Differential cerebrospinal fluid reactivity to PFDN5-alpha for detection of B-cell acute lymphoblastic leukemia

Information

  • Patent Grant
  • 10261086
  • Patent Number
    10,261,086
  • Date Filed
    Friday, January 10, 2014
    11 years ago
  • Date Issued
    Tuesday, April 16, 2019
    6 years ago
  • Inventors
    • Menon; Krishna Kumar N.
    • Xavier; Tessy
    • Haridasan; Adhwyth
  • Original Assignees
  • Examiners
    • Goddard; Laura B
    Agents
    • Convergence Intellectual Property Law P.C.
    • Garfinkel; Jonathan
Abstract
A method of managing treatment in a patient with B-cell acute lymphoblastic leukemia (B-ALL) for central nervous system (CNS) leukemia is disclosed. The method comprises obtaining cerebrospinal fluid (CSF) from the patient, obtaining a cell proteome including PFDN5-α from the patient, detecting reactivity of CSF against the PFDN5-α, comparing reactivity profile of CSF against the PFDN5-α at diagnosis and during treatment, and determining the status of proliferation of leukemia in the patient depending on the comparison. The method further comprises treating the patient for CNS leukemia based on the status of proliferation.
Description
CROSS-REFERENCES TO RELATED APPLICATIONS

This application is a 35 U.S.C. § 371 national stage filing of PCT Patent Application Number PCT/IB2014/058167, filed Jan. 10, 2014, which claims the benefit and priority of the following: Indian patent application no. 155/CHE/2013, filed on Jan. 10, 2013, the full disclosure of which is incorporated herein by reference.


FIELD OF THE INVENTION

This disclosure relates generally to medical diagnostics and particularly to a method of identifying the prevalence and relapse of B-cell-acute lymphoblastic leukemia.


DESCRIPTION OF THE RELATED ART

Acute lymphoblastic leukemia is one of the curable forms of leukemia. However, relapse occurs in 20% of the patients at extramedullar sites such as central nervous system (CNS) leading to CNS leukemia. Without effective CNS-directed therapy, 50% to 70% of children originally diagnosed with lymphoblastic leukemia will develop leukemia within the CNS. Currently, intrathecal injection of drugs is given prophylactically to patients diagnosed with B-ALL to prevent the CNS involvement. Prophylactic treatment can be avoided if prediction of CNS involvement is possible. The prophylactic treatment results in grievous side effects such as secondary neoplasms, neurocognitive dysfunction, neurotoxic effects, many endocrine diseases, growth impairment and thyroid dysfunction.


The discovery of biomarkers that predicts the progress of disease, classification into diverse risk groups, and identification of CNS malignancy in populations plays an important role in the adept analysis and designing of better treatment options. PFDN5-α, a member of the prefoldin alpha subunit family, is a heterohexameric co-chaperone which primarily aids in proper folding of nascent proteins, primarily actin and tubulin. PFDN5-α otherwise known as myc-modulating (MM-1) protein, has been reported to have a trans-repression activity towards the proto-oncogene c-myc. Human PFDN5-α is a 154 amino acid protein, with the genomic position at 12q12. Repression of E-box mediated transcription of the proto-oncogene c-myc, on interaction with PFDN5-α, implies its critical role in cancers (K Mori, 1998; Satou, 2001). Mutations of this gene have been reported to be present in 50-60% of leukemia/lymphomas and in more than 75% of squamous cell carcinoma of tongue cancer (Y Fujioka, 2001). Mutant murine PFDN5-α was demonstrated to have a role in CNS abnormalities (YS Lee, 2011).


The invention described herein provides for methods by which early detection of the possibility of developing CNS leukemia in B-ALL patients.


SUMMARY OF THE INVENTION

A method of detecting leukemia of the central nervous system (CNS) in B-cell acute lymphoblastic leukemia patients is disclosed, comprising, obtaining a sample of cerebrospinal fluid (CSF) from a patient, applying the sample to a leukemic cell proteome including PFDN5-α from the patient, detecting reactivity of CSF with the PFDN5-α and determining the status of proliferation of leukemia in the patient depending on the level of reactivity. The patient is detected as negative for central nervous system leukemia if the reactivity of CSF with the PFDN5-α is positive and the patient is detected as positive for CNS leukemia if the reactivity of CSF with the PFDN5-α is below a threshold of significance. Detecting reactivity of CSF with the PFDN5-α may comprise testing using far western blot test, a pull down assay, an ELISA test or immunoprecipitation.


A method of managing treatment in a patient with B-cell acute lymphoblastic leukemia (B-ALL) for central nervous system (CNS) leukemia is disclosed, comprising obtaining cerebrospinal fluid (CSF) from the patient, obtaining a cell proteome including PFDN5-α from the patient, detecting reactivity of CSF against the PFDN5-α, comparing reactivity profile of CSF against the PFDN5-α at diagnosis and during treatment, determining the status of proliferation of leukemia in the patient depending on the comparison, and treating the patient for CNS leukemia based on the status of proliferation. The patient is detected as negative for central nervous system leukemia if the reactivity of CSF with the PFDN5-α is positive and the patient is detected as positive for CNS leukemia if the reactivity of CSF with the PFDN5-α is below a threshold of significance. The method of may comprise detecting reactivity of CSF with the PFDN5-α using far western blot test, a pull down assay, an ELISA test or immunoprecipitation.


A method of obtaining a high level of expression of PFDN5-α gene is disclosed comprising, inserting the cDNA into an expression vector with a promoter, a transcription/translation terminator, and a ribosome binding site in a medium; replicating the cDNA of PFDN5-α in the medium, and purifying the PFDN5-α-enriched medium. The expression vector may comprise E. coli or other organism for harboring the recombinant plasmid, with genes to allow the insertion of eukaryotic sequences.


A kit for enzyme-linked immunosorbent assay (ELISA) detecting the presence of central nervous system leukemia in a patient with B-cell acute lymphoblastic leukemia (B-ALL) is disclosed comprising, a first container for receiving a cell proteome including PFDN5-α from a patient, a second container for receiving a sample of cerebrospinal fluid (CSF) from the patient, a reaction tube configured to mix the cell proteome and the CSF, an optical reading means for observing the reactivity within the reaction tube, and instructions for performing the assay.





BRIEF DESCRIPTION OF THE DRAWINGS

The invention has other advantages and features that will be more readily apparent from the following detailed description of the invention and the appended claims, when taken in conjunction with the accompanying drawings, in which:



FIG. 1 is a schematic of the general method of identifying CNS proliferation of disease in a patient with B-cell acute lymphoblastic leukemia (B-ALL).



FIG. 2 illustrates far Western blot test results of A) B-ALL patient at presentation, B) B-ALL patient with CNS relapse and C) relapsed patient after treatment.



FIG. 3 illustrates consistency in the CSF reactivity profile showing very little or no reactivity in CNS proliferation (A1, B1, D1) and relapse cases (C2) and significantly high reactivity in remission cases after treatment (A4, B3, C3, D3).



FIG. 4 shows quantitative data (arbitrary units) on difference in the levels of CSF reactivity to PFDN5-α under presentation/relapse and remission conditions.



FIG. 5 shows CSF reactivity by ELISA test to PFDN5-α using samples with CNS involvement.



FIG. 6 shows CSF reactivity by ELISA test to PFDN5-α using samples free of CNS involvement.



FIG. 7 shows compiled ELISA results showing comparison between CSF reactivity to PFDN5-α of samples with CNS leukemia and without CNS leukemia involvement, samples from treated patients and control samples without any malignancy.





DETAILED DESCRIPTION

The present disclosure relates to methods and kits for predicting the likelihood of B-ALL patients to undergo CNS relapse. In some aspects, the method uses the reactivity of CSF drawn from the patient to PFDN5-α gene from the leukemia proteome. The CSF from a patient with proliferative disease shows little or no reactivity to PFDN5-α in comparison with a significantly high reactivity of a remission sample with no nervous system proliferation. In some aspects, the method can be used to track disease progression in B-cell acute lymphoblastic leukemia patients throughout the duration of chosen therapy, specifically aiding in classifying CNS-relapse or high risk groups.


In some aspects, methods and kits utilize CSF reactivity patterns to lymphoblast cell proteome, and its association with disease adversity to track disease progression. More specifically, the disclosure described herein provides methods and kits by which early detection of the possibility of developing CNS leukemia in B-ALL patients.


Definitions


The term “PFDN5-α” refers to the polypeptide (SEQ ID NO: 1) of PFDN5-α subunit family encoded by PFDN5-α gene (SEQ ID NO: 2). The encoded protein is one among the six subunits of molecular chaperone complex, PFDN5-α which is involved in the stabilization and proper folding of cytoskeletal proteins. The protein also has a trans-repressional activity to proto-oncogene, c-myc.


“CNS disease/relapse” designates the condition where B-ALL cells have infiltrated the CNS. CNS relapse occurs in less than 10% of acute leukemia cases and requires additional therapy to treat the condition.


The term “CSF at Presentation” indicates, B-ALL CSF samples collected at the time of diagnosis. During this time the patient is clinically ‘positive for malignancy’ and is very likely to have high percentage of lymphoblasts in the peripheral blood and bone marrow.


The term “CSF at Relapse” is used to point out samples collected at the time of relapse from the B-ALL patient. This condition is also clinically hallmarked with high level of blasts especially in the CNS.


“CSF at Remission” is used to designate B-ALL CSF samples from patients with no observable disease pathophysiology after treatment. In this condition there are no blasts or atypical cells in the peripheral blood and bone marrow and hence denoted as clinically normal.


“Differential Reactivity” refers to variation in CSF reactivity towards PFDN5-α, at different stages of the disease like Presentation/Relapse and Remission.


Detection of CSF Reactivity to PFDN5-α


In one embodiment of the method, a sample of CSF from a B-ALL patient is collected and tagged with biotin as an unbiased sample. The leukemic cell proteome is then incubated with a second sample of biotinylated CSF overnight and incubated with HRP conjugated Streptavidin for a specified time. The reactivity pattern of the leukemic cells with the CSF is then captured and compared with that of the unbiased sample.


The proteins from the leukemic cell that show a differential reactivity of the CSF contain PFDN5-α corresponding to negative CNS leukemia or remission cases, while those samples with less or no reactivity to PFDN5-α correspond to those positive for CNS leukemia at presentation/relapse.


In some embodiments, the method described above is implemented using any known way of detecting protein-protein interactions such as far-western blot test, pull down assay, ELISA, immunoprecipitation or other method known in the art. In one aspect, to obtain a high level of expression of PFDN5-α, a cDNA is inserted into an expression vector with a strong promoter to direct transcription, a transcription/translation terminator, and a ribosome binding site for translational initiation. Additional elements that are typically included in the expression vectors include the Ori site which functions in E. coli, antibiotic resistance gene that permit the selection of bacteria harboring the recombinant plasmid, and unique restriction sites in non-essential regions of the plasmid to allow the insertion of eukaryotic sequences. Subsequently, the expressed PFDN5-α is purified.


In some embodiments, CSF reactivity to PFDN-α is detected using far-western blot test. CSF samples from B-ALL patients are tagged with biotin as an unbiased approach. The leukemic cell proteome on a 2D blot is then incubated with a second sample of the biotinylated CSF overnight. The blot is washed and incubated with HRP conjugated Streptavidin for specified time and incubated with chemiluminescent reaction mixture. The reactivity pattern is then captured on contact X-ray film and compared with the unbiased sample.


In some embodiments, the identification of PFDN-α interacting partners in leukemic patient CSF samples are accomplished by pull down assay using recombinant PFDN5-α. In a pull down assay, the purified his-tagged PFDN5-α is added to the B-ALL CSF and the PFDN5-α interacting partner complex is further precipitated using nickel affinity beads. The proteins or molecules associated with the protein of interest will also be pulled down. The co-precipitated protein can be further identified by western blotting or mass spectrometry or by sequencing of the purified interacting protein.


In some embodiments, the identification of PFDN5-α interacting partners in B-ALL patient CSF samples is accomplished using ELISA method. In one aspect, PFDN5-α interacting partner in the B-ALL CSF is identified by interacting purified PFDN5-α with CSF from patients and measured using a suitable method. The reactivity of the purified PFDN5-α with B-ALL CSF samples may be facilitated by coating the purified PFDN5-α onto ELISA plates, for example. The protein reactivity is identified by a method such as such as optical density or mass spectrometry.


In some embodiments, the identification of PFDN5-α interacting partners in B-ALL patient CSF samples is carried out using immunoprecipitation method. In one aspect, PFDN5-α interacting partner in the B-ALL CSF is identified by interacting purified PFDN5-α with B-ALL CSF from patients and subsequent immunoprecipitation using anti-PFDN5-α antibodies in conjunction with protein A/G and agarose/sepharose beads. Subsequently, the components of the complex are identified by a suitable technique such as optical density, mass spectrometry or other known way of quantifying the reactivity.


In some embodiments, B-ALL CSF reactivity to PFDN5-α protein is used for prognosis or early prediction of CNS disease and for the assortment of patients into different risk groups. For example, the high reactivity to PFDN5-α prognosticates reduced chance of CNS progression and reduced or no reactivity to the same protein in patients undergoing treatment predicts a high risk or the likelihood for CNS disease. The differential reactivity pattern of B-ALL patients to PFDN5-α under different conditions may facilitate the clinicians to stratify the patients into a range of risk groups and aiding them in tailoring the therapeutic regimen according to the patient's assigned risk-group. This could enable clinicians to choose a correct treatment strategy to specifically target the infiltration and monitor the progression after treatment. The identification of the interacting partners of PFDN5-α in the CSF may also help in understanding the biochemistry behind the CNS disease.


Embodiments of the invention are further illustrated in the foregoing examples. The genetic and protein sequences used in the invention are delineated separately.


Example 1: Far-Western Detection of CSF Reactivity to PFDN5-α: CSF Reactivity Profile to Lymphoblastic Proteins on a 2D Blot

CSF samples from B-ALL patients were collected in a sequential manner and tagged with biotin as an unbiased approach. The leukemic cell proteome on a 2D blot was incubated with the biotinylated CSF overnight. The blot was washed three times with Tris Buffered Saline (TBS) containing 0.2% Tween 20 and incubated with HRP conjugated Streptavidin for 30 minutes. Again washed in TBST for three times and incubated with chemiluminescent reaction mixture for 1-2 minutes. The reactivity pattern was captured on an X-ray film and compared. Here the leukemic cell proteins on a 2D blot was probed with biotinylated CSF samples from B-ALL patients and detecting the binding affinity of the partners by means of a chemiluminescent reaction.


The results of the blot testing for three patients corresponding to samples A, B and C at different clinical status are shown in FIG. 2A to 2C. In the three figures, the encircled region towards the lower portion corresponds to PFDN5-α reaction. As shown in FIG. 2A, the first sample corresponding to a leukemic patient without CNS leukemia and the third sample corresponding to a patient free of leukemia after treatment (FIG. 2C) show strong PFDN5-α reaction or binding as evidenced by pronounced darkening of the X-ray film at the circled locations. In contrast, sample B corresponding to a patient with CNS leukemia at relapse (FIG. 2B) shows only trace reaction at the PFDN5-α location.


The proteins in the encircled regions that showed a differential reactivity on the blot were further analyzed by mass spectrometry and found to contain PFDN5-α. The montage shown in FIG. 3 presents further results from four different patients illustrating application of embodiments of diagnostic methods. Patients 1 to Patient 4 were tested using the embodiments of the invention using the far-western blot test at various stages of treatment, in which absence of reaction showed positive for CNS leukemia and strong reaction showed its absence. The initial stage “At Presentation” tested positive in three cases (A1, B1, and D1), while C1 tested slightly positive and C2 positive because of relapse. The “After Treatment” results were rendered negative (A4, B3, C3, and D3) in all cases because of remission. The experimental results demonstrate that the differential reactivity test results are consistent across patients and different samples and in line with the clinical observations.


Example 2: Image J Quantification of CSF Reactivity to Lymphoblastic Proteins on the 2D Blot

In some embodiments, in order to quantify the extent of CSF reactivity shown in FIG. 2, NIH ImageJ software was used. The optical density at the reactive spot corresponding to PFDN5-α was measured using the ImageJ software by making a selection on the spot. Then the background darkening of the same blot was subtracted from the PFDN5-α value and the resulting value considered as PFDN5-α value. Along with this, another spot corresponding to GAPDH which showed reactivity in almost all conditions irrespective of presentation/relapse and remission was also measured in the same way as mentioned above. The value corresponding to GAPDH was used for normalizing the value of PFDN5-α of each sample.


The calculation was done as follows:








N

PFDN





5

α


=



V

PFDN





5

α



V
GAPDH


×

M
GAPDH



,





where


NPFDN5α is normalized value of PFDN5-α


VPFDN5α is value of PFDN5α


VGAPDH is value of GAPDH


MGAPDH is mean value of GAPDH for that particular patient









TABLE 1







Image J Quantification Values and Normalization with GAPDH


















PFDN5α after

GAPDH after







background

background
normalized



CSF
Background
PFDN5α
subtraction
GAPDH
subtraction
value


















Patient 1
A1
83.1
85.348
2.248
181.628
98.528
2.515



(CNS



involvement)



A2
92.047
173.168
81.121
175.991
83.944
106.55



A3
42.086
155.668
113.582
200.776
158.69
78.92



A4
83.079
113.471
30.392
182.959
99.88
33.55








Avg - 110.26


Patient 2
B1
65.284
234.555
169.271
223.555
158.271
153.56



B2
83.094
111.218
28.124
232.218
149.124
27.08



(CNS



involvement)



B3
116.842
246.677
129.835
240.19
123.348
151.13








Avg - 143.58


Patient 3
C1
103.593
142.333
38.74
245.926
142.333
46.23



C2
60.764
249.797
189.033
248.815
188.051
170.73



C3
62.906
252.155
189.249
242.048
179.142
179.42








Avg - 169.84


Patient 4
D1
81.797
84.682
2.885
220.335
138.538
1.958



D2
103.134
211.377
108.243
245.452
142.318
71.53



D3
51.106
249.793
198.687
52.407
1.301
14363.548









(not taken









due to low









GAPDH









values)








Avg - 94.05









For calculating the values corresponding to presentation/relapse, the values in Table 1 corresponding to A1, B2, C1 and D1 were averaged and the corresponding values are given in Table 2. Likewise the average of A2, A3, A4, B1, B3, C2, C3 and D2 were also calculated as representative of remission cases in Table 2. The value of D3 was excluded for calculating the average of remission value because it was numerically much higher after normalization with GAPDH because of low GAPDH reactivity.









TABLE 2







Average Values of CSF Reactivity at


Presentation/Relapse and Remission










Presentation/Relapse
Remission














Avg
19.44506785
118.1750816



SD
21.35370972
53.27088725



SE
5.338427431
6.658860906









A quantitative measure of the reactivity tested as illustrated in FIGS. 2 and 3 is shown in FIG. 4, where the difference in the levels of CSF reactivity to PFDN5-α under presentation/relapse and remission conditions is observed. The results of the respective cases are also summarized in Table 3. In the table, the reactivity test results with comments are shown against the sample condition for the four different patients corresponding to the data shown in Table 1 and 2. The average values of these two conditions were plotted on a graph as shown in FIG. 4.









TABLE 3







Summary of CSF Reactivity Tests for PFDN5-α


in Four Patients at Various Stages of Treatment











Condition
PATIENT-1
PATIENT-2
PATIENT-3
PATIENT-4





At
A1 -
B1 -
C1 -
D1 -


Presentation
positive
positive
negative
positive


After
A2 -
B2 -
C2 -
D2 -


Treatment
positive
negative
positive
negative





relapsed



After
A3 -
B3 -
C3 -
D3 -


Treatment
positive
negative
negative
negative




remission
remission
remission


After
A4 -





Treatment
negative






remission









Example 3: Far-Western Analysis Using Bacterially Expressed Pure PFDN5-α Protein: Results of ELISA Quantification

In some embodiments, in order to validate and confirm the results of differential reactivity to PFDN5-α observed with and without CNS involvement on the 2D-blot tests, an alternative ELISA analysis was carried out. 5 patients with CNS involvement and 13 patients without CNS involvement and their corresponding sequential treated samples were used for ELISA quantification.


Quantifications of CSF reactivity to PFDN5-α using samples from patients with CNS involvements are now described. Patients 1, 2, 5, 6, and 7 had CNS involvement either at presentation or as relapse. The reactivity to PFDN5-α at the time of CNS involvement and following treatment were used for ELISA quantification.


Patient 1


In Patient 1, CNS involvement was at diagnosis/presentation. Then sequential samples from the same patient following treatment were also collected and analyzed by ELISA along with the sample at presentation and the optical density values (OD) are shown in Table 4.









TABLE 4







OD values of samples at diagnosis with CNS involvement


and samples following treatment of Patient 1













CNS







involvement
Treatment 1
Treatment 2
Treatment 3
Treatment 4


Patient 1
at diagnosis
after relapse
after relapse
after relapse
after relapse















OD1
0.072093939
0.189274621
0.069362667
0.190000606
0.054497522


OD2
0.078765899
0.224524095
0.090356024
0.17599947
0.052742044


OD3
0.061397576
0.196764941
0.086614361
0.159111464
0.053930303


Avg
0.070752471
0.203521219
0.082111017
0.17503718
0.05372329


SD
0.008761525
0.01857059
0.011197783
0.015467038
0.000895861


SE
0.002920508
0.006190197
0.003732594
0.005155679
0.00029862









Patient 2


In Patient 2, the CNS disease occurred as relapse. Samples were analyzed a) before CNS relapse, b) at CNS relapse, c) after treatment (stage 1) and d) after treatment (stage 2) and used for the quantification according to results in Table 5.









TABLE 5







OD Values of CSF Samples at Different


Stages of the Disease of Patient 2












Treatment
CNS
Treatment 1
Treatment 2


Patient 2
before relapse
relapse
after relapse
after relapse














OD1
0.19781939
0.045271708
0.061117306
0.11933318


OD2
0.255567835
0.043498783
0.087574684
0.108585782


OD3
0.259014613
0.045989491
0.076267717
0.102199397


Avg
0.23746728
0.044919994
0.074986569
0.110039453


SD
0.034379303
0.001282062
0.013275135
0.008658897


SE
0.011459768
0.000427354
0.004425045
0.002886299









Patient 5


For Patient 5, apart from the initial relapse stage, five stages of treatment were sampled as listed in Table 6.









TABLE 6







OD values of CSF samples at relapse and following treatment of Patient 5















Treatment 1
Treatment 2
Treatment 3
Treatment 4
Treatment 5


Patient 5
CNS relapse
after relapse
after relapse
after relapse
after relapse
after relapse
















OD1
0.056269744
0.054726638
0.066538392
0.082752726
0.282847311
0.157355464


OD2
0.063634721
0.048985299
0.062744181
0.078142328
0.319791375
0.126426612


OD3
0.058610146
0.045518392
0.061913352
0.075633443
0.324437649
0.132196569


Avg
0.05950487
0.049743443
0.063731975
0.078842833
0.309025445
0.138659548


SD
0.003763127
0.004650702
0.002465675
0.003610966
0.022789646
0.016446156


SE
0.001254376
0.001550234
0.000821892
0.001203655
0.007596549
0.005482052









Patient 6


For Patient 6, the relapse sample and three treatment stages were tested.









TABLE 7







OD values of CSF samples at relapse


and following treatment of Patient 6












CNS
Treatment 1
Treatment 2
Treatment 3


Patient 6
relapse
after relapse
after relapse
after relapse














OD1
0.044652771
0.144647171
0.082254556
0.101113189


OD2
0.046736527
0.118269878
0.070373963
0.088399207


OD3
0.040467808
0.109497423
0.079897614
0.10901588


Avg
0.043952369
0.124138157
0.077508711
0.099509425


SD
0.003192512
0.018294909
0.006290251
0.010401483


SE
0.001064171
0.006098303
0.00209675
0.003467161









Patient 7


In Patient 7, CNS leukemia occurred as relapse. Before relapse, samples were received from the same patient following treatment after the diagnosis of the disease. Thereafter, the patient had CNS relapse and underwent further treatment. The test results in Table 8 therefore include those from samples before CNS relapse, diagnosed with CNS disease and samples following treatment after relapse.









TABLE 8







OD values of CSF samples at different stages of the disease of Patient 7
















T-1
T-2









before
before
CNS
T-1 after
T-2 after
T-3 after
T-4 after
T-5 after


P-7
relapse
relapse
relapse
relapse
relapse
relapse
relapse
relapse


















OD1
0.072261
0.057669
0.109126
0.076589
0.155417
0.324050
0.279809
0.390513


OD2
0.068079
0.052786
0.106092
0.073678
0.141397
0.302006
0.310618
0.324993


OD3
0.061354
0.051895
0.075878
0.066616
0.1474547
0.293597
0.278942
0.327914


Avg
0.067231
0.054117
0.0970328
0.072294
0.1480897
0.306551
0.289790
0.347807


SD
0.005503
0.003108
0.0183838
0.005128
0.007037
0.015727
0.018043
0.037014


SE
0.001834
0.001036
0.006128
0.001709
0.002344
0.005242
0.006014
0.012338









The average of triplicate OD measurement of each condition (relapse, following treatment etc.) of these patients were selected for plotting the graph. The standard error (SE) values were used to plot the error bars. The compiled data for the five patients is given in Table 9 and also shown graphically in FIG. 5. It is observed that there is definite and clear change in reactivity with treatment between the samples at diagnosis and those after treatment, with the latter showing significantly higher reactivity by ˜50% higher OD value.









TABLE 9







Average OD values of different clinical conditions of different patients


with CNS involvement
















T-1
T-2









before
before
CNS
T-1 after
T-2 after
T-3 after
T-4 after
T-5 after


Patient
relapse
relapse
involvement
relapse
relapse
relapse
relapse
relapse





1


0.070752
0.203521
0.082111
0.175037
0.053723



2

0.237467
0.044920
0.074987
0.110039


5


0.059505
0.049743
0.063732
0.078843
0.309025
0.138660


6


0.043952
0.124138
0.077509
0.099509


7
0.067231
0.054117
0.097032
0.072294
0.148089
0.306551
0.289790
0.347807









Quantifications of CSF Reactivity to PFDN5α Using Samples from Patients without CNS Involvement are Now Described.


Patients 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 and 18 were cases without CNS involvement. The presentation/diagnostic sample and the sequential samples are collected following treatment. The samples at presentation and sequential samples following treatment of all these patients were used for ELISA quantification and the results are shown in Table 10.









TABLE 10







OD values of patients without CNS involvement











Patient
Presentation
Treatment 1
Treatment 2
Treatment 3














Patient 3






OD1
0.092321655
0.149950579
0.040747985
0.330751099


OD2
0.09083777
0.147815376
0.045167792
0.355502843


OD3
0.137384524
0.115677501
0.045220979
0.369175754


Avg
0.106847983
0.137814486
0.043712252
0.351809899


SD
0.026455826
0.019200894
0.002567268
0.019476702


SE
0.008818609
0.006400298
0.000855756
0.006492234


Patient 4






OD1
0.142866202
0.190066383




OD2
0.147374053
0.181811507
0.092723306



OD3
0.12528115
0.201217536
0.116620457



Avg
0.138507135
0.191031808
0.104671881



SD
0.011673696
0.009738969
0.016897837



SE
0.003891232
0.003246323
0.008448919



Patient 8






OD1
0.08773261
0.107096411

0.138701797


OD2
0.096871522
0.088413903
0.145450545
0.10215847


OD3
0.080491793
0.085136816
0.148231233
0.090316538


Avg
0.088365308
0.093549043
0.146840889
0.110392268


SD
0.008208173
0.011846232
0.001966244
0.025221616


SE
0.002736058
0.003948744
0.000983122
0.008407205


Patient 9






OD1
0.054485938
0.05913601

0.092502085


OD2
0.059978521
0.054080231
0.099385094
0.078092436


OD3
0.063241159
0.057194248
0.094714468
0.095660838


Avg
0.059235206
0.056803496
0.097049781
0.088751786


SD
0.004424688
0.002550439
0.003302631
0.009365402


SE
0.001474896
0.000850146
0.001651315
0.003121801


Patient 10






OD1
0.156445856
0.127807289
0.090439599
0.207212391


OD2
0.135020946
0.123085585
0.090712936
0.149794654


OD3
0.11677093
0.109851972
0.074837263
0.176499486


Avg
0.136079244
0.120248282
0.085329933
0.17783551


SD
0.019858624
0.00930785
0.009087946
0.028732174


SE
0.006619541
0.003102617
0.003029315
0.009577391


Patient 11






OD1
0.165878678

0.207892746



OD2
0.166360162
0.187634328
0.215832332



OD3
0.151577363
0.153406808
0.205556403



Avg
0.161272068
0.170520568
0.209760494



SD
0.008399311
0.024202512
0.005386561



SE
0.00279977
0.012101256
0.00179552



Patient 12






OD1
0.068812222
0.06197763
0.065597521
0.066460135


OD2
0.0670312
0.064832634
0.067638868
0.069772712


OD3
0.104657283
0.068492864
0.067657527
0.083146118


Avg
0.080166902
0.065101043
0.066964639
0.073126322


SD
0.021227979
0.003265899
0.001183996
0.008834055


SE
0.007075993
0.001088633
0.000394665
0.002944685


Patient 13






OD1
0.076821548
0.07293506
0.063906491
0.081057172


OD2
0.078493032
0.075286723
0.065599758
0.091074711


OD3
0.088018512
0.070451936
0.072364482
0.072620891


Avg
0.081111031
0.07289124
0.067290243
0.081584258


SD
0.006040152
0.002417691
0.004475233
0.009238194


SE
0.002013384
0.000805897
0.001491744
0.003079398


Patient 14






OD1
0.166207923
0.099995722
0.115596646
0.119013801


OD2
0.152603483
0.097128323
0.115593345
0.121302527


OD3
0.142553509
0.080859777
0.12716795
0.121897037


Avg
0.153788305
0.092661274
0.119452647
0.120737788


SD
0.011871633
0.010320465
0.006681649
0.001522321


SE
0.003957211
0.003440155
0.002227216
0.00050744


Patient 15






OD1
0.152580878
0.079342617
0.105461965
0.096354068


OD2
0.143911951
0.072425326
0.1128678
0.112861357


OD3
0.157141971
0.076660182
0.132366132
0.115779289


Avg
0.1512116
0.076142708
0.116898632
0.108331571


SD
0.009355037
0.002994495
0.013787403
0.00206329


SE
0.004677518
0.001497248
0.006893701
0.001031645


Patient 16






OD1
0.165962278
0.11183246
0.149262811
0.183949453


OD2
0.208005927
0.110539599
0.155995493
0.177025366


OD3
0.172468685
0.154051286
0.185351286
0.162005294


Avg
0.18214563
0.125474448
0.16353653
0.174326704


SD
0.022630721
0.024756708
0.019189709
0.011218227


SE
0.007543574
0.008252236
0.00639657
0.003739409


Patient 17






OD1
0.180190984
0.197047065
0.19755663
0.173385827


OD2
0.186190616
0.197226998
0.192501111
0.159678892


OD3
0.161294958
0.203063993
0.213007072
0.221114958


Avg
0.175892186
0.199112685
0.201021604
0.184726559


SD
0.012992621
0.003423115
0.010683077
0.03224991


SE
0.004330874
0.001141038
0.003561026
0.01074997


Patient 18






OD1
0.123727995
0.138098623
0.096449682
0.114650653


OD2
0.135726098
0.126393661
0.103206767
0.116988145


OD3
0.141913949
0.111297168
0.092846872
0.119172184


Avg
0.133789347
0.125263151
0.097501107
0.116936994


SD
0.009246377
0.013436444
0.005259371
0.0022612


SE
0.003082126
0.004478815
0.001753124
0.000753733









The average of triplicate OD measurements of each condition for these patients was plotted on a graph as shown in FIG. 6. The standard error (SE) values were used to plot the error bars. The compiled data for the graphical representation is given below in Table 11. The data in FIG. 6 show that in the patients where there was no CNS disease involvement, there was either significant reactivity in all cases or no significant change in reactivity at different treatment stages, unlike in the data for CNS diseased patients shown in FIG. 5.









TABLE 11







Average OD values of patients at different clinical conditions


which were used for the graphical representation











Patient
Presentation
Treatment 1
Treatment 2
Treatment 3














Patient 3
0.106847983
0.137814486
0.043712252
0.351809899


Patient 4
0.138507135
0.191031808
0.104671881



Patient 8
0.088365308
0.093549043
0.146840889
0.110392268


Patient 9
0.059235206
0.056803496
0.097049781
0.088751786


Patient 10
0.136079244
0.120248282
0.085329933
0.17783551


Patient 11
0.161272068
0.170520568
0.209760494



Patient 12
0.080166902
0.065101043
0.066964639
0.073126322


Patient 13
0.081111031
0.07289124
0.067290243
0.081584258


Patient 14
0.153788305
0.092661274
0.119452647
0.120737788


Patient 15
0.1512116
0.076142708
0.116898632
0.108331571


Patient 16
0.18214563
0.125474448
0.16353653
0.174326704


Patient 17
0.175892186
0.199112685
0.201021604
0.184726559


Patient 18
0.133789347
0.125263151
0.097501107
0.116936994









For comparison of ELISA results with control values, the values samples with CNS involvement (from Table 9) were averaged for the 5 patients as representative of those with CNS involvement. Then, the average of corresponding samples after treatment was also calculated from the same patients as representative value of samples with CNS involvement following treatment. Likewise the samples without CNS involvement and their corresponding samples after treatment were also selected (Table 10 and 11) and averaged. These values are presented in Table 13.


Subsequently, these CSF reactivity values of CNS involvement and without CNS involvement and their corresponding treated sample values were compared with that of control samples without any malignancy and CNS disease. The control samples used were pyrexia, Down's syndrome, Type II diabetics and vascular headache. OD values for control samples for four non-malignant disease states are given in Table 12. The CSF reactivity to PFDN5-α of these different clinical conditions were measured and compared with the leukemia samples.









TABLE 12







OD Values of Control Samples Used for Analysis











Down's
Type II
Vascular


Pyrexia
Syndrome
Diabetics
Headache













0.22755197
0.162691052
0.192306433
0.156793586


0.216909719
0.16500872
0.159758464
0.153853423


0.207824244
0.165400317
0.166590604
0.152593715











Avg
0.217428644
0.164366697
0.172885167
0.154413575


SD
0.009874095
0.0014643
0.017162713
0.00215524


SE
0.003291365
0.0004881
0.005720904
0.000718413









For each experiment the CSF reactivity to bovine serum albumin (BSA) was calculated to get the basal reactivity. The average of all these values was taken for the compiled data presentation as shown in Table 13.









TABLE 13







Basal reactivity of CSF to BSA










Instance
Basal reactivity (BSA + CSF)













1
0.036144444



2
0.03698



3
0.03879



4
0.03643



5
0.0367



6
0.041484848



7
0.036689394



8
0.038095455



9
0.038139394



10
0.044423333



11
0.046634848



12
0.039137429



Avg
0.039137429



SD
0.003367512



SE
0.000280626









ELISA results of samples with and without CNS involvement and corresponding samples following treatment are shown compared against the reactivity of basal and control samples in Table 14. The data represent averaged data from CNS diseased (Table 9) as well as disease-free patients (Table 11) as well as control samples (Table 12 and 13). The results are also graphically represented in FIG. 7, along with the corresponding statistical variance of data. The results show that the samples with CNS involvement are clearly distinguishable from those free of CNS disease or those taken after remission, and from any of the other control data including basal data. The CNS diseased samples show only 50% or less of reactivity as represented by OD values, compared to the treated and remission samples.


Comparison of the results of the far western 2D blot test and ELISA shows that the disease prevalence of CNS leukemia is clearly and distinguishably identified using both the methods, through measurement of reactivity between cerebrospinal fluid and PFDN5-α derived from leukemia proteome. The methods of the invention therefore provide a means to reliably identify prevalence of CNS leukemia in B-ALL patients.









TABLE 14







Compiled data of CSF reactivity to PFDN5-α in samples


with CNS involvement and without CNS involvement and their


corresponding samples after treatment, along with control samples










Sample Description
OD













Basal reactivity
0.0391374



Samples with CNS involvement
0.0632324



Samples with CNS involvement
0.135812



following treatment




Samples without CNS involvement
0.1268009



Samples without CNS involvement
0.1252758



following treatment




Pyrexia
0.2174286



Down's Syndrome
0.1643667



Type II Diabetics
0.1728852



Vascular headache
0.1544136









Also disclosed herein are kits for prognosis/detection of CNS disease. In some embodiments, the kit for this application includes the following: assay reagents, buffers, reaction tubes, ELISA model PFDN5-α coated plates etc. The product may include sterile saline or any other pharmaceutically suitable emulsion and suspension base. In addition, the kit may include written or printed instructional materials containing directions i.e. protocols for the practice of the methods of this invention.


While the invention has been disclosed with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the invention. In addition, many modifications may be made to adapt to a particular situation or material the teachings of the invention without departing from its scope.

Claims
  • 1. A method of predicting leukemia of the central nervous system (CNS) in B-cell acute lymphoblastic leukemia (B-ALL) patients, comprising: a) obtaining a sample of cerebrospinal fluid (CSF) from a B-ALL patient;b) biotinylating the sample;c) applying the biotinylated sample to a control sample including a PFDN5-α protein;d) detecting a level of binding of the biotinylated sample with the PFDN5-α protein; ande) comparing the level of binding of the biotinylated sample against a threshold of significance, wherein the threshold of significance is a predetermined level of binding of the biotinylated sample to a standard protein representing non-specific binding to CSF, wherein the B-ALL patient is detected as negative for CNS leukemia when the level of binding is greater than the threshold of significance by at least 50%.
  • 2. The method of claim 1, wherein detecting the level of binding of the biotinylated sample with the PFDN5-α protein comprises testing using far-western blot test, a pull down assay, an ELISA test or immunoprecipitation.
  • 3. A method of managing treatment in a patient with B-cell acute lymphoblastic leukemia (B-ALL) by predicting central nervous system (CNS) leukemia, comprising: a) obtaining a sample of cerebrospinal fluid (CSF) from the patient;b) biotinylating the sample;c) applying the biotinylated sample to a control sample including PFDN5-α protein;d) detecting a level of binding of the biotinylated sample with the PFDN5-α protein;e) comparing the level of binding of the sample against a threshold of significance, wherein the threshold of significance is a predetermined level of binding of the biotinylated sample to a standard protein representing non-specific binding to CSF, wherein the B-ALL patient is detected as negative for CNS leukemia when the level of binding is greater than the threshold of significance by at least 50%;f) determining the patient is not negative for CNS leukemia; andg) treating the patient for CNS leukemia.
  • 4. The method of claim 3, wherein detecting the level of binding of the biotinylated sample with the PFDN-α protein comprises testing using far-western blot test, a pull down assay, an ELISA test or immunoprecipitation.
Priority Claims (1)
Number Date Country Kind
155/CHE/2013 Jan 2013 IN national
PCT Information
Filing Document Filing Date Country Kind
PCT/IB2014/058167 1/10/2014 WO 00
Publishing Document Publishing Date Country Kind
WO2014/108855 7/17/2014 WO A
US Referenced Citations (2)
Number Name Date Kind
20060084071 Muchowski et al. Apr 2006 A1
20130244897 Lueking Sep 2013 A1
Foreign Referenced Citations (6)
Number Date Country
2437060 Apr 2012 EP
9213076 Aug 1992 WO
03038439 May 2003 WO
03039443 May 2003 WO
03083140 Oct 2003 WO
2008138578 Nov 2008 WO
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Related Publications (1)
Number Date Country
20170138948 A1 May 2017 US