TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves

David P Enot^{1

2

3

4

5

6}, Erika Vacchelli^{1

2

3

4

5

6

7

8}, Nicolas Jacquelot^{9

10

11

7

8}, Laurence Zitvogel^{9

10

11

12}, Guido Kroemer^{1

2

3

4

5

6

13

14}

Affiliations

¹ Gustave Roussy Comprehensive Cancer Institute, Villejuif, France.
² INSERM, U1138, Paris, France.
³ Equipe 11 labellisée par la Ligue Nationale contre le Cancer, Centre de Recherche des Cordeliers, Paris, France.
⁴ Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
⁵ Université Pierre et Marie Curie, Paris, France.
⁶ Metabolomics and Cell Biology Platforms, Gustave Roussy Comprehensive Cancer Institute, Villejuif, France.
⁷ Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Australia.
⁸ Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Melbourne, Australia.
⁹ Faculté de Médecine, Université Paris-Saclay, Kremlin-Bicêtre, France.
¹⁰ INSERM, U1015, Villejuif, France.
¹¹ Center of Clinical Investigations in Biotherapies of Cancer (CICBT) 507, Villejuif, France.
¹² Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
¹³ Pôle de Biologie, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
¹⁴ Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm.

PMID: 30228932
PMCID: PMC6140814
DOI: 10.1080/2162402X.2018.1462431

TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves

David P Enot et al. Oncoimmunology. 2018.

. 2018 Aug 1;7(9):e1462431.

doi: 10.1080/2162402X.2018.1462431. eCollection 2018.

Authors

David P Enot^{1

2

3

4

5

6}, Erika Vacchelli^{1

2

3

4

5

6

7

8}, Nicolas Jacquelot^{9

10

11

7

8}, Laurence Zitvogel^{9

10

11

12}, Guido Kroemer^{1

2

3

4

5

6

13

14}

Affiliations

¹ Gustave Roussy Comprehensive Cancer Institute, Villejuif, France.
² INSERM, U1138, Paris, France.
³ Equipe 11 labellisée par la Ligue Nationale contre le Cancer, Centre de Recherche des Cordeliers, Paris, France.
⁴ Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
⁵ Université Pierre et Marie Curie, Paris, France.
⁶ Metabolomics and Cell Biology Platforms, Gustave Roussy Comprehensive Cancer Institute, Villejuif, France.
⁷ Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Australia.
⁸ Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Melbourne, Australia.
⁹ Faculté de Médecine, Université Paris-Saclay, Kremlin-Bicêtre, France.
¹⁰ INSERM, U1015, Villejuif, France.
¹¹ Center of Clinical Investigations in Biotherapies of Cancer (CICBT) 507, Villejuif, France.
¹² Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
¹³ Pôle de Biologie, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
¹⁴ Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm.

PMID: 30228932
PMCID: PMC6140814
DOI: 10.1080/2162402X.2018.1462431

Abstract

The analysis of tumor growth curves is standard practice in experimental oncology including tumor immunology. In experimental oncology, cancer cells are inoculated into rodents (mostly mice) and their growth is monitored by measuring tumor diameter, surface or volume over time as a function of distinct treatments. Then, different groups of tumors/treatments are compared among each other for their evolution and possible responses to treatment. The R package TumGrowth has been created as a software tool allowing to carry out a series of statistical comparisons across or between groups of tumor growth curves obtained in a standard laboratory, for experimenters with limited knowledge in statistics. TumGrowth is freely available online at https://kroemerlab.shinyapps.io/TumGrowth/ and can be downloaded into any computer. It offers an exhaustive panoply of tools to visualize and analyze complex data sets including longitudinal, cross-sectional and time-to-endpoint measurements.

Keywords: mice; statistical analyses; survival; tumor growth.

PubMed Disclaimer

Figures

**Figure 1.**
Overall workflow of the *TumGrowth* software. After data upload, the user verifies the integrity of the data file, visualizes the experimental outcome while allowing the investigator to choose among several possibilities, then performs several distinct statistical comparisons (longitudinal, cross-sectional, time-to-endpoint) and finally generates publication quality Figs., as well as detailed statistical reports.

See this image and copyright information in PMC

Cited by

Peptide vaccination directed against IDO1-expressing immune cells elicits CD8⁺ and CD4⁺ T-cell-mediated antitumor immunity and enhanced anti-PD1 responses.
Dey S, Sutanto-Ward E, Kopp KL, DuHadaway J, Mondal A, Ghaban D, Lecoq I, Zocca MB, Merlo LMF, Mandik-Nayak L, Andersen MH, Pedersen AW, Muller AJ. Dey S, et al. J Immunother Cancer. 2020 Jul;8(2):e000605. doi: 10.1136/jitc-2020-000605. J Immunother Cancer. 2020. PMID: 32690770 Free PMC article.
Combination treatments with hydroxychloroquine and azithromycin are compatible with the therapeutic induction of anticancer immune responses.
Liu P, Zhao L, Ferrere G, Alves-Costa-Silva C, Ly P, Wu Q, Tian AL, Derosa L, Zitvogel L, Kepp O, Kroemer G. Liu P, et al. Oncoimmunology. 2020 Jul 8;9(1):1789284. doi: 10.1080/2162402X.2020.1789284. Oncoimmunology. 2020. PMID: 32923151 Free PMC article.
Bioinformatics analysis combined with experiments to explore potential prognostic factors for pancreatic cancer.
Ke MJ, Ji LD, Li YX. Ke MJ, et al. Cancer Cell Int. 2020 Aug 8;20:382. doi: 10.1186/s12935-020-01474-7. eCollection 2020. Cancer Cell Int. 2020. PMID: 32782440 Free PMC article.
Copy Number Variation That Influences the Ionizing Radiation Sensitivity of Oral Squamous Cell Carcinoma.
Izumi T, Rychahou P, Chen L, Smith MH, Valentino J. Izumi T, et al. Cells. 2023 Oct 10;12(20):2425. doi: 10.3390/cells12202425. Cells. 2023. PMID: 37887269 Free PMC article.
Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress.
Humeau J, Sauvat A, Cerrato G, Xie W, Loos F, Iannantuoni F, Bezu L, Lévesque S, Paillet J, Pol J, Leduc M, Zitvogel L, de Thé H, Kepp O, Kroemer G. Humeau J, et al. EMBO Mol Med. 2020 May 8;12(5):e11622. doi: 10.15252/emmm.201911622. Epub 2020 Apr 23. EMBO Mol Med. 2020. PMID: 32323922 Free PMC article.

See all "Cited by" articles

References

1. Zitvogel L, Pitt JM, Daillere R, Smyth MJ, Kroemer G. Mouse models in oncoimmunology. Nat Rev Cancer. 2016;16:759–73. doi:10.1038/nrc.2016.91. PMID:27687979. - DOI - PubMed
1. Pietrocola F, Pol J, Vacchelli E, Rao S, Enot DP, Baracco EE, Levesque S, Castoldi F, Jacquelot N, Yamazaki T, et al.. Caloric Restriction Mimetics Enhance Anticancer Immunosurveillance. Cancer Cell. 2016;30:147–60. doi:10.1016/j.ccell.2016.05.016. PMID:27411589. - DOI - PMC - PubMed
1. Daillere R, Vetizou M, Waldschmitt N, Yamazaki T, Isnard C, Poirier-Colame V, et al.. Enterococcus hirae and Barnesiella intestinihominis Facilitate Cyclophosphamide-Induced Therapeutic Immunomodulatory Effects. Immunity. 2016;45:931–43. doi:10.1016/j.immuni.2016.09.009. PMID:27717798. - DOI - PubMed
1. Baracco EE, Pietrocola F, Buque A, Bloy N, Senovilla L, Zitvogel L, Vacchelli E, Kroemer G. Inhibition of formyl peptide receptor 1 reduces the efficacy of anticancer chemotherapy against carcinogen-induced breast cancer. Oncoimmunology. 2016;5:e1139275. doi:10.1080/2162402X.2016.1139275. PMID:27471610. - DOI - PMC - PubMed
1. Yang H, Ma Y, Chen G, Zhou H, Yamazaki T, Klein C, Pietrocola F,Vacchelli E, Souquere S, Sauvat A, et al.. Contribution of RIP3 and MLKL to immunogenic cell death signaling in cancer chemotherapy. Oncoimmunology. 2016;5:e1149673. doi:10.1080/2162402X.2016.1149673. PMID:27471616. - DOI - PMC - PubMed

LinkOut - more resources

Full Text Sources
Other Literature Sources
- The Lens - Patent Citations Database
- scite Smart Citations

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves

Affiliations

TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves

Authors

Affiliations

Abstract

Figures

Similar articles

Cited by

References

LinkOut - more resources

Full Text Sources

Other Literature Sources