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Enregistrement W2142614342 · doi:10.1373/49.7.1206

Detection of Anti-Livin Antibody in Gastrointestinal Cancer Patients

2003· article· en· W2142614342 sur OpenAlexfundno aff
Atsuhito Yagihashi, Koichi Asanuma, Naoki Tsuji, Toshihiko Torigoe, Noriyuki Sato, Koichi Hirata, Naoki Watanabe

Notice bibliographique

RevueClinical Chemistry · 2003
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCell death mechanisms and regulation
Établissements canadiensnon disponible
Organismes subventionnairesMedical Research CouncilMedical Research Council Canada
Mots-clésAntibodyCancerGastrointestinal cancerMedicineInternal medicineImmunologyColorectal cancer

Résumé

récupéré en direct d'OpenAlex

Livin, a recently described member of the inhibitor of apoptosis protein (IAP) family, contains a single baculovirus IAP repeat and a carboxyl-terminal RING finger (1)(2)(3). Like other proteins in the IAP family, livin binds specifically to a terminal effector cell-death protease, in this instance, caspase-9 (1)(2)(3). The consequences are substantially reduced caspase activity and reduced cell death in response to diverse apoptotic stimuli (1)(2)(3). Semiquantitative reverse transcription-PCR methods have detected human livin mRNA in fetal kidney, heart, and spleen and in adult tissues such as heart, lung, spleen, ovary, and placenta (4). In addition, livin mRNA is overexpressed by some cancer cells, including melanoma, breast cancer, cervical cancer, colon cancer, prostate cancer, leukemia, and lymphoma cells (4). As with survivin overexpression (5)(6)(7), livin overexpression by cancer cells may lead to anti-livin antibody responses and cytotoxic T-lymphocyte responses against the cancer. In the present study, we examined livin mRNA expression in gastrointestinal cancer cell lines and the prevalence of antibody responses against livin in patients with various gastrointestinal cancers. We cultured human pancreatic cancer cell lines (PANC-1, Capan-1, AsPC-1, MIAPaCa-2, and BxPC-3), gastric cancer cell lines (MKN-1, MKN-45, and TMK-1), colon cancer cell lines (HT-29, SW480, SW620, and LSI180), and a hepatoma cell line (HepG2) in RPMI-1640 with 100 mL/L calf serum at 37 °C in 5% CO2. Livin mRNA expression was quantified by a previously reported method (8). The sequence of the forward primer was 5′-TCAGTTCCTGCTCCGGTCA-3′, that the reverse primer was 5′-CGTCTTCCGGTTCTTCCCA-3′, and the sequence of the TaqMan probe was 5′-CCACAGTGTGCAGGAGACTCACTCCC-3′. As an internal control, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) RNA was used and amplified with TaqMan control reagents (Perkin-Elmer Applied Biosystems). The conditions of the one-step reverse transcription-PCR have been described previously (8). The calibration curves were constructed with known dilutions of RNA obtained from PANC-1 cells (8). The normalized concentration of livin mRNA, an arbitrary number that can be used to compare the relative amount of livin mRNA in different samples, was determined by dividing the concentration of livin mRNA by the concentration of GAPDH mRNA (8). Livin mRNA was highest in a pancreatic cancer line, AsPC-1 (livin mRNA:GAPDH mRNA = 0.78) and in a colon cancer line, HT-29 (livin mRNA:GAPDH mRNA = 0.42). No livin mRNA [no amplification plot was detected at ΔRn ≥0.05 (8)] was detected in two other pancreatic cancer lines (MIAPaCa-2 and BxPC-3), a gastric cancer line (MKN-1), or two other colon cancer lines (LSI180 and SW620). Other cell lines contained intermediate concentrations of livin mRNA (livin mRNA:GAPDH mRNA = 0.22–0.01). Blood samples were collected from 10 healthy blood donors (age range, 40–65 years) and 35 gastrointestinal cancer patients (age range, 43–67 years) after histologic diagnosis. In addition, blood samples were collected from 15 patients with gastric cancer admitted to Sapporo Medical University. These gastric cancer patients were diagnosed as being in stage I to IV based on TNM classification (UICC). Informed consent was obtained from all blood donors. After centrifugation, sera were divided into aliquots and stored at −80 °C. To measure anti-livin antibodies, we prepared recombinant His-tagged T7-livin protein by the following procedure. Total RNA was extracted from a human melanoma cell line (888mel) as a template. The full-length livin gene was amplified by reverse transcription-PCR with livin-specific primers (forward primer, 5′-CGGGATCCATGGGACCTAAAGACAGTGC-3′; reverse primer, 5′-CGGAATTCCTAGGACAGGAAGGTGCGCA-3′). The amplified product was digested with BamHI and EcoRI and inserted at the same site in a pET15b-T7 vector (5). The resulting pET15b-T7-livin was transfected into BL21cells, which then overexpressed recombinant livin protein (His-T7-livin). The recombinant protein was purified with use of a nickel-nitrilotriacetate column (QIAGEN) according to the manufacturer’s instructions. The purity of the recombinant protein (50 kDa) was determined by sodium dodecyl sulfate–polyacrylamide gel electrophoresis followed by Coomassie blue staining. As a control, His-T7-green fluorescent protein (GFP) was used (5). As an antigen for coating wells in the anti-livin assay, purified recombinant livin was diluted in 50 mmol/L bicarbonate buffer (pH 9.5) to a final protein concentration of 5 mg/L as determined by the Bradford method (Bio-Rad). Recombinant His-T7-GFP was used as a control antigen at the same concentration in the same buffer. Livin or control antigen solution was placed in the wells of 96-well plates (Corning) and incubated overnight at 4 °C. After the antigen solutions were removed and the wells were washed five times with phosphate-buffered saline (PBS) containing 0.5 mL/L Tween 20 (T-PBS), plates were blocked with 10 g/L bovine serum albumin in PBS for 2 h at room temperature. After the wells were emptied and washed five times with T-PBS, 100 μL of serum sample diluted 1:100 in PBS was added to each well and incubated for 1 h at room temperature. The samples were then removed, and the wells were washed five times with T-PBS, after which each well was incubated for 30 min with a 1:2000 dilution of rabbit anti-human IgG F(ab′)2 conjugated with horseradish peroxidase (Dako). After this antibody solution was removed and the wells were washed five times with T-PBS, each well was developed by addition of o-phenylenediamine. After a 10-min incubation in the dark, the reaction was stopped with 0.25 mol/L H2SO4, and the absorbance was measured at 492 nm. Data were obtained in triplicate for each sample. The cutoff value for positivity in the anti-livin assay, determined from healthy donor samples as the mean absorbance +2 SD, was 0.272. Sera from 17 of 35 gastrointestinal cancer patients (47%) were reactive with recombinant livin protein by the ELISA, whereas only 1 control serum from healthy donors was reactive (Fig. 1A ). Subgroup results for gastrointestinal cancers were as follows: 3 positive sera of 5 for biliary tract cancer; 3 of 6 for gastric cancer; 6 of 11 for colorectal cancer; 1 of 3 for hepatoma; 2 of 7 for pancreatic cancer; and 2 of 3 for esophageal cancer. All 17 sera reacting with recombinant livin protein in the anti-livin assay were subjected to the anti-survivin assay described previously (5). Anti-survivin antibodies were detected in 13 of 17 sera tested. The intensities of the anti-livin antibody responses did not correlate with those of the anti-survivin antibody responses (y = 0.804x − 0.096; r = 0.411). In addition, sera from 6 of 15 gastric cancer patients (4 positive sera of 7 for stage III, 1 of 2 for stage IV, 1 of 1 for recurrent gastric cancer) were reactive with recombinant livin protein in the assay. Results of ELISA (A) and Western blotting (B) analyses for anti-livin antibodies. (A), ELISA results for anti-livin antibodies in sera from patients with gastrointestinal cancers (n = 35) were compared with findings in healthy donors (n = 10). The cutoff value for positivity was 0.272. A, absorbance. (B), Western blot analysis for reactivity of a polyclonal anti-livin antibody and sera from three cancer patients and a healthy donor with recombinant livin protein. Lane 1, anti-livin polyclonal antibody; lanes 2–4, patient sera (lane 2 is from a gastric cancer patient, lane 3 is from a colon cancer patient, and lane 4 is from a patient with esophageal cancer); lane 5, serum from a healthy blood donor. To examine the analytical specificity of the anti-livin assay, all serum samples (100 μL of a 1:100 dilution) were incubated with 30 mg/L recombinant livin protein or GFP control antigen for 1 h at 37 °C and then were subjected to the assay. Serum reactivity decreased dramatically after incubation with recombinant livin protein, but not after incubation with recombinant control GFP. In addition, anti-livin polyclonal antibody and sera reacting or not reacting with recombinant livin protein in the anti-livin plate-coating assay were tested against recombinant livin protein by Western blot analysis. Recombinant livin protein was separated by 10% sodium dodecyl sulfate–polyacrylamide gel electrophoresis and then transferred to a polyvinylidene difluoride membrane (Millipore). The membrane was blocked with bovine serum albumin solution (10 g/L) in PBS and cut into strips. After being washed with T-PBS, membrane strips were incubated overnight at 4 °C with serum samples diluted 1:100 or anti-livin polyclonal antibody (1.0 mg/L). After being washed with T-PBS, the strips were incubated for 30 min at room temperature with a 1:2000 dilution of rabbit anti-human IgG F(ab′)2 or goat anti-rabbit IgG F(ab′)2 conjugated with horseradish peroxidase (Dako). After being washed with T-PBS, the strips were developed with a diaminobenzidine solution (Sigma). The anti-livin polyclonal antibody and sera from three gastrointestinal cancer patients all recognized the 50-kDa recombinant livin protein (Fig. 1B ), whereas serum from the healthy donor was not reactive. Kasof and Gomes (1) reported that the overall protein identity of livin to survivin based on GAP pairwise sequence alignment (GCG) was 26.3%. Survivin, a member of another IAP family, is overexpressed by most cancers (9)(10). Rohayem et al. (6) reported that 11 of 51 sera from lung cancer patients (22%) and 4 of 49 sera from colorectal cancer patients (8%) reacted with recombinant survivin protein in an anti-survivin assay. We previously reported detection of anti-survivin antibodies in 25 of 63 gastrointestinal cancer patients (40%) when the cutoff value for positivity was set at the mean absorbance for healthy donor samples +2 SD (5). Survivin is recognized not only by antibodies but also by cytotoxic T-lymphocytes (7)(11). Thus, survivin is considered a major cancer antigen. Livin is expressed by most cancers, including carcinomas of the breast, cervix, colon, and prostate, as well as by melanomas and by leukemia and lymphoma cells (1)(2)(3)(4). In the present study, gastric cancer, colon cancer, pancreatic cancer, and hepatoma cells showed overexpression of livin mRNA. The relatively high prevalence of anti-livin antibodies in gastrointestinal cancer patients (47%) and the lack of correlation with anti-survivin antibodies suggest that testing for anti-livin antibodies may be useful for detecting these cancers. Together with previously reported findings, our results suggest that livin might serve as a novel cancer antigen.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,319
Écart entre enseignants0,304 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations83
Publié2003
Routes d'admission1
Résumé présentoui

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