Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ASCO Annual Meeting 2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

2024 ASCO Annual Meeting

Keep up to date with all the top stories and latest evidence with our hub page, including official congress videos and expert takeaways.
ADVANCED SEARCH
Log in
Top
BMC Cancer
Published in: BMC Cancer 1/2018

Open Access 01-12-2018 | Study protocol

Internet-based self-help smoking cessation and alcohol moderation interventions for cancer survivors: a study protocol of two RCTs

Authors: Ajla Mujcic, Matthijs Blankers, Brigitte Boon, Rutger Engels, Margriet van Laar

Published in: BMC Cancer | Issue 1/2018

Login to get access

Abstract

Background

Brief interventions for smoking cessation and alcohol moderation may contribute considerably to the prevention of cancer among populations at risk, such as cancer survivors, in addition to improving their general wellbeing. There is accumulating evidence for the effectiveness of internet-based brief health behaviour interventions. The objective of this study is to assess the effectiveness, patient-level cost-effectiveness and cost-utility of two new online theory-based self-help interventions among adult cancer survivors in the Netherlands. One of the interventions focuses on alcohol moderation, the other on smoking cessation. Both interventions are tailored to cancer survivors.

Methods

Effectiveness will be assessed in two separate, nearly identical 2-armed RCTs: alcohol moderation (AM RCT) and smoking cessation (SC RCT). Participants are randomly allocated to either the intervention groups or the control groups. In the intervention groups, participants have access to one of the newly developed interventions. In the control groups, participants receive an online static information brochure on alcohol (AM RCT) or smoking (SC RCT). Main study outcome parameters are the number of drinks post-randomisation (AM RCT) and tobacco abstinence (SC RCT). In addition, cost-data and possible effect moderators and mediators will be assessed. Both treatments are internet-based minimally guided self-help interventions: MyCourse – Moderate Drinking (in Dutch: MijnKoers – Minderen met Drinken) and MyCourse – Quit Smoking (MijnKoers – Stoppen met Roken). They are based on cognitive behaviour therapy (CBT), motivational interviewing (MI) and acceptance and commitment therapy (ACT). Both interventions are optimized in collaboration with the target population of cancer survivors in focus groups and interviews, and in collaboration with several experts on eHealth, smoking cessation, alcohol misuse and cancer survivorship.

Discussion

The present study will add to scientific knowledge on the (cost-)effectiveness of internet-based self-help interventions to aid in smoking cessation or alcohol moderation, working mechanisms and impact on quality of life of cancer survivors. If found effective, these interventions can contribute to providing evidence-based psychosocial oncology care to a growing population of cancer survivors.

Trial registration

Trials are prospectively registered in The Netherlands Trial Register (NTR): NTR6011 (SC RCT), NTR6010 (AM RCT) on 1 September 2016.
Literature
1.
KWF Kankerbestrijding (Dutch Cancer Society). Kanker in Nederland tot 2020 trends en prognoses. Amsterdam: KWF Kankerbestrijding; 2011.
2.
Zeng C, Wen W, Morgans AK, Pao W, Shu X-O, Zheng W. Disparities by race, age, and sex in the improvement of survival for major cancers. JAMA Oncol. 2015;1:88.CrossRefPubMedPubMedCentral
3.
4.
Demark-Wahnefried W, Morey MC, Sloane R, Snyder DC, Cohen HJ. Promoting healthy lifestyles in older Cancer survivors to improve health and preserve function. J Am Geriatr Soc. 2009;57:S262–4.CrossRefPubMedPubMedCentral
5.
Morton LM, Onel K, Curtis RE, Hungate EA, Armstrong GT. The rising incidence of second cancers: patterns of occurrence and identification of risk factors for children and adults. Am Soc Clin Oncol educ book/ASCO Am Soc Clin Oncol Meeting. 2013:e57–67.
6.
Berrington de Gonzalez A, Curtis RE, Kry SF, Gilbert E, Lamart S, Berg CD, et al. The proportion of second cancers attributable to radiotherapy treatment in adults: a prospective cohort study in the US SEER cancer registries. Lancet Oncol. 2011;12(4):353–60.CrossRefPubMed
7.
Wood M, Vogel V, Ng A, Foxhall L, Goodwin P, Travis L. Second malignant neoplasms: assessment and strategies for risk reduction. J Clin Oncol. 2012;30(30):3734–45.CrossRefPubMed
8.
9.
Curtis R. New malignancies among cancer survivors. Bethesda, Md: National Cancer Institute, U.S. Dept. of Health and Human Services, National Institutes of Health; 2006.
10.
Travis LB, Wahnefried WD, Allan JM, Wood ME, Ng AK. Aetiology, genetics and prevention of secondary neoplasms in adult cancer survivors. Nat Rev Clin Oncol. 2013;10(5):289–301.CrossRefPubMed
11.
Secretan B, Strait K, Baan R, Grosse Y, EL Ghissassi F, Bouvard V, et al. WHO International Agency for Research on Cancer monograph working group. A review of human carcinogens--part E: tobacco, areca nut, alcohol, coal smoke, and salted fish. Lancet Oncol. 2009;10(11):1033–4.CrossRefPubMed
12.
Duffy SA, Ronis DL, Valenstein M, Lambert MT, Fowler KE, Gregory L, et al. A tailored smoking, alcohol, and depression intervention for head and neck cancer patients. Cancer Epidemiol Biomarkers Prev. 2006;15(11):2203–8.CrossRefPubMed
13.
Sharp L, Mcdevitt J, Brown C, Comber H. Smoking at diagnosis significantly decreases 5-year cancer-specific survival in a population-based cohort of 18 166 colon cancer patients. Aliment Pharmacol Ther. 2017;45(6):788–800.CrossRefPubMed
14.
World Cancer Research Fund / American Institute for Cancer Research. Food, nutrition, physical activity and the prevention of cancer: a global perspective. Washington DC: AICR; 2007.
15.
Westmaas JL, Alcaraz KI, Berg CJ, Stein KD. Prevalence and correlates of smoking and cessation-related behavior among survivors of ten cancers: findings from a Nationwide survey nine years after diagnosis. Cancer Epidemiol Biomarkers Prev. 2014;23(9):1783–92.CrossRefPubMed
16.
Tseng TS, Lin HY, Moody-Thomas S, Martin M, Chen T. Who tended to continue smoking after cancer diagnosis: the national health and nutrition examination survey 1999-2008. BMC Public Health. 2012;12(1):784.CrossRefPubMedPubMedCentral
17.
Bryant J, Boyes A, Hall A, Girgis A, D’Este C, Sitas F. Prevalence and factors related to smoking and smoking cessation 6 months following a cancer diagnosis: a population-based study. J Cancer Surviv. 2016;10(4):645–53.CrossRefPubMed
18.
Bellizzi KM, Rowland JH, Jeffery DD, McNeel T. Health behaviors of cancer survivors: examining opportunities for cancer control intervention. J Clin Oncol. 2005;23(34):8884–93.CrossRefPubMed
19.
20.
Mowls D, Brame L, Martinez S, Beebe L. Lifestyle behaviors among US cancer survivors. J Cancer Surviv. 2016;10(4):692–8.CrossRefPubMed
21.
Blanchard C, Courneya K, Stein K. Cancer survivors’ adherence to lifestyle behavior recommendations and associations with health-related quality of life: results from the American Cancer Society's SCS-II. J Clin Oncol. 2008;26(13):2198–204.CrossRefPubMed
22.
Wang Z, McLoone P, Morrison D. Diet, exercise, obesity, smoking and alcohol consumption in cancer survivors and the general population: a comparative study of 16 282 individuals. Br J Cancer. 2014;112(3):572–5.CrossRefPubMedPubMedCentral
23.
Schiller U, Inhestern J, Burger U, Singer S, Guntinas-Lichius O. Predictors of post-treatment smoking and drinking behavior of head and neck cancer survivors: results of a population-based survey. Eur Arch Otorhinolaryngol. 2016;273(10):3337–45.CrossRefPubMed
24.
25.
Riper H, Blankers M, Hadiwijaya H, Cunningham J, Clarke S, Wiers R, et al. Effectiveness of guided and unguided low-intensity internet interventions for adult alcohol misuse: a meta-analysis. PLoS One. 2015;9(6):e99912.CrossRef
26.
Civljak M, Stead LF, Hartmann-Boyce J, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database Syst Rev. 2013;7:CD007078.
27.
Sundström, C, Blankers M, Khadjesari Z. Computer-based interventions for problematic alcohol use: a review of systematic reviews. Int J Behav Med. 2017;24(5):646–58.
28.
Graham AL, Abrams DB. Reducing the cancer burden of lifestyle factors: opportunities and challenges of the internet. J Med Internet Res. 2005;7(3):e26.CrossRefPubMedPubMedCentral
29.
Goode AD, Lawler SP, Brakenridge CL, Reeves MM, Eakin EG. Telephone, print, and web-based interventions for physical activity, diet, and weight control among cancer survivors: a systematic review. J Cancer Surviv. 2015;9(4):660–82.CrossRefPubMed
30.
Bantum EO, Albright CL, White KK, Berenberg JL, Layi G, Ritter PL, et al. Surviving and thriving with cancer using a web-based health behavior change intervention: randomized controlled trial. J Med Internet Res. 2014;16(2):e54.CrossRefPubMed
31.
Emmons K, Puleo E, Sprunck-Harrild K, Ford J, Ostroff J, Hodgson D, et al. Partnership for Health-2, a web-based versus print smoking cessation intervention for childhood and young adult Cancer survivors: randomized comparative effectiveness study. J Med Internet Res. 2013;15(11):e218.CrossRefPubMedPubMedCentral
32.
Berg CJ, Stratton E, Giblin J, Esiashvili N, Mertens A. Pilot results of an online intervention targeting health promoting behaviors among young adult cancer survivors. Psycho-Oncology. 2014 Oct;23(10):1196.CrossRefPubMedPubMedCentral
33.
Ferrer RA, Huedo-Medina TB, Johnson BT, Ryan S, Pescatello LS. Exercise interventions for cancer survivors: a meta-analysis of quality of life outcomes. Ann Behav Med. 2011;41(1):32–47.CrossRefPubMedPubMedCentral
34.
de Boer AG, Taskila T, Tamminga SJ, Frings-Dresen MH, Feuerstein M, Verbeek JH. Interventions to enhance return-to-work for cancer patients. Cochrane Database Syst Rev. 2011;(2).
35.
Mishra SI, Scherer RW, Snyder C, Geigle PM, Berlanstein DR, Topaloglu O. Exercise interventions on health-related quality of life for people with cancer during active treatment. Cochrane Database Syst Rev. 2012;(8).
36.
Gritz E, Fingeret M, Vidrine D, Lazev A, Mehta N, Reece G. Successes and failures of the teachable moment. Cancer. 2006;106(1):17–27.CrossRefPubMed
37.
Humpel N, Magee C, Jones S. The impact of a cancer diagnosis on the health behaviors of cancer survivors and their family and friends. Support Care Cancer. 2007;15(6):621–30.CrossRefPubMed
38.
39.
Scott NW, McPherson GC, Ramsay CR, Campbell MK. The method of minimization for allocation to clinical trials: a review. Control Clin Trials. 2002;23(6):662–74.CrossRefPubMed
40.
Pocock SJ, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics. 1975;31(1):103–15.CrossRefPubMed
41.
R. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2013.
42.
Bricker J, Wyszynski C, Comstock B, Heffner JL. Pilot randomized controlled trial of web-based acceptance and commitment therapy for smoking cessation. Nicotine Tob Res. 2013;15(10):1756.CrossRefPubMedPubMedCentral
43.
pwr: Basic functions for power analysis. R package version 1.1.1. 2012.
44.
Sinadinovic K, Wennberg P, Johansson M, Berman AH. Targeting individuals with problematic alcohol use via web-based cognitive-behavioral self-help modules, personalized screening feedback or assessment only: a randomized controlled trial. Eur Addict Res. 2014;20(6):305–18.CrossRefPubMed
45.
Lai DTC, Cahill K, Qin Y, Tang JL. Motivational interviewing for smoking cessation. Cochrane Database Syst Rev. 2010;(1).
46.
Vasilaki EI, Hosier SG, Cox WM. The efficacy of motivational interviewing as a brief intervention for excessive drinking: a meta-analytic review. Alcohol Alcohol. 2006;41(3):328–35.CrossRefPubMed
47.
Schippers G, Smeerdijk A, Merkx M. Handboek cognitieve gedragstherapie bij middelengebruik en gokken. Amersfoort: Resultaten Scoren; 2016.
48.
Partnership Stop met Roken. Zorgmodule Stoppen met Roken. 2009. Den Haag: Partnership Stop met Roken.
49.
Hernández-López M, Luciano MC, Bricker JB, Roales-Nieto JG, Montesinos F. Acceptance and commitment therapy for smoking cessation: a preliminary study of its effectiveness in comparison with cognitive behavioral therapy. Psychol Addict Behav. 2009;23(4):723.CrossRefPubMed
50.
Bricker JB, Mann SL, Marek PM, Liu J, Peterson AV. Telephone-delivered acceptance and commitment therapy for adult smoking cessation: a feasibility study. Nicotine Tob Res. 2010;12(4):454–8.CrossRefPubMed
51.
Gifford EV, Kohlenberg BS, Hayes SC, Pierson HM, Piasecki MP, Antonuccio DO, et al. Does acceptance and relationship focused behavior therapy contribute to bupropion outcomes? A randomized controlled trial of functional analytic psychotherapy and acceptance and commitment therapy for smoking cessation. Behav Ther. 2011;42(4):700–15.CrossRefPubMed
52.
Thekiso TB, Murphy P, Milnes J, Lambe K, Curtin A, Farren CK. Acceptance and commitment therapy in the treatment of alcohol use disorder and comorbid affective disorder: a pilot matched control trial. Behav Ther. 2015;46(6):717–28.CrossRefPubMed
53.
Lee EB, An W, Levin ME, Twohig MP. An initial meta-analysis of acceptance and commitment therapy for treating substance use disorders. Drug Alcohol Depend. 2015;155:1–7.CrossRefPubMed
54.
Hayes SC, Luoma JB, Bond FW, Masuda A, Lillis J. Acceptance and commitment therapy: model processes and outcomes. Behav Res Ther. 2006;44(1):1–25.CrossRefPubMed
55.
Hayes SC, Masuda A, De Mey H. Acceptance and commitment therapy and the third wave of behaviour therapy. Gedragstherapie. 2007;
56.
Carney MA, Tennen H, Affleck G, Del Boca FK, Kranzler HR. Levels and patterns of alcohol consumption using timeline follow-back, daily diaries and real-time "electronic interviews". J Stud Alcohol. 1998;59(4):447–54.CrossRefPubMed
57.
Pedersen ER, Grow J, Duncan S, Neighbors C, Larimer ME. Concurrent validity of an online version of the timeline Followback assessment. Psychol Addict Behav. 2012;26(3):672–7.CrossRefPubMedPubMedCentral
58.
Brown RA, Burgess ES, Sales SD, Whiteley JA, Evans DM, Miller IW. Reliability and validity of a smoking timeline follow-back interview. Psychol Addict Behav. 1998;12(2):101.CrossRef
59.
Rueger SY, Trela CJ, Palmeri M, King AC. Self-administered web-based timeline Followback procedure for drinking and smoking behaviors in young adults. J Stud Alcohol Drugs. 2012;73(5):829–33.CrossRefPubMedPubMedCentral
60.
West R, Hajek P, Stead L, Stapleton J. Outcome criteria in smoking cessation trials: proposal for a common standard. Addiction. 2005;100(3):299–303.CrossRefPubMed
61.
Saunders JB, Aasland OG, Babor TF, De la Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT). WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88(6):791–804.CrossRefPubMed
62.
Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K. The Fagerstrom test for nicotine dependence: a revision of the Fagerstrom tolerance questionnaire. Br J Addict. 1991;86(9):1119–27.CrossRefPubMed
63.
Vink JM, Willemsen G, Beem AL, Boomsma DI. The Fagerström test for nicotine dependence in a Dutch sample of daily smokers and ex-smokers. Addict Behav. 2005;30(3):575–9.CrossRefPubMed
64.
Schmidt J, Wittmann WW. Fragebogen zur Messung der Patientenzufriedenheit. In: Brähler E, Schumacher J, Strauß B, editors. Diagnostische Verfahren in der Psychotherapie. Göttingen: Hogrefe; 2002. p. 392–6.
65.
Kriz D, Nübling R, Steffanowski A, Wittmann WW, Schmidt J. Patientenzufriedenheit in der stationären rehabilitation: Psychometrische reanalyse des ZUF-8 auf der basis multizentrischer Stichproben verschiedener Indikation. Z Med Psychol. 2008;17(2–3):67–79.
66.
Haakart-van Roijen L, van Straten A, Donker M, Tiemens B. Manual Trimbos/iMTA questionnaire for costs associated with psychiatric illness. Rotterdam: Institute for Medical Technology Assessment; 2002.
67.
Bouwmans C, De Jong K, Timman R, Zijlstra-Vlasveld M, Van der Feltz-Cornelis C, Tan SS, Hakkaart-van RL. Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P). BMC Health Serv Res. 2013;13(1):217.CrossRefPubMedPubMedCentral
68.
Group TE. EuroQol-a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208.CrossRef
69.
Rabin R. Charro Fd. EQ-SD: a measure of health status from the EuroQol group. Ann Med. 2001;33(5):337–43.CrossRefPubMed
70.
Lamers LM, Stalmeier PF, McDonnell J, Krabbe PF, van Busschbach JJ. Measuring the quality of life in economic evaluations: the Dutch EQ-5D tariff. Ned Tijdschr Geneeskd. 2005;149(28):1574–8.PubMed
71.
van der Zanden BP, Dijkgraaf MG, Blanken P, de Borgie CA, van Ree JM, van den Brink W. Validity of the EQ-5D as a generic health outcome instrument in a heroin-dependent population. Drug Alcohol Depend. 2006;82(2):111–8.CrossRefPubMed
72.
Ware Jr JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care 1992;30(6):473–483.
73.
Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, Swinburn P, Busschbach J. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22(7):1717–27.CrossRefPubMed
74.
Aaronson NK, Muller M, Cohen PD, Essink-Bot ML, Fekkes M, Sanderman R, Sprangers MA, te Velde A, Verrips E. Translation, validation, and norming of the Dutch language version of the SF-36 health survey in community and chronic disease populations. J Clin Epidemiol. 1998;51(11):1055–68.CrossRefPubMed
75.
Schippers G, Broekman T, Buchholz A. MATE 2.1. Handleiding en protocol. Nijmegen: Bèta Boeken; 2011.
76.
77.
Littel M, Franken IH, Muris P. Psychometric properties of the brief questionnaire on smoking urges (QSU-brief) in a Dutch smoker population. Neth J Psychol. 2011:1–20.
78.
De Beurs E, Zitman FG. De brief symptom inventory (BSI). De betrouwbaarheid en validiteit van een handzaam alternatief voor de SCL-90. Maandblad Geestelijke Volksgezondheid. 2006;61(2):120–41.
79.
Jacobs J, Kleen M, De Groot F, A-Tjak J. Het meten van experiëntiële vermijding. De Nederlandstalige versie van de acceptance and action questionnaire-II: the measurement of experiential avoidance. The Dutch language version of the acceptance and action questionnaire-II (AAQ-II). Gedragstherapie. 2008;4(41):349–64.
80.
Levin ME, Pistorello J, Seeley JR, Hayes SC. Feasibility of a prototype web-based acceptance and commitment therapy prevention program for college students. J Am Coll Heal. 2014;62(1):20–30.CrossRef
81.
Melrose KL, Brown GD, Wood AM. When is received social support related to perceived support and well-being? When it is needed. Personal Individ Differ. 2015;77:97–105.CrossRef
82.
Williams DM, Rhodes RE. The confounded self-efficacy construct: conceptual analysis and recommendations for future research. Health Psychol Rev 2014;(ahead-of-print):1–16.
83.
Gwaltney CJ, Metrik J, Kahler CW, Shiffman S. Self-efficacy and smoking cessation: a meta-analysis. Psychol Addict Behav. 2009;23(1):56–66.CrossRefPubMed
84.
Graham AL, Papandonatos GD, Cobb CO, Cobb NK, Niaura RS, Abrams DB, et al. Internet and telephone treatment for smoking cessation: mediators and moderators of short-term abstinence. Nicotine Tob Res. 2015;17(3):299–308.CrossRefPubMed
85.
Crowne DP, Marlowe D. A new scale of social desirability independent of psychopathology. J Consult Psychol. 1960;24(4):349–54.CrossRefPubMed
86.
Blankers M, Koeter MW, Schippers GM. Missing data approaches in eHealth research: simulation study and a tutorial for nonmathematically inclined researchers. J Med Internet Res. 2010, 12(5):e54.
87.
88.
Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002;21(2):271–92.CrossRefPubMed
89.
Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes: Oxford university press; 2015.
90.
Wronski SL. Defining cancer survivor and cancer survivorship: the who, what, and when. Psicooncologìa. 2015;12(1):7–18.
91.
92.
93.
Demark-Wahnefried W, Aziz NM, Rowland JH, Pinto BM. Riding the crest of the teachable moment: promoting long-term health after the diagnosis of cancer. J Clin Oncol. 2005;23(24):5814–30.CrossRefPubMedPubMedCentral
94.
Carroll AJ, Veluz-Wilkins AK, Blazekovic S, Kalhan R, Leone FT, Wileyto EP, et al. Cancer-related disease factors and smoking cessation treatment: analysis of an ongoing clinical trial. Psycho-Oncology. 2017;27(2):471–6.CrossRefPubMed
95.
Metadata
Title
Internet-based self-help smoking cessation and alcohol moderation interventions for cancer survivors: a study protocol of two RCTs
Authors
Ajla Mujcic
Matthijs Blankers
Brigitte Boon
Rutger Engels
Margriet van Laar
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4206-z

Other articles of this Issue 1/2018

BMC Cancer 1/2018 Go to the issue

Correction

Correction to: Oncology practitioners’ perspectives and practice patterns of post-treatment cancer survivorship care in the Asia-Pacific region: results from the STEP study

Research article

Adjuvant treatment of resectable biliary tract cancer with cisplatin plus gemcitabine: A prospective single center phase II study

Research article

The outcomes and prognostic factors in patients with osteosarcoma according to age: a Japanese nationwide study with focusing on the age differences

Research article

Selective oestrogen receptor antagonists inhibit oesophageal cancer cell proliferation in vitro

Research article

Association of tamoxifen resistance and lipid reprogramming in breast cancer

Research article

A rare CHD5 haplotype and its interactions with environmental factors predicting hepatocellular carcinoma risk

2024 ASCO Annual Meeting Coverage

Highlights of the Day: Breast cancer – metastatic

Breast Cancer Video

In this session, Dr. Wolff provides his key takeaways from the data presented in the metastatic breast cancer oral abstract session at ASCO 2024.

Watch now

Highlights of the Day: Gynecologic cancer

Gynecologic Cancer Video

Highlights of the Day: Breast Cancer – local/regional/adjuvant

Breast Cancer Video

Neoadjuvant dual immunotherapy improves melanoma outcomes

04-06-2024 Melanoma News

» View more highlights on the ASCO 2024 congress hub page

Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Watch now

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine
Image Credits