Literature DB >> 36201027

The area of residual tumor predicts esophageal squamous cell carcinoma prognosis following neoadjuvant chemotherapy.

Masahiro Adachi1,2, Naoki Aoyama3,4, Motohiro Kojima1,5, Naoya Sakamoto1,5, Saori Miyazaki1, Tetsuro Taki1, Reiko Watanabe1, Kazuto Matsuura6, Daisuke Kotani7, Takashi Kojima7, Takeo Fujita8, Keiji Tabuchi2, Genichiro Ishii1, Shingo Sakashita9,10.   

Abstract

PURPOSE: To clarify the utility of the area of residual tumor for patients with esophageal squamous cell cancer treated with neoadjuvant chemotherapy.
METHODS: We enrolled 186 patients with esophageal squamous cell cancer who underwent surgical resection following neoadjuvant chemotherapy at our hospital. Using digital images, we measured the area of residual tumor at the maximum plane of the specimen and divided the patient into three groups as follows: 0 (area = 0 mm2), low (area = 0-40 mm2), and high (area ≥ 40 mm2). The clinicopathological factors and prognosis were compared among these groups.
RESULTS: The median area of the residual tumor was 15.0 mm2 (range 0-1,448.8 mm2). Compared with the 0 and low group, the high group was significantly associated with poorer recurrence-free survival (all P < .001) and overall survival (P < .001 [vs. 0] and P = .017 [vs low]). The area of residual tumor, ypN, tumor regression grade, and lymphovascular invasion were independent predictors of recurrence-free survival. By dividing the patients using a combination of the area of residual tumor and lymphovascular invasion, the high and/or lymphovascular invasion ( +) group displayed significantly poor recurrence-free survival than the 0 group and low/lymphovascular invasion ( -) group. However, there was no significant difference in the recurrence-free survival between the 0 group and low/lymphovascular invasion ( -) group.
CONCLUSION: The area of residual tumor is a promising histopathological prognostic factor for patients with esophageal squamous cell cancer treated with neoadjuvant chemotherapy. Moreover, it is a possible candidate histopathological factor for postoperative chemotherapy selection.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Esophageal neoplasm; Neoadjuvant therapy; Pathology; Residual tumor; Response evaluation criteria in solid tumors

Year:  2022        PMID: 36201027     DOI: 10.1007/s00432-022-04366-7

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.322


  21 in total

1.  Posttherapy pathologic stage predicts survival in patients with esophageal carcinoma receiving preoperative chemoradiation.

Authors:  Lucian R Chirieac; Stephen G Swisher; Jaffer A Ajani; Ritsuko R Komaki; Arlene M Correa; Jeffrey S Morris; Jack A Roth; Asif Rashid; Stanley R Hamilton; Tsung-Teh Wu
Journal:  Cancer       Date:  2005-04-01       Impact factor: 6.860

2.  Prognostic significance of tumor regression grade for patients with esophageal squamous cell carcinoma after neoadjuvant chemotherapy followed by surgery.

Authors:  Ken Hatogai; Satoshi Fujii; Takashi Kojima; Hiroyuki Daiko; Tomohiro Kadota; Takeo Fujita; Takayuki Yoshino; Toshihiko Doi; Yuichi Takiguchi; Atsushi Ohtsu
Journal:  J Surg Oncol       Date:  2016-01-12       Impact factor: 3.454

3.  Area of residual tumor beyond the muscular layer is a useful predictor of outcome in rectal cancer patients who receive preoperative chemoradiotherapy.

Authors:  Motohiro Kojima; Genichiro Ishii; Yuki Yamane; Yuji Nishizawa; Norio Saito; Atsushi Ochiai
Journal:  Pathol Int       Date:  2009-12       Impact factor: 2.534

4.  Classification of pathologic response to neoadjuvant therapy in esophageal and junctional cancer: assessment of existing measures and proposal of a novel 3-point standard.

Authors:  Claire L Donohoe; Naoimh J O'Farrell; Tim Grant; Sinead King; Lindsey Clarke; Cian Muldoon; John V Reynolds
Journal:  Ann Surg       Date:  2013-11       Impact factor: 12.969

5.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
Journal:  Bone Marrow Transplant       Date:  2012-12-03       Impact factor: 5.483

6.  Adjuvant Nivolumab in Resected Esophageal or Gastroesophageal Junction Cancer.

Authors:  Ronan J Kelly; Jaffer A Ajani; Jaroslaw Kuzdzal; Thomas Zander; Eric Van Cutsem; Guillaume Piessen; Guillermo Mendez; Josephine Feliciano; Satoru Motoyama; Astrid Lièvre; Hope Uronis; Elena Elimova; Cecile Grootscholten; Karen Geboes; Syed Zafar; Stephanie Snow; Andrew H Ko; Kynan Feeney; Michael Schenker; Piotr Kocon; Jenny Zhang; Lili Zhu; Ming Lei; Prianka Singh; Kaoru Kondo; James M Cleary; Markus Moehler
Journal:  N Engl J Med       Date:  2021-04-01       Impact factor: 91.245

7.  Reproducibility and prognostic significance of area of residual tumor (ART) in post-neoadjuvant resections of pancreatic ductal adenocarcinoma.

Authors:  Ai Kameyama; Juanjuan Ye; Ayaka Shimomura; Masanao Yokohira; Yuko Nakano-Narusawa; Keiko Yamakawa; Yuri Mukai; Takayuki Sanomura; Hiroyuki Okuyama; Nobuyuki Miyatake; Mutsuo Furihata; Chiharu Tanaka; Riko Kitazawa; Yoshimi Bando; Yamato Suemitsu; Motohiro Kojima; Mari Mino-Kenudson; Yasuyuki Suzuki; Keiichi Okano; Yoko Matsuda
Journal:  Pancreatology       Date:  2021-09-10       Impact factor: 3.996

8.  Nivolumab Combination Therapy in Advanced Esophageal Squamous-Cell Carcinoma.

Authors:  Yuichiro Doki; Jaffer A Ajani; Ken Kato; Jianming Xu; Lucjan Wyrwicz; Satoru Motoyama; Takashi Ogata; Hisato Kawakami; Chih-Hung Hsu; Antoine Adenis; Farid El Hajbi; Maria Di Bartolomeo; Maria I Braghiroli; Eva Holtved; Sandra A Ostoich; Hye R Kim; Masaki Ueno; Wasat Mansoor; Wen-Chi Yang; Tianshu Liu; John Bridgewater; Tomoki Makino; Ioannis Xynos; Xuan Liu; Ming Lei; Kaoru Kondo; Apurva Patel; Joseph Gricar; Ian Chau; Yuko Kitagawa
Journal:  N Engl J Med       Date:  2022-02-03       Impact factor: 176.079

9.  Pathologic method for extracting good prognosis group in triple-negative breast cancer after neoadjuvant chemotherapy.

Authors:  Yuki Eguchi; Tokiko Nakai; Motohiro Kojima; Masashi Wakabayashi; Naoya Sakamoto; Shingo Sakashita; Saori Miyazaki; Tetsuro Taki; Reiko Watanabe; Rurina Watanuki; Chisako Yamauchi; Tsuguo Iwatani; Toru Mukohara; Tatsuya Onishi; Genichiro Ishii
Journal:  Cancer Sci       Date:  2022-03-01       Impact factor: 6.716

Review 10.  Developing image analysis methods for digital pathology.

Authors:  Peter Bankhead
Journal:  J Pathol       Date:  2022-05-23       Impact factor: 9.883

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