Semin Thromb Hemost
DOI: 10.1055/a-2633-7948
Letter to the Editor

JAK2 V617F Mutation Screening for Peripheral Arterial Thrombosis

Antoine Villa
1   Department of Internal Medicine and Clinical Immunology, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
Clotilde Bravetti
2   Department of Biological Hematology, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
,
Nicolas Gauthier
3   Hematology Department, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France
,
Adrien Mirouse
1   Department of Internal Medicine and Clinical Immunology, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
Thibault Couture
4   Department of Vascular Surgery, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
Laurent Chiche
4   Department of Vascular Surgery, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
Sylvain Choquet
3   Hematology Department, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France
,
Frédéric Davi
2   Department of Biological Hematology, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
,
Patrice Cacoub
1   Department of Internal Medicine and Clinical Immunology, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
David Saadoun
1   Department of Internal Medicine and Clinical Immunology, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
,
Alexandre Le Joncour
1   Department of Internal Medicine and Clinical Immunology, Pitié Salpêtrière Hospital, Sorbonne University, Paris, France
› Author Affiliations
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Arterial thrombosis is a rare and potentially serious condition associated with significant morbidity and mortality. Its occurrence requires investigation for common causes, including atherosclerosis and embolism, as well as uncommon causes, including medications and substances, vascular and anatomical abnormalities, systemic disorders, and thrombophilias. However, there remain cases where arterial thrombosis remains unexplained despite thorough investigation. The role of systematic or targeted investigation of the JAK2 V617F mutation has not been established.[1]

Since the discovery of the JAK2 V617F mutation in 2005,[2] its prothrombotic role has been studied in patients with and without myeloproliferative neoplasms (MPN). Arterial thrombosis rates in MPN patients are reported to be approximately 0.75 per patient per year.[3] It is known that the presence of the JAK2 V617F mutation, with or without MPN, is associated with an increased risk of venous thrombosis.[4] [5] [6] However, the role of the JAK2 V617F mutation in arterial thrombosis in the presence or absence of MPN is controversial.[3] [7] Current studies suggest a very low prevalence (0.7–1%) of JAK2 V617F in individuals with arterial thrombosis. However, these studies mainly focused on patients with stroke and myocardial infarction.[8] [9] Therefore, the estimated prevalence in cases of nonstroke/nonmyocardial infarction arterial thrombosis is not known. From both a medical and economic point of view, it is crucial to identify individuals at risk of carrying the JAK2 V617F mutation in the case of peripheral arterial thrombosis in order to assess screening utility and define a target population. This study specifically aimed to determine the significance of the JAK2 V617F mutation screening in peripheral arterial thrombosis cases.

We conducted a single-center retrospective study between 2016 and 2022. A total of 147 patients with arterial thrombosis (excluding strokes and myocardial infarctions) were systematically screened for the JAK2 V617F mutation using a TaqMan allelic discrimination assay on genomic DNA (sensitivity threshold 1%). The JAK2 V617F testing was performed in real time on fresh peripheral blood samples, as part of routine clinical care, and no samples were stored. Clinical data were collected retrospectively. We recorded their past medical history, clinical characteristics, treatments, and biological parameters 7 days before (D − 7), at the time (D0), and 7 days after (D7) the thrombosis. MPNs were diagnosed based on the 2016 World Health Organization recommendations.[10] JAK2 V617F is a well-recognized mutation associated with clonal hematopoiesis of indeterminate potential (CHIP), which can occur independently of MPN. However, our study was not designed to distinguish between CHIP and MPN, as bone marrow biopsies were not systematically performed. The statistical analysis was done by the R software (R version 4.2.3, Vienna, Austria). Data are expressed as mean [ ± standard deviation]. Patient characteristics were compared using chi-2 or Fisher's exact test as required. Biological parameters were compared using Wilcoxon's rank-sum test. Significance is set for p-value < 0.05. Multiple receiver operating characteristics (ROC) curves were used to propose a sensitive and specific platelet threshold regarding JAK2 V617F mutation screening. This study was conducted in accordance with the AP-HP (Assistance publique–hôpitaux de Paris) institutional patient protection charter and followed the MR-004 methodology for retrospective studies, allowing the use of routine care data with the possibility for patients to object to the collection and analysis of their personal data.

The clinical and biological characteristics of the 147 patients are shown in [Table 1]. Briefly, the mean age at diagnosis was 56 (±9) years and 97 (66%) were male. A history of arterial and venous thrombosis was reported in 13 and 9.5% of cases, respectively. At the time of diagnosis of arterial thrombosis, 39% were treated with antiplatelet agent or anti-P2Y12 and 14% with anticoagulation. There were 107 cases (73%) of lower limb thrombosis, 23 (16%) of upper limb thrombosis, and 17 (12%) of gastrointestinal arterial vessel thrombosis. The JAK2 V617F mutation was found in 12 (8%) of these cases.

Table 1

Patients characteristics

Characteristics

All patients, N = 147[ 1 ]

JAK2, N = 12[ 1 ]

None, N = 135[ 1 ]

p-Value 2

 Age

56 (47, 65)

62 (53, 75)

56 (46, 65)

0.12

 Female

50 (34%)

5 (42%)

45 (33%)

0.5

 Male

97 (66%)

7 (58%)

90 (67%)

0.5

Past medical history

 Arterial thrombosis

19 (13%)

2 (17%)

17 (13%)

0.7

 Hypertension

55 (37%)

6 (50%)

49 (36%)

0.4

 Tobacco smoking

101 (69%)

7 (58%)

94 (70%)

0.5

 Diabetes mellitus

20 (14%)

2 (17%)

18 (13%)

0.7

 Dyslipidemia

41 (28%)

2 (17%)

39 (29%)

0.5

 Myocardial infarction

21 (14%)

1 (8.3%)

20 (15%)

>0.9

 Peripheral arterial disease

49 (33%)

0 (0%)

49 (36%)

0.009

 Stroke

5 (3.4%)

1 (8.3%)

4 (3.0%)

0.4

 Venous thrombosis

14 (9.5%)

0 (0%)

14 (10%)

0.6

 Active neoplasm

6 (4.1%)

0 (0%)

6 (4.4%)

>0.9

 Cardiovascular risk factors[a]

132 (90%)

11 (92%)

121 (90%)

>0.9

 ARTS modified score[b]

0.060

 0

14 (9.5%)

1 (8.3%)

13 (9.6%)

 1

80 (54%)

5 (42%)

75 (56%)

 2

45 (31%)

3 (25%)

42 (31%)

 3

8 (5.4%)

3 (25%)

5 (3.7%)

 Family history

 None

46 (31%)

5 (42%)

41 (30%)

0.5

 Cardiovascular events

22 (15%)

4 (33%)

18 (13%)

0.083

 Arterial thrombosis

2 (1.4%)

0 (0%)

2 (1.5%)

>0.9

 Venous thrombosis

7 (4.8%)

0 (0%)

7 (5.2%)

>0.9

 Treatment at the time of diagnosis

 Aspirin

40 (27%)

2 (17%)

38 (28%)

0.5

 Anticoagulation

21 (14%)

0 (0%)

21 (16%)

0.2

 AntiPY12

17 (12%)

1 (8.3%)

16 (12%)

>0.9

 Thrombus location

 Lower limb

107 (73%)

10 (83%)

97 (72%)

0.5

 Upper limb

23 (16%)

2 (17%)

21 (16%)

>0.9

 Digestive organs

17 (12%)

0 (0%)

17 (13%)

0.4

Biological parameters

 D − 7

 Platelets D − 7 (G/L)

268 (212, 348)

475 (364, 676)

260 (210, 331)

0.022

 Hemoglobin D − 7 (g/dL)

13.25 (11.90, 14.60)

13.35 (12.08, 14.18)

13.25 (11.90, 14.60)

>0.9

 Hematocrit D − 7 (%)

38.6 (36.1, 42.1)

39.4 (36.5, 42.0)

38.6 (36.0, 42.2)

>0.9

 WBC D − 7 (G/L)

9.2 (7.4, 12.2)

12.1 (11.2, 17.3)

9.0 (7.3, 12.0)

0.017

 D0

 Platelets D0 (G/L)

278 (205, 363)

452 (389, 542)

267 (202, 338)

<0.001

 Hemoglobin D0 (g/dL)

12.80 (10.70, 14.20)

13.30 (10.53, 13.63)

12.70 (10.70, 14.30)

0.9

 Hematocrit D0 (%)

37 (31, 41)

38 (29, 41)

37 (31, 42)

0.8

 WBC D0 (G/L)

8.8 (6.9, 11.3)

8.9 (7.4, 13.1)

8.8 (6.8, 11.2)

0.6

 CRP D0 (mg/L)

16 (2, 48)

14 (5, 45)

16 (2, 47)

>0.9

 D7

 Platelets D7 (G/L)

321 (241, 432)

416 (341, 914)

308 (235, 420)

0.017

 Hemoglobin D7 (g/dL)

11.70 (9.90, 13.80)

11.10 (9.90, 12.45)

11.70 (9.90, 13.90)

0.5

 Hematocrit D7 (%)

36 (29, 40)

33 (29, 37)

36 (29, 40)

0.5

 WBC D7 (G/L)

8.7 (7.0, 11.0)

8.2 (7.7, 10.1)

8.7 (7.0, 11.0)

0.9

 Mean

 Platelets mean (G/L)

287 (236, 366)

464 (390, 649)

283 (229, 352)

<0.001

 Hemoglobin mean (g/dL)

12.85 (10.98, 14.20)

13.30 (10.79, 13.68)

12.75 (11.02, 14.20)

0.9

 White blood count mean (G/L)

9.0 (7.2, 11.3)

9.5 (7.4, 13.5)

8.8 (7.2, 11.3)

0.5

 Hematocrit mean (%)

37.2 (32.4, 41.3)

38.9 (31.2, 40.6)

37.0 (32.5, 41.5)

0.8

Abbreviations: ARTS, Atraumatic Restorative Treatment; CRP, C-reactive protein; IQR, interquartile range; WBC, white blood cell.


1 Median (IQR); n (%) 2 Wilcoxon rank-sum test; Fisher's exact test; Pearson's chi-squared test.


a Cardiovascular risk factors include at least one of the following factors: smoking, arterial hypertension, diabetes, or hypercholesterolemia.


b Arterial Thrombosis Score based on Pasquer et al based on: prior arterial thrombosis, age > 60 years, cardiovascular risk factors.


Compared with patients without the mutation, patients with the JAK2 V617F mutation did not show a statistically significant difference in terms of age, sex, antiplatelet or anticoagulant treatment at diagnosis, or site of thrombosis. However, patients with the JAK2 V617F mutation had a higher platelet count than nonmutated patients at D − 7 (475 [interquartile range, IQR: 364–676] vs. 260 [IQR: 210–331] G/L; p = 0.022), D0 (452 [IQR: 389–542] vs. 267 [IQR: 202–338] G/L; p < 0.001), D7 (416 [IQR: 341–914] vs. 308 [IQR: 235–420] G/L; p = 0.017), and the average of the 3 counts (464 [IQR: 390–649] vs. 283 [IQR: 229–352] G/L; p < 0.001). Other blood test results (hematocrit, white blood cell [WBC] count, hemoglobin, C-reactive protein) did not show a statistically significant difference, except for a higher WBC count at D − 7 in JAK2 V617F mutant patients (12.1 [IQR: 11.2–17.3] G/L vs. 9 [IQR: 7.3–12.0]; p = 0.017).

None of the 12 patients carrying the JAK2 V617F mutation were known to harbor the mutation prior to the thrombotic event. Among them, six underwent a bone marrow biopsy. The main reasons for not performing a biopsy were loss to follow-up or patient refusal. Based on available data, seven patients met diagnostic criteria for a myeloproliferative neoplasm (MPN): four were classified as essential thrombocythemia (ET), one as primary myelofibrosis, one had a JAK2-positive atypical chronic MPN with concurrent mutations in U2AF1 and ETNK1, and one presented with JAK2-positive clonal hematopoiesis suggestive of ET ([Table 2]).

Table 2

Characteristics of the 12 JAK2 V617F-positive cases

Sex

Age

(y)

WBC (G/L)

RBC (G/L)

Hgb (G/L)

Hct (%)

PLT (G/L)

Monocytes

(G/L)

Diagnosis of MPN

Male

75

5.00

169

10.0

22.8

169

0.82

No

Male

58

10.55

366

10.7

30.5

366

1.05

Yes, primary myelofibrosis

Female

54

9.56

649

12.7

37.4

649

0.76

Yes, essential thrombocythemia

Male

74

16.00

306

13.6

40.7

306

0.65

No

Female

48

7.48

512

13.7

40.5

512

0.43

Yes, essential thrombocythemia

Male

76

24.00

465

9.8

28.7

465

0.72

Yes, atypical chronic myeloproliferative neoplasm JAK2+ with a mutation in U2AF1 and ETNK1

Female

76

12.41

631

9.8

28.8

631

0.55

Yes, essential thrombocythemia

Female

65

8.00

402

13.5

29.4

402

0.34

Yes, CHIP JAK2+ suggestive of essential thrombocythemia

Male

47

8.19

439

16.2

47.0

439

0.68

No

Male

44

15.10

635

15.9

47.2

635

0.73

Yes, essential thrombocythemia

Female

73

6.76

397

13.2

40.1

397

0.54

No

Male

57

7.21

488

13.4

39.3

488

0.65

No

Abbreviations: Hct, hematocrit; Hgb, hemoglobin; MPN, myeloproliferative neoplasms; PLT, platelet; RBC, red blood cell; WBC, white blood cell.


When comparing patients with a confirmed MPN diagnosis (n = 7) to those without (n = 5), the latter were older (mean age 73 ± 17 years vs. 58 ± 19 years) and exhibited lower platelet counts at the time of thrombosis (mean platelet at D0: 397 ± 133 G/L vs. 512 ± 199 G/L). These observations suggest that some patients without a confirmed diagnosis may harbor clonal hematopoiesis of clinical significance rather than overt MPN. Moreover, WBC counts were generally higher in MPN-confirmed patients, further supporting a proliferative profile. Overall, these findings reinforce the relevance of integrating mutational screening with hematological workup, particularly in patients with unexplained thrombosis and elevated platelet counts.

When analyzing multiple ROC curves for platelet counts obtained at three different time points (D–7, D0, and D + 7), the platelet count at D0 provided the best discriminatory performance for identifying patients with the JAK2 V617F mutation ([Fig. 1]). A threshold of 365 G/L yielded a sensitivity of 0.83 and a specificity of 0.81, correctly identifying 10 out of 12 JAK2-positive patients, with a negative predictive value (NPV) of 98%. A lower threshold of 300 G/L achieved an NPV of 99% and identified 11 out of 12 mutated patients. Full performance metrics for each threshold are presented in [Table 3].

Zoom
Fig. 1 ROC curves for platelet counts to predict JAK2 V617F mutation. (A) All patients: ROC curves for platelet counts at the day of diagnosis (D0), 7 days before (D–7), and 7 days after (D + 7). (B) Subgroup of patients without peripheral artery thrombosis: ROC curves for platelet counts at D0, D–7, and D + 7. ROC, receiver operating curve.
Table 3

Contingence table according to platelet threshold

Platelet threshold (G/L)

Sensitivity

Specificity

Positive predictive value (PPV)

Negative predictive value (NPV)

300

0.92

0.63

0.19

0.99

320

0.83

0.70

0.20

0.98

350

0.83

0.76

0.24

0.98

365

0.83

0.81

0.29

0.98

370

0.75

0.82

0.28

0.97

390

0.75

0.85

0.32

0.97

410

0.58

0.89

0.33

0.96

430

0.58

0.89

0.33

0.96

Given that none of the JAK2 V617F-positive patients in our cohort had a prior history of peripheral arterial disease (PAD), we explored whether restricting the analysis to patients without PAD could improve predictive performance. In this subgroup, the area under the ROC curve (AUC) for platelet count at D0 showed a modest improvement (AUC = 0.844) compared with the full cohort (AUC = 0.837), with similar slight increases observed at D–7 and D + 7. These findings suggest that absence of PAD history may slightly enhance the predictive accuracy of platelet count-based screening. However, due to the limited number of JAK2-positive cases, these results should be interpreted with caution.

This study provides new insights into the association between the JAK2 V617F mutation and peripheral arterial thrombosis. The complication rate of peripheral arterial thrombosis in JAK2 V617F polycythemia vera is estimated to be 2.2%.[11] However, the prevalence of JAK2 V617F in peripheral arterial thrombosis remains insufficiently characterized. Raimbeau et al evaluated the etiology of digital ischemia in 323 patients, 5 (1.5%) patients had MPN, but the JAK2 V617F mutation status was not described and screening for JAK2 V617F mutation was not systematic.[12] In contrast, a study by Muendlein et al investigated the prevalence of JAK2 V617F in 287 patients with PAD, identifying a 3.1% prevalence, which was significantly higher than in a matched control population. However, these patients did not necessarily present with an acute thrombotic event.[13] Our study shows an 8% prevalence of the JAK2 V617F mutation in cases of peripheral arterial thrombosis. This rate prompts a comparative analysis with existing rates in similar thrombotic conditions, highlighting potential selection bias or underestimation in other studies.

Almost half of the patients were not diagnosed with a definite MPN. Although they didn't have a bone marrow biopsy, their platelet count was lower than those with a definite MPN, raising the concept of clonal hematopoiesis of clinical significance.

This study has several limitations. First, its retrospective, single-center design may limit generalizability, and selection bias cannot be excluded. Second, while we systematically screened for JAK2 V617F, bone marrow biopsies were not systematically performed in mutation-positive patients, making it difficult to distinguish between MPN and CHIP. Third, we did not routinely screen for antiphospholipid antibodies, which could be a confounding factor in cases of unexplained arterial thrombosis. Fourth, the sample size of JAK2 V617F-positive patients was relatively small, limiting the power of subgroup analyses. Finally, our study did not include a control group of nonthrombotic individuals, which would have strengthened the interpretation of JAK2 V617F prevalence in arterial thrombosis. Future multicenter, prospective studies are needed to further investigate these findings and refine JAK2 V617F screening strategies in arterial thrombosis cases.

Recommending platelet thresholds as indicators for JAK2 V617F mutation screening in cases of arterial thrombosis paves the way for more systematic and personalized screening approaches. We have identified specific platelet thresholds that can guide JAK2 V617F mutation testing, with levels of 300 G/L and 350 G/L offering NPVs of 99 and 98%, respectively. Elevated platelet counts associated with JAK2 V617F mutation prompt consideration of different treatment modalities. The discussion extends to the relevance of aspirin, anticoagulants, and cytoreductive therapies.[10] [14]

In conclusion, in our study, JAK2 V617F mutation prevalence in case of peripheral arterial thrombosis was 8%. Using a platelet threshold of 365 G/L, this mutation would be detected with a sensitivity of 0.83 and a specificity of 0.80. Further prospective studies are needed to determine the exact prevalence of the JAK2 V617F mutation in arterial thrombosis.

Author Contributions

A.V., C.B., A.L.J.: study design, data collection, statistical analysis, and drafting of the manuscript. N.G., A.M., T.C., L.C., S.C., F.D., P.C., D.S.: data collection, editing, and revising the manuscript.




Publication History

Received: 18 February 2025

Accepted: 11 June 2025

Article published online:
24 June 2025

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