Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sophie H. van Olphen is active.

Publication


Featured researches published by Sophie H. van Olphen.


The American Journal of Gastroenterology | 2015

SOX2 as a novel marker to predict neoplastic progression in Barrett's esophagus

Sophie H. van Olphen; Katharina Biermann; Manon Spaander; Florine Kastelein; Ewout W. Steyerberg; Hans Stoop; Marco J. Bruno; Leendert Looijenga

OBJECTIVES:The value of Barrett’s esophagus (BE) surveillance based on the histological diagnosis of low-grade dysplasia (LGD) remains debated given the lack of adequate risk stratification. The aim of this study was to evaluate the predictive value (PV) of SOX2 expression for neoplastic progression in BE patients.METHODS:We conducted a case–control study within a prospective cohort of 720 BE patients. Patients with neoplastic progression, defined as the development of high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC), were classified as cases and patients without neoplastic progression were classified as controls. SOX2 expression was determined by immunohistochemistry in more than 12,000 biopsies from 635 patients; these results were combined with our previous p53 immunohistochemical data.RESULTS:Nondysplastic BE showed homogeneous nuclear staining for SOX2, whereas SOX2 was progressively lost in dysplastic BE. Loss of SOX2 was seen in only 2% of biopsy series without dysplasia, in contrast to 28% in LGD and 67% in HGD/EAC. Loss of SOX2 expression was associated with an increased risk of neoplastic progression in BE patients after adjusting for gender, age, BE length, and esophagitis (adjusted relative risk 4.8; 95% CI 3.2–7.0). The positive PV for neoplastic progression increased from 16% with LGD alone to 56% with concurrent loss of SOX2 and aberrant p53 expression.CONCLUSIONS:SOX2 expression is lost during transition from nondysplastic BE to HGD/EAC, and it is associated with an increased risk of neoplastic progression. The highest PV is achieved by concurrent loss of SOX2 and aberrant p53 expression in BE patients with LGD. The use of these markers has the potential to significantly improve risk stratification of Barrett surveillance.


Annals of Surgery | 2017

P53 and SOX2 Protein Expression Predicts Esophageal Adenocarcinoma in Response to Neoadjuvant Chemoradiotherapy

Sophie H. van Olphen; Katharina Biermann; Joel Shapiro; Bas P. L. Wijnhoven; Eelke L. Toxopeus; Ate van der Gaast; Hans Stoop; J. Jan B. van Lanschot; Manon Spaander; Marco J. Bruno; Leendert Looijenga

OBJECTIVE The aim of the study was to investigate the association between p53, SOX2, and CD44 protein expression and tumor response, and to validate potential predictive biomarker(s) in an independent cohort. BACKGROUND Neoadjuvant chemoradiotherapy (nCRT) followed by surgery has become a standard of care for esophageal adenocarcinoma (EAC). However, the response to nCRT is highly variable among patients. METHODS EAC patients who underwent nCRT and surgery, between January 2003 and December 2014 at the Erasmus University Medical Center, were included and divided into a primary (n = 77) and a validation cohort (n = 70). P53, SOX2, and CD44 expression was detected by immunohistochemistry in pretreatment tumor biopsies, and scored independently by 2 investigators. Response to nCRT was assessed based on tumor regression grade (TRG) in the resection specimen. RESULTS Forty-one (53%) patients in the primary cohort and 33 (47%) patients in the validation cohort showed major response (TRG1 or TRG2) in the resection specimen. Aberrant p53 and absence of SOX2 were associated with major response in the primary cohort: adjusted odds ratio (OR) 6.3 [95% confidence interval (CI), 1.3-30.1) and adjusted OR 4.1 (95% CI, 1.4-12.4), respectively. The same was true for the validation cohort (p53: adjusted OR 8.6; 95% CI, 0.93-80.9 and SOX2: adjusted OR 6.1; 95% CI, 1.6-23.4). The highest probability of a major response was seen in patients with concurrent aberrant p53 and absence of SOX2 expression, with an OR of 6.7 (95% CI, 2.1-21.4) and 6.2 (95% CI, 1.8-21.2) in the primary and validation cohort. CONCLUSIONS Pattern of p53 and particularly SOX2 protein expression in EAC predicts response to nCRT. These biomarkers may help to individualize treatment in EAC patients.Objective: The aim of the study was to investigate the association between p53, SOX2, and CD44 protein expression and tumor response, and to validate potential predictive biomarker(s) in an independent cohort. Background: Neoadjuvant chemoradiotherapy (nCRT) followed by surgery has become a standard of care for esophageal adenocarcinoma (EAC). However, the response to nCRT is highly variable among patients. Methods: EAC patients who underwent nCRT and surgery, between January 2003 and December 2014 at the Erasmus University Medical Center, were included and divided into a primary (n = 77) and a validation cohort (n = 70). P53, SOX2, and CD44 expression was detected by immunohistochemistry in pretreatment tumor biopsies, and scored independently by 2 investigators. Response to nCRT was assessed based on tumor regression grade (TRG) in the resection specimen. Results: Forty-one (53%) patients in the primary cohort and 33 (47%) patients in the validation cohort showed major response (TRG1 or TRG2) in the resection specimen. Aberrant p53 and absence of SOX2 were associated with major response in the primary cohort: adjusted odds ratio (OR) 6.3 [95% confidence interval (CI), 1.3–30.1) and adjusted OR 4.1 (95% CI, 1.4–12.4), respectively. The same was true for the validation cohort (p53: adjusted OR 8.6; 95% CI, 0.93–80.9 and SOX2: adjusted OR 6.1; 95% CI, 1.6–23.4). The highest probability of a major response was seen in patients with concurrent aberrant p53 and absence of SOX2 expression, with an OR of 6.7 (95% CI, 2.1–21.4) and 6.2 (95% CI, 1.8–21.2) in the primary and validation cohort. Conclusions: Pattern of p53 and particularly SOX2 protein expression in EAC predicts response to nCRT. These biomarkers may help to individualize treatment in EAC patients.


Clinical Gastroenterology and Hepatology | 2018

Lower Annual rate of Progression of Short-segment vs Long-segment Barrett’s Esophagus to Esophageal Adenocarcinoma

Nour Hamade; Sreekar Vennelaganti; Sravanthi Parasa; Prashanth Vennalaganti; Srinivas Gaddam; Manon Spaander; Sophie H. van Olphen; Prashanthi N. Thota; Kevin F. Kennedy; Marco J. Bruno; John J. Vargo; Sharad C. Mathur; Brooks D. Cash; Richard E. Sampliner; Neil Gupta; Gary W. Falk; Ajay Bansal; Patrick E. Young; David A. Lieberman; Prateek Sharma

BACKGROUND & AIMS: European guidelines recommend different surveillance intervals of non‐dysplastic Barretts esophagus (NDBE) based on segment length, as opposed to guidelines in the United States, which do recommend surveillance intervals based on BE length. We studied rates of progression of NDBE to high‐grade dysplasia (HGD) or esophageal adenocarcinoma (EAC) in patients with short‐segment BE using the definition of BE in the latest guidelines (length ≥1 cm). METHODS: We collected demographic, clinical, endoscopy, and histopathology data from 1883 patients with endoscopic evidence of NDBE (mean age, 57.3 years; 83.5% male; 88.1% Caucasians) seen at 7 tertiary referral centers. Patients were followed for a median 6.4 years. Cases of dysplasia or EAC detected within 1 year of index endoscopy were considered prevalent and were excluded. Unadjusted rates of progression to HGD or EAC were compared between patients with short (≥1 and <3) and long (≥3) BE lengths using log‐rank tests. A subgroup analysis was performed on patients with a documented Prague C&M classification. We used a multivariable proportional hazards model to evaluate the association between BE length and progression. Adjusted hazards ratios were calculated after adjusting for variables associated with progression. RESULTS: We found 822 patients to have a short‐segment BE (SSBE) and 1061 to have long segment BE (LSBE). We found patients with SSBE to have a significantly lower annual rate of progression to EAC (0.07%) than of patients with LSBE (0.25%) (P = .001). For the combined endpoint of HGD or EAC, annual progression rates were significantly lower among patients with SSBE (0.29%) compared to compared to LSBE (0.91%) (P < .001). This effect persisted in multivariable analysis (hazard ratio, 0.32; 95% CI, 0.18–0.57; P < .001). CONCLUSION: We analyzed progression of BE (length ≥1 cm) to HGD or EAC in a large cohort of patients seen at multiple centers and followed for a median 6.4 years. We found a lower annual rate of progression of SSBE to EAC (0.07%/year) than of LSBE (0.25%/year). We propose lengthening current surveillance intervals for patients with SSBE.


Medicine | 2016

Value of cyclin A immunohistochemistry for cancer risk stratification in Barrett esophagus surveillance A multicenter case-control study

Sophie H. van Olphen; Fiebo J.C. ten Kate; Michail Doukas; Florine Kastelein; Ewout W. Steyerberg; Hans Stoop; Manon Spaander; Leendert Looijenga; Marco J. Bruno; Katharina Biermann

AbstractThe value of endoscopic Barrett esophagus (BE) surveillance based on histological diagnosis of low-grade dysplasia (LGD) remains debated given the lack of adequate risk stratification. The aim of this study was to evaluate the predictive value of cyclin A expression and to combine these results with our previously reported immunohistochemical p53, AMACR, and SOX2 data, to identify a panel of biomarkers predicting neoplastic progression in BE.We conducted a case–control study within a prospective cohort of 720 BE patients. BE patients who progressed to high-grade dysplasia (HGD, n = 37) or esophageal adenocarcinoma (EAC, n = 13), defined as neoplastic progression, were classified as cases and patients without neoplastic progression were classified as controls (n = 575). Cyclin A expression was determined by immunohistochemistry in all 625 patients; these results were combined with the histological diagnosis and our previous p53, AMACR, and SOX2 data in loglinear regression models. Differences in discriminatory ability were quantified as changes in area under the ROC curve (AUC) for predicting neoplastic progression.Cyclin A surface positivity significantly increased throughout the metaplasia–dysplasia–carcinoma sequences and was seen in 10% (107/1050) of biopsy series without dysplasia, 33% (109/335) in LGD, and 69% (34/50) in HGD/EAC. Positive cyclin A expression was associated with an increased risk of neoplastic progression (adjusted relative risk (RRa) 2.4; 95% CI: 1.7–3.4). Increases in AUC were substantial for P53 (+0.05), smaller for SOX2 (+0.014), minor for cyclin A (+0.003), and none for AMARC (0.00).Cyclin A immunopositivity was associated with an increased progression risk in BE patients. However, compared to p53 and SOX2, the incremental value of cyclin A was limited. The use of biomarkers has the potential to significantly improve risk stratification in BE.


Gastroenterology | 2015

Sa1926 SOX2 and p53 Protein Expression Predicts Response to Preoperative Chemoradiotherapy in Patients With Esophageal Adenocarcinoma

Sophie H. van Olphen; Katharina Biermann; Bas P. L. Wijnhoven; Manon Spaander; Ate van der Gaast; Jan J. B. van Lanschot; Leendert Looijenga; Marco J. Bruno

Objective Preoperative chemoradiotherapy has recently become common practice in treatment of esophageal cancer with a gain in 5-year survival of 10-15%. However, a significant proportion of patients do not respond well and experiencing unnecessary severe side-effects. Accurate risk-stratification of patients using informative biomarkers before therapy may help to avoid unnecessary morbidity due to ineffective treatment. The aim of this study was to investigate the correlation between the expression of SOX2 and P53 in pre-treatment tumor biopsies and grade of pathological tumor response in resected specimen of patients with esophageal adenocarcinoma (EAC) treated with neoadjuvant chemoradiotherapy (nCRT). Methods All EAC patients who received nCRT according to the CROSS regimen followed by esophagectomy, between January 2003 and July 2011 at the Erasmus University Medical Center, were included. SOX2 and P53 protein expression was visualized by immunohistochemistry on all pre-treatment tumor biopsies and scored independently by two investigators who were blinded for clinical outcome. Aberrant expression was defined as negative expression of SOX2 and overexpression or complete loss of P53 expression. The overall Tumor Regression Grade (TRG) was evaluated using the modified Mandard scoring system. Patients with TRG 1 or TRG 2 were classified as major responders (ie, 10% of tumor cells remaining). Results In total 77 patients were included. Forty (53%) patients had a major pathological response (TRG 1-2) and 37 (47%) a minor response (TRG 3-4). In pre-treatment biopsies aberrant SOX2 and P53 expression was seen in 40% (31/77) and 83% (64/77), respectively. A major response was significantly associated with an aberrant SOX2 expression (OR 3.9, 95% CI: 1.5 10.2, p=0.005) and aberrant p53 expression (OR 4.5, 95% CI: 1.15 18.2, p=0.031). Aberrant expression of both biomarkers increased the probability of a major response in the individual patient (OR of 5.6; 95% CI: 2.1 14.9, p= 0.001), with a sensitivity of 68%, specificity of 73% and a positive predictive value of 73%. Conclusion SOX2 and P53 expression in the pre-treatment biopsies predict response to nCRT in patients with EAC. These biomarkers might help to identify patients who are likely to benefit most from this multimodality treatment.


Gastroenterology | 2017

Neoplastic Progression in Patients with Short Segment Barrett's Esophagus: Long-Term Follow-up of Over a 1000 Patients in a Multi-Center Consortium

Sreekar Vennelaganti; Sravanthi Parasa; Prashanth Vennalaganti; Srinivas Gaddam; Manon Spaander; Sophie H. van Olphen; Prashanthi N. Thota; Kevin F. Kennedy; Fouad J. Moawad; Marco J. Bruno; John J. Vargo; Sharad C. Mathur; Brooks D. Cash; Richard E. Sampliner; Neil Gupta; Gary W. Falk; Ajay Bansal; Patrick E. Young; David A. Lieberman; Prateek Sharma


Gastroenterology | 2016

Sa1250 Improved Prediction of Neoplastic Progression in Patients With Barrett's Oesophagus Using Specific Histological Criteria for Low Grade Dysplasia

Fiebo J. ten Kate; Daan Nieboer; Sophie H. van Olphen; Fiebo T. Ten Kate; Michael Doukas; Marco J. Bruno; Manon Spaander; Leendert Looijenga; Katharina Biermann


Gastroenterology | 2014

Sa1855 Cost-Effectiveness of Barrett's Esophagus Surveillance in a Prospective Followed Cohort in the Netherlands

Sophie H. van Olphen; Florine Kastelein; Ewout W. Steyerberg; Caspar W. N. Looman; Manon Spaander; Marco J. Bruno; Esther W. Bekker-de Grob


Gastroenterology | 2014

706 SOX2 As a Novel Marker to Predict Neoplastic Progression in Barrett's Esophagus

Sophie H. van Olphen; Katharina Biermann; Florine Kastelein; Bettina E. Hansen; Hans Stoop; Manon Spaander; Leendert Looijenga; Marco J. Bruno


Gastroenterology | 2013

Sa1987 AMACR Immunohistochemistry for Prediction of Neoplastic Progression in Patients With Barrett's Esophagus: Results From a Large Multicentre Prospective Cohort

Florine Kastelein; Katharina Biermann; Sophie H. van Olphen; Ewout W. Steyerberg; Leendert Looijenga; Ernst J. Kuipers; Manon Spaander; Marco J. Bruno

Collaboration


Dive into the Sophie H. van Olphen's collaboration.

Top Co-Authors

Avatar

Manon Spaander

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Katharina Biermann

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar

Leendert Looijenga

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar

Florine Kastelein

Erasmus University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Ewout W. Steyerberg

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar

Hans Stoop

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Brooks D. Cash

Walter Reed National Military Medical Center

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge