Unexplained recurrent miscarriages: predictive value of immune biomarkers and immunomodulatory therapies for live birth

2021 ◽  
Author(s):  
Kamila Kolanska ◽  
Yohann Dabi ◽  
Agnès Dechartres ◽  
Jonathan Cohen ◽  
Yasmine Ben Kraiem ◽  
...  
Keyword(s):  
Live Birth ◽  
Predictive Value ◽  
Recurrent Miscarriages ◽  
Immune Biomarkers ◽  
Immunomodulatory Therapies

Tumor-associated immune cells and progression-free survival in advanced endometrial cancer (EC), results from the PHAEDRA trial (ANZGOG 1601).

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5584-5584
Author(s):  
Deborah Smith ◽  
Kristy Robledo ◽  
Sonia Yip ◽  
Michelle Cummins ◽  
Peey-Sei Kok ◽  
...  
Keyword(s):  
Immune Cells ◽  
Predictive Value ◽  
Tumor Response ◽  
External Validation ◽  
Prognostic Significance ◽  
Progression Free Survival ◽  
Immune Biomarkers ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
The Individual

5584 Background: Activity of durvalumab in patients with deficient mismatch repair (dMMR) advanced endometrial carcinoma (EC) was confirmed in the PHAEDRA trial (ANZGOG 1601). This study investigated the association between immune biomarkers and clinical outcomes in PHAEDRA. Methods: Formalin-fixed paraffin embedded sections immunohistochemically stained for PD-L1 using the Ventana platform, were with matched H&E slides scored independently by two pathologists according to the Ventana PD-L1 (SP263) algorithm for urothelial carcinoma (UC). Immune biomarkers assessed were PD-L1 staining of tumor cells (TCP) and immune cells (IC), and presence of tumor-associated immune cells (ICP). Results: Sixty-seven of the 71 patients had sufficient tumor for PD-L1 testing. AUC were 0.667, 0.726 and 0.644 for TCP, ICP and IC, respectively for predicting tumor response. Optimal cutpoints were TCP≥1%, ICP≥10% and IC≥35%. ICP≥10% achieved the highest sensitivity (53%) and specificity (82%) of the individual cutpoints. The optimal cutpoint algorithm was able to identify patients who would not respond, (sensitivity 88%, negative predictive value 92%), but had low specificity (48%) and positive predictive value (37%). Differences in PFS were found using ICP≥10% (logrank p = 0.01), compared to TCP (p = 0.25), IC (p = 0.48) and the UC algorithm (p = 0.08) (Figure 1). PFS was shorter in patients with pMMR than dMMR after adjusting for ICP (HR 2.99, 95%CI: 1.61-5.57, p < 0.001). Adjustment for MMR reduced the prognostic significance of ICP≥10% for PFS (HR 0.59, 95% CI: 0.28-1.23, p = 0.16). For OS, differences were seen for the UC algorithm (p = 0.02), but not ICP (p = 0.07), TCP (p = 0.18) or IC (p = 0.23). Similarly to PFS, adjustment for MMR reduced the prognostic significance of the UC algorithm for OS (HR: 0.53, 95% CI: 0.25-1.12, p = 0.10). Conclusions: In this exploratory analysis, ICP was more closely associated with tumor response and PFS than TCP or IC. ICP alone was better than the UC algorithm for predicting PFS. The optimum cutpoint algorithm was promising for identifying non-responders, but requires external validation. Clinical trial information: ACTRN12617000106336.

The predictive value of anti-Müllerian hormone for natural conception leading to live birth in subfertile couples.

2021 ◽  
Author(s):  
Kien Nguyen Dang ◽  
Sean O'Leary ◽  
Moustafa Abdelhafez Gadalla ◽  
Bronnie Roberts ◽  
Helen Alvino ◽  
...  
Keyword(s):  
Live Birth ◽  
Predictive Value ◽  
Natural Conception

scholarly journals Predictive value of hormonal parameters for live birth in women with unexplained infertility and male infertility

2013 ◽  
Vol 11 (1) ◽  
pp. 61 ◽  
Author(s):  
Tiina Murto ◽  
Kerstin Bjuresten ◽  
Britt-Marie Landgren ◽  
Anneli Stavreus-Evers
Keyword(s):  
Male Infertility ◽  
Live Birth ◽  
Predictive Value ◽  
Unexplained Infertility

scholarly journals Predictive value of live birth rate based on different intrauterine adhesion evaluation systems following TCRA

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Mingzhu Cao ◽  
Yingying Pan ◽  
Qingyan Zhang ◽  
Danming You ◽  
Shuying Feng ◽  
...  
Keyword(s):  
Live Birth ◽  
Predictive Value ◽  
Birth Rate ◽  
Correlation Coefficients ◽  
Scoring Systems ◽  
Live Birth Rate ◽  
Roc Curves ◽  
Evaluation Systems ◽  
Intrauterine Adhesion ◽  
Transcervical Resection

Abstract Objective The aim of this study was to assess the predictive value of five different intrauterine adhesion (IUA) evaluation systems for live birth rate following transcervical resection of adhesion (TCRA). Method This retrospective study included 128 women with IUA who desired for spontaneous conception after TCRA. All the patients were retrospectively scored by the American Fertility Society (AFS) classification, European Society of Gynecological Endoscopy (ESGE) classification, March’s classification (March), Nasr classification (Nasr) and Chinese IUA diagnosis classification criteria (Chinese). The predictive value of these evaluation systems was determined by receiver operating characteristic (ROC) curves and area under a ROC curve (AUC). Results The correlation coefficients of AFS, ESGE, March, Nasr and Chinese classification and the live birth rate were 0.313, 0.313, 0.288, 0.380, and 0.336, respectively. Among women with hypomenorrhea and amenorrhea, as well as women with no infertility, the severities determined by all five evaluation systems were correlated with live birth rate (P <  0.001). All five scoring systems were efficient to predict live birth rate. Among them, Nasr classification showed the highest AUC (0.748) with the best predictive value. Multivariate logistic regression analyses showed that Nasr classification had the highest OR (OR, 6.523; 95% CI, 2.612, 18.263). And, Nasr’s classification system also showed highest sensitivity (81.8%) and negative predictive value (96.7%) when divide the system into mild IUA vs. moderate and severe IUA. Conclusion AFS, ESGE, March, Nasr and Chinese classification were demonstrated to be capable of predicting live birth following TCRA although the predictive capacities might be limited, and Nasr classification showed the highest predictive value of live birth.

scholarly journals Predictive Value of Live Birth Rate Based on Different Intrauterine Adhesion Evaluation Systems Following

2020 ◽  
Author(s):  
Mingzhu Cao ◽  
Yingying Pan ◽  
Qingyan Zhang ◽  
Danming You ◽  
Shuying Feng ◽  
...  
Keyword(s):  
Live Birth ◽  
Predictive Value ◽  
Birth Rate ◽  
Correlation Coefficients ◽  
Scoring Systems ◽  
Live Birth Rate ◽  
Roc Curves ◽  
Evaluation Systems ◽  
Intrauterine Adhesion ◽  
Transcervical Resection

Abstract Objective: The aim of this study was to assess the predictive value of five different intrauterine adhesion (IUA) evaluation systems for live birth rate following transcervical resection of adhesion (TCRA).Method: This retrospective study included 128 women with IUA who desired for spontaneous conception after TCRA. All the patients were retrospectively scored by the American Fertility Society (AFS) classification, European Society of Gynecological Endoscopy (ESGE) classification, March’s classification (March), Nasr’s classification (Nasr) and Chinese IUA diagnosis classification criteria (Chinese). The predictive value of these evaluation systems was determined by receiver operating characteristic (ROC) curves and area under a ROC curve (AUC).Results: The correlation coefficients of AFS, ESGE, March, Nasr and Chinese classification and the live birth rate were 0.282, 0.324, 0.260, 0.418, 0.364, respectively. All five scoring systems were efficient to predict live birth rate. Among them, Nasr’s classification showed the highest AUC (0.748) with the best predictive value.Conclusion: AFS, ESGE, March, Nasr and Chinese classification were demonstrated to be capable of predicting live birth following TCRA, and Nasr’s classification showed the highest predictive value of live birth.

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