Literature DB >> 29981466

Clinical and Pathologic Characteristics Predicted the Postoperative Recurrence and Progression of Pituitary Adenoma: A Retrospective Study with 10 Years Follow-Up.

Liang Lv1, Senlin Yin1, Peizhi Zhou1, Yu Hu1, Cheng Chen1, Weichao Ma1, Yong Jiang1, Zeming Wang1, Shu Jiang2.   

Abstract

OBJECTIVE: Tumor recurrence or residual regrowth are poor prognoses for pituitary adenoma (PA). However, there is no validated and well-accepted prognostic classification of PAs to predict the clinical outcome and guide clinical practice. We analyzed the relevant data of a large cohort of patients with PA and thereafter proposed a new clinicopathologic classification for prognostic prediction.
METHODS: Tumor recurrence or residual regrowth identified by magnetic resonance imaging scans and endocrine studies were analyzed along with associated clinical and pathological characteristics for patients who underwent surgery in 2008-2016 at West China Hospital. A new clinicopathologic classification was proposed and applied.
RESULTS: After a median follow-up of 44.0 months, tumor recurrence and residual progression were identified in 48 (25.0%) and 29 (37.2%) patients, respectively. Proliferative potential (hazard ratio [HR], 2.188; P = 0.002), invasiveness (HR, 1.698; P = 0.029), larger tumor size (HR, 1.029; P = 0.004), high-risk PA subtype (HR, 2.151; P = 0.004), and postoperative residual (HR, 1.941; P = 0.007) were risk factors for recurrence/progression in the early stage after surgery. With respect to clinicopathologic classification, compared with grade 1a tumors, grade 1b, 2a, and 2b adenomas had poorer prognosis with an increased probability of tumor recurrence/progression of 5.133-fold, 4.467-fold, and 20.1-fold, respectively.
CONCLUSIONS: The proposed clinicopathologic classification of PAs showed significant value in predicting prognosis and succeeded in identifying cases with more clinically aggressive lesions with recurrence or residual regrowth. This prognostic classification may be helpful when identifying aggressive PAs and deciding the appropriate therapeutic strategy for patients with PAs.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinicopathologic classification; High-risk pituitary adenoma; Pituitary adenoma; Recurrence/progression-free survival

Mesh:

Year:  2018        PMID: 29981466     DOI: 10.1016/j.wneu.2018.06.210

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  9 in total

1.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

2.  K i -67/MIB-1 and Recurrence in Pituitary Adenoma.

Authors:  Kent Tadokoro; Colten Wolf; Joseph Toth; Cara Joyce; Meharvan Singh; Anand Germanwala; Chirag Patel
Journal:  J Neurol Surg B Skull Base       Date:  2021-09-21

3.  Effect of pituitary adenoma consistency on surgical outcomes in patients undergoing endonasal endoscopic transsphenoidal surgery.

Authors:  A Acitores Cancela; V Rodríguez Berrocal; H Pian Arias; J J Díez; P Iglesias
Journal:  Endocrine       Date:  2022-08-13       Impact factor: 3.925

4.  Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis.

Authors:  Hélène Lasolle; Mad-Hélénie Elsensohn; Anne Wierinckx; Eudeline Alix; Clément Bonnefille; Alexandre Vasiljevic; Christine Cortet; Bénédicte Decoudier; Nathalie Sturm; Stephan Gaillard; Amandine Ferrière; Pascal Roy; Emmanuel Jouanneau; Philippe Bertolino; Claire Bardel; Damien Sanlaville; Gérald Raverot
Journal:  Acta Neuropathol Commun       Date:  2020-11-10       Impact factor: 7.801

5.  Analysis of Related Factors of Tumor Recurrence or Progression After Transnasal Sphenoidal Surgical Treatment of Large and Giant Pituitary Adenomas and Establish a Nomogram to Predict Tumor Prognosis.

Authors:  Yike Chen; Feng Cai; Jing Cao; Feng Gao; Yao Lv; Yajuan Tang; Anke Zhang; Wei Yan; Yongjie Wang; Xinben Hu; Sheng Chen; Xiao Dong; Jianmin Zhang; Qun Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-14       Impact factor: 5.555

6.  Prediction of the Recurrence of Non-Functioning Pituitary Adenomas Using Preoperative Supra-Intra Sellar Volume and Tumor-Carotid Distance.

Authors:  Wenli Chen; Mengqi Wang; Chengbin Duan; Shun Yao; Haosen Jiao; Zongming Wang; Bin Hu; Zhigang Mao; Yonghong Zhu; Haijun Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-30       Impact factor: 5.555

Review 7.  Clinical relevance of tumor consistency in pituitary adenoma.

Authors:  Alberto Acitores Cancela; Víctor Rodríguez Berrocal; Héctor Pian; Juan Salvador Martínez San Millán; Juan José Díez; Pedro Iglesias
Journal:  Hormones (Athens)       Date:  2021-06-19       Impact factor: 2.885

8.  A Preoperative MRI-Based Radiomics-Clinicopathological Classifier to Predict the Recurrence of Pituitary Macroadenoma Within 5 Years.

Authors:  Yu Zhang; Yuqi Luo; Xin Kong; Tao Wan; Yunling Long; Jun Ma
Journal:  Front Neurol       Date:  2022-01-05       Impact factor: 4.003

9.  Exosomal miRNA Profiling is a Potential Screening Route for Non-Functional Pituitary Adenoma.

Authors:  Liang Lyu; Haiyan Li; Cheng Chen; Yang Yu; Li Wang; Senlin Yin; Yu Hu; Shu Jiang; Feng Ye; Peizhi Zhou
Journal:  Front Cell Dev Biol       Date:  2022-01-18
  9 in total

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