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. 2015 Oct 15;10(10):e0141036. doi: 10.1371/journal.pone.0141036

Correction: DAPIT Over-Expression Modulates Glucose Metabolism and Cell Behaviour in HEK293T Cells

Heidi Kontro, Giuseppe Cannino, Pierre Rustin, Eric Dufour, Heikki Kainulainen
PMCID: PMC4607438  PMID: 26469334

There are errors in the “Oncomine data analysis” section of the Materials and Methods. It should read:

Oncomine and CCLE data analysis

We used the Oncomine Cancer Genomics Data Analysis tool [30] and Cancer Cell Line Encyclopedia, CCLE [35] to mine Usmg5 copy number profiles in a large subset of cancer cell lines [31, 34, 35, 38, 41, 65–69]. In the dataset, the log2 (≥ 0,34) values were analyzed. The number of DNA copies (= 2*(2^y-axis value)) were calculated as advised in Oncomine instructions.

There are errors in the “Usmg5 copy number in cancers” section of the Results. It should read:

Usmg5 copy number in cancer cell lines

Since DAPIT over-expression induced EMT and glycolytic switch in HEK293T cells, we tested if DAPIT is over-presented in cancer cell lines. The Oncomine Cancer Genomics database and CCLE revealed a duplication (3–4 copies) of Usmg5 copy number in a large panel of cell lines (Table 2) Several datasets indicated uniform increase in copy number in various lung (NCI-H1775, NCI-H1993, NCI-H1563, NCI-H1755, VMRC-LCD, SBC-5, NCI-H1703), gastric (HCT116, Hs746T, MKN74, SNU-668), ovarian (OVTOKO, MCAS), liver (SNU-398) and pancreatic (PSN1, PANC-1) cancer cell lines. The copy number was also confirmed in breast (SUM-52PE), endometrial (AN3CA), esophagus (OE33), hematopoietic (MPLM6), kidney (SNU-1272) and lymphoid (Ki-JK) cell lines, being encountered once in the others. These data strongly suggest a role for DAPIT over-expression in cancers.

Table 2. Cancer cell lines expressing increased genomic Usmg5 copy number in Oncomine cancer genomics database and Cancer Cell Line Encyclopedia, CCLE.

Classification Cancer type Cell line DNA copy number Oncomine dataset/ CCLE
Bone Osteosarcoma 143B 2,76 CCLE [31]
Brain Brain gioblastoma A-172 3,48 Berouchim brain [35]
Cerebral glioblastoma LN-18 2,78 Berouchim brain [35]
Breast Breast adenocarcinoma MCF7 2,62 Nicolsky Breast [32]
Breast carcinoma SUM-52PE 3,60
3,42
Nicolsky Breast [32]
Chin breast2 [65]
CAL-51 3,28 Hu CellLine2 [66]
MDA-MB-468 2,96 Hu CellLine2 [66]
CAL-120 2,81 Hu CellLine2 [66]
Hs 578T 2,74 Hu CellLine2 [66]
MDA-MB-361 2,72 Hu CellLine2 [66]
HCC1806 2,62 CCLE [31]
Ductal breast carcinoma T-47D 3,18 Nicolsky Breast [32]
MFM-223 2,85 Nicolsky Breast [32]
Squamous cell breast carcinoma, Acantholytic variant HCC1806 2,88 Hu CellLine2 [66]
Central nervous system Cannabinoid receptor CB1 2,69 CCLE [31]
Glioma KSN60 2,59 CCLE [31]
Endometrium Endometrial adenocarcinoma JHUEM2 2,60 CCLE [31]
AN3CA 2,60
2,59
CCLE [31]
Rothenberg CellLine [38]
Esophagus Eesophageal adenocarcinoma JHESOAD1 2,61 CCLE [31]
Barrett's adenocarcinoma OE33 2,77
2,65
CCLE [31]
Wooster CellLine [N/A]
Gallbladder Biliary tract cancer SNU478 3,49 CCLE [31]
Gastric Cecum adenocarcinoma LS411N 2,70 Lu colorectal [67]
NCI-H498 2,61 Lu colorectal [67]
NCI-H747 2,60 Lu colorectal [67]
Colon adenocarcinoma SW620 2,88 Lu colorectal [67]
HCT-15 2,77 Lu colorectal [67]
LS180 2,72 Lu colorectal [67]
Colon carcinoma HCT116 2,94
2,78
2,78
2,77
CCLE [31]
Berouchim multicancer [34]
Lu colorectal [67]
Rothenberg CellLine [38]
Gastric cancer Hs 746T 3,54
2,90
Rothenberg CellLine [38]
Palanisamy gastric [N/A]
NCI-N87 3,41 Palanisamy gastric [N/A]
KATO111 3,34 Palanisamy gastric [N/A]
YCC-16 3,21 Palanisamy gastric [N/A]
HUG1N 3,02 CCLE [31]
YCC-9 3,00 Palanisamy gastric [N/A]
YCC-6 2,85 Palanisamy gastric [N/A]
SNU520 2,69 CCLE [31]
Gastric tubular adenocarcinoma MKN74 2,74
2,57
CCLE [31]
Rothenberg CellLine [38]
Gastrointestinal stromal tumor GIST 882X 2,97 Berouchim multicancer [34]
Signet ring cell gastric adenocarcinoma SNU-668 2,93
2,80
CCLE [31]
Barretina CellLine 2 [31]
Hematopoietic tissue Acute Myeloid Leukemia CMK115 2,90 CCLE [31]
KASUMI1 2,85 CCLE [31]
CMK 2,67 CCLE [31]
M2-type of Myeloid Leukemia KASUMI6 2,78 CCLE [31]
Blast phase cronic myelogenous leukemia MOLM6 2,78
2,60
CCLE [31]
Barretina CellLine 2 [31]
Chronic myeloid leukemia BV173 2,55 CCLE [31]
Leukemia NCO2 2,53 CCLE [31]
Erythroleukemia TF-1 2,60 Barretina CellLine 2 [31]
Kidney Clear cell renal carcinoma SNU-1272 3,13
2,77
CCLE [31]
Barretina CellLine 2 [31]
Renal carcinoma UOK101 2,87 CCLE [31]
Human proximal tubular cell line, immortalized HK2 2,67 CCLE [31]
Renal adenocarcinoma ACHN 2,55 CCLE [31]
Liver Hepatocellular adenocarcinoma SNU-398 2,84
2,75
2,72
2,59
CCLE [31]
Rothenberg CellLine [38]
Wooster CellLine [N/A]
Barretina CellLine 2 [31]
Hepatocellular carcinoma LI7 3,40 CCLE [31]
C3A 2,62 CCLE [31]
Lung Lung adenocarcinoma NCI-HI435 3,15 CCLE [31]
NCI-H1775 2,73
2,62
CCLE [31]
Lu lung [67]
NCI-H1993 2,79
2,72
2,62
Lu lung [67]
Sos CellLine [69]
Wooster CellLine [N/A]
NCI-H1563 2,74
2,68
CCLE [31]
Lu lung [67]
NCI-H1838 2,63 Lu lung [67]
NCI-H1755 2,86
2,58
Sos CellLine [69]
Rothenberg CellLine [38]
VMRC-LCD 2,67
2,57
CCLE [31]
Rothenberg CellLine [38]
LU65A 2,75 Rothenberg CellLine [38]
Large cell lung carcinoma Calu-6 2,59 Lu lung [67]
Giant cell lung carcinoma LU65B 3,03 Rothenberg CellLine [38]
Small cell lung carcinoma NCI-H510 2,83 CCLE [31]
DMS53 2,69 Olejniczak CellLine 2 [68]
SBC-5 2,69
2,64
CCLE [31]
Rothenberg CellLine [38]
DMS114 2,55 CCLE [31]
Non-small cell lung carcinoma NCI-H1581 2,67 CCLE [31]
Squamous cell lung carcinoma HCC1897 3,53 CCLE [31]
NCI-HI703 2,63
2,61
CCLE [31]
Wooster CellLine [N/A]
Lung carcinoma EPLC272H 2,56 CCLE [31]
Lymphoid tissue Anaplastic large cell lymphoma Ki-JK 3,21
2,80
CCLE [31]
Barretina CellLine 2 [31]
Non-Hodking B cell Lymphoma JM1 2,79 CCLE [31]
Non-Hodking T cell Lymphoma SR786 2,78 CCLE [31]
SUDHL1 2,65 CCLE [31]
Splenic marginal zone B-cell lymphoma SLVL 2,63 Rothenberg CellLine [38]
Ovarian Ovarian adenocarcinoma TOV21G 2,98 CCLE [31]
OVK18 2,89 CCLE [31]
CAO V3 2,62 CCLE [31]
Ovarian clear cell adenocarcinoma OVTOKO 4,04
3,20
CCLE [31]
Barretina CellLine 2 [31]
Ovarian mucinous custadenocarcinoma MCAS 3,05
2,92
2,68
CCLE [31]
Rothenberg CellLine [38]
Barretina CellLine 2 [31]
Ovarian carcinoma OVSAHO 2,72 CCLE [31]
Ovarian carcinoma OVK12 2,65 Barretina CellLine 2 [31]
Ovarian granulosa cell tumor COV434 2,80 CCLE [31]
Pancreas Ampulla of Vater adenocarcinoma SNU-478 3,08 Barretina CellLine 2 [31]
Pancreatic adenocarcinoma PSN1 2,75
2,61
CCLE [31]
Barretina CellLine 2 [31]
PANC1 2,64
2,53
CCLE [31]
Barretina CellLine2 [31]
PK1 2,53 CCLE [31]
Panreatic carcinoma PK45H 2,63 CCLE [31]
YAPC 2,62 CCLE [31]
Skin Cutaneous melanoma A7 2,81 Wooster CellLine [N/A]
Melanoma IGR1 2,63 CCLE [31]
Squamous cell adenocarcinoma HCC95 2,78 Sos CellLine [69]
HCC-15 2,59 Sos CellLine [69]
Thyroid Follicular thyroid carcinoma ML1 2,53 CCLE [31]

N/A indicating not available

There are errors in Table 2 and in its caption. Please see the corrected Table 2 and its correct caption below.

There are errors in the last sentence in the penultimate paragraph of the Discussion. It should read: Interestingly, searching in the Oncomine cancer genomics database and Cancer Cell Line Encyclopedia, CCLE, revealed a duplication in Usmg5 copy number in various cancer cell lines (Table 2), highlighting several lung, gastric, ovarian, liver and pancreatic cancer cell lines by supporting fidelity in duplication. The copy number was also confirmed in some breast, endometrial, esophageal, hematopoietic, kidney and lymphoid cell lines. Despite the link between DAPIT and the tumorigenic capacity has not been sufficiently demonstrated, this result strengthens a correlative involvement of DAPIT in cancer and suggests a possible oncogenic function for it.

There are errors in the References. Please view the correct additional references, which are also corrected in Table 3 and the article text described above.

65. Chin SF, Teschendorff AE, Marioni JC, Wang Y, Barbosa-Morais NL, Throne NPet al. High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer. Genome Biol. 2007;8(10):R215. doi: 10.1186/gb-2007-8-10-r215

66. Hu X, Stern HM, Ge L, O'Brien C, Haydu L, Honchell CD, Haverty PM et al. Genetic alterations and oncogenic pathways associated with breast cancer subtypes. Mol Cancer Res. 2009 Apr;7(4):511–22. doi: 10.1158/1541-7786.MCR-08-0107

67. Lu X, Zhang K, Van Sant C, Coon J, Semizarov D. An algorithm for classifying tumors based on genomic aberrations and selecting representative tumor models. BMC Med Genomics. 2010 Jun 22;3:23. doi: 10.1186/1755-8794-3-23

68.Olejniczak ET, Van Sant C, Anderson MG, Wang G, Tahir SK, Sauter G et al. Integrative genomic analysis of small-cell lung carcinoma reveals correlates of sensitivity to bcl-2 antagonists and uncovers novel chromosomal gains. Mol Cancer Res. 2007 Apr;5(4):331–9. Doi: 10.1158/1541-7786

69. Sos ML, Michel K, Zander T, Weiss J, Frommolt P, Peifer M et al. Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions. J Clin Invest. 2009; Jun;119(6):1727–40. doi: 10.1172/JCI37127

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