Lecture 3.2: Tumor-Promoting Inflammation - The Microenvironmental Enabler

Comprehensive Resource List

Foundational Papers & Reviews

Historical Perspectives

1. Virchow, R. (1863). Die krankhaften Geschwülste. Berlin: August Hirschwald.
   • Original observations linking inflammation and cancer
2. Dvorak, H.F. (1986). "Tumors: wounds that do not heal." N Engl J Med 315(26):1650-9.
   • Seminal paper establishing the wound healing/cancer parallel
3. Balkwill, F. & Mantovani, A. (2001). "Inflammation and cancer: back to Virchow?" Lancet 357(9255):539-45.
   • Revival of inflammation-cancer connection in modern context

Core Hallmarks Framework

4. Hanahan, D. & Weinberg, R.A. (2011). "Hallmarks of cancer: the next generation." Cell 144(5):646-74.
   • Establishing tumor-promoting inflammation as enabling characteristic
5. Hanahan, D. (2022). "Hallmarks of Cancer: New Dimensions." Cancer Discovery 12(1):31-46.
   • Updated framework incorporating inflammatory mechanisms

Cell Type-Specific Resources

Tumor-Associated Macrophages (TAMs)

6. Mantovani, A. et al. (2017). "Tumour-associated macrophages as treatment targets in oncology." Nature Reviews Clinical Oncology 14(7):399-416.
   • Comprehensive review of TAM biology and therapeutic targeting
7. DeNardo, D.G. & Ruffell, B. (2019). "Macrophages as regulators of tumour immunity and immunotherapy." Nature Reviews Immunology 19(6):369-382.
   • TAM roles in immune regulation and therapy response
8. Cassetta, L. & Pollard, J.W. (2023). "A timeline of tumour-associated macrophage biology." Nature Reviews Cancer 23(4):238-257.
   • Recent comprehensive review of TAM evolution in cancer

Myeloid-Derived Suppressor Cells (MDSCs)

9. Gabrilovich, D.I. et al. (2012). "Coordinated regulation of myeloid cells by tumours." Nature Reviews Immunology 12(4):253-68.
   • Foundational review of MDSC biology
10. Veglia, F. et al. (2021). "Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity." Nature Reviews Immunology 21(8):485-498.
    • Updated understanding of MDSC heterogeneity

Regulatory T Cells (Tregs)

11. Tanaka, A. & Sakaguchi, S. (2017). "Regulatory T cells in cancer immunotherapy." Cell Research 27(1):109-118.
    • Treg function in tumor immunity
12. Togashi, Y. et al. (2019). "Regulatory T cells in cancer immunosuppression." Nature Reviews Clinical Oncology 16(6):356-371.
    • Clinical implications of Treg targeting

Cancer-Associated Fibroblasts (CAFs)

13. Sahai, E. et al. (2020). "A framework for advancing our understanding of cancer-associated fibroblasts." Nature Reviews Cancer 20(3):174-186.
    • Consensus framework for CAF biology
14. Chen, X. & Song, E. (2019). "Turning foes to friends: targeting cancer-associated fibroblasts." Nature Reviews Drug Discovery 18(2):99-115.
    • Therapeutic targeting of CAFs

Key Signaling Pathways

NF-κB Pathway

15. Taniguchi, K. & Karin, M. (2018). "NF-κB, inflammation, immunity and cancer: coming of age." Nature Reviews Immunology 18(5):309-324.
    • Comprehensive NF-κB review in cancer context
16. DiDonato, J.A. et al. (2012). "NF-κB and the link between inflammation and cancer." Immunological Reviews 246(1):379-400.
    • Mechanistic insights into NF-κB in cancer

JAK-STAT3 Pathway

17. Yu, H. et al. (2014). "Revisiting STAT3 signalling in cancer: new and unexpected biological functions." Nature Reviews Cancer 14(11):736-46.
    • STAT3 functions in cancer and immunity
18. Johnson, D.E. et al. (2018). "Targeting the IL-6/JAK/STAT3 signalling axis in cancer." Nature Reviews Clinical Oncology 15(4):234-248.
    • Clinical targeting of JAK-STAT3

TLR/MyD88 Pathway

19. Rakoff-Nahoum, S. & Medzhitov, R. (2009). "Toll-like receptors and cancer." Nature Reviews Cancer 9(1):57-63.
    • TLR roles in cancer

cGAS-STING Pathway

20. Kwon, J. & Bakhoum, S.F. (2020). "The Cytosolic DNA-Sensing cGAS-STING Pathway in Cancer." Cancer Discovery 10(1):26-39.
    • cGAS-STING in cancer progression and therapy

Cytokine Networks

IL-6

21. Johnson, D.E. et al. (2018). "Targeting the IL-6/JAK/STAT3 signalling axis in cancer." Nature Reviews Clinical Oncology 15(4):234-248.
    • IL-6 signaling and therapeutic targeting
22. Kumari, N. et al. (2016). "Role of interleukin-6 in cancer progression and therapeutic resistance." Tumor Biology 37(9):11553-11572.
    • Comprehensive IL-6 review

TGF-β

23. Batlle, E. & Massagué, J. (2019). "Transforming Growth Factor-β Signaling in Immunity and Cancer." Immunity 50(4):924-940.
    • TGF-β dual roles in cancer
24. Mariathasan, S. et al. (2018). "TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells." Nature 554(7693):544-548.
    • TGF-β in immunotherapy resistance

TNF-α

25. Balkwill, F. (2009). "Tumour necrosis factor and cancer." Nature Reviews Cancer 9(5):361-71.
    • Comprehensive TNF-α review in cancer

Therapeutic Targeting Reviews

26. Greten, F.R. & Grivennikov, S.I. (2019). "Inflammation and Cancer: Triggers, Mechanisms, and Consequences." Immunity 51(1):27-41.
    • Therapeutic implications of inflammatory mechanisms
27. Crusz, S.M. & Balkwill, F.R. (2015). "Inflammation and cancer: advances and new agents." Nature Reviews Clinical Oncology 12(10):584-96.
    • Clinical translation of anti-inflammatory approaches

Specialized Topics

Metabolic-Inflammatory Interactions

28. Biswas, S.K. (2015). "Metabolic Reprogramming of Immune Cells in Cancer Progression." Immunity 43(3):435-49.
    • Metabolic control of inflammation

Microbiome-Inflammation

29. Zitvogel, L. et al. (2018). "The microbiome in cancer immunotherapy." Science 359(6382):1366-1370.
    • Microbiome influences on tumor inflammation

Neuroinflammation in Cancer

30. Monje, M. et al. (2020). "Roadmap for the Emerging Field of Cancer Neuroscience." Cell 181(2):219-222.
    • Neural-inflammatory interactions

Key Databases and Online Resources

Gene Expression & Pathway Databases

• TCGA (The Cancer Genome Atlas): https://portal.gdc.cancer.gov/
  • Comprehensive genomic data including inflammatory signatures
• cBioPortal: https://www.cbioportal.org/
  • Interactive exploration of cancer genomics data
• KEGG Pathways: https://www.kegg.jp/
  • Inflammatory pathway maps and interactions

Protein Interaction Databases

• STRING: https://string-db.org/
  • Protein-protein interaction networks
• Reactome: https://reactome.org/
  • Pathway analysis tools

Single-Cell Resources

• Human Tumor Atlas Network: https://humantumoratlas.org/
  • Single-cell data from human tumors
• CellxGene: https://cellxgene.cziscience.com/
  • Single-cell expression data visualization

Clinical Trial Resources

• ClinicalTrials.gov: https://clinicaltrials.gov/
  • Search terms: "tumor inflammation," "TAM," "MDSC," "cytokine blockade"
• EU Clinical Trials Register: https://www.clinicaltrialsregister.eu/
  • European trials targeting inflammatory pathways

Recommended Journal Special Issues

1. Nature Reviews Cancer (2020) - Special Issue on Tumor Microenvironment
2. Cancer Cell (2021) - Focus on Myeloid Cells in Cancer
3. Immunity (2022) - Special Issue on Cancer Immunology
4. Cell (2023) - Cancer Hallmarks Anniversary Collection

Laboratory Protocols and Methods

Key Techniques Papers

31. Flow Cytometry Analysis of TAMs
    • Franklin, R.A. et al. (2014). "The cellular and molecular origin of tumor-associated macrophages." Science 344(6186):921-5.
32. MDSC Isolation and Characterization
    • Bronte, V. et al. (2016). "Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards." Nature Communications 7:12150.
33. Cytokine Profiling Methods
    • Leng, S.X. et al. (2008). "ELISA and multiplex technologies for cytokine measurement." J Gerontol A Biol Sci Med Sci 63(8):879-84.

Video Lectures and Online Courses

1. iBiology Talks
   • "Inflammation and Cancer" by Frances Balkwill
   • "Macrophages in Cancer" by Jeffrey Pollard
2. Coursera
   • "Understanding Cancer Metastasis" (Johns Hopkins)
   • Includes modules on inflammatory mechanisms
3. MIT OpenCourseWare
   • 7.342 "The Hallmarks of Cancer"
   • Includes inflammation lectures

Software and Analysis Tools

Data Analysis

• R/Bioconductor packages:
  • CIBERSORT/CIBERSORTx: Immune cell deconvolution
  • immunedeconv: Comprehensive immune deconvolution
  • escape: Gene set enrichment for single-cell data

Pathway Analysis

• Cytoscape: Network visualization and analysis
• GSEA: Gene Set Enrichment Analysis software
• IPA (Ingenuity Pathway Analysis): Commercial pathway analysis

Key Review Collections

1. Annual Review of Immunology - Cancer Immunology sections
2. Annual Review of Pathology - Mechanisms of Disease
3. Nature Reviews Disease Primers - Cancer-specific primers
4. Cold Spring Harbor Perspectives in Medicine - Cancer Collection

Professional Organizations and Conferences

• Society for Immunotherapy of Cancer (SITC)
• International Cancer Microenvironment Society
• Keystone Symposia - Cancer and Inflammation meetings
• Gordon Research Conferences - Tumor Microenvironment

Study Questions and Discussion Points

1. How do inflammatory mechanisms differ between cancer initiation and progression?
2. What determines whether inflammation suppresses or promotes tumors?
3. How can we overcome redundancy in inflammatory pathways therapeutically?
4. What biomarkers best predict response to anti-inflammatory cancer therapy?
5. How does metabolic competition shape inflammatory responses in tumors?

Further Reading Recommendations by Topic

For TAM Biology Deep Dive:

• Start with Mantovani et al. (2017), then Cassetta & Pollard (2023)

For Understanding MDSC Complexity:

• Begin with Gabrilovich et al. (2012), progress to Veglia et al. (2021)

For Therapeutic Applications:

• Read Greten & Grivennikov (2019), then specific pathway reviews

For Emerging Concepts:

• Focus on recent Cell, Nature, and Science papers (2022-2024)