Neeraj Agarwal1, Jean-Pascal Machiels2, Cristina Suárez3, Nancy Lewis4, Michaela Higgins5, Kari Wisinski6, Ahmad Awada7, Michela Maur8, Mark Stein9, Andy Hwang10, Rebecca Mosher, Ernesto Wasserman10, Gang Wu10, Hefei Zhang10, Renata Zieba10, Mohamed Elmeliegy10. 1. Huntsman Cancer Institute, Division of Medical Oncology, Department of Medicine, University of Utah, Salt Lake City, Utah, USA neeraj.agarwal@hci.utah.edu. 2. Roi Albert II Institute, Medical Oncology Service, University Clinic Saint Luc and Institute of Experimental and Clinical Research (Pôle Molecular Imaging, Radiotherapy & Oncology), Catholic University of Louvain, Brussels, Belgium. 3. Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology, Barcelona, Spain. 4. Thomas Jefferson University, Philadelphia, Pennsylvania, USA. 5. Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA. 6. University of Wisconsin Carbone Cancer Center, Madison, Wisconsin, USA. 7. Jules Bordet Institute, Brussels, Belgium. 8. Oncology Unit, Department of Oncology, Hematology and Respiratory Disease, University Hospital Policlinico of Modena, Modena, Italy. 9. Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA. 10. Novartis Pharmaceutical Corporation, East Hanover, New Jersey, USA.
Prolactin, a pituitary-derived polypeptide hormone, is implicated in breast and prostate tumorigenesis. Expression of the PRLR has been confirmed in breast and prostate cancers. This phase I study evaluated LFA102 in 73 patients with PRLR-positive MBC or mCRPC, treated at doses of 3–60 mg/kg. During dose escalation, LFA102 demonstrated favorable safety and tolerability at all doses. No dose-limiting toxicities (DLTs) occurred; therefore, the MTD was not reached, although the RDE was established at 60 mg/kg based on safety, PK, and PD data supported by Bayesian logistic regression modeling. Dose proportionality analysis showed that serum LFA102 maximum concentration observed (Cmax) and area under the last measurable concentration (AUClast) were approximately linearly dose dependent (Fig. 1) and should provide sufficient exposure to achieve efficacy. However, no objective responses were observed in patients with MBC, and in patients with mCRPC, there were no prostate-specific antigen (PSA) responses.
Figure 1.
AUClast and Cmax increase with LFA102 dose in a relatively proportional manner. AUClast
(A) and Cmax
(B) results for individual patients in cycle 1. For each dose, parameter values (open symbols), least-square mean (black triangles), and 90% least-square means confidence interval (vertical bars) are shown. Serum LFA102 concentrations were measured up to day 28 of cycle 1 via dense sampling followed by trough concentration measurement in subsequent cycles. Concentration-time profiles show biexponential disposition typical for monoclonal antibodies. Cmax and AUClast increased in a relatively proportional manner with increasing LFA102 doses.
Abbreviations: AUClast, area under the last measurable concentration; Cmax, maximum concentration observed.
In vitro data have shown a high binding affinity of LFA102 to PRLR, but because assessing LFA102 binding within tumors is impractical in patients, our study used serum prolactin levels as a surrogate marker for PRLR inhibition. A sixfold change in serum prolactin levels from baseline was observed in patients treated with LFA102 60 mg/kg, indicative of inhibition of PRLR and ruling out poor target binding as causing lack of efficacy (Fig. 2). Other potential explanations for the lack of LFA102 efficacy include that prolactin may not be an oncogenic driver in breast and prostate cancer in humans, unforeseen compensatory modulation of downstream signaling pathways in response to PRLR inhibition, or upregulation of other tumorigenic signaling pathways that compensate for PRLR inhibition. Nevertheless, preclinical data show that letrozole potentiates the efficacy of LFA102 when administered in combination in a rat mammary cancer model. Therefore, although LFA102 monotherapy may not show antitumor activity, it may have potential for treating prolactin-dependent tumors in combination with other recently approved, novel hormonal pathway targeting agents in MBC and mCRPC. Furthermore, given the PD evidence of prolactin receptor blockade by LFA102, this drug has the potential to be used in conditions such as hyperprolactinemia that are associated with high prolactin levels.
Figure 2.
Serum prolactin levels rise with increasing doses of LFA102. Linear views of individual serum prolactin concentration-time profiles grouped by LFA102 dose group are shown. Individual patient serum prolactin increased after LFA102 administration.
Trial Information
Breast cancerProstate cancerMetastatic / Advanced1 prior regimenPhase IAdaptive DesignRecommended Phase II DoseMaximum Tolerated DoseSafetyTolerabilityPharmacokineticsPharmacodynamicEfficacyExploratory: Effects of LFA102 on serum prolactin levels.Evidence of target inhibition but no or minimal antitumor activity
Drug Information
LFA102Antibodymg/kgIV10 mg/kg once every 4 weeks.
Dose Escalation Table
Patient Characteristics
3934Locally advanced or metastatic disease.Median (range): 66.0 years (41.0–89.0 years)Median (range): Not Collected0 — 301 — 382 — 53 — 0unknown —Breast and prostate, 73
Study completedEvidence of target inhibition but no or minimal antitumor activityProlactin is a pituitary-derived polypeptide hormone implicated in breast and prostate tumorigenesis [1-3]. Prolactin is also expressed in several extrapituitary sites, in addition to breast and prostate tumors themselves [1, 4–7]. Expression of PRLR has been confirmed in various cancers, including breast and prostate [8-13]. Data suggest that increased serum prolactin levels may increase breast cancer risk and correlate with worse prognosis [14-16]. Overexpression of prolactin in murine mammary glands leads to tumor formation, and transplanted PRLR-negative tumors exhibit delays in tumor expansion compared with PRLR-positive tumors in mice [17, 18]. Although prolactin is expressed in normal human prostate, high expression in prostate tumors is associated with high-grade prostate cancer and worse prognosis [4, 19]. Overexpression of prolactin in mouse prostate causes hyperplasia and tumorigenesis [20, 21]. Therefore, blocking prolactin signal transduction is an attractive target in breast and prostate cancers.Attempts made to inhibit PRLR signaling in vivo have been unsuccessful [22-27]. LFA102 is a humanized mAb that binds to the extracellular domain of PRLR. LFA102 inhibits PRLR signal transduction and cell proliferation in humanbreast cancer cells and causes tumor regression in animal xenograft models. Rats treated with LFA102 showed increased serum prolactin levels, suggesting this may be a potential biomarker for PRLR inhibition [28]. These data suggest that LFA102 has the potential to be an effective therapeutic agent in patients with breast or prostate cancer.This phase I study evaluated LFA102 in patients with PRLR-positive MBC or mCRPC. Between September 2011 and March 2014, 73 patients were treated with LFA102 at doses of 3–60 mg/kg. During dose escalation, no DLTs occurred and the MTD was not reached. The RDE was established at 60 mg/kg, the highest tested dose level. The most common AEs, regardless of study drug relationship, were fatigue (44%), nausea (33%), constipation, decreased appetite, and vomiting (21% each). Of the 73 patients treated, 3 patients (4%) had grade 3 or 4 AEs suspected to be related to the study drug: decreased blood phosphorus, increased serum lipase, and decreased blood lymphocyte count, each in 1 patient (1%).The serum LFA102 concentration-time profiles showed biexponential disposition typical for mAbs. Cmax and AUClast increased in a relatively proportional manner with increasing LFA102 doses (Fig. 1). The geometric mean apparent volume of distribution at steady state (Vss) and clearance across the treatment groups were similar, indicating linear PK. The geometric mean of Vss for doses of 3–60 mg/kg ranged from 4 to 6 L. The geometric mean half-life ranged from 6 to 9 days. At the RDE of 60 mg/kg, the mean (± SD) Cmax was 1,495 ± 589 µg/mL (coefficient of variation [CV%]: 39) and mean (± SD) AUClast was 230,991 ± 102,673 hour × µg/mL (CV% = 45), indicating moderate interindividual variability. No antidrug-antibody-positive samples were detected.An exploratory objective of the study was to determine the effect of LFA102 treatment on serum prolactin levels in patients. The fold change from baseline increased in a dose-dependent manner, reached a maximum between days 8 and 15, and declined after day 15. The maximum fold-change in serum prolactin levels increased with doses up to 20 mg/kg and reached a plateau between 40 and 60 mg/kg. The temporal delay between PK and PD response is suspected to reflect the time needed for LFA102 to distribute to peripheral tissues, inhibit peripheral PRLR, and, consequently, lead to increased serum prolactin as a compensatory feedback mechanism.The primary objective of this study was to determine the MTD and/or RDE of LFA102 in patients with MBC or mCRPC patients. An RDE of 60 mg/kg was established based on safety, PK, and PD, supported by the Bayesian logistic regression model. LFA102 demonstrated a favorable safety profile and tolerability at all doses tested. Dose proportionality analysis showed that serum LFA102 Cmax and AUClast were approximately linearly dose-dependent. LFA102 Vss was close to the volume of plasma, suggesting limited peripheral distribution typical of mAbs. At 60 mg/kg, the LFA102 half-life was 9 days, which, although within the reported range of mAbs, is slightly lower than the typical immunoglobulin G (IgG) with a half-life of approximately 25 days [29]. A possible explanation for this might be a lower affinity for the neonatal Fc receptor for IgG, which protects IgG from proteolytic degradation, leading to faster clearance.No objective responses were observed in patients with MBC during this study. In patients with mCRPC, there were no PSA responses. Thirteen of 73 patients (18%) experienced stable disease as their best response to LFA102 treatment. The majority of patients (67 of 73 patients; 92%) discontinued the study because of disease progression. One explanation for the lack of antitumor activity is the possibility of insufficient exposure. After a single dose of LFA102 10 mg/kg by i.v., serum LFA102 Cmax values were comparable between rodent and human subjects (268 µg/mL and 303 µg/mL, respectively; data not shown). Administration of a single dose of LFA102 10 mg/kg showed antitumor activity in a prolactin-dependent mousetumor xenograft model (Nb2-11-luc) [28]. Consequently, the 60 mg/kg LFA102 dose in patients, which resulted in a mean Cmax of 1,495 ± 589 µg/mL and a mean steady-state trough concentration of 106 ± 34 µg/mL, would be anticipated to provide sufficient LFA102 exposure to achieve efficacy.In vitro data showed a high binding affinity of LFA102 to PRLR [28]. Assessing LFA102 binding to PRLR directly within tumors is impractical in patients; therefore, serum prolactin levels were used as a surrogate marker for PRLR inhibition. A sixfold change in serum prolactin levels from baseline was observed in patients treated with LFA102 60 mg/kg, indicative of inhibition of PRLR. The compensatory increase in serum prolactin indicates that LFA102 binds to PRLR in patients, ruling out poor target binding as causative of lack of efficacy. However, the source of serum prolactin increase could either be the tumor or the pituitary gland. No correlation between tumorPRLR expression and serum prolactin response was observed. Therefore, the observed increase in serum prolactin is more likely to be a pituitary-driven feedback to LFA102 as a result of peripheral, nontumoral PRLR inhibition rather than a tumor-specific process. Furthermore, the increase in serum prolactin was transient; it was maintained up to 15 days following LFA102 administration (supplemental online Fig. 3). Based on this observation, more frequent LFA102 dosing (e.g., every 2 weeks) could have resulted in sustained PRLR inhibition and perhaps a better efficacy profile.Another potential explanation for the lack of LFA102 efficacy is that prolactin may not be an oncogenic driver in breast and prostate cancer in humans. Prolactin activity as an oncogenic driver in humantumors has been difficult to assess directly in preclinical models of humanbreast and prostate cancers [28]. Mouseprolactin does not activate humanPRLR; therefore, humanbreast or prostate cancer cells or primary tumors cannot be used for xenograft models in mice to assess the requirement for PRLR signaling in driving oncogenesis [30]. Other explanations for the lack of LFA102 efficacy include unforeseen compensatory modulation of downstream signaling pathways in response to PRLR inhibition, or upregulation of other compensatory tumorigenic signaling pathways.Finally, letrozole potentiates the efficacy of LFA102 when administered in combination in a rat mammary cancer model [28]. These preclinical results raise the possibility that although LFA102 monotherapy may not show antitumor activity, it may still have the potential to treat prolactin-dependent tumors in combination with other agents, such as novel hormonal pathway targeting agents in MBC and mCRPC. Furthermore, given the PD evidence of prolactin receptor blockade by LFA102, this drug has the potential to be used in conditions such as hyperprolactinemia that are associated with high prolactin levels.
Table 1.
Patients’ characteristics
Supplemental Table 1.
Trial information
Supplemental Table 2.
Most common AEs (≥15% for all grades or ≥5% for grade 3/4 in all patients) regardless of study drug relationship
Supplemental Table 3.
Safety, tolerability, dose changes, and exposure to LFA102
Authors: Lars Harbaum; Marion J Pollheimer; Thomas Bauernhofer; Peter Kornprat; Richard A Lindtner; Andrea Schlemmer; Peter Rehak; Cord Langner Journal: Mod Pathol Date: 2010-05-07 Impact factor: 7.842
Authors: P Touraine; J F Martini; B Zafrani; J C Durand; F Labaille; C Malet; A Nicolas; C Trivin; M C Postel-Vinay; F Kuttenn; P A Kelly Journal: J Clin Endocrinol Metab Date: 1998-02 Impact factor: 5.958
Authors: C J Ormandy; A Camus; J Barra; D Damotte; B Lucas; H Buteau; M Edery; N Brousse; C Babinet; N Binart; P A Kelly Journal: Genes Dev Date: 1997-01-15 Impact factor: 11.361
Authors: Hongzhen Li; Tommi J Ahonen; Kalle Alanen; Jianwu Xie; Matthew J LeBaron; Thomas G Pretlow; Erica L Ealley; Ying Zhang; Martti Nurmi; Baljit Singh; Paula M Martikainen; Marja T Nevalainen Journal: Cancer Res Date: 2004-07-15 Impact factor: 12.701
Authors: Charles V Clevenger; Jiamao Zheng; Elizabeth M Jablonski; Traci L Galbaugh; Feng Fang Journal: J Mammary Gland Biol Neoplasia Date: 2008-02-02 Impact factor: 2.673
Authors: M Bontenbal; J A Foekens; S W Lamberts; F H de Jong; W L van Putten; H J Braun; J T Burghouts; G H van der Linden; J G Klijn Journal: Br J Cancer Date: 1998 Impact factor: 7.640
Authors: Alessandra DiMauro; Christina Seger; Briaunna Minor; Andrea M Amitrano; Ifunanya Okeke; Manisha Taya; Ashley R Rackow; Divya Kumar; R Matthew Kottman; Bala Bhagavath; Stephen R Hammes Journal: Reprod Sci Date: 2021-11-01 Impact factor: 2.924
Authors: Obi L Griffith; Szeman Ruby Chan; Malachi Griffith; Kilannin Krysiak; Zachary L Skidmore; Jasreet Hundal; Julie A Allen; Cora D Arthur; Daniele Runci; Mattia Bugatti; Alexander P Miceli; Heather Schmidt; Lee Trani; Krishna-Latha Kanchi; Christopher A Miller; David E Larson; Robert S Fulton; William Vermi; Richard K Wilson; Robert D Schreiber; Elaine R Mardis Journal: Cell Rep Date: 2016-09-27 Impact factor: 9.423
Authors: Mark G Anderson; Qian Zhang; Luis E Rodriguez; Claudie M Hecquet; Cherrie K Donawho; Peter J Ansell; Edward B Reilly Journal: BMC Cancer Date: 2021-06-09 Impact factor: 4.430
Authors: Vanessa M López-Ozuna; Ibrahim Y Hachim; Mahmood Y Hachim; Jean-Jacques Lebrun; Suhad Ali Journal: Sci Rep Date: 2016-08-02 Impact factor: 4.379
Authors: Blánaid M Hicks; John Busby; Ken Mills; Francis A O'Neil; Stuart A McIntosh; Shu-Dong Zhang; Fabio Giuseppe Liberante; Chris R Cardwell Journal: BMC Cancer Date: 2020-08-24 Impact factor: 4.430