Literature DB >> 24756370

Molecular biomarkers of residual disease after surgical debulking of high-grade serous ovarian cancer.

Susan L Tucker1, Kshipra Gharpure1, Shelley M Herbrich1, Anna K Unruh1, Alpa M Nick1, Erin K Crane1, Robert L Coleman1, Jamie Guenthoer1, Heather J Dalton1, Sherry Y Wu1, Rajesha Rupaimoole1, Gabriel Lopez-Berestein2, Bulent Ozpolat1, Cristina Ivan1, Wei Hu1, Keith A Baggerly1, Anil K Sood3.   

Abstract

PURPOSE: Residual disease following primary cytoreduction is associated with adverse overall survival in patients with epithelial ovarian cancer. Accurate identification of patients at high risk of residual disease has been elusive, lacking external validity and prompting many to undergo unnecessary surgical exploration. Our goal was to identify and validate molecular markers associated with high rates of residual disease.
METHODS: We interrogated two publicly available datasets from chemonaïve primary high-grade serous ovarian tumors for genes overexpressed in patients with residual disease and significant at a 10% false discovery rate (FDR) in both datasets. We selected genes with wide dynamic range for validation in an independent cohort using quantitative RT-PCR to assay gene expression, followed by blinded prediction of a patient subset at high risk for residual disease. Predictive success was evaluated using a one-sided Fisher exact test.
RESULTS: Forty-seven probe sets met the 10% FDR criterion in both datasets. These included FABP4 and ADH1B, which tracked tightly, showed dynamic ranges >16-fold and had high expression levels associated with increased incidence of residual disease. In the validation cohort (n = 139), FABP4 and ADH1B were again highly correlated. Using the top quartile of FABP4 PCR values as a prespecified threshold, we found 30 of 35 cases of residual disease in the predicted high-risk group (positive predictive value = 86%) and 54 of 104 among the remaining patients (P = 0.0002; OR, 5.5).
CONCLUSION: High FABP4 and ADH1B expression is associated with significantly higher risk of residual disease in high-grade serous ovarian cancer. Patients with high tumoral levels of these genes may be candidates for neoadjuvant chemotherapy. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24756370      PMCID: PMC4062703          DOI: 10.1158/1078-0432.CCR-14-0445

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


  25 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  A gene expression bar code for microarray data.

Authors:  Michael J Zilliox; Rafael A Irizarry
Journal:  Nat Methods       Date:  2007-09-30       Impact factor: 28.547

3.  Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth.

Authors:  Kristin M Nieman; Hilary A Kenny; Carla V Penicka; Andras Ladanyi; Rebecca Buell-Gutbrod; Marion R Zillhardt; Iris L Romero; Mark S Carey; Gordon B Mills; Gökhan S Hotamisligil; S Diane Yamada; Marcus E Peter; Katja Gwin; Ernst Lengyel
Journal:  Nat Med       Date:  2011-10-30       Impact factor: 53.440

Review 4.  Tackling the widespread and critical impact of batch effects in high-throughput data.

Authors:  Jeffrey T Leek; Robert B Scharpf; Héctor Corrada Bravo; David Simcha; Benjamin Langmead; W Evan Johnson; Donald Geman; Keith Baggerly; Rafael A Irizarry
Journal:  Nat Rev Genet       Date:  2010-09-14       Impact factor: 53.242

5.  Changes in serum CA-125 can predict optimal cytoreduction to no gross residual disease in patients with advanced stage ovarian cancer treated with neoadjuvant chemotherapy.

Authors:  Noah Rodriguez; J Alejandro Rauh-Hain; Melina Shoni; Ross S Berkowitz; Michael G Muto; Colleen Feltmate; John O Schorge; Marcela G Del Carmen; Ursula A Matulonis; Neil S Horowitz
Journal:  Gynecol Oncol       Date:  2012-02-12       Impact factor: 5.482

6.  Multi-institutional reciprocal validation study of computed tomography predictors of suboptimal primary cytoreduction in patients with advanced ovarian cancer.

Authors:  Allison E Axtell; Margaret H Lee; Robert E Bristow; Sean C Dowdy; William A Cliby; Steven Raman; John P Weaver; Mojan Gabbay; Michael Ngo; Scott Lentz; Ilana Cass; Andrew J Li; Beth Y Karlan; Christine H Holschneider
Journal:  J Clin Oncol       Date:  2007-02-01       Impact factor: 44.544

7.  Can the preoperative HE4 level predict optimal cytoreduction in patients with advanced ovarian carcinoma?

Authors:  Roberto Angioli; Francesco Plotti; Stella Capriglione; Alessia Aloisi; Roberto Montera; Daniela Luvero; Andrea Miranda; Ester Valentina Cafà; Patrizio Damiani; Pierluigi Benedetti-Panici
Journal:  Gynecol Oncol       Date:  2012-12-07       Impact factor: 5.482

8.  Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d'Investigateurs Nationaux Pour les Etudes des Cancers de l'Ovaire (GINECO).

Authors:  Andreas du Bois; Alexander Reuss; Eric Pujade-Lauraine; Philipp Harter; Isabelle Ray-Coquard; Jacobus Pfisterer
Journal:  Cancer       Date:  2009-03-15       Impact factor: 6.860

9.  A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer.

Authors:  Tomas Bonome; Douglas A Levine; Joanna Shih; Mike Randonovich; Cindy A Pise-Masison; Faina Bogomolniy; Laurent Ozbun; John Brady; J Carl Barrett; Jeff Boyd; Michael J Birrer
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

10.  Integrated genomic analyses of ovarian carcinoma.

Authors: 
Journal:  Nature       Date:  2011-06-29       Impact factor: 49.962

View more
  31 in total

Review 1.  ADH1B: From alcoholism, natural selection, and cancer to the human phenome.

Authors:  Renato Polimanti; Joel Gelernter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-03-27       Impact factor: 3.568

2.  Pooled Clustering of High-Grade Serous Ovarian Cancer Gene Expression Leads to Novel Consensus Subtypes Associated with Survival and Surgical Outcomes.

Authors:  Chen Wang; Sebastian M Armasu; Kimberly R Kalli; Matthew J Maurer; Ethan P Heinzen; Gary L Keeney; William A Cliby; Ann L Oberg; Scott H Kaufmann; Ellen L Goode
Journal:  Clin Cancer Res       Date:  2017-03-09       Impact factor: 12.531

Review 3.  A framework for a personalized surgical approach to ovarian cancer.

Authors:  Alpa M Nick; Robert L Coleman; Pedro T Ramirez; Anil K Sood
Journal:  Nat Rev Clin Oncol       Date:  2015-02-24       Impact factor: 66.675

4.  A multicenter assessment of the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease at primary debulking for advanced epithelial ovarian cancer.

Authors:  Rudy S Suidan; Pedro T Ramirez; Debra M Sarasohn; Jerrold B Teitcher; Revathy B Iyer; Qin Zhou; Alexia Iasonos; John Denesopolis; Oliver Zivanovic; Kara C Long Roche; Yukio Sonoda; Robert L Coleman; Nadeem R Abu-Rustum; Hedvig Hricak; Dennis S Chi
Journal:  Gynecol Oncol       Date:  2017-02-14       Impact factor: 5.482

5.  Suboptimal cytoreduction in ovarian carcinoma is associated with molecular pathways characteristic of increased stromal activation.

Authors:  Zhenqiu Liu; Jessica A Beach; Hasmik Agadjanian; Dongyu Jia; Paul-Joseph Aspuria; Beth Y Karlan; Sandra Orsulic
Journal:  Gynecol Oncol       Date:  2015-09-06       Impact factor: 5.482

6.  IPI59: An Actionable Biomarker to Improve Treatment Response in Serous Ovarian Carcinoma Patients.

Authors:  J Choi; S Ye; K H Eng; K Korthauer; W H Bradley; J S Rader; C Kendziorski
Journal:  Stat Biosci       Date:  2016-03-29

7.  A Solution to the Dilution: The Role for Biomarkers in Advanced Ovarian Cancer.

Authors:  Katelyn F Handley; Anil K Sood
Journal:  Clin Cancer Res       Date:  2019-10-31       Impact factor: 12.531

8.  Does a standardized preoperative algorithm of clinical data improve outcomes in patients with ovarian cancer? A quality improvement project.

Authors:  Monjri M Shah; Charles A Leath; Laura Rebecca Daily; Gerald McGwin; Jacob M Estes; Ronald D Alvarez; John Michael Straughn
Journal:  Int J Gynecol Cancer       Date:  2015-06       Impact factor: 3.437

Review 9.  Exploring the clinical value of tumor microenvironment in platinum-resistant ovarian cancer.

Authors:  Alia Ghoneum; Sameh Almousa; Bailey Warren; Ammar Yasser Abdulfattah; Junjun Shu; Hebatullah Abouelfadl; Daniela Gonzalez; Christopher Livingston; Neveen Said
Journal:  Semin Cancer Biol       Date:  2021-01-18       Impact factor: 15.707

10.  Extensive three-dimensional intratumor proteomic heterogeneity revealed by multiregion sampling in high-grade serous ovarian tumor specimens.

Authors:  Allison L Hunt; Nicholas W Bateman; Waleed Barakat; Sasha Makohon-Moore; Brian L Hood; Kelly A Conrads; Ming Zhou; Valerie Calvert; Mariaelena Pierobon; Jeremy Loffredo; Tracy J Litzi; Julie Oliver; Dave Mitchell; Glenn Gist; Christine Rojas; Brian Blanton; Emma L Robinson; Kunle Odunsi; Anil K Sood; Yovanni Casablanca; Kathleen M Darcy; Craig D Shriver; Emanuel F Petricoin; Uma N M Rao; G Larry Maxwell; Thomas P Conrads
Journal:  iScience       Date:  2021-06-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.