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Low Dose Total Body Irradiation Combined With Recombinant CD19-Ligand × Soluble TRAIL Fusion Protein is Highly Effective Against Radiation-Resistant B-Precursor Acute Lymphoblastic Leukemia in Mice.

EBioMedicine

Uckun FM, Myers DE, Ma H, Rose R, Qazi S.
PMID: 26097891
EBioMedicine. 2015 Apr;2(4):306-316. doi: 10.1016/j.ebiom.2015.02.008.

In high-risk remission B-precursor acute lymphoblastic leukemia (BPL) patients, relapse rates have remained high post-hematopoietic stem cell transplantation (HSCT) even after use of very intensive total body irradiation (TBI)-based conditioning regimens, especially in patients with a high "minimal residual...

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Uckun FM, Myers DE, Ma H, et al. Low Dose Total Body Irradiation Combined With Recombinant CD19-Ligand × Soluble TRAIL Fusion Protein is Highly Effective Against Radiation-Resistant B-Precursor Acute Lymphoblastic Leukemia in Mice. EBioMedicine. 2015;2(4):306-316doi: 10.1016/j.ebiom.2015.02.008.
Uckun, F. M., Myers, D. E., Ma, H., Rose, R., & Qazi, S. (2015). Low Dose Total Body Irradiation Combined With Recombinant CD19-Ligand × Soluble TRAIL Fusion Protein is Highly Effective Against Radiation-Resistant B-Precursor Acute Lymphoblastic Leukemia in Mice. EBioMedicine, 2(4), 306-316. https://doi.org/10.1016/j.ebiom.2015.02.008
Uckun, Fatih M, et al. "Low Dose Total Body Irradiation Combined With Recombinant CD19-Ligand × Soluble TRAIL Fusion Protein is Highly Effective Against Radiation-Resistant B-Precursor Acute Lymphoblastic Leukemia in Mice." EBioMedicine vol. 2,4 (2015): 306-316. doi: https://doi.org/10.1016/j.ebiom.2015.02.008
Uckun FM, Myers DE, Ma H, Rose R, Qazi S. Low Dose Total Body Irradiation Combined With Recombinant CD19-Ligand × Soluble TRAIL Fusion Protein is Highly Effective Against Radiation-Resistant B-Precursor Acute Lymphoblastic Leukemia in Mice. EBioMedicine. 2015 Apr;2(4):306-316. doi: 10.1016/j.ebiom.2015.02.008. PMID: 26097891; PMCID: PMC4469281.
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Biophysical technologies for understanding circulating tumor cell biology and metastasis.

Translational lung cancer research

Su DW, Nieva J.
PMID: 28904890
Transl Lung Cancer Res. 2017 Aug;6(4):473-485. doi: 10.21037/tlcr.2017.05.08.

An understanding of cancer evolution in lung cancer with its associated resistance to therapy can only be achieved with repeated sampling and analysis of the cancer. Given the high risks and costs associated with repeat physical biopsy, alternative technologies...

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Su DW, Nieva J. Biophysical technologies for understanding circulating tumor cell biology and metastasis. Transl Lung Cancer Res. 2017;6(4):473-485doi: 10.21037/tlcr.2017.05.08.
Su, D. W., & Nieva, J. (2017). Biophysical technologies for understanding circulating tumor cell biology and metastasis. Translational lung cancer research, 6(4), 473-485. https://doi.org/10.21037/tlcr.2017.05.08
Su, Derrick W, and Nieva, Jorge. "Biophysical technologies for understanding circulating tumor cell biology and metastasis." Translational lung cancer research vol. 6,4 (2017): 473-485. doi: https://doi.org/10.21037/tlcr.2017.05.08
Su DW, Nieva J. Biophysical technologies for understanding circulating tumor cell biology and metastasis. Transl Lung Cancer Res. 2017 Aug;6(4):473-485. doi: 10.21037/tlcr.2017.05.08. PMID: 28904890; PMCID: PMC5583073.
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Altering cancer transcriptomes using epigenomic inhibitors.

Epigenetics & chromatin

Gaddis M, Gerrard D, Frietze S, Farnham PJ.
PMID: 26191083
Epigenetics Chromatin. 2015 Feb 24;8:9. doi: 10.1186/1756-8935-8-9. eCollection 2015.

BACKGROUND: Due to the hyper-activation of WNT signaling in a variety of cancer types, there has been a strong drive to develop pathway-specific inhibitors with the eventual goal of providing a chemotherapeutic antagonist of WNT signaling to cancer patients....

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Gaddis M, Gerrard D, Frietze S, et al. Altering cancer transcriptomes using epigenomic inhibitors. Epigenetics Chromatin. 2015;8:9doi: 10.1186/1756-8935-8-9.
Gaddis, M., Gerrard, D., Frietze, S., & Farnham, P. J. (2015). Altering cancer transcriptomes using epigenomic inhibitors. Epigenetics & chromatin, 89. https://doi.org/10.1186/1756-8935-8-9
Gaddis, Malaina, et al. "Altering cancer transcriptomes using epigenomic inhibitors." Epigenetics & chromatin vol. 8 (2015): 9. doi: https://doi.org/10.1186/1756-8935-8-9
Gaddis M, Gerrard D, Frietze S, Farnham PJ. Altering cancer transcriptomes using epigenomic inhibitors. Epigenetics Chromatin. 2015 Feb 24;8:9. doi: 10.1186/1756-8935-8-9. eCollection 2015. PMID: 26191083; PMCID: PMC4506402.
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Multidimensional Separation Using HILIC and SCX Pre-fractionation for RP LC-MS/MS Platform with Automated Exclusion List-based MS Data Acquisition with Increased Protein Quantification.

Journal of proteomics & bioinformatics

Zhou Y, Meng Z, Edman-Woolcott M, Hamm-Alvarez SF, Zandi E.
PMID: 26807013
J Proteomics Bioinform. 2015 Nov;8(11):260-265. doi: 10.4172/jpb.1000378. Epub 2015 Nov 28.

Liquid chromatography-mass spectrometry (LC-MS) based proteomics is one of the most widely used analytical platforms for global protein discovery and quantification. One of the challenges is the difficulty of identifying low abundance biomarker proteins from limited biological samples. Extensive...

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Zhou Y, Meng Z, Edman-Woolcott M, et al. Multidimensional Separation Using HILIC and SCX Pre-fractionation for RP LC-MS/MS Platform with Automated Exclusion List-based MS Data Acquisition with Increased Protein Quantification. J Proteomics Bioinform. 2015;8(11):260-265doi: 10.4172/jpb.1000378.
Zhou, Y., Meng, Z., Edman-Woolcott, M., Hamm-Alvarez, S. F., & Zandi, E. (2015). Multidimensional Separation Using HILIC and SCX Pre-fractionation for RP LC-MS/MS Platform with Automated Exclusion List-based MS Data Acquisition with Increased Protein Quantification. Journal of proteomics & bioinformatics, 8(11), 260-265. https://doi.org/10.4172/jpb.1000378
Zhou, Yu, et al. "Multidimensional Separation Using HILIC and SCX Pre-fractionation for RP LC-MS/MS Platform with Automated Exclusion List-based MS Data Acquisition with Increased Protein Quantification." Journal of proteomics & bioinformatics vol. 8,11 (2015): 260-265. doi: https://doi.org/10.4172/jpb.1000378
Zhou Y, Meng Z, Edman-Woolcott M, Hamm-Alvarez SF, Zandi E. Multidimensional Separation Using HILIC and SCX Pre-fractionation for RP LC-MS/MS Platform with Automated Exclusion List-based MS Data Acquisition with Increased Protein Quantification. J Proteomics Bioinform. 2015 Nov;8(11):260-265. doi: 10.4172/jpb.1000378. Epub 2015 Nov 28. PMID: 26807013; PMCID: PMC4720167.
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A PREVIOUSLY UNKNOWN UNIQUE CHALLENGE FOR INHIBITORS OF SYK ATP-BINDING SITE: ROLE OF SYK AS A CELL CYCLE CHECKPOINT REGULATOR.

EBioMedicine

Uckun FM, Ma H, Ozer Z, Goodman P, Zhang J, Qazi S.
PMID: 25506060
EBioMedicine. 2014 Nov 01;1(1):16-28. doi: 10.1016/j.ebiom.2014.10.019.

The identification of SYK as a molecular target in B-lineage leukemia/lymphoma cells prompted the development of SYK inhibitors as a new class of anti-cancer drug candidates. Here we report that induction of the SYK gene expression in human cells...

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Uckun FM, Ma H, Ozer Z, et al. A PREVIOUSLY UNKNOWN UNIQUE CHALLENGE FOR INHIBITORS OF SYK ATP-BINDING SITE: ROLE OF SYK AS A CELL CYCLE CHECKPOINT REGULATOR. EBioMedicine. 2014;1(1):16-28doi: 10.1016/j.ebiom.2014.10.019.
Uckun, F. M., Ma, H., Ozer, Z., Goodman, P., Zhang, J., & Qazi, S. (2014). A PREVIOUSLY UNKNOWN UNIQUE CHALLENGE FOR INHIBITORS OF SYK ATP-BINDING SITE: ROLE OF SYK AS A CELL CYCLE CHECKPOINT REGULATOR. EBioMedicine, 1(1), 16-28. https://doi.org/10.1016/j.ebiom.2014.10.019
Uckun, Fatih M, et al. "A PREVIOUSLY UNKNOWN UNIQUE CHALLENGE FOR INHIBITORS OF SYK ATP-BINDING SITE: ROLE OF SYK AS A CELL CYCLE CHECKPOINT REGULATOR." EBioMedicine vol. 1,1 (2014): 16-28. doi: https://doi.org/10.1016/j.ebiom.2014.10.019
Uckun FM, Ma H, Ozer Z, Goodman P, Zhang J, Qazi S. A PREVIOUSLY UNKNOWN UNIQUE CHALLENGE FOR INHIBITORS OF SYK ATP-BINDING SITE: ROLE OF SYK AS A CELL CYCLE CHECKPOINT REGULATOR. EBioMedicine. 2014 Nov 01;1(1):16-28. doi: 10.1016/j.ebiom.2014.10.019. PMID: 25506060; PMCID: PMC4259291.
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Lacritin-mediated regeneration of the corneal epithelia by protein polymer nanoparticles.

Journal of materials chemistry. B

Wang W, Despanie J, Shi P, Edman-Woolcott MC, Lin YA, Cui H, Heur JM, Fini ME, Hamm-Alvarez SF, MacKay JA.
PMID: 25530855
J Mater Chem B. 2014 Dec 14;2(46):8131-8141. doi: 10.1039/C4TB00979G.

The avascular corneal epithelium plays an important role in maintaining normal vision and protecting the corneal interior from environmental infections. Delayed recovery of ocular wounds caused by trauma or refractive surgery strengthens the need to accelerate corneal wound healing...

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Wang W, Despanie J, Shi P, et al. Lacritin-mediated regeneration of the corneal epithelia by protein polymer nanoparticles. J Mater Chem B. 2014;2(46):8131-8141doi: 10.1039/C4TB00979G.
Wang, W., Despanie, J., Shi, P., Edman-Woolcott, M. C., Lin, Y. A., Cui, H., Heur, J. M., Fini, M. E., Hamm-Alvarez, S. F., & MacKay, J. A. (2014). Lacritin-mediated regeneration of the corneal epithelia by protein polymer nanoparticles. Journal of materials chemistry. B, 2(46), 8131-8141. https://doi.org/10.1039/C4TB00979G
Wang, Wan, et al. "Lacritin-mediated regeneration of the corneal epithelia by protein polymer nanoparticles." Journal of materials chemistry. B vol. 2,46 (2014): 8131-8141. doi: https://doi.org/10.1039/C4TB00979G
Wang W, Despanie J, Shi P, Edman-Woolcott MC, Lin YA, Cui H, Heur JM, Fini ME, Hamm-Alvarez SF, MacKay JA. Lacritin-mediated regeneration of the corneal epithelia by protein polymer nanoparticles. J Mater Chem B. 2014 Dec 14;2(46):8131-8141. doi: 10.1039/C4TB00979G. PMID: 25530855; PMCID: PMC4270104.
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Association between monocyte Fcgamma subclass expression and acute coronary syndrome.

Immunity & ageing : I & A

Calverley DC, Varteresian T, Brass E, Tsao-Wei DD, Groshen S, Mack WJ, Buchanan TA, Hodis HN, Schreiber AD.
PMID: 15679933
Immun Ageing. 2004 Nov 12;1(1):4. doi: 10.1186/1742-4933-1-4.

BACKGROUND: Atherosclerosis lesions contain abundant immunoglobulins complexed with oxidized LDL (OxLDL) that are endocytosed by macrophages to form foam cells. While recent evidence supports a role for the macrophage scavenger receptor pathway in 75-90% of OxLDL uptake, in vitro...

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Calverley DC, Varteresian T, Brass E, et al. Association between monocyte Fcgamma subclass expression and acute coronary syndrome. Immun Ageing. 2004;1(1):4doi: 10.1186/1742-4933-1-4.
Calverley, D. C., Varteresian, T., Brass, E., Tsao-Wei, D. D., Groshen, S., Mack, W. J., Buchanan, T. A., Hodis, H. N., & Schreiber, A. D. (2004). Association between monocyte Fcgamma subclass expression and acute coronary syndrome. Immunity & ageing : I & A, 1(1), 4. https://doi.org/10.1186/1742-4933-1-4
Calverley, David C, et al. "Association between monocyte Fcgamma subclass expression and acute coronary syndrome." Immunity & ageing : I & A vol. 1,1 (2004): 4. doi: https://doi.org/10.1186/1742-4933-1-4
Calverley DC, Varteresian T, Brass E, Tsao-Wei DD, Groshen S, Mack WJ, Buchanan TA, Hodis HN, Schreiber AD. Association between monocyte Fcgamma subclass expression and acute coronary syndrome. Immun Ageing. 2004 Nov 12;1(1):4. doi: 10.1186/1742-4933-1-4. PMID: 15679933; PMCID: PMC544957.
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A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk.

International journal of genomics

Duan L, Thomas DC.
PMID: 24490143
Int J Genomics. 2013;2013:406217. doi: 10.1155/2013/406217. Epub 2013 Dec 31.

A variety of methods have been proposed for studying the association of multiple genes thought to be involved in a common pathway for a particular disease. Here, we present an extension of a Bayesian hierarchical modeling strategy that allows...

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Duan L, Thomas DC. A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk. Int J Genomics. 2013;2013:406217doi: 10.1155/2013/406217.
Duan, L., & Thomas, D. C. (2013). A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk. International journal of genomics, 2013406217. https://doi.org/10.1155/2013/406217
Duan, Lewei, and Thomas, Duncan C. "A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk." International journal of genomics vol. 2013 (2013): 406217. doi: https://doi.org/10.1155/2013/406217
Duan L, Thomas DC. A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk. Int J Genomics. 2013;2013:406217. doi: 10.1155/2013/406217. Epub 2013 Dec 31. PMID: 24490143; PMCID: PMC3892936.
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Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity.

Journal of gastrointestinal oncology

Yang D, Hendifar A, Lenz C, Togawa K, Lenz F, Lurje G, Pohl A, Winder T, Ning Y, Groshen S, Lenz HJ.
PMID: 22811834
J Gastrointest Oncol. 2011 Jun;2(2):77-84. doi: 10.3978/j.issn.2078-6891.2010.025.

BACKGROUND: Despite the success of modern chemotherapy in the treatment of large bowel cancers, patients with metastatic gastric cancer continue to have a dismal outcome. Identifying predictive and prognostic markers is an important step to improving current treatment approaches...

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Yang D, Hendifar A, Lenz C, et al. Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity. J Gastrointest Oncol. 2011;2(2):77-84doi: 10.3978/j.issn.2078-6891.2010.025.
Yang, D., Hendifar, A., Lenz, C., Togawa, K., Lenz, F., Lurje, G., Pohl, A., Winder, T., Ning, Y., Groshen, S., & Lenz, H. J. (2011). Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity. Journal of gastrointestinal oncology, 2(2), 77-84. https://doi.org/10.3978/j.issn.2078-6891.2010.025
Yang, Dongyun, et al. "Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity." Journal of gastrointestinal oncology vol. 2,2 (2011): 77-84. doi: https://doi.org/10.3978/j.issn.2078-6891.2010.025
Yang D, Hendifar A, Lenz C, Togawa K, Lenz F, Lurje G, Pohl A, Winder T, Ning Y, Groshen S, Lenz HJ. Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity. J Gastrointest Oncol. 2011 Jun;2(2):77-84. doi: 10.3978/j.issn.2078-6891.2010.025. PMID: 22811834; PMCID: PMC3397601.
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Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk.

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

Wang X, Su YR, Petersen PS, Bien S, Schmit SL, Drew DA, Albanes D, Berndt SI, Brenner H, Campbell PT, Casey G, Chang-Claude J, Gallinger SJ, Gruber SB, Haile RW, Harrison TA, Hoffmeister M, Jacobs EJ, Jenkins MA, Joshi AD, Li L, Lin Y, Lindor NM, Marchand LL, Martin V, Milne R, Maclnnis R, Moreno V, Nan H, Newcomb PA, Potter JD, Rennert G, Rennert H, Slattery ML, Thibodeau SN, Weinstein SJ, Woods MO, Chan AT, White E, Hsu L, Peters U.
PMID: 32651213
Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1800-1808. doi: 10.1158/1055-9965.EPI-19-1018. Epub 2020 Jul 10.

BACKGROUND: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk,...

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Wang X, Su YR, Petersen PS, et al. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 2020;29(9):1800-1808doi: 10.1158/1055-9965.EPI-19-1018.
Wang, X., Su, Y. R., Petersen, P. S., Bien, S., Schmit, S. L., Drew, D. A., Albanes, D., Berndt, S. I., Brenner, H., Campbell, P. T., Casey, G., Chang-Claude, J., Gallinger, S. J., Gruber, S. B., Haile, R. W., Harrison, T. A., Hoffmeister, M., Jacobs, E. J., Jenkins, M. A., Joshi, A. D., Li, L., Lin, Y., Lindor, N. M., Marchand, L. L., Martin, V., Milne, R., Maclnnis, R., Moreno, V., Nan, H., Newcomb, P. A., Potter, J. D., Rennert, G., Rennert, H., Slattery, M. L., Thibodeau, S. N., Weinstein, S. J., Woods, M. O., Chan, A. T., White, E., Hsu, L., & Peters, U. (2020). Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 29(9), 1800-1808. https://doi.org/10.1158/1055-9965.EPI-19-1018
Wang, Xiaoliang, et al. "Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 29,9 (2020): 1800-1808. doi: https://doi.org/10.1158/1055-9965.EPI-19-1018
Wang X, Su YR, Petersen PS, Bien S, Schmit SL, Drew DA, Albanes D, Berndt SI, Brenner H, Campbell PT, Casey G, Chang-Claude J, Gallinger SJ, Gruber SB, Haile RW, Harrison TA, Hoffmeister M, Jacobs EJ, Jenkins MA, Joshi AD, Li L, Lin Y, Lindor NM, Marchand LL, Martin V, Milne R, Maclnnis R, Moreno V, Nan H, Newcomb PA, Potter JD, Rennert G, Rennert H, Slattery ML, Thibodeau SN, Weinstein SJ, Woods MO, Chan AT, White E, Hsu L, Peters U. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1800-1808. doi: 10.1158/1055-9965.EPI-19-1018. Epub 2020 Jul 10. PMID: 32651213; PMCID: PMC7556991.
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Exploring Solvent Effects in the Radiosynthesis of .

ACS pharmacology & translational science

Li J, Van Valkenburgh J, Conti PS, Chen K.
PMID: 33615178
ACS Pharmacol Transl Sci. 2020 Dec 04;4(1):266-275. doi: 10.1021/acsptsci.0c00184. eCollection 2021 Feb 12.

Thymidine analogues, 5-substituted 2'-deoxy-2'-[

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Li J, Van Valkenburgh J, Conti PS, et al. Exploring Solvent Effects in the Radiosynthesis of . ACS Pharmacol Transl Sci. 2020;4(1):266-275doi: 10.1021/acsptsci.0c00184.
Li, J., Van Valkenburgh, J., Conti, P. S., & Chen, K. (2021). Exploring Solvent Effects in the Radiosynthesis of . ACS pharmacology & translational science, 4(1), 266-275. https://doi.org/10.1021/acsptsci.0c00184
Li, Jindian, et al. "Exploring Solvent Effects in the Radiosynthesis of ." ACS pharmacology & translational science vol. 4,1 (2021): 266-275. doi: https://doi.org/10.1021/acsptsci.0c00184
Li J, Van Valkenburgh J, Conti PS, Chen K. Exploring Solvent Effects in the Radiosynthesis of . ACS Pharmacol Transl Sci. 2020 Dec 04;4(1):266-275. doi: 10.1021/acsptsci.0c00184. eCollection 2021 Feb 12. PMID: 33615178; PMCID: PMC7887844.
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Acral lentiginous melanoma-Population, treatment, and survival using the NCDB from 2004 to 2015.

Pigment cell & melanoma research

Bian SX, Hwang L, Hwang J, Ragab O, In GK, Peng D, Lin E.
PMID: 34273249
Pigment Cell Melanoma Res. 2021 Nov;34(6):1049-1061. doi: 10.1111/pcmr.12999. Epub 2021 Aug 02.

Acral lentiginous melanoma (ALM) is a rare histological subtype of cutaneous malignant melanoma that typically presents on the palms and soles. To characterize the demographic and treatment characteristics of ALM, we used the National Cancer Database (NCDB) to describe...

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Bian SX, Hwang L, Hwang J, et al. Acral lentiginous melanoma-Population, treatment, and survival using the NCDB from 2004 to 2015. Pigment Cell Melanoma Res. 2021;34(6):1049-1061doi: 10.1111/pcmr.12999.
Bian, S. X., Hwang, L., Hwang, J., Ragab, O., In, G. K., Peng, D., & Lin, E. (2021). Acral lentiginous melanoma-Population, treatment, and survival using the NCDB from 2004 to 2015. Pigment cell & melanoma research, 34(6), 1049-1061. https://doi.org/10.1111/pcmr.12999
Bian, Shelly X, et al. "Acral lentiginous melanoma-Population, treatment, and survival using the NCDB from 2004 to 2015." Pigment cell & melanoma research vol. 34,6 (2021): 1049-1061. doi: https://doi.org/10.1111/pcmr.12999
Bian SX, Hwang L, Hwang J, Ragab O, In GK, Peng D, Lin E. Acral lentiginous melanoma-Population, treatment, and survival using the NCDB from 2004 to 2015. Pigment Cell Melanoma Res. 2021 Nov;34(6):1049-1061. doi: 10.1111/pcmr.12999. Epub 2021 Aug 02. PMID: 34273249; PMCID: PMC8599631.
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