CC BY-NC-ND 4.0 · Thromb Haemost 2022; 122(10): 1653-1661
DOI: 10.1055/a-1816-8347
Coagulation and Fibrinolysis

Do Antiangiogenics Promote Clot Instability? Data from the TESEO Prospective Registry and Caravaggio Clinical Trial

Alberto Carmona-Bayonas
1   Hematology and Medical Oncology Department, Hospital Universitario Morales Meseguer, University of Murcia, IMIB, Murcia, Spain
,
Melina Verso
2   Medicina Vascolare e d'Urgenza, Ospedale S. Maria della Misericordia, Università di Perugia, Perugia, Italy
,
Manuel Sánchez Cánovas
1   Hematology and Medical Oncology Department, Hospital Universitario Morales Meseguer, University of Murcia, IMIB, Murcia, Spain
,
Jaime Rubio Pérez
3   Medical Oncology Department, Hospital Fundación Jiménez Diaz, Madrid, Spain
,
Marta García de Herreros
4   Medical Oncology Department, Hospital Clinic, Barcelona, Spain
,
Purificación Martínez del Prado
5   Medical Oncology Department, Hospital Universitario de Basurto, Bilbao, Spain
,
Isaura Fernández Pérez
6   Medical Oncology Department, Hospital Álvaro Cunqueiro/Complejo Hospitalario Universitario de Vigo, Vigo, Spain
,
Teresa Quintanar Verduguez
7   Medical Oncology Department, Hospital General Universitario de Elche, Elche, Spain
,
Berta Obispo Portero
8   Medical Oncology Department, Hospital Universitario Infanta Leonor, Madrid, Spain
,
Vanessa Pachón Olmos
9   Medical Oncology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
,
David Gómez
10   Medical Oncology Department, Hospital Universitario Central de Asturias, ISPA, Oviedo, Spain
,
Laura Ortega
11   Medical Oncology Department, Hospital Universitario Gregorio Marañon, Madrid, Spain
,
Marta Serrano Moyano
12   Medical Oncology Department, Hospital de Especialidades de Jerez de la Frontera, Jerez de la Frontera, Spain
,
Elena M. Brozos
13   Medical Oncology Department, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
,
Mercedes Biosca
14   Medical Oncology Department, Hospital Universitario Vall d́Hebron, Barcelona, Spain
,
Maite Antonio Rebollo
15   Medical Oncology Department, Instituto Catalán de Oncología (ICO), L'Hospitalet de Llobregat, Llobregat, Spain
,
Lucía Teijeira Sanchez
16   Medical Oncology Department, Complejo Hospitalario de Navarra, Pamplona, Spain
,
Carolina Hernández Pérez
17   Medical Oncology Department, Hospital Universitario Nuestra Señora de la Candelaria, Tenerife, Spain
,
José David Cumplido Burón
18   Medical Oncology Department, Hospital Universitario de Torrevieja, Torrevieja, Spain
,
Nieves Martínez Lago
19   Medical Oncology Department, Hospital Clínico Universitario A Coruña, La Coruña, Spain
,
Estefanía García Pérez
20   Medical Oncology Department, Hospital de Barcelona, Barcelona, Spain
,
Jose Muñoz Langa
21   Medical Oncology Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
,
Pedro Pérez Segura
22   Medical Oncology Department and IdISSC, Hospital Universitario Clínico San Carlos, Madrid, Spain
,
Eva Martínez de Castro
23   Medical Oncology Department, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Spain
,
Paula Jimenez-Fonseca
10   Medical Oncology Department, Hospital Universitario Central de Asturias, ISPA, Oviedo, Spain
,
Giancarlo Agnelli
24   Internal Vascular and Emergency Medicine-Stroke Unit, University of Perugia, Perugia, Italy
,
Andrés Muñoz
10   Medical Oncology Department, Hospital Universitario Central de Asturias, ISPA, Oviedo, Spain
› Author Affiliations
Funding This study was supported by unrestricted grants from Sanofi, Leo Pharma Rovi, and BMS-Pfizer. The sponsors of this research have not participated in data collection, analysis, or interpretation, in writing the report, or in the decision to submit the article for publication.
 

Abstract

Background Venous thromboembolism (VTE) is a common complication in cancer patients. Much of its morbidity stems from the development of fatal pulmonary embolisms (PE). Little is known about the factors involved in clot stability, with angiogenesis possibly being implicated.

Methods The database is from the TESEO prospective registry that recruits cancer patients with VTE from 41 Spanish hospitals. Independent validation was conducted in a cohort from the Caravaggio trial. The objective is to evaluate the association between exposure to antiangiogenic therapies and the PE/VTE proportion in oncological patients.

Results In total, 1,536 subjects were evaluated; 58.4% (n = 894) had a PE and 7% (n = 108) received antiangiogenic therapy (bevacizumab in 75%). The PE/VTE proportion among antiangiogenic-treated individuals was 77/108 (71.3%) versus 817/1,428 (57.2%) among those receiving other alternative therapies (p = 0.004). The effect of the antiangiogenics on the PE/VTE proportion held up across all subgroups except for active smokers or those with chronic obstructive pulmonary disease. Exposure to antiangiogenics was associated with increased PEs, odds ratio (OR) 2.27 (95% CI, 1.42–3.63). In the Caravaggio trial, PE was present in 67% of the individuals treated with antiangiogenics, 50% of those who received chemotherapy without antiangiogenic treatment, and 60% without active therapy (p = 0.0016).

Conclusion Antiangiogenics are associated with increased proportion of PE in oncological patients with VTE. If an effect on clot stability is confirmed, the concept of thrombotic risk in cancer patients should be reconsidered in qualitative terms.


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Introduction

Deep vein thrombosis (DVT) and pulmonary embolism (PE) are typically considered manifestations of the same physiological process, encompassed under the denomination of venous thromboembolism (VTE).[1] Nevertheless, inasmuch as DVT, in and of itself, is not generally lethal in the short term, PE comprises a life-threatening event when fibrin fragments from the clot occlude enough of the pulmonary arterial territory.[2] [3] Despite its clinical relevance, little progress has been made in elucidating the mechanisms associated with clot stability.[4] Nonetheless, factors impacting the viscoelasticity of the fibrin scaffolding must be studied if we are to understand the qualitative consequences of hypercoagulability states, contributing to risk-adapted management.[4] [5]

Cancer is among the most common causes of acquired thrombophilia.[6] Oncological patients with VTE suffer increased short-term mortality, occasionally due to the direct effect of PE.[3] [7] [8] Cancer-related PE entails a 15-day mortality rate of 10.1% (95% confidence interval [CI], 8.4–12.1).[9] Recent years have witnessed emphasis on the need to predict individual thrombotic risk.[10] Even so, thromboprophylaxis in high-risk individuals has failed to improve survival,[11] making new proposals essential. One way to move forward would be to investigate the mechanisms that give rise to thrombotic instability, prioritizing thromboprophylaxis when embolization entails high risk.

Angiogenesis, one of the most relevant hallmarks of cancer[12] [13] which is regulated by the haemostatic system,[12] is one of the processes possibly involved. Thus, the transglutaminase activity of factor XIII promotes clot stability and is pro-angiogenic.[14] Antiangiogenics are among the most widely used targeted therapies.[15] With these underpinnings, we have examined the TESEO thrombosis registry of the Spanish Society of Medical Oncology (SEOM) to evaluate whether antiangiogenic therapies are associated with PE in the oncological population. An independent validation was conducted in a cohort from the Caravaggio trial.


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Methods

Patients and Study Design

TESEO is an observational study sponsored by SEOM that prospectively and consecutively recruits patients at 41 Spanish hospitals. Inclusion criteria comprise being ≥18 years of age with a solid tumour and objectively detected VTE (e.g., Doppler ultrasound, computed tomography [CT], angiography scans, scheduled CT to assess tumour response, etc.). Exclusion criteria include superficial thrombophlebitis, the appearance of VTE prior to cancer diagnosis or after completing adjuvant treatment (>1 month in both cases). The study was approved by the Research Ethics Committee of all the Autonomous Communities and participating centres. All participants signed a written informed consent form.

The data were validated in patients from the randomized Caravaggio trial, the rationale and design of which have been previously published.[16] Essentially, it is a non-inferiority phase III study that recruited subjects with cancer and incidental or symptomatic VTE. This population was randomized to receive apixaban or dalteparin. All the participants with active cancer at the time of VTE, except for those with haematological diseases, were selected for the validation. The scientific committee and independent statistical team analysed the results separately.


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Objectives and Variables

The objective is to examine the association between the use of antiangiogenic therapies and PE/VTE proportion. PE was defined in the registry as an intraluminal contrast-filling defect measuring ≥2 mm visualized on two CT sections (CT pulmonary angiography or conventional contrast enhanced CT scans). In the event of isolated subsegmental PEs, investigators were required to verify the information with a thoracic radiologist. Diagnosis by Doppler ultrasound followed the usual criteria (e.g., non-compressibility, intraluminal thrombus, flow abnormality, etc.) according to the practice of each centre. Diagnostic criteria in the Caravaggio trial were comparable.[16]

Antiangiogenic therapy was considered to comprise any drug (antibody or tyrosine kinase inhibitor [TKI]) targeting any molecule pertaining to the family of vascular endothelial growth factor (VEGF), its receptors, or other analogous molecules involved in angiogenesis.[15] In both cohorts (TESEO and Caravaggio), antineoplastic treatment was defined as the therapy the patient was receiving at the time of thrombosis or had completed in the 30 days prior.

To appraise the association, model-building was performed by means of subject-matter knowledge regarding causal mechanisms or sources of bias.[17] The candidate predictors for the multivariable model were initially chosen after a review of the literature and conversation with the executive committee of the TESEO registry, made up of medical oncologists with expertise in thrombosis and cancer. Thus, variables that could theoretically affect the appearance or diagnosis of PE were selected as confounding factors or mediators: suspected VTE, prior VTE, associated chemotherapy, tumour type (colorectal vs. others), tumour stage TMN (IV vs. others), Eastern Cooperative Oncology Group Performance Status (ECOG-PS), and age. Other variables evaluated were the concurrent presence of DVT and PE characteristics (e.g., site, extension, association with symptoms).

Sensitivity analyses were also performed to examine how different factors influenced the conclusions. The point of these analyses is to get more tenable results if the magnitude of benefit did not change on the basis of the stratification factors (e.g., the association holds when only the CT-detected incidental events are considered). The selection criterion for these factors was based on the assumption that the PE detection patters would be more homogeneous within each category, thereby probing the possibility of detection biases. To this end, bivariate analyses were used, stratified by the presence of active cancer, tumour stage, tumour type, type of antiangiogenic, cancer treatment, type of diagnosis (suspected vs. not suspected), diagnostic method (CTPA, scheduled or unplanned CT), presence of recurring events, active smoking, comorbidities, and the use of antiplatelets agents. Other end points consisted of rate of venous rethrombosis and major/clinically relevant bleeding, as per the International Society on Thrombosis and Haemostasis (ISTH). Rethrombosis was defined as the appearance of a second thrombotic event following proper management of the index VTE or progression of the previous episode despite appropriate anticoagulant therapy.


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Statistical Methods

The Aalen–Johansen estimator was used to obtain the cumulative incidence function for rethrombosis and bleeding, in the presence of death as a competing event. Standard descriptive statistics were used, including absolute and relative frequencies, and differences in proportions. We provided 95% CIs when appropriate and considered a significance level of p <0.05 in all statistical tests. Two-tailed p-values were calculated. Comparisons between proportions were conducted by bivariate χ2-tests. Inference was accompanied by sensitivity analyses contemplating other factors that could impact results (see above). The association between PE and antiangiogenic therapy was further assessed by means of multivariable binary logistic regression, specified with the previously mentioned covariates. These descriptive analyses were executed using R version 4.01.[18]


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Results

Patient Characteristics

The TESEO registry database contains 1,536 subjects with VTE diagnosed between July 2018 and December 2020. Of them, 58.2% (n = 894) had a PE, whereas 41.8% (n = 642) had other VTEs. Other concurrent thromboses were present in 174/894 (19.4%) of the patients with PE. At the time of VTE, 7% of the individuals (n = 108) were receiving antiangiogenic therapy. Baseline characteristics are displayed in [Table 1]. PEs were most often diagnosed by conventional CT scan (either scheduled or unplanned) performed for reasons other than suspicion of PE in 59.6% (n = 533), followed by CT pulmonary angiography in 35.2% (n = 315) (see diagnostic methods in [Supplementary Appendix Table 1], available in the online version). The most common antiangiogenics were antibodies (bevacizumab in 81, ramucirumab in 2), VEGF trap (aflibercept in 10), or TKIs (cabozantinib in 4; sunitinib in 3; sorafenib in 2; axitinib, pazopanib, regorafenib, and vandetanib in one case each, and an unspecified TKI in another 2) ([Table 2]).

Table 1

Baseline characteristics broken down by the use of antiangiogenic (TESEO study)

Overall

No antiangiogenic, N(%)

Antiangiogenic, N(%)

Age, median (range)

66 (20–92)

66 (20–92)

66 (28–86)

Sex, male

807 (52.6)

745 (52.2)

62 (57.4)

ECOG-PS

 0

349 (22.7)

328 (23.0)

21 (19.4)

 1

801 (52.1)

737 (51.6)

64 (59.3)

 2

297 (19.3)

280 (19.6)

17 (15.7)

 3

83 (5.4)

77 (5.4)

6 (5.6)

 4

6 (0.4)

6 (0.4)

0

Most common tumours

 Colorectum

307 (20)

238 (16.7)

69 (63.9)

 Lung—Non-small cell

297 (19.3)

291 (20.4)

6 (5.6)

 Breast

160 (10.4)

158 (11.1)

2 (1.9)

 Pancreas

146 (9.5)

146 (10.2)

0

 Stomach

77 (5.0)

77 (5.3)

2 (1.9)

 Ovarian

62 (4.0)

59 (4.1)

3 (2.8)

 Bladder

56 (3.6)

56 (3.9)

0

 Endometrial

32 (2.1)

30 (2.1)

2 (1.9)

 Bile duct/gallbladder

42 (2.7)

42 (2.9)

0

 Esophagus

32 (2.1)

32 (2.2)

0

 Brain

39 (2.5)

31 (2.2)

8 (7.4)

 Prostate

34 (2.2)

34 (2.4)

0

 Kidney

25 (1.6)

17 (1.2)

8 (7.4)

 Liver

17 (1.1)

14 (1.0)

3 (2.8)

 Other

210 (13.6)

203 (14.2)

5 (4.6)

 Histology, adenocarcinoma

1075 (70%)

988 (69.2)

87 (80.6)

 TNM stage IV

1,091 (71.0)

992 (69.5)

99 (91.7)

 Active tumour

1,262 (82.2)

1,161 (81.3)

101 (93.5)

 Use of chemotherapy

889 (57.9)

805 (56.4)

84 (77.8)

VTE, type of detection

 Suspected

747 (48.6)

701 (49.1)

46 (42.6)

 Unsuspected

771 (50.2)

709 (49.6)

62 (57.4)

 Unknown

18 (1.2)

18 (1.3)

0

Type of VTE

 DVT

642 (41.8)

611 (42.8)

31 (28.7)

 PE + without DVT

720 (46.9)

656 (45.9)

64 (59.3)

 PE + DVT

174 (11.3)

161 (11.3)

13 (12.0)

Severity, NCI-CTC

 Grade 1

 Grade 2

682 (44.9)

647 (45.9)

35 (32.4)

 Grade 3

780 (51.4)

709 (50.3)

71 (65.7)

 Grade 4

47 (3.1)

45 (3.2)

2 (1.9)

 Grade 5

9 (0.6)

9 (0.6)

0

 Unknown

18 (1.1)

18 (1.2)

0

Total

1,536 (100%)

1,428 (100%)

108 (100%)

Abbreviations: DVT, deep vein thrombosis; ECOG-PS, Eastern Cooperative Group Performance Status; NCI-CTC, National Cancer Institute Common Toxicity Criteria; PE, pulmonary embolism; TNM, tumour, node, metastases; VTE, venous thromboembolism.


Table 2

Antiangiogenic drugs

TESEO registry, N (%)

Caravaggio trial, N (%)

Aflibercept (recombinant fusion protein)

10 (9.2)

4 (4.7)

Bevacizumab (antiangiogenic monoclonal antibody)

81 (75.0)

30 (34.9)

Ramucirumab (antiangiogenic monoclonal antibody)

2 (1.8)

2 (2.3)

Axitinib (tyrosine kinase inhibitor)

1 (0.9)

0

Cabozantinib (tyrosine kinase inhibitor)

4 (3.7)

1 (1.2)

Imatinib (tyrosine kinase inhibitor)

0

1 (1.2)

Lenvatinib (tyrosine kinase inhibitor)

0

0

Pazopanib (tyrosine kinase inhibitor)

1 (0.9)

3 (3.5)

Sorafenib (tyrosine kinase inhibitor)

2 (1.8)

0

Sunitinib (tyrosine kinase inhibitor)

3 (2.7)

2 (2.3)

Regorafenib (tyrosine kinase inhibitor)

1 (0.9)

2 (2.3)

Vandetanib (tyrosine kinase inhibitor)

1 (0.9)

0

Other, not specified

2 (1.8)

84 (97.7)

Total

108

86

Notes: N, number of patients taking antiangiogenic therapy at randomization. Patients were included in only one treatment group. Percentages were calculated on total number of patients taking antiangiogenic therapies at randomization. Subjects with haematological cancer and history of cancer were excluded from analysis.


The validation cohort from the Caravaggio trial comprises 1,034 cases. Of them, 56% (n = 579) were diagnosed with PE, whereas 44% (n = 455) had a DVT. The remaining baseline characteristics can be found in [Table 3]. At the time of recruitment, 86/1,034 (8.3%) of the Caravaggio study population were receiving antiangiogenic therapy ([Table 2]).

Table 3

Outcomes and characteristics in the validation cohort (Caravaggio trial)

Overall

At least one antiangiogenic therapy at randomization, N (%)

At least one therapy other than antiangiogenic at randomization, N (%)

No therapy at randomization, N (%)

Age, median

69

64

69

69

Sex, male

505 (48.8)

42 (48.8)

207 (47.3)

256 (50.2)

Most common tumours

 Colorectum

229 (22.1)

26 (30.2)

107 (24.4)

96 (18.8)

 Lung

195 (18.9)

30 (34.9)

57 (13.0)

108 (21.2)

 Genitourinary

134 (13.0)

7 (8.1)

55 (12.6)

72 (14.1)

 Breast

149 (14.4)

9 (10.5)

88 (20.1)

52 (10.2)

 Pancreatic or Hepatobiliary

86 (8.3)

0

43 (9.8)

43 (8.4)

 Gynaecological

114 (11.0)

5 (5.8)

44 (10.0)

65 (12.7)

 Upper GI

54 (5.2)

5 (5.8)

22 (5.0)

27 (5.3)

 Head and Neck

20 (1.9)

0

10 (2.3)

10 (2.0)

 Bone/Soft Tissue

13 (1.3)

0

5 (1.1)

8 (1.6)

 Skin - Melanoma

10 (1.0)

1 (1.2)

2 (0.5)

7 (1.4)

 Other

30 (2.9)

3 (3.5)

5 (1.1)

22 (4.3)

TNM stage IV (metastatic)

503 (48.6)

61 (70.9)

220 (50.2)

222 (43.5)

Active tumour

1,034 (100)

86 (100)

438 (100)

510 (100)

VTE, type of detection

 Symptomatic

819 (79.2)

63 (73.3)

352 (80.4)

404 (79.2)

 Unsuspected

215 (20.8)

23 (26.7)

86 (19.6)

106 (20.8)

Type of VTE

 DVT

455 (44.0)

30 (34.9)

220 (50.2)

205 (40.2)

 PE + without DVT

493 (47.7)

53 (61.6)

184 (42.0)

256 (50.2)

 PE + DVT

86 (8.3)

3 (3.5)

34 (7.8)

49 (9.6)

Total

1,034

86

438

510

Abbreviations: DVT, deep vein thrombosis; PE, pulmonary embolism; TNM, tumour, node, metastases; VTE, venous thromboembolism.


Notes: Percentages were calculated on total number of patients in each group. Subjects with haematological cancer and history of cancer were excluded from analysis.



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Association between PE and Antiangiogenic Therapy in the TESEO Cohort

PE was suffered by 77/108 (71.2%, 95% CI 62.1–78.9%) of the individuals treated with an antiangiogenic versus 817/1428 (57.2%, 95% CI 54.6–59.7%) subjects who were receiving other therapies (difference in proportions, 14.0%, 95% CI, 4.1–22.5%) (χ2 = 8.186, degrees of freedom [df] = 1, p = 0.004) ([Supplementary Appendix Fig. 1], available in the online version). To make a preliminary evaluation of possible detection biases, the difference in proportions of subjects with or without an antiangiogenic was calculated in different subgroups. The effect of the antiangiogenic on the proportion of PE was maintained in all cases except in active smokers or patients with chronic obstructive pulmonary disease (COPD) ([Fig. 1]). In particular, the association held in the subgroup of metastatic cancer and was independent of whether the antiangiogenic was bevacizumab and of diagnostic method (CTPA, scheduled or unplanned CT). Likewise, despite the fact that most of the truly asymptomatic events, as well as symptomatic events for reasons other than the VTE, occurred most often after PE ([Supplementary Appendix Table 2], available in the online version), the association between PE diagnosis and the use of antiangiogenics is independent of the presence or absence of these symptoms ([Fig. 1]). We then fitted a multivariable binary logistic regression ([Fig. 2], [Supplementary Appendix Table 3], available in the online version). In this model, exposure to antiangiogenics was associated with a higher proportion of PE with an odds ratio (OR) of 2.27 (95% CI, 1.42–3.63). While other confounding factors were significant, the model was not causally specified to make inferences in that regard ([Fig. 2]). The detailed breakdown of thrombosis locations does not support the notion that the association between PE and antiangiogenics is dependent on the more proximal location of lower limb thrombosis in subjects who have received these therapies, given that the proportion of DVT at the femoral-iliac level is comparable in both groups ([Supplementary Appendix Table 4], available in the online version). A sensitivity analysis revealed that the association persisted when the antineoplastic treatment was categorized as ‘non-antiangiogenic’, ‘treatment with antiangiogenic’, and ‘no therapy’ with PE in 56.0% (95% CI, 52.8–59.1) (521/930), 71.2% (95% CI, 62.1–78.9) (77/108) and 59.4% (95% CI, 55.0–63.6%) (296/498), respectively (χ2 = 9.742, df = 2, p = 0.007).

Zoom Image
Fig. 1 Differences between proportions of pulmonary embolism with or without antiangiogenic. Positive differences indicate more embolisms in subjects receiving an antiangiogenic. Newcombe's method was used to calculate the confidence interval for the difference between proportions. TNM, tumour, node, metastases; VTE, venous thromboembolism; CT, computed tomography; DVT, deep vein thrombosis; COPD, chronic obstructive pulmonary disease; PE, pulmonary embolism.
Zoom Image
Fig. 2 Binary logistic regression. The dichotomous response variable is the detection of pulmonary embolism. ECOG PS, Eastern Cooperative Group Performance Status; VTE, venous thromboembolism; TNM, tumour, node, metastases.

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Characteristics of VTE and Prognosis

In patients with PE, the data do not contradict the hypothesis that the rate of multiple (47.9 vs. 41.6%, χ2 = 1.12, df = 1, p-value = 0.289) or central PEs (58.4 vs. 67.5%, χ2 = 2.43, df = 1, p-value = 0.118) is similar in subjects without versus with antiangiogenics, respectively. The 12-month cumulative incidence of venous rethrombosis was 6.2% (95% CI, 4.8–7.8) and 5.2% (95% CI, 1.6–11.8), for subjects with or without antiangiogenics, respectively (Fine-Gray test, p-value = 0.852). The cumulative incidence of clinically relevant or major bleeding was 6.7% (95% CI, 5.4–8.3) versus 4.3% (95% CI, 1.4–10.0) with or without antiangiogenic therapy, respectively (Fine-Gray test, p-value = 0.425). Finally, median overall survival (OS) in patients with stage IV tumours with any VTE was 18.6 months (95% CI, 10.5–NA) versus 9.2 months (95% CI, 8.1–10.7) in subjects with or without antiangiogenics, respectively (log-rank test, p-value = 0.02).


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Validation in the Caravaggio Trial

At the time of randomization, 56/86 of the individuals treated with antiangiogenic therapy (65.1%), 218/438 who received chemotherapy without any antiangiogenic (49.7%), and 305/510 of the participants without active treatment (59.8%) had PE (χ2 = 12.791, df = 2, p-value = 0.0016).


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Discussion

Antiangiogenic drugs have been used as antitumour therapy for more than 20 years, but their association with venous thrombotic risk remains unclear. An initial meta-analysis found that individuals treated with bevacizumab suffered more VTE with a relative risk of 1.33 (95% CI, 1.13–1.56) with respect to subjects treated with other therapies.[19] In a second meta-analysis, Hurwitz et al found no differences in incidence of all-grade VTEs for bevacizumab versus controls.[20] Extending to the rest of antiangiogenics, Abdel-Qadir et al found insufficient evidence to contradict the null hypothesis (similar thrombotic risk), although the margins of error were compatible with substantially increased odds, hence, the ‘absence of effect’ interpretation could require additional data. (e.g., for DVT, OR 1.20, 95% CI, 0.86–1.66).[21] One notable limitation was that most randomized controlled trials (RCTs) did not report the type of thromboembolism, preventing the PE/VTE proportion from being estimated. In a third meta-analysis, Liu et al found PE to be uncommon in RCTs of antiangiogenics (approximately 1.7%),[22] impeding the ability to capture how the PE/VTE proportion varied based on these treatments. However, thromboembolism is not a common side effect in clinical trials, patients are not generally asked specifically about them, and half of all cases are asymptomatic. Therefore, it is likely that VTEs are underdiagnosed.[23]

Our study differs from those analyses as it does examine the relative frequency of PEs across subjects who have had any VTE and, consequently, makes it possible to probe into the qualitative characteristics of the events in a broad, prospective cohort. Mainly, we have found that exposure to antiangiogenics was associated with a marked increase in the proportion of PE over DVT. This was consistent across all subgroups, except for active smokers and subjects with COPD. These results were confirmed in the Caravaggio clinical trial.

The hypothesis put forth by our study is compelling because it carries a prediction regarding the role of the VEGF/VEGFR signalling pathway on clot stability and embolic load that can be tested using an animal model. The literature includes some mechanisms that would account for the disparate incidence of DVT and PE in specific situations, generally involving abnormal fibrinolysis or the transglutaminase activity of factor XIII (FXIIIa, or fibrin stabilizing factor).[24] Thus, thromboses in the context of factor V Leiden have been reported as unlikely to embolize given the increased activity of FXIIIa induced by thrombin.[24] In contrast, Shaya et al have demonstrated that direct thrombin inhibitors decrease clot stability in a murine model of thrombosis, raising the associated embolic load.[5] Nevertheless, this mechanism would not explain the variation of embolization risk in other thrombophilic defects[25] or other, more general hypercoagulability states, making it necessary to look for other possible explanations. Key to this is that FXIIIa has a pro-angiogenic effect through the crosslink of αvβ3 integrin with VEGFR-2, which entails the ligand-independent activation of VEGFR-2.[14] [26] VEGFR-2 phosphorylation also appears to control the pro-angiogenic activity of FXIIIa.[26] However, it is not clear how antiangiogenic therapy affects the transglutaminase activity of FXIIIa, thereby affecting clot stability. Further, the interaction between antiangiogenics and the haemostatic system is possibly more complex, involving other elements, such as the endothelium, platelet adhesion, induction of plasminogen activator inhibitor-1, etc.[27] [28] Moreover, the relationship between active smoking and antiangiogenic therapy has not yet been resolved, although some exploratory analyses point toward a decreased therapeutic benefit in smokers.[29] In any event, active smoking per se is associated with resistance to thrombolysis,[30] which would offset the destabilizing effect of the antiangiogenic.

If confirmed, this observation could have practical implications such as prioritizing prevention of potentially fatal episodes, mainly those associated with PE. While attributing fatality to the PE can be complex,[31] the use of dalteparin lowered the rate of lethal thrombosis from 8% to 0 in the FRAGEM RCT,[32] which would possibly translate to improved OS in an adequately powered trial.

Our study has various limitations. We have ruled out possible detection bias of incidental VTE to the best of our ability, although we cannot definitively exclude the possibility of a case being missed. In any case, the data presented here are subanalyses of two different prospective studies, conducted in different settings, which in total encompass the experience of more than 2,570 participants. The fact that the association holds up across multiple subgroups with presumably homogeneous detection patterns (e.g., similar use of CT to re-evaluate response to anticancer therapy, etc.) reduces the possibility of bias. Be that as it may, our results have generated a hypothesis that must be confirmed experimentally. As for generalizing the results to all antiangiogenics, it must be remembered that bevacizumab comprised 75%, most often used to treat advanced colorectal cancer.

In conclusion, antiangiogenic therapy was associated with an increased PE/VTE proportion in cancer patients. If these results are confirmed, the description of this new phenomenon should inform experimental studies to elucidate the mechanism that modifies clot stability, which would require the concept of thrombotic risk to be redefined, based on the qualitative impact with implications for thromboprophylaxis in oncological patients.

What is known about this topic?

  • Pulmonary embolism (PE) and deep vein thrombosis (DVT) have been assumed to share a similar pathophysiological substrate.

  • The mechanisms associated with clot stability and those that prevent embolization have yet to be adequately elucidated.

  • No clear molecular links between pro-angiogenic mechanisms and processes promoting clot stability are currently known.

  • Inasmuch as the incidence of PE in clinical trials of anti-angiogenic drugs has been low, it has not been possible to establish any causal association.

What does this paper add?

  • Antiangiogenics appear to promote clot instability, fostering the development of pulmonary embolisms in both the prospective TESEO registry and the Caravaggio RCT.

  • The effect of antiangiogenics on clot stability was maintained in all subgroups except in active smokers

  • This should inform experimental studies to elucidate the mechanism that modifies clot stability.


#
#

Conflict of Interest

None declared.

Acknowledgments

The authors would like to thank the investigators of the TESEO registry, the Thrombosis Working Group of the Spanish Society of Medical Oncology (SEOM), Priscilla Chase Duran for editing the manuscript and Natalia Cateriano, Miguel Vaquero, IRICOM S.A. for supporting the registry website. Gustavo Reporte has helped in the interpretation of the mathematics of the model.

Ethical Approval

This study was performed in accordance with the ethical standards of the Declaration of Helsinki and its subsequent amendments. This observational, non-interventional trial was approved by the Research Ethics Committees of all centres, and by the Spanish Agency of Medicines and Medical Devices (AEMPS). Signed informed consent was obtained from all patients. Informed consent and approval by the competent national authorities includes permission for publication and dissemination of the data.


Supplementary Material

  • References

  • 1 Heit JA, Silverstein MD, Mohr DN, Petterson TM, O'Fallon WM, Melton III LJ. Risk factors for deep vein thrombosis and pulmonary embolism: a population-based case-control study. Arch Intern Med 2000; 160 (06) 809-815
  • 2 Heit JA, Silverstein MD, Mohr DN, Petterson TM, O'Fallon WM, Melton III LJ. Predictors of survival after deep vein thrombosis and pulmonary embolism: a population-based, cohort study. Arch Intern Med 1999; 159 (05) 445-453
  • 3 Carmona-Bayonas A, Jiménez-Fonseca P, Font C. et al. Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index. Br J Cancer 2017; 116 (08) 994-1001
  • 4 Tutwiler V, Singh J, Litvinov RI, Bassani JL, Purohit PK, Weisel JW. Rupture of blood clots: mechanics and pathophysiology. Sci Adv 2020; 6 (35) c0496
  • 5 Shaya SA, Saldanha LJ, Vaezzadeh N, Zhou J, Ni R, Gross PL. Comparison of the effect of dabigatran and dalteparin on thrombus stability in a murine model of venous thromboembolism. J Thromb Haemost 2016; 14 (01) 143-152
  • 6 Carmona-Bayonas A, Gómez D, Martínez de Castro E. et al. A snapshot of cancer-associated thromboembolic disease in 2018-2019: first data from the TESEO prospective registry. Eur J Intern Med 2020; 78: 41-49
  • 7 van der Hulle T, den Exter PL, Planquette B. et al. Risk of recurrent venous thromboembolism and major hemorrhage in cancer-associated incidental pulmonary embolism among treated and untreated patients: a pooled analysis of 926 patients. J Thromb Haemost 2016; 14 (01) 105-113
  • 8 Plasencia-Martínez JM, Carmona-Bayonas A, Calvo-Temprano D. et al. Prognostic value of computed tomography pulmonary angiography indices in patients with cancer-related pulmonary embolism: data from a multicenter cohort study. Eur J Radiol 2017; 87: 66-75
  • 9 Carmona-Bayonas A, Jiménez-Fonseca P, Garrido M. et al. Multistate models: accurate and dynamic methods to improve predictions of thrombotic risk in patients with cancer. Thromb Haemost 2019; 119 (11) 1849-1859
  • 10 Pabinger I, Thaler J, Ay C. Biomarkers for prediction of venous thromboembolism in cancer. Blood 2013; 122 (12) 2011-2018
  • 11 Khorana AA, Soff GA, Kakkar AK. et al; CASSINI Investigators. Rivaroxaban for thromboprophylaxis in high-risk ambulatory patients with cancer. N Engl J Med 2019; 380 (08) 720-728
  • 12 Browder T, Folkman J, Pirie-Shepherd S. The hemostatic system as a regulator of angiogenesis. J Biol Chem 2000; 275 (03) 1521-1524
  • 13 Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 144 (05) 646-674
  • 14 Dardik R, Loscalzo J, Inbal A. Factor XIII (FXIII) and angiogenesis. J Thromb Haemost 2006; 4 (01) 19-25
  • 15 Al-Husein B, Abdalla M, Trepte M, Deremer DL, Somanath PR. Antiangiogenic therapy for cancer: an update. Pharmacotherapy 2012; 32 (12) 1095-1111
  • 16 Agnelli G, Becattini C, Meyer G. et al; Caravaggio Investigators. Apixaban for the treatment of venous thromboembolism associated with cancer. N Engl J Med 2020; 382 (17) 1599-1607
  • 17 Harrell F. Regression Modeling Strategies: with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd ed.. New York: Springer; 2015
  • 18 R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R. Foundation for Statistical Computing; 2014
  • 19 Nalluri SR, Chu D, Keresztes R, Zhu X, Wu S. Risk of venous thromboembolism with the angiogenesis inhibitor bevacizumab in cancer patients: a meta-analysis. JAMA 2008; 300 (19) 2277-2285
  • 20 Hurwitz HI, Saltz LB, Van Cutsem E. et al. Venous thromboembolic events with chemotherapy plus bevacizumab: a pooled analysis of patients in randomized phase II and III studies. J Clin Oncol 2011; 29 (13) 1757-1764
  • 21 Abdel-Qadir H, Ethier J-L, Lee DS, Thavendiranathan P, Amir E. Cardiovascular toxicity of angiogenesis inhibitors in treatment of malignancy: a systematic review and meta-analysis. Cancer Treat Rev 2017; 53: 120-127
  • 22 Liu M, Zheng Y, Chen Z. et al. Risk of severe pulmonary embolism in cancer patients receiving bevacizumab: results from a meta-analysis of published and unpublished data. Tumor Biol 2017; 39: 1010428317714897
  • 23 Kotlowska MP, Cabezón L, Custodio-Cabello S. Thrombosis incidence in cancer patients treated with antiangiogenic therapy. Ann Oncol 2020; S1052
  • 24 Corral J, Roldán V, Vicente V. Deep venous thrombosis or pulmonary embolism and factor V Leiden: enigma or paradox. Haematologica 2010; 95 (06) 863-866
  • 25 Mäkelburg ABU, Veeger NJGM, Middeldorp S. et al. Different risk of deep vein thrombosis and pulmonary embolism in carriers with factor V Leiden compared with non-carriers, but not in other thrombophilic defects. Results from a large retrospective family cohort study. Haematologica 2010; 95 (06) 1030-1033
  • 26 Dardik R, Loscalzo J, Eskaraev R, Inbal A. Molecular mechanisms underlying the proangiogenic effect of factor XIII. Arterioscler Thromb Vasc Biol 2005; 25 (03) 526-532
  • 27 Verheul HMW, Jorna AS, Hoekman K, Broxterman HJ, Gebbink MF, Pinedo HM. Vascular endothelial growth factor-stimulated endothelial cells promote adhesion and activation of platelets. Blood 2000; 96 (13) 4216-4221
  • 28 Chen N, Ren M, Li R. et al. Bevacizumab promotes venous thromboembolism through the induction of PAI-1 in a mouse xenograft model of human lung carcinoma. Mol Cancer 2015; 14: 140
  • 29 Mitchell P, Mok T, Barraclough H, Strizek A, Lew R, van Kooten M. Smoking history as a predictive factor of treatment response in advanced non-small-cell lung cancer: a systematic review. Clin Lung Cancer 2012; 13 (04) 239-251
  • 30 Ząbczyk M, Królczyk G, Czyżewicz G. et al. Altered fibrin clot properties in advanced lung cancer: strong impact of cigarette smoking. Med Oncol 2019; 36 (04) 37
  • 31 Tritschler T, Kraaijpoel N, Girard P. et al; Subcommittee on Predictive and Diagnostic Variables in Thrombotic Disease. Definition of pulmonary embolism-related death and classification of the cause of death in venous thromboembolism studies: Communication from the SSC of the ISTH. J Thromb Haemost 2020; 18 (06) 1495-1500
  • 32 Maraveyas A, Waters J, Roy R. et al. Gemcitabine versus gemcitabine plus dalteparin thromboprophylaxis in pancreatic cancer. Eur J Cancer 2012; 48 (09) 1283-1292

Address for correspondence

Alberto Carmona-Bayonas, MD, PhD
Hematology and Medical Oncology Department, Centro de Hemodonación de Murcia, Hospital Universitario Morales Meseguer
Calle Marqués de los Vélez s/n, 30008, Murcia, UMU, IMIB, Murcia
Spain   

Publication History

Received: 10 January 2022

Accepted: 22 March 2022

Accepted Manuscript online:
05 April 2022

Article published online:
18 June 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • References

  • 1 Heit JA, Silverstein MD, Mohr DN, Petterson TM, O'Fallon WM, Melton III LJ. Risk factors for deep vein thrombosis and pulmonary embolism: a population-based case-control study. Arch Intern Med 2000; 160 (06) 809-815
  • 2 Heit JA, Silverstein MD, Mohr DN, Petterson TM, O'Fallon WM, Melton III LJ. Predictors of survival after deep vein thrombosis and pulmonary embolism: a population-based, cohort study. Arch Intern Med 1999; 159 (05) 445-453
  • 3 Carmona-Bayonas A, Jiménez-Fonseca P, Font C. et al. Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index. Br J Cancer 2017; 116 (08) 994-1001
  • 4 Tutwiler V, Singh J, Litvinov RI, Bassani JL, Purohit PK, Weisel JW. Rupture of blood clots: mechanics and pathophysiology. Sci Adv 2020; 6 (35) c0496
  • 5 Shaya SA, Saldanha LJ, Vaezzadeh N, Zhou J, Ni R, Gross PL. Comparison of the effect of dabigatran and dalteparin on thrombus stability in a murine model of venous thromboembolism. J Thromb Haemost 2016; 14 (01) 143-152
  • 6 Carmona-Bayonas A, Gómez D, Martínez de Castro E. et al. A snapshot of cancer-associated thromboembolic disease in 2018-2019: first data from the TESEO prospective registry. Eur J Intern Med 2020; 78: 41-49
  • 7 van der Hulle T, den Exter PL, Planquette B. et al. Risk of recurrent venous thromboembolism and major hemorrhage in cancer-associated incidental pulmonary embolism among treated and untreated patients: a pooled analysis of 926 patients. J Thromb Haemost 2016; 14 (01) 105-113
  • 8 Plasencia-Martínez JM, Carmona-Bayonas A, Calvo-Temprano D. et al. Prognostic value of computed tomography pulmonary angiography indices in patients with cancer-related pulmonary embolism: data from a multicenter cohort study. Eur J Radiol 2017; 87: 66-75
  • 9 Carmona-Bayonas A, Jiménez-Fonseca P, Garrido M. et al. Multistate models: accurate and dynamic methods to improve predictions of thrombotic risk in patients with cancer. Thromb Haemost 2019; 119 (11) 1849-1859
  • 10 Pabinger I, Thaler J, Ay C. Biomarkers for prediction of venous thromboembolism in cancer. Blood 2013; 122 (12) 2011-2018
  • 11 Khorana AA, Soff GA, Kakkar AK. et al; CASSINI Investigators. Rivaroxaban for thromboprophylaxis in high-risk ambulatory patients with cancer. N Engl J Med 2019; 380 (08) 720-728
  • 12 Browder T, Folkman J, Pirie-Shepherd S. The hemostatic system as a regulator of angiogenesis. J Biol Chem 2000; 275 (03) 1521-1524
  • 13 Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 144 (05) 646-674
  • 14 Dardik R, Loscalzo J, Inbal A. Factor XIII (FXIII) and angiogenesis. J Thromb Haemost 2006; 4 (01) 19-25
  • 15 Al-Husein B, Abdalla M, Trepte M, Deremer DL, Somanath PR. Antiangiogenic therapy for cancer: an update. Pharmacotherapy 2012; 32 (12) 1095-1111
  • 16 Agnelli G, Becattini C, Meyer G. et al; Caravaggio Investigators. Apixaban for the treatment of venous thromboembolism associated with cancer. N Engl J Med 2020; 382 (17) 1599-1607
  • 17 Harrell F. Regression Modeling Strategies: with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd ed.. New York: Springer; 2015
  • 18 R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R. Foundation for Statistical Computing; 2014
  • 19 Nalluri SR, Chu D, Keresztes R, Zhu X, Wu S. Risk of venous thromboembolism with the angiogenesis inhibitor bevacizumab in cancer patients: a meta-analysis. JAMA 2008; 300 (19) 2277-2285
  • 20 Hurwitz HI, Saltz LB, Van Cutsem E. et al. Venous thromboembolic events with chemotherapy plus bevacizumab: a pooled analysis of patients in randomized phase II and III studies. J Clin Oncol 2011; 29 (13) 1757-1764
  • 21 Abdel-Qadir H, Ethier J-L, Lee DS, Thavendiranathan P, Amir E. Cardiovascular toxicity of angiogenesis inhibitors in treatment of malignancy: a systematic review and meta-analysis. Cancer Treat Rev 2017; 53: 120-127
  • 22 Liu M, Zheng Y, Chen Z. et al. Risk of severe pulmonary embolism in cancer patients receiving bevacizumab: results from a meta-analysis of published and unpublished data. Tumor Biol 2017; 39: 1010428317714897
  • 23 Kotlowska MP, Cabezón L, Custodio-Cabello S. Thrombosis incidence in cancer patients treated with antiangiogenic therapy. Ann Oncol 2020; S1052
  • 24 Corral J, Roldán V, Vicente V. Deep venous thrombosis or pulmonary embolism and factor V Leiden: enigma or paradox. Haematologica 2010; 95 (06) 863-866
  • 25 Mäkelburg ABU, Veeger NJGM, Middeldorp S. et al. Different risk of deep vein thrombosis and pulmonary embolism in carriers with factor V Leiden compared with non-carriers, but not in other thrombophilic defects. Results from a large retrospective family cohort study. Haematologica 2010; 95 (06) 1030-1033
  • 26 Dardik R, Loscalzo J, Eskaraev R, Inbal A. Molecular mechanisms underlying the proangiogenic effect of factor XIII. Arterioscler Thromb Vasc Biol 2005; 25 (03) 526-532
  • 27 Verheul HMW, Jorna AS, Hoekman K, Broxterman HJ, Gebbink MF, Pinedo HM. Vascular endothelial growth factor-stimulated endothelial cells promote adhesion and activation of platelets. Blood 2000; 96 (13) 4216-4221
  • 28 Chen N, Ren M, Li R. et al. Bevacizumab promotes venous thromboembolism through the induction of PAI-1 in a mouse xenograft model of human lung carcinoma. Mol Cancer 2015; 14: 140
  • 29 Mitchell P, Mok T, Barraclough H, Strizek A, Lew R, van Kooten M. Smoking history as a predictive factor of treatment response in advanced non-small-cell lung cancer: a systematic review. Clin Lung Cancer 2012; 13 (04) 239-251
  • 30 Ząbczyk M, Królczyk G, Czyżewicz G. et al. Altered fibrin clot properties in advanced lung cancer: strong impact of cigarette smoking. Med Oncol 2019; 36 (04) 37
  • 31 Tritschler T, Kraaijpoel N, Girard P. et al; Subcommittee on Predictive and Diagnostic Variables in Thrombotic Disease. Definition of pulmonary embolism-related death and classification of the cause of death in venous thromboembolism studies: Communication from the SSC of the ISTH. J Thromb Haemost 2020; 18 (06) 1495-1500
  • 32 Maraveyas A, Waters J, Roy R. et al. Gemcitabine versus gemcitabine plus dalteparin thromboprophylaxis in pancreatic cancer. Eur J Cancer 2012; 48 (09) 1283-1292

Zoom Image
Fig. 1 Differences between proportions of pulmonary embolism with or without antiangiogenic. Positive differences indicate more embolisms in subjects receiving an antiangiogenic. Newcombe's method was used to calculate the confidence interval for the difference between proportions. TNM, tumour, node, metastases; VTE, venous thromboembolism; CT, computed tomography; DVT, deep vein thrombosis; COPD, chronic obstructive pulmonary disease; PE, pulmonary embolism.
Zoom Image
Fig. 2 Binary logistic regression. The dichotomous response variable is the detection of pulmonary embolism. ECOG PS, Eastern Cooperative Group Performance Status; VTE, venous thromboembolism; TNM, tumour, node, metastases.