About the Authors:
Diego M. Prost
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing
* E-mail: [email protected]
Affiliation: Neuro-Oncology Unit, Medical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
ORCID logo https://orcid.org/0000-0002-4962-8611
Martín A. Merenzon
Roles Data curation, Resources
Affiliation: Neuro-Oncology Unit, Surgical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
José I. Gómez-Escalante
Roles Data curation
Affiliation: Pathology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Andrés Primavera
Roles Data curation, Software
Affiliation: Medical Imaging Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Mara Vargas Benítez
Roles Data curation, Software
Affiliation: Medical Imaging Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Andrés S. Gil
Roles Investigation, Resources, Software
Affiliation: Radiation Oncology, Centro privado de Radioterapia, Río Cuarto, Córdoba, Argentina
ORCID logo https://orcid.org/0000-0001-5312-6406
Pablo M. Marenco
Roles Data curation, Investigation
Affiliation: Radiation Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
María M. Califano
Roles Data curation, Formal analysis, Investigation, Methodology, Supervision
Affiliation: Psico-Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Carolina Moughty Cueto
Roles Data curation
Affiliation: Neuro-Oncology Unit, Surgical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Juan M. Zaloff Dakoff
Roles Data curation
Affiliation: Neuro-Oncology Unit, Surgical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Mario Colonna
Roles Data curation
Affiliation: Neuro-Oncology Unit, Surgical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Alejandro Mazzón
Roles Data curation
Affiliation: Neuro-Oncology Unit, Surgical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Roberto S. Zaninovich
Roles Data curation, Resources, Supervision
Affiliation: Neurosurgery Department, Hospital de Clínicas José de San Martín, Universidad de Buenos Aires, Buenos Aires, Argentina
Oscar R. De Cristófaro
Roles Supervision, Writing – review & editing
Affiliations Neuro-Oncology Unit, Medical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina, Clinical Oncology Department, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
Introduction
High-grade gliomas (HGG) are the most frequent malignant brain tumors in adults, and tumor recurrence after surgery is almost inevitable [1]. The gold-standard treatment involves a chemoradiation treatment strategy based on temozolomide, and has been used since the early 2000’s. Its widespread use has duplicated the number of patients alive after 2 years after diagnosis [2–4]. In addition to chemoradiation, maximal safe surgical resection is one of the key factors in improving patient outcomes [5]. Also, starting adjuvant treatment within six weeks after surgery is strongly recommended [6, 7].
The state of Argentinian health care is linked to the several economic crises that the country has suffered in recent history [8]. The Buenos Aires Metropolitan Area (BAMA) has 14 million people that come from every socioeconomic background [9]. The healthcare that patients in the Buenos Aires Metropolitan Area receive depends on their socioeconomic status and where they live [10]. To date there is only one published study that analyzed brain cancer patients’ access to treatment and their outcomes in Argentina [11]. This previous work showed significant differences between public and private institutions throughout the country and the lack of access to specialized brain tumor teams. In many cases after their initial diagnosis patients had to be referred to another facility for an MRI, to consult a neurosurgeon or to receive radiotherapy. However, this study did not assess the impact of access to healthcare on disease progression.
Here, we conducted a retrospective study with HGG patients from the BAMA treated in our center, as well as consultation cases. The primary aim of our study was to examine whether time to chemoradiation affected disease progression, specifically to see if there was an increased risk of progression per week of delay. We also evaluated clinical and histological characteristics which could affect progression-free survival.
Methods
We selected patients who consulted our neuro-oncology unit at Instituto de Oncología Ángel Roffo with a histological diagnosis of HGG between January 2014 and March 2020. Eligible patients met the following inclusion criteria: > 18 years of age, ECOG performance status of 2 or less, living in the BAMA, histological diagnosis of glioblastoma (GBM), anaplastic astrocytoma (AA) or high-grade glioma NOS (HGGnos), admitted in ICU after surgery for no more than 72 hours, and no record of infection or perioperative complications. Molecular tests for IDH1-2 wild type (isocitrate dehydrogenase type 1 and 2), MGMT (O6-Methylguanine-DNA methyl transferase) non-methylated, but not 1p/19q co-deletion were included (Fig 1). From the original 93 patients only 63 were suitable for further analysis under these criteria. The most common reason for exclusion was spending more than 72 hours in the ICU due to infections or fistula after surgery that led to unavoidable delays in chemoradiation. We also had to exclude cases in which we were unable to measure the time from surgery to chemoradiation, symptom development or both. The following data was collected from patient clinical records: sex, age at diagnosis, tumor lobe location, date of surgery, type of surgery (maximal safe resection for those with less than 10% of lesion remaining; incomplete resection for those with between 10–50% of lesion remaining, and biopsy when there was >50% of lesion remaining), area of residence in BAMA (City of Buenos Aires; North side; West side or South side), type of health insurance (public or private), number of consultations with a specialist before surgery (including visits to any referral consultation with a specialized care giver or procedure that could not be performed in the original place of treatment), time to surgery after the first symptom, time to chemoradiation (stratified in <5 weeks; 5–8 weeks and >8 weeks from surgery to chemoradiation to analyze the possible risk increase per week of delay) and progression-free survival (PFS, defined as the time from surgery to the development of new lesions as detected by MRI). Progressive disease was defined using the RANO criteria [12]. The data we collected was anonymized and codified to preserve participants’ identity according to the Argentine law [13]. We received approval from the Instituto Roffo Clinical ethics committee, which decided that due to the retrospective nature of this work no informed consent was required. However, every patient recruited was informed and gave oral or written approval for the use of their clinical data after anonymization.
[Figure omitted. See PDF.]
Fig 1. Buenos Aires Metropolitan Area (BAMA) map.
Different colors show the districts where patients live and the location of Instituto de Oncología Á. Roffo in Buenos Aires City. Data presented: number of consultations with a specialist before surgery (median); time to surgery from the first symptom (median weeks), time to chemoradiation from surgery procedure (median weeks); distinguishing patients from the public and private sector.
https://doi.org/10.1371/journal.pone.0249486.g001
The statistical analysis of time to progression was performed with the Kaplan-Meier method. We used the Cox proportional hazards model to calculate adjusted univariate hazard ratios (HR) and their 95% Cis. Statistical analyses were conducted using IBM SPSS Statistics 25 (IBM, Armonk, New York, USA). P-values <0.05 were considered statistically significant.
Results
A total of 63 HGG cases were included in this study, including 27 females (41.3%) and 36 males (58.7%) with a median age of 54 (ranging from 19 to 86) years old. Most tumors were located in the parietal lobe 47.6% (n = 30), and 49.2% (n = 31) achieved a maximal safe resection. The most frequent histological diagnosis was GBM (n = 54; 85.7%), followed by AA (n = 7; 11.1%) and HGGnos (n = 2; 3.1%). The number of patients with public and private health insurance was similar, with 55.6% (n = 35) of patients having public versus 44.4% (n = 28) having private health insurance (further information can be found in Table 1).
[Figure omitted. See PDF.]
Table 1. Patient’s characteristics.
https://doi.org/10.1371/journal.pone.0249486.t001
After symptom onset our patients had a median of 3.6 consultations with specialists. Patients with public heathcare had a median of 3 consultations versus 2 for patients with private healthcare in almost all of the districts in the BAMA. The difference in time to surgery was 5.03 (CI 4.03–5.75) weeks for patients with public healthcare versus 1.86 (CI 1.5–2.22) weeks for patients with private healthcare. The time to chemoradiation was binned into three groups: 36.5% (n = 23) received chemoradiation in <5 weeks; 28.6% (n = 18) in 5–8 weeks; and 34.9% (n = 18) in >8 weeks.
The univariate analysis for PFS showed a significant correlation between temporal lobe location (p = 0.033) and time to chemoradiation >8 weeks after surgery (p = 0.006). Also, the surgical outcome was significant for patients that received a biopsy (p = 0.002, HR 0.276 CI 0.134–0.566) and maximal safe resection (p = 0.021, HR 1.81 CI 1.09–3). Histological diagnosis of GBM (p = 0.002, HR 0.299 CI 0.125–0.715) and AA/HGGnos (p = 0.002, HR 3.34 CI1.39–8.01) were significantly associated with PFS. AA and HGGnos were analyzed together due to the low number of patients with HGGnos. IDH1-2 status did not represent a considerable biomarker for our population (p = 0.529). Multivariate analysis for PFS showed statistical significance for histological diagnosis, lobe location and biopsy intervention. See Table 2.
[Figure omitted. See PDF.]
Table 2. Univariate and multivariate analysis for PFS.
https://doi.org/10.1371/journal.pone.0249486.t002
Kaplan-Meier analysis revealed a median PFS of 7 months (CI 5.72–8.27). Sub-group analysis showed a tendency of median PFS of 10 months (p = 0.058, CI 4.66–15.33) for patients with tumors located in the temporal lobe compared to 5 months (CI 3.21–5.68) for those with tumors located in the parietal lobe (Fig 2). GBM patients had a median PFS of 6 months (p = 0.003, CI 4.80–7.19) vs AA/HGGnos patients who had a median PFS of 13 months (CI 8.31–17.68). IDH1-2 status did not show significant differences between patients with wild type versus unknown status, with a median PFS of 6 (CI 3.98–8.01) and 7 months (CI 5.37–8.62, p = 0.529), respectively. Patients who achieved maximal safe resection had a PFS of 8 months (p = 0.001, CI 5.81–10.18); compared to 5 months (CI 3.62–6.37) for those who received an incomplete resection, and 3 months (CI 1.45–4.55) with patients that only received a biopsy. Time to chemoradiation also demonstrates a significant difference for patients who started treatment <5 weeks from surgery with a median PFS of 10 months (p = 0.014, CI 6.89–13.10); compared to 7 months (CI 4.93–9.06) for patients who began treatment after 5 to 8 weeks, and 4 months (CI 3.76–4.26) for patients who waited >8 weeks to begin treatment. Finally, there was no difference in PFS for patients with public vs. private health insurance (7 vs 6 months respectively, p = 0.842; CI 0.57–1.57).
[Figure omitted. See PDF.]
Fig 2.
Kaplan-Meier curves for PFS for (A) tumor lobe location, (B) histology, (C) IDH status, (D) surgical procedure and (E) time to chemoradiation.
https://doi.org/10.1371/journal.pone.0249486.g002
Discussion
Access to healthcare access is an important issue for any society, but even more so in the Buenos Aires metropolitan area considering the disparities in education and infrastructure [14, 15]. Our study reveals the differences in some aspects of care given to patients with HGG in BAMA. One of the major factors in progression-free survival is maximal safe resection. Approximately half of the patients (both with private and public health insurance) in our study received maximal safe resection, and as was expected had a better PFS. On the other hand, a minority of patients (n = 10) received a biopsy as their only surgical intervention, and their prognosis was considerably worse than that of all other patients. It is not unusual to see patients from the BAMA for a consultation who only received a diagnostic biopsy for HGG. It is already known that incomplete resection might be more beneficial than a simple biopsy, especially to avoid intracranial hypertension symptoms [16].
We used the number of consultations with a specialist before surgery as a variable because not many centers in the Buenos Aires metropolitan area are able to completely diagnose and treat patients with HGG. Typically, patients from the public sector consult in their local area hospital after their first symptom, and often must be referred to another center for an MRI or to receive an evaluation from a surgeon. Therefore surgical resection hardly ever takes place before 3 weeks from the appearance of symptoms. Setting up an appointment with an oncologist could take another 3 weeks. The situation is completely different for patients from the private sector, who are typically diagnosed and operated on at the same center within the first week after symptom onset. In spite of receiving surgery more quickly, these patients nonetheless find it hard to achieve the 6-week benchmark for chemoradiation post-surgery. We did not find any correlation between the number of consultations and PFS in our patients. However, this is clearly a factor that could be improved to enhance treatment efficiency.
Time to chemoradiation was similar for both public and private patients from almost all districts. We believe that this can be explained by two major reasons. First, patients from the private sector are commonly referred to an oncologist after their surgical scar is completely healed. This takes around twenty days, after which the specialist involved begins planning radiotherapy treatment, making it difficult to achieve the six-week or less benchmark despite undergoing surgery shortly after symptom onset. All patients from the public sector who started early chemoradiation treatment were those attended in our center or referred to us after surgery, and who were previously discussed in our tumor board. This could only happen after the establishment of referral networks among hospitals so that low-income patients can also access the standard of care. Due to the lack of previous statistics, we can only guess how the treatment of these patients has improved. But it should be noted that none of the patients included in this study who came from the public sector and were treated in other institutions started chemoradiation before 8 weeks. For this group, their biggest challenge was to find an oncologist with experience in treating gliomas.
Secondly, there is a serious lack of centers capable of completely diagnosing gliomas in BAMA. Molecular diagnosis, including IDH1-2 mutations (among others), is only available in academic centers and is usually limited by cost. Due to this many patients experience delays in beginning their chemoradiation treatment. Patients from every district and socioeconomic level were affected, making the histological diagnosis another aspect that if sped up will improve the overall performance of the healthcare system.
Due to the frequency and aggressiveness of these tumors, HGG must be one of the main diagnoses when facing a patient with a primary brain lesion. Thus it is imperative to act fast and contact the entire specialist team. Delaying treatment to wait for the molecular analysis (for instance IDH1-2 mutations results) could be detrimental for the patient, especially when the prognostic role of IDH1-2 status in HGG is debated, as described in recent studies which propose CDKN2A/B for anaplastic astrocytoma [17–19].
We recognize the limitations of our work due to its retrospective nature and small sample size. Another limitation is our lack of molecular diagnoses for HGG, especially MGMT methylation. The exclusion of patients with a methylated test attempted to avoid this source of bias as they were all diagnosed and treated at the same private institution. The clinical features that we found to statistically correlate with patient PFS have been widely described in previous studies [20, 21] with similar results. Choosing PFS instead of other parameters such as overall survival was due to a lack in follow up data for patients not treated in our center. Also, given the study design, we only found a significantly lower PFS in the >8-week group, as was already known. However, we believe that the real value of our work lies in identifying the first obstacles to be solved in order to improve access to healthcare.
We will continue to recommend the development of easy ways to refer HGG patients in the Buenos Aires Metropolitan Area. At the same time, we strongly recommend an interdisciplinary approach even prior to histological diagnosis, with the aim of delivering the best treatment to our patients and reducing socioeconomic gaps and excessive bureaucracy.
Conclusions
Finally, we conclude that biopsy as the only surgical procedure and chemoradiation later than 8 weeks after surgery were two negative factors for HGG in our population. These negative factors were both previously described. Many failings lead to delays in chemoradiation treatment in both the public and private sectors, and a lack of communication between multidisciplinary teams seems to be the major issue.
Acknowledgments
We would like to thank Elijah D. Lowenstein for critically reading the manuscript. Also, thanks to Ana Eijan, Denise Belgorsky, Marcela Villaverde and Elsa Hincapié from the Roffo Institute Research Department, and Mauricio Paez and Mayra Aldecoa for collecting and evaluating patients at the Neurology Department of Ramos Mejía Hospital.
Citation: Prost DM, Merenzon MA, Gómez-Escalante JI, Primavera A, Vargas Benítez M, Gil AS, et al. (2021) Effects of time to chemoradiation on high-grade gliomas from the Buenos Aires Metropolitan Area. PLoS ONE 16(4): e0249486. https://doi.org/10.1371/journal.pone.0249486
1. Ostrom QT, Gittleman H, Liao P, Vecchione-koval T, Wolinsky Y, Kruchko C, et al. Neuro-Oncology CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United. 2018;19(January):1–88.
2. Stupp R.,; Mason WP, van den Bent MJ, et al. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma. N Engl J Med. 2005;987–96. pmid:15758009
3. Chang S, Zhang P, Cairncross JG, Gilbert MR, Bahary J, Dolinskas CA, et al. versus radiation and nitrosourea therapy for anaplastic astrocytoma: results of NRG Oncology RTOG 9813. Neuro Oncol. 2016;(Xx):1–7.
4. Weller M, Cloughesy T, Perry JR, Wick W. Standards of care for treatment of recurrent. 2013;15(1):4–27.
5. Nam JY, Groot JF De. Treatment of Glioblastoma. J Oncol Pr. 2018;13(10):629–39.
6. Sulman EP, Armstrong TS, Tsien C, Batchelor TT, Cloughesy T, Galanis E, et al. Radiation Therapy for Glioblastoma: American Society of Clinical Oncology Clinical Practice Guideline Endorsement of the American Society for Radiation Oncology Guideline. J Clin Oncol. 2016;20(35 (3)):361–9.
7. Warren KT, Liu L, Liu Y, Milano MT, Walter KA. The Impact of Timing of Concurrent Chemoradiation in Patients With High-Grade Glioma in the Era of the Stupp Protocol. Front Oncol. 2019;9(March):1–9. pmid:30972296
8. Iriart C, Waitzkin H. Report from Argentina ARGENTINA: NO LESSON LEARNED. 2006;36(1):177–96.
9. Reproducci PLA, Menci PCON Fuente DELA. Instituto Nacional de Estadística y Censos Estimaciones y proyecciones de población 2010–2040.: total del país. - 1a ed.–Ciudad Autónoma de Buenos Aires: Instituto Nacional de Estadística y Censos—INDEC, 2013. [Internet]. 2013. Available from: https://www.indec.gob.ar/ftp/cuadros/publicaciones/proyeccionesyestimaciones_nac_2010_2040.pdf
10. Rubinstein A, Zerbino MC, Cejas C, López A, Rubinstein A, Zerbino MC, et al. A Blueprint for Reform Making Universal Health Care Effective in Argentina: A Blueprint for Reform. Heal Syst Reform [Internet]. 2018;4(3):203–13. Available from: pmid:30067439
11. Rabadán AT, Hernandez D, Vazquez N, Torino R, Marcelo B V, Merida CA, et al. Assessment of accessibility to the diagnosis and treatment of brain tumors in Argentina: Preliminary results. Surg Neurol Int. 2017;13(8):1417–. pmid:28680737
12. Wen PY, Chang SM, Bent MJ Van Den, Vogelbaum MA, Macdonald DR, Lee EQ. Response Assessment in Neuro-Oncology Clinical Trials. 2017;
13. Argentina PL de la R. Derechos del Paciente en su Relación con los Profesionales e Instituciones de la Salud. Ley 26.529. Sanción: 21/10/2009; Promulgación de Hecho: 19/11/2009; Boletín Oficial 20/11/2009. 2009.
14. Machado CV. Health Policies in Argentina, Brazil and Mexico: different paths, many challenges: 2197–212.
15. Pontes Luciola; Shafaee Maryam Nemati; Haaland Bejamin; Lopes G. Surgery for CNS Tumors in the Brazilian National Health Care System. J Glob Oncol. 2020;3(2):157–61.
16. Berger SLHMS. Maximizing safe resection of low- and high-grade glioma. J Neurooncol. 2016; pmid:27174197
17. Brat DJ, Aldape K, Colman H, Holland EC, Louis DN, Jenkins RB. cIMPACT ‑ NOW update 3: recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH ‑ wildtype, with molecular features of glioblastoma, WHO grade IV.” Acta Neuropathol [Internet]. 2018;(0123456789). Available from: https://doi.org/10.1007/s00401-018-1913-0
18. Brat DJ, Aldape K, Colman H, Figrarella D, Gregory B, Giannini C, et al. cIMPACT ‑ NOW update 5: recommended grading criteria and terminologies for IDH ‑ mutant astrocytomas. Acta Neuropathol [Internet]. 2020;(0123456789). Available from: pmid:31996992
19. On High-Risk, Low-Grade Glioma: What Distinguishes High From Low? 2019;174–6. pmid:30512190
20. Irwin C, Hunn M, Purdie G HD. Delay in radiotherapy shortens survival in patients with high grade glioma. J Neurooncol. 2007;DEC(85 (3)):339–43. pmid:17579810
21. D’Amico RS, Englander ZK, Canoll P BJ. Extent of Resection in Glioma-A Review of the Cutting Edge. World Neurosurg. 2017;jul(103):538–49. pmid:28427971
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