UK's No.1 PhD Oncology Nursing
Macmillan / CRUK-Aligned Writers
Since 2001 · 14,687 reviews
ZERO AI · Turnitin Reports
PhD Oncology / Cancer Nursing
Thesis Writing Service UK
Doctoral-level support for cancer nursing research. NMC-registered PhD writers with Macmillan, CRUK, UKONS experience. Specialists in chemotherapy administration, immunotherapy nursing, haematology, late effects, survivorship, supportive cancer care, palliative oncology, and cancer pathway research. Royal Marsden / Christie / UCLH / Beatson clinical heritage. ZERO AI. Since 2001.
Recently Approved: CRUK-funded Survivorship Study - University of Manchester
Recently Completed: Immunotherapy PRISMA Review - Royal Marsden / ICR
Passed Viva: Late Effects Childhood Cancer Thesis - Birmingham
A PhD in Oncology / Cancer Nursing is a 3–4 year UK research degree culminating in an original 60,000–80,000-word thesis on a topic relevant to cancer nursing practice, survivorship, supportive care, palliative oncology, or the cancer pathway. UK oncology nursing PhDs are funded by NIHR DRF / ICA, Cancer Research UK (CRUK), Macmillan Cancer Support, Marie Curie, MRC, Wellcome, Yorkshire Cancer Research, RCN Foundation, or NHS Trust-sponsored schemes through major cancer centres including the Royal Marsden, Christie, UCLH, Beatson, Belfast Cancer Centre, Velindre, and Edinburgh Cancer Centre.
Whether you need a single chapter or end-to-end thesis support, our oncology nursing PhD team writes every standard UK doctoral chapter to journal-publication standard. Each chapter below can be ordered individually or as part of full thesis support.
1. PhD Abstract
250–350 word doctoral abstract following CONSORT / PRISMA structure: background, aims, methods, results, conclusion, implications. Dedicated abstract service ›
3. Introduction Chapter
Context-setting chapter: cancer epidemiology, NHS Cancer Plan, research problem, aims, objectives, RQs, thesis structure. Dedicated introduction service ›
4. Literature Review
Critical synthesis of cancer nursing literature. PRISMA-aligned structured search across CINAHL, MEDLINE, EMBASE, PsycINFO, Cochrane. PhD literature review service ›
5. Methodology Chapter
Epistemology, research design, sampling, recruitment via cancer MDTs, ethics navigation, data collection, analytic approach. Methodology service ›
6. Theoretical Framework
Cancer-specific frameworks: Cancer Survivorship Continuum, Symptom Management Theory, Self-Regulation Theory, PRECEDE-PROCEED. Framework support ›
7. Data Analysis / Results
Quantitative (SPSS, STATA, R) or qualitative (NVivo IPA / TA) analysis. Tables, forest plots, themes, framework matrices. Results & discussion service ›
8. Discussion Chapter
Theoretical interpretation, comparison with literature, oncology nursing implications, NICE / NHS Cancer Plan alignment. Discussion service ›
9. Findings & Results
Separate findings chapter for qualitative work or mixed-methods integration. Findings service ›
10. Conclusion Chapter
Summary of contribution, limitations, recommendations for practice, policy, education, future research. Conclusion service ›
11. References / Bibliography
Harvard, Vancouver, APA 7th, or university-specific referencing. Managed in EndNote, Mendeley, or Zotero.
12. Appendices
IRAS forms, PIS / consent, interview schedules, instruments, PRISMA flow, data extraction templates, ethics correspondence.
13. Acknowledgements
Funder, supervisor, participant, PPI advisor, family acknowledgements drafted to your school style.
14. Statement of Originality
NMC-aligned authenticity statement, AI-use declaration, conflict of interest, ethics approval citation.
15. Thesis Formatting
School-specific class file, table of contents, list of figures/tables, page numbering, headers/footers. Formatting service ›
16. Post-Viva Corrections
Minor or major corrections post-viva, examiner-response document, revised thesis preparation. Corrections service ›
Cancer Ethics & MDT Navigation
HRA / REC for cancer research, MDT recruitment pathway, NHS Cancer Alliance liaison, Trust R&D for cancer studies, NCRAS data access.
Cancer PRISMA Reviews
PRISMA 2020 systematic reviews on cancer nursing topics. PROSPERO. Cochrane Gynaecological, Breast, Haematological Cancers Groups. Macmillan-aligned evidence synthesis.
Survivorship & Late Effects
Survivorship continuum research (Mullan stages), late effects (cardiotoxicity, secondary cancers, infertility), Living With and Beyond Cancer programme, NHS Cancer Recovery package.
Cancer-Specific Outcome Measures
EORTC QLQ-C30 + site-specific modules (BR23, LC13, CR29), FACT-G + FACT-B/L/C, HADS, Distress Thermometer, MMAS-8 for oral adherence, Concerns Checklist.
RCTs for Cancer Nursing
CONSORT-compliant trial protocols for nurse-led interventions, prehabilitation, exercise oncology, psychosocial interventions, supportive care, complementary therapies.
Discussion & Cancer Policy
Framed against NHS Long Term Plan Cancer Programme, NHS Cancer Strategy, NCRAS data, NHS Galleri trial, Faster Diagnosis Standard, NICE NG12 (suspected cancer), NG101 (early/locally advanced breast).
Chemotherapy & SACT
Systemic anti-cancer therapy administration, OCNA standards, extravasation, neutropenic sepsis, immune-related adverse events, oral SACT adherence, ambulatory chemo.
Immunotherapy
Checkpoint inhibitor nursing, CAR-T cell therapy, cytokine release syndrome (CRS), ICANS, immune-related adverse events, novel agent nursing.
Haematology Cancer
Leukaemia, lymphoma, myeloma, stem cell transplant (auto/allo), CAR-T, BMT recovery, graft-versus-host disease, CMV monitoring, MRD assessment.
Survivorship
Living With and Beyond Cancer, recovery package, holistic needs assessment (HNA), care plan, treatment summary, late effects clinic, return-to-work.
Palliative Oncology
Symptom control, breakthrough pain, total pain (Saunders), MND care for cancer cachexia, prognostication, ICD-10 cancer mortality coding.
Cancer Surgery / Surgical Onc
Enhanced recovery oncology (ERAS-O), prehabilitation, stoma care, breast surgery nursing, head and neck cancer nursing, gynae oncology.
Radiotherapy Nursing
Radical and palliative radiotherapy, side effects (skin, fatigue, oral mucositis), proton beam therapy, brachytherapy, stereotactic radiosurgery (SRS).
Paediatric Oncology
CCLG-aligned research, paediatric chemotherapy, late effects of childhood cancer, transitional care 16-25, paediatric palliative oncology.
1. Generic Outcomes for Cancer PopulationsUsing SF-36 instead of EORTC QLQ-C30 misses cancer-specific concerns. Examiners reject this.
The Fix: Cancer-specific outcome measures (EORTC, FACT, MMAS-8) selected and justified.
2. Surveillance Bias in Survivor CohortsSurvivors who attend follow-up clinics differ from those who don't. Examiners probe sample representativeness.
The Fix: Explicit discussion of follow-up engagement; sensitivity analyses with lost-to-follow-up.
3. Macmillan / CRUK Priorities MissedCharity strategic priorities shape funding decisions and policy. Ignoring them weakens impact discussion.
The Fix: Macmillan Living With and Beyond Cancer and CRUK research priorities mapped into discussion.
4. Ignoring Cancer InequalitiesCancer outcomes differ substantially by ethnicity, deprivation, geographic region. Modern viva expects this engagement.
The Fix: Core20PLUS5 cancer priorities integrated; deprivation index analyses; ethnic minority outcomes discussed.
1. How does your work change cancer nursing practice?
Specific audience: cancer MDT nursing leads, Macmillan, CNS networks, UKONS, NHS Cancer Alliance teams.
2. How did you select cancer-specific outcome measures?
Justify EORTC QLQ-C30 vs SF-36, site-specific module choice, distress thermometer cut-offs.
3. How does your work address cancer inequalities?
Engage Core20PLUS5, ethnic minority cancer outcomes, deprivation gradient, late-stage diagnosis in deprived areas.
4. How does your work integrate with NHS Long Term Plan cancer ambitions?
Faster Diagnosis Standard, 75% by 2028 early diagnosis ambition, personalised care, recovery package.
5. What are the implications for survivorship pathway redesign?
Risk-stratified follow-up, supported self-management, personalised stratified follow-up (PSFU), nurse-led clinics.
1. Clinical Scoping
30-min consultation with cancer-experienced PhD nurse. Align with current Cancer Alliance and Macmillan priorities.
2. Ethics & Approvals
HRA, REC, NCRAS data access, MDT recruitment pathway, Trust R&D for cancer studies, PROSPERO registration.
3. Literature Synthesis
CINAHL + MEDLINE + EMBASE + Cochrane Cancer + PsycINFO searches; dual-reviewer Rayyan; ROB 2.0.
4. Methodology & Data
Cancer-specific outcome measures, EORTC modules, recruitment via cancer MDTs, statistical analysis planning.
5. Analysis & Discussion
SPSS / STATA survival analysis; NVivo IPA. Findings framed against NHS LTP Cancer, NICE NG12, Macmillan priorities.
6. Submission & Viva
Thesis formatting, mock viva with senior cancer nurse academic, post-viva corrections.
Top Cancer Nursing Schools
King's College London (Florence Nightingale Faculty + Cancer Centre at Guy's), University of Manchester (Christie partnership), University of Southampton (cancer nursing strong), Cardiff University (Velindre partnership), UCL Cancer Institute.
NIHR Cancer BRC Partners
Royal Marsden / ICR BRC, Manchester / Christie BRC, UCLH / Cancer Institute BRC, Cambridge Cancer Centre, Oxford Cancer BRC, Birmingham BRC Cancer Theme, Leeds Cancer Research UK Centre.
Strong Cancer Nursing PhD Programmes
City St George's University of London, University of West London, Edge Hill, Northumbria, Salford, Anglia Ruskin, Brighton, Bournemouth, University of Surrey, Liverpool John Moores.
Specialist Programmes
Royal Marsden School of Cancer Nursing, Christie School of Oncology, Macmillan-funded PhD pathways, CCLG-linked paediatric oncology PhDs.
Immunotherapy Nursing
CAR-T cell therapy nursing, CRS management, ICANS recognition, checkpoint inhibitor irAEs, novel agent administration safety.
Survivorship & Recovery Package
Living With and Beyond Cancer, personalised stratified follow-up (PSFU), HNA implementation, supported self-management, late-effects clinics.
Cancer Inequalities
Core20PLUS5 cancer priorities, Black, Asian, ethnic minority cancer outcomes, deprivation gradient, late-stage diagnosis, geographic inequalities.
Early Diagnosis
NHS Galleri trial, FIT screening, NG12 implementation, faster diagnosis standard, GP cancer referral, lung CT screening pilots.
Prehabilitation
Pre-treatment fitness optimisation, exercise oncology, nutritional prehab, psychological prehab, ERAS-O, surgical readiness.
Digital Cancer Care
Remote monitoring, eHealth apps, patient-reported outcomes platforms (e.g. ePROs), virtual oncology consultations, AI in cancer triage.
Cancer Workforce
CNS workforce, OCNA-trained workforce expansion, Macmillan workforce census, advanced cancer nurse roles, return-to-cancer-nursing.
Childhood Cancer Late Effects
CCLG late effects research, cardiotoxicity, infertility, secondary cancers, neurocognitive outcomes, transitional cancer care 16-25.
What is a PhD in Oncology Nursing?
A PhD in Oncology / Cancer Nursing is a 3–4 year UK research degree producing an original 60,000–80,000-word thesis on cancer nursing practice, survivorship, palliative oncology, or supportive cancer care. Funded by NIHR DRF, CRUK, Macmillan, MRC, Marie Curie, or Trust schemes.
Do you have NHS oncology nursing experience?
Yes. Our oncology nursing PhD team includes Macmillan-aligned and CRUK-experienced nurses with NHS oncology and haematology experience at Royal Marsden, Christie, UCLH, Beatson, Belfast Cancer Centre, and Velindre.
Can you work with NCRAS / Cancer Registry data?
Yes. We help with NHS Digital cancer registration data access, NCRAS Public Health England cancer outcomes, Cancer Patient Experience Survey (CPES) analysis, and Routes to Diagnosis data.
Do you understand SACT and OCNA competence frameworks?
Yes. UKONS SACT competence framework, OCNA chemotherapy administration standards, immunotherapy nursing competencies, CAR-T cell therapy nursing all covered.
How long does an Oncology Nursing PhD take?
5–9 months chapter-by-chapter for a 60,000–80,000 word thesis.
Are your services 100% AI-free?
Yes. ZERO AI. Turnitin and AI-detection reports with every chapter.