Skip to main content
Cancer Medicine logoLink to Cancer Medicine
. 2016 Aug 3;5(9):2469–2476. doi: 10.1002/cam4.842

Ultrasound imaging of splenomegaly as a proxy to monitor colon tumor development in Apc min716/+ mice

Andrea Hodgson 1,, Eric M Wier 1,, Kai Fu 1, Xin Sun 1, Fengyi Wan 1,2,
PMCID: PMC5055147  PMID: 27485505

Abstract

Animal models of colon cancer are widely used to understand the molecular mechanisms and pathogenesis of the disease. These animal models require a substantial investment of time and traditionally necessitate the killing of the animal to measure the tumor progression. Several in vivo imaging techniques are being used in both human clinics and preclinical studies, albeit at high cost and requiring particular expertise. Here, we report that the progression of splenomegaly coincides with and positively correlates to colon tumor development in Apc min716/+ mice expressing a mutant gene encoding an adenomatous polyposis coli protein truncated at amino acid 716. Ultrasound image‐based spleen size measurement precisely mirrors splenomegaly development in vivo in the tumor‐laden Apc min716/+ mice. Moreover, the spleen dimensions extracted from the ultrasound sonograms are positively correlated with normalized spleen weight and the number and area of colon tumors. Hence, we propose measuring the spleen size in vivo by ultrasound imaging as a novel approach to estimate splenomegaly development and to indirectly monitor colon tumor development in Apc min716/+ mice. The widespread use of ultrasound machines in the laboratory setting, coupled with the fact that it is a noninvasive method, make it a straightforward and useful tool for monitoring the experimental progress of colon cancer in mice and determining end points without killing animals strictly for diagnostics purposes.

Keywords: Colon tumor, in vivo imaging, splenomegaly, ultrasound

Introduction

Colon cancer is among the most prevalent forms of cancer worldwide and a major cause of cancer death 1, 2, 3, 4, 5, 6. There are several animal models that have been developed to study colon cancer 7, 8, 9, 10, 11, 12, 13, 14, of which the Apc Min/+ mouse model of Familial Adenomatous Polyposis (FAP) is similar in phenotype to the human disease 12, 13. Carrying a truncated allele of the adenomatous polyposis coli (APC) gene, cells within these mice are prone to spontaneously lose the remaining full‐length copy of the oncogenic APC gene, leading to tumor formation. APC regulates the levels and activity of β‐catenin within cells, and upon losing both functional copies of APC gene, the cell experiences constitutive activation of β‐catenin. The following dysregulation of Wnt signaling leads to the expression of proliferative genes 12, 15, 16 and genetically predisposes mice to tumor formation, particularly within the intestinal tract. Along with the accumulation of intestinal and colon tumors, Apc Min/+ mice also develop splenomegaly of yet unknown origin 17, 18, 19. That said, the correlation between splenomegaly and colon tumor development has not been investigated previously. Moreover, splenomegaly has been linked to anemia, which is also detected in these animals; yet, no direct causation has been uncovered.

Monitoring tumor formation in humans relies on the use of scanning technologies including Positron Emission Tomography (PET), X‐ray Computed Tomography (X‐ray CT), Magnetic Resonance Imaging (MRI), and others, most of which have been adapted for use in animal research of disease 4, 14, 20, 21, 22, 23, 24, 25, 26, 27. These procedures are useful in that they provide direct evidence of tumor growth in localized areas albeit costly to do and not widely available. The development of confocal imaging techniques in vivo is advancing the field of colon cancer research for those who have access to the technology providing detailed images of the tissue in question 24. However, the prohibitive cost of obtaining these instruments and setting up these facilities provides to be a significant barrier to those who are interested in examining the general progression of disease in animal models. Furthermore, the injection of dyes, radiolabels, or lentivirus may have subsequent effects on the tumor microenvironment that could result in artifacts if used repeatedly. Alternatively, ultrasound imaging is a noninvasive procedure that can be performed with little manipulation of the subject and provide information regarding the tumor status 28, 29, 30, 31 and is a well‐established and widely‐used imaging technique 28, 32. In this report, we demonstrate that ultrasound imaging of the spleen can be used as a marker to monitor systemic tumor status within the colons of Apc min716/+ mice that express a mutant gene encoding an adenomatous polyposis coli protein truncated at amino acid 716 33, 34. We examined the spleen size and colonic tumor number and load of animals of varying ages and determined that splenomegaly is positively correlated with the tumor development. In this way, we propose that measuring the spleen size in vivo can be utilized as a proxy to determine the degree of tumor formation in Apc min716/+ mice, providing researchers the ability to more easily and noninvasively monitor the colon tumor development in vivo.

Material and Methods

Ethics statement and mice

All animal experiments were performed in accordance with Johns Hopkins University's Animal Care and Use Committee under the protocol MO13H349 and in direct accordance with the NIH guidelines for housing and care of laboratory animals. Apc min716/+ mice 33, 34 were bred using an Apc min716/+ male with wild‐type (Apc +/+) females. Mice were maintained in a specific pathogen‐free facility and fed autoclaved food and water ad libitum.

Colon adenoma staining and quantification

Colon adenoma staining and quantification were performed as previously described 33. Briefly, at the indicated time points, colons were resected under aseptic conditions from indicated mice, washed with ice‐cold PBS, and opened longitudinally. Colon tissues were mounted onto Histoplast PE (Thermo Scientific, Waltham, MA) and fixed in 10% neutral‐buffered formalin (3.7% formaldehyde, 1.2% methanol, 6.5 g/L sodium phosphate dibasic, 4.0 g/L sodium phosphate monobasic) at 25°C overnight, then washed in PBS, and stained with 0.2% (w/v) methylene blue (Sigma‐Aldrich, St. Louis, MO) for 1 h. Tissues were destained with multiple washes with PBS and destaining buffer (30% methanol and 10% acetic acid). Adenomas and aberrant crypt foci, identified as dark blue foci, in the cecum and the colon were counted using a dissection microscope. The tumor number and tumor load (the sum of the size of all tumors) present within the colon in a given mouse were determined as previously described 35.

Spleen weight measurement

At the indicated time points, the body weight of indicated mice was determined prior to killing. After killing the mice, the spleen was gently excised under aseptic conditions, and spleen weight was measured by an analytical balance and normalized to body weight of individual mouse.

Ultrasound imaging of the spleen in vivo and measurement of spleen dimensions

Mice spleens were imaged by ultrasound using a Vevo 770® High‐Resolution Imaging System (VisualSonics, Toronto, Canada) following the manufacturer's instructions. Briefly, all fur was removed from the abdomen of mice using depilatory cream (Nair) and skin was washed with water to remove excess lotion. Mice were maintained anesthetized for the duration of the imaging and a heat lap was kept over the mice at all times to preserve body temperature. With a generous amount of warmed ultrasound gel applied to the skin, the mouse was restrained on the heated imaging platform with surgical tape and ultrasound images were taken of its abdomen using the RMV 704 scanhead. The sonograms were analyzed and the diameter, both along the shortest part as well as the widest part of the spleen, and the area was determined using ImageJ software (National Institutes of Health, Bethesda, MD).

Statistical analyses

All statistical analysis was performed using GraphPad Prism version 6.0 (GraphPad Software, La Jolla, CA). Standard errors of means (S.E.M.) were plotted in graphs. Significant differences were considered: n.s., nonsignificant difference; *< 0.05; **< 0.01; and ***< 0.001 by unpaired Student's t‐test.

Results

Apcmin716/+ mice spontaneously develop colon tumors and splenomegaly

As reported previously 33, Apc min716/+ mice develop a large number of adenomas in the colon and exhibit a reduced life span (~6 months), thus modeling human colon cancer to certain extents. In order to examine the tumor development present within the colon, Apc min716/+ mice and their wild‐type (Apc +/+) littermates were aged according to the schematic in Figure 1A. As conveyed by whole mount methylene blue staining of the colon for aberrant crypt foci that is indicative of neoplastic areas with hyper‐proliferative densely packed cells, Apc min716/+ mice spontaneously developed adenomas between 10 and 20 weeks of age, with majority of adenomas present within the final 2 cm of the distal colon, some in the cecum, and occasionally some within the proximal colon (Fig. 1B–C). In contrast, relatively few aberrant crypt foci were present within the colons of wild‐type Apc +/+ mice (Fig. 1B–C).

Figure 1.

Figure 1

Apc min716/+ mice develop colon tumors and splenomegaly over time. (A) A schematic of the experimental timeline for observing colon tumors and spleen sizes in mice. (B) The colons of 10‐week‐ and 20‐week‐old wild‐type (Apc +/+) and Apc min716/+ mice were resected, stained with methylene blue, and tumors were counted using a dissecting microscope. Ce, cecum; PC, proximal colon; and DC, distal colon. Scale bars, 1 cm. (C) Average tumor numbers from 10‐week‐old Apc +/+ mice (n = 6) and Apc min716/+ mice (n = 6), or 20‐week‐old Apc +/+ mice (n = 4) and Apc min716/+ mice (n = 5) were quantified. (D) The spleens of the 10‐week‐ and 20‐week‐old Apc +/+ and Apc min716/+ mice were resected and imaged. Scale bars, 1 cm. (E) Spleen weight, normalized to body weight, from 10‐week‐old Apc +/+ mice (n = 6) and Apc min716/+ mice (n = 6), or 20‐week‐old Apc +/+ mice (n = 4) and Apc min716/+ mice (n = 5) were quantified. *< 0.05; **< 0.01; ****< 0.0001 by Student's t‐tests.

It was previously reported that the spleens were enlarged in tumor‐laden Apc Min/+ mice 17, 18, 19. Similarly, we observed splenomegaly in Apc min716/+ mice, dramatically increasing with age as demonstrated when spleens were imaged alongside age‐matched Apc +/+ controls (Fig. 1D). There were minor differences in the size of the spleens derived from Apc min716/+ and Apc +/+ mice at 10 weeks old; however, by 20 weeks of age, the spleens of the Apc min716/+ mice increased significantly (Fig. 1E). Of note, there is no statistically significant difference in animal size when examining age‐match Apc +/+ and Apc min716/+ mice (data not shown), which suggests that the differences in spleen size are not caused by an increase in body weight. Instead, the increases in spleen size and tumor burden in aged Apc min716/+ mice may provide additional morphological and pathological markers to evaluate colon tumor development.

Splenomegaly is positively correlated with tumor development in Apcmin716/+ mice

Previous studies reported that splenomegaly was observed in the tumor‐laden Apc Min/+ mice 17, 18, 19; however, the connection between spleen size and tumor progression has not been established. The dramatic changes in tumor burden and spleen size in 20‐week‐old Apc min716/+ mice versus 10‐week‐old ones (Fig. 1B–C) led us to speculate that the increase in spleen size could reflect the tumor development in aged Apc min716/+ mice. We therefore sought to explore the spleen size‐tumor development correlation in Apc min716/+ mice with varying age. As expected, colon adenoma development, as conveyed by tumor number and tumor load, was positively correlated with the age of Apc +/+ and Apc min716/+ mice, albeit the magnitude is far greater for the Apc min716/+ mice (Fig. 2A–B). Interestingly, in line with the spleen size illustrated in the Figure 1C, the spleen weight, normalized to body weight, increased over time in Apc min716/+ mice, whereas the normalized spleen weight in Apc +/+ mice did not change with age (Fig. 2C). Moreover, the increase in splenomegaly is positively correlated with the age of the Apc min716/+ mice, and the divergence in spleen size between Apc +/+ and Apc min716/+ mice started as early as 10 weeks old and became most obvious at the 20‐week time interval (Fig. 2C). The positive correlations between colon tumor development versus mouse age and normalized spleen size versus mouse age strongly suggest that the splenomegaly process could coincide with the tumorigenesis in the Apc min716/+ mice. Indeed, the number of tumors remained positively correlated with the normalized spleen weight in the Apc min716/+ mice regardless of age (Fig. 2D). There was no significant correlation between the tumor number and normalized spleen weight in Apc +/+ controls (Fig. 2D), which is unsurprising given the low abundance of hyperplastic foci staining and the lack of change in spleen size over time in the Apc +/+ animals (Fig. 2A and C). Likewise, colon tumor load followed the same trend as tumor number, which increased and positively correlated with the normalized spleen weight in Apc min716/+ mice (Fig. 2E). These data demonstrate that spleen size, as measured by normalized weight, is predictive of colon tumor development in Apc min716/+ mice.

Figure 2.

Figure 2

Colon tumors and splenomegaly increase with age and are positively correlated in Apc min716/+ mice. The colons and spleens were derived from Apc +/+ and Apc min716/+ mice at the indicated ages and the colons were stained with methylene blue to determine the number and size of colon tumors. (A–C) The tumor number (A), tumor load (B), and spleen weight, normalized to body weight (C) from indicated mice (3–5 mice per group per time point) were plotted against the age. (D–E) Linear regression analysis of the tumor number (D) and tumor load (E) versus normalized spleen weight in Apc +/+ and Apc min716/+ mice.

In vivo ultrasound imaging reliably reveals spleen size and tumor development in Apcmin716/+ mice

The established positive correlation between spleen size and colon tumor number and tumor load in Apc min716/+ mice with varying ages (Fig. 2D–E) suggests that assessing spleen size could serve as an alternative in vivo approach to systemically monitor tumor development in Apc min716/+ mice. We employed ultrasound imaging, a quick and noninvasive technique that provides a cross‐sectional image of a variety of organs including the spleen without requiring the killing of the animal 28, 29, 30, 31. As illustrated by ultrasound images taken from the abdomen of anesthetized animals, the difference in spleen size was noticeable and immediately visible in the sonograms of the 10‐ and 20‐week‐old Apc min716/+ and Apc +/+ mice, respectively (Fig. 3A). To ascertain that spleen sonograms could be used accurately to estimate the physical spleen sizes in vivo, the spleens were resected from the killed mice, after the sonograms were taken, for spleen size and weight measurements. Our results demonstrate that the sonogram image appropriately reflects the size of the spleen derived from each mouse (Fig. 3A), which is further supported by our analyses of spleen sonograms and normalized spleen weight. With the ultrasound machine positioned over the widest region of the spleen, we analyzed the diameters of the shortest part, the widest part, and the area of the spleen from the sonogram images (Fig. 3B). When the dimensions measured from the ultrasound images were plotted against the body weight‐normalized spleen weight, we observed strong positive correlation between the short diameter, wide diameter, and area of the spleen and the physical spleen weight (Fig. 3C–E), supporting the use of the ultrasound imaging to reliably measure the spleen size in mice in vivo. Moreover, consistent with the linear correlation between the normalized spleen weight and colon tumor number and load (Fig. 2D–E), the dimensions measured from the spleen ultrasound images were also positively correlated with colon tumor development, with both tumor number and tumor load, in the killed Apc min716/+ and Apc +/+ mice after sonograms were completed (data not shown). Hence, imaging the spleen size in vivo by ultrasound may serve as a unique tool to monitor and estimate the colon tumor development in Apc min716/+ mice.

Figure 3.

Figure 3

Dimensions of spleens from ultrasound images are correlated with spleen weight. (A) Ultrasound cross‐sections of spleens were imaged in vivo from 10‐week‐ and 20‐week‐old Apc +/+ and Apc min716/+ mice, upper panels. After ultrasound imaging was completed, mice were killed and the spleens were resected and imaged, bottom panels. (B) A schematic of the measurements of short diameter, wide diameter, and area of the spleen taken from the ultrasound images. (C–E) Linear regression analysis of the spleen short diameter (C), wide diameter (D), and spleen area (E) versus the normalized spleen weight in Apc +/+ (n = 4) and Apc min716/+ (n = 5) mice.

Discussion

Splenomegaly has been recognized in the tumor‐laden Apc Min/+ mice 17, 18, 19; however, the etiology of splenomegaly and the relationship between spleen enlargement and tumor formation and progress are not fully understood. Here, we reveal a positive correlation between the degree of colon tumor development and the extent of the splenomegaly in Apc min716/+ mouse model of colon cancer. As expected, the number and load of colon tumors spontaneously increases in Apc min716/+ mice over time, which most likely facilitates the accumulation of further mutations and the complete loss of Apc gene activity. Interestingly, in parallel to the increased number and load of colon tumors, the dimensions and weight of the spleen increased in Apc min716/+ mice of varying ages, which is unrelated to the animals' body weight growth over time. The divergence between the spleen size from Apc +/+ and Apc min716/+ mice is exhibited more profoundly in older animals where colon tumors are fully developed. The significance of the correlation between splenomegaly and tumor development in Apc min716/+ mice across ages provides the rationale for measuring spleen size as a novel approach to monitor colon tumor development in vivo.

Cancer development is believed to be a chronic and gradual process, with the formation and progression of tumors needing substantial amount of time. Hence, monitoring tumor development in cancer animal models requires striking a careful balance between allowing enough time for tumor growth and capturing the best time windows to reach biological significance. This makes the study of internal cancers particularly challenging without access to methods to observe tumor progression directly. The advancement in imaging techniques and tools has bettered our understanding of the molecular events surrounding tumor formation and progression 4, 20, 22, 24, 25, 26. For instance, endoscopy and colonoscopy procedures have been widely used to image and monitor colon tumor development in vivo in both clinical application and preclinical studies 36, 37. However, these procedures will not allow imaging of the entire intestinal tract beyond the local tumor development in the distal colon, thus reflecting local, rather than systemic, tumorigenesis. Moreover, the cost and expertise required for the endoscopy and colonoscopy procedures prevent their widespread use. Here, our study suggests that ultrasound imaging of the spleen could be used as a proxy to monitor the general level of tumor formation within the animal. It is noteworthy that ultrasound imaging of the spleen, as a noninvasive, can be done repeatedly without detrimental effects on the animal and images can be used to determine the growth of the spleen, which is positively correlated with tumor development over time. The ease and time required to take ultrasound images of experimental mice is minimal compared to the time invested in repeating experiments when animals were killed at suboptimal time windows to observe differences in tumor formation. Although this technique does not provide a detailed record of the internal microenvironment, it could serve as an indicator of the general tumor environment within individual mice. Ultrasound imaging is already an extensively used and well‐established technique in many research institutes that can be co‐opted for determining the progression of colon cancer in mouse models of the disease.

Conflict of Interest

None declared.

Acknowledgments

We thank Drs. Cynthia Sears, Kenneth Kinzler, and Bert Vogelstein for sharing Apc min716/+ mice; Mariah Klunk for help and discussion with ultrasound imaging in mice; and Pierre Coulombe for use of equipment. A.H. and E.M.W. are Johns Hopkins Sommer Scholars. This work was supported in part by Research Scholar Grant RSG‐13‐052‐01‐MPC from the American Cancer Society (F.W.), and grants GM111682 (F.W.) and CA009110 (E.M.W.) from the National Institutes of Health.

Cancer Medicine 2016; 5(9):2469–2476

References

  • 1. Sharma, P. , Gupta N., Kuipers E. J., Repici A., and Wallace M.. 2014. Advanced imaging in colonoscopy and its impact on quality. Gastrointest. Endosc. 79:28–36. [DOI] [PubMed] [Google Scholar]
  • 2. DeSantis, C. E. , Lin C. C., Mariotto A. B., Siegel R. L., Stein K. D., Kramer J. L., et al. 2014. Cancer treatment and survivorship statistics, 2014. CA Cancer J. Clin. 64:252–271. [DOI] [PubMed] [Google Scholar]
  • 3. Jemal, A. , Center M. M., DeSantis C., and Ward E. M.. 2010. Global patterns of cancer incidence and mortality rates and trends. Cancer Epidemiol. Biomarkers Prev. 19:1893–1907. [DOI] [PubMed] [Google Scholar]
  • 4. Labianca, R. , and Merelli B.. 2010. Screening and diagnosis for colorectal cancer: present and future. Tumori 96:889–901. [PubMed] [Google Scholar]
  • 5. Marti, J. , Hall P. S., Hamilton P., Hulme C. T., Jones H., Velikova G., et al. 2015. The economic burden of cancer in the UK: a study of survivors treated with curative intent. Psychooncology 25:77–83. [DOI] [PubMed] [Google Scholar]
  • 6. Fedewa, S. A. , Sauer A. G., Siegel R. L., and Jemal A.. 2015. Prevalence of major risk factors and use of screening tests for cancer in the United States. Cancer Epidemiol. Biomarkers Prev. 24:637–652. [DOI] [PubMed] [Google Scholar]
  • 7. Wirtz, S. , and Neurath M. F.. 2000. Animal models of intestinal inflammation: new insights into the molecular pathogenesis and immunotherapy of inflammatory bowel disease. Int. J. Colorectal Dis. 15:144–160. [DOI] [PubMed] [Google Scholar]
  • 8. Suzui, M. , Morioka T., and Yoshimi N.. 2013. Colon preneoplastic lesions in animal models. J. Toxicol. Pathol. 26:335–341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Antoniou, E. , Margonis G. A., Angelou A., Zografos G. C., and Pikoulis E.. 2015. Cytokine networks in animal models of colitis‐associated cancer. Anticancer Res. 35:19–24. [PubMed] [Google Scholar]
  • 10. Terracina, K. P. , Aoyagi T., Huang W. C., Nagahashi M., Yamada A., Aoki K., et al. 2015. Development of a metastatic murine colon cancer model. J. Surg. Res. 199:106–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Corpet, D. E. , and Pierre F.. 2005. How good are rodent models of carcinogenesis in predicting efficacy in humans? A systematic review and meta‐analysis of colon chemoprevention in rats, mice and men. Eur. J. Cancer 41:1911–1922. [DOI] [PubMed] [Google Scholar]
  • 12. McCart, A. E. , Vickaryous N. K., and Silver A.. 2008. Apc mice: models, modifiers and mutants. Pathol. Res. Pract. 204:479–490. [DOI] [PubMed] [Google Scholar]
  • 13. Yamada, Y. , and Mori H.. 2007. Multistep carcinogenesis of the colon in Apc(Min/+) mouse. Cancer Sci. 98:6–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Roper, J. , and Hung K. E.. 2012. Priceless GEMMs: genetically engineered mouse models for colorectal cancer drug development. Trends Pharmacol. Sci. 33:449–455. [DOI] [PubMed] [Google Scholar]
  • 15. He, T. C. , Sparks A. B., Rago C., Hermeking H., Zawel L., da Costa L. T., et al. 1998. Identification of c‐MYC as a target of the APC pathway. Science 281:1509–1512. [DOI] [PubMed] [Google Scholar]
  • 16. Tetsu, O. , and McCormick F.. 1999. Beta‐catenin regulates expression of cyclin D1 in colon carcinoma cells. Nature 398:422–426. [DOI] [PubMed] [Google Scholar]
  • 17. Chae, W. J. , and Bothwell A. L.. 2011. IL‐17F deficiency inhibits small intestinal tumorigenesis in ApcMin/+ mice. Biochem. Biophys. Res. Commun. 414:31–36. [DOI] [PubMed] [Google Scholar]
  • 18. Li, Q. , Lohr C. V., and Dashwood R. H.. 2009. Activator protein 2alpha suppresses intestinal tumorigenesis in the Apc(min) mouse. Cancer Lett. 283:36–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Qadri, S. M. , Mahmud H., Lang E., Gu S., Bobbala D., Zelenak C., et al. 2012. Enhanced suicidal erythrocyte death in mice carrying a loss‐of‐function mutation of the adenomatous polyposis coli gene. J. Cell Mol. Med. 16:1085–1093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Mielke, L. , Preaudet A., Belz G., and Putoczki T.. 2015. Confocal laser endomicroscopy to monitor the colonic mucosa of mice. J. Immunol. Methods 421:81–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Alencar, H. , Funovics M. A., Figueiredo J., Sawaya H., Weissleder R., and Mahmood U.. 2007. Colonic adenocarcinomas: near‐infrared microcatheter imaging of smart probes for early detection–study in mice. Radiology 244:232–238. [DOI] [PubMed] [Google Scholar]
  • 22. Becker, C. , Fantini M. C., Wirtz S., Nikolaev A., Kiesslich R., Lehr H. A., et al. 2005. In vivo imaging of colitis and colon cancer development in mice using high resolution chromoendoscopy. Gut 54:950–954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Deane, N. G. , Manning H. C., Foutch A. C., Washington M. K., Aronow B. J., Bornhop D. J., et al. 2007. Targeted imaging of colonic tumors in smad3‐/‐ mice discriminates cancer and inflammation. Mol. Cancer Res. 5:341–349. [DOI] [PubMed] [Google Scholar]
  • 24. Waldner, M. J. , Wirtz S., Neufert C., Becker C., and Neurath M. F.. 2011. Confocal laser endomicroscopy and narrow‐band imaging‐aided endoscopy for in vivo imaging of colitis and colon cancer in mice. Nat. Protoc. 6:1471–1481. [DOI] [PubMed] [Google Scholar]
  • 25. Walldorf, J. , Hermann M., Porzner M., Pohl S., Metz H., Mader K., et al. 2015. In‐vivo monitoring of acute DSS‐Colitis using Colonoscopy, high resolution Ultrasound and bench‐top Magnetic Resonance Imaging in Mice. Eur. Radiol. 25:2984–2991. [DOI] [PubMed] [Google Scholar]
  • 26. Wolfe, H. R. , Mendizabal M., Lleong E., Cuthbertson A., Desai V., Pullan S., et al. 2002. In vivo imaging of human colon cancer xenografts in immunodeficient mice using a guanylyl cyclase C–specific ligand. J. Nucl. Med. 43:392–399. [PubMed] [Google Scholar]
  • 27. Xia, J. , and Wang L. V.. 2014. Small‐animal whole‐body photoacoustic tomography: a review. IEEE Trans. Biomed. Eng. 61:1380–1389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Hyvelin, J. M. , Tardy I., Arbogast C., Costa M., Emmel P., Helbert A., et al. 2013. Use of ultrasound contrast agent microbubbles in preclinical research: recommendations for small animal imaging. Invest. Radiol. 48:570–583. [DOI] [PubMed] [Google Scholar]
  • 29. Kramer‐Marek, G. , Gore J., and Korc M.. 2013. Molecular imaging in pancreatic cancer–a roadmap for therapeutic decisions. Cancer Lett. 341:132–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Wang, T. Y. , Choe J. W., Pu K., Devulapally R., Bachawal S., Machtaler S., et al. 2015. Ultrasound‐guided delivery of microRNA loaded nanoparticles into cancer. J. Control Release 203:99–108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Wang, H. , Kaneko O. F., Tian L., Hristov D., and Willmann J. K.. 2015. Three‐dimensional ultrasound molecular imaging of angiogenesis in colon cancer using a clinical matrix array ultrasound transducer. Invest. Radiol. 50:322–329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Hanton, G. , Eder V., Rochefort G., Bonnet P., and Hyvelin J. M.. 2008. Echocardiography, a non‐invasive method for the assessment of cardiac function and morphology in preclinical drug toxicology and safety pharmacology. Expert Opin. Drug Metab. Toxicol. 4:681–696. [DOI] [PubMed] [Google Scholar]
  • 33. Wu, S. , Rhee K. J., Albesiano E., Rabizadeh S., Wu X., Yen H. R., et al. 2009. A human colonic commensal promotes colon tumorigenesis via activation of T helper type 17 T cell responses. Nat. Med. 15:1016–1022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Su, L. K. , Kinzler K. W., Vogelstein B., Preisinger A. C., Moser A. R., Luongo C., et al. 1992. Multiple intestinal neoplasia caused by a mutation in the murine homolog of the APC gene. Science 256:668–670. [DOI] [PubMed] [Google Scholar]
  • 35. Grivennikov, S. I. , Wang K., Mucida D., Stewart C. A., Schnabl B., Jauch D., et al. 2012. Adenoma‐linked barrier defects and microbial products drive IL‐23/IL‐17‐mediated tumour growth. Nature 491:254–258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Bacolod, M. D. , and Barany F.. 2011. Molecular profiling of colon tumors: the search for clinically relevant biomarkers of progression, prognosis, therapeutics, and predisposition. Ann. Surg. Oncol. 18:3694–3700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Kodani, T. , Rodriguez‐Palacios A., Corridoni D., Lopetuso L., Di Martino L., Marks B., et al. 2013. Flexible colonoscopy in mice to evaluate the severity of colitis and colorectal tumors using a validated endoscopic scoring system. J. Vis. Exp. 80:e50843. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cancer Medicine are provided here courtesy of Wiley

RESOURCES