Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 68 entries
Sorted by: Best Match Show Resources per page
Cancer cachexia: muscle physiology and exercise training.

Cancers

Battaglini CL, Hackney AC, Goodwin ML.
PMID: 24310358
Cancers (Basel). 2012 Nov 29;4(4):1247-51. doi: 10.3390/cancers4041247.

Cachexia in cancer patients is a condition marked by severe tissue wasting and a myriad of quality of life and health consequences. Cachexia is also directly linked to the issues of morbidity and survivability in cancer patients. Therapeutic means...

Cite
Battaglini CL, Hackney AC, Goodwin ML. Cancer cachexia: muscle physiology and exercise training. Cancers (Basel). 2012;4(4):1247-51doi: 10.3390/cancers4041247.
Battaglini, C. L., Hackney, A. C., & Goodwin, M. L. (2012). Cancer cachexia: muscle physiology and exercise training. Cancers, 4(4), 1247-51. https://doi.org/10.3390/cancers4041247
Battaglini, Claudio L, et al. "Cancer cachexia: muscle physiology and exercise training." Cancers vol. 4,4 (2012): 1247-51. doi: https://doi.org/10.3390/cancers4041247
Battaglini CL, Hackney AC, Goodwin ML. Cancer cachexia: muscle physiology and exercise training. Cancers (Basel). 2012 Nov 29;4(4):1247-51. doi: 10.3390/cancers4041247. PMID: 24310358; PMCID: PMC3722598.
Copy Download .nbib Format: NLM
Proper Use of Allele-Specific Expression Improves Statistical Power for .

Journal of the American Statistical Association

Hu YJ, Sun W, Tzeng JY, Perou CM.
PMID: 26568645
J Am Stat Assoc. 2015;110(511):962-974. doi: 10.1080/01621459.2015.1038449. Epub 2015 Nov 07.

Studies of expression quantitative trait loci (eQTLs) offer insight into the molecular mechanisms of loci that were found to be associated with complex diseases and the mechanisms can be classified into

Cite
Hu YJ, Sun W, Tzeng JY, et al. Proper Use of Allele-Specific Expression Improves Statistical Power for . J Am Stat Assoc. 2015;110(511):962-974doi: 10.1080/01621459.2015.1038449.
Hu, Y. J., Sun, W., Tzeng, J. Y., & Perou, C. M. (2015). Proper Use of Allele-Specific Expression Improves Statistical Power for . Journal of the American Statistical Association, 110(511), 962-974. https://doi.org/10.1080/01621459.2015.1038449
Hu, Yi-Juan, et al. "Proper Use of Allele-Specific Expression Improves Statistical Power for ." Journal of the American Statistical Association vol. 110,511 (2015): 962-974. doi: https://doi.org/10.1080/01621459.2015.1038449
Hu YJ, Sun W, Tzeng JY, Perou CM. Proper Use of Allele-Specific Expression Improves Statistical Power for . J Am Stat Assoc. 2015;110(511):962-974. doi: 10.1080/01621459.2015.1038449. Epub 2015 Nov 07. PMID: 26568645; PMCID: PMC4642818.
Copy Download .nbib Format: NLM
The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies.

International journal of molecular epidemiology and genetics

Hodgson ME, Olshan AF, North KE, Poole CL, Zeng D, Tse CK, Keku TO, Galanko J, Sandler R, Millikan RC.
PMID: 23205185
Int J Mol Epidemiol Genet. 2012;3(4):333-60. Epub 2012 Nov 15.

The independence assumption for a case-only analysis of statistical interaction, i. e. that genetic (G) and environmental exposures (E) are not associated in the source population, is often checked in surrogate populations. Few studies have examined G-E association in...

Cite
Hodgson ME, Olshan AF, North KE, et al. The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. Int J Mol Epidemiol Genet. 2012;3(4):333-60
Hodgson, M. E., Olshan, A. F., North, K. E., Poole, C. L., Zeng, D., Tse, C. K., Keku, T. O., Galanko, J., Sandler, R., & Millikan, R. C. (2012). The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. International journal of molecular epidemiology and genetics, 3(4), 333-60.
Hodgson, M Elizabeth, et al. "The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies." International journal of molecular epidemiology and genetics vol. 3,4 (2012): 333-60.
Hodgson ME, Olshan AF, North KE, Poole CL, Zeng D, Tse CK, Keku TO, Galanko J, Sandler R, Millikan RC. The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies. Int J Mol Epidemiol Genet. 2012;3(4):333-60. Epub 2012 Nov 15. PMID: 23205185; PMCID: PMC3508536.
Copy Download .nbib Format: NLM
CRISPR-based knock-in mutagenesis of the pioneer transcription factor FOXA1: optimization of strategies for multi-allelic proteins in cancer cells.

FEBS open bio

Li S, Garay JP, Tubbs CA, Franco HL.
PMID: 33666335
FEBS Open Bio. 2021 Jun;11(6):1537-1551. doi: 10.1002/2211-5463.13139. Epub 2021 Mar 20.

Precise genome engineering of living cells has been revolutionized by the introduction of the highly specific and easily programmable properties of the clustered regularly interspaced short palindromic repeats (CRISPR) technology. This has greatly accelerated research into human health and...

Cite
Li S, Garay JP, Tubbs CA, et al. CRISPR-based knock-in mutagenesis of the pioneer transcription factor FOXA1: optimization of strategies for multi-allelic proteins in cancer cells. FEBS Open Bio. 2021;11(6):1537-1551doi: 10.1002/2211-5463.13139.
Li, S., Garay, J. P., Tubbs, C. A., & Franco, H. L. (2021). CRISPR-based knock-in mutagenesis of the pioneer transcription factor FOXA1: optimization of strategies for multi-allelic proteins in cancer cells. FEBS open bio, 11(6), 1537-1551. https://doi.org/10.1002/2211-5463.13139
Li, Shen, et al. "CRISPR-based knock-in mutagenesis of the pioneer transcription factor FOXA1: optimization of strategies for multi-allelic proteins in cancer cells." FEBS open bio vol. 11,6 (2021): 1537-1551. doi: https://doi.org/10.1002/2211-5463.13139
Li S, Garay JP, Tubbs CA, Franco HL. CRISPR-based knock-in mutagenesis of the pioneer transcription factor FOXA1: optimization of strategies for multi-allelic proteins in cancer cells. FEBS Open Bio. 2021 Jun;11(6):1537-1551. doi: 10.1002/2211-5463.13139. Epub 2021 Mar 20. PMID: 33666335; PMCID: PMC8167868.
Copy Download .nbib Format: NLM
TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA.
PMID: 34737209
Cancer Epidemiol Biomarkers Prev. 2022 Jan;31(1):124-131. doi: 10.1158/1055-9965.EPI-21-0661. Epub 2021 Nov 04.

BACKGROUND: TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER...

Cite
Hurson AN, Abubakar M, Hamilton AM, et al. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev. 2021;31(1):124-131doi: 10.1158/1055-9965.EPI-21-0661.
Hurson, A. N., Abubakar, M., Hamilton, A. M., Conway, K., Hoadley, K. A., Love, M. I., Olshan, A. F., Perou, C. M., Garcia-Closas, M., & Troester, M. A. (2022). TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 31(1), 124-131. https://doi.org/10.1158/1055-9965.EPI-21-0661
Hurson, Amber N, et al. "TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 31,1 (2022): 124-131. doi: https://doi.org/10.1158/1055-9965.EPI-21-0661
Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev. 2022 Jan;31(1):124-131. doi: 10.1158/1055-9965.EPI-21-0661. Epub 2021 Nov 04. PMID: 34737209.
Copy Download .nbib Format: NLM
Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study.

Current breast cancer reports

Emerson MA, Reeder-Hayes KE, Tipaldos HJ, Bell ME, Sweeney MR, Carey LA, Earp HS, Olshan AF, Troester MA.
PMID: 33815665
Curr Breast Cancer Rep. 2020 Sep;12(3):149-160. doi: 10.1007/s12609-020-00365-0. Epub 2020 May 14.

PURPOSE OF REVIEW: To review research on breast cancer mortality disparities, emphasizing research conducted in the Carolina Breast Cancer Study, with a focus on challenges and opportunities for integration of tumor biology and access characteristics across the cancer care...

Cite
Emerson MA, Reeder-Hayes KE, Tipaldos HJ, et al. Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study. Curr Breast Cancer Rep. 2020;12(3):149-160doi: 10.1007/s12609-020-00365-0.
Emerson, M. A., Reeder-Hayes, K. E., Tipaldos, H. J., Bell, M. E., Sweeney, M. R., Carey, L. A., Earp, H. S., Olshan, A. F., & Troester, M. A. (2020). Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study. Current breast cancer reports, 12(3), 149-160. https://doi.org/10.1007/s12609-020-00365-0
Emerson, Marc A, et al. "Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study." Current breast cancer reports vol. 12,3 (2020): 149-160. doi: https://doi.org/10.1007/s12609-020-00365-0
Emerson MA, Reeder-Hayes KE, Tipaldos HJ, Bell ME, Sweeney MR, Carey LA, Earp HS, Olshan AF, Troester MA. Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study. Curr Breast Cancer Rep. 2020 Sep;12(3):149-160. doi: 10.1007/s12609-020-00365-0. Epub 2020 May 14. PMID: 33815665; PMCID: PMC8011652.
Copy Download .nbib Format: NLM
Hepatocyte growth factor pathway expression in breast cancer by race and subtype.

Breast cancer research : BCR

Jones GS, Hoadley KA, Olsson LT, Hamilton AM, Bhattacharya A, Kirk EL, Tipaldos HJ, Fleming JM, Love MI, Nichols HB, Olshan AF, Troester MA.
PMID: 34344422
Breast Cancer Res. 2021 Aug 03;23(1):80. doi: 10.1186/s13058-021-01460-5.

BACKGROUND: African American women have the highest risk of breast cancer mortality compared to other racial groups. Differences in tumor characteristics have been implicated as a possible cause; however, the tumor microenvironment may also contribute to this disparity in...

Cite
Jones GS, Hoadley KA, Olsson LT, et al. Hepatocyte growth factor pathway expression in breast cancer by race and subtype. Breast Cancer Res. 2021;23(1):80doi: 10.1186/s13058-021-01460-5.
Jones, G. S., Hoadley, K. A., Olsson, L. T., Hamilton, A. M., Bhattacharya, A., Kirk, E. L., Tipaldos, H. J., Fleming, J. M., Love, M. I., Nichols, H. B., Olshan, A. F., & Troester, M. A. (2021). Hepatocyte growth factor pathway expression in breast cancer by race and subtype. Breast cancer research : BCR, 23(1), 80. https://doi.org/10.1186/s13058-021-01460-5
Jones, Gieira S, et al. "Hepatocyte growth factor pathway expression in breast cancer by race and subtype." Breast cancer research : BCR vol. 23,1 (2021): 80. doi: https://doi.org/10.1186/s13058-021-01460-5
Jones GS, Hoadley KA, Olsson LT, Hamilton AM, Bhattacharya A, Kirk EL, Tipaldos HJ, Fleming JM, Love MI, Nichols HB, Olshan AF, Troester MA. Hepatocyte growth factor pathway expression in breast cancer by race and subtype. Breast Cancer Res. 2021 Aug 03;23(1):80. doi: 10.1186/s13058-021-01460-5. PMID: 34344422; PMCID: PMC8336233.
Copy Download .nbib Format: NLM
Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer.

Cancer research

Patel A, García-Closas M, Olshan AF, Perou CM, Troester MA, Love MI, Bhattacharya A.
PMID: 34711612
Cancer Res. 2022 Jan 01;82(1):25-35. doi: 10.1158/0008-5472.CAN-21-1207. Epub 2021 Oct 28.

Continuous risk of recurrence scores (CRS) based on tumor gene expression are vital prognostic tools for breast cancer. Studies have shown that Black women (BW) have higher CRS than White women (WW). Although systemic injustices contribute substantially to breast...

Cite
Patel A, García-Closas M, Olshan AF, et al. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer Res. 2021;82(1):25-35doi: 10.1158/0008-5472.CAN-21-1207.
Patel, A., García-Closas, M., Olshan, A. F., Perou, C. M., Troester, M. A., Love, M. I., & Bhattacharya, A. (2022). Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer research, 82(1), 25-35. https://doi.org/10.1158/0008-5472.CAN-21-1207
Patel, Achal, et al. "Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer." Cancer research vol. 82,1 (2022): 25-35. doi: https://doi.org/10.1158/0008-5472.CAN-21-1207
Patel A, García-Closas M, Olshan AF, Perou CM, Troester MA, Love MI, Bhattacharya A. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer Res. 2022 Jan 01;82(1):25-35. doi: 10.1158/0008-5472.CAN-21-1207. Epub 2021 Oct 28. PMID: 34711612; PMCID: PMC8732329.
Copy Download .nbib Format: NLM
Receiver operating characteristic curves and confidence bands for support vector machines.

Biometrics

Luckett DJ, Laber EB, El-Kamary SS, Fan C, Jhaveri R, Perou CM, Shebl FM, Kosorok MR.
PMID: 32865820
Biometrics. 2021 Dec;77(4):1422-1430. doi: 10.1111/biom.13365. Epub 2020 Sep 12.

Many problems that appear in biomedical decision-making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The support vector machine (SVM) is a popular classification technique that is robust to model misspecification...

Cite
Luckett DJ, Laber EB, El-Kamary SS, et al. Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics. 2020;77(4):1422-1430doi: 10.1111/biom.13365.
Luckett, D. J., Laber, E. B., El-Kamary, S. S., Fan, C., Jhaveri, R., Perou, C. M., Shebl, F. M., & Kosorok, M. R. (2021). Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics, 77(4), 1422-1430. https://doi.org/10.1111/biom.13365
Luckett, Daniel J, et al. "Receiver operating characteristic curves and confidence bands for support vector machines." Biometrics vol. 77,4 (2021): 1422-1430. doi: https://doi.org/10.1111/biom.13365
Luckett DJ, Laber EB, El-Kamary SS, Fan C, Jhaveri R, Perou CM, Shebl FM, Kosorok MR. Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics. 2021 Dec;77(4):1422-1430. doi: 10.1111/biom.13365. Epub 2020 Sep 12. PMID: 32865820; PMCID: PMC7914290.
Copy Download .nbib Format: NLM
A multi-omic single-cell landscape of human gynecologic malignancies.

Molecular cell

Regner MJ, Wisniewska K, Garcia-Recio S, Thennavan A, Mendez-Giraldez R, Malladi VS, Hawkins G, Parker JS, Perou CM, Bae-Jump VL, Franco HL.
PMID: 34739872
Mol Cell. 2021 Dec 02;81(23):4924-4941.e10. doi: 10.1016/j.molcel.2021.10.013. Epub 2021 Nov 04.

Deconvolution of regulatory mechanisms that drive transcriptional programs in cancer cells is key to understanding tumor biology. Herein, we present matched transcriptome (scRNA-seq) and chromatin accessibility (scATAC-seq) profiles at single-cell resolution from human ovarian and endometrial tumors processed immediately...

Cite
Regner MJ, Wisniewska K, Garcia-Recio S, et al. A multi-omic single-cell landscape of human gynecologic malignancies. Mol Cell. 2021;81(23):4924-4941.e10doi: 10.1016/j.molcel.2021.10.013.
Regner, M. J., Wisniewska, K., Garcia-Recio, S., Thennavan, A., Mendez-Giraldez, R., Malladi, V. S., Hawkins, G., Parker, J. S., Perou, C. M., Bae-Jump, V. L., & Franco, H. L. (2021). A multi-omic single-cell landscape of human gynecologic malignancies. Molecular cell, 81(23), 4924-4941.e10. https://doi.org/10.1016/j.molcel.2021.10.013
Regner, Matthew J, et al. "A multi-omic single-cell landscape of human gynecologic malignancies." Molecular cell vol. 81,23 (2021): 4924-4941.e10. doi: https://doi.org/10.1016/j.molcel.2021.10.013
Regner MJ, Wisniewska K, Garcia-Recio S, Thennavan A, Mendez-Giraldez R, Malladi VS, Hawkins G, Parker JS, Perou CM, Bae-Jump VL, Franco HL. A multi-omic single-cell landscape of human gynecologic malignancies. Mol Cell. 2021 Dec 02;81(23):4924-4941.e10. doi: 10.1016/j.molcel.2021.10.013. Epub 2021 Nov 04. PMID: 34739872; PMCID: PMC8642316.
Copy Download .nbib Format: NLM
ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer.

Nature cancer

Deng J, Thennavan A, Dolgalev I, Chen T, Li J, Marzio A, Poirier JT, Peng D, Bulatovic M, Mukhopadhyay S, Silver H, Papadopoulos E, Pyon V, Thakurdin C, Han H, Li F, Li S, Ding H, Hu H, Pan Y, Weerasekara V, Jiang B, Wang ES, Ahearn I, Philips M, Papagiannakopoulos T, Tsirigos A, Rothenberg E, Gainor J, Freeman GJ, Rudin CM, Gray NS, Hammerman PS, Pagano M, Heymach JV, Perou CM, Bardeesy N, Wong KK.
PMID: 34142094
Nat Cancer. 2021 May;2(5):503-514. doi: 10.1038/s43018-021-00208-6. Epub 2021 May 17.

No abstract available.

Cite
Deng J, Thennavan A, Dolgalev I, et al. ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer. Nat Cancer. 2021;2(5):503-514doi: 10.1038/s43018-021-00208-6.
Deng, J., Thennavan, A., Dolgalev, I., Chen, T., Li, J., Marzio, A., Poirier, J. T., Peng, D., Bulatovic, M., Mukhopadhyay, S., Silver, H., Papadopoulos, E., Pyon, V., Thakurdin, C., Han, H., Li, F., Li, S., Ding, H., Hu, H., Pan, Y., Weerasekara, V., Jiang, B., Wang, E. S., Ahearn, I., Philips, M., Papagiannakopoulos, T., Tsirigos, A., Rothenberg, E., Gainor, J., Freeman, G. J., Rudin, C. M., Gray, N. S., Hammerman, P. S., Pagano, M., Heymach, J. V., Perou, C. M., Bardeesy, N., & Wong, K. K. (2021). ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer. Nature cancer, 2(5), 503-514. https://doi.org/10.1038/s43018-021-00208-6
Deng, Jiehui, et al. "ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer." Nature cancer vol. 2,5 (2021): 503-514. doi: https://doi.org/10.1038/s43018-021-00208-6
Deng J, Thennavan A, Dolgalev I, Chen T, Li J, Marzio A, Poirier JT, Peng D, Bulatovic M, Mukhopadhyay S, Silver H, Papadopoulos E, Pyon V, Thakurdin C, Han H, Li F, Li S, Ding H, Hu H, Pan Y, Weerasekara V, Jiang B, Wang ES, Ahearn I, Philips M, Papagiannakopoulos T, Tsirigos A, Rothenberg E, Gainor J, Freeman GJ, Rudin CM, Gray NS, Hammerman PS, Pagano M, Heymach JV, Perou CM, Bardeesy N, Wong KK. ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer. Nat Cancer. 2021 May;2(5):503-514. doi: 10.1038/s43018-021-00208-6. Epub 2021 May 17. PMID: 34142094; PMCID: PMC8205437.
Copy Download .nbib Format: NLM
Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers.

Cancer research

Liao C, Glodowski CR, Fan C, Liu J, Mott KR, Kaushik A, Vu H, Locasale JW, McBrayer SK, DeBerardinis RJ, Perou CM, Zhang Q.
PMID: 34911787
Cancer Res. 2021 Dec 15; doi: 10.1158/0008-5472.CAN-21-2745. Epub 2021 Dec 15.

Metabolic dysregulation is a prominent feature in breast cancer, but it remains poorly characterized in patient tumors. In this study, untargeted metabolomics analysis of triple-negative breast cancer (TNBC) and estrogen receptor (ER)-positive breast cancer patient samples, as well as...

Cite
Liao C, Glodowski CR, Fan C, et al. Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers. Cancer Res. 2021;doi: 10.1158/0008-5472.CAN-21-2745.
Liao, C., Glodowski, C. R., Fan, C., Liu, J., Mott, K. R., Kaushik, A., Vu, H., Locasale, J. W., McBrayer, S. K., DeBerardinis, R. J., Perou, C. M., & Zhang, Q. (2021). Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers. Cancer research, . https://doi.org/10.1158/0008-5472.CAN-21-2745
Liao, Chengheng, et al. "Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers." Cancer research vol. (2021). doi: https://doi.org/10.1158/0008-5472.CAN-21-2745
Liao C, Glodowski CR, Fan C, Liu J, Mott KR, Kaushik A, Vu H, Locasale JW, McBrayer SK, DeBerardinis RJ, Perou CM, Zhang Q. Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers. Cancer Res. 2021 Dec 15; doi: 10.1158/0008-5472.CAN-21-2745. Epub 2021 Dec 15. PMID: 34911787.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 68 entries