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Published in: BMC Cancer 1/2023

Open Access 01-12-2023 | Targeted Therapy | Study Protocol

ProTarget: a Danish Nationwide Clinical Trial on Targeted Cancer Treatment based on genomic profiling – a national, phase 2, prospective, multi-drug, non-randomized, open-label basket trial

Authors: Tina Kringelbach, Martin Højgaard, Kristoffer Rohrberg, Iben Spanggaard, Britt Elmedal Laursen, Morten Ladekarl, Charlotte Aaquist Haslund, Laurine Harsløf, Laila Belcaid, Julie Gehl, Lise Søndergaard, Rikke Løvendahl Eefsen, Karin Holmskov Hansen, Annette Raskov Kodahl, Lars Henrik Jensen, Marianne Ingerslev Holt, Trine Heide Oellegaard, Christina Westmose Yde, Lise Barlebo Ahlborn, Ulrik Lassen

Published in: BMC Cancer | Issue 1/2023

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Abstract

Background

An increasing number of trials indicate that treatment outcomes in cancer patients with metastatic disease are improved when targeted treatments are matched with druggable genomic alterations in individual patients (pts). An estimated 30–80% of advanced solid tumors harbor actionable genomic alterations. However, the efficacy of personalized cancer treatment is still scarcely investigated in larger, controlled trials due to the low frequency and heterogenous distribution of druggable alterations among different histologic tumor types. Therefore, the overall effect of targeted cancer treatment on clinical outcomes still needs investigation.

Study design/methods

ProTarget is a national, non-randomized, multi-drug, open-label, pan-cancer phase 2 trial aiming to investigate the anti-tumor activity and toxicity of currently 13 commercially available, EMA-approved targeted therapies outside the labeled indication for treatment of advanced malignant diseases, harboring specific actionable genomic alterations. The trial involves the Danish National Molecular Tumor Board for confirmation of drug-variant matches. Key inclusion criteria include a) measurable disease (RECIST v.1.1), b) ECOG performance status 0–2, and c) an actionable genomic alteration matching one of the study drugs. Key exclusion criteria include a) cancer type within the EMA-approved label of the selected drug, and b) genomic alterations known to confer drug resistance. Initial drug dose, schedule and dose modifications are according to the EMA-approved label. The primary endpoint is objective response or stable disease at 16 weeks. Pts are assigned to cohorts defined by the selected drug, genomic alteration, and tumor histology type. Cohorts are monitored according to a Simon’s two-stage-based design. Response is assessed every 8 weeks for the first 24 weeks, then every 12 weeks. The trial is designed similar to the Dutch DRUP and the ASCO TAPUR trials and is a partner in the Nordic Precision Cancer Medicine Trial Network. In ProTarget, serial fresh tumor and liquid biopsies are mandatory and collected for extensive translational research including whole genome sequencing, array analysis, and RNA sequencing.

Discussion

The ProTarget trial will identify new predictive biomarkers for targeted treatments and provide new data and essential insights in molecular pathways involved in e.g., resistance mechanisms and thereby potentially evolve and expand the personalized cancer treatment strategy.
Protocol version: 16, 09-MAY-2022.

Trial registration

ClinicalTrials.gov Identifier: NCT04341181.
Secondary Identifying No: ML41742.
EudraCT No: 2019–004771-40.
Literature
1.
go back to reference Kris MG, Johnson BE, Berry LD, Kwiatkowski DJ, Iafrate AJ, Wistuba II, et al. Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. JAMA. 2014;311(19):1998–2006.CrossRefPubMedPubMedCentral Kris MG, Johnson BE, Berry LD, Kwiatkowski DJ, Iafrate AJ, Wistuba II, et al. Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. JAMA. 2014;311(19):1998–2006.CrossRefPubMedPubMedCentral
2.
go back to reference Wagle N, Grabiner BC, Van Allen EM, Hodis E, Jacobus S, Supko JG, et al. Activating mTOR mutations in a patient with an extraordinary response on a phase I trial of everolimus and pazopanib. Cancer Discov. 2014 May;4(5):546–53.CrossRefPubMedPubMedCentral Wagle N, Grabiner BC, Van Allen EM, Hodis E, Jacobus S, Supko JG, et al. Activating mTOR mutations in a patient with an extraordinary response on a phase I trial of everolimus and pazopanib. Cancer Discov. 2014 May;4(5):546–53.CrossRefPubMedPubMedCentral
3.
go back to reference Peters S, Michielin O, Zimmermann S. Dramatic response induced by vemurafenib in a BRAF V600E-mutated lung adenocarcinoma. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(20):e341–4.CrossRef Peters S, Michielin O, Zimmermann S. Dramatic response induced by vemurafenib in a BRAF V600E-mutated lung adenocarcinoma. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(20):e341–4.CrossRef
4.
go back to reference Munoz J, Schlette E, Kurzrock R. Rapid response to vemurafenib in a heavily pretreated patient with hairy cell leukemia and a BRAF mutation. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(20):e351–2.CrossRef Munoz J, Schlette E, Kurzrock R. Rapid response to vemurafenib in a heavily pretreated patient with hairy cell leukemia and a BRAF mutation. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(20):e351–2.CrossRef
5.
go back to reference Iyer G, Al-Ahmadie H, Schultz N, Hanrahan AJ, Ostrovnaya I, Balar AV, et al. Prevalence and co-occurrence of actionable genomic alterations in high-grade bladder cancer. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(25):3133–40.CrossRef Iyer G, Al-Ahmadie H, Schultz N, Hanrahan AJ, Ostrovnaya I, Balar AV, et al. Prevalence and co-occurrence of actionable genomic alterations in high-grade bladder cancer. J Clin Oncol Off J Am Soc Clin Oncol. 2013;31(25):3133–40.CrossRef
6.
go back to reference Cobain EF, Robinson DR, Wu Y-M, Worden FP, Smith DC, Schuetze S, et al. Clinical impact of high-throughput sequencing in patients with advanced cancer: lessons learned from the Michigan oncology sequencing center. J Clin Oncol. 2015;33(15_suppl):11057.CrossRef Cobain EF, Robinson DR, Wu Y-M, Worden FP, Smith DC, Schuetze S, et al. Clinical impact of high-throughput sequencing in patients with advanced cancer: lessons learned from the Michigan oncology sequencing center. J Clin Oncol. 2015;33(15_suppl):11057.CrossRef
7.
go back to reference Tsimberidou AM, Iskander NG, Hong DS, Wheler JJ, Falchook GS, Fu S, et al. Personalized medicine in a phase I clinical trials program: the MD Anderson Cancer Center initiative. Clin Cancer Res. 2012;18(22):6373–83.CrossRefPubMedPubMedCentral Tsimberidou AM, Iskander NG, Hong DS, Wheler JJ, Falchook GS, Fu S, et al. Personalized medicine in a phase I clinical trials program: the MD Anderson Cancer Center initiative. Clin Cancer Res. 2012;18(22):6373–83.CrossRefPubMedPubMedCentral
8.
go back to reference Macconaill LE, Garcia E, Shivdasani P, Ducar M, Adusumilli R, Breneiser M, et al. Prospective enterprise-level molecular genotyping of a cohort of cancer patients. J Mol Diagnostics. 2014;16(6):660–72.CrossRef Macconaill LE, Garcia E, Shivdasani P, Ducar M, Adusumilli R, Breneiser M, et al. Prospective enterprise-level molecular genotyping of a cohort of cancer patients. J Mol Diagnostics. 2014;16(6):660–72.CrossRef
9.
go back to reference Tsimberidou A-M, Wen S, Hong DS, Wheler JJ, Falchook GS, Fu S, et al. Personalized medicine for patients with advanced cancer in the phase I program at MD Anderson: validation and landmark analyses. Clin Cancer Res an Off J Am Assoc Cancer Res. 2014;20(18):4827–36.CrossRef Tsimberidou A-M, Wen S, Hong DS, Wheler JJ, Falchook GS, Fu S, et al. Personalized medicine for patients with advanced cancer in the phase I program at MD Anderson: validation and landmark analyses. Clin Cancer Res an Off J Am Assoc Cancer Res. 2014;20(18):4827–36.CrossRef
10.
go back to reference Le Tourneau C, Delord JP, Gonçalves A, Gavoille C, Dubot C, Isambert N, et al. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial. Lancet Oncol. 2015;16(13):1324–34.CrossRefPubMed Le Tourneau C, Delord JP, Gonçalves A, Gavoille C, Dubot C, Isambert N, et al. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial. Lancet Oncol. 2015;16(13):1324–34.CrossRefPubMed
11.
go back to reference Schwaederle M, Zhao M, Lee JJ, Eggermont AM, Schilsky RL, Mendelsohn J, et al. Impact of precision medicine in diverse cancers: a meta-analysis of phase II clinical trials. J Clin Oncol. 2015;33(32):3817–25. Schwaederle M, Zhao M, Lee JJ, Eggermont AM, Schilsky RL, Mendelsohn J, et al. Impact of precision medicine in diverse cancers: a meta-analysis of phase II clinical trials. J Clin Oncol. 2015;33(32):3817–25.
12.
go back to reference Massard C, Michiels S, Ferté C, Le Deley MC, Lacroix L, Hollebecque A, et al. High-throughput genomics and clinical outcome in hard-to-treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov. 2017;7(6):586–95.CrossRefPubMed Massard C, Michiels S, Ferté C, Le Deley MC, Lacroix L, Hollebecque A, et al. High-throughput genomics and clinical outcome in hard-to-treat advanced cancers: results of the MOSCATO 01 trial. Cancer Discov. 2017;7(6):586–95.CrossRefPubMed
13.
go back to reference Tuxen IV, Rohrberg KS, Oestrup O, Ahlborn LB, Schmidt AY, Spanggaard I, et al. Copenhagen prospective personalized oncology (COPPO)—clinical utility of using molecular profiling to select patients to phase I trials. Clin Cancer Res. 2019;25(4):1239–47.CrossRefPubMed Tuxen IV, Rohrberg KS, Oestrup O, Ahlborn LB, Schmidt AY, Spanggaard I, et al. Copenhagen prospective personalized oncology (COPPO)—clinical utility of using molecular profiling to select patients to phase I trials. Clin Cancer Res. 2019;25(4):1239–47.CrossRefPubMed
14.
go back to reference Tamborero D, Dienstmann R, Rachid MH, Boekel J, Baird R, Braña I, et al. Support systems to guide clinical decision-making in precision oncology: the Cancer Core Europe molecular tumor board portal. Nat Med. 2020;26:992–4. Tamborero D, Dienstmann R, Rachid MH, Boekel J, Baird R, Braña I, et al. Support systems to guide clinical decision-making in precision oncology: the Cancer Core Europe molecular tumor board portal. Nat Med. 2020;26:992–4.
15.
go back to reference Mangat PK, Halabi S, Bruinooge SS, Garrett-Mayer E, Alva A, Janeway KA, et al. Rationale and Design of the Targeted Agent and Profiling Utilization Registry Study. JCO Precis Oncol. 2018;2:1–14. Mangat PK, Halabi S, Bruinooge SS, Garrett-Mayer E, Alva A, Janeway KA, et al. Rationale and Design of the Targeted Agent and Profiling Utilization Registry Study. JCO Precis Oncol. 2018;2:1–14.
16.
go back to reference Voest EE, van der Velden DL, Hoes L, Van Der Wijngaart H, Van Berge HM, Van Werkhoven E, et al. Drug rediscovery protocol: expanded use of existing anticancer drugs. Ann Oncol. 2019;30:v864–5.CrossRef Voest EE, van der Velden DL, Hoes L, Van Der Wijngaart H, Van Berge HM, Van Werkhoven E, et al. Drug rediscovery protocol: expanded use of existing anticancer drugs. Ann Oncol. 2019;30:v864–5.CrossRef
17.
go back to reference Skamene T, Siu LL, Renouf DJ, Laskin JJ, Bedard PL, Jones SJM, et al. Canadian profiling and targeted agent utilization trial (CAPTUR/PM.1): a phase II basket precision medicine trial. J Clin Oncol. 2018;36(15_suppl). Skamene T, Siu LL, Renouf DJ, Laskin JJ, Bedard PL, Jones SJM, et al. Canadian profiling and targeted agent utilization trial (CAPTUR/PM.1): a phase II basket precision medicine trial. J Clin Oncol. 2018;36(15_suppl).
18.
go back to reference Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7.CrossRefPubMedPubMedCentral Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7.CrossRefPubMedPubMedCentral
19.
go back to reference Meric-Bernstam F, Johnson A, Holla V, Bailey AM, Brusco L, Chen K, et al. A decision support framework for genomically informed investigational cancer therapy. J Natl Cancer Inst. 2015;107(7). Meric-Bernstam F, Johnson A, Holla V, Bailey AM, Brusco L, Chen K, et al. A decision support framework for genomically informed investigational cancer therapy. J Natl Cancer Inst. 2015;107(7).
20.
go back to reference Jürgensmeier JM, Eder JP, Herbst RS. New strategies in personalized medicine for solid tumors: molecular markers and clinical trial designs. Clin Cancer Res an Off J Am Assoc Cancer Res. 2014;20(17):4425–35.CrossRef Jürgensmeier JM, Eder JP, Herbst RS. New strategies in personalized medicine for solid tumors: molecular markers and clinical trial designs. Clin Cancer Res an Off J Am Assoc Cancer Res. 2014;20(17):4425–35.CrossRef
22.
go back to reference Melinda LT, Kirsten MT, Julia R, Bryan H, Gordon BM, Kristin CJ, et al. Homologous Recombination Deficiency (HRD) Score Predicts Response to Platinum-Containing Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer. Clin Cancer Res. 2016;22(15):3764–73 Available from: https://pubmed.ncbi.nlm.nih.gov/26957554/. Cited 2022 Aug 24.CrossRef Melinda LT, Kirsten MT, Julia R, Bryan H, Gordon BM, Kristin CJ, et al. Homologous Recombination Deficiency (HRD) Score Predicts Response to Platinum-Containing Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer. Clin Cancer Res. 2016;22(15):3764–73 Available from: https://​pubmed.​ncbi.​nlm.​nih.​gov/​26957554/​. Cited 2022 Aug 24.CrossRef
25.
go back to reference Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed
27.
go back to reference Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228–47.CrossRefPubMed Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228–47.CrossRefPubMed
28.
go back to reference Rustin GJS, Vergote I, Eisenhauer E, Pujade-Lauraine E, Quinn M, Thigpen T, et al. Definitions for response and progression in ovarian cancer clinical trials incorporating recist 1.1 and CA 125 agreed by the gynecological cancer intergroup (GCIG). Int J Gynecol Cancer. 2011;21(2):419–23.CrossRefPubMed Rustin GJS, Vergote I, Eisenhauer E, Pujade-Lauraine E, Quinn M, Thigpen T, et al. Definitions for response and progression in ovarian cancer clinical trials incorporating recist 1.1 and CA 125 agreed by the gynecological cancer intergroup (GCIG). Int J Gynecol Cancer. 2011;21(2):419–23.CrossRefPubMed
29.
go back to reference Scher HI, Morris MJ, Stadler WM, Higano C, Basch E, Fizazi K, et al. Trial design and objectives for castration-resistant prostate cancer: updated recommendations from the prostate cancer clinical trials working group 3. J Clin Oncol. 2016;34(12):1402–18.CrossRefPubMedPubMedCentral Scher HI, Morris MJ, Stadler WM, Higano C, Basch E, Fizazi K, et al. Trial design and objectives for castration-resistant prostate cancer: updated recommendations from the prostate cancer clinical trials working group 3. J Clin Oncol. 2016;34(12):1402–18.CrossRefPubMedPubMedCentral
32.
go back to reference Cheson BD, Fisher RI, Barrington SF, Cavalli F, Schwartz LH, Zucca E, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol Off J Am Soc Clin Oncol. 2014;32(27):3059–68.CrossRef Cheson BD, Fisher RI, Barrington SF, Cavalli F, Schwartz LH, Zucca E, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol Off J Am Soc Clin Oncol. 2014;32(27):3059–68.CrossRef
33.
go back to reference Barrington SF, Mikhaeel NG, Kostakoglu L, Meignan M, Hutchings M, Müeller SP, et al. Role of imaging in the staging and response assessment of lymphoma: consensus of the international conference on malignant lymphomas imaging working group. J Clin Oncol Off J Am Soc Clin Oncol. 2014 Sep;32(27):3048–58.CrossRef Barrington SF, Mikhaeel NG, Kostakoglu L, Meignan M, Hutchings M, Müeller SP, et al. Role of imaging in the staging and response assessment of lymphoma: consensus of the international conference on malignant lymphomas imaging working group. J Clin Oncol Off J Am Soc Clin Oncol. 2014 Sep;32(27):3048–58.CrossRef
34.
go back to reference Durie BGM, Harousseau J-L, Miguel JS, Bladé J, Barlogie B, Anderson K, et al. International uniform response criteria for multiple myeloma. Leukemia. 2006;20(9):1467–73.CrossRefPubMed Durie BGM, Harousseau J-L, Miguel JS, Bladé J, Barlogie B, Anderson K, et al. International uniform response criteria for multiple myeloma. Leukemia. 2006;20(9):1467–73.CrossRefPubMed
36.
go back to reference Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol Off J Am Soc Clin Oncol. 2010;28(11):1963–72.CrossRef Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol Off J Am Soc Clin Oncol. 2010;28(11):1963–72.CrossRef
38.
go back to reference van der Velden DL, Hoes LR, van der Wijngaart H, van Berge Henegouwen JM, van Werkhoven E, Roepman P, et al. The drug rediscovery protocol facilitates the expanded use of existing anticancer drugs. Nature. 2019;574(7776):127–31.CrossRefPubMed van der Velden DL, Hoes LR, van der Wijngaart H, van Berge Henegouwen JM, van Werkhoven E, Roepman P, et al. The drug rediscovery protocol facilitates the expanded use of existing anticancer drugs. Nature. 2019;574(7776):127–31.CrossRefPubMed
39.
go back to reference Ahlborn LB, Tuxen IV, Mouliere F, Kinalis S, Schmidt AY, Rohrberg KS, et al. Circulating tumor DNA as a marker of treatment response in BRAF V600E mutated non-melanoma solid tumors. Oncotarget. 2018;9(66):32570–9.CrossRefPubMedPubMedCentral Ahlborn LB, Tuxen IV, Mouliere F, Kinalis S, Schmidt AY, Rohrberg KS, et al. Circulating tumor DNA as a marker of treatment response in BRAF V600E mutated non-melanoma solid tumors. Oncotarget. 2018;9(66):32570–9.CrossRefPubMedPubMedCentral
41.
go back to reference Gabrielaite M, Torp MH, Rasmussen MS, Andreu-Sánchez S, Vieira FG, Pedersen CB, et al. A Comparison of Tools for Copy-Number Variation Detection in Germline Whole Exome and Whole Genome Sequencing Data. Cancers (Basel). 202;13(24) Available from: https://pubmed.ncbi.nlm.nih.gov/34944901/. Cited 2022 May 22. Gabrielaite M, Torp MH, Rasmussen MS, Andreu-Sánchez S, Vieira FG, Pedersen CB, et al. A Comparison of Tools for Copy-Number Variation Detection in Germline Whole Exome and Whole Genome Sequencing Data. Cancers (Basel). 202;13(24) Available from: https://​pubmed.​ncbi.​nlm.​nih.​gov/​34944901/​. Cited 2022 May 22.
42.
go back to reference Cherny NI, Dafni U, Bogaerts J, Latino NJ, Pentheroudakis G, Douillard JY, et al. ESMO-magnitude of clinical benefit scale version 1.1. Ann Oncol. 2017;28(10):2340–66.CrossRefPubMed Cherny NI, Dafni U, Bogaerts J, Latino NJ, Pentheroudakis G, Douillard JY, et al. ESMO-magnitude of clinical benefit scale version 1.1. Ann Oncol. 2017;28(10):2340–66.CrossRefPubMed
46.
go back to reference Rosen E, Silverman IM, Fontana E, Lee EK, Spigel DR, Højgaard M, et al. Circulating tumor DNA (ctDNA) determinants of improved outcomes in patients (pts) with advanced solid tumors receiving the ataxia telangiectasia and Rad3-related inhibitor (ATRi), RP-3500, in the phase 1/2a TRESR trial (NCT04497116). J Clin Oncol. 2022;40(16_suppl):3082. https://doi.org/10.1200/JCO.2022.40.16_suppl.3082. Rosen E, Silverman IM, Fontana E, Lee EK, Spigel DR, Højgaard M, et al. Circulating tumor DNA (ctDNA) determinants of improved outcomes in patients (pts) with advanced solid tumors receiving the ataxia telangiectasia and Rad3-related inhibitor (ATRi), RP-3500, in the phase 1/2a TRESR trial (NCT04497116). J Clin Oncol. 2022;40(16_suppl):3082. https://​doi.​org/​10.​1200/​JCO.​2022.​40.​16_​suppl.​3082.
Metadata
Title
ProTarget: a Danish Nationwide Clinical Trial on Targeted Cancer Treatment based on genomic profiling – a national, phase 2, prospective, multi-drug, non-randomized, open-label basket trial
Authors
Tina Kringelbach
Martin Højgaard
Kristoffer Rohrberg
Iben Spanggaard
Britt Elmedal Laursen
Morten Ladekarl
Charlotte Aaquist Haslund
Laurine Harsløf
Laila Belcaid
Julie Gehl
Lise Søndergaard
Rikke Løvendahl Eefsen
Karin Holmskov Hansen
Annette Raskov Kodahl
Lars Henrik Jensen
Marianne Ingerslev Holt
Trine Heide Oellegaard
Christina Westmose Yde
Lise Barlebo Ahlborn
Ulrik Lassen
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2023
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-023-10632-9

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