Cumulative GRAS Score as a Predictor of Survival After Resection for Adrenocortical Carcinoma: Analysis From the U.S. Adrenocortical Carcinoma Database.


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 21 04 2020
accepted: 21 12 2020
pubmed: 16 2 2021
medline: 28 9 2021
entrez: 15 2 2021
Statut: ppublish

Résumé

Adrenocortical carcinoma (ACC) is a rare but aggressive malignancy, and many prognostic factors that influence survival remain undefined. Individually, the GRAS (Grade, Resection status, Age, and Symptoms of hormone hypersecretion) parameters have demonstrated their prognostic value in ACC. This study aimed to assess the value of a cumulative GRAS score as a prognostic indicator after ACC resection. A retrospective cohort study of adult patients who underwent surgical resection for ACC between 1993 and 2014 was performed using the United States Adrenocortical Carcinoma Group (US-ACCG) database. A sum GRAS score was calculated for each patient by adding one point each when the criteria were met for tumor grade (Weiss criteria ≥ 3 or Ki67 ≥ 20%), resection status (micro- or macroscopically positive margin), age (≥ 50 years), and preoperative symptoms of hormone hypersecretion (present). Overall survival (OS) and disease-free survival (DFS) by cumulative GRAS score were analyzed by the Kaplan-Meier method and log-rank test. Of the 265 patients in the US-ACCG database, 243 (92%) had sufficient data available to calculate a cumulative GRAS score and were included in this analysis. The 265 patients comprised 23 patients (10%) with a GRAS of 0, 52 patients (21%) with a GRAS of 1, 92 patients (38%) with a GRAS of 2, 63 patients (26%) with a GRAS of 3, and 13 patients (5%) with a GRAS of 4. An increasing GRAS score was associated with shortened OS (p < 0.01) and DFS (p < 0.01) after index resection. In this retrospective analysis, the cumulative GRAS score effectively stratified OS and DFS after index resection for ACC. Further prospective analysis is required to validate the cumulative GRAS score as a prognostic indicator for clinical use.

Sections du résumé

BACKGROUND BACKGROUND
Adrenocortical carcinoma (ACC) is a rare but aggressive malignancy, and many prognostic factors that influence survival remain undefined. Individually, the GRAS (Grade, Resection status, Age, and Symptoms of hormone hypersecretion) parameters have demonstrated their prognostic value in ACC. This study aimed to assess the value of a cumulative GRAS score as a prognostic indicator after ACC resection.
METHODS METHODS
A retrospective cohort study of adult patients who underwent surgical resection for ACC between 1993 and 2014 was performed using the United States Adrenocortical Carcinoma Group (US-ACCG) database. A sum GRAS score was calculated for each patient by adding one point each when the criteria were met for tumor grade (Weiss criteria ≥ 3 or Ki67 ≥ 20%), resection status (micro- or macroscopically positive margin), age (≥ 50 years), and preoperative symptoms of hormone hypersecretion (present). Overall survival (OS) and disease-free survival (DFS) by cumulative GRAS score were analyzed by the Kaplan-Meier method and log-rank test.
RESULTS RESULTS
Of the 265 patients in the US-ACCG database, 243 (92%) had sufficient data available to calculate a cumulative GRAS score and were included in this analysis. The 265 patients comprised 23 patients (10%) with a GRAS of 0, 52 patients (21%) with a GRAS of 1, 92 patients (38%) with a GRAS of 2, 63 patients (26%) with a GRAS of 3, and 13 patients (5%) with a GRAS of 4. An increasing GRAS score was associated with shortened OS (p < 0.01) and DFS (p < 0.01) after index resection.
CONCLUSION CONCLUSIONS
In this retrospective analysis, the cumulative GRAS score effectively stratified OS and DFS after index resection for ACC. Further prospective analysis is required to validate the cumulative GRAS score as a prognostic indicator for clinical use.

Identifiants

pubmed: 33586069
doi: 10.1245/s10434-020-09562-8
pii: 10.1245/s10434-020-09562-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6551-6561

Subventions

Organisme : NCI NIH HHS
ID : F32 CA236309
Pays : United States
Organisme : NCI NIH HHS
ID : F32 CA236309
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. Society of Surgical Oncology.

Références

Bilimoria KY, Shen WT, Elaraj D, et al. Adrenocortical carcinoma in the United States. Cancer. 2008;113:3130–6. https://doi.org/10.1002/cncr.23886 .
doi: 10.1002/cncr.23886 pubmed: 18973179
Golden SH, Robinson KA, Saldanha I, Anton B, Ladenson PW. Prevalence and incidence of endocrine and metabolic disorders in the United States: a comprehensive review. J Clin Endocrinol Metab. 2009;94:1853–78. https://doi.org/10.1210/jc.2008-2291 .
doi: 10.1210/jc.2008-2291 pubmed: 19494161 pmcid: 5393375
Fassnacht M, Johanssen S, Quinkler M, et al. Limited prognostic value of the 2004 International Union Against Cancer staging classification for adrenocortical carcinoma. Cancer. 2008;115:243–50. https://doi.org/10.1002/cncr.24030 .
doi: 10.1002/cncr.24030
Kebebew E, Reiff E, Duh Q-Y, Clark OH, McMillan A. Extent of disease at presentation and outcome for adrenocortical carcinoma: have we made progress? World J Surg. 2006;30:872–8. https://doi.org/10.1007/s00268-005-0329-x .
doi: 10.1007/s00268-005-0329-x pubmed: 16680602
Lughezzani G, Sun M, Perrotte P, et al. The European Network for the Study of Adrenal Tumors staging system is prognostically superior to the international union against cancer-staging system: a North American validation. Eur J Cancer. 2010;46:713–9. https://doi.org/10.1016/j.ejca.2009.12.007 .
doi: 10.1016/j.ejca.2009.12.007 pubmed: 20044246
Gaujoux S, Weinandt M, Bonnet S, Reslinger V, Bertherat J, Dousset B. Surgical treatment of adrenal carcinoma. J Visceral Surg. 2017;154:335–43. https://doi.org/10.1016/j.jviscsurg.2017.06.010 .
doi: 10.1016/j.jviscsurg.2017.06.010
Marincola Smith P, Kiernan CM, Tran TB, et al. Role of additional organ resection in adrenocortical carcinoma: analysis of 167 patients from the U.S. Adrenocortical Carcinoma Database. Ann Surg Oncol. 2018;25:2308–15. https://doi.org/10.1245/s10434-018-6546-y .
doi: 10.1245/s10434-018-6546-y pubmed: 29868977
Prendergast KM, Marincola Smith P, Tran TB, et al. Features of synchronous versus metachronous metastasectomy in adrenal cortical carcinoma: analysis from the US adrenocortical carcinoma database. Surgery. 2020;167:352–7. https://doi.org/10.1016/j.surg.2019.05.024 .
doi: 10.1016/j.surg.2019.05.024 pubmed: 31272813
Ayala-Ramirez M, Jasim S, Feng L, et al. Adrenocortical carcinoma: clinical outcomes and prognosis of 330 patients at a tertiary care center. Eur J Endocrinol. 2013;169:891–9. https://doi.org/10.1530/EJE-13-0519 .
doi: 10.1530/EJE-13-0519 pubmed: 24086089 pmcid: 4441210
Libé R, Borget I, Ronchi CL, et al. Prognostic factors in stage III–IV adrenocortical carcinomas (ACC): a European Network for the Study of Adrenal Tumor (ENSAT) study. Ann Oncol. 2015;26:2119–25. https://doi.org/10.1093/annonc/mdv329 .
doi: 10.1093/annonc/mdv329 pubmed: 26392430
Liang J, Liu Z, Zhou L, et al. The clinical utility of “GRAS” parameters in stage I–III adrenocortical carcinomas: long-term data from a high-volume institution. Endocrine. 2020;67(2):449–56. https://doi.org/10.1007/s12020-019-02141-2 .
Lau SK, Weiss LM. The Weiss system for evaluating adrenocortical neoplasms: 25 years later. Hum Pathol. 2009;40:1–12. https://doi.org/10.1016/j.humpath.2009.03.010 .
doi: 10.1016/j.humpath.2009.03.010
Abiven G, Coste J, Groussin L, et al. Clinical and biological features in the prognosis of adrenocortical cancer: poor outcome of cortisol-secreting tumors in a series of 202 consecutive patients. J Clin Endocrinol Metab. 2006;91:2650–5. https://doi.org/10.1210/jc.2005-2730 .
doi: 10.1210/jc.2005-2730 pubmed: 16670169
Volante M, Bollito E, Sperone P, et al. Clinicopathological study of a series of 92 adrenocortical carcinomas: from a proposal of simplified diagnostic algorithm to prognostic stratification. Histopathology. 2009;55:535–43. https://doi.org/10.1111/j.1365-2559.2009.03423.x .
doi: 10.1111/j.1365-2559.2009.03423.x pubmed: 19912359
Berruti A, Fassnacht M, Haak H, et al. Prognostic role of overt hypercortisolism in completely operated patients with adrenocortical cancer. Eur Urol. 2014;65(4):832–8. https://doi.org/10.1016/j.eururo.2013.11.006 .
Stojadinovic A, Ghossein RA, Hoos A, et al. Adrenocortical carcinoma: clinical, morphologic, and molecular characterization. JCO. 2002;40:941–50.
doi: 10.1200/JCO.2002.20.4.941
Edge SB, Compton CC 2010 The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the future of TNM. Ann Surg Oncol. 2010;17:1471–4. https://doi.org/10.1245/s10434-010-0985-4 .
Miller BS, Gauger PG, Hammer GD, Giordano TJ, Doherty GM. Proposal for modification of the ENSAT staging system for adrenocortical carcinoma using tumor grade. Langenbecks Arch Surg. 2010;395:955–61. https://doi.org/10.1007/s00423-010-0698-y .
doi: 10.1007/s00423-010-0698-y pubmed: 20694732
Papathomas TG, Pucci E, Giordano TJ, et al. An international Ki67 reproducibility study in adrenal cortical carcinoma. Am J Surg Pathol. 2016;40:569–76. https://doi.org/10.1097/PAS.0000000000000574 .
doi: 10.1097/PAS.0000000000000574 pubmed: 26685085
Kim Y, Margonis GA, Prescott JD, et al. Nomograms to predict recurrence-free and overall survival after curative resection of adrenocortical carcinoma. JAMA Surg. 2016;151:365–73. https://doi.org/10.1001/jamasurg.2015.4516 .
doi: 10.1001/jamasurg.2015.4516 pubmed: 26676603 pmcid: 4967352
Margonis GA, Kim Y, Tran TB, et al. Outcomes after resection of cortisol-secreting adrenocortical carcinoma. Am J Surg. 2016;211:1106–13. https://doi.org/10.1016/j.amjsurg.2015.09.020 .
doi: 10.1016/j.amjsurg.2015.09.020 pubmed: 26810939
Lippert J, Appenzeller S, Liang R, Sbiera S, Kircher S, Altieri B, et al. Targeted molecular analysis in adrenocortical carcinomas: a strategy toward improved personalized prognostication. J Clin Endocrinol Metab. 2018;103:4511–23. https://doi.org/10.1210/jc.2018-01348 .
doi: 10.1210/jc.2018-01348 pubmed: 30113656

Auteurs

Jordan J Baechle (JJ)

Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
School of Medicine, Meharry Medical College, Nashville, TN, USA.

Paula Marincola Smith (P)

Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Carmen C Solórzano (CC)

Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Thuy B Tran (TB)

Department of Surgery, Stanford Medical Center, Stanford, CA, USA.

Lauren M Postlewait (LM)

Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA.

Shishir K Maithel (SK)

Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA.

Jason Prescott (J)

Department of Surgery, The Johns Hopkins Medical Center, Baltimore, MD, USA.

Timothy Pawlik (T)

Department of Surgery, The Johns Hopkins Medical Center, Baltimore, MD, USA.

Tracy S Wang (TS)

Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

Jason Glenn (J)

Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

Ioannis Hatzaras (I)

Department of Surgery, New York University Langone Health, New York, NY, USA.

Rivfka Shenoy (R)

Department of Surgery, New York University Langone Health, New York, NY, USA.

John E Phay (JE)

Department of Surgery, The Ohio State University, Columbus, OH, USA.

Lawrence A Shirley (LA)

Department of Surgery, The Ohio State University, Columbus, OH, USA.

Ryan C Fields (RC)

Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.

Linda Jin (L)

Department of Surgery, Washington University School of Medicine, St Louis, MO, USA.

Daniel E Abbott (DE)

Department of General Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.

Sean Ronnekleiv-Kelly (S)

Department of General Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.

Jason K Sicklick (JK)

Department of Surgery, University of California San Diego, San Diego, CA, USA.

Adam Yopp (A)

Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.

John Mansour (J)

Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Quan-Yang Duh (QY)

Department of Surgery, University of California San Francisco, San Francisco, CA, USA.

Natalie Seiser (N)

Department of Surgery, University of California San Francisco, San Francisco, CA, USA.

Konstantinos Votanopoulos (K)

Department of Surgery, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Edward A Levine (EA)

Department of Surgery, Wake Forest School of Medicine, Winston-Salem, NC, USA.

George Poultsides (G)

Department of Surgery, Stanford Medical Center, Stanford, CA, USA.

Colleen M Kiernan (CM)

Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA. colleen.m.kiernan@vumc.org.

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