Onkologie up2date 2020; 2(02): 139-152
DOI: 10.1055/a-1124-9510
Psychoonkologie und Pflege
Georg Thieme Verlag KG Stuttgart · New York

Onkologische Systemtherapie bei Palliativpatienten: Beendigung oder Fortführung?

When to Stop Oncological Treatment in Palliative Patients – an Increasing Challenge in Times of Immunooncology
Jorge Riera Knorrenschild
Weitere Informationen

Publikationsverlauf

Publikationsdatum:
20. Mai 2020 (online)

Zusammenfassung

Fortschritte in der onkologischen Therapie von nicht heilbaren Tumorpatienten machen die Einschätzung einer korrekten Prognose schwieriger. Mittels molekularer Marker unterteilen sich die diversen Tumorerkrankungen in immer kleinere Subgruppen mit unterschiedlichen Prognosen. Eine Vorstellung im interdisziplinären Tumorboard sollte Standard sein. Um übersteigerte und unrealistische Erwartungen am Lebensende zu minimieren, bedarf es optimaler Aufklärung und der Integration einer frühen palliativen Betreuung in den weiteren Behandlungsverlauf.

Abstract

One third of oncological treatment costs per patient is allocated to the last phase of life. In the era of molecular oncology and immuno-oncology, patients benefit from new treatment options inducing durable and long-lasting responses. However, it becomes more difficult to estimate the prognosis of oncology patients. The treatment indication is based on the evidence from randomized controlled studies. In contrast, the decision, when to stop treatment at the end of life and provide best supportive care, is an emerging and challenging situation in routine clinical care of oncologists and palliative care teams. Up to 50% of oncology patients receive chemotherapy within the last 4 weeks before death, thus it becomes evident to stop futile treatment. Reliable biomarkers to predict the response of immunotherapy are lacking for most of solid tumors. Several palliative prognostic scores have been validated to calculate the probability of survival in the next 30 – 60 days. Unfortunately, there is no consensus on which score should be preferred and none was validated in period of immuno-oncology. The estimation of expectation of life by an interdisciplinary medical team is recommended by the German guideline of palliative medicine. Of note, treating physicians often overestimate the prognosis of patients, and shared decision making whether to start, to continue or to stop therapy for the individual patient remains difficult. Early integration of palliative medicine and advance care planning focus on the patientʼs medical perspective. Clinical trials investigating the integration of oncology and palliative care point to health gains: improved survival and symptom control, less anxiety and depression, reduced use of futile chemotherapy at the end of life, improved family satisfaction and quality of life, and improved use of health-care resources. Changes at the system level are necessary for implementation of advance care planning to improve the quality of the end of life of oncology patients.

Kernaussagen
  • In den letzten Lebenswochen sollte wünschenswertweise keine onkologische Systemtherapie durchgeführt werden.

  • Mittels molekularer Marker unterteilen sich die diversen Tumorerkrankungen in immer kleinere Subgruppen mit unterschiedlichen Prognosen und Therapie-Ansprechwahrscheinlichkeiten.

  • In Zeiten der Immunonkologie ist es deutlich schwieriger geworden, die Prognose palliativ-onkologischer Patienten einzuschätzen, da es keine Biomarker gibt, die zuverlässig ein Ansprechen einer solchen Therapie vorhersagen können.

  • Im Unterschied zur Chemotherapie profitiert ein kleiner Teil der Patienten von einer Immuntherapie auch in der fortgeschrittenen Krankheitssituation dauerhaft, teilweise über Jahre.

  • Immuntherapie wird auch bei schlechterem Allgemeinzustand oft besser vertragen als vergleichbare Chemotherapie.

  • Palliative Prognose-Scores sind nicht auf die Immuntherapie ausgerichtet.

  • Es bedarf der frühzeitigen Integration von Palliativmedizin und Advance Care Planning, um die angebotene Therapie mit den Lebenszielen unserer Patienten zu harmonisieren und den Prozess der Entscheidungsfindung im weiteren Verlauf zu begleiten.

  • Die Entscheidung, bis zu welchem Zeitpunkt eine onkologische Therapie begonnen oder abgebrochen wird, kann nur individuell mit dem Patienten und dessen Angehörige getroffen werden. Hilfreich ist hier die Einschätzung des Behandlerteams und die Vorstellung in Tumorboards.

 
  • Literatur

  • 1 Emanuel EJ, Young-Xu Y, Levinsky NG. et al. Chemotherapy use among Medicare beneficiaries at the end of life. Ann Intern Med 2003; 138: 639-643
  • 2 Braga S. Why do our patients get chemotherapy until the end of life?. Ann Oncol 2011; 22: 2345-2348
  • 3 Temel JS, Greer JA, Muzikansky A. et al. Early palliative care for patients with metastatic non-small-cell lung cancer. N Engl J Med 2010; 363: 733-742
  • 4 Jordhøy MS, Fayers P, Loge JH. et al. Quality of life in palliative cancer care: results from a cluster randomized trial. J Clin Oncol 2001; 19: 3884-3894
  • 5 Zimmermann C, Swami N, Krzyzanowska M. et al. Early palliative care for patients with advanced cancer: a cluster-randomised controlled trial. Lancet 2014; 383: 1721-1730
  • 6 Mariotto AB, Yabroff KR, Shao Y. et al. Projections of the cost of cancer care in the United States: 2010–2020. J Natl Cancer Inst 2011; 103: 117-128
  • 7 May P, Garrido MM, Cassel JB. et al. Palliative care teamsʼ cost-saving effect is larger for cancer patients with higher numbers of comorbidities. Health Aff 2016; 35: 44-53
  • 8 Ferrell BR, Temel JS, Temin S. et al. Integration of palliative care into standard oncology care: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol 2017; 35: 96-112
  • 9 Hui D, Parsons HA, Damani S. et al. Quantity, design, and scope of the palliative oncology literature. Oncologist 2011; 16: 694-703
  • 10 Kaasa S, Radbruch L. Palliative care research–priorities and the way forward. Eur J Cancer 2008; 44: 1175-1179
  • 11 Usborne CM, Mullard AP. A review of systemic anticancer therapy in disease palliation. Br Med Bull 2018; 125: 43-53
  • 12 Heikkilä R, Kaasa S. Chemotherapy in end-of-life care. Ann Oncol 2017; 28: 684-685
  • 13 Weeks JC, Catalano P, Cronin A. et al. Patientsʼ expectations about effects of chemotherapy for advanced cancer. N Engl J Med 2012; 367: 1616-1625
  • 14 Villalobas M, Siegle A, Hagelskamp L. et al. Communication along Milestones in Lung Cancer Patients with Advanced Disease. Oncol Res Treat 2019; 42: 41-46
  • 15 Hui D, dos Santos R, Chisholm G. et al. Clinical signs of impending death in cancer patients. Oncologist 2014; 19: 681-687
  • 16 Glare P, Virik K, Jones M. et al. A systematic review of physiciansʼ survival predictions in terminally ill cancer patients. BMJ 2003; 327: 195-198
  • 17 White N, Stone P. Clinical predictions of survival–A systematic review of accuracy, expertise and heuristics. 14th World Congress of the European Association for Palliative Care; Copenhagen; May 8 – 10, 2015. 1-484
  • 18 Maltoni M, Caraceni A, Brunelli C. et al. Prognostic factors in advanced cancer patients: evidence-based clinical recommendations–a study by the Steering Committee of the European Association for Palliative Care. J Clin Oncol 2005; 23: 6240-6248
  • 19 White N, Kupeli N, Vickerstaff V. et al. How accurate is the ‘Surprise Question’ at identifying patients at the end of life? A systematic review and meta-analysis. BMC Med 2017; 15: 139
  • 20 Simmons CPL, McMillan DC, McWilliams K. et al. Prognostic tools in patients with advanced cancer: a systematic review. J Pain Symptom Manage 2017; 53: 962-970.e10
  • 21 Uneno Y, Taneishi K, Kanai M. et al. Development and validation of a set of six adaptable prognosis prediction (SAP) models based on time-series real-world big data analysis for patients with cancer receiving chemotherapy: a multicenter case crossover study. PLoS One 2017; 12: e0183291
  • 22 Lund S, Stone P. Predicting survival in advanced cancer patients. Eur J Palliat Care 2013; 20: 58-61
  • 23 Pirovano M, Maltoni M, Nanni O. et al. A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. J Pain Symptom Manage 1999; 17: 231-239
  • 24 Maltoni M, Nanni O, Pirovano M. et al. Successful validation of the palliative prognostic score in terminally ill cancer patients. J Pain Symptom Manage 1999; 17: 240-247
  • 25 Karnofsky D, Burchenal J. The clinical Evaluation of chemotherapeutic Agents in Cancer. In: MacLeod CM. ed. Evaluation of chemotherapeutic Agents. New York: Columbia University Press; 1949: 196
  • 26 Scarpi E, Maltoni M, Miceli R. et al. Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium. Oncologist 2011; 16: 1793-1799
  • 27 Anderson F, Downing GM, Hill J. et al. Palliative performance scale (PPS): a new tool. J Palliat Care 1996; 12: 5-11
  • 28 Hui D, Park M, Liu D. et al. Clinician prediction of survival versus the Palliative Prognostic Score: which approach is more accurate?. Eur J Cancer 2016; 64: 89-95
  • 29 Lau F, Downing M, Lesperance M. et al. Using the Palliative Performance Scale to provide meaningful survival estimates. J Pain Symptom Manage 2009; 38: 134-144
  • 30 Olajide O, Hanson L, Usher BM. et al. Validation of the palliative performance scale in the acute tertiary care hospital setting. J Palliat Med 2007; 10: 111-117
  • 31 Morita T, Tsunoda J, Inoue S. et al. The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer 1999; 7: 128-133
  • 32 Stone CA, Tiernan E, Dooley BA. Prospective validation of the palliative prognostic index in patients with cancer. J Pain Symptom Manage 2008; 35: 617-622
  • 33 Subramaniam S, Thorns A, Ridout M. et al. Accuracy of prognosis prediction by PPI in hospice inpatients with cancer: a multi-centre prospective study. BMJ Support Palliat Care 2015; 5: 399-404
  • 34 Subramaniam S, Dand P, Ridout M. et al. Prognosis prediction with two calculations of Palliative Prognostic Index: further prospective validation in hospice cancer patients with multicentre study. BMJ Support Palliat Care 2018; DOI: 10.1136/bmjspcare-2017-001418.
  • 35 Farinholt P, Park M, Guo Y. et al. A comparison of the accuracy of clinician prediction of survival versus the Palliative Prognostic Index. J Pain Symptom Manage 2018; 55: 792-797
  • 36 Forrest LM, McMillan DC, McArdle CS. et al. Evaluation of cumulative prognostic scores based on the systemic inflammatory response in patients with inoperable non-small-cell lung cancer. Br J Cancer 2003; 89: 1028-1030
  • 37 Forrest LM, McMillan DC, McArdle CS. et al. Comparison of an inflammation-based prognostic score (GPS) with performance status (ECOG) in patients receiving platinum-based chemotherapy for inoperable non-small-cell lung cancer. Br J Cancer 2004; 90: 1704-1706
  • 38 McMillan DC, Crozier JEM, Canna K. et al. Evaluation of an inflammation-based prognostic score (GPS) in patients undergoing resection for colon and rectal cancer. Int J Colorectal Dis 2007; 22: 881-886
  • 39 McMillan DC. The systemic inflammation-based Glasgow Prognostic Score: a decade of experience in patients with cancer. Cancer Treat Rev 2013; 39: 534-540
  • 40 Douglas E, McMillan DC. Towards a simple objective framework for the investigation and treatment of cancer cachexia: the Glasgow Prognostic Score. Cancer Treat Rev 2014; 40: 685-691
  • 41 Feliu J, Jiménez-Gordo AM, Madero R. et al. Development and validation of a prognostic nomogram for terminally ill cancer patients. J Natl Cancer Inst 2011; 103: 1613-1620
  • 42 Gwilliam B, Keeley V, Todd C. et al. Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study. BMJ 2011; 343: d4920
  • 43 Kim ES, Lee JK, Kim MH. et al. Validation of the prognosis in palliative care study predictor models in terminal cancer patients. Korean J Fam Med 2014; 35: 283-294
  • 44 Baba M, Maeda I, Morita T. et al. Survival prediction for advanced cancer patients in the real world: A comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model. Eur J Cancer 2015; 51: 1618-1629
  • 45 Kim AS, Youn CH, Ko HJ. et al. The survival time of terminal cancer patients: prediction based on clinical parameters and simple prognostic scores. J Palliat Care 2014; 30: 24-31
  • 46 Maltoni M, Scarpi E, Pittureri C. et al. Prospective comparison of prognostic scores in palliative care cancer populations. Oncologist 2012; 17: 446-454
  • 47 Tarumi Y, Watanabe SM, Lau F. et al. Evaluation of the Palliative Prognostic Score (PaP) and routinely collected clinical data in prognostication of survival for patients referred to a palliative care consultation service in an acute care hospital. J Pain Symptom Manage 2011; 42: 419-431
  • 48 Chou WC, Kao CY, Wang PN. et al. The application of the Palliative Prognostic Index, charlson comorbidity index, and Glasgow Prognostic Score in predicting the life expectancy of patients with hematologic malignancies under palliative care. BMC Palliat Care 2015; 14: 18
  • 49 Bausewein C, Voltz R, Radbruch L, Simon S. Hrsg. S3-Leitlinie Palliativmedizin für Patienten mit einer nicht heilbaren Krebserkrankung Mai 2015. AWMF-Registernummer: 128/001OL. Im Internet: https://www.dgpalliativmedizin.de/images/stories/LL_Palliativmedizin_Langversion_1_1.pdf Stand: 03.12.2019
  • 50 Domeisen Benedetti F, Ostgathe C, Clark J. et al. International palliative care expertsʼ view on phenomena indicating the last hours and days of life. Support Care Cancer 2013; 21: 1509-1517
  • 51 Eychmüller S, Domeisen Benedetti F, Latten R. et al. “Diagnosing dying” in cancer patients – a systematic literature review. Eur J Palliative Care 2013; 20: 292-296
  • 52 Prigerson HG, Bao J, Shah MA. et al. Chemotherapy Use, Performance Status, and Quality of Life at the End of Life. JAMA Oncol 2015; 1: 778-784
  • 53 Alexi A, Zhang B, Keating N. et al. Associations between palliative chemotherapy and adult cancer patientsʼ end of life care and place of death: prospective cohort study. BMJ 2014; 348: g1219