Prospective Evaluation of a Circulating Tumor Cell Sensitivity Profile to Predict Response to Cisplatin Chemotherapy in Metastatic Breast Cancer Patients

Background

Cisplatin (cDDP) has regained interest for metastatic breast cancer (MBC) patients, given the platinum sensitivity in subtypes and better manageable toxicity. Here, the primary aim was to determine whether molecular characteristics of circulating tumor cells (CTCs) could identify patients responding to cDDP and to describe the outcomes to cDDP monotherapy in a large group of MBC patients pretreated with anthracycline- and taxane-based treatments.

Methods

Based on cell line data, a CTC-cDDP-sensitivity profile was generated. Applying an A’Herns single-stage phase II design, further investigation was considered worthwhile if 5/10 patients with a favorable profile responded to cDDP. Patients received 70mg/m² cDDP every three weeks, CTCs were enumerated and the CTC-cDDP-sensitivity profile was determined. In total, 65 heavily pretreated MBC patients (77% received ≥2 lines of previous chemotherapy for MBC) were eligible for the per-protocol analysis. Primary endpoint was response rate, secondary endpoints included best observed response, progression-free survival (PFS) and overall survival (OS).

Results

The best observed response during cDDP therapy was a partial response in 7% and stable disease in 56% of the patients. None of the patients with a favorable CTC-cDDP-sensitivity profile had a response. The median baseline CTC count was 8 (range 0-3254). Patients with <5 CTCs had a better PFS and OS than patients with ≥5 CTCs (median PFS 4.5 months (95%CI 2.38-6.62) vs. 2.1 months [(95%CI 1.34-2.80)(p=0.009)] and median OS 13.1 months (95%CI 9.89-16.33) vs. 5.6 months [(95%CI 3.60-7.64)(p=0.003)]. No other factors than CTC count were associated with outcome to cDDP therapy, including triple-negative breast cancer versus ER-positive tumors.

Conclusions

The CTC-cDDP-sensitivity profile was unable to select patients responding to cDDP monotherapy. In an unselected group of heavily pretreated MBC patients, cDDP yields outcomes comparable to other chemotherapeutic regimens for heavily pretreated MBC patients. CTC count was the only factor associated with outcome in these patients.

Clinical Trial Registration

(https://www.trialregister.nl/trial/3885, identifier NTR4046)

Abstract P1-09-20: An optimized workflow to analyze ESR1 mutations in both circulating cell-free and circulating tumor cell DNA by digital PCR

Background

In metastatic breast cancer (MBC) patients ESR1 mutations (mESR1) in cell-free DNA (cfDNA) have been related to endocrine therapy (ET) resistance. Such mutations might also be detectable in circulating tumor cells (CTCs). Mutation detection in small amounts of cfDNA and in CTCs in a background of leukocytes is highly challenging. The current study evaluated how to reliably investigate mESR1 status in such minute amounts of cfDNA and in DNA from CellSearch-enriched CTCs.

Materials & Methods

Plasma (200 µL) and matched CellSearch-enriched CTC fractions of 7 healthy blood donors (HBD) and 29 MBC patients at baseline and after ET (≥ 5 CTC/7.5 mL) were evaluated. cfDNA was isolated from plasma with the QIAamp CNA kit and CTC-enriched DNA with the AllPrep kit (Qiagen). mESR1 status in both cfDNA and CTC-enriched DNA fractions was compared with or without whole genome amplification (repli-g WGA, Qiagen) or ESR1 target specific amplification. Quantitative PCR (qPCR) for wild type (WT) ESR1 was used to control the number of WT copies loaded into the chips for digital PCR (dPCR) analysis. The variant allele frequencies (VAF) of hotspot mutations for ESR1 (D538G, Y537S, Y537C and Y537N) were evaluated with mutation-specific Taqman assays by chip-based dPCR (QuantStudio 3D, Thermo Fischer Scientific).

Results

To allow inclusion of as many samples as possible, we successfully downscaled the volume of required plasma from 1 mL to 200 µL as this resulted in the same VAF. Sample-type specific thresholds for mESR1 presence were established (2% for the cell-free plasma samples, at which percentage all HBDs were negative, and 0.5% for the CTCs to allow identification of one mutated CTC-specific copy in a background of ~1,000 leukocytes).

WGA was unable to adequately amplify fragmented cfDNA, resulting in a too low DNA yield. However, locus-specific target pre-amplification of a 136 bp fragment covering all 4 different mutations followed by mutant specific dPCR performed well for both cfDNA and CTC DNA, but only if the loading of the pre-amplified product into the dPCR chips was optimized by qPCR for the number of WT ESR1 copies.

The most optimal results for dPCR data interpretation were obtained after: 1. including at least one positive sample in each dPCR session; 2. using a “safe loading window”, 3. loading and reading chips at least twice in QuantStudio 3D ; 4. critically evaluating the contribution by a non-specific “comet effect”; and 5. after loading the data in the software, performing at least two independent data analyses to exclude intra-observer variations.

Summary

Here we describe our workflow to assess mESR1 in a limited amount of plasma cfDNA or CellSearch enriched CTC DNA. This workflow has been successfully used to investigate the mESR1 VAF status in DNA from matched CTC DNA and cfDNA of MBC patients before start of 1st line endocrine therapy and at progression (see also abstract number 851017).

Citation Format: Vitale SR, Sieuwerts AM, Helmijr J, Beije N, van der Vlugt – Daane M, Foekens JA, Sleijfer S, Jansen MPHM, Martens JWM. An optimized workflow to analyze ESR1 mutations in both circulating cell-free and circulating tumor cell DNA by digital PCR [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-09-20.

Abstract P2-08-08: Circulating tumor cells count-based nomograms to predict survival of metastatic breast cancer patients: Results from the European pooled analysis

Background: The European Pooled Analysis of CTC (EPAC) in metastatic breast cancer, based on 1,944 individual data from patients with various tumor types and clinical settings (Bidard et al, Lancet Oncol 2014), has established CTC count (CellSearch) at baseline and during therapy as a level of evidence 1 independent prognostic biomarker and demonstrated its superiority over serum blood markers. As part of the study pre-planned objectives, we sought to establish nomograms allowing accurate individual survival predictions.

Methods: Using individual data from 17 centers, we built simplified multivariate prognostic models taking into account the independent prognostic clinico-pathological (CP) characteristics including CTC count, dichotomized using the 5CTC/7.5ml threshold, at baseline and at 3-5 weeks after the start of a new treatment regimen, and derived nomograms for progression-free survival (PFS) and overall survival (OS) prediction at baseline and after 3-5 weeks of treatment. We report here the internal validation of these nomograms. Discrimination of the models was assessed using the c-index estimated by a jackknife procedure and the calibration was visually assessed through 10-fold crossvalidated calibration plots at 1,2,3 years for OS and 1,2 years for PFS.

Results: Multivariate models at baseline for PFS and OS were fitted on 1501 and 568 individual patient data with CTC count at baseline and CTC count at baseline and after 3-5 weeks, respectively. Models include tumor subtype, the number of previous chemotherapy lines (0/1/≥2), PS, age (&lt;=50/&gt;50-65/&gt;65 years), metastasis-free intervals (0/&gt;0-3/&gt;3 years), metastatic sites (liver and CNS) and CTC count at baseline and eventually at 3-5 weeks of treatment. The C-index increased from 0.722 to 0.755 (increase in C-index:0.033, 95% CI [0.019;0.045]) when adding baseline CTC to the CP only model for OS (n=1501). For those patients with CTC values at 3-5 weeks (n=568), there was an additional increase in the C-index when adding CTC at 3-5 weeks to a model with already CP and baseline CTC from 0.731 to 0.743 (increase in C-index 0.013, 95% CI [-0.004;0.025]). The model with CP and baseline CTC counts showed a good calibration for OS at 1,2,3 years and the model with CP, baseline CTC and CTC count at 3-5 weeks a moderately good calibration. Similar results were obtained for PFS.

Conclusion: From the largest database with individual CTC data, we were able to build PFS and OS survival nomograms, with satisfactory discrimination and calibration. Our planned next step is to validate the nomogram in an additional cohort.

Citation Format: Bidard F-C, Peeters D, Fehm T, Nole F, Gisbert-Criado R, Mavroudis D, Grisanti S, Generali D, Garcia-Saenz JA, Stebbing J, Caldas C, Gazzaniga P, Manso L, Zamarchi R, Fernandez de Lascoiti A, de Mattos-Arruda L, Ignatiadis M, van Laere SJ, Meier-Stiegen F, Sandri M-T, Vidal-Martinez J, Politaki E, Consoli F, Bottini A, Diaz-Rubio E, Krell J, Dawson S-J, Raimondi C, Rutten A, Janni W, Munzone E, Carañana V, Agelaki S, Almici C, Dirix L, Solomayer E, Zorzino L, Reis-Filho JS, Squifflet P, Pantel K, Beije N, Sleijfers S, Pierga J-Y, Michiels S. Circulating tumor cells count-based nomograms to predict survival of metastatic breast cancer patients: Results from the European pooled analysis. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-08-08.