Skip to main content
PLOS One logoLink to PLOS One
. 2020 Feb 7;15(2):e0228822. doi: 10.1371/journal.pone.0228822

Simultaneous quantification of palbociclib, ribociclib and letrozole in human plasma by a new LC-MS/MS method for clinical application

Bianca Posocco 1,*, Mauro Buzzo 1, Ariana Soledad Poetto 1,2, Marco Orleni 1, Sara Gagno 1, Martina Zanchetta 1,3, Valentina Iacuzzi 1,4, Michela Guardascione 1, Fabio Puglisi 5,6, Debora Basile 5,6, Giacomo Pelizzari 5,6, Elena Marangon 1, Giuseppe Toffoli 1
Editor: John Matthew Koomen7
PMCID: PMC7006908  PMID: 32032379

Abstract

A novel LC-MS/MS method was developed for the quantification of the new cyclin dependent kinase inhibitors (CDKIs) palbociclib and ribociclib and the aromatase inhibitor letrozole used in combinatory regimen. The proposed method is appropriate to be applied in clinical practice due to the simple and fast sample preparation based on protein precipitation, the low amount of patient sample necessary for the analysis (10 μL) and the total run time of 6.5 min. It was fully validated according to FDA and EMA guidelines on bioanalytical method validation. The linearity was assessed (R2 within 0.9992–0.9983) over the concentration ranges of 0.3–250 ng/mL for palbociclib, 10–10000 ng/mL for ribociclib and 0.5–500 ng/mL for letrozole that properly cover the therapeutic plasma concentrations. A specific strategy was implemented to reduce the carryover phenomenon, formerly known for these CDKIs. This method was applied to quantify the Cmin of palbociclib, ribociclib and letrozole in plasma samples from patients enrolled in a clinical study. The same set of study samples was analysed twice in separate runs to assess the reproducibility of the method by means of the incurred samples reanalysis. The results corroborated the reliability of the analyte concentrations obtained with the bioanalytical method, already proved by the validation process. The percentage differences were always within ±10% for all the analytes and the R2 of the correlation graph between the two quantifications was equal to 0.9994.

Introduction

Palbociclib (PALBO) and ribociclib (RIBO) are orally bioavailable, small molecule cyclin dependent kinase inhibitors (CDKIs) indicated for the treatment of hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative locally advanced or metastatic breast cancer in combination with an aromatase inhibitor such as letrozole (LETRO) [1,2]or with the oestrogen receptor antagonist fulvestrant in patients who have received prior endocrine therapy [3].

According to the recommended dosing regimen PALBO and RIBO are administered orally once a day at a dose of 125 mg (one capsule) and 600 mg (three tablets) respectively. The therapy is taken for 21 consecutive days followed by 7 days off treatment (28-day cycle) in combination with LETRO 2.5 mg/day given continuously (or fulvestrant 500 mg by intramuscular injection on days 1, 15, and 29 of cycle 1 and once a month for the following cycles, in the case of PALBO).

Variability in response and/or toxicity towards anticancer drugs could be related to variability in pharmacokinetic parameters such as area under the plasma concentration vs time curve (AUC) or plasma trough level (Cmin) [4,5]. Therefore, pharmacokinetics could be an accessible biomarker for therapy optimization through therapeutic drug monitoring (TDM) identifying patients at risk of toxicity due to high exposure or who may experience suboptimal efficacy due to low exposure. Moreover, TDM allows to highlight cases of suspected non-adherence to therapy, which is a particularly plausible issue as far as oral drugs are concerned.

Based on the limited exposure–response and–toxicity studies, TDM recommendation for PALBO, RIBO and LETRO, currently ranges from exploratory to promising. A greater reduction in absolute neutrophil count appears to be associated with increased PALBO exposure, while no definitive exposure-response relationship was found in 81 patients treated at 125 mg fixed dose [6]. Some adverse events, as neutropenia or QT prolongation, have shown to be proportional to RIBO exposure [7]. Finally, an exposure-efficacy analysis in patients treated with LETRO showed a longer time to tumour progression for those patients achieving LETRO plasma concentrations ≥ 85.6 ng/mL [5].

To deepen the knowledge about the interindividual variation in pharmacokinetics and relationship with patient outcome, large prospective clinical studies are needed, as well as more validated bioanalytical methods to support them. At the best of our knowledge, for the quantification of these drugs in human plasma, only one LC-UV method was published for PALBO [8], two LC-MS/MS methods were published for RIBO [9,10], while several LC-MS/MS assays [1116] and one LC-UV method [17] were reported for LETRO. Recently, a LC-MS/MS method was also proposed for the quantification of the CDKIs in human plasma [18] but not for the simultaneous determination of LETRO. Moreover, the calibration range was 2–200 ng/mL for all the analytes and, thus, it does not properly cover all the in vivo concentration range, especially for RIBO. As reported in the literature, in vivo RIBO plasma concentrations (CV) fall in between 711 (72.9) ng/mL (Cmin) and 3500 (65.8) ng/mL [19,20] while PALBO plasma concentrations range from the population mean Cmin (CV) of 61 (42) ng/mL [6] to 185.5 (27) ng/mL (Cmax, day 8 of cycle 1 at standard dose) [21].

With regard to LETRO, Beer et al. reported a mean concentration (±SD) of 107.0±62.9 ng/mL [11] while from the study of Desta et al. a mean concentration (range) of 89.7 (28.4–349.2) ng/mL was obtained [22].

The aim of this work was to develop and validate a new LC-MS/MS method to simultaneously monitor plasma concentrations of PALBO, RIBO and LETRO in human plasma. The proposed assay was used to perform Cmin quantifications in breast cancer patients.

Materials and methods

Chemicals and reagents

The analytical standard of PALBO was provided by Toronto Research Chemicals (Toronto, Canada, product N. P139900, lot N. 1-ZPK-125-1), RIBO hydrochloride (product N. M15373, lot N. 12195) and LETRO (product N. L6545, lot N. 0000028530) were supplied by Merck-Sigma Aldrich. Stable isotopically labeled internal standards D6-RIBO (product N. C4503, lot N. PO-ALS-18-007-B1), D8-PALBO (product N. C5108, lot N. SA-ALS-15-120-P1) and 13C2,15N2-LETRO (product N. C595, lot N. JA-ALS-18-104-P3) were synthesized by Alsachim (Illkirch Graffenstaden, France). LC-MS grade isopropanol was supplied by Merck-Sigma Aldrich while LC-MS grade methanol was purchased from Carlo-Erba (Milano, Italy). “Type 1” ultrapure water was produced at our department by a Milli-Q® IQ 7000 system (Merck). Drug-free plasma/K-EDTA from healthy volunteers to prepare daily standard calibration curves and quality control samples (QCs) was provided by the transfusion unit of our institution.

Standard solutions preparation

Stock solutions of RIBO and LETRO were prepared in methanol at the concentration of 1 mg/mL while stock solution of PALBO was prepared in DMSO at 0.5 mg/mL. Two different stock solutions were obtained for each compound: one for the calibration curve and the other for QCs. To obtain the working solutions for the construction of the calibration curve (from A to H) the stock solutions of PALBO, RIBO and LETRO were mixed together and diluted with methanol to achieve the final concentrations of: 5, 3, 1.5, 0.5, 0.2, 0.08, 0.02, and 0.005 μg/mL for PALBO, 200, 120, 60, 20, 8, 3.2, 0.8, and 0.2 μg/mL for RIBO, and 10, 6, 3, 1, 0.4, 0.16, 0.4, 0.16, 0.04, and 0.01 μg/mL for LETRO. The stock solutions for QCs (H-high, M-medium, L-low) were mixed together and diluted with methanol to obtain the final concentrations of: 4, 0.4, 0.01 μg/mL for PALBO, 160, 16, 0.4 μg/mL for RIBO, and 8, 0.8, 0.02 μg/mL for LETRO. Stock solutions of IS were prepared in methanol for D6-RIBO and 13C2,15N2-LETRO at the concentrations of 1 and 0.5 mg/mL, respectively, and for D8-PALBO in DMSO at 0.5 mg/mL. The three working solutions were mixed together and diluted with methanol to obtain the final concentrations of 12.5 ng/mL for D8-PALBO and 15N2-LETRO, and 45.0 ng/mL for D6-RIBO. This solution was directly used to precipitate plasma proteins during sample treatment.

Calibration curve, QCs and patients’ sample preparation

Preparation of calibration curve and QCs samples was conducted through the following steps: 1) 5 μL of working solutions were added to 95 μL of blank human plasma (dilution 1:20) and vortexed for 10 s; 2) a 10 μL-aliquot of this mix was added with 80 μL of cold IS working solution (see “Standard solutions preparation” section), vortexed and then centrifuged for 15 min at 16200 g and 4°C; 3) 70 μL of the supernatant were transferred to a polypropylene tube for the following analysis. The final concentrations thus obtained were: 0.3, 1, 4, 10, 25, 75, 150, 250 ng/mL for PALBO, 10, 40, 160, 400, 1000, 3000, 6000, 10000 ng/mL for RIBO, 0.5, 2, 8, 20, 50, 150, 300, 500 ng/mL for LETRO for the calibration curve; 0.5, 20, 200 ng/mL for PALBO, 20, 800, 8000 ng/mL for RIBO, and 1, 40, 400 ng/mL for LETRO for the QCs. The preparation of patients’ samples was conducted as following: patient plasma was thawed at room temperature, vortexed for 10 s and centrifuged, for 10 min, at 3000 g and 4°C; 10 μL of plasma was then treated according to steps 2) and 3).

Chromatographic and mass spectrometry conditions

The HPLC system was a SIL-20AC XR auto-sampler and LC-20AD UFLC XR pumps (Shimadzu, Tokyo, Japan). The mobile phases (MP) consisted of ultrapure water with 0.1% HCOOH (phase A) and methanol/isopropanol (9:1, v/v) with 0.1% HCOOH (phase B). The chromatographic separation was obtained on the Luna Omega Polar C18 column (3 μM, 100 Å, 50 x 2.1 mm) coupled with a Security Guard Cartridge (Polar, C18, 4 x 2.0 mm), both provided by Phenomenex (Castel Maggiore (BO), Italy). The mass spectrometry system used for the detection was an API 4000 triple quadrupole (AB SCIEX, Massachusetts, USA) with a TurboIonSpray source operating in positive ion mode. To optimize source and compound dependent parameters, solutions of each analyte at the concentration of 100 ng/mL were used with a flow rate of 20 μL/min. Data were processed with Analyst 1.6.3 and the quantification of the peaks was done with MultiQuant 2.1 (software package AB SCIEX).

Method validation

A full validation of the proposed method was conducted according to FDA and EMA guidelines on bioanalytical method validation [23,24], as previously reported [25,26].

Recovery, matrix effect and selectivity

Three different sets (set 1, 2, 3) of QCs were prepared in quintuplicate at each concentrations (L, M, H): set 1) normal QCs prepared as reported in “Calibration curve, QCs and patients’ sample preparation” section; set 2) post-extraction QCs (QC working solution was added to an extracted plasma sample); set 3) QCs in pure methanol. To evaluate PALBO, RIBO and LETRO recovery, the peak area ratio of set 1 over set 2 QCs was calculated.

Effects of matrix endogenous components on the ionization of PALBO, RIBO and LETRO were evaluated with different strategies during the chromatographic method development and, successively, during the validation process. Firstly, this phenomenon was investigated by means of the post-column infusion using standard solutions of the three analytes in 0.1% HCOOH methanol/water 1:1 at the concentration of 50 ng/mL and applying a flow rate of 20 μL/min. For more details on post-column infusion experiment see our previous published methods [25,26]. The matrix effect was then evaluated by calculating for each analyte the ratio of the peak area of set 2 QCs to the peak area of set 3 QCs. The CV should be within 15% [24].

To investigate the selectivity of the proposed bioanalytical method (i.e. the presence of interferences whose signal overlaps with those of the analytes of interest), 6 blank human plasma samples obtained from 6 different healthy donors were analysed. The samples analyzed should be free of interference at the retention times of the analytes of interest. The absence of interference was defined as a response lower than 20% of the LLOQ for the analytes and lower than 5% for the ISs.

Linearity and sensitivity

Calibration curves were built using a weighted (1/x2) linear regression model. To evaluate the linearity of the curve, 5 calibration curves freshly processed during different working days were used. The Pearson’s determination coefficient R2 was calculated and the comparison of the true and back-calculated calibration standard concentrations (expressed as accuracy) was checked. A minimum of 7 out of 8 calibration points, including the lower limit of quantification (LLOQ) and the highest calibrator (ULOQ), had to be within 85–115% of the theoretical concentration (80–120% at the LLOQ) [23,24].

The sensitivity of a bioanalytical method is defined by the LLOQ. The LLOQ is the lowest concentration that could be measured with a precision (i.e. the coefficient of variation (CV%), expressing the standard deviation as a percentage of the mean calculated concentration) within 20%, accuracy between 80% and 120% and a signal-to-noise ratio (S/N) ≥ 5. The LLOQ of the present method was verified analysing the precision, accuracy and S/N ratio obtained from 6 samples of pooled blank human plasma added with H working solution (prepared as reported in “Calibration curve, QCs and patients’ sample preparation” section). The Analyst software calculates the S/N ratio using Peak-to-Peak method taking the standard deviation of all the chromatographic data points between the specified background start and background end times (60 min before analyte peak).

Carryover

Since previously published methods [18,27] underlined the presence of carryover effect related to both PALBO and RIBO, particular attention was paid during method development to this phenomenon. Carryover was evaluated as the peak area percentage of a blank sample injected after the ULOQ respect to the peak area of the LLOQ for each analyte. Carryover should not exceed 20% of LLOQ.

Intra- and inter-day precision and accuracy

As required by FDA and EMA guidelines, the method precision and accuracy were determined during a single working day (intra-day, 6 replicates for each QC concentration) and during 5 different working days (inter-day, 3 replicates for each QC concentration). The measured concentrations had to be within 15% of the nominal value and this had to be verified for at least 2 out of 3 QCs at each concentration level and in each run.

Stability

Bench-top and long-term stability was assessed to ensure that sample preparation and sample analysis, as well as the storage conditions applied do not affect the quantification of the analytes of interest. Stability tests were conducted using QCs prepared in triplicate at each concentration (L, M, H): bench-top stability was investigated after 4 h at room temperature; stability of the deproteinized QCs was evaluated in autosampler set at 4 °C re-analysing the samples 24, 48, and 72 h after the first injection; freeze/thaw stability was assessed by analysing three freshly prepared aliquots of each QCs concentration, and then again after one and two freeze/thaw cycles. Long term stability of PALBO, RIBO and LETRO was investigated both in plasma, to assess patients’ samples stability after storage at -80°C, and in solvent (methanol) to assess working solutions stability after storage at -20°C. Stability tests were considered verified if the testing samples did not exceed ±15% from the nominal concentrations at each QCs concentration.

Application of the method to clinical samples

The proposed method was applied to quantify the Cmin of PALBO, RIBO and LETRO in samples from patients recruited from June to August 2019 in a clinical study (prot. code: CRO-2018-83) ongoing at the National Cancer Institute of Aviano, Italy. The inclusion criteria were: 1) to be under treatment with palbociclib or ribociclib according to the routine clinical practice criteria (the dose and the treatment cycle were not considered but patients should have been at the steady state); 2) age ≥18; 3) life expectancy > 3 months; 4) Signed informed consent. The exclusion criteria were to be non-collaborative and/or unreliable patients and refusal of informed consent. Patients were asked to periodically (every two months) collect plasma samples for the estimation of PALBO or RIBO and/or LETRO Cmin during their therapy treatment.

To accurately estimate the Cmin of PALBO, RIBO and LETRO, blood samples were collected immediately before the scheduled drug intake in 2.7 mL K-EDTA tubes. Plasma was obtained immediately by centrifugation of the blood samples at 3000 g for 10 min at 4°C. Then the obtained plasma was split into two independent aliquots and stored at -80°C in two different freezers.

Ethics statement regarding patients’ samples

The clinical study (prot. code: CRO-2018-83) was approved by the local ethics committee (Comitato Etico Unico Regionale- C.E.U.R.) and it is conducted at the National Cancer Institute of Aviano (Italy). The study conduction fulfilled Declaration of Helsinki’s principles. Patients were informed by the oncologist about the clinical study during their visits and were recruited only after the signature of a written informed consent. Patients’ recruitment and data management and analysis are entirely conducted at the National Cancer Institute of Aviano (Italy).

Reproducibility or incurred samples reanalysis

At present, each of the 10 patients’ samples collected were quantified in 2 separate runs during 2 different working days, to further assess the reproducibility of the proposed method. In fact, as recently introduced in the last version of the FDA guideline [23], incurred samples re-analysis (ISR) is necessary to show the reliability of the reported analyte concentrations obtained with a bioanalytical method. ISR is conducted by repeating the analysis of a subset of patients’ samples in separate runs. The two analyses can be considered equivalent if the percentage difference [expressed as: (repeat-original)*100/mean] between the first and the second concentration measured is within ±20% for at least 67% of the samples [23,24].

Results and discussion

LC-MS/MS method

Source dependent parameters were optimized as follows: temperature 500 °C, nebulizer gas 40 psi and heater gas 40 psi (zero air), curtain gas 35 psi and collision gas (CAD) 6 psi (nitrogen), ion spray voltage 5500 V. With the ESI source operating in positive ion mode, PALBO, RIBO, and LETRO formed in prevalence the protonated molecule [M+H]+: 448 m/z for PALBO, 435 m/z for RIBO and 286 m/z for LETRO. The fragmentation patterns obtained within the collision cell are represented in Fig 1 [14,18,28] and reported in Table 1 along with the optimized compound dependent parameters. The daughter ions used as quantifiers were: 448>380 m/z for PALBO, 435>322 m/z for RIBO and 286>217 m/z for LETRO. The following fragment ions were used as qualifiers: 448>337 m/z for PALBO (in Fig 1a, the m/z 362 peak is probably due to the loss of H2O), 435>367 m/z for RIBO and 286>190 m/z for LETRO. The quantifier/qualifier ions ratio was calculated across the calibration range (from LLOQ to A using 6 calibration curves) for each analyte: it resulted 20.3±3.0 for PALBO, 0.11±0.01 for RIBO and 1.9±0.2 for LETRO. With regard to RIBO, the fragment having lower intensity was chosen as quantifier ion to prevent signal saturation problem at higher concentrations.

Fig 1. MS/MS mass spectra of analytes with their chemical structures and identification of the fragment ions used for the present method.

Fig 1

(a) PALBO, recorded with CE = 50 V; (b) RIBO, recorded with CE = 37 V; (c) LETRO, recorded with CE = 30 V.

Table 1. Compound-dependent parameters.

Compound Q1a (m/z) DPb (V) EPc (V) Q3d (m/z) CEe (V) CXPf (V)
PALBO 448.3 130 10 380.2 40 10
337.2 53 10
RIBO 435.3 110 10 322.3 63 10
367.3 55 10
LETRO 286.2 50 10 217.2 20 10
190.2 45 10
D8-PALBO 456.3 130 10 388.3 40 10
D6-RIBO 441.3 110 10 373.3 38 10
13C2,15N2-LETRO 290.2 50 10 221.2 20 10

aFirst quadrupole mass.

bDeclustering potential.

cEntrance potential.

dThird quadrupole mass.

eCollision energy.

fCell exit potential.

The quantification of the ISs signal was conducted using the following transitions: 456>388 m/z for D8-PALBO, 441>373 m/z for D6-RIBO, and 290>221 m/z for 13C2,15N2-LETRO.

The separation of the analytes was obtained applying the following gradient (flow rate of 0.3 mL/min, column temperature fixed at 50 °C): the percentage of MPB was increased from the initial condition (10%) to 70% in 0.5 min and then kept constant for 1.75 min; MPB was further increased to 95% in 0.1 min and kept constant for 1.9 min; the initial condition was then restored in 0.25 min and the column was re-equilibrated for 2 min. The total run time was 6.5 min. Fig 2 displays typical SRM chromatograms of plasma samples: an extracted blank sample (Fig 2a); an extracted sample at the LLOQ level (Fig 2b); an example of sample from a patient treated with PALBO (Fig 2c) and a sample from a patient treated with RIBO (600 mg/day) and LETRO (Fig 2d). The first sample was collected from a patient treated with PALBO at 125 mg/day after 25 h from the last capsule intake, while the second sample was collected from a patient treated with RIBO (600 mg/day) in combination with LETRO (2.5 mg/day) after 30 h from the last pills intake. As noticeable from Fig 2, the analytes were rapidly and selectively eluted achieving a good separation within 2.5 min: the retention times correspond to 1.93 min for PALBO, 1.56 min for RIBO and 2.20 min for LETRO. With an unretained peak time of 0.43 min, the retention factor (k) was 3.5 for PALBO, 2.6 for RIBO and 4.1 for LETRO.

Fig 2. SRM chromatograms.

Fig 2

(a) blank plasma sample; (b) S/N ratio of PALBO, RIBO and LETRO at the LLOQ (0.3, 10 and 0.5 ng/mL for PALBO, RIBO and LETRO, respectively); (c) extracted plasma sample of a patient treated with PALBO showing the drug at the concentration of 77.5 ng/mL; (d) extracted plasma sample of a patient treated with RIBO in combination with LETRO showing the drugs at the concentration of 396.0 ng/mL and 46.8 ng/mL, respectively.

Recovery, matrix effect and selectivity

PALBO, RIBO and LETRO recovery, expressed as percentage and reported in Table 2 resulted high (≥ 92.3%) for all the analytes and reproducible over the concentrations ranges tested.

Table 2. Recovery of PALBO, RIBO and LETRO from human plasma.

Analyte Nominal conc. (ng/mL) Recovery (%) ±SD Recovery CV(%)
PALBO 0.5 92.3±9.4 10.2
20 97.4±3.3 3.4
200 96.6±3.5 3.6
RIBO 20 101.1±2.6 2.6
800 97.7±2.8 2.9
8000 99.6±1.4 1.4
LETRO 1 98.1±4.0 4.1
40 97.0±1.7 1.7
400 99.2±3.1 3.1

Both the post-column infusion test and the calculation of the ratio between analytes peak area in presence of matrix (human pooled plasma) and the peak area in absence of matrix (methanol) using QCs demonstrated the absence of significant matrix effect. In fact, no suppression or enhancement of extracted ions signals (XIC) was detected at the retention time of the analytes. The estimated matrix effect (ME%) is reported in Table 3 for each analyte: it was found to be between 91.5–98.7% with a CV% ≤10.2% for PALBO, between 85.0–113.2% with a CV% ≤4.0% for RIBO and between 86.4–91.6% with a CV% ≤9.5 for LETRO. These results confirmed that the proposed method is not affected by matrix effect.

Table 3. Estimated matrix effect (ME%) of PALBO, RIBO and LETRO in deproteinized human plasma.

Analyte Nominal conc. (ng/mL) ME (%) ±SD ME CV(%)
PALBO 0.5 91.5±9.3 10.2
20 98.7±1.4 1.4
200 97.0±2.5 2.6
RIBO 20 113.2±4.5 4.0
800 110.2±2.4 2.2
8000 85.0±1.2 1.4
LETRO 1 86.4±8.2 9.5
40 91.6±2.0 2.1
400 90.5±1.9 2.1

Linearity and sensitivity

The linearity of the method was verified over the selected concentrations (0.3–250, 10–10000, 0.5–500 ng/mL for PALBO, RIBO and LETRO, respectively): the mean R2 values obtained were 0.9990±0.0007 for PALBO, 0.9992±0.0002 for RIBO, and 0.9983±0.0010 for LETRO. A calibration curve example for each analyte is reported in Fig 3. As related to PALBO, the calculated accuracy was between 95.5 and 103.3% and precision was within 5.7%. The accuracy obtained for RIBO was between 95.1 and 102.7% while precision was ≤ 5.1%. Lastly, precision and accuracy of LETRO was between 91.8% and 104.5% and within 6.2%, respectively. In Table 4 the complete list of linearity data is reported.

Fig 3. Calibration curves of PALBO, RIBO and LETRO in human plasma.

Fig 3

Table 4. Accuracy and precision data of the calibration curves of PALBO, RIBO and LETRO.

PALBO (Na = 5)
R2 = 0.9990±0.0007
Intercept: -0.0009±0.0002
Slope: 0.0135±0.0001
nominal conc. (ng/mL) Mean ± SD CV% Acc%
0.300 0.301±0.002 0.6 100.2
1.00 1.00±0.02 2.2 100.1
4.00 3.91±0.22 5.7 97.8
10.00 9.85±0.29 2.9 98.5
25.00 25.74±0.73 2.8 103.0
75.00 76.28±1.05 1.4 101.7
150.00 154.97±5.20 3.4 103.3
250.00 238.67±12.12 5.1 95.5
RIBO (Na = 5)
R2 = 0.9992±0.0002
Intercept: 0.0008±0.0001
Slope: 0.00082±0.00004
10.00 10.04±0.13 1.3 100.4
40.00 39.30±2.00 5.1 98.2
160.00 158.44±3.68 2.3 99.0
400.00 410.94±11.23 2.7 102.7
1000.00 1020.18±19.12 1.9 102.0
3000.00 3029.34±88.65 2.9 101.0
6000.00 6091.68±176.43 2.9 101.5
10000.00 9506.24±299.76 3.2 95.1
LETRO (Na = 5)
R2 = 0.9983±0.0010
Intercept: 0.0022±0.0006
Slope: 0.0122±0.0002
0.50 0.49±0.01 1.6 98.6
2.00 2.09±0.12 5.7 104.5
8.00 8.25±0.20 2.4 103.2
20.00 20.74±0.45 2.1 103.7
50.00 50.05±1.30 2.6 100.1
150.00 150.70±6.02 4.0 100.5
300.00 293.00±18.07 6.2 97.7
500.00 459.19±11.19 2.4 91.8

aNumber of calibration curves used for accuracy and precision estimation.

The LLOQ values were assessed at the concentrations of 0.3 ng/mL for PALBO, 10 ng/mL for RIBO and 0.5 ng/mL for LETRO: the accuracy and precision (CV%) obtained for the 6 LLOQ samples prepared in pooled blank human plasma were, respectively, 98.1% and 6.5% for PALBO, 105.3% and 5.5% for RIBO and 108.2% and 4.4% for LETRO. The S/N ratios were 30.5 for PALBO, 93.5 for RIBO and 7.5 for LETRO, as reported in Fig 2 showing the chromatogram of a LLOQ sample with the corresponding S/N ratio for each analyte.

Carryover

A marked carryover was observed after the injection of ULOQ sample, albeit the introduction of a cleaning step during the chromatographic gradient: the first blank sample after ULOQ had residual signals of PALBO and RIBO that were 2- and 1.5-fold higher than those of the LLOQ, respectively. On the contrary, no carryover post-injection was detected for LETRO, being its signal in the first blank sample after ULOQ injection lower than 10% respect to the LLOQ. The first attempt to overcome PALBO and RIBO carryover was the injection of several blank samples after the ULOQ. Unfortunately, after 7 blank samples carryover was still present (35% for PALBO and 30% for RIBO). Thus, keeping constant the mass spectrometry conditions and the MPA-B composition, we developed a washing method based on the “saw-tooth wash” gradient proposed by Williams et al. [29] to be applied to blank samples after ULOQ and unknown patients’ samples: from 10% to 98% of MPB (methanol/isopropanol 9:1, v/v, with 0.1% HCOOH) in 0.5 min and kept constant for 0.7 min; then from 98% to 5% of MPB in 0.1 min and kept constant for 0.8 min. The same profile was repeated three times overall with a final reconditioning step of 2 min at 10% of MPB. The total run time was 6.34 min (Fig 4). As a result, after the 2 blank samples run with the washing method, no quantifiable peaks of PALBO and peaks of RIBO ≤15% respect to the LLOQ were observed in the following blank sample run with the quantification method.

Fig 4. Chromatographic gradient used for the washing method.

Fig 4

MPB is methanol/isopropanol 9:1, v/v, with 0.1% HCOOH; MPA is ultrapure water with 0.1% HCOOH.

Intra- and inter-day precision and accuracy

The results of intra- and inter-day precision and accuracy of the proposed method complied with FDA and EMA requirements (Table 5). As related to intra-day precision and accuracy, the obtained values were, respectively, ≤ 3.6% and between 94.5–112.3% for all three analytes. At the same time, inter-day precision and accuracy were ≤ 7.3% and between 94.5–112.9%.

Table 5. Intra- and inter-day precision and accuracy of the proposed method for PALBO, RIBO and LETRO.

Intra-day (N = 6)
Analyte Nominal conc. (ng/mL) Mean ± SD CV % Acc %
PALBO 0.50 0.56±0.02 4.0 112.3
20.00 19.46±0.72 3.7 97.3
200.00 195.03±7.51 3.9 97.5
RIBO 20.00 19.73±0.70 3.6 98.7
800.00 757.56±37.94 5.0 94.7
8000.00 7560.69±334.39 4.4 94.5
LETRO 1.00 1.00±0.06 6.3 100.2
40.00 38.37±1.24 3.2 95.9
400.00 382.52±13.21 3.5 95.6
Inter-day (N = 15)
Analyte Nominal conc. (ng/mL) Mean ± SD CV % Acc %
PALBO 0.50 0.56±0.04 6.2 112.9
20.00 21.12±1.13 5.4 105.6
200.00 206.72±8.66 4.2 103.4
RIBO 20.00 20.23±1.17 5.8 101.1
800.00 794.70±42.33 5.3 99.3
8000.00 7757.54±354.15 4.6 97.0
LETRO 1.00 0.95±0.07 7.3 94.5
40.00 41.10±1.79 4.4 102.8
400.00 394.74±20.09 5.1 98.7

Stability

PALBO, RIBO, and LETRO stability in plasma matrix was verified under the following conditions: 1) after 4 h at room temperature, being precision and accuracy, respectively, within 12.2% and between 88.2% and 103.5% for the three analytes; 2) after 2 months of storage at -80 °C, being precision and accuracy, respectively, within 5.0% and between 88.3% and 105.5% for the three analytes. The deproteinized QCs were stable in autosampler set at 4 °C for 72 h as proved by precision and accuracy values obtained (≤ 7.8% and between 93.9% and 111.1% for all the compounds). PALBO, RIBO, and LETRO resulted stable after 2 freeze/thaw cycles (taking together the 3 drugs, precision and accuracy values were ≤ 14.2% and between 102.3–111.9%, respectively). Long term stability in methanol was verified after 2 months of storage at -20°C: for all 3 compounds, precision and accuracy were within 4.3 and between 97.6–112.1%, respectively. In S1, S2 and S3 Tables complete stability data are reported.

Application of the method to clinical samples and reproducibility

Patients’ recruitment into the clinical study (prot. code: CRO-2018-83) is still at the beginning and, at the moment, the method was tested on 10 plasma samples collected from 8 patients (from 2 patients we collected 2 sequential samples) affected by metastatic breast cancer. The principal demographic and clinical characteristics of the enrolled patients are reported in Table 6.

Table 6. Principal demographic and clinical characteristics of the enrolled patients.

Patients characteristic N
Population size and sex 8 female
Age (range) 67 (50–85) years
Therapy 5 PALBO (125 mg/day) + fulvestrant
1 PALBO (100 mg/day) + fulvestrant
1 PALBO (125 mg/day) + LETRO (2.5 mg/day)
1 RIBO (600 mg/day) + LETRO (2.5 mg/day)

Blood samples were taken between 15 and 30 h from the last pill intake. In one case (patient 3, Table 7), the last PALBO assumption was 1 week before the blood sampling. The sensibility of the method allowed the quantification of the residual concentration of PALBO (1.6 ng/mL, I quantification). Concentrations of PALBO obtained in patients 1, 2, 3, 4, and 6 of Table 7 were rather in line with the population mean Cmin reported in literature (61 ng/mL) for the standard dose [4]. Patients 5 showed PALBO concentrations slightly lower in both two analyzed samples (39.5 and 41.5 ng/mL, I quantification, Table 7) while patient 7 showed a slightly higher drug concentration (97.9 ng/mL, I quantification, Table 7). This latter result was probably due to the fact that the last pill intake was 15 h before the sampling. In sample 8 (patient 6 of Table 7), although the patient was treated with PALBO in combination with fulvestrant, a residual amount of LETRO (2.8 ng/mL, I quantification) was detected: the patient completed her adjuvant therapy with LETRO 2 weeks before the sampling.

Table 7. Incurred samples reanalysis.

Patient N Sample N PALBO
(mg/day)
RIBO
(mg/day)
LETRO
(mg/day)
I quantif.a (ng/mL) II quantif.a (ng/mL) % diff.b
1 1 125 - - 53.0 55.9 5.3
2 2 125 - - 76.9 84.2 9.1
2 3 125 - - 77.5 82.4 6.1
3 4 125 - - 1.6 1.5 -6.5
4 5 100 - - 70.7 74.3 5.0
5 6 125 - - 39.5 43.0 8.5
5 7 125 - - 41.5 46.1 10.5
6 8 125 - - 69.7 74.0 6.0
6 8 - - 2.5 63.3 67.8 6.9
7 9 125 - - 97.9 96.2 -1.8
7 9 - - 2.5 2.8 2.9 3.5
8 10 - 600 - 396.0 419.3 5.7
8 10 - - 2.5 46.8 46.9 0.2

aDrugs’ concentrations (ng/mL) quantified during the I and II analysis. (

bPercentage difference between the I and II quantification.

The concentrations of RIBO and LETRO obtained from the last sample (indicated in Table 7 as 5 and 6) resulted quite lower than the mean Cmin reported in literature for both drugs: RIBO concentration was 396.0 ng/mL while the population mean is 711 ng/mL [19], LETRO was measured at the concentration of 46.8 ng/mL while the reported mean is 107.0 ng/mL [11].

The quantifier/qualifier ions ratio calculated, for each analyte, in these patients’ samples was in line with those obtained from calibration curves and QCs: 20.8±2.2 for PALBO (reference value 20.3±3.0), 0.11 for the single RIBO sample (reference value 0.11±0.01) and 2.0±0.2 for LETRO (reference value 1.9±0.2).

Each of these 10 patients samples collected and analysed at present were further quantified in a second run, to assess the reproducibility of the proposed method by means of the ISR. In Table 7 ISR data are reported: the concentrations of PALBO, RIBO and LETRO obtained with the first and the second quantification along with the percentage differences calculated. Despite this test is limited by the low number of available samples, preliminary results seemed to indicate a good reproducibility of the method: the percentage differences were always within ±10% for all the analytes (between -6.5% and 10.5%) and the R2 of the correlation graph between the two quantifications was 0.9994 (Fig 5).

Fig 5. Correlation graph between the first and the second analysis of PALBO, RIBO and LETRO in patients’ samples (N = 6).

Fig 5

Conclusion

The first LC-MS/MS method for the simultaneous quantification of PALBO, RIBO and LETRO in human plasma was developed and successfully validated according to FDA/EMA guidelines [23,24]. Once overcome the PALBO and RIBO carryover issue by introducing blank samples to be run with a specifically developed washing method, calibration curves properly covered the in vivo concentrations of the drugs [6,11,1922]. The proposed method resulted linear over the concentration ranges of 0.3–250 ng/mL for PALBO, 10–10000 ng/mL for RIBO and 0.5–500 ng/mL for LETRO, while the only previously published method for the quantification of these CDKIs narrowed the concentration range to 2–200 ng/mL due to the carryover problem [18]. This method was applied to quantify Cmin of PALBO, RIBO and LETRO in 10 plasma samples from patients enrolled in a clinical study (CRO-2018-83) ongoing at the National Cancer Institute of Aviano. The ample calibration curve ranges allow to apply the proposed method in order to evaluate also other pharmacokinetic parameters or clinical query: among the study samples analysed, PALBO was detected at the concentration of 1.6 ng/mL after 1 week off treatment and LETRO was detected (2.8 ng/mL) after 2 week from the last pill intake. This simple and versatile analytical method could be an useful instrument to promote the personalization of the anticancer therapy.

Supporting information

S1 Table. Short term stability of PALBO, RIBO and LETRO.

(DOCX)

S2 Table. Stability after two freeze-thaw cycles.

(DOCX)

S3 Table. Long term stability (2 months) of PALBO, RIBO and LETRO: Analytes stored in human plasma at -80°C and working solutions (methanol) stored at -20°C.

(DOCX)

Acknowledgments

We warmly thank the patients for their participation in the clinical study and Dr. Sara Colò for her valuable assistance in revising English language. We also thank the "Ministero della Salute Ricerca Corrente" for its support.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Finn RS, Martin M, Rugo HS, Jones S, Im S-A, Gelmon K, et al. Palbociclib and Letrozole in Advanced Breast Cancer. N Engl J Med. 2016;375: 1925–1936. 10.1056/NEJMoa1607303 [DOI] [PubMed] [Google Scholar]
  • 2.Hortobagyi GN, Stemmer SM, Burris HA, Yap YS, Sonke GS, Paluch-Shimon S, et al. Updated results from MONALEESA-2, a phase III trial of first-line ribociclib plus letrozole versus placebo plus letrozole in hormone receptor-positive, HER2-negative advanced breast cancer. Ann Oncol Off J Eur Soc Med Oncol. 2018;29: 1541–1547. 10.1093/annonc/mdy155 [DOI] [PubMed] [Google Scholar]
  • 3.Cristofanilli M, Turner NC, Bondarenko I, Ro J, Im S-A, Masuda N, et al. Fulvestrant plus palbociclib versus fulvestrant plus placebo for treatment of hormone-receptor-positive, HER2-negative metastatic breast cancer that progressed on previous endocrine therapy (PALOMA-3): final analysis of the multicentre, double-blind, phase 3 randomised controlled trial. Lancet Oncol. 2016;17: 425–439. 10.1016/S1470-2045(15)00613-0 [DOI] [PubMed] [Google Scholar]
  • 4.Verheijen RB, Yu H, Schellens JHM, Beijnen JH, Steeghs N, Huitema ADR. Practical Recommendations for Therapeutic Drug Monitoring of Kinase Inhibitors in Oncology. Clin Pharmacol Ther. 2017;102: 765–776. 10.1002/cpt.787 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Groenland SL, van Nuland M, Verheijen RB, Schellens JHM, Beijnen JH, Huitema ADR, et al. Therapeutic Drug Monitoring of Oral Anti-Hormonal Drugs in Oncology. Clin Pharmacokinet. 2019;58: 299–308. 10.1007/s40262-018-0683-0 [DOI] [PubMed] [Google Scholar]
  • 6.Food and Drug Administration. Center for Drug Evaluationand Research. Palbociclib Clinical Pharmacology and Biopharmaceutics Review. 2014. https://www.accessdata.fda.gov/drugsatfda_docs/nda/2015/207103Orig1s000ClinPharmR.pdf
  • 7.Spring LM, Zangardi ML, Moy B, Bardia A. Clinical Management of Potential Toxicities and Drug Interactions Related to Cyclin-Dependent Kinase 4/6 Inhibitors in Breast Cancer: Practical Considerations and Recommendations. The Oncologist. 2017;22: 1039–1048. 10.1634/theoncologist.2017-0142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Nalanda RB, Srinivasa Rao A, Gowri Sankar D. Determination of palbociclib in human plasma using high performance liquid chromatography—ultraviolet detection. ijsrd—international journal of pharmaceutical science review and research. 2018: 3883–3888. [Google Scholar]
  • 9.Gorijavolu V, Gupta AK, Chowdary YA, Raviteja B. Estimation of Ribociclib in Human Plasma Samples by LC-ESI-MS/MS. J Chem Pharm Res. 2017;9. [Google Scholar]
  • 10.Bao X, Wu J, Sanai N, Li J. Determination of total and unbound ribociclib in human plasma and brain tumor tissues using liquid chromatography coupled with tandem mass spectrometry. J Pharm Biomed Anal. 2019;166: 197–204. 10.1016/j.jpba.2019.01.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Beer B, Schubert B, Oberguggenberger A, Meraner V, Hubalek M, Oberacher H. Development and validation of a liquid chromatography-tandem mass spectrometry method for the simultaneous quantification of tamoxifen, anastrozole, and letrozole in human plasma and its application to a clinical study. Anal Bioanal Chem. 2010;398: 1791–1800. 10.1007/s00216-010-4075-z [DOI] [PubMed] [Google Scholar]
  • 12.Precht JC, Ganchev B, Heinkele G, Brauch H, Schwab M, Mürdter TE. Simultaneous quantitative analysis of letrozole, its carbinol metabolite, and carbinol glucuronide in human plasma by LC-MS/MS. Anal Bioanal Chem. 2012;403: 301–308. 10.1007/s00216-012-5813-1 [DOI] [PubMed] [Google Scholar]
  • 13.Platova AI, Miroshnichenko II, Ptitsina SN, Yurchenko NI. Rapid and Sensitive LC-MS/MS Assay for Quantitation of Letrozole Using Solid-Phase Extraction from Human Blood Plasma and Its Application to Pharmacokinetic Studies. Pharm Chem J. 2014;48: 292–297. 10.1007/s11094-014-1097-4 [DOI] [Google Scholar]
  • 14.Shao R, Yu L, Lou H, Ruan Z, Jiang B, Chen J. Development and validation of a rapid LC-MS/MS method to quantify letrozole in human plasma and its application to therapeutic drug monitoring. Biomed Chromatogr BMC. 2016;30: 632–637. 10.1002/bmc.3607 [DOI] [PubMed] [Google Scholar]
  • 15.Vanol PG, Singhal P, Shah PA, Shah JV, Shrivastav PS, Sanyal M. SPE-UPLC-MS/MS assay for determination of letrozole in human plasma and its application to bioequivalence study in healthy postmenopausal Indian women. J Pharm Anal. 2016;6: 276–281. 10.1016/j.jpha.2016.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kumar Pal T. Bioanalytical Method Development and Validation of Letrozole by LC-ESI-MS/MS in Human Plasma. J Anal Pharm Res. 2017;4. [Google Scholar]
  • 17.Mondal N, Pal TK, Ghosal SK. Development and validation of RP-HPLC method to determine letrozole in different pharmaceutical formulations and its application to studies of drug release from nanoparticles. Acta Pol Pharm. 2009;66: 11–17. [PubMed] [Google Scholar]
  • 18.Martínez-Chávez A, Rosing H, Hillebrand M, Tibben M, Schinkel AH, Beijnen JH. Development and validation of a bioanalytical method for the quantification of the CDK4/6 inhibitors abemaciclib, palbociclib, and ribociclib in human and mouse matrices using liquid chromatography-tandem mass spectrometry. Anal Bioanal Chem. 2019. 10.1007/s00216-019-01932-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Samant TS, Dhuria S, Lu Y, Laisney M, Yang S, Grandeury A, et al. Ribociclib Bioavailability Is Not Affected by Gastric pH Changes or Food Intake: In Silico and Clinical Evaluations. Clin Pharmacol Ther. 2018;104: 374–383. 10.1002/cpt.940 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Infante JR, Cassier PA, Gerecitano JF, Witteveen PO, Chugh R, Ribrag V, et al. A Phase I Study of the Cyclin-Dependent Kinase 4/6 Inhibitor Ribociclib (LEE011) in Patients with Advanced Solid Tumors and Lymphomas. Clin Cancer Res Off J Am Assoc Cancer Res. 2016;22: 5696–5705. 10.1158/1078-0432.CCR-16-1248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tamura K, Mukai H, Naito Y, Yonemori K, Kodaira M, Tanabe Y, et al. Phase I study of palbociclib, a cyclin-dependent kinase 4/6 inhibitor, in Japanese patients. Cancer Sci. 2016;107: 755–763. 10.1111/cas.12932 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Desta Z, Kreutz Y, Nguyen AT, Li L, Skaar T, Kamdem LK, et al. Plasma letrozole concentrations in postmenopausal women with breast cancer are associated with CYP2A6 genetic variants, body mass index, and age. Clin Pharmacol Ther. 2011;90: 693–700. 10.1038/clpt.2011.174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Food and Drug Administration Center for Drug Evaluation and Research (CDER). Bioanalytical Method Validation Guidance for Industry. 2018. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/bioanalytical-method-validation-guidance-industry
  • 24.European Medicines Agency. Guideline on bioanalytical method validation. 2011. https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-bioanalytical-method-validation_en.pdf [DOI] [PubMed]
  • 25.Posocco B, Buzzo M, Follegot A, Giodini L, Sorio R, Marangon E, et al. A new high-performance liquid chromatography-tandem mass spectrometry method for the determination of paclitaxel and 6α-hydroxy-paclitaxel in human plasma: Development, validation and application in a clinical pharmacokinetic study. PloS One. 2018;13: e0193500 10.1371/journal.pone.0193500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Marangon E, Posocco B, Mazzega E, Toffoli G. Development and validation of a high-performance liquid chromatography-tandem mass spectrometry method for the simultaneous determination of irinotecan and its main metabolites in human plasma and its application in a clinical pharmacokinetic study. PloS One. 2015;10: e0118194 10.1371/journal.pone.0118194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kala A, Patel YT, Davis A, Stewart CF. Development and validation of LC-MS/MS methods for the measurement of ribociclib, a CDK4/6 inhibitor, in mouse plasma and Ringer’s solution and its application to a cerebral microdialysis study. J Chromatogr B Analyt Technol Biomed Life Sci. 2017;1057: 110–117. 10.1016/j.jchromb.2017.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chavan BB, Tiwari S, G S, Nimbalkar RD, Garg P, R S, et al. In vitro and in vivo metabolic investigation of the Palbociclib by UHPLC-Q-TOF/MS/MS and in silico toxicity studies of its metabolites. J Pharm Biomed Anal. 2018;157: 59–74. 10.1016/j.jpba.2018.05.008 [DOI] [PubMed] [Google Scholar]
  • 29.Williams JS, Donahue SH, Gao H, Brummel CL. Universal LC-MS method for minimized carryover in a discovery bioanalytical setting. Bioanalysis. 2012;4: 1025–1037. 10.4155/bio.12.76 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

John Matthew Koomen

6 Nov 2019

PONE-D-19-26156

Simultaneous quantification of palbociclib, ribociclib and letrozole in human plasma by a new LC-MS/MS method for clinical application

PLOS ONE

Dear Dr. Posocco,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please respond to all of the reviewer queries and provide all of the details for the method and the results that they have requested.  I have assigned this manuscript as minor revision, because no additional experiments appear to be necessary, but you will need to fully address the concerns raised by the reviewers.  As noted by one reviewer, it is helpful to the readers to have the manuscript evaluated by a colleague or editorial service for English grammar and usage, particularly as PLoS ONE does not edit manuscripts in this way prior to publication.

We would appreciate receiving your revised manuscript by Dec 21 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter.

To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). This letter should be uploaded as separate file and labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. This file should be uploaded as separate file and labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. This file should be uploaded as separate file and labeled 'Manuscript'.

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

We look forward to receiving your revised manuscript.

Kind regards,

John Matthew Koomen, PhD

Academic Editor

PLOS ONE

Journal Requirements:

1. When submitting your revision, we need you to address these additional requirements. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and http://www.journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please provide the product and lot numbers (if provided) of the palbociclib provided by Toronto Research Chemicals and Ribociclib and Letrozole provided by Merck-Sigma Aldrich.

3. In your Methods section, please provide additional information about the participant recruitment method and the demographic details of your participants. Please ensure you have provided sufficient details to replicate the analyses such as: a) a description of how participants were recruited, and b) descriptions of where participants were recruited and where the research took place.

4. Thank you for stating the following in the Competing Interests section:

I have read the journal's policy and the authors of this manuscript have the following competing interests: Dr. Fabio Puglisi reports grants from Astrazeneca and from Roche,  outside the submitted work.

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors present a quantitative LC/MS/MS method for the analysis of cyclin dependent 22 kinase inhibitors (CDKIs) palbociclib and ribociclib and the aromatase inhibitor letrozole in human plasma. The indicated assay has potential clinical utility with a short run time of 6.5 minutes and an analytical range that may support therapeutic drug monitoring for cancer patients receiving these drugs. The authors in future might consider reducing the calibration range to avoid carryover problems and then dilute anticipated higher concentration patient specimens into this range. Reducing the calibration range may lead to the use of linear regression vs the indicated quadratic regression. Parameters such as recovery, precision, accuracy, incurred sample reanalysis were adequately presented by the authors as per FDA and EMA guidance. Points of concern are described below.

Major issues:

1) Page 7 row 161. Please include a figure of the calibration curves for all analytes and a statement about why you are using quadratic curve fitting, and not linear. MS assays should ideally be linear. Small changes in signal intensity with a quadratic calibration curve can potentially lead to big changes in the calculated concentration in comparison to linear regression fitting.

2) Page 14 line 301. Was the source of carryover determined and could this be overcome with a needle washing or valve washing step during analysis? At what concentration was carryover not observed for PALBO and RIBO? Implementation for routine clinical use of this assay would require that carryover be effectively removed in the original sample injection.

3) Matrix effects were evaluated with healthy donor plasma. Were matrix effects observed if experiments were performed with patient specimen, lipemic plasma, or hemolyzed plasma?

4) Qualifier and quantifier MRMs were indicated. Please present data on the consistency of the quantifier/qualifier ratios across the indicated calibration range and also in patient specimens within batch(s).

5) The presented patient sample sized is quite small. Were there specimens from the same patients (or different patients) taking the indicated drugs collected near Cmax and analyzed using the presented calibration range? Or dilution of specimens near Cmax into the calibration range. Patient specimen 8 was above the indicated PALBO calibration range, was this sample diluted into the calibration range?

Minor issues and comments:

1) Figure quality is low, please input as higher dpi images

2) Table 6 second row should be “Population size and sex”

3) Page 4 row 75. Remove the word “actually”

4) Page 4 row 78. Change “185,5” to “185.5”

5) Page 7 row 152. Replace “Then, matrix effect was” with “The matrix effect was then”

6) Page 7 row 153 “The CV should be within 15%.” Include a reference or explanation as to why this should be 15%.

7) Page 7 row 166-167. Insert references (eg FDA and EMA guidance documents) regarding the pre-determined acceptance criteria

8) Page 7 row 171. Please indicate the method of S/N calculation

9) Page 9 row 219. Remove “till now”.

10) Page 10 row 226. Include ref to FDA and EMA regarding this criteria.

11) Page 11 row 249. Change “mg/die” to “mg/day” throughout paper.

12) Page 11 line 252. Calculate the retention factor (k) and include values for analytes.

13) Page 13 Table 4. Indicate if the N is from inter- or intra-day analysis of the calibration curve. Please also indicate the (Avg±SD) equation of the calibration curve regression model used across multiple days of analysis.

14) Page 16 line 348. Remove word “Anyway”

15) Please check entire document for grammatical errors.

Reviewer #2: Thank you for your submission. This manuscript is well written and statistically sound.

While you have increased the concentration range of your compounds, this use of the carryover wash step makes the method not feasibility well constructed for clinical application in certain environments. If I am understanding the method correctly, (line 314) two additional wash step runs need to be included after each unknown sample? This can cause extensive waste of mobile phases, column wear over time as well as instrument issues as the total run time of the entire batch will triple.

Line 310 says the washing method was developed to be utilized after ULOQ and unknown patient samples, however Line 314 says two of these washing methods are run back to back to prove no carryover exists. Please make clear whether one or two blank samples run with the washing method are essential after each unknown and ULOQ, for reproducibility purposes.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 Feb 7;15(2):e0228822. doi: 10.1371/journal.pone.0228822.r002

Author response to Decision Letter 0


20 Dec 2019

Review Comments to the Author

Reviewer #1: The authors present a quantitative LC/MS/MS method for the analysis of cyclin dependent 22 kinase inhibitors (CDKIs) palbociclib and ribociclib and the aromatase inhibitor letrozole in human plasma. The indicated assay has potential clinical utility with a short run time of 6.5 minutes and an analytical range that may support therapeutic drug monitoring for cancer patients receiving these drugs. The authors in future might consider reducing the calibration range to avoid carryover problems and then dilute anticipated higher concentration patient specimens into this range. Reducing the calibration range may lead to the use of linear regression vs the indicated quadratic regression. Parameters such as recovery, precision, accuracy, incurred sample reanalysis were adequately presented by the authors as per FDA and EMA guidance. Points of concern are described below.

Major issues:

1) Page 7 row 161. Please include a figure of the calibration curves for all analytes and a statement about why you are using quadratic curve fitting, and not linear. MS assays should ideally be linear. Small changes in signal intensity with a quadratic calibration curve can potentially lead to big changes in the calculated concentration in comparison to linear regression fitting.

As correctly pointed out by the Rewiever, the best curve fitting for MS assay should be the linear one. The use of a quadratic regression has been erroneously reported within the manuscript. Instead, a linear regression model has been used applying a weighted factor of 1/x2, due to the heteroscedatic error of the instrument (the calibration curve equation of each analyte has been reported). We apologize for the scarce clarity in this paragraph. An additional figure reporting example of calibration curve for each analytes has been added to the manuscript (Fig 3).

2) Page 14 line 301. Was the source of carryover determined and could this be overcome with a needle washing or valve washing step during analysis? At what concentration was carryover not observed for PALBO and RIBO? Implementation for routine clinical use of this assay would require that carryover be effectively removed in the original sample injection.

As properly underlined by the Reviewer, carryover should be completely removed in order to apply the proposed method to routine clinical use. To address the palbociclib and ribociclib carryover effect several attempts have been made, including: 1) increasing of rinse DIP time; 2) increasing of the rinse volume up to 2 mL with a loop of 50 µL; 3) testing different needle washing solutions. Nonetheless, the carryover effect was still present probably because its source was the column. The possibility to apply a different column type was also investigated. Unfortunately, the carryover effect was still present and the best performance, in terms of run time and peak separation, was obtained with the Luna Omega Polar C18 column. The concentration range reduction was not an option, in this case, since to reduce (<20% respect to the LLOQ) palbociclib and ribociclib signals in the blank sample run after the ULOQ we should not exceed 25 ng/mL for palbociclib and 1500 ng/mL for ribociclib. For this reason we added two washing blank samples after the ULOQ and after each unknown sample. As a result, the following blank sample was free from carryover effect.

3) Matrix effects were evaluated with healthy donor plasma. Were matrix effects observed if experiments were performed with patient specimen, lipemic plasma, or hemolyzed plasma?

We do test the matrix effect in haemolysed plasma, since it is not infrequent, in our experience, that both patients’ samples and healthy donors’ plasma are haemolysed. No matrix effect was observed in haemolysed plasma and pooled plasma (18 different healthy donor) used for calibration curves and QCs samples is composed also of some haemolysed plasma samples.

On the other hand, matrix effect was not tested in lipemic plasma or patients’ samples. This choice was determined by two reasons: 1) according to the clinical protocol blood sampling was conducted in association with routine blood tests and patients were asked to be fasting (thus reducing the incidence of lipemic plasma); 2) plasma matrix can be quite variable in lipid content during a whole PK curve while we collected only one specimen per patient with a specific timing and condition. Considering the overall low frequency of lipemic samples (0.5-2.5% from our experience and literature data) in addition to the peculiar blood sampling conditions, we considered the matrix effect test on lipemic plasma not needed (although required by the guidelines and properly remarked by the Reviewer).

It was not possible to test matrix effect in patients’ specimens since the clinical protocol was designed to collect blood samples containing drugs at the Cmin value (no free-drug pre-dose sampling).

4) Qualifier and quantifier MRMs were indicated. Please present data on the consistency of the quantifier/qualifier ratios across the indicated calibration range and also in patient specimens within batch(s).

The quantifier/qualifier ions ratio was calculated for each analyte and reported within the Results section (“LC-MS/MS method” paragraph, page 10) with the following sentence: “The quantifier/qualifier ions ratio was calculated across the calibration range (from LLOQ to A using 6 calibration curves) for each analyte: it resulted 20.3±3.0 for PALBO, 0.11±0.01 for RIBO and 1.9±0.2 for LETRO. Regarding RIBO, the fragment having lower intensity was chosen as quantifier ion to prevent signal saturation problem at higher concentrations.”

These values were confirmed in patients’ samples, as reported in Results section (“Application of the method to clinical samples and reproducibility” paragraph, page 18): “The quantifier/qualifier ions ratio calculated, for each analyte, in these patients’ samples was in line with those obtained from calibration curves and QCs: 20.8±2.2 for PALBO (reference value 20.3±3.0), 0.11 for the single RIBO sample (reference value 0.11±0.01) and 2.0±0.2 for LETRO (reference value 1.9±0.2).”

5) The presented patient sample sized is quite small. Were there specimens from the same patients (or different patients) taking the indicated drugs collected near Cmax and analyzed using the presented calibration range? Or dilution of specimens near Cmax into the calibration range. Patient specimen 8 was above the indicated PALBO calibration range, was this sample diluted into the calibration range?

The Reviewer’s comment regarding the small samples size is proper. Nonetheless, patients were recruited over only three months and the IRCCS C.R.O of Aviano was the only enrolling centre according to the clinical protocol. Blood samples were taken as near as possible to the Cmin (i.e. 24 h after the last pill intake). In fact all specimens (from both the same patient or different patients) were taken between 15 and 30 h from the last pill intake. We thank the Reviewer for his/her question regarding patient 8: there is actually a mistake in Table 7 since this patient was treated with ribociclib 600 mg/day (instead of palbociclib), thus the concentrations reported in Table (396.0 and 419.3 ng/mL) are related to this drug and are within the calibration range (10-10000 ng/mL). We apologize for the mistake.

Minor issues and comments:

1) Figure quality is low, please input as higher dpi images

Figure has been revised and checked with PACE.

2) Table 6 second row should be “Population size and sex”

Table 6 has been corrected as indicated by Reviewer #1.

3) Page 4 row 75. Remove the word “actually”

Done.

4) Page 4 row 78. Change “185,5” to “185.5”

Done.

5) Page 7 row 152. Replace “Then, matrix effect was” with “The matrix effect was then”

Done.

6) Page 7 row 153 “The CV should be within 15%.” Include a reference or explanation as to why this should be 15%.

The appropriate reference has been added to the text.

7) Page 7 row 166-167. Insert references (eg FDA and EMA guidance documents) regarding the pre-determined acceptance criteria

Done.

8) Page 7 row 171. Please indicate the method of S/N calculation

The Analyst software calculates the S/N ratio using Peak-to-Peak method taking the standard deviation of all the chromatographic data points between the specified background start and background end times (60 min before analyte peak). This sentence has been added to the text.

9) Page 9 row 219. Remove “till now”.

Done.

10) Page 10 row 226. Include ref to FDA and EMA regarding this criteria.

The appropriate references has been added to the text.

11) Page 11 row 249. Change “mg/die” to “mg/day” throughout paper.

Done.

12) Page 11 line 252. Calculate the retention factor (k) and include values for analytes.

Retention factors has been calculated and reported as indicated by the Reviewer. The following sentence has been added to the text: “With an unretained peak time of 0.43 min, the retention factor (k) was 3.5 for PALBO, 2.6 for RIBO and 4.1 for LETRO.”

13) Page 13 Table 4. Indicate if the N is from inter- or intra-day analysis of the calibration curve. Please also indicate the (Avg±SD) equation of the calibration curve regression model used across multiple days of analysis.

The 5 calibration curves used for the linearity estimation and reported in Table 4 with “N=5” belong both to the inter- and intra-day assessments. In fact, we used the first 4 inter-day assessments and the intra-day assessment. For this reason we did not specify whether N was from inter- or intra-day. Moreover, for clarity, we preferred not to introduce the concept of inter- and intra-day assessment before the corresponding paragraph. We hope this answer could satisfy the Reviewer’s requirement.

The calibration curve equation (Avg±SD) has been reported for each analyte within Table 4.

14) Page 16 line 348. Remove word “Anyway”

Done.

15) Please check entire document for grammatical errors.

The manuscript has been revised for English grammar.

Reviewer #2: Thank you for your submission. This manuscript is well written and statistically sound.

While you have increased the concentration range of your compounds, this use of the carryover wash step makes the method not feasibility well constructed for clinical application in certain environments. If I am understanding the method correctly, (line 314) two additional wash step runs need to be included after each unknown sample? This can cause extensive waste of mobile phases, column wear over time as well as instrument issues as the total run time of the entire batch will triple.

As properly underlined by the Reviewer, carryover should be completely removed in order to apply the proposed method to routine clinical use. Several attempts have been made to address the palbociclib and ribociclib carryover effect, including: 1) increasing of rinse DIP time; 2) increasing of the rinse volume up to 2 mL with a loop of 50 µL; 3) testing different needle washing solutions. Nonetheless, the carryover effect was still present probably because its source was the column. The possibility to apply a different column type was also investigated. Unfortunately, the carryover effect was still present and the best performance, in terms of run time and peak separation, was obtained with the Luna Omega Polar C18 column. The concentration range reduction was not an option, in this case, since to reduce (<20% respect to the LLOQ) palbociclib and ribociclib signals in the blank sample run after the ULOQ we should not exceed 25 ng/mL for palbociclib and 1500 ng/mL for ribociclib. Such a calibration range reduction determines the dilution necessity of the most of patients’ samples. For this reason we added two washing blank samples after the ULOQ and after each unknown sample. As a result, the following blank sample was free from carryover effect.

Line 310 says the washing method was developed to be utilized after ULOQ and unknown patient samples, however Line 314 says two of these washing methods are run back to back to prove no carryover exists. Please make clear whether one or two blank samples run with the washing method are essential after each unknown and ULOQ, for reproducibility purposes.

We apologize for the lack in clarity in the paragraph indicated by the Reviewer. The carryover was removed with 2 blank samples run with the specified washing method and a the following blank sample (a test sample for carryover) run with the quantification method showed no quantifiable peaks of PALBO and peaks of RIBO ≤15% respect to the LLOQ. Thus after ULOQ and each patient’s sample only two additional blank samples (washing method) needed to be run. Line 310 has been modified to increase the clarity for reproducible purpose, as suggested by the Reviewer.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

John Matthew Koomen

24 Jan 2020

Simultaneous quantification of palbociclib, ribociclib and letrozole in human plasma by a new LC-MS/MS method for clinical application

PONE-D-19-26156R1

Dear Dr. Posocco,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

With kind regards,

John Matthew Koomen, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors have adequately addressed the concerns for this manuscript. Alternative approaches to reducing carryover for these analytes should be considered in future.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Acceptance letter

John Matthew Koomen

30 Jan 2020

PONE-D-19-26156R1

Simultaneous quantification of palbociclib, ribociclib and letrozole in human plasma by a new LC-MS/MS method for clinical application

Dear Dr. Posocco:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. John Matthew Koomen

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Short term stability of PALBO, RIBO and LETRO.

    (DOCX)

    S2 Table. Stability after two freeze-thaw cycles.

    (DOCX)

    S3 Table. Long term stability (2 months) of PALBO, RIBO and LETRO: Analytes stored in human plasma at -80°C and working solutions (methanol) stored at -20°C.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES