Cancer associated thrombosis (CAT) is a major cause of morbidity and mortality in cancer patients.
While the majority of cancer patients remain at low risk for VTE, the identification of patient candidates for surveillance or thromboprophylaxis remains a daunting clinical challenge.
Maybe, variables not included in these tools may influence the risk of VTE. The discovery of additional factors associated with CAT is a pivotal step for the refinement of risk assessment strategies. The level of circulating tumor cells (CTCs) is a prognostic biomarker of progression-free survival and overall survival for many solid tumors.
CTCs aggregate with platelets and coagulation factors to form circulating tumor microemboli (CTM) that are more likely than CTCs to overcome the stressors of physical shear forces and immune surveillance in the bloodstream.
Clinicians currently include platelet counts in Khorana score calculations, but do not incorporate the platelet-lymphocyte ratio (PLR). PLR is a marker for poor prognosis in coronary artery disease.
We conducted a prospective single-center study at the A.C. Camargo Cancer Center, São Paulo, Brazil. Patients with gastric cancer were recruited at the Department of Abdominal Surgery, from March 2016 to April 2017, and were followed until January 2018. This study was approved by the institutional research ethic committee (Protocol No. 2134/15).
Inclusion criteria were diagnosis of gastric adenocarcinoma; age >18 years; measurable or evaluable disease; and no surgery for <4 weeks prior to sample collection. Patients receiving therapeutic anticoagulation were excluded. Methods of CTC analysis of patients with non-metastatic gastric cancer were published recently.
Figure 1 Receiver operating characteristic curve (ROC curve) showing the point where the cut-off value (PLR = 288) was determined.
Patients were stratified for VTE risk by using a predictive model for chemotherapy-associated thrombosis (Khorana score), which includes the following variables: site of cancer; platelet count; hemoglobin level; leukocyte count; and body mass index.
CTCs and CTM in peripheral blood were quantified by ISET® (Isolation by SizE of Tumor Cells, Rarecells, France) as described previously by Abdallah et al. (2019).
Figure 2 Circulating tumor cell (CTC) and circulating tumor microemboli (CTM) isolated from blood of a patient with metastatic gastric cancer after filtration on ISET. CTC and CTM were visualized by hematoxylin. CTM were characterized by the conglomeration of monomorphic overlapping cells with oval nuclei featuring condensed chromatin and poorly visible nucleoli. Small and black circles represent pores of ISET membrane. Images were taken at 400x magnification using a light microscWope (Research System Microscope BX61 - Olympus, Tokyo, Japan) coupled to a digital camera (SC100 - Olympus, Tokyo, Japan).
CTM were defined as clusters composed of at least three CTCs (
VTE comprised upper and lower limb deep vein thrombosis (DVT), pulmonary embolism, catheter-related thrombosis, and visceral vein thrombosis. Objective tests (ultrasonography or helical computed tomography) confirmed all VTE episodes.
We performed a descriptive analysis in which patient baseline characteristics were expressed as absolute and relative frequencies for qualitative variables and as the mean, median, minimum, maximum, and standard deviation for quantitative variables. Associations between qualitative variables were evaluated by the chi-squared test. RFS was assessed to the date of the event of interest. Patients who died or lost the follow-up were censored on the date of death or on the last study visit, respectively. Kaplan-Meier analysis was used to estimate survival curves, and differences between curves were evaluated by the log-rank test. For variables such as PLR and CTCs, the determination of two groups of observations with respect to a simple cut-off point was estimated by using the maximum of the standardized log-rank statistic proposed by Lausen and Schumacher (1992).
| Variable | Category | n (%) |
|---|---|---|
| Gender | Male | 59 (63) |
| Female | 34 (37) | |
| Age (years) | Mean (SD) | 59.67 (13.93) |
| Median (Min-Max) | 59 (34 - 86) | |
| Stage | Localized disease | 67 (75) |
| Metastatic disease | 22 (25) | |
| Histologic subtypes | Intestinal Diffuse | 33 (35) 46 (49) |
| Mixed | 13 (14) | |
| Indeterminate | 1 (2) | |
| Surgical treatment | Yes | 49 (53) |
| No | 44 (47) | |
| Khorana score | Intermediate | 63 (68) |
| High | 30 (32) | |
| VTE episode | PE Proximal DVT lower limbs Distal DVT lower limbs Proximal DVT upper limbs | 7 (37) 3 (16) 0 (0) 4 (21) |
| Distal DVT upper limbs | 0 (0) | |
| Splanchnic DVT | 2 (10.5) | |
| DVT associated with central venous catheter | 2 (10.5) | |
| Thrombophlebitis | 1 (5) |
Abbreviations: DVT: Deep venous thrombosis; PE: Pulmonary embolism; VTE: Venous thromboembolism.
Ninety-three patients were included; 4 patients were lost to follow-up and two did not have blood available for evaluation due technical reasons. So, a total of 6 cases were not included in the statistical analysis. The median age was 59 years (range 34-86); 59 (63.4%) were male. Metastatic disease was present in 21 (22.6%) cases. CTM was positive in 41 (44%) patients. The median follow-up duration was 531 days. Thirty-seven (39.8%) patients died during the study. VTE developed in 19 (20.4%) patients. There were 7 (36.8%) patients with pulmonary embolism, 4 (21%) with upper limb DVT, 3 (15.8%) lower limb DVT, 2 (10.5%) catheter-related DVT, two (10.5%) with splanchnic DVT, and one (5.25%) patient with superficial thrombophlebitis. According to Khorana scores, 63 (67.7%) patients were at intermediate and 30 (32.3%) were at high- risk for VTE. Demographic characteristics are described in
The incidence of VTE during the study period was 20.4% (n=19 cases). The 1-year cumulative incidence of VTE was 14.2% (95% confidence interval 7.2-21.2). VTE developed in 7 (18.9%) of 37 CTM-positive patients, and in 11 (22%) of 50 CTM-negative patients (p=0.93 for the association of CTM with VTE, total of 6 missing cases). This lack of association persisted when adjusted for stage of the disease. A high-risk Khorana score was not associated with an increased risk of VTE compared to intermediate-risk scores (
We found that PLR >288 was associated with a higher incidence of VTE; 7 of 14 developed VTE (probability of 50%, p=0.005). This association persists when adjusted for metastases (
CTC counts at baseline (CTC1) higher than zero were associated with better RFS, whereas <2 CTCs/mL at the second collection (CTC2) was associated with better RFS (p=0.0054 and p<0.0001, respectively) (
| Variable | Category | VTE | p-value | |
|---|---|---|---|---|
| No | Yes | |||
| Microemboli | No | 39 (56.5%) | 11 (61.1%) | 0.934 |
| Yes | 30 (43.5%) | 7 (38.9%) | ||
| Khorana | Intermediate | 49 (70%) | 10 (52.6%) | 0.251 |
| High | 21 (30%) | 9 (47.4%) | ||
Abbreviations: CTM: Circulating tumor microemboli; VTE: Venous thromboembolism;
6 missing cases,
4 missing cases.
| Variable | Category | Simple logistic model | Multiple logistic model | ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI for OR | p-value | OR | 95% CI for OR | p-value | ||
| Lower Upper | Lower Upper | ||||||
| PLR | <=288 >288 | 5,300 | 1,524 18,437 | 0,009 | 4,298 | 1,135 16,270 | 0,032 |
| Metastases | No Yes | 2,872 | ,976 8,449 | 0,055 | 1,765 | ,488 6,375 | 0,386 |
Abbreviation: PLR: Platelet-lymphocyte ratio.
| Simple Cox regression model | Multiple Cox regression model* | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Category | n | HR | CI (95%) for HR | p-value | n | HR | CI (95%) for HR | p-value | ||
| Lower | Upper | Lower | Upper | ||||||||
| CTC1 | 0 | 12 | |||||||||
| >0 | 74 | 0.388 | 0.194 | 0.775 | 0.007 | ||||||
| CTC2 | ≥2 | 31 | 30 | ||||||||
| >2 | 14 | 4.92 | 1.81 | 13.41 | 0.002 | 9 | 9.61 | 1.97 | 46.82 | 0.005 | |
| PLR | ≥297 | 64 | 33 | ||||||||
| >297 | 12 | 4.03 | 1.90 | 8.53 | <0.0001 | 6 | 5.28 | 1.05 | 26.58 | 0.043 | |
| VTE | No | 68 | 30 | ||||||||
| Yes | 18 | 8.44 | 4.16 | 17.31 | <0.0001 | 9 | 60.12 | 8.90 | 406.0 | <0.0001 | |
Abbreviations: CTC2: CTCs counts at second collection; PFS: Progression free survival); PLR: Platelet-lymphocyte ratio); VTE: Venous thromboembolism.
Figure 3 Kaplan-Meier estimate of recurrence-free survival according to CTCs counts at baseline (CTC1). CTC1 higher than 0 were associated with better recurrence-free survival (p=0.0054).
Figure 4 Kaplan-Meier estimate of recurrence-free survival according to CTC counts at second collection (CTC2). CTC2 < 2 CTCs/mL were associated with better recurrence-free survival (p<0.0001).
Figure 5 Kaplan-Meier estimate of progression-free survival according to platelet-lymphocyte ratio (PRL). PLR higher than 297 associated with poor PFS (p<0.0001).
Because a previous study suggested an association of CTCs with an increased risk of VTE in breast cancer patients (12), and due the procoagulant potential of CTM, our rationale was to determine if CTCs/ CTM levels together with PLR could more accurately predict VTE incidence in patients considered at intermediate or high risk according to the Khorana score.
We found a cumulative VTE incidence of 20.4%, which is consistent with the literature. An epidemiologic study of a gastric cancer population found a 2-year cumulative VTE incidence that ranged from 0.5% to 24%, varying according to tumor stages, from I (M0) to IV (M1).
Although there is rationale to suggest a hypothetical relationship of CTM with the incidence of VTE, this potential association was not empirically validated in our clinical setting. Interestingly, patients with high- and intermediate-risk Khorana scores also showed no statistical difference of VTE incidence. Probably, the fact that we analyzed these factors in patients with localized and metastatic disease had interfered with the results.
Our finding of a 50% probability of VTE when PLR is >288 supports the role of platelets in activating the coagulation cascade. This is a strong finding as it correlated with VTE even in a mixture patient population. In addition, higher baseline PLR was also associated with poor PFS, corroborating previous findings that platelets enable CTCs to evade immune responses and facilitate epithelial-mesenchymal transition.
An interesting finding was that patients with CTCs at baseline had better PFS. We suggest that the early presence of these cells in the bloodstream stimulated effective anti-tumor immune responses. More interesting is the finding that patients with higher CTC levels at CTC2 had poor RFS. We suggest that CTC bloodstream invasion at varying timepoints may have differential effects on RFS.
These results underscore the complexity of CTC, CTM, and platelet interactions and the difficulty to predict which cancer patient will develop VTE.
The burden of CAT imposes not only mortality, but also morbidity, anti-coagulation costs, and anti-neoplastic treatment interruption.
The drawbacks of our study are first a limited number of patients with localized and metastatic gastric cancer. In our cohort, 86 patients had blood collection for CTC1 analysis and 45 for CTC2. Probably, there was a survivor bias and consequently, selection of patients with better prognosis in the metastatic group. It is possible that most of patients did not make the second blood collection (CTC2) for poor prognosis or death. CTC1 and CTC2 had different timepoints depending on whether the disease was localized or metastatic and this could influence RFS as also the presence of CTM and VTE. Although PLR association with VTE was not our primary outcome, this finding is congruent with previous studies. Besides, our cut-off (288) value was quite similar to Ferroni cut-off (260).
To the best of our knowledge, our study is one of the very first to find that PLR, CTC2, and VTE are independent prognostic factors for RFS in gastric cancer. Our findings reinforce the difficulty to foresee which cancer patients will develop VTE. Neither CTC, nor CTM improved this prediction, but PLR could constitute new prognostic biomarker with the advantage of being easy, feasible and of low cost. A study of a larger cohort could better evaluate these factors. Until there, the use of safer anticoagulants in patients at low risk of hemorrhage could be continued to address this dilemma.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Journal: Brazilian Journal of Oncology
DOI: 10.1055/s-00059887
e-issn: 2526-8732
Publisher: Thieme Revinter Publicações Ltda.
Publisher address: Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
No citations found for this article.
1. Khorana, AA and Francis, CW and Culakova, E and Kuderer, NM and Lyman, GH. Thromboembolism is a leading cause of death in cancer patients receiving outpatient chemotherapy. J Thromb Haemost [online]. 2007, vol. 5, p. 632-634.
2. Heit, JA and Silverstein, MD and Mohr, DN and Petterson, TM and O'Fallon, WM and Melton, LJ. Risk factors for deep vein thrombosis and pulmonary embolism: a population-based case-control study. Arch Intern Med [online]. 2000, vol. 160, p. 809-815.
3. Heit, JA and Spencer, FA and White, RH. The epidemiology of venous thromboembolism. J Thromb Thrombolysis [online]. 2016, vol. 41, p. 3-14.
4. Silverstein, MD and Heit, JA and Mohr, DN and Pettterson, TM and O'Falon, WM and Melton, LJ. Trends in the incidence of deep vein thrombosis and pulmonary embolism. Arch Intern Med [online]. 1998, vol. 158, p. 585-593.
5. Khorana, AA and Francis, CW. Risk prediction of cancer-associated thrombosis: appraising the first decade and developing the future. Thromb Res [online]. 2018, vol. 164, p. S70-S6.
6. Khorana, AA and Kuderer, NM and Culakova, E and Lyman, GH and Francis, CW. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood [online]. 2008, vol. 111, p. 4902-4907.
7. Verso, M and Agnelli, G and Barni, S and Gasparini, G and LaBianca, R. A. modified Khorana risk assessment score for venous thromboembolism in cancer patients receiving chemotherapy: the Protecht score. Intern Emerg Med [online]. 2012, vol. 7, p. 291-292.
8. Ay, C and Dunkler, D and Marosi, C and Chiriac, AL and Vormittag, R and Simanek, R. Prediction of venous thromboembolism in cancer patients. Blood [online]. 2010, vol. 116, p. 5377-5382.
9. Nichetti, F and Ligorio, F and Montelatici, G and Porcu, L and Zattarin, E and Provenzano, L. Risk assessment of thromboembolic events in hospitalized cancer patients. Sci Rep [online]. 2021, vol. 11, p. 18200.
10. Cristofanilli, M and Budd, GT and Ellis, MJ and Stopeck, A and Matera, J and Miller, MC. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med [online]. 2004, vol. 351, p. 781-791.
11. Abdallah, EA and Braun, AC and Flores, BCTCP and Senda, L and Urvanegia, AC and Calsavara, V. The potential clinical implications of circulating tumor cells and circulating tumor microemboli in gastric cancer. Oncologist [online]. 2019, vol. 24, p. 854-863.
12. Phillips, KG and Lee, AM and Tormoen, GW and Rigg, RA and Kolatkar, A and Luttgen, M. The thrombotic potential of circulating tumor microemboli: computational modeling of circulating tumor cell-induced coagulation. Am J Physiol Cell Physiol [online]. 2015, vol. 308, p. C229-C36.
13. Mego, M and De Giorgi, U and Broglio, K and Dawood, S and Valero, V and Andreopoulou, E. Circulating tumour cells are associated with increased risk of venous thromboembolism in metastatic breast cancer patients. Br J Cancer [online]. 2009, vol. 101, p. 1813-1816.
14. Beinse, G and Berger, F and Cottu, P and Dujaric, ME and Kriegel, I and Guilhaume, MN. Circulating tumor cell count and thrombosis in metastatic breast cancer. J Thromb Haemost [online]. 2017, vol. 15, p. 1981-1988.
15. Bystricky, B and Reuben, JM and Mego, M. Critical reviews in oncology/hematology circulating tumor cells and coagulation - minireview. Crit Rev Oncol/Hematol [online]. 2017, vol. 114, p. 33-42.
16. Tormoen, GW and Haley, KM and Levine, RL and McCarty, OJT. Do circulating tumor cells play a role in coagulation and thrombosis?. Front Oncol [online]. 2012, vol. 10, p. 115.
17. Yüksel, M and Yıldız, A and Oylumlu, M and Akyüz, A and Aydın, M and Kaya, H. The association between platelet/lymphocyte ratio and coronary artery disease severity. Anatol J Cardiol [online]. 2015, vol. 15, p. 640-647.
18. Hudzik, B and Szkodzinski, J and Gorol, J and Niedziela, J and Lekston, A and Gasior, M. Platelet-to-lymphocyte ratio is a marker of poor prognosis in patients with diabetes mellitus and ST-elevation myocardial infarction. Biomark Med [online]. 2015, vol. 9, p. 199-207.
19. Ferroni, P and Riondino, S and Formica, V and Cereda, V and Tosetto, L and La Farina, F. Venous thromboembolism risk prediction in ambulatory cancer patients: clinical significance of neutrophil/lymphocyte ratio and platelet/lymphocyte ratio. Int J Cancer [online]. 2015, vol. 136, p. 1234-1240.
20. Lausen, B and Schumacher, M. Maximally selected rank statistics. Biometrics [online]. 1992, vol. 48, p. 73.
21. Key, NS and Khorana, AA and Kuderer, NM and Bohlke, K and Lee, AYY and Arcelus, JI. Venous thromboembolism prophylaxis and treatment in patients with cancer: ASCO clinical practice guideline update. J Clin Oncol [online]. 2020, vol. 38, p. 496-520.
22. Krebs, MG and Hou, JM and Sloane, R and Lancashire, L and Priest, L and Nonaka, D. Analysis of circulating tumor cells in patients with non-small cell lung cancer using epithelial marker-dependent and -independent approaches. J Thorac Oncol [online]. 2012, vol. 7, p. 306-315.
23. Lee, KW and Bang, SM and Kim, S and Lee, HJ and Shin, DY and Koh, Y. The incidence, risk factors and prognostic implications of venous thromboembolism in patients with gastric cancer. J Thromb Haemost [online]. 2010, vol. 8, p. 540-547.
24. Khorana, AA. Simplicity versus complexity: an existential dilemma as risk tools evolve. Lancet Haematol [online]. 2018, vol. 5, p. e273-e4.
25. Carrier, M and Abou-Nassar, K and Mallick, R and Tagalakis, V and Shivakumar, S and Schattner, A. Apixaban to prevent venous thromboembolism in patients with cancer. N Engl J Med [online]. 2019, vol. 380, p. 711-719.
26. Khorana, AA and Soff, GA and Kakkar, AK and Vadhan-Raj, S and Riess, H and Wun, T. Rivaroxaban for thromboprophylaxis in high-risk ambulatory patients with cancer. N Engl J Med [online]. 2019, vol. 380, p. 720-728.
27. Khorana, AA and Noble, S and Lee, AYY and Soff, G and Meyer, G and O'Connell, C. Role of direct oral anticoagulants in the treatment of cancer-associated venous thromboembolism: guidance from the SSC of the ISTH. J Thromb Haemost [online]. 2018, vol. 16, p. 1891-1894.
28. Ay, C and Pabinger, I and Cohen, AT. Cancer-associated venous thromboembolism: burden, mechanisms, and management. Thromb Haemost [online]. 2017, vol. 117, p. 219-230.
Dados de acesso insuficientes para visualização no mapa.