Abstract
Early pregnancy failure is the most common complication of pregnancy, and 1–2% of all pregnancies will be ectopic. As one of the leading causes of maternal morbidity and mortality, diagnosing ectopic pregnancy and determining the fate of a pregnancy of unknown location are of great clinical concern. Several serum and plasma biomarkers for ectopic pregnancy have been investigated independently and in combination. The following is a review of the state of biomarker discovery and development for ectopic pregnancy and pregnancy of unknown location.
Keywords: ectopic pregnancy, biomarker, pregnancy of unknown location, proteomics
Introduction
Symptoms of vaginal bleeding or abdominal pain can occur in 25–30% of viable pregnancies; however this clinical presentation also raises suspicion for early pregnancy failure (1). Early pregnancy failure is the most common complication of pregnancy, as roughly 25% of recognized pregnancies end in miscarriage and 1–2% will be ectopic pregnancies. Recent epidemiologic studies suggest that 6% of maternal deaths in the US are attributable to ectopic pregnancies (2). As one of the leading causes of morbidity and mortality worldwide, accurate and expeditious diagnosis of ectopic pregnancy is of particular concern. Of note, the diagnosis and management of women at risk for early pregnancy failure has not changed dramatically in decades. Novel biomarkers could change this paradigm.
Current standard of care for the diagnosis of ectopic pregnancy includes serial serum human chorionic gonadotropin (hCG) levels and pelvic ultrasound (3–8). Unfortunately, ultrasound at first presentation is inconclusive in up to 40% of women likely because an pregnancy has not progressed enough to be visualized by ultrasound, or it has failed before a gestational sac has formed (or has collapsed). Thus, ultrasound cannot determine location or viability of a gestation in a substantial number of women with an early pregnancy.
Diagnosis of a women who initially present with a pregnancy of unknown location (PUL) (9–12), requires multiple visits for blood tests, ultrasounds, and possibly surgical procedures before a definitive diagnosis can be made. In the time required to make a diagnosis an ectopic pregnancy could rupture, leading to impaired future fertility and potentially life-threatening intra-abdominal hemorrhage. Not only is early diagnosis of ectopic pregnancy essential to avoid the added morbidity of delay in treatment, but also, differentiation of this state from that of an abnormal intrauterine gestation is crucial since optimal treatment strategies differ, and could impact management of future pregnancies(10). A biomarker may be able to aid in determining location or viability of an early gestation, or may aid in determining which patient is best treated urgently, surgically, medically or expectantly. As such, a number of investigators have focused efforts on the use of novel serum biomarkers for modeling early pregnancy outcomes.
There are numerous factors that are involved in the fate of a first trimester pregnancy, but due to a paucity of animal models of ectopic pregnancy, the relationships between these factors are incompletely understood (13). In developing a predictive model for early pregnancy outcome it is important to consider the implantation environment as well as the embryo itself. Factors can be categorized into subgroups based on physiology and include factors inherent to the embryo, which can be captured by markers of trophoblast function, factors reflective of corpus luteal function, those of endometrial function, and angiogenesis (figure 1). Furthermore, in tubal pregnancies, markers of inflammation, tubal muscle damage, and altered transport have been considered.
Figure 1.

Early Pregnancy Biologic Pathways
When considering biomarkers of EP and PUL, one must consider the characteristics of the ideal biomarker as well as the necessary steps to bring such a tool to the clinical arena. Since the fate of a pregnancy’s location is determined prior to serum hCG detection, the ideal biomarker would be present in the early first trimester potentially before the pregnancy develops to the level of the ultrasound-based hCG discriminatory zone. Furthermore, the ideal marker would be consistent, accurate, inexpensive, and could be used at the point of care. As such, serum biomarkers are of particular interest.
Biomarker development for clinical use is generally divided into four phases: (I) preclinical exploration, (II) clinical assay development, (III) assessment of predictive ability in a retrospective cohort or case control study, and finally, (IV) validation in a prospective setting (14–18). The following reviews the most promising biomarkers for EP based on their role in the pathophysiology of abnormal gestation and their current state in biomarker development.
Markers of Trophoblast Function
Human Chorionic Gonadotropin
Human Chorionic Gonadotropin (hCG) is the most widely studied biomarker of early pregnancy outcome, and is the only biomarker that is used routinely in clinical practice. As a single value it is non-diagnostic, however serial serum hCG levels are helpful in identifying patients who require closer surveillance for early pregnancy failure. The expected hCG rise in 48 hours for a viable IUP is at least 53% (19), although a recent study suggests that the optimal accuracy for correctly identifying a viable IUP may require a more conservative threshold of a 35% rise in 48 hours (20). A model incorporating hCG ratio (serum hCG at 48 hours/serum hCG at 0 hours) suggested a ratio<0.21 would predict EP with 91.7% sensitivity and 84.2% specificity in a cohort of patients with pregnancy of unknown location (21). An extension of this model did not validate well in a US population, with low sensitivity for EP (22, 23). Thus, while not sensitive for EP alone, the use of hCG has reached Phase IV of development as a serial marker for diagnostic triage of PUL.
Hyperglycosylated hCG
Hyperglycosylated hCG (hCG-H) is produced by extravillous cytotrophoblasts and is secreted from the time of implantation (24). A single value of hCG-H and proportion of hCG-H/hCG have both been proposed as markers of early pregnancy failure. One study identified a cutpoint of 13ug/L, below which pregnancies were likely to fail, reporting 73% detection and 2.9% false positive rates, corresponding to 73% sensitivity and 98.1% specificity (25). However, this study did not demonstrate the ability of this marker to discriminate between EP and abnormal IUPs. Another study from the same group sought to use a hCG-H/hCG ratio>50% to differentiate viable pregnancies from early pregnancy failure (26). While this cutoff identified all patients with early pregnancy failure, at levels below 50% one could not differentiate viable IUP from pregnancy failure in 35% of patients. As a single marker hCG-H has insufficient accuracy; however, perhaps with validation of other cutpoints this marker may move beyond Phase III of biomarker development.
Activin A
Activin A is a dimeric glycoprotein in the TGF-beta superfamily and a placental product that promotes cytotrophoblast invasion (27); thus, abnormalities in Activin A may be a harbinger of abnormal implantation and viability. A study of patients with PUL found an Activin A level≤0.37ng/mL had 100% sensitivity and 99.6% specificity for the diagnosis of EP (28). In one study Activin A had had 80% sensitivity and 72% specificity as a single marker in a cohort of patients with EP or IUP (29). However, two groups did not find a difference in Activin A levels when including patients with resolving PULs or abnormal IUPs (30, 31). Thus, while initial studies were promising for Activin A as a single marker of extrauterine location, subsequent case-control studies have failed to replicate these findings and Activin A remains in Phase III of development.
Pregnancy-associated plasma protein-A
Pregnancy-associated plasma protein-A (PAPP-A) is also produced by the trophoblast and has been extensively studied as a marker of early pregnancy failure and aneuploidy (32). An early case series of PAPP-A and hCG levels in women with viable IUP, EP, and non-pregnant women suggested that PAPP-A levels were lower in EP compared to viable IUP (33). Since then, PAPP-A has been evaluated in conjunction with other potential markers of abnormal pregnancy. PAPP-A has been assessed as a triple marker test with VEGF and progesterone (34). However, others have found PAPP-A to have 67% accuracy for the diagnosis of EP, but limited utility in a multiple marker setting (29). Neither study considered abnormal IUPs. One study of patients including abnormal IUPs demonstrated PAPP-A levels<14.3ng/mL to have 64.5% sensitivity and 99% specificity for pregnancy failure but stated there was no difference in levels between EPs and abnormal IUPs (35). Two groups confirmed PAPP-A may help identify abnormal pregnancies (36, 37). Thus, data from Phase III of biomarker development suggest a role as a marker of viability, but not extra-uterine location.
Pregnancy-specific beta glycoprotein 1
Pregnancy-specific beta glycoprotein 1 (SP-1) is one the earliest proteins identified in trophoblast cultures and immunohistochemical techniques for biomarker discovery (38, 39), and its potential role in diagnosing ectopic pregnancy was further supported by unbiased proteomic discovery (40). It is thought to be involved in immunomodulation, and low levels are suggestive of EP(41). SP-1 was unable to differentiate EP from abnormal IUP in one study, while another showed only modest discriminatory capacity with 65% sensitivity and 74% specificity at a cutpoint of 103.3ug/mL (29, 42). Further Phase III studies incorporating all relevant outcomes are needed to assess prediction of EP.
Human placental lactogen
Human placental lactogen (hPL), also known as human somatomammotropin, is also produced by the trophoblast and has been studied as a possible marker of abnormal pregnancy. However, two independent investigators found no difference in hPL levels when comparing EPs to abnormal IUPs or viable IUPs, respectively (29, 37). hPL levels were lower in EPs but had strong correlation with hCG, suggesting limited utility as an independent marker of EP (34).
A Disintegrin and Metalloprotease-12
A Disintegrin and Metalloprotease-12 (ADAM-12), is a glycoprotein produced primarily by placental syncytiotrophoblasts and is thought to play a role in syncytial fusion (43). A case control study of patients with EP and viable IUPs demonstrated that a level≤48.49ml/mL was 97% sensitivity and 37% specific for EP, suggesting promising utility as a marker of extra-uterine location. However, ADAM-12 has also been explored as a marker of aneuploidy, and as such, its performance amidst a cohort including abnormal IUPs must be considered (44, 45). Others have attempted to validate ADAM-12 and found that it did not discriminate EP from all other outcomes when including treated persisted PULs, spontaneously resolving PULs, and probable EPs (AUC 0.65, p>0.05) but when restricting the analysis to well defined PUL outcomes, it had slightly better diagnostic potential (AUC 0.66, p<0.05) (46). Further studies are needed to move it to Phase IV of biomarker development, as a single marker or in combination.
Nucleic Acid Markers
Placental mRNAs have altered secretion patterns by extravillous trophoblasts in abnormal pregnancies and thus, have been considered for their diagnostic potential. A recent case-control study of 12 women with EP and 13 women with viable IUP demonstrated that patients with EP have significantly lower hCG and human placental lactogen (hPL) plasma mRNA copy numbers compared to viable IUP (47). Several studies have suggested that placental mRNAs are lower in aneuploid pregnancies, thus levels in women with miscarriage need to be considered (48, 49). Thus, placental mRNAs may be ready for Phase III of biomarker development, particularly as potential markers of viability.
Placental micro-RNAs are 19–25 nucleotide single stranded non-coding RNAs that regulate gene expression and at least 31 micro-RNAs have been associated with pregnancy (50, 51). A study of women with symptomatic PUL found that serum placental miR-323-3p was significantly increased in patients who were ultimately diagnosed as EP compared to viable IUPs and abnormal IUPs; as a single marker it had a 30% sensitivity and 90% specificity for EP (52). While the diagnostic test characteristics of this marker alone are unacceptable for clinical use, in combination with other markers, it may serve as an acceptable marker of extra-uterine location. Further studies are needed to replicate these findings and move this promising marker from Phase III to Phase IV of development.
Markers of Corpus Luteal Function
Progesterone
As a readily available clinical assay, progesterone has been extensively studied as a potential marker of early pregnancy failure and ectopic pregnancy both as a single marker and in combination (29, 30, 34, 37, 42, 52–77). A meta-analysis of 26 studies suggested serum progesterone<5ng/mL had good prediction for non-viable pregnancies, but was unable to differentiate EPs from abnormal IUPs (75). Furthermore, a high progesterone value did not rule out the possibility of an EP. Thus, progesterone can aid in identifying those at risk for EP and is in Phase 4 of development, but its optimal utility for predicting EP will likely be in combination with other markers.
Inhibin A
Inhibin A is a heterodimeric peptide that is predominately secreted by the corpus luteum (78). A small case control study suggested that serum levels of Inhibin A were lower in patients with EP compared to viable IUPs but did not report specific test characteristics (79). Another group characterized Inhibin A performance in a population including EPs, viable IUPs, and various stages of abnormal IUPs and reported that a cutpoint of 50 pg/mL had 100% sensitivity and specificity for EP compared to viable IUPs (80). However, those test characteristics were not maintained when comparing EPs to missed abortions (sensitivity 41% specificity 86%) (80). Inhibin A has been evaluated over a 48-hour period with a reported accuracy of 60% for the diagnosis of EP (31). Another group looked at serum hCG, progesterone, Inhibin A, inhibin pro-alpha C-related immunoreactivity and insulin-like growth factor binding protein-1 (IGFBP-1) in a cohort of 109 patients with PUL and found that Inhibin A levels were significantly lower in resolving PULs, but was unable to discriminate EP from viable IUPs in this cohort (81). In contrast, other have found that Inhibin A had 83% sensitivity and 79% specificity for predicting EP in a cohort of EPs and viable IUPs at cutpoint of 28.67 pg/mL, and had the highest accuracy of any single marker studied (29). Thus, while Inhibin A appears to have promise as a marker of viability and has reached Phase III of biomarker development, conflicting results regarding its utility as a marker of extra-uterine location suggest further studies are needed before it can been be used clinically.
Markers of Angiogenesis
Vascular Endothelial Growth Factor
Vascular endothelial growth factor (VEGF) is an important contributor to the vascular development the feto-placental unit and can be influenced by hypoxia and various cytokines in the embryonic environment (82). It use as a marker of EP was first investigated in a case control study of patients with EP, viable IUP and abnormal IUP, and suggested that levels≥ 200 pg/mL had 60% sensitivity and 90% specificity for predicting EP (83). These findings were corroborated by another case-control study (84). VEGF has been assessed as part of a multiple marker and found that a level ≥ 174.5 pg/mL had 78% sensitivity and 100% specificity for EP(37). Others did not find a difference in VEGF levels amongst EPs, vIUPs, and abnormal IUPs while a third study found VEGF ≥ 28.24pg/mL to have 95% sensitivity and 50% specificity as a single marker (29, 36). VEGF may be a promising marker of extra-uterine location but requires further Phase III and IV development.
Placental like growth factor
Placenta like growth factor (PlGF) is a proangiogenic growth factor that is predominantly produced by trophoblast cells and has been identified at implantation sites (85). A small case series reported that PIGF mRNA expression is lower in trophoblast cells from EP compared to abnormal IUPs and viable IUPs (86). A screening test rule based on PIGF and soluble fms-like tyrosine kinase-1 (sflt-1) levels suggested that a PlGF level greater than 15.73 pg/mL could differentiate viable IUP from nonviable gestations with 86% sensitivity and 67% specificity, but was unable to differentiate EP from abnormal IUP with sufficient accuracy (87). PlGF has yet to be validated in another cohort, and as such remain in Phase III of development.
Markers of Endometrial Function
Leukemic Inhibitory Factor
Leukemia inhibitory factor is a cytokine in the interleukin 6 family that plays a role in inflammation and implantation. Studies of LIF mRNA expression and secretion in tubal stromal cell cultures led to the hypothesis that LIF level would be differential in those with intrauterine processes compared to tubal EPs (88). In a study of 40 patients with diagnoses of EP, IUP, spontaneous abortion and threatened abortion, LIF < 6.2pg/mL had 73% sensitivity and 89% specificity for EP (89). However, attempts at validation of LIF have yielded conflicting results. Two groups found no significant difference in serum LIF levels in patients with EP compared with viable IUP, while another group found increased LIF levels in patients with EP compared with viable IUP (37, 90, 91). Furthermore, LIF levels were undetectable in serum from EP and viable IUP (34). Inconsistency of results limits the role of this marker.
Glycodelin
Glycodelin is a protein found in the endometrium and fallopian tube that is associated with immunomodulation during implantation (92). In a study of 169 women in the first trimester of pregnancy, glycodelin levels were found to be significantly lower in patients with EP compared to incomplete abortion and viable IUPs (93). Three groups looked at the performance of serum glycodelin in a multiple marker setting: two found that levels were significantly lower in patients with EP but underperformed other markers, while another found no difference in levels between EP and abnormal IUP (29, 34, 37). None of these studies examined EP with both viable IUP and abnormal IUP. Thus, as a marker of extra-uterine location, glycodelin warrants further investigation at the Phase III level before prospective studies may be considered.
Mucin-1
Mucin-1 (MUC1) is an epithelial apical surface glycoprotein expressed in human endometrium and fallopian tube epithelium that is involved in blastocyst-endometrial interactions during implantation (94). MUC1 expression in fallopian tube tissue is reduced in EPs compared to pseudo-pregnant and nonpregnant states suggesting a greater receptivity for extra-uterine implantation; however its use as a serum protein biomarker has not yet been explored (Phase I–II) (95–97).
Adrenomedullin
Adrenomedullin is peptide hormone in the calcitonin/calitonin gene-related peptide (CGRP)/amylin family that promotes endometrial angiogenesis. Studies of adrenomedullin expression in fallopian tube tissue suggest that plasma levels are lower in those with EP compared to viable IUP (98). Adrenomedullin expression needs further exploration in the abnormal IUP state, as well as assay development to assess its utility in the clinical setting (Phase I).
Markers of Inflammation and Muscle Damage
Several markers of peritoneal inflammation have been proposed including IL-6, IL8-, IL-10, IL-11, CA-125, and TNF-alpha. One study of 72 women suggested that concentrations of IL-6, IL-8 and TNF-alpha were significantly higher in women with EP compared to both viable IUPs and abnormal IUPs, and reported IL-8>40 pg/ml has 82.4% sensitivity and 81.8% specificity for EP (99). In another study, IL-6 showed no difference between EP and viable IUP and while IL-8 and TNF-alpha were significantly lower in EP compared to viable IUP, their accuracy for EP was less than 60% (29). IL-10 and IL-11 had no significant differences in levels in a cohort of women with EPs and viable IUPs (90). Studies of CA-125 have had conflicting data with some suggesting levels are increased in EP (100), others suggesting decreased levels (42, 101), and some suggesting no difference in both retrospective and prospective settings (102–104). Thus, while inflammatory markers have theoretical promise, the inherent variability in inflammatory response limits the accuracy and consistency needed for clinical use.
Markers of muscle damage including creatine kinase, smooth muscle heavy chain myosin, myoglobin have also been explored for prediction of EP. While some studies have suggested that creatine kinase levels are significantly increased in EP compared to viable IUP, (105–107) it has failed to validate as a marker of EP in subsequent studies (57, 108–112). Both myoglobin and smooth muscle heavy-chain myosin have failed to show differences in serum levels amongst EP compared to other pregnancy outcomes (105). Markers of muscle damage may be more likely to detect impending rupture, as opposed to extrauterine location; thus their use for diagnostic triage in a stable PUL is likely limited.
Markers of Impaired Tubal Transport
Prior tubal disease is a known risk factor for ectopic pregnancy, but exact mechanisms of this predisposition are not fully understood at the molecular level. Alterations in paracrine signaling, abnormal tubal smooth muscle contractility, attenuated cytokine signals, and pathologic angiogenesis are all associated with EP (113). Abnormalities in the endocannibinoid system have also been implicated. Two studies of protein expression in fallopian tubes from women with ectopic pregnancy have suggested that high anandamide levels and reduced receptor expression (CB1) are associated with EP (114, 115). Further preclinical and clinical studies including development of an appropriate assay, are needed (Phase I).
Multiple marker tests
Given the complex processes involved in the establishment and maintenance of a viable pregnancy, it is not surprising that no single marker has been able to consistently predict PUL outcome with sufficient accuracy (Table 1). Thus, prediction modeling has expanded to incorporate various pathways in a multiple marker test (Table 2) (30, 34, 35, 52, 60). While the concept of exploring multiple markers simultaneously is not new, statistical analyses that allow for complex regression modeling have enabled investigators to explore the interactions, or synergies, of a multiple marker test (116). A case control study of 200 patients with EP or viable IUP demonstrated that a four-marker test including Progesterone, VEGF, Inhibin A, and Activin A derived by this methodology could predict EP with 100% accuracy in those with an hCG <1500 mIU/mL (29). Further studies incorporating abnormal IUPs are necessary to fully assess the discriminatory capacity of such a test.
Table 1.
Individual Biomarker Performance for Prediction of EP
| Biomarker | Study | Cut-Point | Sensitivity | Specificity | Phase of Development/Comments | |
|---|---|---|---|---|---|---|
|
| ||||||
|
TROPHOBLAST FUNCTION
| ||||||
| hCG | 48 hour hCG rise | Barnhart ’04, Morse ‘12 | <53% rise | 91.1% | 66.6% | III; insufficient specificity for extra-uterine location |
|
| ||||||
| M1 model | Condous ‘04 | n/a | 91.7% | 84.2% | IV (for failed PUL); not accurate for diagnosis of EP | |
|
| ||||||
| M4 model | Condous ‘07 | n/a | 80.8% | 88.9% | III; did not validate in US population | |
| Barnhart ‘11 | 49.0% | 87.4% | ||||
|
| ||||||
| Activin A | Florio ‘07 | 0.37ng/mL | 100% | 99.6% | III; Conflicting results as marker of location; additional studies needed | |
| Kirk ‘09 | 0.37ng/mL | 93% | 13% | |||
| Rausch ‘11 | 0.38 ng/mL | 80% | 72% | |||
| Warrick ‘12 | 0.26 ng/mL | 59.6% | 69% | |||
|
| ||||||
| PAPP-A | Rausch ‘11 | 0.53 ng/mL | 81% | 54% | III; Promising marker of viability, but not location | |
|
| ||||||
| Dumps ’02, Mueller ’04,* Daponte ’05, Ugurlu ‘09 | Test characteristics report PAPP-A as a marker of viability; characteristics as single marker of EP N/A | |||||
|
| ||||||
| SP1 | Rausch ‘11 | 103.3ug/mL | 65% | 79% | III; Possible marker of location, additional studies needed | |
|
| ||||||
| ADAM-12 | Rausch ‘11 | 48.49 ng/mL | 97% | 37% | III; Additional studies needed including study of abnormal IUP | |
| Horne ‘12 | Not reported: AUCs 0.65-066 | N/A | N/A | |||
|
| ||||||
| Placental mRNA | Takacs ‘12 | N/A | N/A | N/A | III; need assessment in abnormal IUP | |
|
| ||||||
| miRNA 323-3p | Zhao ‘12 | 0.2 (concentration relative to 18S rRNA) | 37% | 90% | III; promising marker of location, but with insufficient sensitivity alone; needs validation | |
|
| ||||||
|
CORPUS LUTEAL FUNCTION
| ||||||
| Progesterone | Mol ‘98 | 20ng/mL | 95% | <40% | IV; Good discrimination for viability, not but location, consider in combination with other markers | |
| Buckley ‘00 | 22ng/mL | 100% | 27% | |||
| Dart ’02 | 5ng/mL | 88% | 40% | |||
| Katsikis ‘06 | 10.75ng/mL | 85% | 85% | |||
| El Bishry ’08 | 16ng/mL | 44% | 60% | |||
| Rausch ‘11 | 13.5 ng/mL | 82% | 70% | |||
| Warrick ’12 | 10ng/mL | 63% | 61% | |||
| Zhao ‘12 | 23ng/mL | 90% | 44% | |||
|
| ||||||
| Inhibin A | Segal ‘08 | 50pg/mL EPv IUP | 100% | 100% | III; promising marker of viability, conflicting data on location, further studies needed with all relevant outcomes | |
| 50pg/mL EP v mAB | 41% | 86% | ||||
| Kirk ‘09 | N/A – AUC 0.55 | N/A | N/A | |||
| Rausch ‘11 | 28.67 pg/mL | 83% | 79% | |||
|
| ||||||
|
ANGIOGENESIS
| ||||||
| VEGF | Daniel ‘99 | 200pg/mL | 60% | 90% | III; promising for location and viability; needs validation in cohort with all relevant early pregnancy outcomes | |
| Felemban ‘02 | 200pg/mL –vIUP v EP | 88% | 100% | |||
| 200pg/mL –aIUP v EP | 87.5% | 75% | ||||
| Daponte ‘05 | 174.5 pg/mL | 78% | 100% | |||
| Rausch ‘11 | 28.24pg/mL | 95% | 50% | |||
|
| ||||||
| PlGF | Daponte ‘11 | 15.7pg/mL** | 86% | 73% | III; possible marker of viability, need further data on prediction of EP | |
| 19.9 pg/mL*** | 30% | 90% | ||||
| ** viable IUP v EP | ||||||
| *** missed abortion v EP | ||||||
|
| ||||||
|
ENDOMETRIAL FUNCTION
| ||||||
| Glycodelin | Rausch ’11 – AUC 0.57; Mueller ‘04, Daponte ’05 – N/A | III: possible marker of location, needs assessment in a cohort with all relevant early pregnancy outcome | ||||
|
| ||||||
| LIF | Wegner ‘01 | 6.2ng/mL | 73% | 89% | III: Conflicting results in other studies suggest not an appropriate marker of EP or PUL | |
|
| ||||||
| Mueller 2004, Daponte 2005- no significant difference in EP levels compared to other pregnancy outcomes | ||||||
no clinical test characteristic data for MUC1, adrenomedullin
Table 2.
Multiple Marker Test Performance for Prediction of Ectopic Pregnancy
| Markers | Study | Sensitivity | Specificity | Phase of Development/Conclusions |
|---|---|---|---|---|
| Estradiol, Progesterone, CA-125 | Witt 1990 | N/A | N/A | III: Needs replication to assess test characteristics and prospective assessment |
| VEGF, PAPP-A, Progesterone | Mueller 2004 | 97.7% | 92.4% | III; needs validation with abnormal IUP |
| Progesterone, Activin A, Inhibin A, VEGF | Rausch 2011 | 90–98% | 100% | III; diagnostic in 42% of patients; needs validation with abnormal IUP |
| Activin A, Progesterone, HCG | Warrick 2012 | 70% | 69% | III; no benefit over hCG alone |
| hCG, Progesterone, miR-323-3p | Zhao 2012 | 96.3% | 72.6% | III; needs validation in other cohorts and prospective assessment |
Biomarker Discovery and Future Directions
Novel Biomarker Discovery
Recognizing that the pathways involved in early pregnancy failure are incompletely understood, unbiased proteomics has also been explored as a method of biomarker discovery. The established approach for proteomics utilizes panels of monoclonal antibodies to deplete serum proteins (117). A newer approach known as shotgun proteomics incorporates combinatorial ligand library pre-fractionation to normalize the dynamic range of serum proteins (40, 118). A recent study used a label-free 3-D serum proteome comparison of serum from patients with EPs and viable IUPs to identify 9 biomarker candidates including ADAM12, isoforms of the beta-1 glycoprotein family, PAPP-A, progestagen-associated endometrial protein (PAEP or glycodelin), and chorionic somatomammotropin precursor (CSH1). A case-control study later confirmed that ADAM-12 could differentiate EP from viable IUP (AUC=0.81), thus validating this method for novel biomarker discovery (119). Similar methodology was used to identify Serum fibronectin as a candidate biomarker (AUC=0.64 for total cohort) by another gourp, although further study is needed in a larger cohort of EPs (Society for Gynecologic Investigation Abstract 2012, publication pending).
Issues in Biomarker Development
As the search for markers to predict PUL outcome continues, there are several challenges to address. First of all, many of the biomarkers studied will vary with gestational age. Gestational age can be difficult to accurately ascertain in a prospective setting, and may be unknown in up to 10% of patients presenting with symptomatic early pregnancies. This variable may require adjustment for application in the clinical setting. Alternatively, including gestational age independent markers like certain microRNAs may be helpful (52). Second, one must consider the impact of other pathophysiologic processes of pregnancy such as hypertensive disorders and aneuploidy and how these may impact biomarker interpretation (24, 32, 44, 45, 120). In addition, some markers, such as progesterone, may have altered expression in a pregnancy resulting from assisted reproduction. Therefore, any clinical tool would need to be separately validated with this subpopulation.
Conclusion
The introduction of novel marker of early pregnancy failure could dramatically affect clinical care. There are a number of promising biomarker candidates for use in women at risk for EP or with a PUL. A successful panel of markers will likely be derived from a number of biologic pathways and supplemented with markers from unbiased discovery. It also likely that the panel will contain some markers that assess viability, while other may assess the location of implantation. Thus, biomarkers may ultimately aid in the discrimination of gestational location, viability or identification of those best served with surgical, medical, or expectant management. However, markers in this review are not readily for clinical use and will need to be validated in prospective cohorts representative of EPs, viable IUPs, abnormal IUPs, and resolving PULs. While progress has been made in discovery and validation, much is still to be done before a marker test can be used independently at the point of presentation in clinical care.
Acknowledgments
Support: K24HD060687 (KB), NIH T32HD7440-16 (SS)
Footnotes
Disclosures: The authors have no conflicts of interest to disclose.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Hasan R, Baird DD, Herring AH, Olshan AF, Jonsson Funk ML, Hartmann KE. Patterns and predictors of vaginal bleeding in the first trimester of pregnancy. Ann Epidemiol. 2010;20:524–31. doi: 10.1016/j.annepidem.2010.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hoover KW, Tao G, Kent CK. Trends in the diagnosis and treatment of ectopic pregnancy in the United States. Obstet Gynecol. 2010;115:495–502. doi: 10.1097/AOG.0b013e3181d0c328. [DOI] [PubMed] [Google Scholar]
- 3.Barnhart KT. Clinical practice. Ectopic pregnancy. N Engl J Med. 2009;361:379–87. doi: 10.1056/NEJMcp0810384. [DOI] [PubMed] [Google Scholar]
- 4.Barnhart K, Mennuti MT, Benjamin I, Jacobson S, Goodman D, Coutifaris C. Prompt diagnosis of ectopic pregnancy in an emergency department setting. Obstet Gynecol. 1994;84:1010–5. [PubMed] [Google Scholar]
- 5.Nyberg DA, Filly RA, Mahony BS, Monroe S, Laing FC, Jeffrey RB., Jr Early gestation: correlation of HCG levels and sonographic identification. AJR Am J Roentgenol. 1985;144:951–4. doi: 10.2214/ajr.144.5.951. [DOI] [PubMed] [Google Scholar]
- 6.Kadar N, DeVore G, Romero R. Discriminatory hCG zone: its use in the sonographic evaluation for ectopic pregnancy. Obstet Gynecol. 1981;58:156–61. [PubMed] [Google Scholar]
- 7.Peisner DB, Timor-Tritsch IE. The discriminatory zone of beta-hCG for vaginal probes. J Clin Ultrasound. 1990;18:280–5. doi: 10.1002/jcu.1870180411. [DOI] [PubMed] [Google Scholar]
- 8.Romero R, Kadar N, Jeanty P, Copel JA, Chervenak FA, DeCherney A, et al. Diagnosis of ectopic pregnancy: value of the discriminatory human chorionic gonadotropin zone. Obstet Gynecol. 1985;66:357–60. [PubMed] [Google Scholar]
- 9.Banerjee S, Aslam N, Zosmer N, Woelfer B, Jurkovic D. The expectant management of women with early pregnancy of unknown location. Ultrasound Obstet Gynecol. 1999;14:231–6. doi: 10.1046/j.1469-0705.1999.14040231.x. [DOI] [PubMed] [Google Scholar]
- 10.Barnhart KT. Early pregancy faiure: beware of the pitfalls of modern management. Fertility and Sterilty. 2012;98:1061–5. doi: 10.1016/j.fertnstert.2012.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Barnhart K, van Mello NM, Bourne T, Kirk E, Van Calster B, Bottomley C, et al. Pregnancy of unknown location: a consensus statement of nomenclature, definitions, and outcome. Fertil Steril. 2011;95:857–66. doi: 10.1016/j.fertnstert.2010.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.ACOG Practice Bulletin No. 94: Medical management of ectopic pregnancy. Obstet Gynecol. 2008;111:1479–85. doi: 10.1097/AOG.0b013e31817d201e. [DOI] [PubMed] [Google Scholar]
- 13.Brown JK, Horne AW. Laboratory models for studying ectopic pregnancy. Curr Opin Obstet Gynecol. 2011;23:221–6. doi: 10.1097/GCO.0b013e3283481212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rothman N, Stewart WF, Schulte PA. Incorporating biomarkers into cancer epidemiology: a matrix of biomarker and study design categories. Cancer Epidemiol Biomarkers Prev. 1995;4:301–11. [PubMed] [Google Scholar]
- 15.Pepe MS, Etzioni R, Feng Z, Potter JD, Thompson ML, Thornquist M, et al. Phases of biomarker development for early detection of cancer. J Natl Cancer Inst. 2001;93:1054–61. doi: 10.1093/jnci/93.14.1054. [DOI] [PubMed] [Google Scholar]
- 16.McMichael AJ, Hall AJ. IARC Sci Publ. 1997. The use of biological markers as predictive early-outcome measures in epidemiological research; pp. 281–9. [PubMed] [Google Scholar]
- 17.Hall JA, Brown R, Paul J. An exploration into study design for biomarker identification: issues and recommendations. Cancer Genomics Proteomics. 2007;4:111–9. [PubMed] [Google Scholar]
- 18.Bonassi S, Neri M, Puntoni R. Validation of biomarkers as early predictors of disease. Mutat Res. 2001;480–481:349–58. doi: 10.1016/s0027-5107(01)00194-4. [DOI] [PubMed] [Google Scholar]
- 19.Barnhart K, Sammel MD, Chung K, Zhou L, Hummel AC, Guo W. Decline of serum human chorionic gonadotropin and spontaneous complete abortion: defining the normal curve. Obstet Gynecol. 2004;104:975–81. doi: 10.1097/01.AOG.0000142712.80407.fd. [DOI] [PubMed] [Google Scholar]
- 20.Morse CB, Sammel MD, Shaunik A, Allen-Taylor L, Oberfoell NL, Takacs P, et al. Performance of human chorionic gonadotropin curves in women at risk for ectopic pregnancy: exceptions to the rules. Fertil Steril. 2012;97:101–6. e2. doi: 10.1016/j.fertnstert.2011.10.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Condous G, Okaro E, Khalid A, Timmerman D, Lu C, Zhou Y, et al. The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location. Hum Reprod. 2004;19:1900–10. doi: 10.1093/humrep/deh341. [DOI] [PubMed] [Google Scholar]
- 22.Condous G, Van Calster B, Kirk E, Haider Z, Timmerman D, Van Huffel S, et al. Prediction of ectopic pregnancy in women with a pregnancy of unknown location. Ultrasound Obstet Gynecol. 2007;29:680–7. doi: 10.1002/uog.4015. [DOI] [PubMed] [Google Scholar]
- 23.Barnhart KT, Sammel MD, Appleby D, Rausch M, Molinaro T, Van Calster B, et al. Does a prediction model for pregnancy of unknown location developed in the UK validate on a US population? Hum Reprod. 2010;25:2434–40. doi: 10.1093/humrep/deq217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Cole LA. Hyperglycosylated hCG, a review. Placenta. 2010;31:653–64. doi: 10.1016/j.placenta.2010.06.005. [DOI] [PubMed] [Google Scholar]
- 25.Sutton-Riley JM, Khanlian SA, Byrn FW, Cole LA. A single serum test for measuring early pregnancy outcome with high predictive value. Clin Biochem. 2006;39:682–7. doi: 10.1016/j.clinbiochem.2006.03.020. [DOI] [PubMed] [Google Scholar]
- 26.Sasaki Y, Ladner DG, Cole LA. Hyperglycosylated human chorionic gonadotropin and the source of pregnancy failures. Fertil Steril. 2008;89:1781–6. doi: 10.1016/j.fertnstert.2007.03.010. [DOI] [PubMed] [Google Scholar]
- 27.Bearfield C, Jauniaux E, Groome N, Sargent IL, Muttukrishna S. The secretion and effect of inhibin A, activin A and follistatin on first-trimester trophoblasts in vitro. Eur J Endocrinol. 2005;152:909–16. doi: 10.1530/eje.1.01928. [DOI] [PubMed] [Google Scholar]
- 28.Florio P, Severi FM, Bocchi C, Luisi S, Mazzini M, Danero S, et al. Single serum activin a testing to predict ectopic pregnancy. J Clin Endocrinol Metab. 2007;92:1748–53. doi: 10.1210/jc.2006-2188. [DOI] [PubMed] [Google Scholar]
- 29.Rausch ME, Sammel MD, Takacs P, Chung K, Shaunik A, Barnhart KT. Development of a multiple marker test for ectopic pregnancy. Obstet Gynecol. 2011;117:573–82. doi: 10.1097/AOG.0b013e31820b3c61. [DOI] [PubMed] [Google Scholar]
- 30.Warrick J, Gronowski A, Moffett C, Zhao Q, Bishop E, Woodworth A. Serum activin A does not predict ectopic pregnancy as a single measurement test, alone or as part of a multi-marker panel including progesterone and hCG. Clin Chim Acta. 2012;413:707–11. doi: 10.1016/j.cca.2011.12.018. [DOI] [PubMed] [Google Scholar]
- 31.Kirk E, Papageorghiou AT, Van Calster B, Condous G, Cowans N, Van Huffel S, et al. The use of serum inhibin A and activin A levels in predicting the outcome of ‘pregnancies of unknown location’. Hum Reprod. 2009;24:2451–6. doi: 10.1093/humrep/dep066. [DOI] [PubMed] [Google Scholar]
- 32.Nicolaides KH, Spencer K, Avgidou K, Faiola S, Falcon O. Multicenter study of first-trimester screening for trisomy 21 in 75 821 pregnancies: results and estimation of the potential impact of individual risk-orientated two-stage first-trimester screening. Ultrasound Obstet Gynecol. 2005;25:221–6. doi: 10.1002/uog.1860. [DOI] [PubMed] [Google Scholar]
- 33.Bischof P, Reyes H, Herrmann WL, Sizonenko PC. Circulating levels of pregnancy-associated plasma protein-A (PAPP-A) and human chorionic gonadotrophin (hCG) in intrauterine and extrauterine pregnancies. Br J Obstet Gynaecol. 1983;90:323–5. doi: 10.1111/j.1471-0528.1983.tb08917.x. [DOI] [PubMed] [Google Scholar]
- 34.Mueller MD, Raio L, Spoerri S, Ghezzi F, Dreher E, Bersinger NA. Novel placental and nonplacental serum markers in ectopic versus normal intrauterine pregnancy. Fertil Steril. 2004;81:1106–11. doi: 10.1016/j.fertnstert.2003.08.049. [DOI] [PubMed] [Google Scholar]
- 35.Dumps P, Meisser A, Pons D, Morales MA, Anguenot JL, Campana A, et al. Accuracy of single measurements of pregnancy-associated plasma protein-A, human chorionic gonadotropin and progesterone in the diagnosis of early pregnancy failure. Eur J Obstet Gynecol Reprod Biol. 2002;100:174–80. doi: 10.1016/s0301-2115(01)00470-5. [DOI] [PubMed] [Google Scholar]
- 36.Ugurlu EN, Ozaksit G, Karaer A, Zulfikaroglu E, Atalay A, Ugur M. The value of vascular endothelial growth factor, pregnancy-associated plasma protein-A, and progesterone for early differentiation of ectopic pregnancies, normal intrauterine pregnancies, and spontaneous miscarriages. Fertil Steril. 2009;91:1657–61. doi: 10.1016/j.fertnstert.2008.02.002. [DOI] [PubMed] [Google Scholar]
- 37.Daponte A, Pournaras S, Zintzaras E, Kallitsaris A, Lialios G, Maniatis AN, et al. The value of a single combined measurement of VEGF, glycodelin, progesterone, PAPP-A, HPL and LIF for differentiating between ectopic and abnormal intrauterine pregnancy. Hum Reprod. 2005;20:3163–6. doi: 10.1093/humrep/dei218. [DOI] [PubMed] [Google Scholar]
- 38.Horne CH, Towler CM, Pugh-Humphreys RG, Thomson AW, Bohn H. Pregnancy specific beta1-glycoprotein--a product of the syncytiotrophoblast. Experientia. 1976;32:1197. doi: 10.1007/BF01927624. [DOI] [PubMed] [Google Scholar]
- 39.Earl U, Wells M, Bulmer JN. Immunohistochemical characterisation of trophoblast antigens and secretory products in ectopic tubal pregnancy. Int J Gynecol Pathol. 1986;5:132–42. [PubMed] [Google Scholar]
- 40.Beer LA, Tang HY, Sriswasdi S, Barnhart KT, Speicher DW. Systematic discovery of ectopic pregnancy serum biomarkers using 3-D protein profiling coupled with label-free quantitation. J Proteome Res. 2011;10:1126–38. doi: 10.1021/pr1008866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Tornehave D, Chemnitz J, Westergaard JG, Teisner B, Poulsen HK, Bolton AE, et al. Placental proteins in peripheral blood and tissues of ectopic pregnancies. Gynecol Obstet Invest. 1987;23:97–102. doi: 10.1159/000298842. [DOI] [PubMed] [Google Scholar]
- 42.Witt BR, Wolf GC, Wainwright CJ, Johnston PD, Thorneycroft IH. Relaxin, CA-125, progesterone, estradiol, Schwangerschaft protein, and human chorionic gonadotropin as predictors of outcome in threatened and nonthreatened pregnancies. Fertil Steril. 1990;53:1029–36. [PubMed] [Google Scholar]
- 43.Huppertz B, Bartz C, Kokozidou M. Trophoblast fusion: fusogenic proteins, syncytins and ADAMs, and other prerequisites for syncytial fusion. Micron. 2006;37:509–17. doi: 10.1016/j.micron.2005.12.011. [DOI] [PubMed] [Google Scholar]
- 44.Spencer K, Cowans NJ. ADAM12 as a marker of trisomy 18 in the first and second trimester of pregnancy. J Matern Fetal Neona. 2007;20:645–50. doi: 10.1080/14767050701483389. [DOI] [PubMed] [Google Scholar]
- 45.Torring N, Ball S, Wright D, Sarkissian G, Guitton M, Darbouret B. First trimester screening for trisomy 21 in gestational week 8–10 by ADAM12-S as a maternal serum marker. Reprod Biol Endocrinol. 2010;8:129. doi: 10.1186/1477-7827-8-129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Horne AW, Brown JK, Tong S, Kaitu’u-Lino T. Evaluation of ADAM-12 as a Diagnostic Biomarker of Ectopic Pregnancy in Women with a Pregnancy of Unknown Location. PLoS One. 2012;7:e41442. doi: 10.1371/journal.pone.0041442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Takacs P, Jaramillo S, Datar R, Williams A, Olczyk J, Barnhart K. Placental mRNA in maternal plasma as a predictor of ectopic pregnancy. Int J Gynaecol Obstet. 2012;117:131–3. doi: 10.1016/j.ijgo.2011.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lo YM, Tsui NB, Chiu RW, Lau TK, Leung TN, Heung MM, et al. Plasma placental RNA allelic ratio permits noninvasive prenatal chromosomal aneuploidy detection. Nat Med. 2007;13:218–23. doi: 10.1038/nm1530. [DOI] [PubMed] [Google Scholar]
- 49.Ng EK, Tsui NB, Lau TK, Leung TN, Chiu RW, Panesar NS, et al. mRNA of placental origin is readily detectable in maternal plasma. Proc Natl Acad Sci U S A. 2003;100:4748–53. doi: 10.1073/pnas.0637450100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Lagos-Quintana M, Rauhut R, Lendeckel W, Tuschl T. Identification of novel genes coding for small expressed RNAs. Science. 2001;294:853–8. doi: 10.1126/science.1064921. [DOI] [PubMed] [Google Scholar]
- 51.Lee RC, Ambros V. An extensive class of small RNAs in Caenorhabditis elegans. Science. 2001;294:862–4. doi: 10.1126/science.1065329. [DOI] [PubMed] [Google Scholar]
- 52.Zhao Z, Zhao Q, Warrick J, Lockwood CM, Woodworth A, Moley KH, et al. Circulating microRNA miR-323-3p as a biomarker of ectopic pregnancy. Clin Chem. 2012;58:896–905. doi: 10.1373/clinchem.2011.179283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.al-Sebai MA, Kingsland CR, Diver M, Hipkin L, McFadyen IR. The role of a single progesterone measurement in the diagnosis of early pregnancy failure and the prognosis of fetal viability. Br J Obstet Gynaecol. 1995;102:364–9. doi: 10.1111/j.1471-0528.1995.tb11286.x. [DOI] [PubMed] [Google Scholar]
- 54.Buck RH, Joubert SM, Norman RJ. Serum progesterone in the diagnosis of ectopic pregnancy: a valuable diagnostic test? Fertil Steril. 1988;50:752–5. doi: 10.1016/s0015-0282(16)60310-2. [DOI] [PubMed] [Google Scholar]
- 55.Buckley RG, King KJ, Disney JD, Riffenburgh RH, Gorman JD, Klausen JH. Serum progesterone testing to predict ectopic pregnancy in symptomatic first-trimester patients. Ann Emerg Med. 2000;36:95–100. doi: 10.1067/mem.2000.108653. [DOI] [PubMed] [Google Scholar]
- 56.Choe JK, Check JH, Nowroozi K, Benveniste R, Barnea ER. Serum progesterone and 17-hydroxyprogesterone in the diagnosis of ectopic pregnancies and the value of progesterone replacement in intrauterine pregnancies when serum progesterone levels are low. Gynecol Obstet Invest. 1992;34:133–8. doi: 10.1159/000292745. [DOI] [PubMed] [Google Scholar]
- 57.Darai E, Vlastos G, Benifla JL, Sitbon D, Hassid J, Dehoux M, et al. Is maternal serum creatine kinase actually a marker for early diagnosis of ectopic pregnancy? Eur J Obstet Gynecol Reprod Biol. 1996;68:25–7. doi: 10.1016/0301-2115(96)02446-3. [DOI] [PubMed] [Google Scholar]
- 58.Dart R, Dart L, Segal M, Page C, Brancato J. The ability of a single serum progesterone value to identify abnormal pregnancies in patients with beta-human chorionic gonadotropin values less than 1,000 mIU/mL. Acad Emerg Med. 1998;5:304–9. doi: 10.1111/j.1553-2712.1998.tb02709.x. [DOI] [PubMed] [Google Scholar]
- 59.Gelder MS, Boots LR, Younger JB. Use of a single random serum progesterone value as a diagnostic aid for ectopic pregnancy. Fertil Steril. 1991;55:497–500. doi: 10.1016/s0015-0282(16)54174-0. [DOI] [PubMed] [Google Scholar]
- 60.Guillaume J, Benjamin F, Sicuranza BJ, Deutsch S, Seltzer VL, Tores W. Serum estradiol as an aid in the diagnosis of ectopic pregnancy. Obstet Gynecol. 1990;76:1126–9. [PubMed] [Google Scholar]
- 61.Hahlin M, Wallin A, Sjoblom P, Lindblom B. Single progesterone assay for early recognition of abnormal pregnancy. Hum Reprod. 1990;5:622–6. doi: 10.1093/oxfordjournals.humrep.a137157. [DOI] [PubMed] [Google Scholar]
- 62.Hubinont CJ, Thomas C, Schwers JF. Luteal function in ectopic pregnancy. Am J Obstet Gynecol. 1987;156:669–74. doi: 10.1016/0002-9378(87)90075-5. [DOI] [PubMed] [Google Scholar]
- 63.Katsikis I, Rousso D, Farmakiotis D, Kourtis A, Diamanti-Kandarakis E, Panidis D. Receiver operator characteristics and diagnostic value of progesterone and CA-125 in the prediction of ectopic and abortive intrauterine gestations. Eur J Obstet Gynecol Reprod Biol. 2006;125:226–32. doi: 10.1016/j.ejogrb.2005.10.014. [DOI] [PubMed] [Google Scholar]
- 64.Ledger WL, Sweeting VM, Chatterjee S. Rapid diagnosis of early ectopic pregnancy in an emergency gynaecology service--are measurements of progesterone, intact and free beta human chorionic gonadotrophin helpful? Hum Reprod. 1994;9:157–60. doi: 10.1093/oxfordjournals.humrep.a138307. [DOI] [PubMed] [Google Scholar]
- 65.Mantzavinos T, Phocas I, Chrelias H, Sarandakou A, Zourlas PA. Serum levels of steroid and placental protein hormones in ectopic pregnancy. Eur J Obstet Gynecol Reprod Biol. 1991;39:117–22. doi: 10.1016/0028-2243(91)90074-u. [DOI] [PubMed] [Google Scholar]
- 66.Matthews CP, Coulson PB, Wild RA. Serum progesterone levels as an aid in the diagnosis of ectopic pregnancy. Obstet Gynecol. 1986;68:390–4. doi: 10.1097/00006250-198609000-00021. [DOI] [PubMed] [Google Scholar]
- 67.McCord ML, Muram D, Buster JE, Arheart KL, Stovall TG, Carson SA. Single serum progesterone as a screen for ectopic pregnancy: exchanging specificity and sensitivity to obtain optimal test performance. Fertil Steril. 1996;66:513–6. doi: 10.1016/s0015-0282(16)58560-4. [DOI] [PubMed] [Google Scholar]
- 68.O’Leary P, Nichols C, Feddema P, Lam T, Aitken M. Serum progesterone and human chorionic gonadotrophin measurements in the evaluation of ectopic pregnancy. Aust N Z J Obstet Gynaecol. 1996;36:319–23. doi: 10.1111/j.1479-828x.1996.tb02720.x. [DOI] [PubMed] [Google Scholar]
- 69.Riss PA, Radivojevic K, Bieglmayer C. Serum progesterone and human chorionic gonadotropin in very early pregnancy: implications for clinical management. Eur J Obstet Gynecol Reprod Biol. 1989;32:71–7. doi: 10.1016/0028-2243(89)90186-x. [DOI] [PubMed] [Google Scholar]
- 70.Sauer MV, Sinosich MJ, Yeko TR, Vermesh M, Buster JE, Simon JA. Predictive value of a single serum pregnancy associated plasma protein-A or progesterone in the diagnosis of abnormal pregnancy. Hum Reprod. 1989;4:331–4. doi: 10.1093/oxfordjournals.humrep.a136899. [DOI] [PubMed] [Google Scholar]
- 71.Stern JJ, Voss F, Coulam CB. Early diagnosis of ectopic pregnancy using receiver-operator characteristic curves of serum progesterone concentrations. Hum Reprod. 1993;8:775–9. doi: 10.1093/oxfordjournals.humrep.a138139. [DOI] [PubMed] [Google Scholar]
- 72.Stewart BK, Nazar-Stewart V, Toivola B. Biochemical discrimination of pathologic pregnancy from early, normal intrauterine gestation in symptomatic patients. Am J Clin Pathol. 1995;103:386–90. doi: 10.1093/ajcp/103.4.386. [DOI] [PubMed] [Google Scholar]
- 73.Stovall TG, Ling FW, Andersen RN, Buster JE. Improved sensitivity and specificity of a single measurement of serum progesterone over serial quantitative beta-human chorionic gonadotrophin in screening for ectopic pregnancy. Hum Reprod. 1992;7:723–5. doi: 10.1093/oxfordjournals.humrep.a137725. [DOI] [PubMed] [Google Scholar]
- 74.Yeko TR, Gorrill MJ, Hughes LH, Rodi IA, Buster JE, Sauer MV. Timely diagnosis of early ectopic pregnancy using a single blood progesterone measurement. Fertil Steril. 1987;48:1048–50. doi: 10.1016/s0015-0282(16)59607-1. [DOI] [PubMed] [Google Scholar]
- 75.Mol BW, Lijmer JG, Ankum WM, van der Veen F, Bossuyt PM. The accuracy of single serum progesterone measurement in the diagnosis of ectopic pregnancy: a meta-analysis. Hum Reprod. 1998;13:3220–7. doi: 10.1093/humrep/13.11.3220. [DOI] [PubMed] [Google Scholar]
- 76.Condous G, Lu C, Van Huffel SV, Timmerman D, Bourne T. Human chorionic gonadotrophin and progesterone levels in pregnancies of unknown location. Int J Gynaecol Obstet. 2004;86:351–7. doi: 10.1016/j.ijgo.2004.04.004. [DOI] [PubMed] [Google Scholar]
- 77.El Bishry G, Ganta S. The role of single serum progesterone measurement in conjunction with beta hCG in the management of suspected ectopic pregnancy. J Obstet Gynaecol. 2008;28:413–7. doi: 10.1080/01443610802149806. [DOI] [PubMed] [Google Scholar]
- 78.Treetampinich C, O’Connor AE, MacLachlan V, Groome NP, de Kretser DM. Maternal serum inhibin A concentrations in early pregnancy after IVF and embryo transfer reflect the corpus luteum contribution and pregnancy outcome. Hum Reprod. 2000;15:2028–32. doi: 10.1093/humrep/15.9.2028. [DOI] [PubMed] [Google Scholar]
- 79.Seifer DB, Lambert-Messerlian GM, Canick JA, Frishman GN, Schneyer AL. Serum inhibin levels are lower in ectopic than intrauterine spontaneously conceived pregnancies. Fertil Steril. 1996;65:667–9. [PubMed] [Google Scholar]
- 80.Segal S, Gor H, Correa N, Mercado R, Veenstra K, Rivnay B. Inhibin A: marker for diagnosis of ectopic and early abnormal pregnancies. Reprod Biomed Online. 2008;17:789–94. doi: 10.1016/s1472-6483(10)60406-3. [DOI] [PubMed] [Google Scholar]
- 81.Chetty M, Sawyer E, Dew T, Chapman AJ, Elson J. The use of novel biochemical markers in predicting spontaneously resolving ‘pregnancies of unknown location’. Hum Reprod. 2011;26:1318–23. doi: 10.1093/humrep/der064. [DOI] [PubMed] [Google Scholar]
- 82.Carmeliet P, Ferreira V, Breier G, Pollefeyt S, Kieckens L, Gertsenstein M, et al. Abnormal blood vessel development and lethality in embryos lacking a single VEGF allele. Nature. 1996;380:435–9. doi: 10.1038/380435a0. [DOI] [PubMed] [Google Scholar]
- 83.Daniel Y, Geva E, Lerner-Geva L, Eshed-Englender T, Gamzu R, Lessing JB, et al. Levels of vascular endothelial growth factor are elevated in patients with ectopic pregnancy: is this a novel marker? Fertil Steril. 1999;72:1013–7. doi: 10.1016/s0015-0282(99)00417-3. [DOI] [PubMed] [Google Scholar]
- 84.Felemban A, Sammour A, Tulandi T. Serum vascular endothelial growth factor as a possible marker for early ectopic pregnancy. Hum Reprod. 2002;17:490–2. doi: 10.1093/humrep/17.2.490. [DOI] [PubMed] [Google Scholar]
- 85.Plaisier M, Rodrigues S, Willems F, Koolwijk P, van Hinsbergh VW, Helmerhorst FM. Different degrees of vascularization and their relationship to the expression of vascular endothelial growth factor, placental growth factor, angiopoietins, and their receptors in first-trimester decidual tissues. Fertil Steril. 2007;88:176–87. doi: 10.1016/j.fertnstert.2006.11.102. [DOI] [PubMed] [Google Scholar]
- 86.Horne AW, Shaw JL, Murdoch A, McDonald SE, Williams AR, Jabbour HN, et al. Placental growth factor: a promising diagnostic biomarker for tubal ectopic pregnancy. J Clin Endocrinol Metab. 2011;96:E104–8. doi: 10.1210/jc.2010-1403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Daponte A, Pournaras S, Polyzos NP, Tsezou A, Skentou H, Anastasiadou F, et al. Soluble FMS-like tyrosine kinase-1 (sFlt-1) and serum placental growth factor (PlGF) as biomarkers for ectopic pregnancy and missed abortion. J Clin Endocrinol Metab. 2011;96:E1444–51. doi: 10.1210/jc.2011-0037. [DOI] [PubMed] [Google Scholar]
- 88.Senturk LM, Arici A. Leukemia inhibitory factor in human reproduction. Am J Reprod Immunol. 1998;39:144–51. doi: 10.1111/j.1600-0897.1998.tb00346.x. [DOI] [PubMed] [Google Scholar]
- 89.Wegner NT, Mershon JL. Evaluation of leukemia inhibitory factor as a marker of ectopic pregnancy. Am J Obstet Gynecol. 2001;184:1074–6. doi: 10.1067/mob.2001.115224. [DOI] [PubMed] [Google Scholar]
- 90.Iyibozkurt AC, Kalelioglu I, Gursoy S, Corbacioglu A, Gurelpolat N, Karahan GE, et al. Evaluation of serum levels of interleukin-10, interleukin-11 and leukemia inhibitory factor in differentiation of eutopic and tubal ectopic pregnancies. Clin Exp Obstet Gynecol. 2010;37:217–20. [PubMed] [Google Scholar]
- 91.Kiran G, Kiran H, Ertopcu K, Kilinc M, Ekerbicer HC, Vardar MA. Tuba uterina leukemia inhibitory factor concentration does not increase in tubal pregnancy: a preliminary study. Fertil Steril. 2005;83:484–6. doi: 10.1016/j.fertnstert.2004.09.014. [DOI] [PubMed] [Google Scholar]
- 92.Vigne JL, Hornung D, Mueller MD, Taylor RN. Purification and characterization of an immunomodulatory endometrial protein, glycodelin. J Biol Chem. 2001;276:17101–5. doi: 10.1074/jbc.M010451200. [DOI] [PubMed] [Google Scholar]
- 93.Foth D, Romer T. Glycodelin serum levels in women with ectopic pregnancy. Eur J Obstet Gynecol Reprod Biol. 2003;108:199–202. doi: 10.1016/s0301-2115(02)00437-2. [DOI] [PubMed] [Google Scholar]
- 94.Aplin JD, Hey NA. MUC1, endometrium and embryo implantation. Biochem Soc Trans. 1995;23:826–31. doi: 10.1042/bst0230826. [DOI] [PubMed] [Google Scholar]
- 95.Al-Azemi M, Refaat B, Aplin J, Ledger W. The expression of MUC1 in human Fallopian tube during the menstrual cycle and in ectopic pregnancy. Hum Reprod. 2009;24:2582–7. doi: 10.1093/humrep/dep233. [DOI] [PubMed] [Google Scholar]
- 96.Refaat B, Simpson H, Britton E, Biswas J, Wells M, Aplin JD, et al. Why does the fallopian tube fail in ectopic pregnancy? The role of activins, inducible nitric oxide synthase, and MUC1 in ectopic implantation. Fertil Steril. 2012;97:1115–23. doi: 10.1016/j.fertnstert.2012.02.035. [DOI] [PubMed] [Google Scholar]
- 97.Savaris RF, da Silva LC, da Moraes GS, Edelweiss MI. Expression of MUC1 in tubal pregnancy. Fertil Steril. 2008;89:1015–7. doi: 10.1016/j.fertnstert.2007.04.036. [DOI] [PubMed] [Google Scholar]
- 98.Liao SB, Li HW, Ho JC, Yeung WS, Ng EH, Cheung AN, et al. Possible role of adrenomedullin in the pathogenesis of tubal ectopic pregnancy. J Clin Endocrinol Metab. 2012;97:2105–12. doi: 10.1210/jc.2011-3290. [DOI] [PubMed] [Google Scholar]
- 99.Soriano D, Hugol D, Quang NT, Darai E. Serum concentrations of interleukin-2R (IL-2R), IL-6, IL-8, and tumor necrosis factor alpha in patients with ectopic pregnancy. Fertil Steril. 2003;79:975–80. doi: 10.1016/s0015-0282(02)04853-7. [DOI] [PubMed] [Google Scholar]
- 100.Sadovsky Y, Pineda J, Collins JL. Serum CA-125 levels in women with ectopic and intrauterine pregnancies. J Reprod Med. 1991;36:875–8. [PubMed] [Google Scholar]
- 101.Brumsted JR, Nakajima ST, Badger G, Riddick DH, Gibson M. Serum concentration of CA-125 during the first trimester of normal and abnormal pregnancies. J Reprod Med. 1990;35:499–502. [PubMed] [Google Scholar]
- 102.Condous G, Kirk E, Syed A, Van Calster B, Van Huffel S, Timmerman D, et al. Do levels of serum cancer antigen 125 and creatine kinase predict the outcome in pregnancies of unknown location? Hum Reprod. 2005;20:3348–54. doi: 10.1093/humrep/dei227. [DOI] [PubMed] [Google Scholar]
- 103.Kuscu E, Vicdan K, Turhan NO, Oguz S, Zorlu G, Gokmen O. The hormonal profile in ectopic pregnancies. Mater Med Pol. 1993;25:149–52. [PubMed] [Google Scholar]
- 104.Schmidt T, Rein DT, Foth D, Eibach HW, Kurbacher CM, Mallmann P, et al. Prognostic value of repeated serum CA 125 measurements in first trimester pregnancy. Eur J Obstet Gynecol Reprod Biol. 2001;97:168–73. doi: 10.1016/s0301-2115(00)00533-9. [DOI] [PubMed] [Google Scholar]
- 105.Birkhahn RH, Gaeta TJ, Leo PJ, Bove JJ. The utility of maternal creatine kinase in the evaluation of ectopic pregnancy. Am J Emerg Med. 2000;18:695–7. doi: 10.1053/ajem.2000.7327. [DOI] [PubMed] [Google Scholar]
- 106.Duncan WC, Sweeting VM, Cawood P, Illingworth PJ. Measurement of creatine kinase activity and diagnosis of ectopic pregnancy. Br J Obstet Gynaecol. 1995;102:233–7. doi: 10.1111/j.1471-0528.1995.tb09100.x. [DOI] [PubMed] [Google Scholar]
- 107.Lavie O, Beller U, Neuman M, Ben-Chetrit A, Gottcshalk-Sabag S, Diamant YZ. Maternal serum creatine kinase: a possible predictor of tubal pregnancy. Am J Obstet Gynecol. 1993;169:1149–50. doi: 10.1016/0002-9378(93)90272-k. [DOI] [PubMed] [Google Scholar]
- 108.Korhonen J, Alfthan H, Stenman UH, Ylostalo P. Failure of creatine kinase to predict ectopic pregnancy. Fertil Steril. 1996;65:922–4. doi: 10.1016/s0015-0282(16)58261-2. [DOI] [PubMed] [Google Scholar]
- 109.Lincoln SR, Dockery JR, Long CA, Rock WA, Jr, Cowan BD. Maternal serum creatine kinase does not predict tubal pregnancy. J Assist Reprod Genet. 1996;13:702–4. doi: 10.1007/BF02066421. [DOI] [PubMed] [Google Scholar]
- 110.Plewa MC, Ledrick D, Buderer NF, King RW. Serum creatine kinase is an unreliable predictor of ectopic pregnancy. Acad Emerg Med. 1998;5:300–3. doi: 10.1111/j.1553-2712.1998.tb02708.x. [DOI] [PubMed] [Google Scholar]
- 111.Qasim SM, Trias A, Sachdev R, Kemmann E. Evaluation of serum creatine kinase levels in ectopic pregnancy. Fertil Steril. 1996;65:443–5. doi: 10.1016/s0015-0282(16)58114-x. [DOI] [PubMed] [Google Scholar]
- 112.Vandermolen DT, Borzelleca JF. Serum creatine kinase does not predict ectopic pregnancy. Fertil Steril. 1996;65:916–21. [PubMed] [Google Scholar]
- 113.Shaw JL, Horne AW. The paracrinology of tubal ectopic pregnancy. Mol Cell Endocrinol. 2012;358:216–22. doi: 10.1016/j.mce.2011.07.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Gebeh AK, Willets JM, Marczylo EL, Taylor AH, Konje JC. Ectopic Pregnancy Is Associated with High Anandamide Levels and Aberrant Expression of FAAH and CB1 in Fallopian Tubes. J Clin Endocrinol Metab. 2012;97:2827–35. doi: 10.1210/jc.2012-1780. [DOI] [PubMed] [Google Scholar]
- 115.Horne AW, Phillips JA, 3rd, Kane N, Lourenco PC, McDonald SE, Williams AR, et al. CB1 expression is attenuated in Fallopian tube and decidua of women with ectopic pregnancy. PLoS One. 2008;3:e3969. doi: 10.1371/journal.pone.0003969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Kelsey JL. Methods in observational epidemiology. 2. New York: Oxford University Press; 1996. [Google Scholar]
- 117.Echan LA, Tang HY, Ali-Khan N, Lee K, Speicher DW. Depletion of multiple high-abundance proteins improves protein profiling capacities of human serum and plasma. Proteomics. 2005;5:3292–303. doi: 10.1002/pmic.200401228. [DOI] [PubMed] [Google Scholar]
- 118.Boschetti E, Righetti PG. The ProteoMiner in the proteomic arena: a non-depleting tool for discovering low-abundance species. J Proteomics. 2008;71:255–64. doi: 10.1016/j.jprot.2008.05.002. [DOI] [PubMed] [Google Scholar]
- 119.Rausch ME, Beer L, Sammel MD, Takacs P, Chung K, Shaunik A, et al. A disintegrin and metalloprotease protein-12 as a novel marker for the diagnosis of ectopic pregnancy. Fertil Steril. 2011;95:1373–8. doi: 10.1016/j.fertnstert.2010.12.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Forest JC, Charland M, Masse J, Bujold E, Rousseau F, Lafond J, et al. Candidate biochemical markers for screening of pre-eclampsia in early pregnancy. Clin Chem Lab Med. 2012;50:973–84. doi: 10.1515/cclm.2011.820. [DOI] [PubMed] [Google Scholar]
