Cited by 20Cancer Cells and MetastasisCancer Genomics and DiagnosticsMathematical Biology Tumor Growth

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Deriving Primary Cancer Cell Cultures for Personalized Therapy

Open access
Esparza-López, José, Martínez-Aguilar, Juan F., Ibarra-Sánchez, María de J.·2019·Revista de Investigación Clínica

Abstract

Cancer is the second-leading cause of death in the world, accounting for one out of six deaths. Consequently, there is an urgent need for new and more effective therapeutic options as well as drug screening methods. Immortal, "stable" cancer cell lines have been employed since the past century to assess drug response but face several disadvantages. They often accumulate new genetic aberrations due to long-term culture and lack the indisputable heterogeneity of solid tumors, therefore, compromising the recapitulation of molecular features from parental tumors. Primary cancer cells have emerged as an attractive alternative to commercial cell lines since they can preserve such properties more closely. Here, we provide an overview of the basic concepts underlying generation and characterization of primary cell cultures from tumor samples. We emphasize the advantages and disadvantages of using these types of cancer cell cultures, and we make a comparison with other types of cultures used for personalized therapy. Finally, we consider the use of primary cancer cell cultures in personalized therapy as a means to improve drug response prediction and therapeutic outcomes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.24875/ric.19002832

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Research works printed but not linked: 57

  1. Antonelli A, Ferrari SM, Fallahi P, Berti P, Materazzi G, Barani L, et al. Primary cell cultures from anaplastic thyroid cancer ob- tained by fine-needle aspiration used for chemosensitivity tests. Clin Endocrinol (Oxf). 2008;69:148-52.
  2. Carney DN, Bunn PA Jr. Gazdar AF, Pagan JA, Minna JD. Selective growth in serum-free hormone-supplemented medium of tumor cells obtained by biopsy from patients with small cell carcinoma of the lung. Proc Natl Acad Sci U S A. 1981;78:3185-9.
  3. Hovatta O, Silye R, Abir R, Krausz T, Winston RM. Extracellular matrix improves survival of both stored and fresh human pri- mordial and primary ovarian follicles in long-term culture. Hum Reprod. 1997;12:1032-6.
  4. Bezdieniezhnykh N, Lykhova A, Semesiuk N, Okhrimenko R, Ku- dryavets Y. Establishment and characterization of new breast and ovarian cancer cell lines as a model for studying cellular plasticity in vitro. Exp Oncol. 2016;38:94-100.
  5. Kar R, Chawla D, Gupta B, Mehndiratta M, Wadhwa N, Agarwal R, et al. Establishment of primary cell culture from ascitic fluid and solid tumor obtained from epithelial ovarian carcinoma pa- tients. Int J Gynecol Cancer. 2017;27:2000-5.
  6. Kodack DP, Farago AF, Dastur A, Held MA, Dardaei L, Friboulet L, et al. Primary patient-derived cancer cells and their poten- tial for personalized cancer patient care. Cell Rep. 2017; 21:3298-309.
  7. Tsai MJ, Chang WA, Huang MS, Kuo PL. Tumor microenviron- ment: a new treatment target for cancer. ISRN Biochem. 2014; 2014:351959.
  8. Hayashida Y, Partida GJ, Ishida AT. Dissociation of retinal ganglion cells without enzymes. J Neurosci Methods. 2004;137:25-35.
  9. Cunningham RE. Tissue disaggregation. Methods Mol Biol. 2010;588:327-30.
  10. Quatromoni JG, Singhal S, Bhojnagarwala P, Hancock WW, Albelda SM, Eruslanov E, et al. An optimized disaggregation method for human lung tumors that preserves the phenotype and function of the immune cells. J Leukoc Biol. 2015;97: 201-9.
  11. Li WC, Ralphs KL, Tosh D. Isolation and culture of adult mouse hepatocytes. Methods Mol Biol. 2010;633:185-96.
  12. Pei XF, Noble MS, Davoli MA, Rosfjord E, Tilli MT, Furth PA, et al. Explant-cell culture of primary mammary tumors from MMTV-c-myc transgenic mice. In Vitro Cell Dev Biol Anim. 2004;40:14-21.
  13. Esparza-López J, Ramos-Elías PA, Castro-Sánchez A, Rocha- Zavaleta L, Escobar-Arriaga E, Zentella-Dehesa A, et al. Primary breast cancer cell culture yields intra-tumor heterogeneous sub- populations expressing exclusive patterns of receptor tyrosine kinases. BMC Cancer. 2016;16:740.
  14. Nguyen EV, Centenera MM, Moldovan M, Das R, Irani S, Vincent AD, et al. Identification of novel response and predictive bio- markers to hsp90 inhibitors through proteomic profiling of pa- tient-derived prostate tumor explants. Mol Cell Proteomics. 2018;17:1470-86.
  15. Karekla E, Liao WJ, Sharp B, Pugh J, Reid H, Quesne JL, et al. Ex vivo explant cultures of non-small cell lung carcinoma enable evaluation of primary tumor responses to anticancer therapy. Cancer Res. 2017;77:2029-39.
  16. Singhvi R, Kumar A, Lopez GP, Stephanopoulos GN, Wang DI, Whitesides GM, et al. Engineering cell shape and function. Sci- ence. 1994;264:696-8.
  17. Huh D, Hamilton GA, Ingber DE. From 3D cell culture to organs- on-chips. Trends Cell Biol 2011;21:745-54.
  18. Kelm JM, Timmins NE, Brown CJ, Fussenegger M, Nielsen LK. Method for generation of homogeneous multicellular tumor spheroids applicable to a wide variety of cell types. Biotechnol Bioeng. 2003;83:173-80.
  19. Napolitano AP, Dean DM, Man AJ, Youssef J, Ho DN, Rago AP, et al. Scaffold-free three-dimensional cell culture utilizing micro- molded nonadhesive hydrogels. Biotechniques. 2007;43:494, 496-500.
  20. Gupta N, Liu JR, Patel B, Solomon DE, Vaidya B, Gupta V, et al. Microfluidics-based 3D cell culture models: utility in novel drug discovery and delivery research. Bioeng Transl Med. 2016; 1:63-81.
  21. Benien P, Swami A 3D tumor models: history, advances and future perspectives. Future Oncol. 2014;10:1311-27.
  22. Kim JB. Three-dimensional tissue culture models in cancer biol- ogy. Semin Cancer Biol. 2005;15:365-77.
  23. Burdett E, Kasper FK, Mikos AG, Ludwig JA. Engineering tumors: a tissue engineering perspective in cancer biology. Tissue Eng Part B Rev. 2010;16:351-9.
  24. Kuo CT, Wang JY, Lin YF, Wo AM, Chen BP, Lee H. Three-dimen- sional spheroid culture targeting versatile tissue bioassays using a PDMS-based hanging drop array. Sci Rep. 2017;7:4363.
  25. Fischbach C, Chen R, Matsumoto T, Schmelzle T, Brugge JS, Polverini PJ, et al. Engineering tumors with 3D scaffolds. Nat Methods. 2007;4:855-60.
  26. Park CC, Zhang H, Pallavicini M, Gray JW, Baehner F, Park CJ, et al. Beta1 integrin inhibitory antibody induces apoptosis of breast cancer cells, inhibits growth, and distinguishes malignant from normal phenotype in three dimensional cultures and in vivo. Cancer Res. 2006;66:1526-35.
  27. Weigelt B, Lo AT, Park CC, Gray JW, Bissell MJ. HER2 signaling pathway activation and response of breast cancer cells to HER2- targeting agents is dependent strongly on the 3D microenviron- ment. Breast Cancer Res Treat. 2010;122:35-43.
  28. Gilbert DA, Reid YA, Gail MH, Pee D, White C, Hay RJ, et al. Ap- plication of DNA fingerprints for cell-line individualization. Am J Hum Genet. 1990;47:499-514.
  29. Lavappa KS. Survey of ATCC stocks of human cell lines for heLa contamination. In Vitro. 1978;14:469-75.
  30. Nelson-Rees WA, Flandermeyer RR. Inter and intraspecies con- tamination of human breast tumor cell lines HBC and brCa5 and other cell cultures. Science. 1977;195:1343-4.
  31. Pereira FG, Metze K, Costa FP, Lima CS, Lorand-Metze I. Pheno- typic quantitative features of patients with acute myeloid leu- kemia. Neoplasma. 2006;53:155-60.
  32. Wu DK, de Vellis J. The expression of the intermediate filament- associated protein (NAPA-73) is associated with the stage of terminal differentiation of chick brain neurons. Brain Res. 1987; 421:186-93.
  33. Bochaton-Piallat ML, Gabbiani F, Ropraz P, Gabbiani G. Cul- tured aortic smooth muscle cells from newborn and adult rats show distinct cytoskeletal features. Differentiation. 1992; 49:175-85.
  34. Bignami A, Dahl D, Seiler MW. Neurofilaments in the chick embryo during early development. I. Immunofluorescent study with antisera to neurofilament protein. Dev Neurosci. 1980; 3:151-61.
  35. Grant AG, Duke D, Hermon-Taylor J. Establishment and charac- terization of primary human pancreatic carcinoma in continuous cell culture and in nude mice. Br J Cancer. 1979;39:143-51.
  36. Binétruy B, Heasley L, Bost F, Caron L, Aouadi M. Concise review: regulation of embryonic stem cell lineage commitment by mito- gen-activated protein kinases. Stem Cells. 2007;25:1090-5.
  37. Buckleton JS, Krawczak M, Weir BS. The interpretation of lin- eage markers in forensic DNA testing. Forensic Sci Int Genet. 2011;5:78-83.
  38. Gratzner HG. Monoclonal antibody to 5-bromo-and 5-iodode- oxyuridine: a new reagent for detection of DNA replication. Science. 1982;218:474-5.
  39. Salic A, Mitchison TJ. A chemical method for fast and sensitive detection of DNA synthesis in vivo. Proc Natl Acad Sci U S A. 2008;105:2415-20.
  40. Jones LJ, Gray M, Yue ST, Haugland RP, Singer VL. Sensitive determination of cell number using the cyQUANT cell prolifera- tion assay. J Immunol Methods. 2001;254:85-98.
  41. Moravec RA, Niles AL, Duellman S, Benink HA, Worzella TJ, et al. Cell Viability Assays. 2013 May 1 [Updated 2016 Jul 1]. In: Sittampalam GS, Coussens NP, Brimacombe K, Grossman A, Arkin M, Auld D, et al. Assay Guidance Manual [Internet]. Bethesda (MD): Eli Lilly & Company and the National Center for Advancing Translational Sciences. 2004. Available from: https://www.ncbi.nlm.nih.gov/books/NBK144065/
  42. Mosmann T. Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J Immunol Methods. 1983;65:55-63.
  43. Berridge MV, Herst PM, Tan AS. Tetrazolium dyes as tools in cell biology: new insights into their cellular reduction. Biotechnol Annu Rev. 2005;11:127-52.
  44. Cory AH, Owen TC, Barltrop JA, Cory JG. Use of an aqueous soluble tetrazolium/formazan assay for cell growth assays in culture. Cancer Commun. 1991;3:207-12.
  45. Ahmed SA, Gogal RM Jr., Walsh JE. A new rapid and simple non- radioactive assay to monitor and determine the proliferation of lymphocytes: an alternative to [3H]thymidine incorporation as- say. J Immunol Methods. 1994;170:211-24.
  46. Chen JL, Steele TWJ, Stuckey DC. Metabolic reduction of resa- zurin; location within the cell for cytotoxicity assays. Biotechnol Bioeng. 2018;115:351-8.
  47. Śliwka L, Wiktorska K, Suchocki P, Milczarek M, Mielczarek S, Lubelska K, et al. The comparison of MTT and CVS assays for the assessment of anticancer agent interactions. PLoS One. 2016;11:e155772.
  48. Liang CC, Park AY, Guan JL. In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro. Nat Protoc. 2007;2:329-33.
  49. Jonkman JE, Cathcart JA, Xu F, Bartolini ME, Amon JE, Stevens KM, et al. An introduction to the wound healing assay using live-cell microscopy. Cell Adh Migr. 2014;8:440-51.
  50. Justus CR, Leffler N, Ruiz-Echevarria M, Yang LV. In vitro cell migration and invasion assays. J Vis Exp. 2014;88:51046.
  51. Nguyen LV, Cox CL, Eirew P, Knapp DJ, Pellacani D, Kannan N, et al. DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts. Nat Commun. 2014;5:5871.
  52. Cheung PF, Yip CW, Ng LW, Lo KW, Chow C, Chan KF, et al. Comprehensive characterization of the patient-derived xeno- graft and the paralleled primary hepatocellular carcinoma cell line. Cancer Cell Int. 2016;16:41.
  53. Zhang L, Liu Y, Wang X, Tang Z, Li S, Hu Y, et al. The extent of inflammatory infiltration in primary cancer tissues is associated with lymphomagenesis in immunodeficient mice. Sci Rep. 2015; 5:9447.
  54. Hidalgo M, Amant F, Biankin AV, Budinská E, Byrne AT, Caldas C, et al. Patient-derived xenograft models: an emerging plat- form for translational cancer research. Cancer Discov. 2014; 4:998-1013.
  55. Sereti E, Karagianellou T, Kotsoni I, Magouliotis D, Kamposio- ras K, Ulukaya E, et al. Patient Derived Xenografts (PDX) for personalized treatment of pancreatic cancer: emerging allies in the war on a devastating cancer? J Proteomics. 2018; 188:107-18.
  56. Tellez-Gabriel M, Cochonneau D, Cadé M, Jubellin C, Heymann MF, Heymann D, et al. Circulating tumor cell-derived pre-clinical models for personalized medicine. Cancers (Basel). 2018;11:e19.
  57. Kar R, Sharma C, Sen S, Jain SK, Gupta SD, Singh N, et al. Re- sponse of primary culture of human ovarian cancer cells to chemotherapy: in vitro individualized therapy. J Cancer Res Ther. 2016;12:1050-5.

Cited by

Sorted by citations

See all 20

Metadata

Authors
Esparza-López, J., Martínez-Aguilar, J. F., & Ibarra-Sánchez, M. D. J.
Venue
Revista de Investigación Clínica
Publisher
Elsevier BV
Published
2019-11
Volume
71
Issue
6
Pages
369-380
ISSN
0034-8376 (ISSN-L)
OpenAlex
W2996531947
Cited by
20
References
3
Citations by year
2026: 2 · 2025: 2 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 1
FWCI
0.19
Type
journal article
Language
en
Open access
Locations
  • Revista de investigaci�n Cl�nica (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
Keywords
personalized treatment, drug screening, drug response prediction, tumor heterogeneity, patient-derived cell models
MeSH terms
Humans, Neoplasms, Tumor Cells, Cultured, Cell Culture Techniques, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Deriving Primary Cancer Cell Cultures for Personalized Therapy. https://app.cochat.ai/papers/10.24875/ric.19002832
The paper
Esparza-López, J., Martínez-Aguilar, J. F., & Ibarra-Sánchez, M. D. J. (2019). Deriving Primary Cancer Cell Cultures for Personalized Therapy. Revista de Investigación Clínica. https://doi.org/10.24875/ric.19002832