi Yatabe2, Nobumasa Mizuno30.   

Abstract

Purpose: Patients with pancreatic neuroendocrine neoplasm grade-3 (PanNEN-G3) show variable responses to platinum-based chemotherapy. Recent studies indicated that PanNEN-G3 includes well-differentiated neuroendocrine tumor with G3 (NET-G3). Here, we examined the clinicopathologic and molecular features of PanNEN-G3 and assessed the responsiveness to chemotherapy and survival.Experimental Design: A total of 100 patients with PanNEN-G3 were collected from 31 institutions, and after central review characteristics of each histologic subtype [NET-G3 vs. pancreatic neuroendocrine carcinoma (NEC-G3)] were analyzed, including clinical, radiological, and molecular features. Factors that correlate with response to chemotherapy and survival were assessed.
Results: Seventy patients analyzed included 21 NETs-G3 (30%) and 49 NECs-G3 (70%). NET-G3 showed lower Ki67-labeling index (LI; median 28.5%), no abnormal Rb expression (0%), and no mutated KRAS (0%), whereas NEC-G3 showed higher Ki67-LI (median 80.0%), Rb loss (54.5%), and KRAS mutations (48.7%). Chemotherapy response rate (RR), platinum-based chemotherapy RR, and prognosis differed significantly between NET-G3 and NEC-G3. Chemotherapeutic outcomes were worse in NET-G3 (P < 0.001). When we stratified PanNEN-G3 with Rb and KRAS, PanNENs-G3 with Rb loss and those with mutated KRAS showed significantly higher RRs to platinum-based chemotherapy than those without (Rb loss, 80% vs. normal Rb, 24%, P = 0.006; mutated KRAS, 77% versus wild type, 23%, P = 0.023). Rb was a predictive marker of response to platinum-based chemotherapy even in NEC-G3 (P = 0.035).Conclusions: NET-G3 and NEC-G3 showed distinct clinicopathologic characteristics. Notably, NET-G3 does not respond to platinum-based chemotherapy. Rb and KRAS are promising predictors of response to platinum-based chemotherapy for PanNEN-G3, and Rb for NEC-G3. Clin Cancer Res; 23(16); 4625-32. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28455360     DOI: 10.1158/1078-0432.CCR-16-3135

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  51 in total

Review 1.  Pancreatic neuroendocrine tumors: A review of serum biomarkers, staging, and management.

Authors:  Zu-Yi Ma; Yuan-Feng Gong; Hong-Kai Zhuang; Zi-Xuan Zhou; Shan-Zhou Huang; Yi-Ping Zou; Bo-Wen Huang; Zhong-Hai Sun; Chuan-Zhao Zhang; Yun-Qiang Tang; Bao-Hua Hou
Journal:  World J Gastroenterol       Date:  2020-05-21       Impact factor: 5.742

Review 2.  Clinical applications of (epi)genetics in gastroenteropancreatic neuroendocrine neoplasms: Moving towards liquid biopsies.

Authors:  Gitta Boons; Timon Vandamme; Marc Peeters; Guy Van Camp; Ken Op de Beeck
Journal:  Rev Endocr Metab Disord       Date:  2019-09       Impact factor: 6.514

Review 3.  Management of Well-Differentiated High-Grade (G3) Neuroendocrine Tumors.

Authors:  Mohamad Bassam Sonbol; Thorvardur R Halfdanarson
Journal:  Curr Treat Options Oncol       Date:  2019-08-19

Review 4.  Neuroendocrine Neoplasms: Dichotomy, Origin and Classifications.

Authors:  Günter Klöppel
Journal:  Visc Med       Date:  2017-10-16

Review 5.  The Role of Cytotoxic Chemotherapy in Well-Differentiated Gastroenteropancreatic and Lung Neuroendocrine Tumors.

Authors:  Mauro Cives; Eleonora Pelle'; Davide Quaresmini; Barbara Mandriani; Marco Tucci; Franco Silvestris
Journal:  Curr Treat Options Oncol       Date:  2019-07-25

Review 6.  Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2019-11-27       Impact factor: 4.512

7.  Treatment Outcomes of Well-Differentiated High-Grade Neuroendocrine Tumors.

Authors:  Alex J Liu; Benjamin E Ueberroth; Patrick W McGarrah; Skye A Buckner Petty; Ayse Tuba Kendi; Jason Starr; Timothy J Hobday; Thorvardur R Halfdanarson; Mohamad Bassam Sonbol
Journal:  Oncologist       Date:  2021-02-08

8.  Everolimus in the treatment of neuroendocrine tumors: efficacy, side-effects, resistance, and factors affecting its place in the treatment sequence.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Opin Pharmacother       Date:  2018-05-24       Impact factor: 3.889

9.  Most high-grade neuroendocrine tumours of the lung are likely to secondarily develop from pre-existing carcinoids: innovative findings skipping the current pathogenesis paradigm.

Authors:  Giuseppe Pelosi; Fabrizio Bianchi; Elisa Dama; Michele Simbolo; Andrea Mafficini; Angelica Sonzogni; Sara Pilotto; Sergio Harari; Mauro Papotti; Marco Volante; Gabriella Fontanini; Luca Mastracci; Adriana Albini; Emilio Bria; Fiorella Calabrese; Aldo Scarpa
Journal:  Virchows Arch       Date:  2018-02-01       Impact factor: 4.064

10.  Sunitinib shrinks NET-G3 pancreatic neuroendocrine neoplasms.

Authors:  Yuki Mizuno; Atsushi Kudo; Takumi Akashi; Keiichi Akahoshi; Toshiro Ogura; Kosuke Ogawa; Hiroaki Ono; Yusuke Mitsunori; Daisuke Ban; Shinji Tanaka; Ukihide Tateishi; Minoru Tanabe
Journal:  J Cancer Res Clin Oncol       Date:  2018-03-30       Impact factor: 4.553

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